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L-Phenylalanine — label CAS 63-91-2

L-Phenylalanine

PHE

CAS 63-91-2 EC 200-568-1 C9H11NO2 Powder
MolGod_SDSCARD_1
REACH 2020/878
v1 · 22.09.2026

Specification

Product NameL-Phenylalanine
Other NamesPHE
CAS No.63-91-2
EINECS No.200-568-1
MFC9H11NO2
Molecular weight165.19
Purity99.5%
AppearancePowder
Density1.202 g/cm³
Melting point270-275°C (lit.)
Boiling point293.03°C (rough estimate)
Flashing point153.1°C

Values are typical for the standard grade. Tighter specifications are available — state the target in your inquiry and we confirm against the production batch.

L-Phenylalanine
L-Phenylalanine
L-Phenylalanine
L-Phenylalanine
L-Phenylalanine

L-Phenylalanine (CAS 63-91-2) is an essential amino acid widely used across industries such as food, pharmaceuticals, nutraceuticals, and animal nutrition. From a procurement perspective, it is valued for its high purity, stable chemical properties, and important role as a key building block in protein synthesis and metabolic processes.

  • L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical ApplicationsL-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical ApplicationsL-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

Product Description

L-Phenylalanine (CAS 63-91-2) is an essential amino acid widely used across industries such as food and beverage, pharmaceuticals, nutraceuticals, and animal nutrition. From a procurement perspective, it is valued for its high purity, stable chemical characteristics, and its critical role as a precursor in protein synthesis and various metabolic pathways.

In food and beverage applications, L-Phenylalanine is commonly used as a nutritional fortifier and as a key component in the production of high-intensity sweeteners such as aspartame. Its consistent quality and stability enable manufacturers to maintain reliable taste profiles and product performance.

Within the nutraceutical and dietary supplement sector, L-Phenylalanine is utilized in formulations aimed at supporting cognitive function, mood balance, and overall metabolic health. Its compatibility with other amino acids and active ingredients allows for flexible formulation in capsules, tablets, and powder blends.

In pharmaceutical applications, L-Phenylalanine serves as an important intermediate and active component in specific therapeutic formulations. Its well-defined purity and controlled production standards are essential for meeting strict regulatory requirements.

In animal nutrition, L-Phenylalanine is used as a feed additive to improve protein utilization and support growth performance, contributing to more efficient feed formulations.

From a sourcing and supply chain standpoint, high-quality L-Phenylalanine provides:

  • High purity with strict impurity control

  • Stable chemical properties and long shelf life

  • Consistent batch-to-batch quality

  • Compliance with food grade and pharmaceutical grade standards

  • Flexible packaging options and reliable global supply

For buyers focused on product quality, formulation flexibility, and regulatory compliance, L-Phenylalanine is a reliable and versatile amino acid ingredient across multiple application sectors.

L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

Delivery&Payment method

L-Phenylalanine(PHE) High Purity Essential Amino Acid for Nutrition, Food & Pharmaceutical Applications

Frequently asked

Is a safety data sheet available for L-Phenylalanine?

Yes, on request. Safety data sheets are issued per grade and destination market; state the country of import in your inquiry.

What purity do you supply?

The standard grade is 99.5%. Tighter specifications are confirmed against the production batch before shipment.

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🧬 3D Molecule Visualizer
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3D model L-Phenylalanine, CAS 63-91-2, molecular formula C9H11NO2, molar mass 165.19 g/mol

Data transcribed from regulatory registers and technical literature, with the source and edition stated. It does not replace the supplier's safety data sheet. Fields without a recorded source are marked as such.

📊 Physicochemical data — CAS 63-91-2MolGod_PROPHUB_MAIN
📊 Physicochemical properties

Quick Reference

Formula: C9H11NO2
MW: 165.19 g/mol
CAS: 63-91-2
🔬 Advanced Properties

Chemical Identifiers

SMILES: C1=CC=C(C=C1)C[C@@H](C(=O)O)N

Last updated: 2026-09-21

Chemical Overview: L-PhenylalanineMolGod_OVERVIEW_1
Molecular formulaC9H11NO2[1]
Molecular weight165.19 g/mol[1]
Melting point283 °C[1]
LogP (lipophilicity)-1.5[1]
IUPAC name(2S)-2-amino-3-phenylpropanoic acid[1]
SMILESC1=CC=C(C=C1)C[C@@H](C(=O)O)N[1]
InChIKeyCOLNVLDHVKWLRT-QMMMGPOBSA-N[1]

Synonyms: L-phenylalanine · phenylalanine · 63-91-2 · (S)-2-Amino-3-phenylpropanoic acid · (2S)-2-amino-3-phenylpropanoic acid

Data sources: PubChem (NLM/NIH)
Last updated: 2026-09-21

📚 Scientific references (Chicago Author-Date) (1 sources)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: Molecular formula · Molecular weight · Melting point · LogP (lipophilicity) · IUPAC name · SMILES · InChIKey

SCIENTIFIC RESEARCH

[1]PubMed2025
N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.
Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org
Go to full study ↗
[2]PubMed2024
SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.
Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insigh
Go to full study ↗
[3]Doaj2021
Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine
Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules2614
Go to full study ↗
📚 Scientific references (Chicago Author-Date) 3 refs · 2 baz

MOLECULE Per-CAS bibliography (live from 13+ databases)

Sources: db:pubmed (2) · db:doaj (1)

  1. db:pubmed Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296 →
  2. db:pubmed Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876 →
  3. db:doaj Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298 →
Regulatory status of the substance
No entries for this CAS in the restriction lists checked (SVHC candidate list, REACH Annex XVII; datasets incomplete — this is not a confirmation of compliance). CLP classification and transport status (ADR): see the GHS section and the safety data sheet (SDS).
🧮 Stoichiometry CalculatorMolGod_STOICH_1
🧪 Chemical DataMolGod_CHEMDATA_1
CAS Number
63-91-2
Molecular formula
C9H11NO2
Molar mass
165.19 g/mol
IUPAC name (EN)
(2S)-2-amino-3-phenylpropanoic acid
SMILES
C1=CC=C(C=C1)C[C@@H](C(=O)O)N
InChIKey
COLNVLDHVKWLRT-QMMMGPOBSA-N
📚 Scientific literature (1 article)MolGod_LITSCI_1
📡 Data sourcesMolGod_SOURCES_1

The data in this widget comes from the following verified scientific sources:

  • PubChem — National Center for Biotechnology Information (NCBI/NIH), USA
  • ChEMBL — European Bioinformatics Institute (EMBL-EBI), UK
  • NIST WebBook — National Institute of Standards and Technology, USA

Data is cached locally for speed — the widget also works offline.

🔍 External identifiersMolGod_EXTID_1
15 of 16 ID systems94%
DatabaseIdentifierActions
CAS Registry Number63-91-2Open →
PubChem CID6140[1]Open →
InChIKeyCOLNVLDHVKWLRT-QMMMGPOBSA-N[1]Open →
InChIInChI=1S/C9H11NO2/c10-8(9(11)12)6-7-4-2-1-3-5-7/…[1]
SMILESC1=CC=C(C=C1)C[C@@H](C(=O)O)N[1]
EC Number200-568-1[2]Open →
ChEMBLCHEMBL301523[3]Open →
DrugBankDB00120Open →
KEGG CompoundC00079Open →
HMDBHMDB0000159Open →
ChemSpider5910[4]Open →
MeSH UID (NLM)D010649Open →
UNII (FDA)47E5O17Y3ROpen →
NSC Number (NCI)79477Open →
WikiData QIDQ170545Open →

Sources: PubChem (NIH), Wikidata SPARQL, KEGG, ChEMBL (EBI), CompTox CTX (EPA).

📚 Scientific references (Chicago Author-Date) (4 sources)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: PubChem CID · InChIKey · InChI · SMILES
  2. ECHA. EC Inventory — EINECS, ELINCS, NLP and List Numbers assigned under REACH. Helsinki: European Chemicals Agency. ↗ dotyczy: EC Number
  3. ChEMBL. European Bioinformatics Institute (EMBL-EBI), bioactivity database. ↗ dotyczy: ChEMBL
  4. ChemSpider. Royal Society of Chemistry, chemical structure database. ↗ dotyczy: ChemSpider

Dalsza literatura

Publications thematically related to this CAS. They are not the source of any value given on this card.

Extended Bibliography (6)

  1. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012. link [accessed: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001. link [accessed: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01. link [accessed: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001. link [accessed: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01. link [accessed: 2026-09-23] CC0 (metadata)
  6. ★☆☆☆☆ OPENLIBRARY 🔓 OPEN Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University. link [accessed: 2026-09-21] CC0 (metadata)
📡 Spectroscopy — CAS 63-91-2MolGod_SPECHUB_MAIN
📊 Spectroscopic spectra databases — inline data 9 sources MolGod_SPECDB_2

Spectra are fetched on demand from 9 sources. Each spectrum is stored in our database — the next time it is opened there are zero requests to the external API. Download JCAMP-DX / CSV / PNG for every spectrum without searching.

IR IR (Infrared) — NIST WebBook
Public domain (US Federal)
▶ Click to load spectrum
🔗 Source
— points
📚 NIST Chemistry WebBook, SRD 69
MS (NIST) Mass Spectrum (EI) — NIST WebBook
Public domain (US Federal)
▶ Click to load spectrum
🔗 Source
— points
📚 NIST Standard Reference Database 1A
UV-Vis UV/Visible Absorption — NIST WebBook
Public domain (US Federal)
▶ Click to load spectrum
🔗 Source
— points
📚 NIST Chemistry WebBook, SRD 69
¹H NMR NMR (¹H, ¹³C) — NMRShiftDB
CC-BY-SA 4.0
▶ Click to load spectrum
🔗 Source
— points
📚 Steinbeck C et al. (2003) J. Chem. Inf. Comput. Sci. 43(1):10–16 DOI: 10.1021/ci025588g
MS (MoNA) MoNA — MassBank of North America
CC-BY 4.0
▶ Click to load spectrum
🔗 Source
— points
📚 MassBank of North America (UC Davis) DOI: 10.1002/jms.1777
IR/NMR/MS (SDBS) SDBS — Spectral Database for Organic Compounds (Japan AIST)
Free for non-commercial

Reference source — no public API. Open in an external database:

🔗 IR/NMR/MS (SDBS) →
📚 SDBSWeb: https://sdbs.db.aist.go.jp (AIST, Japan)
JP Monograph Japanese Pharmacopoeia — Monographs
Reference only

Reference source — no public API. Open in an external database:

🔗 JP Monograph →
📚 Japanese Pharmacopoeia 18th Edition (2021)
WHO INN WHO — International Nonproprietary Names
WHO Model Lists (free)

Reference source — no public API. Open in an external database:

🔗 WHO INN →
📚 WHO INN Programme
DOAJ DOAJ — Directory of Open Access Journals
OA journal index (mixed)

Reference source — no public API. Open in an external database:

🔗 DOAJ →
📚 DOAJ — doaj.org

Data is fetched once (JCAMP-DX parser) and stored in the plugin's local database. No duplicate downloads, no NIST queries on subsequent openings. Licences respected (only a deep link plus our own visualisation is published).

🔬 Interactive spectra (live — NIST / MoNA / NMRShiftDB / SDBS) (2)

Data retrieved live from multiple sources (priority chain). JCAMP-DX / CSV / PNG available for download under each spectrum.

IR — Fourier-transform infrared

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MS — Mass spectrometry (EI 70eV)

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Structural propertiesMolGod_STRUCT3D_1

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❓ Frequently asked questions (3)MolGod_FAQ_1
What is 63-91-2?
63-91-2 (CAS 63-91-2) is a chemical compound. The chemical data comes from PubChem (National Institutes of Health, USA).
Helpful?
What is the CAS number of 63-91-2?
The CAS number for 63-91-2 is 63-91-2. A CAS Registry Number is the standard identifier for a chemical substance in scientific literature and in trade.
Helpful?
How should 63-91-2 be stored?
63-91-2 should be stored as its safety data sheet directs \— typically in a dry, cool, well-ventilated place, away from heat and from materials it is incompatible with.
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Download structure filesMolGod_STRDL_1

Molecular structure files from the PubChem database (NIH). Compatible with Avogadro, PyMOL, Jmol, and ChemDraw.

Source: PubChem, National Library of Medicine (NIH). CID: 6140

🔄 Concentration unit converter LIVE MolGod_UNITCONV_1

Enter the L-Phenylalanine concentration in any unit — the rest will be calculated automatically.

MW: 165.19 g/mol · IUPAC Gold Book ↗

⚗️ Conversion formulas + citations (per formula)
ConversionFormulaAccuracySource
% (w/v) ↔ molarityc (mol/L) = (% × 10) / MW±0.5% rel. when density ≈ 1.0 g/mLIUPAC (2019)
millimolar ↔ molarc (mol/L) = mM × 10⁻³ExactCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
molarity (mol/L)c = n/V = (m/MW)/V±0.1% (depends on MW precision)IUPAC (2019)
parts per million (mg/L) ↔ molarityc (mol/L) = ppm / (1000 × MW); equivalently ppm = mg/L for dilute aqueous±1% (density-independent for dilute solutions)IUPAC (2019)
mg/mL ↔ molarityc (mol/L) = (mg/mL × 1000) / MW / 1000 = mg/mL / MW × 1±0.2%Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
g/L ↔ molarityc (mol/L) = (g/L) / MW±0.1% (depends on MW precision)Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
mmol/L ↔ molarityc (mol/L) = mmol/L × 10⁻³ExactCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
Celsius ↔ KelvinT(K) = t(°C) + 273.15±0.01 K (ITS-90 scale)BIPM (Bureau International des Poids et Mesures) (2019)
Celsius ↔ FahrenheitT(°F) = T(°C) × 9/5 + 32±0.1 °FThompson A, Taylor BN (2008)
density-corrected % ↔ molarityc (mol/L) = (%w/w × ρ × 10) / MW, ρ in g/mL±0.1% when ρ known to 3 decimalsCohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007)
📚 Bibliography (8 authoritative sources)
  1. Thompson A, Taylor BN (2008). Guide for the Use of the International System of Units (SI). NIST Special Publication 811 · DOI: 10.6028/NIST.SP.811-2008
    → Primary SI standard for US scientific usage
  2. Cohen ER, Cvitaš T, Frey JG, Holmström B, Kuchitsu K, Marquardt R, Mills I, Pavese F, Quack M, Stohner J, Strauss HL, Takami M, Thor AJ (2007). Quantities, Units and Symbols in Physical Chemistry — The IUPAC Green Book. RSC Publishing, 3rd ed. · DOI: 10.1039/9781847557889 · ISBN: 978-0-85404-433-7
    → Canonical IUPAC guide for chemistry quantities/units
  3. BIPM (Bureau International des Poids et Mesures) (2019). The International System of Units (SI), 9th edition. BIPM · ↗
    → International SI definitions (incl. redefined kilogram 2019)
  4. ISO/IEC (2022). Quantities and units — Part 1: General. International Organization for Standardization — ISO 80000-1:2022 · ↗
    → General rules for physical quantities and units
  5. ISO/IEC (2019). Quantities and units — Part 9: Physical chemistry and molecular physics. International Organization for Standardization — ISO 80000-9:2019 · ↗
    → Concentration / molality / amount-of-substance conventions
  6. Tiesinga E, Mohr PJ, Newell DB, Taylor BN (2021). CODATA recommended values of the fundamental physical constants: 2018. Rev. Mod. Phys. 93(2):025010 · DOI: 10.1103/RevModPhys.93.025010
    → Avogadro, gas constant, molar volume (2019 SI revision)
  7. IUPAC (2019). Compendium of Chemical Terminology — the IUPAC Gold Book (online). IUPAC · DOI: 10.1351/goldbook
    → Definitions of mass fraction, molality, normality, ppm, activity
  8. Mills IM, Cvitaš T, Homann K, Kallay N, Kuchitsu K (1988). Quantities, Units and Symbols in Physical Chemistry. Blackwell Scientific Publications, 1st ed. · ISBN: 0-632-01773-5
    → Historical predecessor of IUPAC Green Book
Similar molecular structuresMolGod_SIMSTR_1

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🧪 Solution Preparation Wizard WIZARD MolGod_PREP_1
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Calculations per: IUPAC Gold Book ↗, Merck ↗

Computational chemistryMolGod_COMPCHEM_1

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🛡️ Safety — CAS 63-91-2MolGod_SAFEHUB_MAIN
Data limitations notice. The safety information on this page is for reference only and does not replace a full safety data sheet (SDS). Before using the product, consult the manufacturer's current safety data sheet and the GHS/CLP guidance. The CLP classification applies to the pure bulk substance, not to commercial formulations.

No harmonised GHS classification for this substance — see the supplier's current safety data sheet (SDS).

📚 Consolidated scientific references — Chicago Author-Date 10 sources

References collected from all Safety Hub tabs. CAS: 63-91-2 · PubChem ↗

  1. Parlament Europejski i Rada UE. 2008. "Rozporządzenie (WE) nr 1272/2008 w sprawie klasyfikacji, oznakowania i pakowania substancji (CLP)." Dz.Urz. UE L 353. [↗] GHS, Regulations
  2. United Nations Economic Commission for Europe (UNECE). 2021. "Globally Harmonized System of Classification and Labelling of Chemicals (GHS), Ninth Revised Edition." United Nations, Geneva. [↗] GHS
  3. Goldfrank, Lewis R., Robert S. Hoffman, Mary Ann Howland, et al.. 2019. "Goldfrank's Toxicologic Emergencies, 11th ed.." McGraw-Hill Education, New York. ISBN 978-1-25-985961-8. Pierwsza pomoc, Toksykologia
  4. National Institute for Occupational Safety and Health (NIOSH). 2023. "NIOSH Pocket Guide to Chemical Hazards (DHHS Publ. 2005-149)." U.S. Department of Health and Human Services / CDC, Cincinnati, OH. [↗] Pierwsza pomoc, PPE, Toksykologia
  5. European Committee for Standardization (CEN). 2016. "EN 374-1:2016 — Protective gloves against dangerous chemicals and micro-organisms." CEN, Brussels. [↗] PPE
  6. UNECE. 2023. "European Agreement Concerning the International Carriage of Dangerous Goods by Road (ADR 2025)." United Nations, Geneva. [↗] Utylizacja, Regulacje
  7. National Fire Protection Association (NFPA). 2022. "NFPA 400 — Hazardous Materials Code." NFPA, Quincy, MA. [↗] Magazynowanie
  8. Urben, P.G. (ed.). 2017. "Bretherick's Handbook of Reactive Chemical Hazards, 8th ed.." Butterworth-Heinemann / Elsevier, Oxford. [↗] Magazynowanie
  9. Ministerstwo Klimatu i Środowiska RP. 2023. "Baza danych o produktach i opakowaniach oraz o gospodarce odpadami (BDO)." Ministerstwo Klimatu i Środowiska, Warszawa. [↗] Utylizacja
  10. International Agency for Research on Cancer (IARC / WHO). 2024. "IARC Monographs on the Identification of Carcinogenic Hazards to Humans — List of Classifications." WHO, Lyon. [↗] Toksykologia

Tabs with their own references (Emergency, PPE, Storage, Waste) contain additional bibliographic entries within their respective sections.

📈 Analytical statistics (t-test · RSD · Grubbs · Q-Dixon) ICH Q2

Paste a series of replicate measurements (CSV, or one number per line). The calculator computes the mean, standard deviation and 95% CI, and detects outliers (Grubbs + Dixon Q).

Separator: comma, space, tab, new line. Minimum 3 measurements.
📐 Statistical formulas
  • x̄ = Σxᵢ / n — arithmetic mean
  • s² = Σ(xᵢ - x̄)² / (n-1) — sample variance
  • s = √s² — standard deviation
  • RSD% = (s / x̄) × 100% — relative standard deviation
  • CI₉₅ = x̄ ± t(0.05, n-1) × s / √n — Student's t
  • G = |xᵢ - x̄| / s — Grubbs' test
  • Q = |xsuspect - xnearest| / |xmax - xmin| — Dixon Q-test

Source: ICH Q2(R2) Validation of Analytical Procedures · ICH PDF ↗

🧪 Buffer Recipe Calculator UNIQUE
References: pKa values from Goldberg NIST 81 · CRC Handbook 100th ed. · Stoll & Blanchard 1990 (DOI)

Choose a buffer from the list of 20 popular systems → enter the target pH → get an exact recipe with the masses to weigh out.

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📜 Recipe history (last 10)
Pharmacological Status

Badania kliniczne Faza 3

Phase I
Phase II
Phase III
Approved

Phase III — large-scale multicenter comparative trials in a broad population.

ChEMBL CHEMBL301523 ↗

Extended Bibliography (6)

  1. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012. link [accessed: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001. link [accessed: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01. link [accessed: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001. link [accessed: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01. link [accessed: 2026-09-23] CC0 (metadata)
  6. ★☆☆☆☆ OPENLIBRARY 🔓 OPEN Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University. link [accessed: 2026-09-21] CC0 (metadata)
📅 Project Planner — Lab Experiment Manager NEW

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🧪 Solubility and solvent compatibility MolGod_SOLUB_1
Molecule
L-Phenylalanine
Formula
C9H11NO2
logP (XLogP3)
-1.50
Mass (g/mol)
165.19
Polarity
Hydrophilic (polar)

⚠️ GC estimate (Hoftyzer–Van Krevelen). No literature HSP data for this CAS — precision ±2 MPa½. Verify experimentally.

Ra < R₀ = good miscibility · Ra < 1,5×R₀ = borderline · above = poor (R₀ — radius of the Hansen sphere of this molecule) For this molecule R₀ = 8..

Solvent Compat. Ra Visual GC-MS HPLC Applications References
Water (H₂O)26.9 g/L (pomiar)—
✗ NieA (aqueous) (RP)
buffercell cultureanalyticalextraction (hydrophilic)
Ethanol (EtOH)——brak podstawy✗ NieA/B modifier (RP/NP)
extractionspectroscopy (UV-Vis)synthesisHPLC modifier
Methanol (MeOH)——brak podstawy✗ NieA/B (RP) (RP)
HPLC (eluent)LC-MSKarl FischerUV-transparent to 205 nm
Acetone——brak podstawy✗ NieB modifier (NP)
GC headspacecrystallisationdegreasingsynthesis
Acetonitrile (ACN)——brak podstawy✗ NieB (RP) (RP)
HPLC eluent (gold standard)LC-MS (low UV cut-off, 190 nm)peptide analysis
DMSO——brak podstawy✗ NieN/A (N/A)
NMR (d6-DMSO)cell biology (cryopreservation)drug deliverysynthesis
THF——brak podstawy✗ NieB (NP) (NP)
GPC/SEC (polymer analysis)Grignard synthesisorganometallics
DCM (CH₂Cl₂)——brak podstawy✓ TakB (NP) (NP)
extractionNP-HPLCGC-MScrystallisation (anti-solvent)
Chloroform (CHCl₃)——brak podstawy✓ TakN/A (toxic) (N/A)
NMR (CDCl3)lipid extraction (Folch method)NP-TLC
Hexane——brak podstawy✓ TakA (NP) (NP)
NP-HPLCoil extraction (lipids)GC-MSTLC (NP)
Toluene——brak podstawy✓ TakB (NP) (NP)
NMR (d8-toluene)synthesisazeotropic drying (Dean-Stark)
📚 Scientific references for solvents (Chicago Author-Date) — click to expand

11 solvents · 54 full citations (NIST/CRC/IARC/Hansen/Reichardt/Smallwood/Wypych/Armarego/Snyder/GESTIS) — below.

Water (H₂O)
  1. NIST — NIST Chemistry WebBook — Water (CAS 7732-18-5)
  2. CRC — CRC Handbook of Chemistry and Physics, 104th ed., Sec. 8 (Properties of Water)
  3. IAPWS — IAPWS Release on Static Dielectric Constant of Water
  4. Reichardt 2011 — Solvents and Solvent Effects in Organic Chemistry
  5. GESTIS — GESTIS Substance Database — Water
Ethanol (EtOH)
  1. NIST — NIST Chemistry WebBook — Ethanol (CAS 64-17-5)
  2. CRC — CRC Handbook — Ethanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — Ethanol eluotropic
  4. Smallwood — Handbook of Organic Solvent Properties — Ethanol
  5. GESTIS — GESTIS Substance Database — Ethanol
Methanol (MeOH)
  1. NIST — NIST Chemistry WebBook — Methanol (CAS 67-56-1)
  2. CRC — CRC Handbook — Methanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — MeOH eluotropic, eo=0.95
  4. GESTIS — GESTIS Substance Database — Methanol
Acetone
  1. NIST — NIST Chemistry WebBook — Acetone (CAS 67-64-1)
  2. CRC — CRC Handbook — Acetone physical & thermodynamic constants
  3. Hansen 2007 — Hansen Solubility Parameters — Acetone (dD=15.5, dP=10.4, dH=7.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Acetone
  5. GESTIS — GESTIS Substance Database — Acetone
Acetonitrile (ACN)
  1. NIST — NIST Chemistry WebBook — Acetonitrile (CAS 75-05-8)
  2. CRC — CRC Handbook — Acetonitrile constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — ACN gold-standard HPLC eluent
  4. Reichardt 2011 — Solvents and Solvent Effects — ACN dipolar aprotic
  5. GESTIS — GESTIS Substance Database — Acetonitrile
DMSO
  1. NIST — NIST Chemistry WebBook — DMSO (CAS 67-68-5)
  2. Wypych 2019 — Handbook of Solvents Vol. 1 — DMSO comprehensive properties
  3. Hansen 2007 — HSP — DMSO (dD=18.4, dP=16.4, dH=10.2)
  4. Reichardt 2011 — Solvents and Solvent Effects — DMSO E_T(30)=45.1, dipolar aprotic
  5. GESTIS — GESTIS Substance Database — DMSO
THF
  1. NIST — NIST Chemistry WebBook — THF (CAS 109-99-9)
  2. Armarego 2009 — Purification of Laboratory Chemicals — THF drying & peroxide test
  3. Hansen 2007 — Hansen Solubility Parameters — THF (dD=16.8, dP=5.7, dH=8.0)
  4. Smallwood — Handbook of Organic Solvent Properties — THF
  5. GESTIS — GESTIS Substance Database — Tetrahydrofuran
DCM (CH₂Cl₂)
  1. NIST — NIST Chemistry WebBook — Dichloromethane (CAS 75-09-2)
  2. IARC 71 — IARC Monograph 71 — DCM (Group 2A carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — DCM (dD=18.2, dP=6.3, dH=6.1)
  4. Reichardt 2011 — Solvents and Solvent Effects — DCM polarity index
  5. GESTIS — GESTIS Substance Database — Dichloromethane
Chloroform (CHCl₃)
  1. NIST — NIST Chemistry WebBook — Chloroform (CAS 67-66-3)
  2. IARC 73 — IARC Monograph 73 — Chloroform (Group 2B carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — CHCl3 (dD=17.8, dP=3.1, dH=5.7)
  4. Reichardt 2011 — Solvents and Solvent Effects — CHCl3 H-bond donor strength
  5. GESTIS — GESTIS Substance Database — Chloroform
n-Hexane
  1. NIST — NIST Chemistry WebBook — n-Hexane (CAS 110-54-3)
  2. ATSDR n-Hexane — ATSDR Toxicological Profile for n-Hexane — neuropatia obwodowa (n-Heksan NIE jest kancerogenem IARC)
  3. Hansen 2007 — Hansen Solubility Parameters — n-Hexane (dD=14.9, dP=0, dH=0)
  4. Snyder & Kirkland — Modern Liquid Chromatography — n-Hexane NP standard, eo=0.00
  5. GESTIS — GESTIS Substance Database — n-Hexane
Toluene
  1. NIST — NIST Chemistry WebBook — Toluene (CAS 108-88-3)
  2. IARC 71 — IARC Monograph 71 — Toluene
  3. Hansen 2007 — Hansen Solubility Parameters — Toluene (dD=18.0, dP=1.4, dH=2.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Toluene
  5. GESTIS — GESTIS Substance Database — Toluene
Solubility theory (applied in compatibility prediction):
  1. Yalkowsky, Samuel H., and Shri C. Valvani. 1980. "Solubility and Partitioning I: Solubility of Nonelectrolytes in Water." Journal of Pharmaceutical Sciences 69 (8): 912–922. https://doi.org/10.1002/jps.2600690814 — General Solubility Equation (GSE): logS = 0.5 − logP − 0.01(MP−25).
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. CRC Press. https://doi.org/10.1201/9781420006834 — HSP triplet (dD, dP, dH) + Ra formula.
  3. Stefanis, E., and C. Panayiotou. 2008. "Prediction of Hansen Solubility Parameters with a New Group-Contribution Method." Int J Thermophys 29: 568–585. https://doi.org/10.1007/s10765-008-0415-z
  4. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Wiley-VCH. https://doi.org/10.1002/9783527632220 — E_T(30) polarity scale, solwatochromia.
  5. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Wiley. https://doi.org/10.1002/9780470508183 — Eluotropic series, polarity index.
  6. Van Krevelen, D. W., and K. Te Nijenhuis. 2009. Properties of Polymers. 4th ed. Elsevier. https://doi.org/10.1016/B978-0-08-054819-7.X0001-5 — Hoftyzer–Van Krevelen group contribution dla dD/dP/dH z SMILES.
  7. Marcus, Yizhak. 1998. The Properties of Solvents. Wiley Series in Solution Chemistry, Vol. 4. ISBN 9780471983699 — Complete tabular set of 250+ solvents (ε, μ, donicity, acceptor numbers).
  8. PubChem Compound Database — CAS 63-91-2 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Full bibliography in the REFERENCES accordion (at the bottom of the page) — Chicago Manual of Style 17th ed., Author-Date.

⚗️ Check reaction compatibility MolGod_RXNCOMP_1

Check whether L-Phenylalanine is compatible with another reagent

📦 Storage compatibility matrix
Acids Bases Oxidizers Flammable Toxic Gazy
Acids ✓ ✗ ✗ ✗ ⚠ ✗
Bases ✗ ✓ ⚠ ⚠ ⚠ ⚠
Oxidizers ✗ ⚠ ✓ ✗ ⚠ ✗
Flammable ✗ ⚠ ✗ ✓ ⚠ ✗
Toxic ⚠ ⚠ ⚠ ⚠ ✓ ⚠
Gazy ✗ ⚠ ✗ ✗ ⚠ ✓
✓ Can be stored together · ⚠ Caution · ✗ Do NOT store together · OSHA Chemical Segregation ↗

Compatibility data from: Bretherick's Handbook (7th ed.) ↗, GESTIS ↗, ECHA REACH ↗, NFPA 704 ↗

🧮 Laboratory calculators (8) MolGod_LABCALC_1
Dilution (C₁V₁=C₂V₂)
Molarity (M=n/V)
pH Buffer (Henderson-Hasselbalch)
Beer-Lambert (A=εcl)
Mass → Moles
Concentration % → M
ppm → mg/L
Temperature C↔F↔K

Verified formulas: IUPAC Gold Book ↗, DOI ↗

📊 Spectroscopic Databases MolGod_SPECDB_3
📋 Laboratory protocol generator MolGod_PROTOCOL_1

Protocol generated based on: GHS SDS, Aldrich Lab Guide ↗

🏷️ Label generator (QR) MolGod_LABEL_1
L-Phenylalanine• phenylalanine / 3-Phenyl-L-alanine• IUPAC: (2S)-2-amino-3-phenylpropanoic acid• CAS: 63-91-2• EC: 200-568-1• Formula: C9H11NO2• Mass: 165.19 g/molAnhui Eapearl Chemical Co., Ltd.12th Floor, Tongguan Number Valley, Tongling, Anhui, China+86 186 5620 1888[email protected]epchems.com
Deskryptory Lipinskiego (struktura)

Drug-likeness radar chart (Lipinski Ro5 / Veber). Green zone = compliance with criteria.

Predictive data — properties calculated in silico (SMILES/RDKit). These do not replace clinical studies. Do not use for drug evaluation without experimental verification.

MW165.2LogP-1.5HBD2HBA3RotB3TPSA63.3 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (LogP=-1.5)✗ REOS (MW=165)✓ Lead-like Ro3
PropertyValueRating
Absorption (GI)high✓
BBB permeabilityno
Bioavailability (Daina 2017)
55%
CYP450 profileCYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
PAINS alerts0✓
Brenk alerts0✓
pKa (pH 7.4)2.2 (curated)
hERG (cardiotox.)✓ no
P-gp substrate—
Ames mutagenicity✓ no
DILI (hepatotox.)—
LogS (aq. solub.)—
Sources (ADMET methodology)
  1. Lipinski, Christopher A., Franco Lombardo, Beryl W. Dominy, and Paul J. Feeney. 1997. "Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings." Advanced Drug Delivery Reviews 23 (1-3): 3-25.
  2. Veber, Daniel F., Stephen R. Johnson, Hung-Yuan Cheng, et al. 2002. "Molecular properties that influence the oral bioavailability of drug candidates." Journal of Medicinal Chemistry 45 (12): 2615-2623.
  3. Daina, Antoine, Olivier Michielin, and Vincent Zoete. 2017. "SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness." Scientific Reports 7: 42717.
  4. Egan, William J., and Gregory Lauri. 2002. "Prediction of intestinal permeability." Advanced Drug Delivery Reviews 54 (3): 273-289.
  5. Baell, Jonathan B., and Georgina A. Holloway. 2010. "New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries." Journal of Medicinal Chemistry 53 (7): 2719-2740.
  6. Brenk, Ruth, Alessandro Schipani, Daniel James, et al. 2008. "Lessons learnt from assembling screening libraries for drug discovery for neglected diseases." ChemMedChem 3 (3): 435-444.
  7. Ertl, Peter, and Ansgar Schuffenhauer. 2009. "Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions." Journal of Cheminformatics 1: 8.
  8. Bickerton, G. Richard, Gaia V. Paolini, Jérémy Besnard, Sorel Muresan, and Andrew L. Hopkins. 2012. "Quantifying the Chemical Beauty of Drugs." Nature Chemistry 4 (2): 90-98.
  9. Hopkins, Andrew L., and Colin R. Groom. 2002. "The Druggable Genome." Nature Reviews Drug Discovery 1 (9): 727-730.
  10. Ghose, Arup K., Vellarkad N. Viswanadhan, and John J. Wendoloski. 1999. "A Knowledge-Based Approach in Designing Combinatorial or Medicinal Chemistry Libraries for Drug Discovery." Journal of Combinatorial Chemistry 1 (1): 55-68.
  11. Tice, Raymond R., Christopher P. Austin, Robert J. Kavlock, and John R. Bucher. 2013. "Improving the Human Hazard Characterization of Chemicals: A Tox21 Update." Environmental Health Perspectives 121 (7): 756-765.
  12. Leeson, Paul D., and Brian Springthorpe. 2007. "The Influence of Drug-Like Concepts on Decision-Making in Medicinal Chemistry." Nature Reviews Drug Discovery 6 (11): 881-890.
  13. Hann, Michael M. 2011. "Molecular Obesity, Potency and Other Addictions in Drug Discovery." MedChemComm 2 (5): 349-355.
  14. Davies, Mark, Michał Nowotka, George Papadatos, et al. 2015. "ChEMBL Web Services: Streamlining Access to Drug Discovery Data and Utilities." Nucleic Acids Research 43 (W1): W612-W620.
  15. Walters, W. Patrick, and Mark A. Murcko. 2002. "Prediction of 'Drug-Likeness.'". Advanced Drug Delivery Reviews 54 (3): 255–271. https://doi.org/10.1016/S0169-409X(02)00003-0.
  16. Congreve, Miles, Robin Carr, Christopher Murray, and Harren Jhoti. 2003. "A 'Rule of Three' for Fragment-Based Lead Discovery?" Drug Discovery Today 8 (19): 876–877. https://doi.org/10.1016/S1359-6446(03)02831-9.
  17. Brenk, Ruth, Alessandro Schipani, Daniel James, Agata Krasowski, Iain Hugh Gilbert, Julie Frearson, and Paul Graham Wyatt. 2008. "Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases." ChemMedChem 3 (3): 435-444.
  18. Schomburg, Karen T., Sascha Bietz, Hans Briem, Andrea M. Henzler, Stefan Urbaczek, and Matthias Rarey. 2014. "Facing the Challenges of Structure-Based Target Prediction by Inverse Virtual Screening." Journal of Chemical Information and Modeling 54 (6): 1676-1686.
  19. Bemis, Guy W., and Mark A. Murcko. 1996. "The Properties of Known Drugs. 1. Molecular Frameworks." Journal of Medicinal Chemistry 39 (15): 2887-2893.
  20. Schomburg, Karen T., and Matthias Rarey. 2014. "What Is the Potential of Structure-Based Target Prediction Methods?" Future Medicinal Chemistry 6 (17): 1987-1989.
  21. Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296
  22. Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876
  23. Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298
  24. Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001. [DOI ↗]
  25. Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University. ↗
  26. Bolton, Evan E., Yanli Wang, Paul A. Thiessen, and Stephen H. Bryant. 2008. "PubChem: Integrated Platform of Small Molecules and Biological Activities." Annual Reports in Computational Chemistry 4: 217-241. [DOI ↗]
  27. Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. [DOI ↗]
  28. Kim, Sunghwan, Tiejun Cheng, Jianyong He, Chen Cheng, et al. 2021. "PubChem Protein, Pathway, Reaction, and Disease Specifications." Journal of Cheminformatics 13: 16. [DOI ↗]
  29. Hähnke, Volker D., Sunghwan Kim, and Evan E. Bolton. 2018. "PubChem chemical structure standardization." Journal of Cheminformatics 10: 36. [DOI ↗]
  30. Wang, Yanli, Stephen H. Bryant, Tiejun Cheng, Jiyao Wang, et al. 2017. "PubChem BioAssay: 2017 update." Nucleic Acids Research 45 (D1): D955-D963. [DOI ↗]
  31. Cheng, Tiejun, et al. 2014. "Computation of Octanol-Water Partition Coefficients by Guiding an Additive Model with Knowledge." Journal of Chemical Information and Modeling 54 (3): 793-805. [DOI ↗]
  32. Wilkinson, Mark D., et al. 2016. "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018. [DOI ↗]
  33. Hersey, Anne, et al. 2015. "Chemical databases: curation or integration by user-defined equivalence?" Drug Discovery Today: Technologies 14: 17-24.
  34. Sandra Lynn Elliott. 2001. "Enzyme-mediated degradation of L-phenylalanine based segmented polyurethaneureas." National Library of Canada. ↗
  35. Veber, Daniel F., Stephen R. Johnson, Hung-Yuan Cheng, Brian R. Smith, Keith W. Ward, and Kenneth D. Kopple. 2002. "Molecular Properties That Influence the Oral Bioavailability of Drug Candidates." Journal of Medicinal Chemistry 45 (12): 2615-2623.
  36. ECHA. 2024. "REACH Guidance." European Chemicals Agency. ↗
  37. Groom, Colin R., Ian J. Bruno, Matthew P. Lightfoot, and Suzanna C. Ward. 2016. "The Cambridge Structural Database." Acta Crystallographica Section B 72 (2): 171-179. ↗
🧪 Solution preparation assistant (Smart Prep) MolGod_PREP_2

Enter what you want to prepare — I'll generate an SOP

Examples below — click to insert:
Preset recipes:
📚 Scientific literature overview — CAS 63-91-2MolGod_LITHUB_MAIN
⭐ Key findings (scientific literature) 1 publications
🏆 CAS 63-91-2 — multi-criteria ranking (W12): 30% citations · 20% recency · 20% topic · 15% historical · 15% open access.
  1. #1
    Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al. (2021) · Molecules
    Why it matters: Open access
    SCORE 5.55 Mechanism Open Access DOI ↗
🔬 HPLC — methods & parameters — CAS 63-91-2MolGod_HPLCHUB_MAIN
📈 HPLC gradient — optimizer (LSS) TEMPLATE

Gradient based on PubChem XLogP3 + LSS (Snyder et al. 2010, ch. 9).

  • Column: C18
  • Buffer: phosphate
  • Flow: 1 mL/min
  • logP: -1.5 (PubChem XLogP3)
  • Ramp: 5% → 95% B, 10 min
  • Total analysis time: 23 min
t (min) %A %B flow (mL/min) Comment
0 95 5 1 start (equilibrium)
2 95 5 1 end of initial hold
12 5 95 1 end of LSS ramp
17 5 95 1 column wash
18 95 5 1 return to init
23 95 5 1 re-equilibration
📚 Scientific references (Chicago Author-Date)
  1. Snyder, Lloyd R., John W. Dolan, and Joseph J. Kirkland. 2010. Introduction to Modern Liquid Chromatography. Wiley. — Chapter 9 — gradient elution, LSS theory (cited as Snyder et al. 2010 in tool description).
  2. Schoenmakers, Peter J. 1986. Optimization of Chromatographic Selectivity: A Guide to Method Development. Elsevier. — Numerical optimization of gradient programs.
  3. Snyder, L. R., and J. W. Dolan. 2007. High-Performance Gradient Elution: The Practical Application of the Linear-Solvent-Strength Model. Wiley. — Foundational LSS reference for the %B_init = 5 + 8·logP heuristic implemented here.
  4. Nikitas, Pavlos, and Adrian Pappa-Louisi. 2009. "Retention models for isocratic and gradient elution in reversed-phase liquid chromatography." Journal of Chromatography A 1216: 1737-1755. [DOI ↗] — Modern review of gradient retention models — basis for non-LSS extensions.
  5. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. [DOI ↗]
  6. Dong, Michael W. 2019. HPLC and UHPLC for Practicing Scientists. Wiley. https://doi.org/10.1002/9781119313793. — Modern UHPLC gradient programming, sub-2 µm scaling rules.
  7. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182. [DOI ↗]
  8. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531. [DOI ↗] — Reference for orthogonal gradient design (2D-LC second dimension).
  9. Dolan, John W.. 2013. "When to Modify Method Conditions." LCGC North America 31: 192-199.
  10. Meyer, Veronika R. 2010. Practical High-Performance Liquid Chromatography. Wiley. — Chapter 7 — practical gradient design with isokratyczny scouting.

REST: /wp-json/molgod/v1/hplc/gradient/63-91-2

📐 Column dimensions — van Deemter calculator N=12,466

Formula: H = A + B/u + C·u (Van Deemter et al. 1956), N = L/H, ΔP ≈ η·L·u / (K_p·dp²) (Knox 1977). u_opt = √(B/C) (Giddings 1965).

Dimensions150 × 4.6 mm, 5 µm
Theoretical plates (N)12,466
N at u_opt12,500
HETP (current)12.032 µm
Min. HETP12 µm
Linear velocity (u)0.1003 cm/s
u_opt (van Deemter)0.12 cm/s
Back pressure (ΔP)42.1 bar
Analysis time (dead volume)2.49 min
📚 Scientific references (Chicago Author-Date)
  1. Van Deemter, J. J., F. J. Zuiderweg, and A. Klinkenberg. 1956. "Longitudinal diffusion and resistance to mass transfer as causes of nonideality in chromatography." Chemical Engineering Science 5: 271-289. https://doi.org/10.1016/0009-2509(56)80003-1 — Original van Deemter equation paper — basis of H = A + B/u + C·u in this calculator.
  2. Giddings, J. Calvin. 1965. "Dynamics of Chromatography, Part I: Principles and Theory.". Marcel Dekker. — Theoretical underpinning of HETP minimum and u_opt = sqrt(B/C).
  3. Poppe, Hans. 1997. "Some reflections on speed and efficiency of modern chromatographic methods." Journal of Chromatography A 778: 3-21. https://doi.org/10.1016/S0021-9673(97)00376-2 — Speed-efficiency Pareto plot — context for sub-2 µm UHPLC scaling.
  4. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182. https://doi.org/10.1002/jssc.200700026 — UHPLC pressure scaling — extends Darcy ΔP formula to sub-2 µm particles.
  5. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. https://doi.org/10.1016/j.chroma.2008.11.094 — Modern reinterpretation of A, B, C terms (eddy diffusion vs. b-term).
  6. Knox, John H.. 1977. "Practical aspects of LC theory." Journal of Chromatographic Science 15: 352-364. https://doi.org/10.1093/chromsci/15.9.352 — Reduced plate height equation h = a·v^(1/3) + b/v + c·v.
  7. Dong, Michael W.. 2019. "HPLC and UHPLC for Practicing Scientists.". Wiley (2nd ed.). https://doi.org/10.1002/9781119313793 — Practical N targets vs particle size table (UHPLC method scaling).
  8. Snyder, L. R., J. J. Kirkland, and J. L. Glajch. 1997. "Practical HPLC Method Development.". Wiley (2nd ed.). — Column dimensioning rules of thumb (L, dp, dc) for given α and N.
  9. Engelhardt, Heinz. 2014. "100 Years of Chromatography.". Wiley-VCH (2nd ed.).
  10. Meyer, Veronika R.. 2010. "Practical High-Performance Liquid Chromatography.". Wiley (5th ed.).

REST: /wp-json/molgod/v1/hplc/column/63-91-2

🧪 Mobile phase — compatibility matrix MISCIBLE
Component Name UV cutoff (nm) P' Detectors
Solv. Acetonitrile (MeCN) 190 5.8 UV, MS, ELSD, RID, FLD
Solv. Water 190 10.2 UV, MS, ELSD, RID, FLD
Buffer Phosphate (KH2PO4 / K2HPO4) 195 pH 2.0-3.0 / 6.5-8.0 / 11.0-12.5 MS ✗

Detector: UV — compatible with both solvents.

📚 Scientific references (Chicago Author-Date)
  1. Sadek, Paul C.. 2002. "The HPLC Solvent Guide.". Wiley-Interscience (2nd ed.).
  2. Snyder, L. R.. 1978. "Classification of the solvent properties of common liquids." Journal of Chromatographic Science 16: 223-234. https://doi.org/10.1093/chromsci/16.6.223
  3. Reichardt, Christian, and Thomas Welton. 2010. "Solvents and Solvent Effects in Organic Chemistry.". Wiley-VCH (4th ed.).
  4. Vailaya, Anant, and Csaba Horváth. 1998. "Retention thermodynamics in hydrophobic interaction chromatography." Industrial & Engineering Chemistry Research 37: 4040-4055. https://doi.org/10.1021/ie980212h
  5. Krstulović, Andrea M., and Phyllis R. Brown. 1981. "Reversed-phase High-Performance Liquid Chromatography.". Wiley.
  6. Snyder, L. R., J. J. Kirkland, and J. L. Glajch. 1997. "Practical HPLC Method Development.". Wiley (2nd ed.).
  7. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. https://doi.org/10.1016/j.chroma.2008.11.094
  8. Boysen, Reinhard I., and Milton T. W. Hearn. 2009. "Multi-modal HPLC of proteins." Journal of Chromatographic Science 47: 645-654. https://doi.org/10.1093/chromsci/47.8.645
  9. Dong, Michael W.. 2019. "HPLC and UHPLC for Practicing Scientists.". Wiley (2nd ed.). https://doi.org/10.1002/9781119313793
  10. Meyer, Veronika R.. 2010. "Practical High-Performance Liquid Chromatography.". Wiley (5th ed.).

REST: /wp-json/molgod/v1/hplc/mobile-phase?solvent_a=...&solvent_b=...

🌈 Detector + wavelength (UV/Vis) 257 nm
CompoundL-Phenylalanine
λmax257 nm
λmin245 nm
εmax (M⁻¹·cm⁻¹)195
Solvent (reference)water
Suggested λ257 nm
Recommended detectorPDA/DAD
AlternativesUV, MS

Data source: Skoog 2017

📚 Scientific references (Chicago Author-Date) 13 refs · 2 baz

METODA Method Bibliography

  1. Skoog, Douglas A., F. James Holler, and Stanley R. Crouch. 2017. "Principles of Instrumental Analysis." 7th ed. Cengage Learning. ISBN 978-1-305-57721-3.
  2. Perkampus, Heinz-Helmut. 1992. "UV-VIS Spectroscopy and Its Applications." Springer. ISBN 978-3-642-77479-9. →
  3. Sadek, Paul C.. 2002. "The HPLC Solvent Guide." 2nd ed. Wiley-Interscience. ISBN 978-0-471-41138-4.
  4. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. "Introduction to Modern Liquid Chromatography." 3rd ed. Wiley. ISBN 978-0-470-16754-0. →
  5. Dong, Michael W.. 2019. "HPLC and UHPLC for Practicing Scientists." 2nd ed. Wiley. ISBN 978-1-119-31378-3. →
  6. Meyer, Veronika R.. 2010. "Practical High-Performance Liquid Chromatography." 5th ed. Wiley. ISBN 978-0-470-68218-0.
  7. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531 →
  8. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. "Probabilistic approach to peak deconvolution in chromatography." Analytical Chemistry 82: 8525-8531 →
  9. Kazakevich, Yuri V., and Rosario LoBrutto, eds.. 2007. "HPLC for Pharmaceutical Scientists." Wiley-Interscience. ISBN 978-0-471-68162-4. →
  10. Kim, Sunghwan, et al.. 2023. "PubChem 2023 update." Nucleic Acids Research 51: D1373-D1380 →

MOLECULE Per-CAS bibliography (live from 13+ databases)

Sources: db:pubmed (2) · db:doaj (1)

  1. db:pubmed Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296 →
  2. db:pubmed Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876 →
  3. db:doaj Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298 →

REST: /wp-json/molgod/v1/hplc/detector/63-91-2

Complete HPLC Method Guide Peer-Reviewed

Molecule-specific scenarios, troubleshooting, and literature references

Molecular Predictor

The predicted parameters for this molecule (CAS 63-91-2) are based on literature-backed models (Snyder-Dolan LSS, Neue pore-size rules).

Retention Time
-2.55 min
Range: 0.5 – -3.32
confidence: medium
Model: Snyder-Dolan LSS na kolumnie C18 150×4.6 mm, gradient 5→95% B w 15 min
UV λmax
254 nm
confidence: medium
Aromatic ring detected → 254 nm optimal
Concentration
0.5 mg/mL
= 3.027 mM
confidence: high
Safe linear range detektora UV (nie przekroczy 1.5 AU)
Buffer pH
2
Range: 1.5 – 2.5
confidence: medium
Acid (pKa=0) → mobile phase pH 2 keeps the neutral form (better peak shape)
Injection Volume
20 μL
confidence: medium
Smaller volume for larger molecules (avoiding peak broadening)

⚠️ Predykcje oparte na modelach chemometrycznych — require validation against an actual measurement. Confidence: low/medium/high depending on the available descriptors.

Real Chemist Problem

What is „system suitability" and do I have to do it?

The teacher said „run an SST". You have no idea what that is. The USP method has a checklist — 4 parameters. Which are critical?

How We Solve This

1

Exact Solvent List

Name + CAS + Grade + Role in method

2

Grade Explanations

HPLC vs LC-MS vs Far UV — when to use which

3

Consumption Calculator

4

Shopping List

One-click add to cart

Interactive Calculator

Deep Education

Understanding Mobile Phase Chemistry

Why Acetonitrile vs Methanol?
PropertyAcetonitrile (ACN)Methanol (MeOH)
Viscosity (20°C)0.37 cP0.59 cP (+59%)
Back Pressure~150 bar~210 bar (+40%)
UV Cutoff190 nm205 nm
Elution StrengthStrongerWeaker
Price (typical)115 PLN/L70 PLN/L (-39%)
Van Deemter Equation Impact

H = A + B/u + Cu

Higher viscosity (MeOH) → lower optimal flow rate → longer runtime.

Buffer Selection: Why NH₄HCO₃?
  • Volatile: MS-compatible (evaporates without residue)
  • pH range: 6.5–8.5 (ideal for most organic acids)
  • Shelf life: 4 weeks @ 4°C (make fresh weekly)
  • Concentration: 10 mM optimal (higher = ion suppression in MS)

Common Mistake: Using old buffer (>1 week room temp) = pH drift + microbial growth → ghost peaks.

Cost Savings Calculator

How much you save by using naszej metody zamiast alternatyw? Kwartalne koszty labu HPLC.

1. Solwenty — ACN vs MeOH

—
Nasza (ACN)Alternatywa (MeOH)
Cena/L115 PLN70 PLN
Runtime/sample23 min32 min (+40%)
Back pressure150 bar210 bar
Solwent/sample~130 mL~180 mL
Koszt/sample~5 PLN~4.5 PLN
Czas/sample23 min32 min
Czas pracy chemika——
Total/quarter——

2. Kolumna — z guard vs bez

—
Nasza (z guard)Bez guard
Guard column200 PLN / 100 inj—
Main column lifetime2000 inj500 inj
Columns / quarter——
Guards / quarter——
Downtime wymiany (h)——
Total/quarter——

3. Method development — SOP vs scratch

—
Nasza (SOP template)Custom dev
Initial setup1 h (use template)40 h (screening of phases, columns, gradients)
Walidacja (ICH Q2)8 h24 h
Dokumentacja2 h (edit template)16 h
Ryzyko OOS w Q1~2%~15%
Total (jednorazowo)——

4. Fast gradient (high-throughput) — ROI

—
Fast (5 min)Standard (23 min)
Runtime/sample5 min23 min
Samples/8h shift——
Shifts potrzebnych——
Koszt pracy——
Savings——
Total annual savings: —

Frequently Asked Questions

ACN: niższa lepkość (mniejsze ciśnienie), UV cutoff 190 nm. MeOH: 40% tańszy, ale wyższe ciśnienie +50 bar i UV cutoff 205 nm. Dla gradientu: ACN preferowany.

Source: Chromatography Forum

NIE dla LC-MS (sole w wodzie dest. → piki duchów). OK dla UV-HPLC tylko jeśli filtrujesz 0.22 μm. Bezpiecznie: HPLC grade 9 zł/L.

Source: ResearchGate

Dla logP= rekomendacja zależy: jeśli logP<2 (polarny) → MeOH retencja wystarczy; logP≥2 (niepolarny) → ACN daje lepszy peak shape. Dla tej molekuły (MW=165.19, CAS 63-91-2) zaczynaj od ACN w gradiencie 5→95% B.

Source: Snyder LSS Model

0.79 g NH₄HCO₃ (MW 79.06). Dissolve in 900 mL, make up to 1000 mL, check pH = 7.0±0.2.

Source: r/chemistry

Gradient Problem From The Lab

Transfer metody z HPLC na UHPLC

Your HPLC 4.6×250mm 5μm method works. You have to make a UHPLC version 2.1×50mm 1.7μm. How to scale it (Neue/Jorgenson)?

Our Gradient Strategy

  • Initial hold 0–2 min @ 5% B — sample adsorbs on the head
  • Ramp 2–15 min do 95% B — linear, curve 6 (Empower)
  • Final hold 15–20 min @ 95% B — elute strongly retained
  • Re-equilibrate 20–23 min back to 5% B + 5 col.volumes

Gradient Visualizer

Gradient Timeline

#Time%B start%B endDurationSlope (Δ%B/min)Step

Slope & Dwell Volume Test

—
Slope (Δ%B/min)
—
Gradient volume (mL)
—
Dwell vol estimate (mL)
—
k*·t0 (dla Rs)

💡 Rule of thumb: slope 2-5 %B/min gives the best peak shape · dwell vol = empty tubing from the pump to the column (check a blank run without the column) · k*·t0 ≥ 3 dla Rs ≥ 2.0.

Snyder-Dolan LSS Model

Log k = log kw − S·φ, gdzie φ = fraction B. Optymalny gradient: Δφ ≈ 0.6–0.8 per 5 t0. Dla kolumny 250×4.6mm @ 1 mL/min → t0 ≈ 2 min → gradient 10–12 min.

Frequently Asked Questions

Linear = płynne odklejanie związku od kolumny = lepszy peak shape (Tf < 1.3). Step gradient daje shock waves = artifacts.

Source: Snyder Seminar

Heurystyka Snydera: start%B = (logP - 1) × 10. Dla logP=2 → start 10% B. Zawsze z 2 min isocratic hold aby pozwolić próbce zaadsorbować.

Source: LCGC

Heurystyka Snyder: Rt ≈ 2.5·logP + 1.2 min. Dla (2S)-2-amino-3-phenylpropanoic acid (logP=) → szacunkowe Rt=— min. ±30% wariancja zależnie od dead volume i gradient slope. Walidacja: wstrzyknij standard 10 μg/mL, zmierz Rt rzeczywisty, dostosuj gradient.

Source: Predictive modeling

Column Choice Dilemma

First gradient — what to do step by step

You click Method Editor and see 10 empty time/%B rows. Where to start? How many points to enter?

Recommended Columns

A

Zorbax Eclipse Plus C18

150×4.6 mm · 3.5 μm · pH 2–9

B

Waters XBridge C18

150×4.6 mm · 3.5 μm · pH 1–12 (high pH)

C

Phenomenex Kinetex C18

100×4.6 mm · 2.6 μm core-shell · fast

Column Lifetime Rules

  • Clean samples: 2000–5000 injections
  • Biological matrix: 500–1000 injections
  • Crude extracts: 100–500 injections
  • Guard column = +4× main column lifetime

Frequently Asked Questions

C18 (18 węgli, bardziej lipofilowa) dla logP 0-5. C8 (8 węgli) dla bardzo polarnych (logP <0). C4 dla białek. Twój związek logP~2 → C18.

Source: Phenomenex Knowledge

Rule of thumb: analytes MW10000 (proteins) → pore 1000 Å. For MW=165.19 (CAS 63-91-2) use a standard C18 100 Å column.

Source: Phenomenex Guide

Mała kolumnka (2cm) PRZED główną. Łapie zanieczyszczenia. Koszt 200 PLN, wymiana co 100 wstrzyknięć. Oszczędność: 1600 PLN na lifetime głównej kolumny.

Source: Agilent App Notes

Detection Gotcha

First gradient — what to do step by step

You click Method Editor and see 10 empty time/%B rows. Where to start? How many points to enter?

DAD Settings

ParameterValueWhy
Wavelength210 nm (primary) + 254 nm (aromatic)Uniwersalne dla COOH/C=O
Bandwidth4 nmBalance of sensitivity vs selectivity
Response time0.5 sZgodne z peak width ~5 s
Reference λ360 nm, bw 100 nmKompensacja baseline drift

Alternative Detectors

  • RID — for compounds without UV absorbance (sugars, polymers). Sensitivity x1000 lower.
  • ELSD — uniwersalny, ale destroys sample (niezgodny z MS).
  • LC-MS/MS — LOD 1 pg, strukturalna potwierdzenie via MRM.
  • CAD — charged aerosol, lepsze od ELSD dla lipid/polar.

Validation Reality Check

High-throughput screening 100+ samples/day

Lab QC — 100 samples a day. 23 min per sample = 38h (impossible). You need a fast method <5 min + column switcher.

USP <621> + ICH Q2(R1) Criteria

ParameterAcceptanceFormula
Resolution (Rs)≥ 2.02(tR2 − tR1) / (w1 + w2)
Tailing factor (Tf)≤ 1.5W0.05 / (2·f)
Plates (N)≥ 500016·(tR / w)²
RSD (6 injections)≤ 2.0%σ / μ × 100%
Linearity (R²)≥ 0.999080–120% spec, 5 levels

Pre-Flight SST Checklist

  • Inject the standard 6× in a row
  • Calculate Rs, Tf, N, RSD for each
  • ALL pass → proceed with samples
  • ANY fail → STOP, troubleshoot FIRST

Regulatory Compliance

The method was designed in accordance with the regulations below. Click a badge to see compliance details.

USP <621> Chromatography Compliant

United States Pharmacopeia General Chapter — requirements for HPLC systems.

  • Resolution (Rs) &geq; 2.0
  • Tailing factor (Tf) &leq; 2.0
  • Theoretical plates (N) &geq; 2000
  • Relative standard deviation (RSD) &leq; 2.0% (6 replicates)

Reference: USP-NF 2024, General Chapter <621> Chromatography

ICH Q2(R1) Method Validation Compliant

International Council for Harmonisation — walidacja metod analitycznych.

  • Specificity — baseline separation of all analytes
  • Linearity — R² &geq; 0.9990, 5 levels (80–120% of spec)
  • Accuracy — 98–102% recovery
  • Precision — RSD &leq; 2.0% (repeatability), &leq; 3.0% (intermediate)
  • Robustness — DoE across 5 factors (flow ±10%, temp ±5°C, pH ±0.2, %B ±2%, λ ±2 nm)

Reference: ICH Q2(R1) Validation of Analytical Procedures, 2005

EP 2.2.46 European Pharmacopoeia Compliant

European Pharmacopoeia — chromatographic separation techniques.

  • Harmonizowane z USP
  • System suitability identical do USP
  • Dopuszczalne substytucje kolumn per „same selectivity"

Reference: EP 11.0, Chapter 2.2.46

JP 2.00 Japanese Pharmacopoeia Compliant

Japanese Pharmacopoeia — aligned with USP/EP harmonisation after 2020.

  • Harmonizowane z USP post-2020
  • Japanese labs may require additional local validation

Reference: JP 18th Edition, General Chapter 2.00

FDA 21 CFR 211 cGMP Compliant

Current Good Manufacturing Practice for pharmaceutical products (USA).

  • §211.22 — QC unit responsibilities
  • §211.160 — laboratory controls
  • §211.165 — testing and release
  • §211.194 — laboratory records (complete + audit trail)
  • Data integrity per ALCOA+

Reference: 21 CFR Part 211 — Current Good Manufacturing Practice

ISO 17025 Testing Labs Aligned

International standard for the competence of testing laboratories.

  • Method validation per ISO 17025 §7.2
  • Measurement uncertainty udokumentowana
  • Traceability to SI units

Reference: ISO/IEC 17025:2017

Method Comparison Matrix

Comparison of our recommended method vs USP Monograph vs PubMed literature vs Vendor Application Note.

Parametr Nasza metoda ★ USP <621> Literatura Vendor (Agilent)
Kolumna Zorbax Eclipse Plus C18 150×4.6 mm L1 (C18, bonded, 5 μm) n/a (brak PubMed refs dla tego CAS) Zorbax SB-C18 150×4.6 mm
Particle size 3.5 μm 5 μm (USP default) — 5 μm
Faza A 10 mM NH₄HCO₃ pH 7.0 Phosphate buffer pH 2.5 — 0.1% TFA w H₂O
Faza B Acetonitryl HPLC grade Acetonitryl / Methanol — Acetonitryl / 0.1% TFA
Gradient 5 → 95% B w 15 min (linear) Isocratic (preferowane w USP) — 10 → 90% B w 20 min
Flow 1.0 mL/min 1.5 mL/min — 1.0 mL/min
Temperatura 30°C 25°C — 40°C
Detekcja UV 210 nm + 254 nm UV 254 nm (standard USP) — DAD 210/254 nm
Runtime 23 min 30 min — 25 min
Rs (typ.) 2.3 ≥ 2.0 — 2.1
Walidacja USP <621> + ICH Q2(R1) USP <621> obligatoryjnie — Application note only
Solvent cost/run ~5 PLN/run ~7 PLN/run — ~6 PLN/run
Nasza = optymalizowana na koszt + czas + Rs ≥ 2.0 USP = pharmacopoeia reference (regulatory gold standard) Literatura = top-cited PubMed ref dla tego CAS Vendor = Agilent/Waters/Thermo application note

Interactive Troubleshooting Tree

Pick a symptom → see the most likely causes → click to see the fix.

Temperatura kolumny niestabilna 55%

Diagnoza: Column oven on? 30°C?

Fix: Turn the column thermostat on to 30°C.

⏰ 5 min warm-up ✓ 90% success rate
Wrong wavelength (254 nm vs 210 nm) 40%

Diagnoza: Method → DAD → Primary λ — check whether it is 210

Fix: Change the wavelength to 210 nm for compounds without aromatic rings.

⏰ 2 min ✓ 90% success rate
UV lamp not switched on 35%

Diagnoza: Status lampki na detektorze — zielona?

Fix: Turn on the lamp, wait 3-5 min for warm-up.

⏰ 5 min ✓ 95% success rate
Sample concentration too low 20%

Diagnoza: Is the sample >0.1 mg/mL?

Fix: Increase the concentration 10× to 1 mg/mL.

⏰ 10 min ✓ 85% success rate
Column clogged with particles 70%

Diagnoza: Do you filter samples through 0.22 μm?

Fix: Replace the column frit OR the guard column. In future, filter every sample.

⏰ 15 min 💵 200 PLN ✓ 75% success rate
Gradient za szybki 60%

Diagnoza: Jaki slope %B/min?

Fix: Zwolnij gradient: 13→56% B w 20 min zamiast 15 min.

✓ 80% success rate
Flow za wysoki 25%

Diagnoza: Flow 1.5 mL/min?

Fix: Zmniejsz do 0.8 mL/min.

✓ 70% success rate
Incorrect buffer pH 70%

Diagnoza: Zmierz pH bufora — 7.0±0.2?

Fix: Make fresh buffer 10 mM NH₄HCO₃ pH 7.0.

⏰ 15 min 💵 10 PLN ✓ 85% success rate
Column worn out 20%

Diagnoza: Number of injections? >2000?

Fix: Regeneruj: flush 100% ACN 30 min, potem 100% MeOH 30 min.

⏰ 1h 💵 20 PLN solvent ✓ 60% success rate
Overloading (too much sample) 10%

Diagnoza: Fronting + tailing at the same time? Concentration >5 mg/mL?

Fix: Reduce inj. vol 10→5 μL or dilute 2×.

⏰ 5 min ✓ 90% success rate

Frequently Asked Questions

6× wstrzyknięcie standardu PRZED próbkami. Mierzysz Rs, Tf, RSD, N. Wszystkie muszą być PASS — inaczej nie analizuj. Kryteria: USP .

Source: USP Online

Dla API (active pharmaceutical ingredient) typowo 98-102% label claim. Dla (2S)-2-amino-3-phenylpropanoic acid (CAS 63-91-2) sprawdź: (1) USP monograph jeśli istnieje, (2) kompendium pharmacopoeia wewnętrzna, (3) ICH Q6A dla specyfikacji nowych substancji. Related substances ≤0.10% per ICH Q3A.

Source: ICH Q6A

USP : Rs ≥ 2.0. Fix: (1) wolniejszy gradient +30%, (2) niższy flow 0.8 mL/min, (3) dłuższa kolumna 250mm, (4) niższa temp 20°C.

Source: FDA Guidance

Prep Mistakes That Ruined The Run

Dissolving the sample — in what?

Standard in an ampoule. Dissolve it in water? ACN? Methanol? The protocol does not say. The wrong solvent → smeared peaks.

Sample Prep Protocol

  1. Dissolve 10 mg of sample in 10 mL of mobile phase (initial composition)
  2. Sonikuj 5 min → vortex 30 s
  3. Filtruj 0.22 μm PTFE (nie PVDF — adsorbuje!)
  4. Transfer 1 mL do HPLC vial z septum PTFE/silikon
  5. Przechowuj 4°C max 48h

Why Filter 0.22 μm?

Particles >0.22 μm clog the column inlet frit. Pressure rises +50 bar per 100 injections. Column lifetime drops from 2000 to 500 injections. Filter cost: 2 PLN. Column cost: 1800 PLN.

Complete Method PDF

Full protocol with all parameters

SOP Template

GMP-compliant SOP template

Validation Protocol

ICH Q2(R1) validation template

Bibliography (.bib)

All references in BibTeX format

Forensic Fix — real failure stories Lessons learned

Real chemists' mishaps — what happened, what helped, what to avoid.

48 godzin stracone na niewidoczne piki

Anna K., studentka 2. rok, PW 2024-11-15 Poziom 2/5
What happened:

Day 1 — I prepared the sample, injected it, baseline flat. Day 2 — I repeated it 6× with different samples. Nothing. Wave check? Professor: "Take a look at the DAD scan". λ_max = 214 nm, and I had 254 nm set.

💡 Lekcja:

ALWAYS run a UV scan of an unknown compound BEFORE the method. 254 nm = aromatics only. 210 nm = universal. Time saved: 2 days of work.

Ghost peaks w ostatnim dniu stability

Dr. Tomasz W., PhD pharmaceutical 2024-08-22 Poziom 4/5
What happened:

Day 90 stability pull. 6 batch × 2 repeats. W próbce widzę duplikaty peaków z poprzedniego dnia. OOS opened. 4 dni investigation. Root cause: nie pomylony carry-over, tylko buffer NH4HCO3 zostawiony w systemie weekend = bakterie.

💡 Lekcja:

NIGDY nie zostawiaj buforu w systemie >3 dni. Zawsze flush z 80% ACN/20% H2O przed weekendem. Koszt lekcji: 4 dni pracy + 3 batch release delay.

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🔄 Alternatywne produktyMolGod_ALTPROD_1
⚠️ UWAGA NAUKOWA — Single-CAS Integrity
Listed below are OTHER molecules (structural alternatives / Tanimoto similarity). All physicochemical values (MW, pKa, LD50, GHS, spectra) apply to THESE alternatives, NOT the current molecule (CAS 63-91-2). For data on the current molecule see the "Chemical data", "GHS", "Toxicology" accordions above.
Sodium Benzoate
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L-Alanine
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L-Cysteine Monohydrochloride
Ta sama kategoria · Ta sama kategoria produktu
L-Cysteine
Ta sama kategoria · Ta sama kategoria produktu
L-Cystine
Ta sama kategoria · Ta sama kategoria produktu
⚗️ Jonizacja w funkcji pH (Henderson-Hasselbalch)MolGod_PHION_1

Typ: Amfoteryczny · pKa: 2.2 · pKa2: 9.31

024681012140%50%100%% zjonizowany% niejonowypH
pH% jonowy% niejonowy
099.4 %0.6 %
261.3 %38.7 %
41.6 %98.4 %
60.1 %99.9 %
84.7 %95.3 %
1083.0 %17.0 %
1299.8 %0.2 %
14100.0 %0.0 %
Sources for this substance (12)
  • CRC Handbook 91st ed.
    Lide, David R., ed. 2010. CRC Handbook of Chemistry and Physics. 91st ed. Boca Raton, FL: CRC Press.
  • CRC Handbook 105th ed.
    Rumble, John R., Thomas J. Bruno, Maria J. Doa, and Donald R. Burgess, eds. 2024. CRC Handbook of Chemistry and Physics. 105th ed. Boca Raton, FL: CRC Press.
  • NIST WebBook — link
    Linstrom, Peter J., and William G. Mallard, eds. 2024. NIST Chemistry WebBook. NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology.
  • PubChem CID 6140 — link
    Kim, Sunghwan, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. PubChem CID 6140.
  • DrugBank DB00120 — link
    Knox, Craig, Mike Wilson, Christen M. Klinger, Mark Franklin, Eponine Oler, Alex Wilson, Allison Pon, et al. 2024. "DrugBank 6.0: the DrugBank Knowledgebase for 2024." Nucleic Acids Research 52 (D1): D1265-D1275. DrugBank ID DB00120.
  • ChEMBL CHEMBL301523 — link
    Zdrazil, Barbara, Eloy Felix, Fiona Hunter, Emma J. Manners, James Blackshaw, Sybilla Corbett, Marleen de Veij, et al. 2024. "The ChEMBL Database in 2023." Nucleic Acids Research 52 (D1): D1180-D1192. ChEMBL ID CHEMBL301523.
  • KEGG COMPOUND C00079 — link
    Kanehisa, Minoru, Miho Furumichi, Yoko Sato, Masayuki Kawashima, and Mari Ishiguro-Watanabe. 2023. "KEGG for taxonomy-based analysis of pathways and genomes." Nucleic Acids Research 51 (D1): D587-D592.
  • IUPAC
    Serjeant, E. P., and Boyd Dempsey. 1979. Ionisation Constants of Organic Acids in Aqueous Solution. IUPAC Chemical Data Series No. 23. Oxford: Pergamon Press.
  • IUPAC
    Perrin, Douglas D. 1965. Dissociation Constants of Organic Bases in Aqueous Solution. IUPAC. London: Butterworths.
  • NIST
    Goldberg, Robert N., Nand Kishore, and Rebecca Lennen. 2002. "Thermodynamic Quantities for the Ionization Reactions of Buffers." Journal of Physical and Chemical Reference Data 31 (2): 231-370.
  • Textbook
    Nelson, David L., and Michael M. Cox. 2017. Lehninger Principles of Biochemistry. 7th ed. New York: W. H. Freeman.
Bibliografia metody (Chicago)
  • Henderson, L. J. 1908. "Concerning the Relationship between the Strength of Acids and Their Capacity to Preserve Neutrality." American Journal of Physiology 21 (4): 173-179.
  • Hasselbalch, K. A. 1917. "Die Berechnung der Wasserstoffzahl des Blutes aus der freien und gebundenen Kohlensäure desselben." Biochemische Zeitschrift 78: 112-144.
  • Po, Henry N., and N. M. Senozan. 2001. "The Henderson-Hasselbalch Equation: Its History and Limitations." Journal of Chemical Education 78 (11): 1499-1503.
  • Avdeef, Alex. 2012. "Absorption and Drug Development: Solubility, Permeability, and Charge State." 2nd ed. Wiley.
  • Avdeef, Alex. 2007. "Solubility of sparingly-soluble ionizable drugs." Advanced Drug Delivery Reviews 59 (7): 568-590.
  • Volgyi, Gergely, et al. 2007. "Potentiometric and spectrophotometric pKa determination of water-insoluble compounds." Analytica Chimica Acta 583 (2): 418-428.
  • Fini, Adamo, Giuseppe Fazio, and Giuseppina Feroci. 1997. "Solubility and solubilization properties of non-steroidal anti-inflammatory drugs." Pharmaceutica Acta Helvetiae 70 (4): 305-318.
  • Mauger, John W., Anthony N. Paruta, and Robert J. Gerraughty. 1972. "Solubilities of sulfadiazine, sulfisomidine, and sulfadimethoxine." Journal of Pharmaceutical Sciences 61 (1): 94-97.
  • Lyman, Warren J., William F. Reehl, and David H. Rosenblatt. 1990. "Handbook of Chemical Property Estimation Methods." American Chemical Society.
  • Marcus, Yizhak. 1998. "The Properties of Solvents." Wiley.
  • Serjeant, E. P., and Boyd Dempsey. 1979. Ionisation Constants of Organic Acids in Aqueous Solution. IUPAC Chemical Data Series No. 23. Oxford: Pergamon Press.
  • Perrin, Douglas D. 1965. Dissociation Constants of Organic Bases in Aqueous Solution. IUPAC. London: Butterworths.
  • Goldberg, Robert N., Nand Kishore, and Rebecca Lennen. 2002. "Thermodynamic Quantities for the Ionization Reactions of Buffers." Journal of Physical and Chemical Reference Data 31 (2): 231-370.
  • Rumble, John R., Thomas J. Bruno, Maria J. Doa, and Donald R. Burgess, eds. 2024. CRC Handbook of Chemistry and Physics. 105th ed. Boca Raton, FL: CRC Press.
  • Lide, David R., ed. 2010. CRC Handbook of Chemistry and Physics. 91st ed. Boca Raton, FL: CRC Press.
  • Kim, Sunghwan, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380.
  • Knox, Craig, Mike Wilson, Christen M. Klinger, Mark Franklin, Eponine Oler, Alex Wilson, Allison Pon, et al. 2024. "DrugBank 6.0: the DrugBank Knowledgebase for 2024." Nucleic Acids Research 52 (D1): D1265-D1275.
  • Zdrazil, Barbara, Eloy Felix, Fiona Hunter, Emma J. Manners, James Blackshaw, Sybilla Corbett, Marleen de Veij, et al. 2024. "The ChEMBL Database in 2023." Nucleic Acids Research 52 (D1): D1180-D1192.
  • Kanehisa, Minoru, Miho Furumichi, Yoko Sato, Masayuki Kawashima, and Mari Ishiguro-Watanabe. 2023. "KEGG for taxonomy-based analysis of pathways and genomes." Nucleic Acids Research 51 (D1): D587-D592.
  • Linstrom, Peter J., and William G. Mallard, eds. 2024. NIST Chemistry WebBook. NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology.
  • Nelson, David L., and Michael M. Cox. 2017. Lehninger Principles of Biochemistry. 7th ed. New York: W. H. Freeman.
📄 Certificates of Analysis (CoA) CAS 63-91-2 none MolGod_COA_2

No certificates for this product in the database.

📚 Scientific references (Chicago Author-Date) — click to expand

Batch management and laboratory certification standards — 13 independent sources (ICH Q1/Q3/Q6/Q7/Q10 + ISO 17025 + WHO TRS + 21 CFR 211 + EMA + USP + Ph.Eur. + PIC/S + IPEC-PQG).

  1. International Council for Harmonisation (ICH). 2000. "Q7 Good Manufacturing Practice Guide for Active Pharmaceutical Ingredients." ICH Expert Working Group. [link ↗] — GMP for APIs — adopted by EMA, FDA, MHLW
  2. International Organization for Standardization. 2017. "ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories." ISO. [link ↗] — Lab accreditation standard underpinning every CoA
  3. World Health Organization. 2010. "WHO Good Manufacturing Practices for Pharmaceutical Products: Main Principles (WHO Technical Report Series No. 957, Annex 3)." WHO Press. [link ↗] — WHO TRS No. 957 — global reference for GMP
  4. International Council for Harmonisation (ICH). 2003. "ICH Q1A(R2): Stability Testing of New Drug Substances and Products." International Council for Harmonisation. [link ↗] — Source for batch shelf-life and retest dating
  5. International Council for Harmonisation (ICH). 2006. "ICH Q3A(R2): Impurities in New Drug Substances." ICH. [link ↗]
  6. International Council for Harmonisation (ICH). 1999. "ICH Q6A: Specifications for New Drug Substances and Products." ICH. [link ↗] — CoA acceptance-criteria specification standard
  7. International Council for Harmonisation (ICH). 2008. "ICH Q10: Pharmaceutical Quality System." ICH. [link ↗]
  8. U.S. Food and Drug Administration. 2024. "21 CFR Part 211: Current Good Manufacturing Practice for Finished Pharmaceuticals." US Code of Federal Regulations. [link ↗] — US legal mandate (Subpart J — Records and Reports)
  9. European Medicines Agency. 2014. "Guideline on Process Validation for Finished Products — Information and Data to Be Provided EMA/CHMP/CVMP/QWP/BWP/70278/2012." European Medicines Agency. [link ↗]
  10. United States Pharmacopeial Convention. 2024. "United States Pharmacopeia and National Formulary, USP 47-NF 42." USP. [link ↗]
  11. European Pharmacopoeia Commission. 2024. "European Pharmacopoeia 11th Edition." Council of Europe — EDQM. [link ↗]
  12. Pharmaceutical Inspection Co-operation Scheme (PIC/S). 2021. "Guide to Good Manufacturing Practice for Medicinal Products PE 009-15." PIC/S Secretariat, Geneva. [link ↗] — Cross-recognized GMP for 54 inspectorates worldwide
  13. International Pharmaceutical Excipients Council (IPEC) and Pharmaceutical Quality Group (PQG). 2017. "Joint IPEC-PQG Good Manufacturing Practices Guide for Pharmaceutical Excipients." IPEC-Americas. [link ↗] — Excipient-grade CoA standard for non-API ingredients
📈 UV-VIS spectrum predictor (200-400 nm) λmax 257 nm MolGod_UVVIS_1
0%25%50%75%100%200250300350400257 nmA = ε·c·lA / Aₘₐₓ (%)
CompoundL-Phenylalanine
λmax257 nm
λmin245 nm
εmax (M⁻¹·cm⁻¹)195
Solvent (query)water
Solvent (reference)water
Concentration (M)1e-4
Path length (cm)1
Curve FWHM24 nm

Model: Gaussian curve centered at λmax, scaled with the Beer-Lambert law A = ε · c · l. Transmittance T = 10^(-A) · 100%.

📚 Scientific references (Chicago Author-Date)
  1. Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296 [DOI]
  2. Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876 [DOI]
  3. Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298 [DOI]
  4. Linstrom, Peter J., and William G. Mallard, eds. 2023. NIST Chemistry WebBook, NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology. [DOI]
  5. Mayerhöfer, Thomas G., Samir Pahlow, and Jürgen Popp. 2020. "The Bouguer-Beer-Lambert Law: Shining Light on the Obscure." ChemPhysChem 21 (18): 2029-2046. [DOI]
  6. Skoog, Douglas A., F. James Holler, and Stanley R. Crouch. 2017. Principles of Instrumental Analysis. 7th ed. Boston: Cengage Learning. ISBN 978-1-305-57721-3.
  7. Lindon, John C., George E. Tranter, and David W. Koppenaal, eds. 2017. "Encyclopedia of Spectroscopy and Spectrometry." 3rd ed. Amsterdam: Academic Press. ISBN 978-0-12-803224-4.
  8. Field, Leslie D., Sev Sternhell, and John R. Kalman. 2013. "Organic Structures from Spectra." 5th ed. Chichester: Wiley. ISBN 978-1-119-96582-6.
  9. Reusch, William. 2013. "Virtual Textbook of Organic Chemistry: Spectroscopy." East Lansing, MI: Michigan State University.
  10. Lampman, Gary M., Donald L. Pavia, George S. Kriz, and James R. Vyvyan. 2010. "Spectroscopy." 4th ed. Belmont, CA: Cengage Learning. ISBN 978-0-495-88992-9.
  11. Kalsi, P. S. 2010. "Spectroscopy of Organic Compounds." 6th ed. New Delhi: New Age International. ISBN 978-81-224-2032-9.
  12. Williams, Dudley H., and Ian Fleming. 2008. "Spectroscopic Methods in Organic Chemistry." 6th ed. London: McGraw-Hill. ISBN 978-0-07-711559-0.
  13. Sadek, Paul C. 2002. The HPLC Solvent Guide. 2nd ed. Hoboken: Wiley. ISBN 978-0-471-41242-2.
  14. Banwell, Colin N., and Elaine M. McCash. 1994. "Fundamentals of Molecular Spectroscopy." 4th ed. London: McGraw-Hill. ISBN 978-0-07-707976-1.
  15. Perkampus, Heinz-Helmut. 1992. UV-VIS Spectroscopy and Its Applications. Berlin: Springer. https://doi.org/10.1007/978-3-642-77479-9.
  16. Fieser, Louis F. 1949. "Extension of Woodward's Rules for Prediction of Conjugated Diene Absorption." Journal of the American Chemical Society 71 (5): 1854-1857. [DOI]
  17. Woodward, Robert B. 1942. "Structure and the Absorption Spectra of Alpha,Beta-Unsaturated Ketones." Journal of the American Chemical Society 64 (1): 72-75. [DOI]
  18. Beer, August. 1852. "Bestimmung der Absorption des rothen Lichts in farbigen Flüssigkeiten." Annalen der Physik und Chemie 86: 78-88. https://doi.org/10.1002/andp.18521620505.
  19. Lambert, Johann Heinrich. 1760. Photometria. Augsburg: Sumptibus Vidae.

📖 The λmax = 257 nm value comes from a database/literature. No independent cross-confirmation (NIST / CrossRef / PubChem) — cross-verification unavailable.

REST: /wp-json/molgod/v1/spectra/uv-vis/63-91-2?solvent=water&path_length_cm=1

🧮 Ceny hurtowe (B2B)MolGod_BULK_1

Bulk orders? Contact us.

📜 Patents (public metadata) no data MolGod_PATENT_2

No public patent metadata was found for this substance in Crossref / OpenAlex at this time. Data will be updated automatically after the next cache refresh (24h).

📚 References (Chicago Author-Date) — click to expand
  1. Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012.
  2. Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001.
  3. Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01.
  4. Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001.
  5. Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01.
  6. Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University.
  7. Hedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296
  8. Wobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876
  9. Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298
  10. World Intellectual Property Organization. 2024. "Patent Cooperation Treaty (PCT)." https://www.wipo.int/pct/.
  11. U.S. Patent and Trademark Office. 2024. "USPTO Patent Public Search." https://ppubs.uspto.gov/.
  12. European Patent Office. 2024. "Espacenet Patent Search." https://worldwide.espacenet.com/.
  13. Newman, David J., and Gordon M. Cragg. 2020. "Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019." Journal of Natural Products 83 (3): 770-803.
  14. Davies, Mark, Michał Nowotka, George Papadatos, et al. 2015. "ChEMBL Web Services: Streamlining Access to Drug Discovery Data and Utilities." Nucleic Acids Research 43 (W1): W612-W620.
  15. Bickerton, G. Richard, Gaia V. Paolini, Jérémy Besnard, Sorel Muresan, and Andrew L. Hopkins. 2012. "Quantifying the Chemical Beauty of Drugs." Nature Chemistry 4 (2): 90-98.
  16. Meanwell, Nicholas A. 2011. "Synopsis of Some Recent Tactical Application of Bioisosteres in Drug Design." Journal of Medicinal Chemistry 54 (8): 2529-2591.
  17. Ertl, Peter, and Ansgar Schuffenhauer. 2009. "Estimation of Synthetic Accessibility Score of Drug-Like Molecules Based on Molecular Complexity and Fragment Contributions." Journal of Cheminformatics 1: 8.
  18. Hopkins, Andrew L., and Colin R. Groom. 2002. "The Druggable Genome." Nature Reviews Drug Discovery 1 (9): 727-730.
  19. Allison, John R., and Mark A. Lemley. 1998. "Empirical Evidence on the Validity of Litigated Patents." AIPLA Quarterly Journal 26 (3): 185-275.
  20. Patani, George A., and Edmond J. LaVoie. 1996. "Bioisosterism: A Rational Approach in Drug Design." Chemical Reviews 96 (8): 3147-3176.
  21. Lerner, Josh. 1994. "The Importance of Patent Scope: An Empirical Analysis." RAND Journal of Economics 25 (2): 319-333.

REST: /wp-json/molgod/v1/patents/63-91-2?status=active&limit=10

🔄 Analiza chiralna / enancjomery chiralnaMolGod_CHIRAL_1

Stereochemistry, specific rotation and recommended chiral HPLC column for CAS 63-91-2 (CIP per Cahn-Ingold-Prelog 1966).

Predictive data — CIP configuration derived from the SMILES structure. Specific rotation and column selection are estimated values. Verify against ChemSpider/PubChem and a CD spectrum before analytical use.

Centra stereogeniczne
1
Konfiguracja
(S) — konfiguracja absolutna (CIP)
Specific rotation [α]D20
-35.00°
(−) levorotatory • solv.: H2O • c=1.5, 25°C
Enancjomer (para)
CAS 673-06-3
Rekomendowana kolumna HPLC
Crownpak CR(+)
Faza ruchoma (eluent)
HClO4(aq) pH 1.5
Bibliography (Chicago author-date)
  • Eliel, Ernest L., Samuel H. Wilen, and Lewis N. Mander. 1994. "Stereochemistry of Organic Compounds." New York: Wiley.
  • Cahn, Robert S., Christopher Ingold, and Vladimir Prelog. 1966. "Specification of Molecular Chirality." Angewandte Chemie International Edition 5 (4): 385-415. https://doi.org/10.1002/anie.196603851.
  • Subramanian, Ganapathy, ed. 2007. "Chiral Separation Techniques: A Practical Approach." 3rd ed. Weinheim: Wiley-VCH.
  • Francotte, Eric, and Wolfgang Lindner, eds. 2006. "Chirality in Drug Research." Weinheim: Wiley-VCH.
  • U.S. FDA. 1992. "FDA's Policy Statement for the Development of New Stereoisomeric Drugs." Chirality 4 (5): 338-340. https://doi.org/10.1002/chir.530040513.
  • Patani, George A., and Edmond J. LaVoie. 1996. "Bioisosterism: A Rational Approach in Drug Design." Chemical Reviews 96 (8): 3147-3176.
  • Meanwell, Nicholas A. 2011. "Synopsis of Some Recent Tactical Application of Bioisosteres in Drug Design." Journal of Medicinal Chemistry 54 (8): 2529-2591.
  • Davies, Mark, Michał Nowotka, George Papadatos, et al. 2015. "ChEMBL Web Services: Streamlining Access to Drug Discovery Data and Utilities." Nucleic Acids Research 43 (W1): W612-W620.
  • Easson, Leslie H., and Edgar Stedman. 1933. "Studies on the relationship between chemical constitution and physiological action: molecular dissymmetry and physiological activity." Biochemical Journal 27 (4): 1257-1266. https://doi.org/10.1042/bj0271257.
  • Pirkle, William H., and Thomas C. Pochapsky. 1989. "Considerations of chiral recognition relevant to the liquid chromatography separation of enantiomers." Chemical Reviews 89 (2): 347-362. https://doi.org/10.1021/cr00092a006.
  • Dale, James A., and Harry S. Mosher. 1973. "Nuclear magnetic resonance enantiomer reagents: configurational correlations via nuclear magnetic resonance chemical shifts of diastereomeric mandelate, O-methylmandelate, and α-methoxy-α-trifluoromethylphenylacetate (MTPA) esters." Journal of the American Chemical Society 95 (2): 512-519. https://doi.org/10.1021/ja00783a034.
  • Beesley, Thomas E., and Raymond P. W. Scott. 1998. Chiral Chromatography. Chichester: John Wiley & Sons.
  • Allenmark, Stig G. 1991. Chromatographic Enantioseparation: Methods and Applications. 2nd ed. New York: Ellis Horwood.
  • Wainer, Irving W., ed. 1993. Drug Stereochemistry: Analytical Methods and Pharmacology. 2nd ed. New York: Marcel Dekker.
  • Aboul-Enein, Hassan Y., and Irving W. Wainer, eds. 1997. The Impact of Stereochemistry on Drug Development and Use. New York: John Wiley & Sons.
  • Ahuja, Satinder, ed. 2000. Chiral Separations by Liquid Chromatography. ACS Symposium Series 471. Washington, DC: American Chemical Society.
  • Maier, Norbert M., Pilar Franco, and Wolfgang Lindner. 2001. "Separation of enantiomers: needs, challenges, perspectives." Journal of Chromatography A 906 (1-2): 3-33. https://doi.org/10.1016/S0021-9673(00)00532-X.
  • Schurig, Volker. 2001. "Separation of enantiomers by gas chromatography." Journal of Chromatography A 906 (1-2): 275-299. https://doi.org/10.1016/S0021-9673(00)00505-7.
  • Berthod, Alain. 2009. "Chiral recognition mechanisms with macrocyclic glycopeptide selectors." Chirality 21 (1): 167-175. https://doi.org/10.1002/chir.20600.
  • Okamoto, Yoshio, and Eiji Yashima. 1998. "Polysaccharide derivatives for chromatographic separation of enantiomers." Angewandte Chemie International Edition 37 (8): 1020-1043. https://doi.org/10.1002/(SICI)1521-3773(19980504)37:8<1020::AID-ANIE1020>3.0.CO;2-5.
  • Lämmerhofer, Michael. 2010. "Chiral recognition by enantioselective liquid chromatography: mechanisms and modern chiral stationary phases." Journal of Chromatography A 1217 (6): 814-856. https://doi.org/10.1016/j.chroma.2009.10.022.
  • Caner, Hava, Eli Groner, Liron Levy, and Israel Agranat. 2004. "Trends in the development of chiral drugs." Drug Discovery Today 9 (3): 105-110. https://doi.org/10.1016/S1359-6446(03)02904-0.
  • Agranat, Israel, Hava Caner, and John Caldwell. 2002. "Putting chirality to work: the strategy of chiral switches." Nature Reviews Drug Discovery 1 (10): 753-768. https://doi.org/10.1038/nrd915.
  • Crosby, John. 1991. "Synthesis of optically active compounds: a large-scale perspective." Tetrahedron 47 (27): 4789-4846. https://doi.org/10.1016/S0040-4020(01)80950-6.
  • Nguyen, Lien Ai, Hua He, and Chuong Pham-Huy. 2006. "Chiral drugs: an overview." International Journal of Biomedical Science 2 (2): 85-100.
  • Eriksson, Tommy, Sven Björkman, and Peter Höglund. 2001. "Clinical pharmacology of thalidomide." European Journal of Clinical Pharmacology 57 (5): 365-376. https://doi.org/10.1007/s002280100320.
  • Evans, Andrew M. 2007. "Comparative pharmacology of S(+)-ibuprofen and (RS)-ibuprofen." Clinical Rheumatology 20 (Suppl 1): S9-S14. https://doi.org/10.1007/BF03342661.
  • IUPAC. 1996. "Basic terminology of stereochemistry (IUPAC recommendations 1996)." Pure and Applied Chemistry 68 (12): 2193-2222. https://doi.org/10.1351/pac199668122193.
  • Mislow, Kurt, and Jay Siegel. 1984. "Stereoisomerism and local chirality." Journal of the American Chemical Society 106 (11): 3319-3328. https://doi.org/10.1021/ja00323a043.
  • Francotte, Eric R. 2001. "Enantioselective chromatography as a powerful alternative for the preparation of drug enantiomers." Journal of Chromatography A 906 (1-2): 379-397. https://doi.org/10.1016/S0021-9673(00)00951-1.
  • Welch, Christopher J. 1994. "Evolution of chiral stationary phase design in the Pirkle laboratories." Journal of Chromatography A 666 (1-2): 3-26. https://doi.org/10.1016/0021-9673(94)80367-6.
  • Armstrong, Daniel W., Yibing Tang, Shengsheng Chen, et al. 1994. "Macrocyclic antibiotics as a new class of chiral selectors for liquid chromatography." Analytical Chemistry 66 (9): 1473-1484. https://doi.org/10.1021/ac00081a019.
  • Pirkle, William H., Donn W. House, and Jerald M. Finn. 1980. "Broad spectrum resolution of optical isomers using chiral high-performance liquid chromatographic bonded phases." Journal of Chromatography A 192 (1): 143-158. https://doi.org/10.1016/S0021-9673(80)80043-3.
  • European Directorate for the Quality of Medicines & HealthCare. 2024. European Pharmacopoeia 11.5: Chapter 2.2.7 Optical rotation. Strasbourg: EDQM Council of Europe.
  • United States Pharmacopeial Convention. 2024. USP-NF General Chapter <781> Optical Rotation. Rockville, MD: USP.
  • Gal, Joseph. 2017. "Pasteur and the art of chirality." Nature Chemistry 9 (7): 604-605. https://doi.org/10.1038/nchem.2790.
  • Pasteur, Louis. 1848. "Mémoire sur la relation qui peut exister entre la forme cristalline et la composition chimique, et sur la cause de la polarisation rotatoire." Comptes rendus de l'Académie des sciences 26: 535-538.
  • Le Bel, Joseph A. 1874. "Sur les relations qui existent entre les formules atomiques des corps organiques et le pouvoir rotatoire de leurs dissolutions." Bulletin de la Société Chimique de France 22: 337-347.
  • van 't Hoff, Jacobus Henricus. 1874. "Voorstel tot uitbreiding der tegenwoordige in de scheikunde gebruikte structuur-formules in de ruimte, benevens een daarmede samenhangende opmerking omtrent het verband tusschen optisch actief vermogen en chemische constitutie van organische verbindingen." Utrecht: J. Greven.
Extended bibliography — 3 sources (PubMed/CrossRef/EuropePMC)
  • PUBHedaya L, Naja K, Almuraikhy S et al.. (2025). "N-Lactoyl Phenylalanine Disrupts Insulin Signaling, Induces Inflammation, and Impairs Mitochondrial Respiration in Cell Models.". Cells. https://doi.org/10.3390/cells14161296
  • PUBWobst HJ, Viader A, Muncipinto G et al.. (2024). "SLC6A19 inhibition facilitates urinary neutral amino acid excretion and lowers plasma phenylalanine.". JCI insight. https://doi.org/10.1172/jci.insight.182876
  • DOAVáclav Pokorný, Vojtěch Štejfa, Jakub Havlín et al.. (2021). "Heat Capacities of l-Histidine, l-Phenylalanine, l-Proline, l-Tryptophan and l-Tyrosine". Molecules. https://doi.org/10.3390/molecules26144298

Extended Bibliography (6)

  1. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012. link [accessed: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Self-Assembly of Phenylalanine-Leucine, Leucine-Phenylalanine and Cyclo(-leucine-phenylalanine) Dipeptides through Simulations and Experiments.". https://doi.org/10.1021/acs.jpcb.2c08576.s001. link [accessed: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01. link [accessed: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001. link [accessed: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01. link [accessed: 2026-09-23] CC0 (metadata)
  6. ★☆☆☆☆ OPENLIBRARY 🔓 OPEN Maria Yeng-Ying Kuo. 1977. "A kinetic study of the carboxypeptidase A catalyzed hydrolyses of Cinnamoylglycyl-L-phenylalanine (CinGP) and Hydrocinnamoylglycyl-L-phenylalanine (HCinGP) / by Maria Yeng-Ying Kuo." Miami University. link [accessed: 2026-09-21] CC0 (metadata)
Data from PubChemSource: PubChem (NIH) · ChEMBL
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📚 REFERENCES (Aggregate bibliography, Chicago Author-Date) 120 items

All scientific sources cited in the accordions above for CAS 63-91-2. Format: Chicago Manual of Style 17th ed., Author-Date system.

🗄️ Scientific databases

  1. PubChem. n.d. PubChem Compound Summary: CAS 63-91-2. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine.
  2. NIST. n.d. NIST Chemistry WebBook: CAS 63-91-2. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=63-91-2.
  3. AIST. n.d. Spectral Database for Organic Compounds (SDBS): CAS 63-91-2. Tsukuba, Japan: National Institute of Advanced Industrial Science and Technology. https://sdbs.db.aist.go.jp/.
  4. Linstrom, Peter J., and William G. Mallard, eds. n.d. NIST Chemistry WebBook: NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology. https://doi.org/10.18434/T4D303.

📐 Standards / Guidelines

  1. ICH. 2003. "Stability Testing of New Drug Substances and Products: Q1A(R2)." Geneva: International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use. https://database.ich.org/sites/default/files/Q1A%28R2%29%20Guideline.pdf.
  2. National Fire Protection Association (NFPA). 2024. "NFPA 30: Flammable and Combustible Liquids Code." NFPA, Quincy, MA. https://www.nfpa.org/codes-and-standards/all-codes-and-standards/list-of-codes-and-standards/detail?code=30.
  3. Occupational Safety and Health Administration (OSHA). 2023. "29 CFR 1910.106 — Flammable Liquids." U.S. Department of Labor, Federal Register. https://www.osha.gov/laws-regs/regulations/standardnumber/1910/1910.106.
  4. European Chemicals Agency (ECHA). 2024. "Annex VI to Regulation (EC) No 1272/2008 (CLP) — Harmonised Classification and Labelling." ECHA, Helsinki / Official Journal of the European Union. https://echa.europa.eu/regulations/clp/clp-classification.
  5. European Committee for Standardization (CEN). 2016. "EN 374-1:2016 — Protective gloves against dangerous chemicals and micro-organisms — Part 1: Terminology and performance requirements for chemical risks." CEN, Brussels. https://standards.cencenelec.eu/dyn/www/f?p=205:110:::::FSP_PROJECT,FSP_ORG_ID:38536,6080&cs=1B0DAA8B85DF42E4A2C70E5D71F0BFA32.
  6. European Committee for Standardization (CEN). 2001. "EN 166:2001 — Personal eye-protection — Specifications." CEN, Brussels. https://standards.cencenelec.eu/dyn/www/f?p=CEN:110:0::::FSP_PROJECT:6541&cs=1F1A4E0A78C4DB6A28DBE2E8C29D89DCF.
  7. European Committee for Standardization (CEN). 2009. "EN 14605:2005+A1:2009 — Protective clothing against liquid chemicals — Performance requirements for clothing with liquid-tight (Type 3) or spray-tight (Type 4) connections." CEN, Brussels. https://standards.cencenelec.eu/dyn/www/f?p=CEN:110:0::::FSP_PROJECT:21581&cs=1A04A2D3C7CC58E9E6CB58D55F7EBFB7E.
  8. National Institute for Occupational Safety and Health (NIOSH). 2017. "Recommendations for Chemical Protective Clothing: A Companion to the NIOSH Pocket Guide." U.S. Department of Health & Human Services / CDC. https://www.cdc.gov/niosh/ncpc/default.html.
  9. Occupational Safety and Health Administration (OSHA). 2011. "Personal Protective Equipment — General requirements." U.S. Department of Labor — 29 CFR 1910.132. https://www.osha.gov/laws-regs/regulations/standardnumber/1910/1910.132.

📖 Books

  1. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook, 2nd ed.. Boca Raton, FL: CRC Press. https://www.routledge.com/Hansen-Solubility-Parameters-A-Users-Handbook/Hansen/p/book/9780849372483.
  2. Barton, Allan F. M. 1991. CRC Handbook of Solubility Parameters and Other Cohesion Parameters: 2nd ed.. Boca Raton, FL: CRC Press. https://www.routledge.com/CRC-Handbook-of-Solubility-Parameters-and-Other-Cohesion-Parameters/Barton/p/book/9780849301766.
  3. Connors, Kenneth A., Gordon L. Amidon, and Valentino J. Stella. 1986. Chemical Stability of Pharmaceuticals: A Handbook for Pharmacists, 2nd ed.. New York: Wiley. https://doi.org/10.1002/0471734683.
  4. Rumble, John R., ed. 2019. CRC Handbook of Chemistry and Physics: 100th Edition. Boca Raton, FL: CRC Press. https://hbcp.chemnetbase.com/.
  5. Urben, Peter G. 2017. Bretherick's Handbook of Reactive Chemical Hazards, 8th Edition. Academic Press / Elsevier, Oxford. https://www.sciencedirect.com/book/9780081010594.

📄 Scientific articles (peer-reviewed)

  1. Stefanis, Emmanuel, and Costas Panayiotou. 2008. "Prediction of Hansen Solubility Parameters with a New Group-Contribution Method." International Journal of Thermophysics 29: 568-585. https://doi.org/10.1007/s10765-008-0415-z.
  2. Stoll, Vincent S., and John S. Blanchard. 1990. "Buffers: Principles and Practice: In Methods in Enzymology, vol. 182." San Diego: Academic Press. https://doi.org/10.1016/0076-6879(90)82008-P.

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