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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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🧬 Visualiseur de molécule 3D
Chargement de la molécule...
Modèle 3D Propionic Acid, CAS 79-09-4, formule brute C3H6O2, masse molaire 74.08 g/mol

Données transcrites à partir de registres réglementaires et de la littérature spécialisée, avec indication de la source et de l'édition. Elles ne remplacent pas la fiche de données de sécurité du fournisseur. Les champs sans source enregistrée sont signalés comme tels.

📊 Données physicochimiques — CAS 79-09-4MolGod_PROPHUB_MAIN
📊 Propriétés physicochimiques

Aperçu rapide

Formule : C3H6O2
MW : 74.08 g/mol
CAS : 79-09-4
🔬 Propriétés avancées

Identifiants chimiques

SMILES: CCC(=O)O

Dernière mise à jour : 2026-09-21

Aperçu chimique: Propionic AcidMolGod_OVERVIEW_1
Formule bruteC3H6O2[1]
Masse moléculaire74.08 g/mol[1]
Point de fusion-21 °C[1][2]
Point d'ébullition141.1 °C[1][2]
Densité0.99 g/cm³[1]
LogP (lipophilie)0.3[1]
Nom IUPACpropanoic acid[1]
SMILESCCC(=O)O[1]
InChIKeyXBDQKXXYIPTUBI-UHFFFAOYSA-N[1]

Sources de données : PubChem (NLM/NIH)
Dernière mise à jour : 2026-09-21

📚 Références scientifiques (Chicago Author-Date) (2 sources)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: Formule brute · Masse moléculaire · Point de fusion · Point d'ébullition · Densité · LogP (lipophilie) · Nom IUPAC · SMILES · InChIKey
  2. NIST. Chemistry WebBook, SRD 69. National Institute of Standards and Technology. ↗ dotyczy: Point de fusion · Point d'ébullition

RECHERCHE SCIENTIFIQUE

[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
Accéder à l'étude complète ↗
[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
Accéder à l'étude complète ↗
[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
Accéder à l'étude complète ↗
[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
Accéder à l'étude complète ↗
[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
Accéder à l'étude complète ↗
[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
Accéder à l'étude complète ↗
[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
Accéder à l'étude complète ↗
[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
Accéder à l'étude complète ↗
📚 Références scientifiques (Chicago Author-Date) 12 refs · 2 baz

MOLECULE Bibliographie par CAS (en direct depuis 13+ bases de données)

Sources : 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 →
Statut réglementaire de la substance
Cette substance est soumise à des exigences réglementaires : gestion des déchets dangereux (BDO). Détails dans la section « Statut réglementaire (REACH/ECHA/CLP) » et sur la FDS. Information réglementaire — ne restreint pas l'achat dans la boutique.
🧮 Calculateur stœchiométriqueMolGod_STOICH_1
🧪 Données chimiquesMolGod_CHEMDATA_1
Numéro CAS
79-09-4
Formule brute
C3H6O2
Masse molaire
74.08 g/mol
Nom IUPAC (EN)
propanoic acid
SMILES
CCC(=O)O
InChIKey
XBDQKXXYIPTUBI-UHFFFAOYSA-N
📚 Scientific literature (20 articles)MolGod_LITSCI_1
Filtrer :
Trier :
📈 Chronologie des publications
2015
2021
2022
2023
2024
2025
2026
📡 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

🔍 Identifiants externesMolGod_EXTID_1
11 sur 16 systèmes d'ID69%
Base de donnéesIdentifiantActions
CAS Registry Number79-09-4Ouvrir →
PubChem CID1032[1]Ouvrir →
InChIKeyXBDQKXXYIPTUBI-UHFFFAOYSA-N[1]Ouvrir →
SMILESCCC(=O)O[1]
EC Number201-176-3[2]Ouvrir →
DrugBankDB03766Ouvrir →
KEGG CompoundC00163Ouvrir →
HMDBHMDB0000237Ouvrir →
ChemSpider1005[3]Ouvrir →
UNII (FDA)JHU490RVYROuvrir →
WikiData QIDQ422956Ouvrir →

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

📚 Références scientifiques (Chicago Author-Date) (3 sources)
  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.

Bibliographie (étendue) (5)

  1. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_03_01. lien [consulté: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Propionic Acid.". https://doi.org/10.31003/fcc_f100516_03_01. lien [consulté: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_r6293_01_01. lien [consulté: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_04_01. lien [consulté: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Cheese. Determination of propionic acid level by chromatography.". https://doi.org/10.3403/pdisots19046. lien [consulté: 2026-09-23] CC0 (metadata)
📡 Spectroscopie — CAS 79-09-4MolGod_SPECHUB_MAIN
📊 Bases de données de spectres spectroscopiques — données inline 9 sources MolGod_SPECDB_2

Les spectres sont récupérés à la demande depuis 9 sources. Chaque spectre est enregistré dans notre base — la prochaine ouverture = zéro requête vers l'API externe. Téléchargez JCAMP-DX / CSV / PNG pour chaque spectre sans avoir à chercher.

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

Source de référence — pas d'API publique. Ouvrir dans une base externe :

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

Source de référence — pas d'API publique. Ouvrir dans une base externe :

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

Source de référence — pas d'API publique. Ouvrir dans une base externe :

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

Source de référence — pas d'API publique. Ouvrir dans une base externe :

🔗 DOAJ →
📚 DOAJ — doaj.org

Les données sont récupérées une seule fois (analyseur JCAMP-DX) et enregistrées dans la base locale de l'extension. Aucun téléchargement en double, aucune requête NIST lors des ouvertures suivantes. Licences respectées (seuls un lien profond et notre propre visualisation sont publiés).

🔬 Spectres interactifs (live — NIST / MoNA / NMRShiftDB / SDBS) (2)

Données récupérées en direct depuis plusieurs sources (priority-chain). JCAMP-DX / CSV / PNG disponibles au téléchargement sous chaque spectre. ⓘ Source unique ★★☆☆☆ ⓘ Source unique ★★☆☆☆

IR — infrarouge à transformée de Fourier

Chargement de IR — infrarouge à transformée de Fourier…

MS — spectrométrie de masse (EI 70eV)

Chargement de MS — spectrométrie de masse (EI 70eV)…

Propriétés structurellesMolGod_STRUCT3D_1

Chargement des données structurelles...

❓ Questions fréquentes (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).
Utile ?
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.
Utile ?
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.
Utile ?
➕ Proposer une question
Télécharger les fichiers de structureMolGod_STRDL_1

Fichiers de structure moléculaire issus de la base PubChem (NIH). Compatibles avec les logiciels : Avogadro, PyMOL, Jmol, ChemDraw.

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

🔄 Convertisseur d'unités de concentration LIVE MolGod_UNITCONV_1

Saisissez la concentration Propionic Acid dans n'importe quelle unité — le reste sera calculé automatiquement.

MW : 74.08 g/mol · IUPAC Gold Book ↗

⚗️ Formules de conversion + citations (par formule)
ConversionFormulePrécisionSource
% (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 sources faisant autorité)
  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
Structures moléculaires similairesMolGod_SIMSTR_1

Chargement des structures similaires...

🧪 Assistant de préparation de solution WIZARD MolGod_PREP_1
① Sélectionnez la concentration
② Volume cible
③ Solvant

Calculs selon : IUPAC Gold Book ↗, Merck ↗

Chimie computationnelleMolGod_COMPCHEM_1

Chargement des données de calcul...

🛡️ Sécurité — CAS 79-09-4MolGod_SAFEHUB_MAIN
Avis sur les limitations des données. Les informations de sécurité figurant sur cette page sont fournies à titre indicatif et ne remplacent pas une fiche de données de sécurité (SDS) complète. Avant d'utiliser le produit, consultez la fiche de données de sécurité actuelle du fabricant ainsi que les directives GHS/CLP. La classification CLP s'applique à la substance pure en vrac, et non aux préparations commerciales.

Classification GHS/CLP — Règlement (CE) n° 1272/2008 + UN GHS Rev. 9 (2021).

⚠️ Danger
GHS05 — Corrosif
GHS05 Corrosif
GHS07 — Irritant / nocif
GHS07 Irritant / nocif

🚨 Mentions de danger (H)

  • H314 — Provoque des brûlures de la peau et des lésions oculaires graves.
  • H335 — Peut irriter les voies respiratoires.

🛡 Conseils de prudence (P)

  • P260 — Ne pas respirer les poussières/fumées/gaz/brouillards/vapeurs/aérosols.
  • P210 — Tenir à l'écart de la chaleur, des surfaces chaudes, des étincelles, des flammes nues et de toute autre source d'inflammation. Ne pas fumer.

✓ Classification harmonisée conformément à l'annexe VI du règlement CLP (CE) 1272/2008 (classification officielle, contraignante). Numéro d'index : 607-089-00-0.

Référence (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.

Traductions : Règlement CLP (CE) 1272/2008, Annexe III et IV. Données : PubChem/NLM.

📚 Références scientifiques consolidées — Chicago auteur-date 10 sources

Références collectées dans tous les onglets du 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, Réglementations
  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

Les onglets possédant leurs propres références (Emergency, PPE, Storage, Waste) contiennent des entrées bibliographiques supplémentaires au sein de leurs sections respectives.

📈 Statistiques analytiques (test t · RSD · Grubbs · Q-Dixon) ICH Q2

Collez une série de mesures répétées (CSV ou un nombre par ligne). Le calculateur calculera la moyenne, l'écart-type, l'IC à 95 %, et détectera les valeurs aberrantes (Grubbs + Dixon Q).

Séparateur : virgule, espace, tabulation, nouvelle ligne. Min. 3 mesures.
📐 Formules statistiques
  • x̄ = Σxᵢ / n — moyenne arithmétique
  • s² = Σ(xᵢ - x̄)² / (n-1) — variance de l'échantillon
  • s = √s² — écart-type
  • RSD% = (s / x̄) × 100% — écart-type relatif
  • CI₉₅ = x̄ ± t(0.05, n-1) × s / √n — Student's t
  • G = |xᵢ - x̄| / s — test de Grubbs
  • Q = |xsuspect - xnearest| / |xmax - xmin| — Dixon Q-test

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

🧪 Calculateur de recettes de tampons UNIQUE
Références : Valeurs de pKa issues de Goldberg NIST 81 · CRC Handbook 100th ed. · Stoll & Blanchard 1990 (DOI)

Choisissez un tampon dans la liste de 20 systèmes courants → saisissez le pH cible → vous obtiendrez une recette exacte avec les masses à peser.

Étape 1 : Choisissez un système tampon

📜 Historique des recettes (10 dernières)
📅 Project Planner — Gestionnaire d'expériences de laboratoire NOUVEAU

Planifiez l'ensemble de votre projet de laboratoire : ajoutez des expériences avec réactifs, réplicats et durée. Vous obtiendrez un diagramme de Gantt, une liste d'achats (avec des liens vers la boutique !), un budget avec une marge de 10 % et une matrice de risques GHS.

🧪 Solubilité et compatibilité avec les solvants MolGod_SOLUB_1
Molécule
Propionic Acid
Formule
C3H6O2
logP (XLogP3)
0.30
Masse (g/mol)
74.08
Polarité
Modérée

⚠️ Compatibilité selon les paramètres de Hansen (δD/δP/δH) — valeurs de la littérature. Données indicatives, à vérifier expérimentalement.

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..

Solvant Compat. Ra Visuel GC-MS HPLC Applications Références
Water (H₂O)miscible31.8
✗ NieA (aqueous) (RP)
buffercell cultureanalyticalextraction (hydrophilic)
Ethanol (EtOH)~ Moy.8.1
✗ NieA/B modifier (RP/NP)
extractionspectroscopy (UV-Vis)synthesisHPLC modifier
Methanol (MeOH)− Faible12.2
✗ NieA/B (RP) (RP)
HPLC (eluent)LC-MSKarl FischerUV-transparent to 205 nm
Acetone+ Bonne7.6
✗ NieB modifier (NP)
GC headspacecrystallisationdegreasingsynthesis
Acetonitrile (ACN)− Faible14.2
✗ NieB (RP) (RP)
HPLC eluent (gold standard)LC-MS (low UV cut-off, 190 nm)peptide analysis
DMSO− Faible13.5
✗ NieN/A (N/A)
NMR (d6-DMSO)cell biology (cryopreservation)drug deliverysynthesis
THF+ Bonne6.1
✗ NieB (NP) (NP)
GPC/SEC (polymer analysis)Grignard synthesisorganometallics
DCM (CH₂Cl₂)~ Moy.9.5
✓ TakB (NP) (NP)
extractionNP-HPLCGC-MScrystallisation (anti-solvent)
Chloroform (CHCl₃)~ Moy.9.4
✓ TakN/A (toxic) (N/A)
NMR (CDCl3)lipid extraction (Folch method)NP-TLC
Hexane− Faible13.5
✓ TakA (NP) (NP)
NP-HPLCoil extraction (lipids)GC-MSTLC (NP)
Toluene− Faible12.9
✓ TakB (NP) (NP)
NMR (d8-toluene)synthesisazeotropic drying (Dean-Stark)
📚 Références scientifiques pour les solvants (Chicago Author-Date) — cliquez pour développer

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
Théorie de la solubilité (appliquée à la prédiction de la compatibilité) :
  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 — Triplet HSP (dD, dP, dH) + formule 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 — Ensemble tabulaire complet de 250+ solvants (ε, μ, donicité, nombres accepteurs).
  8. PubChem Compound Database — CAS 79-09-4 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

Bibliographie complète dans l'accordéon RÉFÉRENCES (en bas de la page) — Chicago Manual of Style 17th ed., Author-Date.

⚗️ Vérifier la compatibilité de la réaction MolGod_RXNCOMP_1
1 0 0
Santé : 1/4
Inflammabilité : 0/4
Réactivité : 0/4
Selon NFPA 704 / calculé à partir des codes H

Vérifiez si Propionic Acid est compatible avec un autre réactif

📦 Matrice de compatibilité de stockage
Acides Bases Oxydants Inflammable Toxique Gazy
Acides ✓ ✗ ✗ ✗ ⚠ ✗
Bases ✗ ✓ ⚠ ⚠ ⚠ ⚠
Oxydants ✗ ⚠ ✓ ✗ ⚠ ✗
Inflammable ✗ ⚠ ✗ ✓ ⚠ ✗
Toxique ⚠ ⚠ ⚠ ⚠ ✓ ⚠
Gazy ✗ ⚠ ✗ ✗ ⚠ ✓
✓ Stockage commun possible · ⚠ Prudence · ✗ NE PAS stocker ensemble · OSHA Chemical Segregation ↗

Données de compatibilité issues de : Bretherick's Handbook (7th ed.) ↗, GESTIS ↗, ECHA REACH ↗, NFPA 704 ↗

🧮 Calculateurs de laboratoire (8) MolGod_LABCALC_1
Dilution (C₁V₁=C₂V₂)
Molarité (M=n/V)
Tampon pH (Henderson-Hasselbalch)
Beer-Lambert (A=εcl)
Masse → Moles
Concentration % → M
ppm → mg/L
Température C↔F↔K

Formules vérifiées : IUPAC Gold Book ↗, DOI ↗

📊 Bases de spectres spectroscopiques MolGod_SPECDB_3
📋 Générateur de protocole de laboratoire MolGod_PROTOCOL_1

Protocole généré à partir de : GHS SDS, Aldrich Lab Guide ↗

🏷️ Générateur d'étiquette (QR) MolGod_LABEL_1
Propionic Acid• IUPAC: propanoic acid• CAS: 79-09-4• EC: 201-176-3• Formule: C3H6O2• Masse: 74.08 g/molDANGERMENTIONS DE DANGER GHS :H314 H335P210 P260Réservé à un usage en laboratoire !Anhui Eapearl Chemical Co., Ltd.12th Floor, Tongguan Number Valley, Tongling, Anhui, China+86 186 5620 1888[email protected]epchems.com
Deskryptory Lipinskiego (struktura)

Diagramme radar de drug-likeness (Lipinski Ro5 / Veber). Zone verte = conformité aux critères.

Données prédictives — propriétés calculées in silico (SMILES/RDKit). Elles ne remplacent pas les études cliniques. Ne pas utiliser pour l'évaluation des médicaments sans vérification expérimentale.

MW74.1LogP0.3HBD1HBA2RotB1TPSA37.3 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (MW=74)✗ REOS (MW=74)✓ Lead-like Ro3
PropriétéValeurÉvaluation
Absorption (GI)élevée✓
Perméabilité BHEoui (traverse)
Biodisponibilité (Daina 2017)
55%
CYP450 profileCYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
Alertes PAINS0✓
Alertes Brenk0✓
pKa (pH 7.4)4.87 (experimental)
hERG (cardiotox.)✓ non
Substrat de la P-gp—
Mutagénicité Ames✓ non
DILI (hépatotox.)—
LogS (solub. aq.)—
Sources (méthodologie 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
  33. M. Graze, Rita. 2018. "Propionic Acid Preparation v1." DOI: 10.17504/protocols.io.qjjdukn. [DOI ↗]
  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 ↗]
  35. "Propionic Acid." DOI: 10.31003/uspnf_m70445_03_01. [DOI ↗]
  36. "Propionic Acid." DOI: 10.31003/fcc_f100516_03_01. [DOI ↗]
  37. "Propionic Acid." DOI: 10.31003/uspnf_r6293_01_01. [DOI ↗]
  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 ↗]
  41. Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_03_01. [DOI ↗]
  42. Anonymous. "Propionic Acid.". https://doi.org/10.31003/fcc_f100516_03_01. [DOI ↗]
  43. Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_r6293_01_01. [DOI ↗]
  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 ↗]
  56. PubMed PMID nchembio.145-comp22. (Metadata fetch failed.) ↗
  57. PubMed PMID nchembio.237-comp18. (Metadata fetch failed.) ↗
  58. PubMed PMID nchem.1469-comp2. (Metadata fetch failed.) ↗
  59. PubMed PMID PubChem. (Metadata fetch failed.) ↗
  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 ↗]
  67. Wilkinson, Mark D., et al. 2016. "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018. [DOI ↗]
  68. Hersey, Anne, et al. 2015. "Chemical databases: curation or integration by user-defined equivalence?" Drug Discovery Today: Technologies 14: 17-24.
  69. 2021. "Methods of identifying SENP1 inhibitors." [ChEMBL bioactivity primary lit]
  70. 2017. "Methods of identifying SENP1 inhibitors." [ChEMBL bioactivity primary lit]
  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. ↗
🧪 Assistant de préparation de solution (Smart Prep) MolGod_PREP_2

Saisissez ce que vous souhaitez préparer — je générerai un SOP

Exemples ci-dessous — cliquez pour insérer :
Recettes prédéfinies :
📚 Aperçu de la littérature scientifique — CAS 79-09-4MolGod_LITHUB_MAIN
🔗 Citation network (citation network) 19 articles de départ
📊 Graf citations pour CAS 79-09-4. Chaque nœud = un article scientifique, une arête A→B = l'article A cite B. Données d'OpenAlex (Priem 2022).

⚡ Récupérer les données du réseau

Réseau construit à la demande à partir de l'API OpenAlex (cache 24h).

🔬 HPLC — méthodes et paramètres — CAS 79-09-4MolGod_HPLCHUB_MAIN
📈 Gradient HPLC — optimiseur (LSS) MODÈLE

Gradient basé sur PubChem XLogP3 + LSS (Snyder et al. 2010, chap. 9).

  • Colonne: C18
  • Tampon: phosphate
  • Débit: 1 mL/min
  • logP: 0.3 (PubChem XLogP3)
  • Rampe: 7% → 95% B, 10 min
  • Temps d'analyse total: 23 min
t (min) %A %B flow (mL/min) Commentaire
0 93 7 1 début (équilibre)
2 93 7 1 fin du palier initial
12 5 95 1 fin de la rampe LSS
17 5 95 1 lavage de la colonne
18 93 7 1 retour à init
23 93 7 1 rééquilibrage
📚 Références scientifiques (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

📐 Dimensions de la colonne — calculateur de van Deemter N=12,466

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

Dimensions150 × 4.6 mm, 5 µm
Plateaux théoriques (N)12,466
N à u_opt12,500
HETP (actuelle)12.032 µm
Min. HETP12 µm
Vitesse linéaire (u)0.1003 cm/s
u_opt (van Deemter)0.12 cm/s
Contre-pression (ΔP)42.1 bar
Temps d'analyse (volume mort)2.49 min
📚 Références scientifiques (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

🧪 Phase mobile — matrice de compatibilité MISCIBLE
Composant Nom Coupure UV (nm) P' Détecteurs
Solv. Acetonitrile (MeCN) 190 5.8 UV, MS, ELSD, RID, FLD
Solv. Water 190 10.2 UV, MS, ELSD, RID, FLD
Tampon Phosphate (KH2PO4 / K2HPO4) 195 pH 2.0-3.0 / 6.5-8.0 / 11.0-12.5 MS ✗

Détecteur: UV — compatible avec les deux solvants.

📚 Références scientifiques (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=...

Guide complet de la méthode HPLC Évalué par les pairs

Scénarios spécifiques à la molécule, dépannage et références bibliographiques

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.

Vrai problème de chimiste

Eksport chromatogramu do raportu

Your boss wants a PNG of the chromatogram for a presentation. You only have ChemStation with a .ch file. How to get from .ch → PNG?

Comment nous résolvons cela

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

Calculateur interactif

Deep Education

Comprendre la chimie de la phase mobile

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: —

Questions fréquemment posées

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

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

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.

Questions fréquemment posées

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

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

Column Choice Dilemma

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

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

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

Questions fréquemment posées

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

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

Source: Agilent App Notes

Detection Gotcha

First gradient — what to do step by step

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

DAD Settings

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

Alternative Detectors

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

Validation Reality Check

Change control: transfer the method to a new HPLC

The old Agilent 1100 is due for replacement. New Waters Arc. How to run transfer validation without a repeat full validation?

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

Questions fréquemment posées

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

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

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

Source: USP Online

Prep Mistakes That Ruined The Run

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

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

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

Analyse post-incident — véritables histoires d'échec Enseignements tirés

Véritables mésaventures de chimistes — ce qui s'est passé, ce qui a aidé, ce qu'il faut éviter.

48 godzin stracone na niewidoczne piki

Anna K., studentka 2. rok, PW 2024-11-15 Poziom 2/5
Ce qui s'est passé :

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

💡 Lekcja:

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

Method transfer from Warsaw to Krakow failed

R&D team, 2 sites 2025-09-18 Poziom 5/5
Ce qui s'est passé :

At first we ran it in the Warsaw lab. Transfer to Kraków: every Rt shifted +0.8 min, Rs borderline at 1.9-2.1. Investigation: buffers from different manufacturers (Merck vs Sigma-Aldrich) differed by 0.2 in pH. 6 weeks of transfer revalidation.

💡 Lekcja:

Transfer requires a SPEC for the buffer (manufacturer, grade, LOT). Not just „NH4HCO3 10 mM pH 7.0". Run a preliminary system suitability on the new instrument before the full transfer.

Ask about this method

Bonjour — je suis entraîné sur tous les scénarios, la FAQ et la littérature de cette méthode. Demandez-moi ce que vous voulez.

Share your scenario

Do you have experience with this method? A problem you solved? A mishap you want to spare others? Write to us — after moderator approval it will appear here as „real case".

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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)
Ta sama kategoria · Ta sama kategoria produktu
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
📄 Certificats d'analyse (CoA) CAS 79-09-4 aucun MolGod_COA_2

Aucun certificat pour ce produit dans la base de données.

📚 Références scientifiques (Chicago Author-Date) — cliquez pour développer

Normes de gestion des lots et de certification en laboratoire — 13 sources indépendantes (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. [lien ↗] — 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. [lien ↗] — 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. [lien ↗] — 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. [lien ↗] — Source for batch shelf-life and retest dating
  5. International Council for Harmonisation (ICH). 2006. "ICH Q3A(R2): Impurities in New Drug Substances." ICH. [lien ↗]
  6. International Council for Harmonisation (ICH). 1999. "ICH Q6A: Specifications for New Drug Substances and Products." ICH. [lien ↗] — CoA acceptance-criteria specification standard
  7. International Council for Harmonisation (ICH). 2008. "ICH Q10: Pharmaceutical Quality System." ICH. [lien ↗]
  8. U.S. Food and Drug Administration. 2024. "21 CFR Part 211: Current Good Manufacturing Practice for Finished Pharmaceuticals." US Code of Federal Regulations. [lien ↗] — 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. [lien ↗]
  10. United States Pharmacopeial Convention. 2024. "United States Pharmacopeia and National Formulary, USP 47-NF 42." USP. [lien ↗]
  11. European Pharmacopoeia Commission. 2024. "European Pharmacopoeia 11th Edition." Council of Europe — EDQM. [lien ↗]
  12. Pharmaceutical Inspection Co-operation Scheme (PIC/S). 2021. "Guide to Good Manufacturing Practice for Medicinal Products PE 009-15." PIC/S Secretariat, Geneva. [lien ↗] — 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. [lien ↗] — Excipient-grade CoA standard for non-API ingredients
🧮 Ceny hurtowe (B2B)MolGod_BULK_1

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📜 Brevets (métadonnées publiques) aucune donnée MolGod_PATENT_2

Aucune métadonnée de brevet publique n'a été trouvée pour cette substance dans Crossref / OpenAlex pour le moment. Les données seront complétées automatiquement après le rafraîchissement du cache (24h).

📚 Références (Chicago Author-Date) — cliquez pour développer
  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

Bibliographie (étendue) (5)

  1. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_03_01. lien [consulté: 2026-09-23] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Propionic Acid.". https://doi.org/10.31003/fcc_f100516_03_01. lien [consulté: 2026-09-23] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_r6293_01_01. lien [consulté: 2026-09-23] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Propionic Acid.". https://doi.org/10.31003/uspnf_m70445_04_01. lien [consulté: 2026-09-23] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 LIBRE ❓ non vérifié Anonymous. "Cheese. Determination of propionic acid level by chromatography.". https://doi.org/10.3403/pdisots19046. lien [consulté: 2026-09-23] CC0 (metadata)
Données de PubChemSource : PubChem (NIH)
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📚 RÉFÉRENCES (Bibliographie agrégée, Chicago Author-Date) 121 éléments

Toutes les sources scientifiques citées dans les accordéons ci-dessus pour le CAS 79-09-4. Format : Chicago Manual of Style, 17e éd., système Auteur-Date.

🗄️ Bases de données scientifiques

  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.

📐 Normes / Lignes directrices

  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.

📖 Livres

  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.

📄 Articles scientifiques (évalués par les pairs)

  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.

🌐 Sites web

  1. ECHA. 2023. "Guidance on the Application of the CLP Criteria." European Chemicals Agency. https://echa.europa.eu/guidance-documents/guidance-on-clp.
  2. European Parliament. 2006. "Regulation (EC) No 1907/2006 (REACH)." Official Journal of the European Union L 396: 1–849.
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