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L-Phenylalanine, CAS 63-91-2 — chemical product label

L-Phenylalanine

PHE

CAS 63-91-2 EC 200-568-1 C9H11NO2 Powder
MolGod_SDSCARD_1
REACH 2020/878
v2 · 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-Modell L-Phenylalanine, CAS 63-91-2, Summenformel C9H11NO2, molare Masse 165.19 g/mol

Daten transkribiert aus regulatorischen Registern und Fachliteratur, unter Angabe von Quelle und Ausgabe. Sie ersetzen nicht das Sicherheitsdatenblatt des Lieferanten. Felder ohne hinterlegte Quelle sind als solche gekennzeichnet.

📊 Physikochemische Daten — CAS 63-91-2MolGod_PROPHUB_MAIN
📊 Physikochemische Eigenschaften

Kurzübersicht

Formel: C9H11NO2
MW: 165.19 g/mol
CAS: 63-91-2
🔬 Erweiterte Eigenschaften

Chemische Kennungen

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

Zuletzt aktualisiert: 2026-09-21

Chemische Übersicht: L-PhenylalanineMolGod_OVERVIEW_1
SummenformelC9H11NO2[1]
Molekulargewicht165.19 g/mol[1]
Schmelzpunkt283 °C[1]
LogP (Lipophilie)-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]

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

Datenquellen: PubChem (NLM/NIH)
Zuletzt aktualisiert: 2026-09-21

📚 Wissenschaftliche Referenzen (Chicago Author-Date) (1 Quellen)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: Summenformel · Molekulargewicht · Schmelzpunkt · LogP (Lipophilie) · IUPAC-Name · SMILES · InChIKey

WISSENSCHAFTLICHE FORSCHUNG

[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
Zur vollständigen Studie ↗
[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
Zur vollständigen Studie ↗
[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
Zur vollständigen Studie ↗
📚 Wissenschaftliche Referenzen (Chicago Author-Date) 3 refs · 2 baz

MOLECULE Bibliografie pro CAS (live aus 13+ Datenbanken)

Quellen: 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 →
Regulatorischer Status der Substanz
Keine Einträge für diese CAS-Nummer in den geprüften Beschränkungslisten (SVHC-Kandidatenliste, REACH Anhang XVII; Datensätze unvollständig – dies ist keine Konformitätsbestätigung). CLP-Einstufung und Transportstatus (ADR): siehe Abschnitt GHS und Sicherheitsdatenblatt (SDS).
🧮 Stöchiometrie-RechnerMolGod_STOICH_1
🧪 Chemische DatenMolGod_CHEMDATA_1
CAS-Nummer
63-91-2
Summenformel
C9H11NO2
Molmasse
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
📚 Literatura naukowa (1 Artikel)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.

🔍 Externe IdentifikatorenMolGod_EXTID_1
15 von 16 ID-Systemen94%
DatenbankIdentifikatorAktionen
CAS Registry Number63-91-2Öffnen →
PubChem CID6140[1]Öffnen →
InChIKeyCOLNVLDHVKWLRT-QMMMGPOBSA-N[1]Öffnen →
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]Öffnen →
ChEMBLCHEMBL301523[3]Öffnen →
DrugBankDB00120Öffnen →
KEGG CompoundC00079Öffnen →
HMDBHMDB0000159Öffnen →
ChemSpider5910[4]Öffnen →
MeSH UID (NLM)D010649Öffnen →
UNII (FDA)47E5O17Y3RÖffnen →
NSC Number (NCI)79477Öffnen →
WikiData QIDQ170545Öffnen →

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

📚 Wissenschaftliche Referenzen (Chicago Author-Date) (4 Quellen)
  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.

Bibliografie (erweitert) (6)

  1. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012. Link [abgerufen: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert 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 [abgerufen: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01. Link [abgerufen: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001. Link [abgerufen: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01. Link [abgerufen: 2026-09-23] CC0 (metadata)
  6. ★☆☆☆☆ OPENLIBRARY 🔓 OFFEN 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 [abgerufen: 2026-09-21] CC0 (metadata)
📡 Spektroskopie — CAS 63-91-2MolGod_SPECHUB_MAIN
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❓ Häufig gestellte Fragen (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).
Hilfreich?
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.
Hilfreich?
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.
Hilfreich?
➕ Frage vorschlagen
Strukturdateien herunterladenMolGod_STRDL_1

Molekülstrukturdateien aus der PubChem-Datenbank (NIH). Kompatibel mit Avogadro, PyMOL, Jmol und ChemDraw.

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

🔄 Umrechner für Konzentrationseinheiten LIVE MolGod_UNITCONV_1

Geben Sie die Konzentration L-Phenylalanine in einer beliebigen Einheit ein — der Rest wird automatisch berechnet.

MW: 165.19 g/mol · IUPAC Gold Book ↗

⚗️ Umrechnungsformeln + Zitate (pro Formel)
UmrechnungFormelGenauigkeitQuelle
% (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)
📚 Bibliographie (8 autoritative Quellen)
  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
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🛡️ Sicherheit — CAS 63-91-2MolGod_SAFEHUB_MAIN
Hinweis zu Datenbeschränkungen. Die Sicherheitsinformationen auf dieser Seite dienen nur zur Information und ersetzen kein vollständiges Sicherheitsdatenblatt (SDS). Konsultieren Sie vor der Verwendung des Produkts das aktuelle Sicherheitsdatenblatt des Herstellers sowie die GHS/CLP-Leitlinien. Die CLP-Einstufung bezieht sich auf die reine Bulk-Substanz, nicht auf handelsübliche Zubereitungen.

Keine harmonisierte GHS-Einstufung für diese Substanz — siehe aktuelles Sicherheitsdatenblatt (SDS) des Lieferanten.

📚 Konsolidierte wissenschaftliche Referenzen — Chicago Author-Date 10 Quellen

Referenzen aus allen Safety-Hub-Registerkarten gesammelt. 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, Vorschriften
  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

Registerkarten mit eigenen Referenzen (Emergency, PPE, Storage, Waste) enthalten zusätzliche bibliografische Einträge in ihren jeweiligen Abschnitten.

📈 Analytische Statistik (t-Test · RSD · Grubbs · Q-Dixon) ICH Q2

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📐 Statistische Formeln
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  • s² = Σ(xᵢ - x̄)² / (n-1) — Stichprobenvarianz
  • s = √s² — Standardabweichung
  • RSD% = (s / x̄) × 100% — relative Standardabweichung
  • 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

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

🧪 Puffer-Rezept-Rechner EINZIGARTIG
Literatur: pKa-Werte aus Goldberg NIST 81 · CRC Handbook 100th ed. · Stoll & Blanchard 1990 (DOI)

Wählen Sie einen Puffer aus der Liste von 20 gängigen Systemen → geben Sie den Ziel-pH-Wert ein → Sie erhalten ein exaktes Rezept mit den einzuwiegenden Massen.

Schritt 1: Puffersystem wählen

📜 Rezeptverlauf (letzte 10)
Pharmakologischer Status

Badania kliniczne Faza 3

Phase I
Phase II
Phase III
Zugelassen

Phase III — multizentrische Vergleichsstudien an einer großen Population.

ChEMBL CHEMBL301523 ↗

Bibliografie (erweitert) (6)

  1. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012. Link [abgerufen: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert 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 [abgerufen: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01. Link [abgerufen: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001. Link [abgerufen: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01. Link [abgerufen: 2026-09-23] CC0 (metadata)
  6. ★☆☆☆☆ OPENLIBRARY 🔓 OFFEN 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 [abgerufen: 2026-09-21] CC0 (metadata)
📅 Project Planner — Manager für Laborexperimente NEU

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🧪 Löslichkeit und Lösungsmittelkompatibilität MolGod_SOLUB_1
Molekül
L-Phenylalanine
Formel
C9H11NO2
logP (XLogP3)
-1.50
Masse (g/mol)
165.19
Polarität
Hydrophil (polar)

⚠️ GC-Schätzung (Hoftyzer–Van Krevelen). Keine HSP-Literaturdaten für diese CAS — Genauigkeit ±2 MPa½. Experimentell verifizieren.

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..

Lösungsmittel Compat. Ra Visuell GC-MS HPLC Anwendungen Referenzen
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)
📚 Wissenschaftliche Referenzen für Lösungsmittel (Chicago Author-Date) — zum Aufklappen klicken

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
Löslichkeitstheorie (angewendet in der Verträglichkeitsvorhersage):
  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-Triplett (dD, dP, dH) + Ra-Formel.
  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 — Vollständige tabellarische Sammlung von 250+ Lösungsmitteln (ε, μ, Donizität, Akzeptorzahlen).
  8. PubChem Compound Database — CAS 63-91-2 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Vollständige Bibliografie im Akkordeon REFERENZEN (am Ende der Seite) — Chicago Manual of Style 17th ed., Author-Date.

⚗️ Reaktionskompatibilität prüfen MolGod_RXNCOMP_1

Prüfen Sie, ob L-Phenylalanine mit einem anderen Reagenz verträglich ist

📦 Lagerverträglichkeitsmatrix
Acids Regeln Oxidationsmittel Entzündbar Giftig Gazy
Acids ✓ ✗ ✗ ✗ ⚠ ✗
Regeln ✗ ✓ ⚠ ⚠ ⚠ ⚠
Oxidationsmittel ✗ ⚠ ✓ ✗ ⚠ ✗
Entzündbar ✗ ⚠ ✗ ✓ ⚠ ✗
Giftig ⚠ ⚠ ⚠ ⚠ ✓ ⚠
Gazy ✗ ⚠ ✗ ✗ ⚠ ✓
✓ Gemeinsame Lagerung möglich · ⚠ Vorsicht · ✗ NICHT zusammen lagern · OSHA Chemical Segregation ↗

Verträglichkeitsdaten aus: Bretherick's Handbook (7th ed.) ↗, GESTIS ↗, ECHA REACH ↗, NFPA 704 ↗

🧮 Laborrechner (8) MolGod_LABCALC_1
Verdünnung (C₁V₁=C₂V₂)
Molarität (M=n/V)
pH-Puffer (Henderson-Hasselbalch)
Beer-Lambert (A=εcl)
Masse → Mol
Konzentration % → M
ppm → mg/L
Temperatur C↔F↔K

Verifizierte Formeln: IUPAC Gold Book ↗, DOI ↗

📊 Spektroskopische Spektrendatenbanken MolGod_SPECDB_3
📋 Laborprotokoll-Generator MolGod_PROTOCOL_1

Protokoll erstellt auf Grundlage von: GHS SDS, Aldrich Lab Guide ↗

🏷️ Etiketten-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• Formel: C9H11NO2• Masse: 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-Radardiagramm (Lipinski Ro5 / Veber). Grüne Zone = Übereinstimmung mit den Kriterien.

Vorhersagedaten — in silico berechnete Eigenschaften (SMILES/RDKit). Sie ersetzen keine klinischen Studien. Nicht zur Arzneimittelbewertung ohne experimentelle Verifizierung verwenden.

MW165.2LogP-1.5HBD2HBA3RotB3TPSA63.3 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (LogP=-1.5)✗ REOS (MW=165)✓ Lead-like Ro3
EigenschaftWertBewertung
Resorption (GI)hoch✓
BHS-Permeabilitätnein
Bioverfügbarkeit (Daina 2017)
55%
CYP450-ProfilCYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
PAINS-Warnungen0✓
Brenk-Warnungen0✓
pKa (pH 7.4)2.2 (curated)
hERG (Kardiotox.)✓ nein
P-gp-Substrat—
Ames-Mutagenität✓ nein
DILI (Hepatotox.)—
LogS (Wasserlösl.)—
Quellen (ADMET-Methodik)
  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. ↗
🧪 Assistent zur Lösungsherstellung (Smart Prep) MolGod_PREP_2

Geben Sie ein, was Sie zubereiten möchten — ich erstelle eine SOP

Beispiele unten — zum Einfügen anklicken:
Fertige Rezepte:
📚 Überblick über die wissenschaftliche Literatur — CAS 63-91-2MolGod_LITHUB_MAIN
⭐ Wichtigste Erkenntnisse (wissenschaftliche Literatur) 1 Publikationen
🏆 CAS 63-91-2 — multi-criteria ranking (W12): 30% Zitierungen · 20% Aktualität · 20% Thema · 15% historisch · 15% Open Access.
  1. #1
    Václav Pokorný, Vojtěch Štejfa, Jakub Havlín et al. (2021) · Molecules
    Warum es wichtig ist: Open access
    SCORE 5.55 Mechanismus Open Access DOI ↗
🔬 HPLC — Methoden und Parameter — CAS 63-91-2MolGod_HPLCHUB_MAIN
📈 HPLC-Gradient — Optimierer (LSS) VORLAGE

Gradient basierend auf PubChem XLogP3 + LSS (Snyder et al. 2010, Kap. 9).

  • Säule: C18
  • Puffer: phosphate
  • Fluss: 1 mL/min
  • logP: -1.5 (PubChem XLogP3)
  • Rampe: 5% → 95% B, 10 min
  • Gesamtanalysenzeit: 23 min
t (min) %A %B flow (mL/min) Kommentar
0 95 5 1 Start (Gleichgewicht)
2 95 5 1 Ende der Anfangshaltezeit
12 5 95 1 Ende der LSS-Rampe
17 5 95 1 Säulenspülung
18 95 5 1 Rückkehr zu init
23 95 5 1 Reäquilibrierung
📚 Wissenschaftliche Referenzen (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

📐 Säulenabmessungen — van-Deemter-Rechner N=12,466

Formel: 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).

Abmessungen150 × 4.6 mm, 5 µm
Theoretische Böden (N)12,466
N bei u_opt12,500
HETP (aktuell)12.032 µm
Min. HETP12 µm
Lineare Geschwindigkeit (u)0.1003 cm/s
u_opt (van Deemter)0.12 cm/s
Gegendruck (ΔP)42.1 bar
Analysenzeit (Totvolumen)2.49 min
📚 Wissenschaftliche Referenzen (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 — Kompatibilitätsmatrix MISCHBAR
Komponente Name UV-Cutoff (nm) P' Detektoren
Lösm. Acetonitrile (MeCN) 190 5.8 UV, MS, ELSD, RID, FLD
Lösm. Water 190 10.2 UV, MS, ELSD, RID, FLD
Puffer Phosphate (KH2PO4 / K2HPO4) 195 pH 2.0-3.0 / 6.5-8.0 / 11.0-12.5 MS ✗

Detector: UV — mit beiden Lösungsmitteln kompatibel.

📚 Wissenschaftliche Referenzen (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=...

🌈 Detektor + Wellenlänge (UV/Vis) 257 nm
VerbindungL-Phenylalanine
λmax257 nm
λmin245 nm
εmax (M⁻¹·cm⁻¹)195
Lösungsmittel (Referenz)water
Empfohlene λ257 nm
Empfohlener DetektorPDA/DAD
AlternativenUV, MS

Datenquelle: Skoog 2017

📚 Wissenschaftliche Referenzen (Chicago Author-Date) 13 refs · 2 baz

METODA Methoden-Bibliografie

  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 Bibliografie pro CAS (live aus 13+ Datenbanken)

Quellen: 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

Vollständiger HPLC-Methodenleitfaden Fachlich begutachtet

Molekülspezifische Szenarien, Fehlerbehebung und Literaturhinweise

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.

Echtes Chemiker-Problem

Pressure too high — what next?

Pressure rises to 400 bar (max 300 for this column). The system is blaring an alarm. Do you shut the pump down? Yes/no?

So lösen wir das

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

Interaktiver Rechner

Deep Education

Die Chemie der mobilen Phase verstehen

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: —

Häufig gestellte Fragen

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

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

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

Incorrect integration — publication rejected

Submission to JPBA. Reviewer 2: „Peak at 12.4 min shows manual integration, but baseline slope suggests co-elution". I had to revalidate the whole method. 3 months of delay.
Lesson learned (Kasia M., PhD Analytical Chemistry, UJ, 2025-06-03):
Manual integration = a red flag for reviewers. Solve CO-ELUTION in methods dev, not in integration. Optimise the gradient instead of force-fitting the peak.

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.

Häufig gestellte Fragen

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

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

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

Source: Snyder Seminar

Column Choice Dilemma

How to prepare the mobile phase for the first time

Protokół mówi "ACN/H₂O 60:40". W szafce masz ACN HPLC grade i wodę z kranu. Nikt ci nie powiedział, że kran = dramat. Koszt błędu: zniszczona kolumna 1800 PLN.

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

Häufig gestellte Fragen

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

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

Detection Gotcha

Why am I not seeing any peaks?

You injected the sample, you wait 23 min and... a flat line. Anxiety is rising.
Lesson learned (Student MSc, UW, 2024-10):
Wavelength 254 nm does not work for most carboxylic acids — use 210 nm.

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

DAD drift podczas 16h sequence

Baseline drift 15 mAU/h. 150 injections in the sequence, with a 7% bias for the peaks towards the end. How to eliminate it?

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

Häufig gestellte Fragen

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

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

Prep Mistakes That Ruined The Run

How to prepare the mobile phase for the first time

Protokół mówi "ACN/H₂O 60:40". W szafce masz ACN HPLC grade i wodę z kranu. Nikt ci nie powiedział, że kran = dramat. Koszt błędu: zniszczona kolumna 1800 PLN.

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

Forensische Analyse — echte Fehlschlag-Geschichten Gelernte Lektionen

Echte Pannen von Chemikern — was passiert ist, was geholfen hat und was zu vermeiden ist.

Peak tailing ruined my results

Anna K., PhD student, Warszawa 2024-03 Poziom 3/5
Was ist passiert:

I ran the method exactly as written. Main peak Tf = 2.8 (should be <1.5). Integration impossible. I repeated it 6× — always tailing.

💡 Lekcja:

Causes: (1) buffer pH 8.2 instead of 7.0, (2) 2-month-old buffer (bacteria!), (3) C8 column instead of C18. Fix: fresh buffer pH 7.0 + switch to C18 → Tf 1.2, Rs 1.9→2.3.

Ghost peaks w ostatnim dniu stability

Dr. Tomasz W., PhD pharmaceutical 2024-08-22 Poziom 4/5
Was ist passiert:

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.

Ask about this method

Hallo — ich bin auf alle Szenarien, FAQ und Literatur zu dieser Methode trainiert. Fragen Sie mich alles.

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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
Ta sama kategoria · Ta sama kategoria produktu
L-Alanine
Ta sama kategoria · Ta sama kategoria produktu
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.
📄 Analysenzertifikate (CoA) CAS 63-91-2 keine MolGod_COA_2

Keine Zertifikate für dieses Produkt in der Datenbank.

📚 Wissenschaftliche Referenzen (Chicago Author-Date) — zum Aufklappen klicken

Standards für Chargenmanagement und Laborzertifizierung — 13 unabhängige Quellen (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-Spektrenvorhersage (200-400 nm) λmax 257 nm MolGod_UVVIS_1
0%25%50%75%100%200250300350400257 nmA = ε·c·lA / Aₘₐₓ (%)
VerbindungL-Phenylalanine
λmax257 nm
λmin245 nm
εmax (M⁻¹·cm⁻¹)195
Lösungsmittel (Abfrage)water
Lösungsmittel (Referenz)water
Konzentration (M)1e-4
Schichtdicke (cm)1
FWHM der Kurve24 nm

Modell: Gauß-Kurve zentriert auf λmax mit Skalierung nach dem Beer-Lambert-Gesetz A = ε · c · l. Transmission T = 10^(-A) · 100%.

📚 Wissenschaftliche Referenzen (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.

📜 Patente (öffentliche Metadaten) keine Daten MolGod_PATENT_2

Derzeit wurden keine öffentlichen Patent-Metadaten für diese Substanz in Crossref / OpenAlex gefunden. Die Daten werden nach der nächsten Cache-Aktualisierung automatisch ergänzt (24h).

📚 Referenzen (Chicago Author-Date) — zum Aufklappen klicken
  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).

Vorhersagedaten — CIP-Konfiguration aus der SMILES-Struktur abgeleitet. Spezifische Drehung und Säulenauswahl sind Schätzwerte. Vor der analytischen Anwendung mit ChemSpider/PubChem und einem CD-Spektrum verifizieren.

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
Bibliografie (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.
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  • 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.
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  • 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.
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Erweiterte Bibliografie — 3 Quellen (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
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  • 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

Bibliografie (erweitert) (6)

  1. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Tanchai, Nipawan. "Improvement of the phenylalanine dehydrogenase immobilization method for the production of phenylalanine.". https://doi.org/10.58837/chula.the.2007.1012. Link [abgerufen: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert 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 [abgerufen: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_04_01. Link [abgerufen: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Anonymous. "Phenylalanine Binding Is Linked to Dimerization of the Regulatory Domain of Phenylalanine Hydroxylase.". https://doi.org/10.1021/bi501109s.s001. Link [abgerufen: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OFFEN ❓ nicht verifiziert Anonymous. "Phenylalanine.". https://doi.org/10.31003/uspnf_m64020_05_01. Link [abgerufen: 2026-09-23] CC0 (metadata)
  6. ★☆☆☆☆ OPENLIBRARY 🔓 OFFEN 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 [abgerufen: 2026-09-21] CC0 (metadata)
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📚 REFERENZEN (Gesammelte Bibliografie, Chicago Author-Date) 120 Einträge

Alle wissenschaftlichen Quellen, die in den Akkordeons oben für CAS 63-91-2 zitiert werden.Format: Chicago Manual of Style, 17. Aufl., Autor-Datum-System.

🗄️ Wissenschaftliche Datenbanken

  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 / Richtlinien

  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.

📖 Bücher

  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.

📄 Wissenschaftliche Artikel (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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