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Differential sensing for the regio- and stereoselective identification and quantitation of glycerides.
Proc. Natl. Acad. Sci. U.S.A. 112, E3977-E3986 (2015)
Glycerides are of interest to the areas of food science and medicine because they are the main component of fat. From a chemical sensing perspective, glycerides are challenging analytes because they are structurally similar to one another and lack diversity in terms of functional groups. Furthermore, because animal and plant fat consists of a number of stereo- and regioisomeric acylglycerols, their components remain challenging analytes for chromatographic and mass spectrometric determination, particularly the quantitation of species in mixtures. In this study, we demonstrated the use of an array of cross-reactive serum albumins and fluorescent indicators with chemometric analysis to differentiate a panel of mono-, di-, and triglycerides. Due to the difficulties in identifying the regio- and stereochemistry of the unsaturated glycerides, a sample pretreatment consisting of olefin cross-metathesis with an allyl fluorescein species was used before array analysis. Using this simple assay, we successfully discriminated 20 glycerides via principal component analysis and linear discriminant analysis (PCA and LDA, respectively), including stereo- and regioisomeric pairs. The resulting chemometric patterns were used as a training space for which the structural characteristics of unknown glycerides were identified. In addition, by using our array to perform a standard addition analysis on a mixture of triglycerides and using a method introduced herein, we demonstrated the ability to quantitate glyceride components in a mixture.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Array Sensing ; Chemometrics ; Differential Sensing ; Glyceride ; Serum Albumin; Human-serum-albumin; Ionization Mass-spectrometry; Hormone-sensitive Lipase; Standard Addition Method; Fatty-acids; 2nd-order Advantage; Lipid-metabolism; Triacylglycerols; Isomers; Binding
ISSN (print) / ISBN
0027-8424
e-ISSN
1091-6490
Quellenangaben
Volume: 112,
Issue: 30,
Pages: E3977-E3986
Publisher
National Academy of Sciences
Publishing Place
Washington
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Diabetes and Obesity (IDO)