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The quantitative analysis of triglyceride mixtures by thin layer chromatography on silica impregnated with silver nitrate

Barrett, C. B., Dallas, M. S. J., Padley, F. B.·1963·Journal of the American Oil Chemists' Society

Abstract

The paper describes a procedure involving thin layer chromatography on silica impregnated with silver nitrate, which makes possible the separation of synthetic and natural glyceride mixtures into classes according to their degree of unsaturation, and within those classes the resolution of certain isomeric unsaturated glycerides. The separations depend upon the ability of compounds having an olefinic double bond to form co‐ordination complexes with the silver ion. For qualitative analysis, developed chromatoplates are sprayed with dibromofluorescein. Reliable quantitative data may be obtained by charring the separated glycerides with phosphoric acid under carefully controlled conditions, and comparing the densities of the charred areas by means of a photodensitometer. Experiments with mixtures of pure synthetic glycerides revealed an error of less than 3%. Glyceride compositions of a number of natural fats have been determined, and compared with compositions obtained by enzymetic hydrolysis of the same samples.

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Metadata

Authors
Barrett, C. B., Dallas, M. S. J., & Padley, F. B.
Venue
Journal of the American Oil Chemists' Society
Publisher
Wiley
Published
1963-10
Volume
40
Issue
10
Pages
580-584
ISSN
  • 0003-021X (ISSN-L)
  • 1558-9331
OpenAlex
W2324266717
Cited by
186
References
0
FWCI
16.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The quantitative analysis of triglyceride mixtures by thin layer chromatography on silica impregnated with silver nitrate. https://app.cochat.ai/papers/10.1007/bf02822471
The paper
Barrett, C. B., Dallas, M. S. J., & Padley, F. B. (1963). The quantitative analysis of triglyceride mixtures by thin layer chromatography on silica impregnated with silver nitrate. Journal of the American Oil Chemists' Society. https://doi.org/10.1007/bf02822471

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.