Fatty Acid Profile-Based Chemometrics to Differentiate Metabolic Variations in Sorghum

Endalkachew Mengistie, Abdulbaset M. Alayat, Farid Sotoudehnia, Norbert Bokros, Seth DeBolt, Armando G. McDonald

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The extractive content and fatty acid profiles of Della and REDforGREEN (RG) sweet Sorghum varieties grown in two different seasons have been evaluated. The stalk internodes and nodes were quantitatively extracted with CH2Cl2. The extracts were converted to their fatty acid methyl ester (FAME) derivatives and analyzed by gas chromatography-mass spectrometry (GCMS). The main fatty acids detected were azelaic (C9:0), lauric (C12:0), myristic (C14:0), palmitic (C16:0), palmitoleic (C16:1), stearic (C18:0), oleic (C18:1), linoleic (C18:2), and eicosanoic acids (C20:1). Fatty acids were considered as chemical descriptors of varieties to evaluate metabolic variations, where principal component analysis (PCA) and linear discriminant analysis (LDA) multivariate analysis methods were applied. LDA allowed discrimination between Della and RG varieties with higher prediction accuracy, suggesting metabolic variations between them. The high predictive power suggests the use of a fatty acid composition as a fingerprint to reveal metabolic variations.

Original languageEnglish
Pages (from-to)2127-2134
Number of pages8
JournalACS Food Science and Technology
Volume1
Issue number11
DOIs
StatePublished - Dec 17 2021

Bibliographical note

Funding Information:
The authors would like to acknowledge the University of Idaho Equipment and Infrastructure Support (EIS) Award Program from the Office of Research and Economic Development (ORED) RISE Funding Program and the College of Natural Resources to support the purchase of the GCMS.

Funding Information:
The authors are grateful for the financial support of this research from the National Science Foundation Grant # 1826715.

Publisher Copyright:
© 2021 American Chemical Society.

Keywords

  • FAME
  • fatty acids
  • linear discriminant analysis
  • principal component analysis
  • sorghum stalks

ASJC Scopus subject areas

  • Food Science
  • Analytical Chemistry
  • Organic Chemistry
  • Chemistry (miscellaneous)

Fingerprint

Dive into the research topics of 'Fatty Acid Profile-Based Chemometrics to Differentiate Metabolic Variations in Sorghum'. Together they form a unique fingerprint.

Cite this