1. Diversity in nutritional and functional quality of sorghum restorer lines collection.
- Author
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JAĆIMOVIĆ, SIMONA, KIPROVSKI, BILJANA, SIKORA, VLADIMIR, PEZO, LATO, and PANTELIĆ, NEBOJŠA Đ.
- Subjects
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ARTIFICIAL neural networks , *SORGHUM , *BIOACTIVE compounds , *PHENOLS , *FUNCTIONAL foods , *TANNINS - Abstract
This study aimed to examine and compare the main nutritional quality parameters and bioactive compounds of sorghum (Sorghum bicolor L. Moench) grain in order to select genotypes suitable for human consumption and predict genotypes with higher antioxidant capacity. Sorghum grains from the restorer lines collection (172 genotypes) were analysed for their nutritional quality (ash, protein, fat and starch), phenolic compounds content (total phenolics, tannins, flavonoids and anthocyanins), as well as for antioxidant activity and colour parameters. The content of the studied items was 1.6-6.6 % for total lipids, 8.7-19.8 % for proteins, 1.2-3.7 % for ash and 57.1-93.3 % for starch. Total phenolics content was 0.6-11.3 g·kg-1 (expressed as GAE) in methanolic extracts and 1.1-17.1 g·kg-1 (expressed as GAE) in acetone extracts, while the highest antioxidant activity was 90.4 %. There was no correlation between colour and tannin content. The expected and experimentally obtained antioxidant activity confirmed the effectiveness of artificial neural network as a predictive tool. This study showed that sorghum is a valuable material for developing functional food products and it has potential if cultivated in the European climate. [ABSTRACT FROM AUTHOR]
- Published
- 2024