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85679

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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A propos de cet article

Formule linéaire :
CH3(CH2)16COOH
Numéro CAS:
57-11-4
Poids moléculaire :
284.48
UNSPSC Code:
85151701
NACRES:
NA.24
PubChem Substance ID:
329769400
EC Number:
200-313-4
Beilstein/REAXYS Number:
608585
MDL number:
MFCD00002752
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grade

analytical standard

Quality Level

100

vapor pressure

1 mmHg ( 173.7 °C)

assay

≥98.5%

shelf life

limited shelf life, expiry date on the label

technique(s)

HPLC: suitable, gas chromatography (GC): suitable

bp

361 °C (lit.)

mp

67-72 °C (lit.)

application(s)

cleaning products
cosmetics
food and beverages
personal care

format

neat

functional group

carboxylic acid

shipped in

ambient

storage temp.

room temp

SMILES string

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)

InChI key

QIQXTHQIDYTFRH-UHFFFAOYSA-N

General description

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

Other Notes

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

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Classe de stockage

11 - Combustible Solids

wgk

nwg

flash_point_f

Not applicable

flash_point_c

Not applicable

ppe

dust mask type N95 (US), Eyeshields, Gloves

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Certificats d'analyse (COA)

Lot/Batch Number
BCCM4478
BCCK3733
BCCG8396
BCCF5941
BCCD7236

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Consulter la Bibliothèque de documents

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)
Handbook of Corrosion Data (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
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