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.
|Number of pages||8|
|Journal||ACS Food Science and Technology|
|State||Published - Dec 17 2021|
Bibliographical noteFunding 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.
The authors are grateful for the financial support of this research from the National Science Foundation Grant # 1826715.
© 2021 American Chemical Society.
- fatty acids
- linear discriminant analysis
- principal component analysis
- sorghum stalks
ASJC Scopus subject areas
- Food Science
- Analytical Chemistry
- Organic Chemistry
- Chemistry (miscellaneous)