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succinic acid — label CAS 110-15-6

Succinic Acid

Amber acid

CAS 110-15-6 EC 203-740-4 C4H6O4 Other SDS published CLP Danger
MolGod_SDSCARD_1
REACH 2020/878
v2 · 08.09.2026

Specification

Product NameSuccinic Acid
Other NamesAmber acid
CAS No.110-15-6
EINECS No.203-740-4
MFC4H6O4
Molecular weight118.09
Purity99.50%
AppearanceA white, odorless solid with a sour taste
Density1.19 g/mL at 25 °C
Melting point185°C
Boiling point235°C
Flashing point230°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 GHS pictogram GHS07 — Irritant / harmful

Danger

Classification source — PubChem C&L (consensus filter, not harmonised)

No harmonised entry exists for this substance; the classification shown is the supplier consensus reported to ECHA and should be confirmed for your intended use.

  • H318 Causes serious eye damage
Precautionary statements (1)
  • P264 Wash thoroughly after handling
Full safety data sheet CLP label (EN)

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

Packaging and shipping

Drum25 kg
IBC Drum1000 kg
ISO tank (20ft)24–26 m³
ISO tank (40ft)48–50 m³
Succinic Acid
Succinic Acid
Succinic Acid
Succinic Acid

Succinic Acid (CAS 110-15-6) is a high-purity organic acid with excellent stability, good biodegradability, and strong reactivity. It appears as a white crystalline substance at room temperature with good solubility in water and alcohol. With molecular formula C₄H₆O₄ and molecular weight 118.09, it shows good compatibility with various chemical systems. Our Succinic Acid is mainly supplied as industrial or food grade with strict quality control, low moisture and impurity content, and stable performance. It is widely used in chemical synthesis, biodegradable materials, and food additives. As a key raw material in green chemistry and sustainable industries, it ensures high efficiency and stable performance in various applications.

Succinic Acid Multi-functional Solution | Covers chemical synthesis, biodegradable materials and food additives | Stable supply & reliable qualitySuccinic Acid Multi-functional Solution | Covers chemical synthesis, biodegradable materials and food additives | Stable supply & reliable qualitySuccinic Acid Multi-functional Solution | Covers chemical synthesis, biodegradable materials and food additives | Stable supply & reliable quality

Succinic Acid Multi-functional Solution | Covers chemical synthesis, biodegradable materials and food additives | Stable supply & reliable quality

Product Description

Succinic Acid (CAS 110-15-6) is an important high-purity organic acid widely used in the chemical, food, and biodegradable materials industry.

It has good chemical stability, excellent biodegradability, and strong reactivity, making it an essential intermediate in various chemical processes.

It appears as a white crystalline solid at room temperature and is easily soluble in water and alcohol. Our Succinic Acid is produced as industrial or food grade with purity over 99.50%, strict control of moisture, heavy metals, and other impurities, ensuring stable and consistent quality for industrial use.

Succinic Acid is mainly used in chemical synthesis, usually as a key intermediate for the production of resins, coatings, plasticizers, and biodegradable polymers to improve material performance and processing efficiency.

It is also applied in food additives, pharmaceuticals, and agriculture as a mild and efficient acidulant or functional ingredient. In usage, Succinic Acid is dissolved and blended evenly with other materials under controlled conditions to ensure uniformity and stability.

It is widely applied in biodegradable materials, food processing, and fine chemicals industries. With high efficiency and stable performance, Succinic Acid has become an indispensable basic material in modern green chemistry and sustainable industries.

Succinic Acid Multi-functional Solution | Covers chemical synthesis, biodegradable materials and food additives | Stable supply & reliable quality

Delivery&Payment method

Succinic Acid Multi-functional Solution | Covers chemical synthesis, biodegradable materials and food additives | Stable supply & reliable quality

Frequently asked

In what packaging is Succinic Acid shipped?

Standard formats are Drum (25 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 Succinic Acid?

Yes. A full safety data sheet for CAS 110-15-6 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 99.50%. Tighter specifications are confirmed against the production batch before shipment.

Technical reading on Succinic Acid

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🧬 3D Molecule Visualizer
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3D model Succinic Acid, CAS 110-15-6, molecular formula C4H6O4, molar mass 118.09 g/mol

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

📊 Physicochemical data — CAS 110-15-6MolGod_PROPHUB_MAIN
📊 Physicochemical properties

Quick Reference

Formula: C4H6O4
MW: 118.09 g/mol
CAS: 110-15-6
Appearance: WHITE MINUTE MONOCLINIC PRISMS
Odour: Odorless

Detailed Properties

A supplement to the „Physicochemical properties (database)” table below — repeated values are shown only once.

Property Value Unit Conditions Source
Density (ρ) 1.572 at 20 °C (NTP, 1992) - Denser than water; will sink[1] CAMEO Chemicals ↗
Boiling Point (bp) 235 °C at 760 mmHg (Decomposes) (NTP, 1992) CAMEO Chemicals ↗
Flash Point 160 °C (open cup)[1][2] Hazardous Substances Data Bank (HSDB) ↗
Vapor Pressure 0.00000019 [mmHg][1] Haz-Map, Information on Hazardous Chemicals and Occupational Diseases ↗
Refractive Index (nD) Index of refraction = 1.450[1][2] Hazardous Substances Data Bank (HSDB) ↗
🔬 Advanced Properties

Chemical Identifiers

SMILES: C(CC(=O)O)C(=O)O
InChI: InChI=1S/C4H6O4/c5-3(6)1-2-4(7)8/h1-2H2,(H,5,6)(H,7,8)
InChIKey: KDYFGRWQOYBRFD-UHFFFAOYSA-N

Data sources: CAMEO Chemicals, Hazardous Substances Data Bank (HSDB), Haz-Map, Information on Hazardous Chemicals and Occupational Diseases

Last updated: 2026-09-21

📚 Scientific references (Chicago Author-Date) (2 sources)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: Density (ρ) · Flash Point · Vapor Pressure · Refractive Index (nD)
  2. NLM. Hazardous Substances Data Bank (HSDB). National Library of Medicine. ↗ dotyczy: Flash Point · Refractive Index (nD)
Chemical Overview: Succinic AcidMolGod_OVERVIEW_1
Molecular formulaC4H6O4[1]
Molecular weight118.09 g/mol[1]
Melting point186.5 °C[1][2]
LogP (lipophilicity)-0.6[1]
IUPAC namebutanedioic acid[1]
SMILESC(CC(=O)O)C(=O)O[1]
InChIKeyKDYFGRWQOYBRFD-UHFFFAOYSA-N[1]

Synonyms: succinic acid · butanedioic acid · 110-15-6 · Amber acid · Asuccin

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

📚 Scientific references (Chicago Author-Date) (2 sources)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. ↗ dotyczy: Molecular formula · Molecular weight · Melting point · LogP (lipophilicity) · IUPAC name · SMILES · InChIKey
  2. NIST. Chemistry WebBook, SRD 69. National Institute of Standards and Technology. ↗ dotyczy: Melting point

SCIENTIFIC RESEARCH

[1]PubMed2026
Suppressing MASH fibrotic progression by blocking succinate-GPR91 signaling in HSCs.
Xie L, Chen H, Zhang L et al.. (2026). "Suppressing MASH fibrotic progression by blocking succinate-GPR91 signaling in HSCs.". Hepatology (Baltimore, Md.). https://doi.org/10.1097/HEP.0000000000001405
Go to full study ↗
[2]CrossRef2026
Cartoon / Vorschau
(2026). "Cartoon / Vorschau". Leidfaden. https://doi.org/10.13109/leid.2026.15.3.110
Go to full study ↗
[3]PubMed2025
Gang of 3: How the Krebs cycle-linked metabolites itaconate, succinate, and fumarate regulate macrophages and inflammation.
Pålsson-McDermott EM, O'Neill LAJ. (2025). "Gang of 3: How the Krebs cycle-linked metabolites itaconate, succinate, and fumarate regulate macrophages and inflammation.". Cell metabolism. https://doi.o
Go to full study ↗
[4]PubMed2025
Alterations in PD-L1 succinylation shape anti-tumor immune responses in melanoma.
Liang L, Kuang X, He Y et al.. (2025). "Alterations in PD-L1 succinylation shape anti-tumor immune responses in melanoma.". Nature genetics. https://doi.org/10.1038/s41588-025-02077-6
Go to full study ↗
[5]PubMed2025
Succinate drives gut inflammation by promoting FOXP3 degradation through a molecular switch.
Wang H, Hu D, Cheng Y et al.. (2025). "Succinate drives gut inflammation by promoting FOXP3 degradation through a molecular switch.". Nature immunology. https://doi.org/10.1038/s41590-025-02166-y
Go to full study ↗
[6]PubMed2025
Gut flora-derived succinate exacerbates Allergic Airway Inflammation by promoting protein succinylation.
Wang C, Yu X, Yu X et al.. (2025). "Gut flora-derived succinate exacerbates Allergic Airway Inflammation by promoting protein succinylation.". Redox biology. https://doi.org/10.1016/j.redox.2025.10362
Go to full study ↗
[7]PubMed2025
Succinate preserves CD8(+) T cell fitness to augment antitumor immunity.
Ma K, Cheng H, Wang L et al.. (2025). "Succinate preserves CD8(+) T cell fitness to augment antitumor immunity.". Immunity. https://doi.org/10.1016/j.immuni.2025.07.017
Go to full study ↗
[8]PubMed2025
Succinate-loaded tumor cell-derived microparticles reprogram tumor-associated macrophage metabolism.
Lu S, Li J, Li Y et al.. (2025). "Succinate-loaded tumor cell-derived microparticles reprogram tumor-associated macrophage metabolism.". Science translational medicine. https://doi.org/10.1126/scitran
Go to full study ↗
📚 Scientific references (Chicago Author-Date) 19 refs · 3 baz

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

Sources: db:pubmed (15) · db:crossref (2) · db:arxiv (3)

  1. db:pubmed Xie L, Chen H, Zhang L et al.. (2026). "Suppressing MASH fibrotic progression by blocking succinate-GPR91 signaling in HSCs.". Hepatology (Baltimore, Md.). https://doi.org/10.1097/HEP.0000000000001405 →
  2. db:crossref (2026). "Cartoon / Vorschau". Leidfaden. https://doi.org/10.13109/leid.2026.15.3.110 →
  3. db:pubmed Pålsson-McDermott EM, O'Neill LAJ. (2025). "Gang of 3: How the Krebs cycle-linked metabolites itaconate, succinate, and fumarate regulate macrophages and inflammation.". Cell metabolism. https://doi.org/10.1016/j.cmet.2025.03.004 →
  4. db:pubmed Liang L, Kuang X, He Y et al.. (2025). "Alterations in PD-L1 succinylation shape anti-tumor immune responses in melanoma.". Nature genetics. https://doi.org/10.1038/s41588-025-02077-6 →
  5. db:pubmed Wang H, Hu D, Cheng Y et al.. (2025). "Succinate drives gut inflammation by promoting FOXP3 degradation through a molecular switch.". Nature immunology. https://doi.org/10.1038/s41590-025-02166-y →
  6. db:pubmed Wang C, Yu X, Yu X et al.. (2025). "Gut flora-derived succinate exacerbates Allergic Airway Inflammation by promoting protein succinylation.". Redox biology. https://doi.org/10.1016/j.redox.2025.103623 →
  7. db:pubmed Ma K, Cheng H, Wang L et al.. (2025). "Succinate preserves CD8(+) T cell fitness to augment antitumor immunity.". Immunity. https://doi.org/10.1016/j.immuni.2025.07.017 →
  8. db:pubmed Lu S, Li J, Li Y et al.. (2025). "Succinate-loaded tumor cell-derived microparticles reprogram tumor-associated macrophage metabolism.". Science translational medicine. https://doi.org/10.1126/scitranslmed.adr4458 →
  9. db:pubmed Nengroo MA, Klein AT, Carr HS et al.. (2025). "Accumulation of succinate suppresses de novo purine synthesis through succinylation-mediated control of the mitochondrial folate cycle.". Molecular cell. https://doi.org/10.1016/j.molcel.2025.10.002 →
  10. db:pubmed Huang H, Li G, He Y et al.. (2024). "Cellular succinate metabolism and signaling in inflammation: implications for therapeutic intervention.". Frontiers in immunology. https://doi.org/10.3389/fimmu.2024.1404441 →
  11. db:pubmed Zhao X, Yang X, Du C et al.. (2024). "Up-regulated succinylation modifications induce a senescence phenotype in microglia by altering mitochondrial energy metabolism.". Journal of neuroinflammation. https://doi.org/10.1186/s12974-024-03284-4 →
  12. db:pubmed Rawal S, Randhawa V, Rizvi SHM et al.. (2024). "miR-369-3p ameliorates diabetes-associated atherosclerosis by regulating macrophage succinate-GPR91 signalling.". Cardiovascular research. https://doi.org/10.1093/cvr/cvae102 →
  13. db:pubmed Han G, Cui M, Lu P et al.. (2024). "Selective translation of nuclear mitochondrial respiratory proteins reprograms succinate metabolism in AML development and chemoresistance.". Cell stem cell. https://doi.org/10.1016/j.stem.2024.09.008 →
  14. db:arxiv Glenn Wagner, Chunyu Guo, Philip J. W. Moll et al.. (2023). "Phenomenology of bond and flux orders in kagome metals". arXiv (2307.02528v2). https://doi.org/10.1103/physrevb.108.125136 →
  15. db:pubmed Ben-Arosh H, Avraham R. (2023). "Tissue-specific macrophage immunometabolism.". Current opinion in immunology. https://doi.org/10.1016/j.coi.2023.102369 →
  16. db:pubmed Shen T, Lin R, Hu C et al.. (2023). "Succinate-induced macrophage polarization and RBP4 secretion promote vascular sprouting in ocular neovascularization.". Journal of neuroinflammation. https://doi.org/10.1186/s12974-023-02998-1 →
  17. db:arxiv Qinqin Wang, Jian Tang, Xiaomei Li et al.. (2022). "Layer-by-Layer Epitaxy of Multilayer MoS2 Wafers". arXiv (2203.09720v1). https://doi.org/10.1093/nsr/nwac077 →
  18. db:arxiv M. Bozkurt, M. R. Mahani, P. Studer et al.. (2013). "Magnetic Anisotropy of Single Mn Acceptors in GaAs in an External Magnetic Field". arXiv (1304.3303v2). https://doi.org/10.1103/physrevb.88.205203 →
  19. db:crossref (2011). "Clúdach: Cover". New Hibernia Review. https://doi.org/10.1353/nhr.2011.0038 →
Regulatory status of the substance
This substance is subject to regulatory requirements: hazardous waste management (BDO register). Details in the \"Regulatory Status (REACH/ECHA/CLP)\" section and on the SDS. Regulatory information — does not restrict purchase in this store.
🧮 Stoichiometry CalculatorMolGod_STOICH_1
🧪 Chemical DataMolGod_CHEMDATA_1
CAS Number
110-15-6
Molecular formula
C4H6O4
Molar mass
118.09 g/mol
IUPAC name (EN)
butanedioic acid
SMILES
C(CC(=O)O)C(=O)O
InChIKey
KDYFGRWQOYBRFD-UHFFFAOYSA-N
📚 Scientific literature (4 articles)MolGod_LITSCI_1
Filter:
Sort:
📈 Publication timeline
2020
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2025
📡 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. topnienia
185.9
Density
1.572

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

🔍 External identifiersMolGod_EXTID_1
15 of 16 ID systems94%
DatabaseIdentifierActions
CAS Registry Number110-15-6Open →
PubChem CID1110[1]Open →
InChIKeyKDYFGRWQOYBRFD-UHFFFAOYSA-N[1]Open →
InChIInChI=1S/C4H6O4/c5-3(6)1-2-4(7)8/h1-2H2,(H,5,6)(…[1]
SMILESC(CC(=O)O)C(=O)O[1]
EC Number203-740-4[2]Open →
ChEMBLCHEMBL576[3]Open →
DrugBankDB00139Open →
KEGG CompoundC00042Open →
HMDBHMDB0000254Open →
ChemSpider1078[4]Open →
MeSH UID (NLM)D019802Open →
UNII (FDA)AB6MNQ6J6LOpen →
NSC Number (NCI)25949Open →
WikiData QIDQ213050Open →

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

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

Dalsza literatura

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

Extended Bibliography (1)

  1. ★★★★☆ CANONICAL_PAPERS 💰 Paywall (probable) ✓ verified Jung Y; Song JS; Ahn S. 2022. "Pharmacokinetics and Tissue Distribution of (13)C-Labeled Succinic Acid in Mice." Nutrients. link [accessed: 2026-11-07]
📡 Spectroscopy — CAS 110-15-6MolGod_SPECHUB_MAIN
📊 Spectra (NMR, IR, MS, UV-Vis) (1)

Available spectrum types: IR

IR spectrum (KBr, 4000-400 cm⁻¹)

440 data points · Source: NIST WebBook · NIST ↗ · 📥 JCAMP-DX
🎓 Spectrum interpretation guide (for students)
How to read an IR spectrum
  • 3200-3600 cm⁻¹ — O-H stretch (broad peak = hydrogen bonding)
  • 2850-3000 cm⁻¹ — C-H stretch (sp³)
  • 1650-1750 cm⁻¹ — C=O stretch (ketones, aldehydes, esters)
  • 1400-1600 cm⁻¹ — aromatic ring vibrations
  • 1000-1300 cm⁻¹ — C-O stretch (ethers, alcohols)
  • No absorption = no functional group → compare with a reference

Sources: LibreTexts ↗, Silverstein (Spectrometric ID) ↗

📚 Scientific references (Chicago Author-Date) (7 sources)
  1. National Institute of Standards and Technology. 2024. "NIST Chemistry WebBook, SRD 69." Gaithersburg, MD: NIST. Accessed 2025-01-01. ↗
  2. Spectral Database for Organic Structure Determination (SDBS). 2024. National Institute of Advanced Industrial Science and Technology (AIST), Japan. Accessed 2025-01-01. ↗
  3. Ulrich, Eldon L., Hideo Akutsu, John F. Doreleijers, Yoko Harano, Yannis E. Ioannidis, Jundong Lin, Miron Livny, et al. 2008. "BioMagResBank." Nucleic Acids Research 36 (D1): D402–D408. [DOI ↗]
  4. Horai, Hisayuki, Masanori Arita, Shigehiko Kanaya, Yoshito Nihei, Tasuku Ikeda, Kazuhiro Suwa, Yuya Ojima, et al. 2010. "MassBank: A Public Repository for Sharing Mass Spectral Data for Life Sciences." Journal of Mass Spectrometry 45 (7): 703–714. [DOI ↗]
  5. Linstrom, P.J., and W.G. Mallard, eds. 2024. NIST Chemistry WebBook, NIST Standard Reference Database Number 69. Gaithersburg, MD: National Institute of Standards and Technology. ↗
  6. McDonald, M. Shane, Mike McAvoy, and Ajit Bhalerao. 1988. "JCAMP-DX: A Standard Form for Exchange of Infrared Spectra in Computer Readable Form." Applied Spectroscopy 42 (1): 151–162. [DOI ↗]
  7. PubChem. 2024. "PubChem Compound Database." National Library of Medicine, National Institutes of Health. Accessed 2025-01-01. ↗
Structural propertiesMolGod_STRUCT3D_1

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❓ Frequently asked questions (3)MolGod_FAQ_1
What is 110-15-6?
110-15-6 (CAS 110-15-6) is a chemical compound. The chemical data comes from PubChem (National Institutes of Health, USA).
Helpful?
What is the CAS number of 110-15-6?
The CAS number for 110-15-6 is 110-15-6. A CAS Registry Number is the standard identifier for a chemical substance in scientific literature and in trade.
Helpful?
How should 110-15-6 be stored?
110-15-6 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.
Helpful?
➕ Suggest a question
Download structure filesMolGod_STRDL_1

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

Source: PubChem, National Library of Medicine (NIH). CID: 1110

🔄 Concentration unit converter LIVE MolGod_UNITCONV_1

Enter the Succinic Acid concentration in any unit — the rest will be calculated automatically.

MW: 118.09 g/mol · IUPAC Gold Book ↗

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

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

Computational chemistryMolGod_COMPCHEM_1

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🛡️ Safety — CAS 110-15-6MolGod_SAFEHUB_MAIN
Data limitations notice. The safety information on this page is for reference only and does not replace a full safety data sheet (SDS). Before using the product, consult the manufacturer's current safety data sheet and the GHS/CLP guidance. The CLP classification applies to the pure bulk substance, not to commercial formulations.

GHS/CLP classification — Regulation (EC) No 1272/2008 + UN GHS Rev. 9 (2021).

⚠️ Danger
GHS05 — Corrosive
GHS05 Corrosive

🚨 Hazard statements (H)

  • H318 — Causes serious eye damage

🛡 Precautionary statements (P)

  • P264 — Wash thoroughly after handling

⚠ Classification based on a consensus of sources (PubChem / supplier notifications) — not verified against the harmonised classification in Annex VI (CLP). The scope of hazards may be broader than the official classification; verify against the supplier's current safety data sheet before use.

Translations: CLP Regulation (EC) 1272/2008, Annexes III and IV. Data: PubChem/NLM.

📚 Consolidated scientific references — Chicago Author-Date 10 sources

References collected from all Safety Hub tabs. CAS: 110-15-6 · PubChem ↗

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

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

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

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

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

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

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

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

Step 1: Choose a buffer system

📜 Recipe history (last 10)
Pharmacological Status

Badania kliniczne Faza 3

Phase I
Phase II
Phase III
Approved

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

ChEMBL CHEMBL576 ↗

📅 Project Planner — Lab Experiment Manager NEW

Plan your entire laboratory project: add experiments with reagents, replicates, and duration. You'll get a Gantt chart, a shopping list (with links to the store!), a budget with a 10% margin, and a GHS risk matrix.

🧪 Solubility and solvent compatibility MolGod_SOLUB_1
Molecule
Succinic Acid
Formula
C4H6O4
logP (XLogP3)
-0.60
Mass (g/mol)
118.09
Polarity
Hydrophilic (polar)

⚠️ HSP estimate (literature / group contribution). Indicative data — does not replace experimental studies.

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

Solvent Compat. Ra Visual GC-MS HPLC Applications References
Water (H₂O)83.2 g/L (pomiar)20.8
✗ NieA (aqueous) (RP)
buffercell cultureanalyticalextraction (hydrophilic)
Ethanol (EtOH)+ Good7.9
✗ NieA/B modifier (RP/NP)
extractionspectroscopy (UV-Vis)synthesisHPLC modifier
Methanol (MeOH)+ Good8.0
✗ NieA/B (RP) (RP)
HPLC (eluent)LC-MSKarl FischerUV-transparent to 205 nm
Acetone− Poor17.8
✗ NieB modifier (NP)
GC headspacecrystallisationdegreasingsynthesis
Acetonitrile (ACN)− Poor20.1
✗ NieB (RP) (RP)
HPLC eluent (gold standard)LC-MS (low UV cut-off, 190 nm)peptide analysis
DMSO− Poor14.3
✗ NieN/A (N/A)
NMR (d6-DMSO)cell biology (cryopreservation)drug deliverysynthesis
THF− Poor16.9
✗ NieB (NP) (NP)
GPC/SEC (polymer analysis)Grignard synthesisorganometallics
DCM (CH₂Cl₂)− Poor18.0
✓ TakB (NP) (NP)
extractionNP-HPLCGC-MScrystallisation (anti-solvent)
Chloroform (CHCl₃)− Poor19.5
✓ TakN/A (toxic) (N/A)
NMR (CDCl3)lipid extraction (Folch method)NP-TLC
Hexane− Poor27.1
✓ TakA (NP) (NP)
NP-HPLCoil extraction (lipids)GC-MSTLC (NP)
Toluene− Poor23.5
✓ TakB (NP) (NP)
NMR (d8-toluene)synthesisazeotropic drying (Dean-Stark)
📚 Scientific references for solvents (Chicago Author-Date) — click to expand

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

Water (H₂O)
  1. NIST — NIST Chemistry WebBook — Water (CAS 7732-18-5)
  2. CRC — CRC Handbook of Chemistry and Physics, 104th ed., Sec. 8 (Properties of Water)
  3. IAPWS — IAPWS Release on Static Dielectric Constant of Water
  4. Reichardt 2011 — Solvents and Solvent Effects in Organic Chemistry
  5. GESTIS — GESTIS Substance Database — Water
Ethanol (EtOH)
  1. NIST — NIST Chemistry WebBook — Ethanol (CAS 64-17-5)
  2. CRC — CRC Handbook — Ethanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — Ethanol eluotropic
  4. Smallwood — Handbook of Organic Solvent Properties — Ethanol
  5. GESTIS — GESTIS Substance Database — Ethanol
Methanol (MeOH)
  1. NIST — NIST Chemistry WebBook — Methanol (CAS 67-56-1)
  2. CRC — CRC Handbook — Methanol physical constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — MeOH eluotropic, eo=0.95
  4. GESTIS — GESTIS Substance Database — Methanol
Acetone
  1. NIST — NIST Chemistry WebBook — Acetone (CAS 67-64-1)
  2. CRC — CRC Handbook — Acetone physical & thermodynamic constants
  3. Hansen 2007 — Hansen Solubility Parameters — Acetone (dD=15.5, dP=10.4, dH=7.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Acetone
  5. GESTIS — GESTIS Substance Database — Acetone
Acetonitrile (ACN)
  1. NIST — NIST Chemistry WebBook — Acetonitrile (CAS 75-05-8)
  2. CRC — CRC Handbook — Acetonitrile constants
  3. Snyder & Kirkland — Modern Liquid Chromatography — ACN gold-standard HPLC eluent
  4. Reichardt 2011 — Solvents and Solvent Effects — ACN dipolar aprotic
  5. GESTIS — GESTIS Substance Database — Acetonitrile
DMSO
  1. NIST — NIST Chemistry WebBook — DMSO (CAS 67-68-5)
  2. Wypych 2019 — Handbook of Solvents Vol. 1 — DMSO comprehensive properties
  3. Hansen 2007 — HSP — DMSO (dD=18.4, dP=16.4, dH=10.2)
  4. Reichardt 2011 — Solvents and Solvent Effects — DMSO E_T(30)=45.1, dipolar aprotic
  5. GESTIS — GESTIS Substance Database — DMSO
THF
  1. NIST — NIST Chemistry WebBook — THF (CAS 109-99-9)
  2. Armarego 2009 — Purification of Laboratory Chemicals — THF drying & peroxide test
  3. Hansen 2007 — Hansen Solubility Parameters — THF (dD=16.8, dP=5.7, dH=8.0)
  4. Smallwood — Handbook of Organic Solvent Properties — THF
  5. GESTIS — GESTIS Substance Database — Tetrahydrofuran
DCM (CH₂Cl₂)
  1. NIST — NIST Chemistry WebBook — Dichloromethane (CAS 75-09-2)
  2. IARC 71 — IARC Monograph 71 — DCM (Group 2A carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — DCM (dD=18.2, dP=6.3, dH=6.1)
  4. Reichardt 2011 — Solvents and Solvent Effects — DCM polarity index
  5. GESTIS — GESTIS Substance Database — Dichloromethane
Chloroform (CHCl₃)
  1. NIST — NIST Chemistry WebBook — Chloroform (CAS 67-66-3)
  2. IARC 73 — IARC Monograph 73 — Chloroform (Group 2B carcinogen)
  3. Hansen 2007 — Hansen Solubility Parameters — CHCl3 (dD=17.8, dP=3.1, dH=5.7)
  4. Reichardt 2011 — Solvents and Solvent Effects — CHCl3 H-bond donor strength
  5. GESTIS — GESTIS Substance Database — Chloroform
n-Hexane
  1. NIST — NIST Chemistry WebBook — n-Hexane (CAS 110-54-3)
  2. ATSDR n-Hexane — ATSDR Toxicological Profile for n-Hexane — neuropatia obwodowa (n-Heksan NIE jest kancerogenem IARC)
  3. Hansen 2007 — Hansen Solubility Parameters — n-Hexane (dD=14.9, dP=0, dH=0)
  4. Snyder & Kirkland — Modern Liquid Chromatography — n-Hexane NP standard, eo=0.00
  5. GESTIS — GESTIS Substance Database — n-Hexane
Toluene
  1. NIST — NIST Chemistry WebBook — Toluene (CAS 108-88-3)
  2. IARC 71 — IARC Monograph 71 — Toluene
  3. Hansen 2007 — Hansen Solubility Parameters — Toluene (dD=18.0, dP=1.4, dH=2.0)
  4. Smallwood — Handbook of Organic Solvent Properties — Toluene
  5. GESTIS — GESTIS Substance Database — Toluene
Solubility theory (applied in compatibility prediction):
  1. Yalkowsky, Samuel H., and Shri C. Valvani. 1980. "Solubility and Partitioning I: Solubility of Nonelectrolytes in Water." Journal of Pharmaceutical Sciences 69 (8): 912–922. https://doi.org/10.1002/jps.2600690814 — General Solubility Equation (GSE): logS = 0.5 − logP − 0.01(MP−25).
  2. Hansen, Charles M. 2007. Hansen Solubility Parameters: A User's Handbook. 2nd ed. CRC Press. https://doi.org/10.1201/9781420006834 — HSP triplet (dD, dP, dH) + Ra formula.
  3. Stefanis, E., and C. Panayiotou. 2008. "Prediction of Hansen Solubility Parameters with a New Group-Contribution Method." Int J Thermophys 29: 568–585. https://doi.org/10.1007/s10765-008-0415-z
  4. Reichardt, Christian, and Thomas Welton. 2011. Solvents and Solvent Effects in Organic Chemistry. 4th ed. Wiley-VCH. https://doi.org/10.1002/9783527632220 — E_T(30) polarity scale, solwatochromia.
  5. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. Introduction to Modern Liquid Chromatography. 3rd ed. Wiley. https://doi.org/10.1002/9780470508183 — Eluotropic series, polarity index.
  6. Van Krevelen, D. W., and K. Te Nijenhuis. 2009. Properties of Polymers. 4th ed. Elsevier. https://doi.org/10.1016/B978-0-08-054819-7.X0001-5 — Hoftyzer–Van Krevelen group contribution dla dD/dP/dH z SMILES.
  7. Marcus, Yizhak. 1998. The Properties of Solvents. Wiley Series in Solution Chemistry, Vol. 4. ISBN 9780471983699 — Complete tabular set of 250+ solvents (ε, μ, donicity, acceptor numbers).
  8. PubChem Compound Database — CAS 110-15-6 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

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

⚗️ Check reaction compatibility MolGod_RXNCOMP_1
0 0 0
Health: 0/4
Flammability: 0/4
Reactivity: 0/4
Per NFPA 704 / calculated from H-codes

Check whether Succinic Acid is compatible with another reagent

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

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

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

Verified formulas: IUPAC Gold Book ↗, DOI ↗

📊 Spectroscopic Databases MolGod_SPECDB_3
📋 Laboratory protocol generator MolGod_PROTOCOL_1

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

🏷️ Label generator (QR) MolGod_LABEL_1
Succinic acid• butanedioic acid / Amber acid• IUPAC: butanedioic acid• CAS: 110-15-6• EC: 203-740-4• Formula: C4H6O4• Mass: 118.09 g/molDANGERGHS HAZARD STATEMENTS:(supplier self-classification — non-binding)H318: Causes serious eye damageP264: Wash thoroughly after handlingFOR LABORATORY USE ONLY!Anhui Eapearl Chemical Co., Ltd.12th Floor, Tongguan Number Valley, Tongling, Anhui, China+86 186 5620 1888[email protected]epchems.com
Deskryptory Lipinskiego (struktura)

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

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

MW118.1LogP-0.6HBD2HBA4RotB3TPSA74.6 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (MW=118, LogP=-0.6)✗ REOS (MW=118)✗ Lead-like Ro3 (HBA=4)
PropertyValueRating
Absorption (GI)high✓
BBB permeabilityyes (crosses)
Bioavailability (Daina 2017)
55%
CYP450 profileCYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
PAINS alerts0✓
Brenk alerts0✓
pKa (pH 7.4)4.5 (predicted)
hERG (cardiotox.)✓ no
P-gp substrate—
Ames mutagenicity✓ no
DILI (hepatotox.)—
LogS (aq. solub.)—
Sources (ADMET methodology)
  1. Lipinski, Christopher A., Franco Lombardo, Beryl W. Dominy, and Paul J. Feeney. 1997. "Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings." Advanced Drug Delivery Reviews 23 (1-3): 3-25.
  2. Veber, Daniel F., Stephen R. Johnson, Hung-Yuan Cheng, et al. 2002. "Molecular properties that influence the oral bioavailability of drug candidates." Journal of Medicinal Chemistry 45 (12): 2615-2623.
  3. Daina, Antoine, Olivier Michielin, and Vincent Zoete. 2017. "SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness." Scientific Reports 7: 42717.
  4. Egan, William J., and Gregory Lauri. 2002. "Prediction of intestinal permeability." Advanced Drug Delivery Reviews 54 (3): 273-289.
  5. Baell, Jonathan B., and Georgina A. Holloway. 2010. "New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries." Journal of Medicinal Chemistry 53 (7): 2719-2740.
  6. Brenk, Ruth, Alessandro Schipani, Daniel James, et al. 2008. "Lessons learnt from assembling screening libraries for drug discovery for neglected diseases." ChemMedChem 3 (3): 435-444.
  7. Ertl, Peter, and Ansgar Schuffenhauer. 2009. "Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions." Journal of Cheminformatics 1: 8.
  8. Bickerton, G. Richard, Gaia V. Paolini, Jérémy Besnard, Sorel Muresan, and Andrew L. Hopkins. 2012. "Quantifying the Chemical Beauty of Drugs." Nature Chemistry 4 (2): 90-98.
  9. Hopkins, Andrew L., and Colin R. Groom. 2002. "The Druggable Genome." Nature Reviews Drug Discovery 1 (9): 727-730.
  10. Ghose, Arup K., Vellarkad N. Viswanadhan, and John J. Wendoloski. 1999. "A Knowledge-Based Approach in Designing Combinatorial or Medicinal Chemistry Libraries for Drug Discovery." Journal of Combinatorial Chemistry 1 (1): 55-68.
  11. Tice, Raymond R., Christopher P. Austin, Robert J. Kavlock, and John R. Bucher. 2013. "Improving the Human Hazard Characterization of Chemicals: A Tox21 Update." Environmental Health Perspectives 121 (7): 756-765.
  12. Leeson, Paul D., and Brian Springthorpe. 2007. "The Influence of Drug-Like Concepts on Decision-Making in Medicinal Chemistry." Nature Reviews Drug Discovery 6 (11): 881-890.
  13. Hann, Michael M. 2011. "Molecular Obesity, Potency and Other Addictions in Drug Discovery." MedChemComm 2 (5): 349-355.
  14. Davies, Mark, Michał Nowotka, George Papadatos, et al. 2015. "ChEMBL Web Services: Streamlining Access to Drug Discovery Data and Utilities." Nucleic Acids Research 43 (W1): W612-W620.
  15. Walters, W. Patrick, and Mark A. Murcko. 2002. "Prediction of 'Drug-Likeness.'". Advanced Drug Delivery Reviews 54 (3): 255–271. https://doi.org/10.1016/S0169-409X(02)00003-0.
  16. Congreve, Miles, Robin Carr, Christopher Murray, and Harren Jhoti. 2003. "A 'Rule of Three' for Fragment-Based Lead Discovery?" Drug Discovery Today 8 (19): 876–877. https://doi.org/10.1016/S1359-6446(03)02831-9.
  17. Brenk, Ruth, Alessandro Schipani, Daniel James, Agata Krasowski, Iain Hugh Gilbert, Julie Frearson, and Paul Graham Wyatt. 2008. "Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases." ChemMedChem 3 (3): 435-444.
  18. Schomburg, Karen T., Sascha Bietz, Hans Briem, Andrea M. Henzler, Stefan Urbaczek, and Matthias Rarey. 2014. "Facing the Challenges of Structure-Based Target Prediction by Inverse Virtual Screening." Journal of Chemical Information and Modeling 54 (6): 1676-1686.
  19. Bemis, Guy W., and Mark A. Murcko. 1996. "The Properties of Known Drugs. 1. Molecular Frameworks." Journal of Medicinal Chemistry 39 (15): 2887-2893.
  20. Schomburg, Karen T., and Matthias Rarey. 2014. "What Is the Potential of Structure-Based Target Prediction Methods?" Future Medicinal Chemistry 6 (17): 1987-1989.
  21. Xie L, Chen H, Zhang L et al.. (2026). "Suppressing MASH fibrotic progression by blocking succinate-GPR91 signaling in HSCs.". Hepatology (Baltimore, Md.). https://doi.org/10.1097/HEP.0000000000001405
  22. (2026). "Cartoon / Vorschau". Leidfaden. https://doi.org/10.13109/leid.2026.15.3.110
  23. Pålsson-McDermott EM, O'Neill LAJ. (2025). "Gang of 3: How the Krebs cycle-linked metabolites itaconate, succinate, and fumarate regulate macrophages and inflammation.". Cell metabolism. https://doi.org/10.1016/j.cmet.2025.03.004
  24. Liang L, Kuang X, He Y et al.. (2025). "Alterations in PD-L1 succinylation shape anti-tumor immune responses in melanoma.". Nature genetics. https://doi.org/10.1038/s41588-025-02077-6
  25. Wang H, Hu D, Cheng Y et al.. (2025). "Succinate drives gut inflammation by promoting FOXP3 degradation through a molecular switch.". Nature immunology. https://doi.org/10.1038/s41590-025-02166-y
  26. Wang C, Yu X, Yu X et al.. (2025). "Gut flora-derived succinate exacerbates Allergic Airway Inflammation by promoting protein succinylation.". Redox biology. https://doi.org/10.1016/j.redox.2025.103623
  27. Ma K, Cheng H, Wang L et al.. (2025). "Succinate preserves CD8(+) T cell fitness to augment antitumor immunity.". Immunity. https://doi.org/10.1016/j.immuni.2025.07.017
  28. Lu S, Li J, Li Y et al.. (2025). "Succinate-loaded tumor cell-derived microparticles reprogram tumor-associated macrophage metabolism.". Science translational medicine. https://doi.org/10.1126/scitranslmed.adr4458
  29. Nengroo MA, Klein AT, Carr HS et al.. (2025). "Accumulation of succinate suppresses de novo purine synthesis through succinylation-mediated control of the mitochondrial folate cycle.". Molecular cell. https://doi.org/10.1016/j.molcel.2025.10.002
  30. Huang H, Li G, He Y et al.. (2024). "Cellular succinate metabolism and signaling in inflammation: implications for therapeutic intervention.". Frontiers in immunology. https://doi.org/10.3389/fimmu.2024.1404441
  31. Zhao X, Yang X, Du C et al.. (2024). "Up-regulated succinylation modifications induce a senescence phenotype in microglia by altering mitochondrial energy metabolism.". Journal of neuroinflammation. https://doi.org/10.1186/s12974-024-03284-4
  32. Rawal S, Randhawa V, Rizvi SHM et al.. (2024). "miR-369-3p ameliorates diabetes-associated atherosclerosis by regulating macrophage succinate-GPR91 signalling.". Cardiovascular research. https://doi.org/10.1093/cvr/cvae102
  33. Han G, Cui M, Lu P et al.. (2024). "Selective translation of nuclear mitochondrial respiratory proteins reprograms succinate metabolism in AML development and chemoresistance.". Cell stem cell. https://doi.org/10.1016/j.stem.2024.09.008
  34. Glenn Wagner, Chunyu Guo, Philip J. W. Moll et al.. (2023). "Phenomenology of bond and flux orders in kagome metals". arXiv (2307.02528v2). https://doi.org/10.1103/physrevb.108.125136
  35. Ben-Arosh H, Avraham R. (2023). "Tissue-specific macrophage immunometabolism.". Current opinion in immunology. https://doi.org/10.1016/j.coi.2023.102369
  36. Shen T, Lin R, Hu C et al.. (2023). "Succinate-induced macrophage polarization and RBP4 secretion promote vascular sprouting in ocular neovascularization.". Journal of neuroinflammation. https://doi.org/10.1186/s12974-023-02998-1
  37. Qinqin Wang, Jian Tang, Xiaomei Li et al.. (2022). "Layer-by-Layer Epitaxy of Multilayer MoS2 Wafers". arXiv (2203.09720v1). https://doi.org/10.1093/nsr/nwac077
  38. M. Bozkurt, M. R. Mahani, P. Studer et al.. (2013). "Magnetic Anisotropy of Single Mn Acceptors in GaAs in an External Magnetic Field". arXiv (1304.3303v2). https://doi.org/10.1103/physrevb.88.205203
  39. (2011). "Clúdach: Cover". New Hibernia Review. https://doi.org/10.1353/nhr.2011.0038
  40. 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 ↗]
  41. Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. [DOI ↗]
  42. Kim, Sunghwan, Tiejun Cheng, Jianyong He, Chen Cheng, et al. 2021. "PubChem Protein, Pathway, Reaction, and Disease Specifications." Journal of Cheminformatics 13: 16. [DOI ↗]
  43. Hähnke, Volker D., Sunghwan Kim, and Evan E. Bolton. 2018. "PubChem chemical structure standardization." Journal of Cheminformatics 10: 36. [DOI ↗]
  44. Wang, Yanli, Stephen H. Bryant, Tiejun Cheng, Jiyao Wang, et al. 2017. "PubChem BioAssay: 2017 update." Nucleic Acids Research 45 (D1): D955-D963. [DOI ↗]
  45. 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 ↗]
  46. 2013. "Copper = Leslie M. Klevay." https://doi.org/10.1201/B13959-20. [DOI ↗]
  47. 2013. "Dong Quai." https://doi.org/10.1201/B14669-29. [DOI ↗]
  48. Wilkinson, Mark D., et al. 2016. "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018. [DOI ↗]
  49. Hersey, Anne, et al. 2015. "Chemical databases: curation or integration by user-defined equivalence?" Drug Discovery Today: Technologies 14: 17-24.
  50. 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.
  51. ECHA. 2024. "REACH Guidance." European Chemicals Agency. ↗
  52. Groom, Colin R., Ian J. Bruno, Matthew P. Lightfoot, and Suzanna C. Ward. 2016. "The Cambridge Structural Database." Acta Crystallographica Section B 72 (2): 171-179. ↗
🧪 Solution preparation assistant (Smart Prep) MolGod_PREP_2

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

Examples below — click to insert:
Preset recipes:
📚 Scientific literature overview — CAS 110-15-6MolGod_LITHUB_MAIN
⭐ Key findings (scientific literature) 17 publications
🏆 CAS 110-15-6 — multi-criteria ranking (W12): 30% citations · 20% recency · 20% topic · 15% historical · 15% open access.
  1. #1
    Triya Mukherjee; Venkata Mohan S. (2025) · ChemSusChem
    Why it matters: Recent (2025)
    SCORE 8.9 Mechanism Citations: 1 DOI ↗ PubMed ↗
  2. #2
    et al. (2025) · Journal of Molecular Graphics and Modelling
    Why it matters: Recent (2025) · open access
    SCORE 7.85 Mechanism Open Access DOI ↗ PubMed ↗
  3. #3
    et al. (2020) · PLOS ONE
    Why it matters: Open access
    SCORE 7.58 Industrial Citations: 5 Open Access DOI ↗ PubMed ↗
  4. #4
    S.K.Amjath Kudos, S. Madhan Kumar, Binisha B et al. (2024)
    Why it matters: Recent (2024) · open access
    SCORE 7.05 Mechanism Open Access DOI ↗
  5. #5
    Jung Y; Song JS; Ahn S (2022) · Nutrients
    Why it matters: Must-cite (canon)
    SCORE 5.2 Pharmacology MUST-CITE DOI ↗
  6. #6
    Chen W, Xiao J, Zhou Y et al. (2024) · Phytomedicine : international journal of phytotherapy and phytopharmacology
    Why it matters: Recent (2024)
    SCORE 4.8 Pharmacology DOI ↗ PubMed ↗
  7. #7
    Kleps C; Malchow R; Ettinger J et al. (2025) · New biotechnology
    Why it matters: Must-cite (canon) · recent (2025)
    SCORE 4 Industrial MUST-CITE DOI ↗
  8. #8
    Yong-Soon Kim Yong-Soon Kim, Dae-Sik Rha Dae-Sik Rha (2024) · The Korean Society for Veterinary Nursing
    Why it matters: Recent (2024)
    SCORE 4 Pharmacology DOI ↗
  9. #9
    Cai Y, Chen Z, Chen E et al. (2024) · Inflammation
    Why it matters: Recent (2024)
    SCORE 4 Mechanism DOI ↗ PubMed ↗
  10. #10
    W. C. McCrone, Ralph. Hites (1954) · Analytical Chemistry
    Why it matters: Historical paper (1954)
    SCORE 3.92 Historical Citations: 10 DOI ↗
  11. #11
    Wang C; Su X; Sun W et al. (2018) · Bioresource technology
    Why it matters: Must-cite (canon)
    SCORE 2.4 Industrial MUST-CITE DOI ↗
  12. #12
    Alexandri M; Papapostolou H; Stragier L et al. (2017) · Bioresource technology
    Why it matters: Must-cite (canon)
    SCORE 2.1 Industrial MUST-CITE DOI ↗
  13. #13
    (2017) · ACS Reagent Chemicals
    Why it matters: Selected by multi-criteria score (citations + recency + topic + historical + OA).
    SCORE 2.1 Mechanism DOI ↗
  14. #14
    (2017) · ACS Reagent Chemicals
    Why it matters: Selected by multi-criteria score (citations + recency + topic + historical + OA).
    SCORE 2.1 Mechanism DOI ↗
  15. #15
    (2017) · ACS Reagent Chemicals
    Why it matters: Selected by multi-criteria score (citations + recency + topic + historical + OA).
    SCORE 2.1 Mechanism DOI ↗
  16. #16
    (2017) · ACS Reagent Chemicals
    Why it matters: Selected by multi-criteria score (citations + recency + topic + historical + OA).
    SCORE 2.1 Mechanism DOI ↗
  17. #17
    Method for producing butanol and butanedioic acid by fermentation
    et al. (2008)
    Why it matters: Selected by multi-criteria score (citations + recency + topic + historical + OA).
    SCORE 0 Mechanism
🔬 HPLC — methods & parameters — CAS 110-15-6MolGod_HPLCHUB_MAIN
📈 HPLC gradient — optimizer (LSS) TEMPLATE

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

  • Column: C18
  • Buffer: phosphate
  • Flow: 1 mL/min
  • logP: -0.6 (PubChem XLogP3)
  • Ramp: 5% → 95% B, 10 min
  • Total analysis time: 23 min
t (min) %A %B flow (mL/min) Comment
0 95 5 1 start (equilibrium)
2 95 5 1 end of initial hold
12 5 95 1 end of LSS ramp
17 5 95 1 column wash
18 95 5 1 return to init
23 95 5 1 re-equilibration
📚 Scientific references (Chicago Author-Date)
  1. Snyder, Lloyd R., John W. Dolan, and Joseph J. Kirkland. 2010. Introduction to Modern Liquid Chromatography. Wiley. — Chapter 9 — gradient elution, LSS theory (cited as Snyder et al. 2010 in tool description).
  2. Schoenmakers, Peter J. 1986. Optimization of Chromatographic Selectivity: A Guide to Method Development. Elsevier. — Numerical optimization of gradient programs.
  3. Snyder, L. R., and J. W. Dolan. 2007. High-Performance Gradient Elution: The Practical Application of the Linear-Solvent-Strength Model. Wiley. — Foundational LSS reference for the %B_init = 5 + 8·logP heuristic implemented here.
  4. Nikitas, Pavlos, and Adrian Pappa-Louisi. 2009. "Retention models for isocratic and gradient elution in reversed-phase liquid chromatography." Journal of Chromatography A 1216: 1737-1755. [DOI ↗] — Modern review of gradient retention models — basis for non-LSS extensions.
  5. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." Journal of Chromatography A 1216: 1764-1772. [DOI ↗]
  6. Dong, Michael W. 2019. HPLC and UHPLC for Practicing Scientists. Wiley. https://doi.org/10.1002/9781119313793. — Modern UHPLC gradient programming, sub-2 µm scaling rules.
  7. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." Journal of Separation Science 30: 1167-1182. [DOI ↗]
  8. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531. [DOI ↗] — Reference for orthogonal gradient design (2D-LC second dimension).
  9. Dolan, John W.. 2013. "When to Modify Method Conditions." LCGC North America 31: 192-199.
  10. Meyer, Veronika R. 2010. Practical High-Performance Liquid Chromatography. Wiley. — Chapter 7 — practical gradient design with isokratyczny scouting.

REST: /wp-json/molgod/v1/hplc/gradient/110-15-6

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

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

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

REST: /wp-json/molgod/v1/hplc/column/110-15-6

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

Detector: UV — compatible with both solvents.

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

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

Complete HPLC Method Guide Peer-Reviewed

Molecule-specific scenarios, troubleshooting, and literature references

Molecular Predictor

The predicted parameters for this molecule (CAS 110-15-6) are based on literature-backed models (Snyder-Dolan LSS, Neue pore-size rules).

Retention Time
-0.3 min
Range: 0.5 – -0.39
confidence: medium
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
= 4.234 mM
confidence: high
Safe linear range detektora UV (nie przekroczy 1.5 AU)
Buffer pH
2
Range: 1.5 – 2.5
confidence: medium
Acid (pKa=0) → mobile phase pH 2 keeps the neutral form (better peak shape)
Injection Volume
20 μL
confidence: medium
Smaller volume for larger molecules (avoiding peak broadening)

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

Real Chemist Problem

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?

How We Solve This

1

Exact Solvent List

Name + CAS + Grade + Role in method

2

Grade Explanations

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

3

Consumption Calculator

4

Shopping List

One-click add to cart

Interactive Calculator

Deep Education

Understanding Mobile Phase Chemistry

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

H = A + B/u + Cu

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

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

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

Cost Savings Calculator

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

1. Solwenty — ACN vs MeOH

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

2. Kolumna — z guard vs bez

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

3. Method development — SOP vs scratch

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

4. Fast gradient (high-throughput) — ROI

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

Frequently Asked Questions

Dla logP=-0.6 rekomendacja zależy: jeśli logP<2 (polarny) → MeOH retencja wystarczy; logP≥2 (niepolarny) → ACN daje lepszy peak shape. Dla tej molekuły (MW=118.09, CAS 110-15-6) zaczynaj od ACN w gradiencie 5→95% B.

Source: Snyder LSS Model

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

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

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

Source: r/chemistry

Gradient Problem From The Lab

SPE dla matrix effect w plasma

Drug quantification in human plasma. Matrix suppresses 40%. Which SPE type (MCX / HLB / C18)?

Our Gradient Strategy

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

Gradient Visualizer

Gradient Timeline

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

Slope & Dwell Volume Test

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

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

Snyder-Dolan LSS Model

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

Frequently Asked Questions

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 butanedioic acid (logP=-0.6) → szacunkowe Rt=-0.30 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

How to prepare the mobile phase for the first time

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

Recommended Columns

A

Zorbax Eclipse Plus C18

150×4.6 mm · 3.5 μm · pH 2–9

B

Waters XBridge C18

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

C

Phenomenex Kinetex C18

100×4.6 mm · 2.6 μm core-shell · fast

Column Lifetime Rules

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

Frequently Asked Questions

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

Rule of thumb: analyty MW10000 (białka) → pore 1000 Å. Dla MW=118.09 (CAS 110-15-6) użyj standardowej kolumny C18 100 Å.

Source: Phenomenex Guide

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

Detection Gotcha

Pressure too high — what next?

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

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

Auto-dilution dla high-range samples

80% of samples in spec, 20% out-of-range (>120%). Manual re-dilution = 2h per day. How to automate it with the autosampler?

USP <621> + ICH Q2(R1) Criteria

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

Pre-Flight SST Checklist

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

Regulatory Compliance

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

USP <621> Chromatography Compliant

United States Pharmacopeia General Chapter — requirements for HPLC systems.

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

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

ICH Q2(R1) Method Validation Compliant

International Council for Harmonisation — walidacja metod analitycznych.

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

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

EP 2.2.46 European Pharmacopoeia Compliant

European Pharmacopoeia — chromatographic separation techniques.

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

Reference: EP 11.0, Chapter 2.2.46

JP 2.00 Japanese Pharmacopoeia Compliant

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

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

Reference: JP 18th Edition, General Chapter 2.00

FDA 21 CFR 211 cGMP Compliant

Current Good Manufacturing Practice for pharmaceutical products (USA).

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

Reference: 21 CFR Part 211 — Current Good Manufacturing Practice

ISO 17025 Testing Labs Aligned

International standard for the competence of testing laboratories.

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

Reference: ISO/IEC 17025:2017

Method Comparison Matrix

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

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

Interactive Troubleshooting Tree

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

Temperatura kolumny niestabilna 55%

Diagnoza: Column oven on? 30°C?

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

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

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

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

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

Diagnoza: Status lampki na detektorze — zielona?

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

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

Diagnoza: Is the sample >0.1 mg/mL?

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

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

Diagnoza: Do you filter samples through 0.22 μm?

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

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

Diagnoza: Jaki slope %B/min?

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

✓ 80% success rate
Flow za wysoki 25%

Diagnoza: Flow 1.5 mL/min?

Fix: Zmniejsz do 0.8 mL/min.

✓ 70% success rate
Incorrect buffer pH 70%

Diagnoza: Zmierz pH bufora — 7.0±0.2?

Fix: Make fresh buffer 10 mM NH₄HCO₃ pH 7.0.

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

Diagnoza: Number of injections? >2000?

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

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

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

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

⏰ 5 min ✓ 90% success rate

Frequently Asked Questions

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

Source: USP Online

Dla API (active pharmaceutical ingredient) typowo 98-102% label claim. Dla butanedioic acid (CAS 110-15-6) sprawdź: (1) USP monograph jeśli istnieje, (2) kompendium pharmacopoeia wewnętrzna, (3) ICH Q6A dla specyfikacji nowych substancji. Related substances ≤0.10% per ICH Q3A.

Source: ICH Q6A

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

Source: FDA Guidance

Prep Mistakes That Ruined The Run

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.

Sample Prep Protocol

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

Why Filter 0.22 μm?

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

Complete Method PDF

Full protocol with all parameters

SOP Template

GMP-compliant SOP template

Validation Protocol

ICH Q2(R1) validation template

Bibliography (.bib)

All references in BibTeX format

Forensic Fix — real failure stories Lessons learned

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

Peak tailing ruined my results

Anna K., PhD student, Warszawa 2024-03 Poziom 3/5
What happened:

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

💡 Lekcja:

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

Ghost peaks w ostatnim dniu stability

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

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

💡 Lekcja:

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

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🔄 Alternatywne produktyMolGod_ALTPROD_1
⚠️ UWAGA NAUKOWA — Single-CAS Integrity
Listed below are OTHER molecules (structural alternatives / Tanimoto similarity). All physicochemical values (MW, pKa, LD50, GHS, spectra) apply to THESE alternatives, NOT the current molecule (CAS 110-15-6). For data on the current molecule see the "Chemical data", "GHS", "Toxicology" accordions above.
Propylene glycol monomethyl ether acetate (PMA)
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Propyl Acetate
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📄 Certificates of Analysis (CoA) CAS 110-15-6 none MolGod_COA_2

No certificates for this product in the database.

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

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

  1. International Council for Harmonisation (ICH). 2000. "Q7 Good Manufacturing Practice Guide for Active Pharmaceutical Ingredients." ICH Expert Working Group. [link ↗] — GMP for APIs — adopted by EMA, FDA, MHLW
  2. International Organization for Standardization. 2017. "ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories." ISO. [link ↗] — Lab accreditation standard underpinning every CoA
  3. World Health Organization. 2010. "WHO Good Manufacturing Practices for Pharmaceutical Products: Main Principles (WHO Technical Report Series No. 957, Annex 3)." WHO Press. [link ↗] — WHO TRS No. 957 — global reference for GMP
  4. International Council for Harmonisation (ICH). 2003. "ICH Q1A(R2): Stability Testing of New Drug Substances and Products." International Council for Harmonisation. [link ↗] — Source for batch shelf-life and retest dating
  5. International Council for Harmonisation (ICH). 2006. "ICH Q3A(R2): Impurities in New Drug Substances." ICH. [link ↗]
  6. International Council for Harmonisation (ICH). 1999. "ICH Q6A: Specifications for New Drug Substances and Products." ICH. [link ↗] — CoA acceptance-criteria specification standard
  7. International Council for Harmonisation (ICH). 2008. "ICH Q10: Pharmaceutical Quality System." ICH. [link ↗]
  8. U.S. Food and Drug Administration. 2024. "21 CFR Part 211: Current Good Manufacturing Practice for Finished Pharmaceuticals." US Code of Federal Regulations. [link ↗] — US legal mandate (Subpart J — Records and Reports)
  9. European Medicines Agency. 2014. "Guideline on Process Validation for Finished Products — Information and Data to Be Provided EMA/CHMP/CVMP/QWP/BWP/70278/2012." European Medicines Agency. [link ↗]
  10. United States Pharmacopeial Convention. 2024. "United States Pharmacopeia and National Formulary, USP 47-NF 42." USP. [link ↗]
  11. European Pharmacopoeia Commission. 2024. "European Pharmacopoeia 11th Edition." Council of Europe — EDQM. [link ↗]
  12. Pharmaceutical Inspection Co-operation Scheme (PIC/S). 2021. "Guide to Good Manufacturing Practice for Medicinal Products PE 009-15." PIC/S Secretariat, Geneva. [link ↗] — Cross-recognized GMP for 54 inspectorates worldwide
  13. International Pharmaceutical Excipients Council (IPEC) and Pharmaceutical Quality Group (PQG). 2017. "Joint IPEC-PQG Good Manufacturing Practices Guide for Pharmaceutical Excipients." IPEC-Americas. [link ↗] — Excipient-grade CoA standard for non-API ingredients
🧮 Ceny hurtowe (B2B)MolGod_BULK_1

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📜 Patents (public metadata) no data MolGod_PATENT_2

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

📚 References (Chicago Author-Date) — click to expand
  1. Xie L, Chen H, Zhang L et al.. (2026). "Suppressing MASH fibrotic progression by blocking succinate-GPR91 signaling in HSCs.". Hepatology (Baltimore, Md.). https://doi.org/10.1097/HEP.0000000000001405
  2. (2026). "Cartoon / Vorschau". Leidfaden. https://doi.org/10.13109/leid.2026.15.3.110
  3. Pålsson-McDermott EM, O'Neill LAJ. (2025). "Gang of 3: How the Krebs cycle-linked metabolites itaconate, succinate, and fumarate regulate macrophages and inflammation.". Cell metabolism. https://doi.org/10.1016/j.cmet.2025.03.004
  4. Liang L, Kuang X, He Y et al.. (2025). "Alterations in PD-L1 succinylation shape anti-tumor immune responses in melanoma.". Nature genetics. https://doi.org/10.1038/s41588-025-02077-6
  5. Wang H, Hu D, Cheng Y et al.. (2025). "Succinate drives gut inflammation by promoting FOXP3 degradation through a molecular switch.". Nature immunology. https://doi.org/10.1038/s41590-025-02166-y
  6. Wang C, Yu X, Yu X et al.. (2025). "Gut flora-derived succinate exacerbates Allergic Airway Inflammation by promoting protein succinylation.". Redox biology. https://doi.org/10.1016/j.redox.2025.103623
  7. Ma K, Cheng H, Wang L et al.. (2025). "Succinate preserves CD8(+) T cell fitness to augment antitumor immunity.". Immunity. https://doi.org/10.1016/j.immuni.2025.07.017
  8. Lu S, Li J, Li Y et al.. (2025). "Succinate-loaded tumor cell-derived microparticles reprogram tumor-associated macrophage metabolism.". Science translational medicine. https://doi.org/10.1126/scitranslmed.adr4458
  9. Nengroo MA, Klein AT, Carr HS et al.. (2025). "Accumulation of succinate suppresses de novo purine synthesis through succinylation-mediated control of the mitochondrial folate cycle.". Molecular cell. https://doi.org/10.1016/j.molcel.2025.10.002
  10. Huang H, Li G, He Y et al.. (2024). "Cellular succinate metabolism and signaling in inflammation: implications for therapeutic intervention.". Frontiers in immunology. https://doi.org/10.3389/fimmu.2024.1404441
  11. Zhao X, Yang X, Du C et al.. (2024). "Up-regulated succinylation modifications induce a senescence phenotype in microglia by altering mitochondrial energy metabolism.". Journal of neuroinflammation. https://doi.org/10.1186/s12974-024-03284-4
  12. Rawal S, Randhawa V, Rizvi SHM et al.. (2024). "miR-369-3p ameliorates diabetes-associated atherosclerosis by regulating macrophage succinate-GPR91 signalling.". Cardiovascular research. https://doi.org/10.1093/cvr/cvae102
  13. Han G, Cui M, Lu P et al.. (2024). "Selective translation of nuclear mitochondrial respiratory proteins reprograms succinate metabolism in AML development and chemoresistance.". Cell stem cell. https://doi.org/10.1016/j.stem.2024.09.008
  14. Ben-Arosh H, Avraham R. (2023). "Tissue-specific macrophage immunometabolism.". Current opinion in immunology. https://doi.org/10.1016/j.coi.2023.102369
  15. Shen T, Lin R, Hu C et al.. (2023). "Succinate-induced macrophage polarization and RBP4 secretion promote vascular sprouting in ocular neovascularization.". Journal of neuroinflammation. https://doi.org/10.1186/s12974-023-02998-1
  16. (2011). "Clúdach: Cover". New Hibernia Review. https://doi.org/10.1353/nhr.2011.0038
  17. World Intellectual Property Organization. 2024. "Patent Cooperation Treaty (PCT)." https://www.wipo.int/pct/.
  18. U.S. Patent and Trademark Office. 2024. "USPTO Patent Public Search." https://ppubs.uspto.gov/.
  19. European Patent Office. 2024. "Espacenet Patent Search." https://worldwide.espacenet.com/.
  20. 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.
  21. 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.
  22. 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.
  23. Meanwell, Nicholas A. 2011. "Synopsis of Some Recent Tactical Application of Bioisosteres in Drug Design." Journal of Medicinal Chemistry 54 (8): 2529-2591.
  24. 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.
  25. Hopkins, Andrew L., and Colin R. Groom. 2002. "The Druggable Genome." Nature Reviews Drug Discovery 1 (9): 727-730.
  26. Allison, John R., and Mark A. Lemley. 1998. "Empirical Evidence on the Validity of Litigated Patents." AIPLA Quarterly Journal 26 (3): 185-275.
  27. Patani, George A., and Edmond J. LaVoie. 1996. "Bioisosterism: A Rational Approach in Drug Design." Chemical Reviews 96 (8): 3147-3176.
  28. 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/110-15-6?status=active&limit=10

Data from PubChemSource: PubChem (NIH) · ChEMBL
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📚 REFERENCES (Aggregate bibliography, Chicago Author-Date) 120 items

All scientific sources cited in the accordions above for CAS 110-15-6. Format: Chicago Manual of Style 17th ed., Author-Date system.

🗄️ Scientific databases

  1. NIST. n.d. NIST Chemistry WebBook: CAS 110-15-6. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=110-15-6.
  2. AIST. n.d. Spectral Database for Organic Compounds (SDBS): CAS 110-15-6. 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 110-15-6. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine. https://pubchem.ncbi.nlm.nih.gov/#query=110-15-6.

📐 Standards / Guidelines

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

📖 Books

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

📄 Scientific articles (peer-reviewed)

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

🌐 Websites

  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.
  3. ECHA. 2023. "Candidate List of Substances of Very High Concern for Authorisation." European Chemicals Agency. https://echa.europa.eu/candidate-list-table.
  4. European Parliament. 2008. "Regulation (EC) No 1272/2008 on Classification, Labelling and Packaging of Substances and Mixtures (CLP)." Official Journal of the European Union L 353: 1–1355.
  5. ECHA. 2017. "Guidance on the Compilation of Safety Data Sheets." Version 3.1. European Chemicals Agency. ECHA-17-G-01-EN. https://echa.europa.eu/documents/10162/23047722/sds_en.pdf.
  6. ECHA. 2022. "Restrictions Under REACH — Annex XVII." European Chemicals Agency. https://echa.europa.eu/substances-restricted-under-reach.
  7. United Nations. 2021. Globally Harmonized System of Classification and Labelling of Chemicals (GHS). 9th revised ed. ST/SG/AC.10/30/Rev.9. New York and Geneva: United Nations. https://unece.org/ghs-rev9-2021.
  8. ECHA. 2020. "Understanding REACH." European Chemicals Agency. https://echa.europa.eu/regulations/reach/understanding-reach.
  9. Snyder, Lloyd R., John W. Dolan, and Joseph J. Kirkland. 2010. Introduction to Modern Liquid Chromatography. Wiley.
  10. Schoenmakers, Peter J.. 1986. Optimization of Chromatographic Selectivity: A Guide to Method Development. Elsevier.
  11. Snyder, L. R., and J. W. Dolan. 2007. High-Performance Gradient Elution: The Practical Application of the Linear-Solvent-Strength Model. Wiley.
  12. 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. https://doi.org/10.1016/j.chroma.2008.10.005.
  13. 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.
  14. Dong, Michael W.. 2019. HPLC and UHPLC for Practicing Scientists. Wiley. https://doi.org/10.1002/9781119313793.
  15. 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.
  16. Stoll, Dwight R., and Peter W. Carr. 2017. "Two-Dimensional Liquid Chromatography: A State of the Art Tutorial." Analytical Chemistry 89: 519-531. https://doi.org/10.1021/acs.analchem.6b03506.
  17. Dolan, John W.. 2013. "When to Modify Method Conditions." LCGC North America 31: 192-199. https://www.chromatographyonline.com/view/when-modify-method-conditions.
  18. Meyer, Veronika R.. 2010. Practical High-Performance Liquid Chromatography. Wiley.
  19. Van Deemter, J. J., F. J. Zuiderweg, and A. Klinkenberg. 1956. "Longitudinal diffusion and resistance to mass transfer as causes of nonideality in chromatography." https://doi.org/10.1016/0009-2509(56)80003-1.
  20. Giddings, J. Calvin. 1965. "Dynamics of Chromatography, Part I: Principles and Theory." Marcel Dekker.
  21. Poppe, Hans. 1997. "Some reflections on speed and efficiency of modern chromatographic methods." https://doi.org/10.1016/S0021-9673(97)00376-2.
  22. Wu, Naijun, and Anton M. Clausen. 2007. "Fundamental and practical aspects of ultrahigh pressure liquid chromatography for fast separations." https://doi.org/10.1002/jssc.200700026.
  23. Carr, Peter W.. 2009. "The new physical chemistry of HPLC." https://doi.org/10.1016/j.chroma.2008.11.094.
  24. Knox, John H.. 1977. "Practical aspects of LC theory." https://doi.org/10.1093/chromsci/15.9.352.
  25. Snyder, L. R., J. J. Kirkland, and J. L. Glajch. 1997. "Practical HPLC Method Development." Wiley.
  26. Engelhardt, Heinz. 2014. "100 Years of Chromatography." Wiley-VCH.
  27. Sadek, Paul C.. 2002. "The HPLC Solvent Guide." Wiley-Interscience.
  28. Snyder, L. R.. 1978. "Classification of the solvent properties of common liquids." https://doi.org/10.1093/chromsci/16.6.223.
  29. Reichardt, Christian, and Thomas Welton. 2010. "Solvents and Solvent Effects in Organic Chemistry." Wiley-VCH.
  30. Vailaya, Anant, and Csaba Horváth. 1998. "Retention thermodynamics in hydrophobic interaction chromatography." https://doi.org/10.1021/ie980212h.
  31. Krstulović, Andrea M., and Phyllis R. Brown. 1981. "Reversed-phase High-Performance Liquid Chromatography." Wiley.
  32. Boysen, Reinhard I., and Milton T. W. Hearn. 2009. "Multi-modal HPLC of proteins." https://doi.org/10.1093/chromsci/47.8.645.
  33. USP General Chapter <621>. 2024. "Chromatography." United States Pharmacopeial Convention. https://www.usp.org/harmonization-standards/pdg/general-chapters/chromatography.
  34. International Council for Harmonisation (ICH). 2023. "Validation of Analytical Procedures Q2(R2)." ICH Expert Working Group. https://database.ich.org/sites/default/files/ICH_Q2-R2_Document_Step4_Guideline_2023_1101.pdf.
  35. Foley, Joe P., and John G. Dorsey. 1983. "Equations for calculation of chromatographic figures of merit for ideal and skewed peaks." https://doi.org/10.1021/ac00255a033.
  36. Snyder, Lloyd R., Joseph J. Kirkland, and John W. Dolan. 2010. "Introduction to Modern Liquid Chromatography." Wiley. https://doi.org/10.1002/9780470508183.
  37. Dolan, John W.. 2003. "Peak tailing and resolution." https://www.chromatographyonline.com/view/peak-tailing-and-resolution.
  38. Vivó-Truyols, Gabriel, and Hans-Gerd Janssen. 2010. "Probabilistic approach to peak deconvolution in chromatography." https://doi.org/10.1021/ac101742z.
  39. Kromidas, Stavros. 2017. "HPLC Made to Measure: A Practical Handbook for Optimization." Wiley-VCH.
  40. Heyden, Yvan Vander, et al.. 2009. "Robustness of pharmaceutical liquid chromatographic methods." https://doi.org/10.1016/j.jchromb.2008.10.052.
  41. United States Pharmacopeial Convention. 2024. "USP <621> Chromatography." In United States Pharmacopeia and National Formulary, USP 47-NF 42. Rockville, MD: USP. https://www.uspnf.com/.
  42. European Pharmacopoeia Commission. 2024. "2.2.46 Chromatographic Separation Techniques." In European Pharmacopoeia, 11th ed. Strasbourg: Council of Europe — EDQM. https://www.edqm.eu/en/european-pharmacopoeia-ph-eur-11th-edition.
  43. International Council for Harmonisation (ICH). 2022. "ICH Q2(R2): Validation of Analytical Procedures." International Council for Harmonisation. https://database.ich.org/sites/default/files/ICH_Q2%28R2%29_Guideline_2022_1130.pdf.
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