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Eapearl Chemical

Glycerol

Glycerin /Glycerine

CAS 56-81-5 EC 200-289-5 C3H8O3 Alcohol
MolGod_SDSCARD_1
REACH 2020/878
v1 · 22.09.2026

Specification

Product NameGlycerol
Other NamesGlycerin /Glycerine
CAS No.56-81-5
EINECS No.200-289-5
MFC3H8O3
Molecular weight92.09
Purity95%/99.50%
AppearanceColorless viscous liquid
Density1.261g/mLat 25°C (lit.)
Melting point18°C (lit.)
Boiling point290°C (lit.)
Flashing point177 °C (closed cup)

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

Packaging and shipping

Drum250 kg
IBC Drum1127 kg
ISO tank (20ft)24–26 m³
ISO tank (40ft)48–50 m³
Glycerol
Glycerol
Glycerol
Glycerol
Glycerol

Glycerol, also known as glycerin, is a simple polyol compound with the molecular formula C₃H₈O₃. It appears as a colorless, odorless, viscous liquid that is sweet-tasting and non-toxic. Widely recognized for its exceptional hygroscopicity, chemical stability, and compatibility with various substances, glycerol is fully miscible with water, alcohols, and many organic solvents, making it a highly versatile industrial raw material.

As a key multifunctional additive, glycerol serves as a critical humectant, solvent, and thickener across multiple industries. In the cosmetics and personal care sector, it is extensively used to retain moisture, improve skin texture, and stabilize formulations, finding applications in creams, lotions, toothpaste, and skincare products. In the food industry, it acts as a sweetener, preservative, and texturizer, commonly utilized in baked goods, candies, and beverages.

In pharmaceuticals, glycerol functions as a safe excipient in ointments, cough syrups, and suppositories, enhancing drug solubility and delivery. Additionally, it plays a vital role in the production of synthetic resins, lubricants, and antifreeze agents, thanks to its high boiling point and excellent lubricating properties. With its broad applicability, safe profile, and stable supply, glycerol remains an indispensable basic chemical in modern industry.

Professional solutions for glycerol (glycerin) | Applications in various fields such as moisturizing, food additives, and pharmaceutical excipients | Available in all gradesProfessional solutions for glycerol (glycerin) | Applications in various fields such as moisturizing, food additives, and pharmaceutical excipients | Available in all gradesProfessional solutions for glycerol (glycerin) | Applications in various fields such as moisturizing, food additives, and pharmaceutical excipients | Available in all grades

Professional solutions for glycerol (glycerin) | Applications in various fields such as moisturizing, food additives, and pharmaceutical excipients | Available in all grades

Product Description

Glycerol, also known as glycerin, is a colorless, odorless, and viscous liquid with excellent hygroscopicity, solubility, and stability. It is a natural polyol derived from vegetable oils or animal fats through saponification or hydrolysis. 

Our glycerol is packaged in food-grade HDPE drums (250kg each) and sealed plastic bottles (500ml, 1L) for different usage scenarios, ensuring safety during storage and transportation. It features high purity (≥99.5%), low impurity content,

 and consistent quality, making it suitable for various industries.

In terms of usage and applications, glycerol is widely used in the pharmaceutical industry as a humectant, solvent, and excipient in cough syrups, creams, and suppositories. 

In the cosmetics field, it acts as a moisturizer in lotions, soaps, and skincare products, helping to retain skin moisture. The food industry utilizes it as a sweetener, humectant, and thickener in baked goods, beverages, and candies. 

Additionally, it serves as an important raw material in the production of explosives, plastics, and lubricants in industrial manufacturing. Its non-toxic and versatile nature makes it an indispensable ingredient across multiple sectors.

Professional solutions for glycerol (glycerin) | Applications in various fields such as moisturizing, food additives, and pharmaceutical excipients | Available in all grades

Professional solutions for glycerol (glycerin) | Applications in various fields such as moisturizing, food additives, and pharmaceutical excipients | Available in all grades

Delivery&Payment method

Professional solutions for glycerol (glycerin) | Applications in various fields such as moisturizing, food additives, and pharmaceutical excipients | Available in all grades

Frequently asked

In what packaging is Glycerol shipped?

Standard formats are Drum (250 kg), IBC Drum (1127 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 Glycerol?

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

What purity do you supply?

The standard grade is 95%/99.50%. Tighter specifications are confirmed against the production batch before shipment.

Technical reading on Glycerol

Related products

🧬 3D分子可视化器
正在加载分子...
3D模型Glycerol,CAS 56-81-5,分子式C3H8O3, 摩尔质量 92.09 g/mol

数据转录自法规登记册和专业文献,并注明来源与版本。不能替代供应商的安全数据表。未记录来源的字段已作相应标注。

📊 物理化学数据 — CAS 56-81-5MolGod_PROPHUB_MAIN
📊 物理化学性质

快速参考

化学式: C3H8O3
分子量: 92.09 g/mol
CAS号: 56-81-5

详细性质

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

属性 单位 条件 来源
折射率(nD 1.4746[1][2] 20 °C, D-line Yaws Handbook 2nd ed. (2014)
🔬 高级属性

化学标识符

SMILES: C(C(CO)O)O

数据来源: Yaws Handbook 2nd ed. (2014)

最后更新: 未确认

📚 科学参考文献(芝加哥作者-日期格式) (2 来源)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. applies to: 折射率(nD)
  2. Yaws, C.L. Thermophysical Properties of Chemicals and Hydrocarbons. 2nd ed. Amsterdam: Elsevier (Gulf Professional Publishing), 2014. applies to: 折射率(nD)
化学概述: GlycerolMolGod_OVERVIEW_1
分子式C3H8O3[1]
分子量92.09 g/mol[1]
熔点17.8 °C[1][2][3][4]
沸点290 °C (760 mmHg)[1][2][4]
密度1.2613 g/cm³[1][2][4]
LogP(亲脂性)-1.76[1]
pKa14.15
IUPAC名称propane-1,2,3-triol[1]
SMILESC(C(CO)O)O[1]
InChIKeyPEDCQBHIVMGVHV-UHFFFAOYSA-N[1]

同义词: glycerol · glycerin · 56-81-5 · Glycerine · 1,2,3-Propanetriol

数据来源: PubChem (NLM/NIH), Yaws Handbook 2nd ed. (2014)
最后更新: 2026-09-21

📚 科学参考文献(芝加哥作者-日期格式) (4 来源)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. applies to: 分子式 · 分子量 · 熔点 · 沸点 · 密度 · LogP(亲脂性) · IUPAC名称 · SMILES · InChIKey
  2. DECHEMA, PTB, and BAM. CHEMSAFE - Database of Evaluated Safety Characteristics for the Avoidance of Explosions. Frankfurt am Main: DECHEMA e.V.; Braunschweig/Berlin: Physikalisch-Technische Bundesanstalt and Bundesanstalt fur Materialforschung und -prufung. applies to: 熔点 · 沸点 · 密度
  3. NIST. Chemistry WebBook, SRD 69. National Institute of Standards and Technology. applies to: 熔点
  4. Yaws, C.L. Thermophysical Properties of Chemicals and Hydrocarbons. 2nd ed. Amsterdam: Elsevier (Gulf Professional Publishing), 2014. applies to: 熔点 · 沸点 · 密度

科学研究

[1]Doaj2017
EFSA Panel on Food Additives and Nutrient Sources added to Food (ANS), Alicja Mortensen, Fernando Aguilar et al.. (2017). "Re‐evaluation of glycerol (E 422) as a food additive". EFSA Journal. https://
📚 科学参考文献(芝加哥作者-日期格式) 1 refs · 1 baz

MOLECULE 按CAS号参考文献(实时来自13+数据库)

来源: db:doaj (1)

  1. db:doaj EFSA Panel on Food Additives and Nutrient Sources added to Food (ANS), Alicja Mortensen, Fernando Aguilar et al.. (2017). "Re‐evaluation of glycerol (E 422) as a food additive". EFSA Journal. https://doi.org/10.2903/j.efsa.2017.4720
物质监管状态
在已检查的限制清单(SVHC候选清单、REACH附件XVII;数据集不完整——这不构成合规确认)中未找到该CAS号的条目。CLP分类和运输状态(ADR):请参见GHS章节及安全数据表(SDS)。
🧮 化学计量计算器MolGod_STOICH_1
🧪 化学数据MolGod_CHEMDATA_1
CAS号
56-81-5
分子式
C3H8O3
摩尔质量
92.09 g/mol
IUPAC名称 (EN)
propane-1,2,3-triol
SMILES
C(C(CO)O)O
InChIKey
PEDCQBHIVMGVHV-UHFFFAOYSA-N
📡 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
16.9
Density
1.261

Source: PubChem, NIST WebBook. Last updated: date not confirmed

🔍 外部标识符MolGod_EXTID_1
15 / 16个ID系统94%
数据库标识符操作
CAS Registry Number56-81-5打开 →
PubChem CID753[1]打开 →
InChIKeyPEDCQBHIVMGVHV-UHFFFAOYSA-N[1]打开 →
InChIInChI=1S/C3H8O3/c4-1-3(6)2-5/h3-6H,1-2H2[1]
SMILESC(C(CO)O)O[1]
EC Number200-289-5[2]打开 →
ChEMBLCHEMBL692[3]打开 →
DrugBankDB09462打开 →
KEGG CompoundC00116打开 →
HMDBHMDB0000131打开 →
ChemSpider733[4]打开 →
MeSH UID (NLM)D005990打开 →
UNII (FDA)PDC6A3C0OX打开 →
NSC Number (NCI)9230打开 →
WikiData QIDQ132501打开 →

来源:PubChem (NIH)、Wikidata SPARQL、KEGG、ChEMBL (EBI)、CompTox CTX (EPA)。

📚 科学参考文献(芝加哥作者-日期格式) (4 来源)
  1. PubChem. National Center for Biotechnology Information (NIH/NLM), chemical compound database. applies to: PubChem CID · InChIKey · InChI · SMILES
  2. ECHA. EC Inventory — EINECS, ELINCS, NLP and List Numbers assigned under REACH. Helsinki: European Chemicals Agency. applies to: EC Number
  3. ChEMBL. European Bioinformatics Institute (EMBL-EBI), bioactivity database. applies to: ChEMBL
  4. ChemSpider. Royal Society of Chemistry, chemical structure database. applies to: ChemSpider

Further reading

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

扩展参考文献 (5)

  1. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Pagliaro, Mario. 2017. "Glycerol." Glycerol: 109-132. https://doi.org/10.1016/b978-0-12-812205-1.00005-9. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Shahbaz, Kaveh, Mjalli, Farouq S., Hashim, Mohd Ali, AlNashef, Inas M.. 2013. "Elimination of All Free Glycerol and Reduction of Total Glycerol from Palm Oil-Based Biodiesel Using Non-Glycerol Based Deep Eutectic Solvents." Separation Science and Technology 48 (8): 1184-1193. https://doi.org/10.1080/01496395.2012.731124. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Anonymous. 1952. "Stress on Quality, Not Bulk, Needed in Glycerol Production." Chemical & Engineering News Archive 30 (5): 416-419. https://doi.org/10.1021/cen-v030n005.p416. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Anonymous. "Preparation of Tough and Adhesive PVA/P(AM-AMPS)/Glycerol/Laponite/Na2SO4 Organohydrogels for All-Solid-State Supercapacitors and Self-Powered Wearable Strain Sensors.". https://doi.org/10.1021/acsami.3c13256.s001. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Anonymous. "Methods of sampling and test for glycerol.". https://doi.org/10.3403/00000142. 链接 [访问日期: 2026-09-22] CC0 (metadata)
📡 光谱学 — CAS 56-81-5MolGod_SPECHUB_MAIN
📊 光谱数据库 — 内联数据 9 来源 MolGod_SPECDB_2

光谱按需从9个来源获取。每个光谱都存储在我们的数据库中 — 下次打开时无需向外部API发出请求。无需搜索即可为每个光谱下载JCAMP-DX / CSV / PNG。

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

参考来源 — 无公共API。在外部数据库中打开:

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

参考来源 — 无公共API。在外部数据库中打开:

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

参考来源 — 无公共API。在外部数据库中打开:

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DOAJ DOAJ — Directory of Open Access Journals
OA journal index (mixed)

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🔗 DOAJ →
📚 DOAJ — doaj.org
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MS — 质谱(EI 70eV)

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结构性质MolGod_STRUCT3D_1

正在加载结构数据...

❓ 常见问题 (3)MolGod_FAQ_1
What is 56-81-5?
56-81-5 (CAS 56-81-5) is a chemical compound. The chemical data comes from PubChem (National Institutes of Health, USA).
有帮助吗?
What is the CAS number of 56-81-5?
The CAS number for 56-81-5 is 56-81-5. A CAS Registry Number is the standard identifier for a chemical substance in scientific literature and in trade.
有帮助吗?
How should 56-81-5 be stored?
56-81-5 should be stored as its safety data sheet directs \— typically in a dry, cool, well-ventilated place, away from heat and from materials it is incompatible with.
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➕ 建议问题
下载结构文件MolGod_STRDL_1

来自PubChem数据库(NIH)的分子结构文件。兼容Avogadro、PyMOL、Jmol和ChemDraw等程序。

来源:PubChem,美国国家医学图书馆(NIH)。 CID: 753

🔄 浓度单位转换器 实时 MolGod_UNITCONV_1

输入Glycerol浓度(任意单位),其余将自动计算。

分子量: 92.09 g/mol · IUPAC Gold Book ↗

⚗️ 转换公式及引用(每个公式)
转换分子式准确度来源
% (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)
📚 参考文献(8个权威来源)
  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
相似分子结构MolGod_SIMSTR_1

正在加载相似结构...

🧪 溶液制备向导 WIZARD MolGod_PREP_1
① 选择浓度
② 目标体积
③ 溶剂

计算依据: IUPAC Gold Book ↗, Merck ↗

计算化学MolGod_COMPCHEM_1

正在加载计算数据...

🛡️ 安全 — CAS 56-81-5MolGod_SAFEHUB_MAIN
数据限制说明。 本页安全信息仅供参考,不能替代完整的安全数据表(SDS)。使用产品前,请查阅制造商当前的安全数据表以及GHS/CLP指南。CLP分类适用于纯散装物质,不适用于商业制剂。

该物质无统一的GHS分类——请参阅供应商当前的安全数据表(SDS)。

📚 综合科学参考文献 — Chicago Author-Date 10 来源

从所有Safety Hub选项卡收集的参考文献。CAS号: 56-81-5 · 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,法规
  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

具有自身参考文献的选项卡(紧急情况、个人防护装备、储存、废物)在其各自章节中包含额外的书目条目。

📈 分析统计(t检验·RSD·Grubbs·Q-Dixon) ICH Q2

粘贴一系列重复测量结果(CSV或每行一个数字)。计算器将计算平均值、标准差和95%置信区间,并检测异常值(Grubbs + Dixon Q)。

分隔符:逗号、空格、制表符、换行。至少3个测量值。
📐 统计公式
  • x̄ = Σxᵢ / n — 算术平均值
  • s² = Σ(xᵢ - x̄)² / (n-1) — 样本方差
  • s = √s² — 标准差
  • RSD% = (s / x̄) × 100% — 相对标准差
  • CI₉₅ = x̄ ± t(0.05, n-1) × s / √n — Student's t
  • G = |xᵢ - x̄| / s — Grubbs检验
  • Q = |xsuspect - xnearest| / |xmax - xmin| — Dixon Q-test

来源:ICH Q2(R2) 分析方法验证 · ICH PDF ↗

🧪 缓冲液配方计算器 唯一

从 20 种常用缓冲体系列表中选择 → 输入目标 pH → 获得精确配方,包括称量质量。

步骤 1:选择缓冲体系

📜 配方历史记录(最近 10 条)
药物状态

Lek zatwierdzony (Faza 4)

I期
II期
III期
已批准

已获监管机构批准上市。

ChEMBL CHEMBL692 ↗

扩展参考文献 (5)

  1. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Pagliaro, Mario. 2017. "Glycerol." Glycerol: 109-132. https://doi.org/10.1016/b978-0-12-812205-1.00005-9. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Shahbaz, Kaveh, Mjalli, Farouq S., Hashim, Mohd Ali, AlNashef, Inas M.. 2013. "Elimination of All Free Glycerol and Reduction of Total Glycerol from Palm Oil-Based Biodiesel Using Non-Glycerol Based Deep Eutectic Solvents." Separation Science and Technology 48 (8): 1184-1193. https://doi.org/10.1080/01496395.2012.731124. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Anonymous. 1952. "Stress on Quality, Not Bulk, Needed in Glycerol Production." Chemical & Engineering News Archive 30 (5): 416-419. https://doi.org/10.1021/cen-v030n005.p416. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Anonymous. "Preparation of Tough and Adhesive PVA/P(AM-AMPS)/Glycerol/Laponite/Na2SO4 Organohydrogels for All-Solid-State Supercapacitors and Self-Powered Wearable Strain Sensors.". https://doi.org/10.1021/acsami.3c13256.s001. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Anonymous. "Methods of sampling and test for glycerol.". https://doi.org/10.3403/00000142. 链接 [访问日期: 2026-09-22] CC0 (metadata)
📅 项目规划器——实验室实验管理器 新品

规划您的整个实验室项目:添加实验(含试剂、重复次数和持续时间)。您将获得甘特图、购物清单(含商店链接!)、预算(含10%余量)和GHS风险矩阵。

🧪 溶解性和溶剂兼容性 MolGod_SOLUB_1
分子
Glycerol
分子式
C3H8O3
logP (XLogP3)
-1.80
摩尔质量(g/mol)
92.09
极性
亲水性(极性)

⚠️ 基于Hansen参数(δD/δP/δH)的兼容性——文献值。指示性数据;请通过实验验证。

Ra < R₀ = good miscibility · Ra < 1,5×R₀ = borderline · above = poor (R₀ — radius of the Hansen sphere of this molecule) For this molecule R₀ = 10..

溶剂 兼容性 Ra 可视化 GC-MS HPLC 应用 参考文献
Water (H₂O)miscible14.1
✗ NieA (aqueous) (RP)
buffercell cultureanalyticalextraction (hydrophilic)
Ethanol (EtOH)~ 平均10.9
✗ NieA/B modifier (RP/NP)
extractionspectroscopy (UV-Vis)synthesisHPLC modifier
Methanol (MeOH)+ 良好8.4
✗ NieA/B (RP) (RP)
HPLC (eluent)LC-MSKarl FischerUV-transparent to 205 nm
Acetone− 差22.7
✗ NieB modifier (NP)
GC headspacecrystallisationdegreasingsynthesis
Acetonitrile (ACN)− 差24.3
✗ NieB (RP) (RP)
HPLC eluent (gold standard)LC-MS (low UV cut-off, 190 nm)peptide analysis
DMSO− 差19.7
✗ NieN/A (N/A)
NMR (d6-DMSO)cell biology (cryopreservation)drug deliverysynthesis
THF− 差22.3
✗ NieB (NP) (NP)
GPC/SEC (polymer analysis)Grignard synthesisorganometallics
DCM (CH₂Cl₂)− 差24.0
✓ TakB (NP) (NP)
extractionNP-HPLCGC-MScrystallisation (anti-solvent)
Chloroform (CHCl₃)− 差25.3
✓ TakN/A (toxic) (N/A)
NMR (CDCl3)lipid extraction (Folch method)NP-TLC
Hexane− 差32.1
✓ TakA (NP) (NP)
NP-HPLCoil extraction (lipids)GC-MSTLC (NP)
Toluene− 差29.3
✓ TakB (NP) (NP)
NMR (d8-toluene)synthesisazeotropic drying (Dean-Stark)
📚 溶剂科学参考文献(芝加哥作者-日期格式)——点击展开

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
溶解性理论(应用于相容性预测):
  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三元组(dD, dP, dH)+ Ra公式。
  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 — 250+溶剂的完整表格数据集(ε、μ、供体数、受体数)。
  8. PubChem Compound Database — CAS 56-81-5 lookup ↗ — logP (XLogP3), water solubility experimental + predicted.

完整参考文献位于页面底部的参考文献折叠面板——芝加哥格式手册第17版作者-日期格式。

⚗️ 检查反应兼容性 MolGod_RXNCOMP_1

检查Glycerol是否与另一种试剂兼容

📦 储存兼容性矩阵
酸类 氧化剂 易燃 毒性 Gazy
酸类
氧化剂
易燃
毒性
Gazy
✓ 可一起储存 · ⚠ 谨慎 · ✗ 禁止一起储存 · OSHA Chemical Segregation ↗

兼容性数据来源: Bretherick's Handbook (7th ed.) ↗, GESTIS ↗, ECHA REACH ↗, NFPA 704 ↗

🧮 实验室计算器(8个) MolGod_LABCALC_1
稀释(C₁V₁=C₂V₂)
摩尔浓度(M=n/V)
pH缓冲液(Henderson-Hasselbalch)
Beer-Lambert(A=εcl)
质量→摩尔
浓度%→M
ppm→mg/L
温度 C↔F↔K

已验证的配方: IUPAC Gold Book ↗, DOI ↗

📊 光谱数据库 MolGod_SPECDB_3
📋 实验室方案生成器 MolGod_PROTOCOL_1

方案基于以下内容生成: GHS SDS, Aldrich Lab Guide ↗

🏷️ 标签生成器(QR码) MolGod_LABEL_1
Glycerol• glycerin / Glycerine• IUPAC: propane-1,2,3-triol• CAS: 56-81-5• EC: 200-289-5• 分子式: C3H8O3• 摩尔质量: 92.09 g/molAnhui Eapearl Chemical Co., Ltd.12th Floor, Tongguan Number Valley, Tongling, Anhui, China+86 186 5620 1888[email protected]epchems.com
Deskryptory Lipinskiego (struktura)

类药性雷达图(Lipinski Ro5 / Veber)。绿色区域 = 符合标准。

预测数据 — 通过计算机模拟(SMILES/RDKit)计算的属性。不能替代临床研究。未经实验验证,不得用于药物评估。

MW92.1LogP-1.8HBD3HBA3RotB2TPSA60.7 Ų
✓ Lipinski Ro5✓ Veber✓ Egan✗ Ghose (MW=92, LogP=-1.8)✗ REOS (MW=92)✓ Lead-like Ro3
属性评级
吸收(GI)
血脑屏障通透性
生物利用度(Daina 2017)
55%
CYP450概况CYP1A2 non-inhibitorCYP2C9 non-inhibitorCYP2C19 non-inhibitorCYP2D6 non-inhibitorCYP3A4 non-inhibitor
PAINS警告0
Brenk警告0
pKa (pH 7.4)7 (heuristic)
hERG(心脏毒性)✓ 否
P-gp底物
Ames致突变性✓ 否
DILI(肝毒性)
LogS(水溶性)
来源(ADMET方法学)
  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. EFSA Panel on Food Additives and Nutrient Sources added to Food (ANS), Alicja Mortensen, Fernando Aguilar et al.. (2017). "Re‐evaluation of glycerol (E 422) as a food additive". EFSA Journal. https://doi.org/10.2903/j.efsa.2017.4720
  22. Pagliaro, Mario. 2017. "Glycerol." Glycerol: 109-132. https://doi.org/10.1016/b978-0-12-812205-1.00005-9. [DOI ↗]
  23. Shahbaz, Kaveh, Mjalli, Farouq S., Hashim, Mohd Ali, AlNashef, Inas M.. 2013. "Elimination of All Free Glycerol and Reduction of Total Glycerol from Palm Oil-Based Biodiesel Using Non-Glycerol Based Deep Eutectic Solvents." Separation Science and Technology 48 (8): 1184-1193. https://doi.org/10.1080/01496395.2012.731124. [DOI ↗]
  24. Anonymous. 1952. "Stress on Quality, Not Bulk, Needed in Glycerol Production." Chemical & Engineering News Archive 30 (5): 416-419. https://doi.org/10.1021/cen-v030n005.p416. [DOI ↗]
  25. Anonymous. "Preparation of Tough and Adhesive PVA/P(AM-AMPS)/Glycerol/Laponite/Na2SO4 Organohydrogels for All-Solid-State Supercapacitors and Self-Powered Wearable Strain Sensors.". https://doi.org/10.1021/acsami.3c13256.s001. [DOI ↗]
  26. Anonymous. "Methods of sampling and test for glycerol.". https://doi.org/10.3403/00000142. [DOI ↗]
  27. 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 ↗]
  28. Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al. 2023. "PubChem 2023 update." Nucleic Acids Research 51 (D1): D1373-D1380. [DOI ↗]
  29. Kim, Sunghwan, Tiejun Cheng, Jianyong He, Chen Cheng, et al. 2021. "PubChem Protein, Pathway, Reaction, and Disease Specifications." Journal of Cheminformatics 13: 16. [DOI ↗]
  30. Hähnke, Volker D., Sunghwan Kim, and Evan E. Bolton. 2018. "PubChem chemical structure standardization." Journal of Cheminformatics 10: 36. [DOI ↗]
  31. Wang, Yanli, Stephen H. Bryant, Tiejun Cheng, Jiyao Wang, et al. 2017. "PubChem BioAssay: 2017 update." Nucleic Acids Research 45 (D1): D955-D963. [DOI ↗]
  32. 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 ↗]
  33. Wilkinson, Mark D., et al. 2016. "The FAIR Guiding Principles for scientific data management and stewardship." Scientific Data 3: 160018. [DOI ↗]
  34. Hersey, Anne, et al. 2015. "Chemical databases: curation or integration by user-defined equivalence?" Drug Discovery Today: Technologies 14: 17-24.
  35. Chhanda Mukhopadhyay, Bubun Banerjee. 2023. "[Set Ionic Liquids, Deep Eutectic Solvents, Crown Ethers, Fluorinated Solvents, Glycols and Glycerol + Organic Synthesis, Natural Products Isolation, Drug Design, Industry and the Environment]." de Gruyter GmbH, Walter.
  36. 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.
  37. ECHA. 2024. "REACH Guidance." European Chemicals Agency.
  38. 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.
🧪 溶液配制助手(Smart Prep) MolGod_PREP_2

输入您要制备的内容——我将生成SOP

示例如下——点击插入:
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📚 科学文献概览 — CAS 56-81-5MolGod_LITHUB_MAIN
⭐ 关键发现(科学文献) 1 出版物
🏆 CAS 56-81-5 — multi-criteria ranking (W12): 30%引用·20%近期性·20%主题·15%历史·15%开放获取.
  1. #1
    EFSA Panel on Food Additives and Nutrient Sources added to Food (ANS), Alicja Mortensen, Fernando Aguilar et al. (2017) · EFSA Journal
    重要性: Open access
    SCORE 9.12 机制 Citations: 38 Open Access DOI ↗
🔬 HPLC — 方法与参数 — CAS 56-81-5MolGod_HPLCHUB_MAIN
🔬 HPLC/GC方法 (1 方法)
📄
A Descriptive Chemical Composition of Concentrated Bud Macerates through an Optimized SPE-HPLC-UV-MS2 Method—Application to Alnus glutinosa, Ribes nigrum, Rosa canina, Rosmarinus officinalis and Tilia tomentosa
HPLC-DADPlants202293% ✓CC-BYResearch method (specificity, robustness)
色谱柱: C18, 250 x 4.6 mm, 5 μm
相: was constituted by (A) acidified water (0.1% of formic acid (FA)) and…
检测: UV 600 nm
流速: 1.00 mL/min
温度: 20.0 °C
Inj.: 20 μL
Gradient: was applied: 1% of B (0–3 min), 1–30% of B…
Charpentier T, Boisard S, Le Ray A, Bréard D, Chabrier A, Esselin H, et al. A Descriptive Chemical Composition of Concentrated Bud Macerates through an Optimized SPE-HPLC-UV-MS2 Method—Application to Alnus glutinosa, Ribes nigrum, Rosa canina, Rosmarinus officinalis and Tilia tomentosa. Plants. 2022;11:144. doi:10.3390/plants11020144
Concentrated bud macerates (CBMs) are obtained from meristematic tissues such as buds and young shoots by maceration in a solvent composed of glycerin, water and ethanol (1/1/1/, v/v). Their traditional utilization in gemmotherapy has gained interest in the past years, and the knowledge of their chemical characterization can provide commercial arguments, particularly to secure their quality control. Therefore, an optimized method for phytochemical analysis including glycerol removal by a preliminary solid phase extraction (SPE) followed by compound identification using high performance liquid chromatography coupled with ultra-violet and tandem mass detectors (HPLC-UV-MS2) was developed. This method was applied on 5 CBMs obtained from Alnus glutinosa, Ribes nigrum, Rosmarinus officinalis, Rosa canina and Tilia tomentosa in order to determinate their chemical composition. Their antioxidant effects were also investigated by radical scavenging activity assays (DPPH and ORAC). Glycerol removal improved the resolution of HPLC chemical profiles and allowed us to perform TLC antioxidant screening. Our approach permitted the identification of 57 compounds distributed in eight major classes, three of them being common to all macerates including nucleosides, phenolic acids and glycosylated flavonoids. Quantification of the later class as a rutin equivalent (RE) showed a great disparity between Rosa canina macerate (809 mg RE/L), and the other ones (from 175 to 470 mg RE/L). DPPH and ORAC assays confirmed the great activity of Rosa canina (4857 and 6479 μmol TE/g of dry matter, respectively). Finally, phytochemical and antioxidant analysis of CBMs strengthened their phytomedicinal interest in the gemmotherapy field.
concentrated bud maceratesHPLC-UV-MSflavonoid contentantioxidant activity
📈 方法验证(ICH Q2)

无验证数据。请联系方法作者。

参数依据: ICH Q2(R2) ↗

🔧 HPLC/GC故障排除
宽峰 / 拖尾
原因: 色谱柱磨损、流动相pH值不当、色谱柱过载、死体积
解决方案: 更换色谱柱,检查缓冲液pH值(±0.2),减少进样体积,检查接头
基线漂移
原因: 流动相污染、梯度问题、温度不稳定
解决方案: 对流动相脱气,0.22 µm过滤,稳定色谱柱温度,冲洗系统
无峰
原因: 波长错误,分析物未洗脱,热分解,相错误
解决方案: 检查λmax,延长梯度,降低温度,更换流动相
鬼峰
原因: 系统污染、残留、样品瓶污染
解决方案: 清洗系统(甲醇/水),使用新小瓶,进样空白
回收率低
原因: 吸附到壁上、提取不足、分解
解决方案: 添加内标,硅烷化玻璃器皿,优化萃取,检查稳定性

来源: Snyder, Kirkland & Dolan ↗, Waters ↗

完整HPLC方法指南 同行评审

分子特定场景、故障排除和文献参考

Molecular Predictor

Predicted parameters for this molecule (CAS 56-81-5) are based on literature-backed models (Snyder-Dolan LSS, Neue pore-size rules).

Retention Time
-3.3 min
Range: 0.5 – -4.29
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
= 5.429 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.

化学家的真实问题

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?

我们的解决方案

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

交互式计算器

Deep Education

理解流动相化学

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:

常见问题

Dla logP=-1.8 rekomendacja zależy: jeśli logP<2 (polarny) → MeOH retencja wystarczy; logP≥2 (niepolarny) → ACN daje lepszy peak shape. Dla tej molekuły (MW=92.09, CAS 56-81-5) zaczynaj od ACN w gradiencie 5→95% B.

Source: Snyder LSS Model

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

Source: Chromatography Forum

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

Source: r/chemistry

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

Source: ResearchGate

Gradient Problem From The Lab

Ghost peaks w ostatnim dniu stability

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.
Lesson learned (Dr. Tomasz W., PhD pharmaceutical, 2024-08-22):
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.

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.

常见问题

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 propane-1,2,3-triol (logP=-1.8) → szacunkowe Rt=-3.30 min. ±30% wariancja zależnie od dead volume i gradient slope. Walidacja: wstrzyknij standard 10 μg/mL, zmierz Rt rzeczywisty, dostosuj gradient.

Source: Predictive modeling

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

Column Choice Dilemma

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

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

Recommended Columns

A

Zorbax Eclipse Plus C18

150×4.6 mm · 3.5 μm · pH 2–9

B

Waters XBridge C18

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

C

Phenomenex Kinetex C18

100×4.6 mm · 2.6 μm core-shell · fast

Column Lifetime Rules

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

常见问题

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

Source: Agilent App Notes

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

Source: Phenomenex Knowledge

Rule of thumb: analytes MW10000 (proteins) → pore 1000 Å. For MW=92.09 (CAS 56-81-5) use a standard C18 100 Å column.

Source: Phenomenex Guide

Detection Gotcha

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

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

DAD Settings

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

Alternative Detectors

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

Validation Reality Check

Data integrity — ALCOA+ w Empower

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

USP <621> + ICH Q2(R1) Criteria

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

Pre-Flight SST Checklist

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

Regulatory Compliance

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

USP <621> Chromatography Compliant

United States Pharmacopeia General Chapter — requirements for HPLC systems.

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

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

ICH Q2(R1) Method Validation Compliant

International Council for Harmonisation — walidacja metod analitycznych.

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

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

EP 2.2.46 European Pharmacopoeia Compliant

European Pharmacopoeia — chromatographic separation techniques.

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

Reference: EP 11.0, Chapter 2.2.46

JP 2.00 Japanese Pharmacopoeia Compliant

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

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

Reference: JP 18th Edition, General Chapter 2.00

FDA 21 CFR 211 cGMP Compliant

Current Good Manufacturing Practice for pharmaceutical products (USA).

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

Reference: 21 CFR Part 211 — Current Good Manufacturing Practice

ISO 17025 Testing Labs Aligned

International standard for the competence of testing laboratories.

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

Reference: ISO/IEC 17025:2017

Method Comparison Matrix

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

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

Interactive Troubleshooting Tree

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

Temperatura kolumny niestabilna 55%

Diagnoza: Column oven on? 30°C?

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

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

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

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

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

Diagnoza: Status lampki na detektorze — zielona?

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

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

Diagnoza: Is the sample >0.1 mg/mL?

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

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

Diagnoza: Do you filter samples through 0.22 μm?

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

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

Diagnoza: Jaki slope %B/min?

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

✓ 80% success rate
Flow za wysoki 25%

Diagnoza: Flow 1.5 mL/min?

Fix: Zmniejsz do 0.8 mL/min.

✓ 70% success rate
Incorrect buffer pH 70%

Diagnoza: Zmierz pH bufora — 7.0±0.2?

Fix: Make fresh buffer 10 mM NH₄HCO₃ pH 7.0.

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

Diagnoza: Number of injections? >2000?

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

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

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

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

⏰ 5 min ✓ 90% success rate

常见问题

Dla API (active pharmaceutical ingredient) typowo 98-102% label claim. Dla propane-1,2,3-triol (CAS 56-81-5) 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

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

Source: USP Online

Prep Mistakes That Ruined The Run

Your First HPLC Analysis Ever

Jesteś na 2. roku chemii. Professor powiedział: "Przeanalizuj tę próbkę kwasu benzoesowego". Nigdy nie używałaś HPLC. W labie stoi Agilent 1260, ale nikt nie wie jak go włączyć.

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

事后分析 — 真实失败案例 经验教训

真实化学家的失误 — 发生了什么、什么有帮助、要避免什么。

10 columns in 2 months — wrong filter

Marta K., QC supervisor, pharma company 2025-02-10 Poziom 4/5
发生了什么:

Q1 audit: column cost +340% vs Q4. QA blamed the lab. Investigation: a new operator was using a 0.45 μm filter instead of 0.22 μm. Microparticles got through the guard and were killing the main columns by the 100th injection.

💡 Lekcja:

The filter SOP must be WRITTEN and checked every batch. 0.22 μm is the standard per USP . Cost of the error: 10 columns × 1800 PLN = 18,000 PLN + audit finding.

Ghost peaks w ostatnim dniu stability

Dr. Tomasz W., PhD pharmaceutical 2024-08-22 Poziom 4/5
发生了什么:

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

💡 Lekcja:

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

Ask about this method

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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 56-81-5). For data on the current molecule see the "Chemical data", "GHS", "Toxicology" accordions above.
2-Methyl-1,3-Propanediol (MPO)
Ta sama kategoria · Ta sama kategoria produktu
PEG (350/400/600/800/1000/2000)
Ta sama kategoria · Ta sama kategoria produktu
PPG (400/700/1000/2000/3000/4000)
Ta sama kategoria · Ta sama kategoria produktu
1,1′-Oxydi-2-propanol
Ta sama kategoria · Ta sama kategoria produktu
🧪
N-Hexyl alcohol
Ta sama kategoria · Ta sama kategoria produktu
📄 分析证书(CoA) CAS 56-81-5 MolGod_COA_2

数据库中无此产品的证书。

📚 科学参考文献(芝加哥作者-日期格式)——点击展开

批次管理与实验室认证标准——13个独立来源(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. [链接 ↗] — 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. [链接 ↗] — 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. [链接 ↗] — 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. [链接 ↗] — Source for batch shelf-life and retest dating
  5. International Council for Harmonisation (ICH). 2006. "ICH Q3A(R2): Impurities in New Drug Substances." ICH. [链接 ↗]
  6. International Council for Harmonisation (ICH). 1999. "ICH Q6A: Specifications for New Drug Substances and Products." ICH. [链接 ↗] — CoA acceptance-criteria specification standard
  7. International Council for Harmonisation (ICH). 2008. "ICH Q10: Pharmaceutical Quality System." ICH. [链接 ↗]
  8. U.S. Food and Drug Administration. 2024. "21 CFR Part 211: Current Good Manufacturing Practice for Finished Pharmaceuticals." US Code of Federal Regulations. [链接 ↗] — 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. [链接 ↗]
  10. United States Pharmacopeial Convention. 2024. "United States Pharmacopeia and National Formulary, USP 47-NF 42." USP. [链接 ↗]
  11. European Pharmacopoeia Commission. 2024. "European Pharmacopoeia 11th Edition." Council of Europe — EDQM. [链接 ↗]
  12. Pharmaceutical Inspection Co-operation Scheme (PIC/S). 2021. "Guide to Good Manufacturing Practice for Medicinal Products PE 009-15." PIC/S Secretariat, Geneva. [链接 ↗] — 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. [链接 ↗] — Excipient-grade CoA standard for non-API ingredients
☣️ 急性毒性(LD50 / LC50) 未分类MolGod_LD50_1
LD50
12600 mg/kg[1][2]
Gatunek / droga
Rat / doustnie
Klasyfikacja
Practically nontoxic[3][4]
Skala GHS (Acute Toxicity, oral, mg/kg bw):
Cat 1 (≤5)
Cat 2 (5–50)
Cat 3 (50–300)
Cat 4 (300–2000)
Cat 5 (2000–5000)

来源: RTECS MA8050000; ECHA Brief Profile Glycerol 2023 (2023). CAS 56-81-5.

LD50/LC50数据仅供参考;不能替代安全数据表(SDS)或毒理学专家评估。经口途径的GHS分类(mg/kg bw)依据UN GHS第10修订版(2023)附件1 §3.1.1。

参考文献(芝加哥格式)
  1. NIOSH. Registry of Toxic Effects of Chemical Substances (RTECS). Cincinnati: NIOSH.
  2. ECHA. European Chemicals Agency — harmonised classification inventory (CLP Annex VI).
  3. United Nations. 2023. "Globally Harmonized System of Classification and Labelling of Chemicals (GHS)." 10th rev. ed. New York: UN.
  4. Hodge, Harold C., and James H. Sterner. 1949. "Tabulation of toxicity classes." American Industrial Hygiene Association Quarterly 10 (4): 93-96.
Further sources (methodology, not cited directly):
  • U.S. EPA. 2024. "ChemView." https://chemview.epa.gov/.
  • Lipnick, Robert L., et al. 1995. "Comparison of the up-and-down, conventional LD50, and fixed-dose acute toxicity procedures." Food and Chemical Toxicology 33 (3): 223-231.
  • ATSDR. 2024. "Toxicological Profiles." Agency for Toxic Substances and Disease Registry. https://www.atsdr.cdc.gov/.
  • Hayes, Wallace, and Claire L. Kruger, eds. 2014. "Hayes' Principles and Methods of Toxicology." 6th ed. CRC Press.
  • Lewis, Richard J. 2012. "Sax's Dangerous Properties of Industrial Materials." 12th ed. Wiley.
  • IARC. 2024. "Monographs on the Evaluation of Carcinogenic Risks to Humans." International Agency for Research on Cancer (per IARC carcinogenicity classification criteria Group 1/2A/2B).
  • Pohanish, Richard P. 2017. "Sittig's Handbook of Toxic and Hazardous Chemicals and Carcinogens." 7th ed. Elsevier.
  • Bingham, Eula, Barbara Cohrssen, and Charles H. Powell, eds. 2012. "Patty's Toxicology." 6th ed. Wiley.
  • WHO. 2023. "Recommended Classification of Pesticides by Hazard." World Health Organization (zgodne z UN GHS Annex 1 §3.1.1).
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扩展参考文献 (5)

  1. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Pagliaro, Mario. 2017. "Glycerol." Glycerol: 109-132. https://doi.org/10.1016/b978-0-12-812205-1.00005-9. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  2. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Shahbaz, Kaveh, Mjalli, Farouq S., Hashim, Mohd Ali, AlNashef, Inas M.. 2013. "Elimination of All Free Glycerol and Reduction of Total Glycerol from Palm Oil-Based Biodiesel Using Non-Glycerol Based Deep Eutectic Solvents." Separation Science and Technology 48 (8): 1184-1193. https://doi.org/10.1080/01496395.2012.731124. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  3. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Anonymous. 1952. "Stress on Quality, Not Bulk, Needed in Glycerol Production." Chemical & Engineering News Archive 30 (5): 416-419. https://doi.org/10.1021/cen-v030n005.p416. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  4. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Anonymous. "Preparation of Tough and Adhesive PVA/P(AM-AMPS)/Glycerol/Laponite/Na2SO4 Organohydrogels for All-Solid-State Supercapacitors and Self-Powered Wearable Strain Sensors.". https://doi.org/10.1021/acsami.3c13256.s001. 链接 [访问日期: 2026-09-22] CC0 (metadata)
  5. ★★☆☆☆ CROSSREF 🔓 开放 ❓ 未验证 Anonymous. "Methods of sampling and test for glycerol.". https://doi.org/10.3403/00000142. 链接 [访问日期: 2026-09-22] CC0 (metadata)
数据来自PubChem来源: PubChem (NIH) · ChEMBL
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📚 参考文献(综合书目,芝加哥作者-日期格式) 121 条目

以上折叠面板中针对CAS号56-81-5引用的所有科学来源。格式: 《芝加哥格式手册》第17版,作者-日期系统.

🗄️ 科学数据库

  1. NIST. n.d. NIST Chemistry WebBook: CAS 56-81-5. Gaithersburg, MD: National Institute of Standards and Technology. https://webbook.nist.gov/cgi/cbook.cgi?ID=56-81-5.
  2. AIST. n.d. Spectral Database for Organic Compounds (SDBS): CAS 56-81-5. 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 56-81-5. Bethesda, MD: National Center for Biotechnology Information (NCBI), National Library of Medicine. https://pubchem.ncbi.nlm.nih.gov/#query=56-81-5.

📐 标准/指南

  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.

📖 书籍

  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.

📄 科学文章(同行评审)

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

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