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Key Documents

85679

Supelco

Acide stéarique

analytical standard

Synonyme(s) :

1-Heptadecanecarboxylic acid, C18:0, Cetylacetic acid, NSC 25956, NSC 261168, Octadecanoic acid, Stearophanic acid

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About This Item

Formule linéaire :
CH3(CH2)16COOH
Numéro CAS:
Poids moléculaire :
284.48
Numéro Beilstein :
608585
Numéro CE :
Numéro MDL:
Code UNSPSC :
85151701
ID de substance PubChem :
Nomenclature NACRES :
NA.24

Qualité

analytical standard

Niveau de qualité

Pression de vapeur

1 mmHg ( 173.7 °C)

Pureté

≥98.5%

Durée de conservation

limited shelf life, expiry date on the label

Technique(s)

HPLC: suitable
gas chromatography (GC): suitable

Point d'ébullition

361 °C (lit.)

Pf

67-72 °C (lit.)

Application(s)

cleaning products
cosmetics
food and beverages
personal care

Format

neat

Groupe fonctionnel

carboxylic acid

Conditions d'expédition

ambient

Température de stockage

room temp

Chaîne SMILES 

CCCCCCCCCCCCCCCCCC(O)=O

InChI

1S/C18H36O2/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18(19)20/h2-17H2,1H3,(H,19,20)

Clé InChI

QIQXTHQIDYTFRH-UHFFFAOYSA-N

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Description générale

Stearic acid belongs to the group of saturated long-chain fatty acids, commonly found in animal and plant fats.

Application

This analytical standard can also be used as follows:
  • Development of a non-destructive Vis-NIR reflectance spectroscopy-based method for the detection of four fatty acids in 93 samples of seven different edibles oils
  • Simultaneous identification and quantification of fatty acids from blood plasma samples after their methyl derivatization by large-volume injection (LVI) gas chromatography combined with vacuum ultraviolet spectroscopy (GC-VUV)
  • Determination of the fatty acid composition of sunflower seed oils extracted from 93 different sunflower varieties by near-infrared reflectance spectroscopy (NIRS) combined with modified partial least squares (MPLS) and partial least squares (PLS) regression methods
  • Identification and quantification of fatty acids in various herbal anti-diabetic formulations by gas chromatography-mass spectrometry (GC-MS)
  • Multi-residue analysis of oleic acid and other related fatty acids using a derivatization-free method based on gas chromatography-flame ionization detection (GC-FID)
  • Ultra-performance liquid chromatography-mass spectrometry (UHPLC) method-based separation, identification, and determination of eight saturated and unsaturated fatty acids in eight different commercial samples of olive oil without any prior sample treatment
  • Development of a liquid chromatography-mass spectrometry (LC-MS) method to measure seven fatty acid esters of hydroxy fatty acids (FAHFAs), four fatty acids, and four cardiovascular-related biomarkers in plasma samples of 57 healthy individuals

Autres remarques

Refer to the product′s Certificate of Analysis for more information on a suitable instrument technique. Contact Technical Service for further support.

Produits recommandés

Find a digital Reference Material for this product available on our online platform ChemisTwin® for NMR. You can use this digital equivalent on ChemisTwin® for your sample identity confirmation and compound quantification (with digital external standard). An NMR spectrum of this substance can be viewed and an online comparison against your sample can be performed with a few mouseclicks. Learn more here and start your free trial.

Code de la classe de stockage

11 - Combustible Solids

Classe de danger pour l'eau (WGK)

nwg

Point d'éclair (°F)

Not applicable

Point d'éclair (°C)

Not applicable

Équipement de protection individuelle

dust mask type N95 (US), Eyeshields, Gloves


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Certificats d'analyse (COA)

Lot/Batch Number

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Les clients ont également consulté

Handbook of Corrosion Data (1994)
Influence of stearic acid on cholesterol metabolism relative to other long-chain fatty acids
Grundy MS
American Journal of Clinical Nutrition, 60, 986S-990S (1994)
Tracey N Bell et al.
ACS omega, 5(42), 27393-27400 (2020-11-03)
Information contained in the sequences of biological polymers such as DNA and protein is crucial to determining their function. Lipids are not generally thought of as information-containing molecules. However, from a supramolecular perspective, the number of possible combinations of lipids
Stephan Laggai et al.
World journal of hepatology, 5(10), 558-567 (2013-11-02)
To establish a simple method to quantify lipid classes in liver diseases and to decipher the lipid profile in p62/IMP2-2/IGF2BP2-2 transgenic mice. Liver-specific overexpression of the insulin-like growth factor 2 mRNA binding protein p62/IMP2-2/IGF2BP2-2 was used as a model for
Palle J Pedersen et al.
Journal of medicinal chemistry, 53(9), 3782-3792 (2010-04-22)
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