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Eapearl Chemical
Propionic Acid, CAS 79-09-4 — chemical product label

Propionic Acid

PA

CAS 79-09-4 EC 201-176-3 C3H6O2 Other SDS published CLP Danger

⚠️ Note: This safety data sheet is provided in English; a localized version is being prepared.

MolGod_SDSCARD_1
REACH 2020/878
v2 · 08.09.2026

Specification

Product NamePropionic Acid
Other NamesPA
CAS No.79-09-4
EINECS No.201-176-3
MFC3H6O2
Molecular weight74.08
Purity99%
AppearanceA colorless and clear oily liquid
Density0.993g/mLat25°C (lit.)
Melting point−24-−23°C (lit.)
Boiling point141°C (lit.)
Flashing point125°F

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

Hazard classification

GHS pictogram GHS05 — Corrosive

Danger

Harmonised classification (EU) — ECHA Annex VI (harmonised, ATP 23; 2026-07-07)

  • H314 Causes severe skin burns and eye damage
Full safety data sheet CLP label (EN)

European Chemicals Agency. "propionic acid... %, Index No. 607-089-00-0." In Table 3 of Annex VI to Regulation (EC) No 1272/2008 (CLP Regulation), 23rd Adaptation to Technical Progress (harmonised list as of 2026-07-07). Helsinki: European Chemicals Agency, 2026. https://echa.europa.eu/information-on-chemicals/annex-vi-to-clp.

Substance identity verified against the registry entry on 2026-09-02.

Packaging and shipping

Drum190 kg
IBC Drum1000 kg
ISO tank (20ft)24–26 m³
ISO tank (40ft)48–50 m³
Propionic Acid
Propionic Acid
Propionic Acid
Propionic Acid

Propionic Acid (CAS 79-09-4) is a high-purity organic acid with excellent stability, good antibacterial properties, and strong solubility. It is a colorless transparent liquid at room temperature with a slightly pungent odor and shows good miscibility with water and many organic solvents. With molecular formula C₃H₆O₂ and molecular weight 74.08, it shows strong compatibility with various chemical systems. Our Propionic Acid is mainly supplied as industrial or feed grade with strict quality control, low moisture and impurity content, and stable performance. It is widely used in food preservatives, animal feed, and chemical synthesis. As a key raw material in food and agricultural industries, it ensures high efficiency and stable performance in various applications.

Propionic Acid (PA) Multi-functional Solution | Covers food preservation, feed additives and chemical synthesis | Stable supply & reliable qualityPropionic Acid (PA) Multi-functional Solution | Covers food preservation, feed additives and chemical synthesis | Stable supply & reliable qualityPropionic Acid (PA) Multi-functional Solution | Covers food preservation, feed additives and chemical synthesis | Stable supply & reliable quality

Propionic Acid (PA) Multi-functional Solution | Covers food preservation, feed additives and chemical synthesis | Stable supply & reliable quality

Product Description

Propionic Acid (PA, CAS 79-09-4) is an important organic acid widely used in food preservation, feed additives, and chemical industries.

It has good antimicrobial properties, moderate acidity, and excellent chemical stability, making it an effective preservative and intermediate in various applications.

It appears as a colorless to slightly yellow liquid at room temperature with a pungent odor and is fully miscible with water and most organic solvents. Our propionic acid is produced with high purity, with strict control over moisture, aldehydes, and other impurities, ensuring stable and consistent quality for industrial use.

Propionic acid is mainly used as a preservative in food and animal feed, effectively inhibiting the growth of molds and bacteria, thereby extending shelf life. It is also widely used in the production of propionate salts, herbicides, pharmaceuticals, and cellulose-based plastics.In industrial applications, propionic acid is typically handled in sealed systems and stored in cool, well-ventilated environments to prevent volatilization and contamination. It can be directly used or blended with other substances depending on specific application requirements.

It is widely applied in food processing, agriculture, pharmaceuticals, and chemical manufacturing industries. With its reliable performance and broad applicability, propionic acid has become an essential material in modern industrial and food supply chains.

Propionic Acid (PA) Multi-functional Solution | Covers food preservation, feed additives and chemical synthesis | Stable supply & reliable quality

Propionic Acid (PA) Multi-functional Solution | Covers food preservation, feed additives and chemical synthesis | Stable supply & reliable quality

Delivery&Payment method

Propionic Acid (PA) Multi-functional Solution | Covers food preservation, feed additives and chemical synthesis | Stable supply & reliable quality

Frequently asked

In what packaging is Propionic Acid shipped?

Standard formats are Drum (190 kg), IBC Drum (1000 kg), ISO tank (20ft) (24–26 m³), ISO tank (40ft) (48–50 m³). Other packaging can be arranged for full-container orders.

Is a safety data sheet available for Propionic Acid?

Yes. A full safety data sheet for CAS 79-09-4 is published and linked from this page; a signed copy is issued with the shipping documents.

What purity do you supply?

The standard grade is 99%. Tighter specifications are confirmed against the production batch before shipment.

Technical reading on Propionic Acid

n-Propanol in blends: azeotropes, water and recovery

The linear C3 alcohol earns its place in ink and coating blends. Water and azeotropes decide what it…

Article

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🧬 Wizualizator molekuły 3D
Ładowanie molekuły...
Model 3D Propionic Acid, CAS 79-09-4, wzór sumaryczny C3H6O2, masa molowa 74.08 g/mol

Dane transkrybowane z rejestrów regulacyjnych i literatury fachowej, z podaniem źródła i wydania. Nie zastępują karty charakterystyki dostawcy. Pola bez zapisanego źródła oznaczone jako takie.

📊 Dane fizykochemiczne — CAS 79-09-4MolGod_PROPHUB_MAIN
📊 Właściwości fizykochemiczne

Szybki przegląd

Wzór: C3H6O2
MW: 74.08 g/mol
CAS: 79-09-4
🔬 Właściwości zaawansowane

Identyfikatory chemiczne

SMILES: CCC(=O)O

Ostatnia aktualizacja: 2026-09-21

Przegląd chemiczny: Propionic AcidMolGod_OVERVIEW_1
Wzór sumarycznyC3H6O2[1]
Masa cząsteczkowa74.08 g/mol[1]
Temperatura topnienia-21 °C[1][2]
Temperatura wrzenia141.1 °C[1][2]
Density0.99 g/cm³[1]
LogP (lipofilowość)0.3[1]
Nazwa IUPACpropanoic acid[1]
SMILESCCC(=O)O[1]
InChIKeyXBDQKXXYIPTUBI-UHFFFAOYSA-N[1]

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

📚 Naukowe referencje (Chicago Author-Date) (2 źródeł)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: Wzór sumaryczny · Masa cząsteczkowa · Temperatura topnienia · Temperatura wrzenia · Density · LogP (lipofilowość) · Nazwa IUPAC · SMILES · InChIKey
  2. NIST. Chemistry WebBook, SRD 69. National Institute of Standards and Technology. ↗ dotyczy: Temperatura topnienia · Temperatura wrzenia

BADANIA NAUKOWE

[1]PubMed2025
Akkermansia muciniphila and its metabolite propionic acid maintains neuronal mitochondrial division and autophagy homeostasis during Alzheimer's disease pathologic…
Wang Z, Wang C, Yuan B et al.. (2025). "Akkermansia muciniphila and its metabolite propionic acid maintains neuronal mitochondrial division and autophagy homeostasis during Alzheimer's disease patholo
Przejdź do pełnego badania ↗
[2]PubMed2025
Melatonin treatment increases skin microbiota-derived propionic acid to alleviate atopic dermatitis.
Yang L, Wang P, Gao T et al.. (2025). "Melatonin treatment increases skin microbiota-derived propionic acid to alleviate atopic dermatitis.". The Journal of allergy and clinical immunology. https://do
Przejdź do pełnego badania ↗
[3]PubMed2024
Indole-3-Propionic Acid Protects Against Heart Failure With Preserved Ejection Fraction.
Wang YC, Koay YC, Pan C et al.. (2024). "Indole-3-Propionic Acid Protects Against Heart Failure With Preserved Ejection Fraction.". Circulation research. https://doi.org/10.1161/CIRCRESAHA.123.322381
Przejdź do pełnego badania ↗
[4]PubMed2023
Indole-3-propionic acid alleviates chondrocytes inflammation and osteoarthritis via the AhR/NF-κB axis.
Zhuang H, Ren X, Jiang F et al.. (2023). "Indole-3-propionic acid alleviates chondrocytes inflammation and osteoarthritis via the AhR/NF-κB axis.". Molecular medicine (Cambridge, Mass.). https://doi.o
Przejdź do pełnego badania ↗
[5]PubMed2023
Microbiota-indole 3-propionic acid-brain axis mediates abnormal synaptic pruning of hippocampal microglia and susceptibility to ASD in IUGR offspring.
Wang T, Chen B, Luo M et al.. (2023). "Microbiota-indole 3-propionic acid-brain axis mediates abnormal synaptic pruning of hippocampal microglia and susceptibility to ASD in IUGR offspring.". Microbio
Przejdź do pełnego badania ↗
[6]PubMed2023
Inulin-enriched Megamonas funiformis ameliorates metabolic dysfunction-associated fatty liver disease by producing propionic acid.
Yang X, Zhang M, Liu Y et al.. (2023). "Inulin-enriched Megamonas funiformis ameliorates metabolic dysfunction-associated fatty liver disease by producing propionic acid.". NPJ biofilms and microbiome
Przejdź do pełnego badania ↗
[7]PubMed2023
Akkermansia muciniphila protects the intestine from irradiation-induced injury by secretion of propionic acid.
He KY, Lei XY, Wu DH et al.. (2023). "Akkermansia muciniphila protects the intestine from irradiation-induced injury by secretion of propionic acid.". Gut microbes. https://doi.org/10.1080/19490976.20
Przejdź do pełnego badania ↗
[8]PubMed2023
Gut microbiota indole-3-propionic acid mediates neuroprotective effect of probiotic consumption in healthy elderly: A randomized, double-blind, placebo-controlled, multicenter…
Kim CS, Jung S, Hwang GS et al.. (2023). "Gut microbiota indole-3-propionic acid mediates neuroprotective effect of probiotic consumption in healthy elderly: A randomized, double-blind, placebo-contro
Przejdź do pełnego badania ↗
📚 Naukowe referencje (Chicago Author-Date) 12 refs · 2 baz

MOLECULE Bibliografia per-CAS (live z 13+ baz)

Źródła: db:pubmed (11) · db:Europe PMC (1)

  1. db:pubmed Wang Z, Wang C, Yuan B et al.. (2025). "Akkermansia muciniphila and its metabolite propionic acid maintains neuronal mitochondrial division and autophagy homeostasis during Alzheimer's disease pathologic process via GPR41 and GPR43.". Microbiome. https://doi.org/10.1186/s40168-024-02001-w →
  2. db:pubmed Yang L, Wang P, Gao T et al.. (2025). "Melatonin treatment increases skin microbiota-derived propionic acid to alleviate atopic dermatitis.". The Journal of allergy and clinical immunology. https://doi.org/10.1016/j.jaci.2024.11.019 →
  3. db:pubmed Wang YC, Koay YC, Pan C et al.. (2024). "Indole-3-Propionic Acid Protects Against Heart Failure With Preserved Ejection Fraction.". Circulation research. https://doi.org/10.1161/CIRCRESAHA.123.322381 →
  4. db:pubmed Zhuang H, Ren X, Jiang F et al.. (2023). "Indole-3-propionic acid alleviates chondrocytes inflammation and osteoarthritis via the AhR/NF-κB axis.". Molecular medicine (Cambridge, Mass.). https://doi.org/10.1186/s10020-023-00614-9 →
  5. db:pubmed Wang T, Chen B, Luo M et al.. (2023). "Microbiota-indole 3-propionic acid-brain axis mediates abnormal synaptic pruning of hippocampal microglia and susceptibility to ASD in IUGR offspring.". Microbiome. https://doi.org/10.1186/s40168-023-01656-1 →
  6. db:pubmed Yang X, Zhang M, Liu Y et al.. (2023). "Inulin-enriched Megamonas funiformis ameliorates metabolic dysfunction-associated fatty liver disease by producing propionic acid.". NPJ biofilms and microbiomes. https://doi.org/10.1038/s41522-023-00451-y →
  7. db:pubmed He KY, Lei XY, Wu DH et al.. (2023). "Akkermansia muciniphila protects the intestine from irradiation-induced injury by secretion of propionic acid.". Gut microbes. https://doi.org/10.1080/19490976.2023.2293312 →
  8. db:pubmed Kim CS, Jung S, Hwang GS et al.. (2023). "Gut microbiota indole-3-propionic acid mediates neuroprotective effect of probiotic consumption in healthy elderly: A randomized, double-blind, placebo-controlled, multicenter trial and in vitro study.". Clinical nutrition (Edinburgh, Scotland). https://doi.org/10.1016/j.clnu.2023.04.001 →
  9. db:pubmed Xue H, Chen X, Yu C et al.. (2022). "Gut Microbially Produced Indole-3-Propionic Acid Inhibits Atherosclerosis by Promoting Reverse Cholesterol Transport and Its Deficiency Is Causally Related to Atherosclerotic Cardiovascular Disease.". Circulation research. https://doi.org/10.1161/CIRCRESAHA.122.321253 →
  10. db:pubmed Duscha A, Gisevius B, Hirschberg S et al.. (2020). "Propionic Acid Shapes the Multiple Sclerosis Disease Course by an Immunomodulatory Mechanism.". Cell. https://doi.org/10.1016/j.cell.2020.02.035 →
  11. db:Europe PMC et al.. (2019). "RIFM fragrance ingredient safety assessment, propionic acid, CAS Registry Number 79-09-4.". https://doi.org/10.1016/j.fct.2019.110635 →
  12. db:pubmed Zhao ZH, Xin FZ, Xue Y et al.. (2019). "Indole-3-propionic acid inhibits gut dysbiosis and endotoxin leakage to attenuate steatohepatitis in rats.". Experimental & molecular medicine. https://doi.org/10.1038/s12276-019-0304-5 →
Status regulacyjny substancji
Ta substancja podlega wymogom regulacyjnym: gospodarka odpadami niebezpiecznymi (BDO). Szczegoly w sekcji "Status regulacyjny (REACH/ECHA/CLP)" oraz na karcie SDS. Informacja regulacyjna — nie ogranicza zakupu w sklepie.
🧮 Kalkulator stechiometrycznyMolGod_STOICH_1
🧪 Dane chemiczneMolGod_CHEMDATA_1
Numer CAS
79-09-4
Wzór sumaryczny
C3H6O2
Masa molowa
74.08 g/mol
Nazwa IUPAC (EN)
propanoic acid
SMILES
CCC(=O)O
InChIKey
XBDQKXXYIPTUBI-UHFFFAOYSA-N
📚 Literatura naukowa (20 artykuł)MolGod_LITSCI_1
Filtruj:
Sortuj:
📈 Oś czasu publikacji
2015
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2022
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📡 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.

⚗️ Physicochemical propertiesMolGod_PHYSTAB_2
Temp. wrzenia
140.9
Temp. topnienia
-21.2
Density
0.9900 g/cm³ @ 20°C

Source: PubChem, NIST WebBook. Last updated: 2026-09-21

🔍 Identyfikatory zewnętrzneMolGod_EXTID_1
11 z 16 systemów ID69%
BazaIdentyfikatorAkcje
CAS Registry Number79-09-4Otwórz →
PubChem CID1032[1]Otwórz →
InChIKeyXBDQKXXYIPTUBI-UHFFFAOYSA-N[1]Otwórz →
SMILESCCC(=O)O[1]
EC Number201-176-3[2]Otwórz →
DrugBankDB03766Otwórz →
KEGG CompoundC00163Otwórz →
HMDBHMDB0000237Otwórz →
ChemSpider1005[3]Otwórz →
UNII (FDA)JHU490RVYROtwórz →
WikiData QIDQ422956Otwórz →

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

📚 Naukowe referencje (Chicago Author-Date) (3 źródeł)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: PubChem CID · InChIKey · SMILES
  2. ECHA. EC Inventory — EINECS, ELINCS, NLP and List Numbers assigned under REACH. Helsinki: European Chemicals Agency. ↗ dotyczy: EC Number
  3. 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.

Bibliografia (rozszerzona) (5)

  1. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_03_01. link [dostep: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Propionic Acid.". https://doi.org/10.31003/fcc_f100516_03_01. link [dostep: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_r6293_01_01. link [dostep: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_04_01. link [dostep: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Cheese. Determination of propionic acid level by chromatography.". https://doi.org/10.3403/pdisots19046. link [dostep: 2026-09-23] CC0 (metadata)
📡 Spektroskopia — CAS 79-09-4MolGod_SPECHUB_MAIN
📊 Bazy widm spektroskopowych — dane inline 9 źródeł MolGod_SPECDB_2

Widma pobierane na żądanie z 9 źródeł. Każde widmo jest zapisywane w naszej bazie — kolejne otwarcie = zero zapytania do zewnętrznego API. Pobierz JCAMP-DX / CSV / PNG przy każdym widmie bez szukania.

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

Źródło referencyjne — brak publicznego API. Otwórz w zewnętrznej bazie:

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

Źródło referencyjne — brak publicznego API. Otwórz w zewnętrznej bazie:

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

Źródło referencyjne — brak publicznego API. Otwórz w zewnętrznej bazie:

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

Źródło referencyjne — brak publicznego API. Otwórz w zewnętrznej bazie:

🔗 DOAJ →
📚 DOAJ — doaj.org

Dane pobierane są jednorazowo (parser JCAMP-DX) i zapisywane w lokalnej bazie wtyczki. Zero duplikatów pobrań, zero zapytań do NIST przy kolejnych otwarciach. Licencje przestrzegane (publikowany tylko deep-link + własna wizualizacja).

🔬 Interaktywne widma (live — NIST / MoNA / NMRShiftDB / SDBS) (2)

Dane pobierane na żywo z wielu źródeł (priority-chain). JCAMP-DX / CSV / PNG dostępne do pobrania pod każdym widmem. ⓘ Jedno źródło ★★☆☆☆ ⓘ Jedno źródło ★★☆☆☆

IR — Fourier-transform infrared

Ładowanie IR — Fourier-transform infrared…

MS — Mass spectrometry (EI 70eV)

Ładowanie MS — Mass spectrometry (EI 70eV)…

Wlasciwosci strukturalneMolGod_STRUCT3D_1

Ladowanie danych strukturalnych...

❓ Najczęstsze pytania (3)MolGod_FAQ_1
What is 79-09-4?
79-09-4 (CAS 79-09-4) is a chemical compound. The chemical data comes from PubChem (National Institutes of Health, USA).
Pomocne?
What is the CAS number of 79-09-4?
The CAS number for 79-09-4 is 79-09-4. A CAS Registry Number is the standard identifier for a chemical substance in scientific literature and in trade.
Pomocne?
How should 79-09-4 be stored?
79-09-4 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.
Pomocne?
➕ Zaproponuj pytanie
Pobierz pliki strukturyMolGod_STRDL_1

Pliki struktury molekularnej z bazy PubChem (NIH). Kompatybilne z programami: Avogadro, PyMOL, Jmol, ChemDraw.

Zrodlo: PubChem, National Library of Medicine (NIH). CID: 1032

🔄 Konwerter jednostek stężeń LIVE MolGod_UNITCONV_1

Wpisz stężenie Propionic Acid w dowolnej jednostce — reszta obliczy się automatycznie.

MW: 74.08 g/mol · IUPAC Gold Book ↗

⚗️ Wzory konwersji + cytacje (per formuła)
KonwersjaWzórDokładnośćŹródło
% (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)
📚 Bibliografia (8 źródeł autorytatywnych)
  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
Podobne struktury molekularneMolGod_SIMSTR_1

Ladowanie podobnych struktur...

Wyjasnienia naukoweMolGod_EDU3D_1

Automatycznie wygenerowane wyjasnienia na podstawie wlasciwosci molekularnych i oznaczen GHS. Zrodlo: dane PubChem + klasyfikacja CLP/GHS.

Czasteczka umiarkowanie polarna

LogP = 0.30 wskazuje na rownowage miedzy hydrofilowoscia a lipofilowoscia. Czasteczka moze rozpuszczac sie zarowno w wodzie, jak i w niektorych rozpuszczalnikach organicznych.

Interpretacja na podstawie XLogP3 (PubChem)
Mala czasteczka

Masa molowa 74.08 g/mol klasyfikuje ten zwiazek jako mala czasteczke. Male czasteczki czesto sa lotne, latwiej penetruja bariery biologiczne i moga wykazywac wyzsze cisnienie pary.

Klasyfikacja wg masy molowej
Substancja powodujaca powazne oparzenia skory i uszkodzenia oczu

Czasteczka reaguje z bialkami i lipidami tkanki skory i rogowki. Silne kwasy (niskie pH) lub zasady (wysokie pH) denaturuja bialka przez zmiane ich struktury przestrzennej.

Klasyfikacja GHS/CLP, kod H314
Substancja moze powodowac podraznienie drog oddechowych

Czasteczka w postaci pary lub aerozolu dziala drazniaco na blone sluzowa nosa, gardla i pluc.

Klasyfikacja GHS/CLP, kod H335
🧪 Kreator przygotowania roztworu WIZARD MolGod_PREP_1
① Wybierz stężenie
② Objętość docelowa
③ Rozpuszczalnik

Obliczenia wg: IUPAC Gold Book ↗, Merck ↗

Chemia obliczeniowaMolGod_COMPCHEM_1

Ladowanie danych obliczeniowych...

🛡️ Bezpieczeństwo — CAS 79-09-4MolGod_SAFEHUB_MAIN
Informacja o ograniczeniach danych. Informacje dotyczące bezpieczeństwa zawarte na tej stronie mają charakter informacyjny i nie zastępują pełnej karty charakterystyki (SDS). Przed użyciem produktu zapoznaj się z aktualną kartą charakterystyki producenta oraz wytycznymi GHS/CLP. Klasyfikacja CLP dotyczy czystej substancji bulk, nie preparatów handlowych.

Klasyfikacja GHS/CLP — Rozporządzenie (WE) nr 1272/2008 + UN GHS Rev. 9 (2021).

⚠️ Niebezpieczeństwo (Danger)
GHS05 — Żrące
GHS05 Żrące
GHS07 — Drażniące / szkodliwe
GHS07 Drażniące / szkodliwe

🚨 Zwroty wskazujące rodzaj zagrożenia (H)

  • H314 — Powoduje poważne oparzenia skóry oraz uszkodzenia oczu
  • H335 — Może powodować podrażnienie dróg oddechowych

🛡 Zwroty określające środki ostrożności (P)

  • P260 — Nie wdychać pyłu/dymu/gazu/mgły/par/rozpylonej cieczy
  • P210 — Przechowywać z dala od źródeł ciepła, gorących powierzchni, źródeł iskrzenia, otwartego ognia i innych źródeł zapłonu. Nie palić

✓ Klasyfikacja zharmonizowana zgodnie z załącznikiem VI do rozporządzenia CLP (WE) 1272/2008 (klasyfikacja urzędowa, wiążąca). Numer indeksowy: 607-089-00-0.

Referencja (Chicago): European Chemicals Agency. "propionic acid ... %, Index No. 607-089-00-0." In Table 3 of Annex VI to Regulation (EC) No 1272/2008 (CLP Regulation), 23rd Adaptation to Technical Progress (harmonised list as of 2026-07-07). Helsinki: European Chemicals Agency, 2026. https://echa.europa.eu/information-on-chemicals/annex-vi-to-clp.

Tłumaczenia: Rozporządzenie CLP (WE) 1272/2008, Załącznik III i IV. Dane: PubChem/NLM.

📚 Skonsolidowane referencje naukowe — Chicago Author-Date 10 źródeł

Referencje zebrane ze wszystkich zakładek Safety Hub. CAS: 79-09-4 · 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, Regulacje
  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

Zakładki z własnymi referencjami (Emergency, PPE, Storage, Waste) zawierają dodatkowe pozycje bibliograficzne wewnątrz swoich sekcji.

📈 Statystyka analityczna (t-test · RSD · Grubbs · Q-Dixon) ICH Q2

Wklej serię powtórzeń pomiarów (CSV lub po jednej liczbie w linii). Kalkulator policzy średnią, odchylenie, 95% CI, wykryje outliery (Grubbs + Dixon Q).

Separator: przecinek, spacja, tab, nowa linia. Min 3 pomiary.
📐 Formuły statystyczne
  • x̄ = Σxᵢ / n — średnia arytmetyczna
  • s² = Σ(xᵢ - x̄)² / (n-1) — wariancja próby
  • s = √s² — odchylenie standardowe
  • RSD% = (s / x̄) × 100% — względne odchylenie
  • CI₉₅ = x̄ ± t(0.05, n-1) × s / √n — Student's t
  • G = |xᵢ - x̄| / s — test Grubbsa
  • Q = |xsuspect - xnearest| / |xmax - xmin| — Dixon Q-test

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

🧪 Kalkulator receptur buforów UNIKALNE
References: Wartości pKa z Goldberg NIST 81 · CRC Handbook 100th ed. · Stoll & Blanchard 1990 (DOI)

Wybierz bufor z listy 20 popularnych systemów → wprowadź docelowe pH → otrzymasz dokładny przepis z masami do odważenia.

Krok 1: Wybierz system buforowy

📜 Historia przepisów (ostatnie 10)
📅 Project Planner — Lab experiment manager NOWOŚĆ

Zaplanuj cały projekt laboratoryjny: dodaj eksperymenty z reagentami, powtórzeniami i czasem trwania. Otrzymasz wykres Gantta, listę zakupów (linki do sklepu!), budżet z 10% marginesem i macierz ryzyka GHS.

🧪 Rozpuszczalność i kompatybilność z solwentami MolGod_SOLUB_1
Molekuła
Propionic Acid
Wzór
C3H6O2
logP (XLogP3)
0.30
Masa (g/mol)
74.08
Polarność
Umiarkowana

⚠️ Kompatybilność wg Parametrów Hansena (δD/δP/δH) — wartości literaturowe. Dane orientacyjne, weryfikuj eksperymentalnie.

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..

Solwent Kompat. Ra Wizual GC-MS HPLC Zastosowania Referencje
Water (H₂O)miscible31.8
✗ NieA (aqueous) (RP)
buffercell cultureanalyticalextraction (hydrophilic)
Ethanol (EtOH)~ Śr.8.1
✗ NieA/B modifier (RP/NP)
extractionspectroscopy (UV-Vis)synthesisHPLC modifier
Methanol (MeOH)− Słaba12.2
✗ NieA/B (RP) (RP)
HPLC (eluent)LC-MSKarl FischerUV-transparent to 205 nm
Acetone+ Dobra7.6
✗ NieB modifier (NP)
GC headspacecrystallisationdegreasingsynthesis
Acetonitrile (ACN)− Słaba14.2
✗ NieB (RP) (RP)
HPLC eluent (gold standard)LC-MS (low UV cut-off, 190 nm)peptide analysis
DMSO− Słaba13.5
✗ NieN/A (N/A)
NMR (d6-DMSO)cell biology (cryopreservation)drug deliverysynthesis
THF+ Dobra6.1
✗ NieB (NP) (NP)
GPC/SEC (polymer analysis)Grignard synthesisorganometallics
DCM (CH₂Cl₂)~ Śr.9.5
✓ TakB (NP) (NP)
extractionNP-HPLCGC-MScrystallisation (anti-solvent)
Chloroform (CHCl₃)~ Śr.9.4
✓ TakN/A (toxic) (N/A)
NMR (CDCl3)lipid extraction (Folch method)NP-TLC
Hexane− Słaba13.5
✓ TakA (NP) (NP)
NP-HPLCoil extraction (lipids)GC-MSTLC (NP)
Toluene− Słaba12.9
✓ TakB (NP) (NP)
NMR (d8-toluene)synthesisazeotropic drying (Dean-Stark)
📚 Naukowe referencje dla solwentów (Chicago Author-Date) — kliknij aby rozwinąć

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
Teoria rozpuszczalności (zastosowane w przewidywaniu kompatybilności):
  1. Yalkowsky, Samuel H., and Shri C. Valvani. 1980. "Solubility and Partitioning I: Solubility of Nonelectrolytes in Water." Journal of Pharmaceutical Sciences 69 (8): 912–922. https://doi.org/10.1002/jps.2600690814 — General Solubility Equation (GSE): logS = 0.5 − logP − 0.01(MP−25).
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. CRC Press. https://doi.org/10.1201/9781420006834 — HSP triplet (dD, dP, dH) + wzór Ra.
  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 — Kompletny tabularny zestaw 250+ rozpuszczalników (ε, μ, donicity, acceptor numbers).
  8. PubChem Compound Database — CAS 79-09-4 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Kompletna bibliografia w akordeonie REFERENCJE (na dole strony) — Chicago Manual of Style 17th ed., Author-Date.

⚗️ Sprawdź kompatybilność reakcji MolGod_RXNCOMP_1
1 0 0
Zdrowie: 1/4
Palność: 0/4
Reaktywność: 0/4
Wg NFPA 704 / obliczone z H-codes

Sprawdź czy Propionic Acid jest kompatybilny z innym odczynnikiem

📦 Matryca kompatybilności przechowywania
Kwasy Zasady Utleniacze Łatwopalne Toksyczne Gazy
Kwasy ✓ ✗ ✗ ✗ ⚠ ✗
Zasady ✗ ✓ ⚠ ⚠ ⚠ ⚠
Utleniacze ✗ ⚠ ✓ ✗ ⚠ ✗
Łatwopalne ✗ ⚠ ✗ ✓ ⚠ ✗
Toksyczne ⚠ ⚠ ⚠ ⚠ ✓ ⚠
Gazy ✗ ⚠ ✗ ✗ ⚠ ✓
✓ Można razem · ⚠ Ostrożnie · ✗ NIE przechowywać razem · OSHA Chemical Segregation ↗

Dane kompatybilności z: Bretherick's Handbook (7th ed.) ↗, GESTIS ↗, ECHA REACH ↗, NFPA 704 ↗

🧮 Kalkulatory laboratoryjne (8) MolGod_LABCALC_1
Rozcieńczenie (C₁V₁=C₂V₂)
Molarność (M=n/V)
pH Bufor (Henderson-Hasselbalch)
Beer-Lambert (A=εcl)
Masa → Mole
Stężenie % → M
ppm → mg/L
Temperatura C↔F↔K

Formuły zweryfikowane: IUPAC Gold Book ↗, DOI ↗

📊 Bazy widm spektroskopowych MolGod_SPECDB_3
📋 Generator protokołu laboratoryjnego MolGod_PROTOCOL_1

Protokół wygenerowany na podstawie: GHS SDS, Aldrich Lab Guide ↗

🏷️ Generator etykiety (QR) MolGod_LABEL_1
Propionic Acid• IUPAC: propanoic acid• CAS: 79-09-4• EC: 201-176-3• Wzór: C3H6O2• Masa: 74.08 g/molNIEBEZPIECZEŃSTWOZwroty wskazujące rodzaj zagrożenia (H):H314 H335P210 P260WYŁĄCZNIE DO CELÓW LABORATORYJNYCH!Anhui Eapearl Chemical Co., Ltd.12th Floor, Tongguan Number Valley, Tongling, Anhui, China+86 186 5620 1888[email protected]epchems.com
Deskryptory Lipinskiego (struktura)

Wykres radarowy drug-likeness (Lipinski Ro5 / Veber). Strefa zielona = zgodność z kryteriami.

Dane predykcyjne — właściwości obliczone in silico (SMILES/RDKit). Nie zastępują badań klinicznych. Nie używaj do oceny leków bez weryfikacji eksperymentalnej.

MW74.1LogP0.3HBD1HBA2RotB1TPSA37.3 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (MW=74)✗ REOS (MW=74)✓ Lead-like Ro3
WłaściwośćWartośćOcena
Wchłanianie (GI)wysokie✓
Przepuszczalność BBBtak (przenika)
Biodostępność (Daina 2017)
55%
Profil CYP450CYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
Alerty PAINS0✓
Alerty Brenka0✓
pKa (pH 7.4)4.87 (experimental)
hERG (kardiotoks.)✓ nie
P-gp substrat—
Ames mutagenność✓ nie
DILI (wątrobok.)—
LogS (rozp. wod.)—
Źródła (metodologia ADMET)
  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. Wang Z, Wang C, Yuan B et al.. (2025). "Akkermansia muciniphila and its metabolite propionic acid maintains neuronal mitochondrial division and autophagy homeostasis during Alzheimer's disease pathologic process via GPR41 and GPR43.". Microbiome. https://doi.org/10.1186/s40168-024-02001-w
  22. Yang L, Wang P, Gao T et al.. (2025). "Melatonin treatment increases skin microbiota-derived propionic acid to alleviate atopic dermatitis.". The Journal of allergy and clinical immunology. https://doi.org/10.1016/j.jaci.2024.11.019
  23. Wang YC, Koay YC, Pan C et al.. (2024). "Indole-3-Propionic Acid Protects Against Heart Failure With Preserved Ejection Fraction.". Circulation research. https://doi.org/10.1161/CIRCRESAHA.123.322381
  24. Zhuang H, Ren X, Jiang F et al.. (2023). "Indole-3-propionic acid alleviates chondrocytes inflammation and osteoarthritis via the AhR/NF-κB axis.". Molecular medicine (Cambridge, Mass.). https://doi.org/10.1186/s10020-023-00614-9
  25. Wang T, Chen B, Luo M et al.. (2023). "Microbiota-indole 3-propionic acid-brain axis mediates abnormal synaptic pruning of hippocampal microglia and susceptibility to ASD in IUGR offspring.". Microbiome. https://doi.org/10.1186/s40168-023-01656-1
  26. Yang X, Zhang M, Liu Y et al.. (2023). "Inulin-enriched Megamonas funiformis ameliorates metabolic dysfunction-associated fatty liver disease by producing propionic acid.". NPJ biofilms and microbiomes. https://doi.org/10.1038/s41522-023-00451-y
  27. He KY, Lei XY, Wu DH et al.. (2023). "Akkermansia muciniphila protects the intestine from irradiation-induced injury by secretion of propionic acid.". Gut microbes. https://doi.org/10.1080/19490976.2023.2293312
  28. Kim CS, Jung S, Hwang GS et al.. (2023). "Gut microbiota indole-3-propionic acid mediates neuroprotective effect of probiotic consumption in healthy elderly: A randomized, double-blind, placebo-controlled, multicenter trial and in vitro study.". Clinical nutrition (Edinburgh, Scotland). https://doi.org/10.1016/j.clnu.2023.04.001
  29. Xue H, Chen X, Yu C et al.. (2022). "Gut Microbially Produced Indole-3-Propionic Acid Inhibits Atherosclerosis by Promoting Reverse Cholesterol Transport and Its Deficiency Is Causally Related to Atherosclerotic Cardiovascular Disease.". Circulation research. https://doi.org/10.1161/CIRCRESAHA.122.321253
  30. Duscha A, Gisevius B, Hirschberg S et al.. (2020). "Propionic Acid Shapes the Multiple Sclerosis Disease Course by an Immunomodulatory Mechanism.". Cell. https://doi.org/10.1016/j.cell.2020.02.035
  31. et al.. (2019). "RIFM fragrance ingredient safety assessment, propionic acid, CAS Registry Number 79-09-4.". https://doi.org/10.1016/j.fct.2019.110635
  32. Zhao ZH, Xin FZ, Xue Y et al.. (2019). "Indole-3-propionic acid inhibits gut dysbiosis and endotoxin leakage to attenuate steatohepatitis in rats.". Experimental & molecular medicine. https://doi.org/10.1038/s12276-019-0304-5
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  34. Block, Paul; Newman, Melvin S. 2003. "(+)‐ and (−)‐α‐(2,4,5,7‐Tetranitro‐9‐fluorenylideneaminooxy)propionic Acid." Organic Syntheses. DOI: 10.1002/0471264180.os048.35. [DOI ↗]
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  38. "Propionic Acid." DOI: 10.31003/uspnf_m70445_04_01. [DOI ↗]
  39. "Cheese. Determination of propionic acid level by chromatography." DOI: 10.3403/pdisots19046. [DOI ↗]
  40. "Synergistic Production of Pyruvic Acid and Propionic Acid over Defect-Rich MoS2." DOI: 10.1021/acs.iecr.2c04250.s001. [DOI ↗]
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  44. Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_04_01. [DOI ↗]
  45. Anonymous. "Cheese. Determination of propionic acid level by chromatography.". https://doi.org/10.3403/pdisots19046. [DOI ↗]
  46. et al. 2021. "In Vitro Evaluation of Antiproliferative Properties of Novel Organotin(IV) Carboxylate Compounds with Propanoic Acid Derivatives on a Panel of Human Cancer Cell Lines." DOI: 10.3390/molecules26113199. [DOI ↗]
  47. et al. 2026. "Synthesis of 2,3-(Diheterocyclyl)Propanoic Acid Esters as New Building Blocks via Complementary Meldrum's Acid and Aza-Michael Strategies." DOI: 10.3390/molecules31162909. [DOI ↗]
  48. et al. 2022. "Ultrasound Assisted Synthesis and In Silico Modelling of 1,2,4-Triazole Coupled Acetamide Derivatives of 2-(4-Isobutylphenyl)propanoic acid as Potential Anticancer Agents." DOI: 10.3390/molecules27227984. [DOI ↗]
  49. 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 ↗]
  50. Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. [DOI ↗]
  51. et al. 2021. "Biostability study, quantitation method and preliminary pharmacokinetics of a new antifilovirus agent based on borneol and 3-(piperidin-1-yl)propanoic acid." DOI: 10.1016/j.jpba.2021.114062. [DOI ↗]
  52. Kim, Sunghwan, Tiejun Cheng, Jianyong He, Chen Cheng, et al. 2021. "PubChem Protein, Pathway, Reaction, and Disease Specifications." Journal of Cheminformatics 13: 16. [DOI ↗]
  53. Hähnke, Volker D., Sunghwan Kim, and Evan E. Bolton. 2018. "PubChem chemical structure standardization." Journal of Cheminformatics 10: 36. [DOI ↗]
  54. Wang, Yanli, Stephen H. Bryant, Tiejun Cheng, Jiyao Wang, et al. 2017. "PubChem BioAssay: 2017 update." Nucleic Acids Research 45 (D1): D955-D963. [DOI ↗]
  55. 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 ↗]
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  57. PubMed PMID nchembio.237-comp18. (Metadata fetch failed.) ↗
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  60. et al. 2025. "The Organogermanium Compound 3-(trihydroxygermyl)propanoic Acid Exerts Anti-Inflammatory Effects via Adenosine-NR4A2 Signaling." DOI: 10.3390/ijms26062449. [DOI ↗]
  61. et al. 2025. "Improved flame retardancy of cotton fabric by crosslinking 3-hydroxyphenyl phosphinyl propanoic acid using 1,2,3,4-butane tetracarboxylic acid." DOI: 10.1016/j.ijbiomac.2025.144774. [DOI ↗]
  62. et al. 2024. "Synthesis of <i>N</i>-Alkyl-3-[2-oxoquinolin-1(2<i>H</i>)-yl]propanoic Acid Derivatives and Related Compounds: Cytotoxicity and EGFR Inhibition of Some Propanamide Derivatives." DOI: 10.1021/acsomega.4c03114. [DOI ↗]
  63. et al. 2024. "Discovery of (S)-3-(4-(benzyloxy)phenyl)-2-(2-phenoxyacetamido)propanoic acid derivatives as a new class of GPR34 antagonists." DOI: 10.1016/j.bmcl.2023.129548. [DOI ↗]
  64. et al. 2024. "Synthesis of 3-((4-Hydroxyphenyl)amino)propanoic Acid Derivatives as Promising Scaffolds for the Development of Antimicrobial Candidates Targeting Multidrug-Resistant Bacterial and Fungal Pathogens." DOI: 10.3390/antibiotics13020193. [DOI ↗]
  65. et al. 2022. "Synthetic Transformation of 2-{2-Fluoro[1,1'-biphenyl]-4-yl} Propanoic Acid into Hydrazide-Hydrazone Derivatives: <i>In Vitro</i> Urease Inhibition and <i>In Silico</i> Study." DOI: 10.1021/acsomega.2c05498. [DOI ↗]
  66. et al. 2021. "Design and Synthesis of Highly Active Antimycobacterial Mutual Esters of 2-(2-Isonicotinoylhydrazineylidene)propanoic Acid." DOI: 10.3390/ph14121302. [DOI ↗]
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  68. Hersey, Anne, et al. 2015. "Chemical databases: curation or integration by user-defined equivalence?" Drug Discovery Today: Technologies 14: 17-24.
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  71. 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.
  72. Ryszard Kozłowski, S. Rakovsky, Nekane Guarrotxena. 2013. "Analytical tools and industrial applications for chemical processes and polymeric materials." Taylor & Francis Group. ↗
  73. ECHA. 2024. "REACH Guidance." European Chemicals Agency. ↗
  74. 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. ↗
  75. Alfonso Jiménez, Ali Pourhashemi. 2014. "Chemical process in liquid and solid phases." Apple Academic Press. ↗
🧪 Asystent przygotowania roztworu (Smart Prep) MolGod_PREP_2

Wpisz co chcesz przygotować — wygeneruję SOP

Przykłady poniżej — kliknij żeby wstawić:
Gotowe przepisy:
📚 Przegląd literatury naukowej — CAS 79-09-4MolGod_LITHUB_MAIN
🔗 Citation network (citation network) 19 seed papers
📊 Graf citations dla CAS 79-09-4. Każdy węzeł = praca naukowa, krawędź A→B = praca A cytuje B. Dane z OpenAlex (Priem 2022).

⚡ Pobierz dane sieci

Sieć budowana on-demand z OpenAlex API (cache 24h).

🔬 HPLC — metody i parametry — CAS 79-09-4MolGod_HPLCHUB_MAIN
📈 Gradient HPLC — optymalizator (LSS) SZABLON

Gradient oparty na PubChem XLogP3 + LSS (Snyder et al. 2010, ch. 9).

  • Kolumna: C18
  • Bufor: phosphate
  • Przepływ: 1 mL/min
  • logP: 0.3 (PubChem XLogP3)
  • Rampa: 7% → 95% B, 10 min
  • Całkowity czas analizy: 23 min
t (min) %A %B flow (mL/min) Komentarz
0 93 7 1 start (równowaga)
2 93 7 1 koniec hold init
12 5 95 1 koniec rampy LSS
17 5 95 1 mycie kolumny
18 93 7 1 powrót do init
23 93 7 1 reekwilibracja
📚 Naukowe referencje (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/79-09-4

📐 Wymiary kolumny — kalkulator van Deemter N=12,466

Wzór: 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).

Wymiary150 × 4.6 mm, 5 µm
Płyty teoretyczne (N)12,466
N przy u_opt12,500
HETP (obecna)12.032 µm
HETP min12 µm
Prędkość liniowa (u)0.1003 cm/s
u_opt (van Deemter)0.12 cm/s
Ciśnienie wsteczne (ΔP)42.1 bar
Czas analizy (mart-vol)2.49 min
📚 Naukowe referencje (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/79-09-4

🧪 Faza ruchoma — macierz kompatybilności MISCIBLE
Składnik Nazwa UV cutoff (nm) P' Detektory
Rozp. Acetonitrile (MeCN) 190 5.8 UV, MS, ELSD, RID, FLD
Rozp. Water 190 10.2 UV, MS, ELSD, RID, FLD
Bufor Phosphate (KH2PO4 / K2HPO4) 195 pH 2.0-3.0 / 6.5-8.0 / 11.0-12.5 MS ✗

Detektor: UV — kompatybilny z oboma rozpuszczalnikami.

📚 Naukowe referencje (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=...

Kompletny przewodnik po metodzie HPLC Recenzowane

Scenariusze specyficzne dla cząsteczki, rozwiązywanie problemów i odniesienia literaturowe

Molecular Predictor

Predicted parameters for this molecule (CAS 79-09-4) are based on literature-backed models (Snyder-Dolan LSS, Neue pore-size rules).

Retention Time
1.95 min
Range: 1.37 – 2.54
confidence: low
Model: Snyder-Dolan LSS na kolumnie C18 150×4.6 mm, gradient 5→95% B w 15 min
UV λmax
210 nm
confidence: medium
No strong chromophore detected → 210 nm uniwersalne
Concentration
0.5 mg/mL
= 6.749 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.

Prawdziwy problem chemika

Dissolving the sample — in what?

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

Jak to rozwiązujemy

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

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Kalkulator interaktywny

Deep Education

Zrozumieć chemię fazy ruchomej

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: —

Najczęściej zadawane pytania

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

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

Source: ResearchGate

Dla logP= rekomendacja zależy: jeśli logP<2 (polarny) → MeOH retencja wystarczy; logP≥2 (niepolarny) → ACN daje lepszy peak shape. Dla tej molekuły (MW=74.08, CAS 79-09-4) 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

Gradient Problem From The Lab

Selectivity by changing the buffer

You have 3 critical peak pairs. Phosphate pH 3 gives Rs=1.4. You need to reach 2.0. Change the pH or the buffer type?

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.

Najczęściej zadawane pytania

Heurystyka Snyder: Rt ≈ 2.5·logP + 1.2 min. Dla propanoic 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

First column connection — no leak

A C18 100×4.6 mm column straight out of the box. How to connect it without dismantling it and spilling ACN over the autosampler?

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

Najczęściej zadawane pytania

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=74.08 (CAS 79-09-4) use a standard C18 100 Å column.

Source: Phenomenex Guide

Detection Gotcha

48 godzin stracone na niewidoczne piki

Day 1 — I prepared the sample, injected it, baseline flat. Day 2 — I repeated it 6× with different samples. Nothing. Wave check? Professor: "Take a look at the DAD scan". λ_max = 214 nm, and I had 254 nm set.
Lesson learned (Anna K., studentka 2. rok, PW, 2024-11-15):
ALWAYS run a UV scan of an unknown compound BEFORE the method. 254 nm = aromatics only. 210 nm = universal. Time saved: 2 days of work.

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

Data integrity — ALCOA+ w Empower

MHRA audit in 3 weeks. Empower history must show a complete audit trail. What to check in 150 sequences from 2026-Q1?

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

Najczęściej zadawane pytania

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 propanoic acid (CAS 79-09-4) 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

First gradient — what to do step by step

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

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

Analiza powypadkowa — prawdziwe historie porażek Wnioski

Prawdziwe wpadki chemików — co się stało, co pomogło, czego unikać.

Ghost peaks w ostatnim dniu stability

Dr. Tomasz W., PhD pharmaceutical 2024-08-22 Poziom 4/5
Co się stało:

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.

FDA finding — audit trail disabled

Director of QC, pharma 2025-11-04 Poziom 5/5
Co się stało:

FDA inspection Q3 2025. Warning Letter: "Empower audit trail disabled w 3 sekwencjach 2024-12". Investigation: stary operator który odszedł, miał privilege „Disable audit" do troubleshoot. NIKT nie wyłączył mu privileged after departure.

💡 Lekcja:

Privileged access review MONTHLY. Disable audit trail should never be enabled on prod. HR offboarding MUST trigger IT access revocation. Cost: 483 forms + 6 months of remediation.

Ask about this method

Cześć — jestem wytrenowany na wszystkich scenariuszach, FAQ i literaturze dla tej metody. Zapytaj mnie o cokolwiek.

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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 79-09-4). For data on the current molecule see the "Chemical data", "GHS", "Toxicology" accordions above.
Propylene glycol monomethyl ether acetate (PMA)
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L-Lysine HCl – High
Ta sama kategoria · Ta sama kategoria produktu
2-Ethylhexanoic Acid
Ta sama kategoria · Ta sama kategoria produktu
Ethylene glycol diacetate
Ta sama kategoria · Ta sama kategoria produktu
Propyl Acetate
Ta sama kategoria · Ta sama kategoria produktu
📄 Certyfikaty Analiz (CoA) CAS 79-09-4 brak MolGod_COA_2

Brak certyfikatów dla tego produktu w bazie.

📚 Naukowe referencje (Chicago Author-Date) — kliknij aby rozwinąć

Standardy zarządzania batchami i certyfikacji laboratoryjnej — 13 niezależnych źródeł (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
🧮 Ceny hurtowe (B2B)MolGod_BULK_1

Bulk orders? Contact us.

📜 Patenty (publiczne metadane) brak danych MolGod_PATENT_2

Aktualnie nie znaleziono publicznych metadanych patentowych dla tej substancji w Crossref / OpenAlex. Dane uzupełnimy automatycznie po odświeżeniu cache (24h).

📚 References (Chicago Author-Date) — click to expand
  1. Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_03_01.
  2. Anonymous. "Propionic Acid.". https://doi.org/10.31003/fcc_f100516_03_01.
  3. Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_r6293_01_01.
  4. Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_04_01.
  5. Anonymous. "Cheese. Determination of propionic acid level by chromatography.". https://doi.org/10.3403/pdisots19046.
  6. Wang Z, Wang C, Yuan B et al.. (2025). "Akkermansia muciniphila and its metabolite propionic acid maintains neuronal mitochondrial division and autophagy homeostasis during Alzheimer's disease pathologic process via GPR41 and GPR43.". Microbiome. https://doi.org/10.1186/s40168-024-02001-w
  7. Yang L, Wang P, Gao T et al.. (2025). "Melatonin treatment increases skin microbiota-derived propionic acid to alleviate atopic dermatitis.". The Journal of allergy and clinical immunology. https://doi.org/10.1016/j.jaci.2024.11.019
  8. Wang YC, Koay YC, Pan C et al.. (2024). "Indole-3-Propionic Acid Protects Against Heart Failure With Preserved Ejection Fraction.". Circulation research. https://doi.org/10.1161/CIRCRESAHA.123.322381
  9. Zhuang H, Ren X, Jiang F et al.. (2023). "Indole-3-propionic acid alleviates chondrocytes inflammation and osteoarthritis via the AhR/NF-κB axis.". Molecular medicine (Cambridge, Mass.). https://doi.org/10.1186/s10020-023-00614-9
  10. Wang T, Chen B, Luo M et al.. (2023). "Microbiota-indole 3-propionic acid-brain axis mediates abnormal synaptic pruning of hippocampal microglia and susceptibility to ASD in IUGR offspring.". Microbiome. https://doi.org/10.1186/s40168-023-01656-1
  11. Yang X, Zhang M, Liu Y et al.. (2023). "Inulin-enriched Megamonas funiformis ameliorates metabolic dysfunction-associated fatty liver disease by producing propionic acid.". NPJ biofilms and microbiomes. https://doi.org/10.1038/s41522-023-00451-y
  12. He KY, Lei XY, Wu DH et al.. (2023). "Akkermansia muciniphila protects the intestine from irradiation-induced injury by secretion of propionic acid.". Gut microbes. https://doi.org/10.1080/19490976.2023.2293312
  13. Kim CS, Jung S, Hwang GS et al.. (2023). "Gut microbiota indole-3-propionic acid mediates neuroprotective effect of probiotic consumption in healthy elderly: A randomized, double-blind, placebo-controlled, multicenter trial and in vitro study.". Clinical nutrition (Edinburgh, Scotland). https://doi.org/10.1016/j.clnu.2023.04.001
  14. Xue H, Chen X, Yu C et al.. (2022). "Gut Microbially Produced Indole-3-Propionic Acid Inhibits Atherosclerosis by Promoting Reverse Cholesterol Transport and Its Deficiency Is Causally Related to Atherosclerotic Cardiovascular Disease.". Circulation research. https://doi.org/10.1161/CIRCRESAHA.122.321253
  15. Duscha A, Gisevius B, Hirschberg S et al.. (2020). "Propionic Acid Shapes the Multiple Sclerosis Disease Course by an Immunomodulatory Mechanism.". Cell. https://doi.org/10.1016/j.cell.2020.02.035
  16. et al.. (2019). "RIFM fragrance ingredient safety assessment, propionic acid, CAS Registry Number 79-09-4.". https://doi.org/10.1016/j.fct.2019.110635
  17. Zhao ZH, Xin FZ, Xue Y et al.. (2019). "Indole-3-propionic acid inhibits gut dysbiosis and endotoxin leakage to attenuate steatohepatitis in rats.". Experimental & molecular medicine. https://doi.org/10.1038/s12276-019-0304-5
  18. World Intellectual Property Organization. 2024. "Patent Cooperation Treaty (PCT)." https://www.wipo.int/pct/.
  19. U.S. Patent and Trademark Office. 2024. "USPTO Patent Public Search." https://ppubs.uspto.gov/.
  20. European Patent Office. 2024. "Espacenet Patent Search." https://worldwide.espacenet.com/.
  21. 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.
  22. 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.
  23. 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.
  24. Meanwell, Nicholas A. 2011. "Synopsis of Some Recent Tactical Application of Bioisosteres in Drug Design." Journal of Medicinal Chemistry 54 (8): 2529-2591.
  25. 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.
  26. Hopkins, Andrew L., and Colin R. Groom. 2002. "The Druggable Genome." Nature Reviews Drug Discovery 1 (9): 727-730.
  27. Allison, John R., and Mark A. Lemley. 1998. "Empirical Evidence on the Validity of Litigated Patents." AIPLA Quarterly Journal 26 (3): 185-275.
  28. Patani, George A., and Edmond J. LaVoie. 1996. "Bioisosterism: A Rational Approach in Drug Design." Chemical Reviews 96 (8): 3147-3176.
  29. 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/79-09-4?status=active&limit=10

Bibliografia (rozszerzona) (5)

  1. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_03_01. link [dostep: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Propionic Acid.". https://doi.org/10.31003/fcc_f100516_03_01. link [dostep: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_r6293_01_01. link [dostep: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_04_01. link [dostep: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 OPEN ❓ unverified Anonymous. "Cheese. Determination of propionic acid level by chromatography.". https://doi.org/10.3403/pdisots19046. link [dostep: 2026-09-23] CC0 (metadata)
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📚 REFERENCJE (Bibliografia zbiorcza, Chicago Author-Date) 121 items

Wszystkie źródła naukowe cytowane w akordeonach powyżej dla CAS 79-09-4. Format: Chicago Manual of Style 17th ed., Author-Date system.

🗄️ Bazy danych naukowych

  1. NIST. n.d. NIST Chemistry WebBook: CAS 79-09-4. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=79-09-4.
  2. AIST. n.d. Spectral Database for Organic Compounds (SDBS): CAS 79-09-4. Tsukuba, Japan: National Institute of Advanced Industrial Science and Technology. https://sdbs.db.aist.go.jp/.
  3. 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.
  4. PubChem. n.d. PubChem Compound Summary: CAS 79-09-4. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine. https://pubchem.ncbi.nlm.nih.gov/#query=79-09-4.

📐 Standardy / Wytyczne

  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.
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📖 Książki

  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.
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  5. Urben, Peter G. 2017. Bretherick's Handbook of Reactive Chemical Hazards, 8th Edition. Academic Press / Elsevier, Oxford. https://www.sciencedirect.com/book/9780081010594.

📄 Artykuły naukowe (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.
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