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http://223.31.159.10:8080/jspui/handle/123456789/1416
Title: | Assessment of diversity in anti-nutrient profile, resistant starch, minerals and carbohydrate components in different ricebean (Vigna umbellata) accessions |
Authors: | Sharma, Paras Goudar, Giridhar Chandragiri, Anil Kumar Ananthan, R Subhash, K Chauhan, Anitha Longvah, T Singh, Mohar Bhardwaj, Rakesh Parida, Swarup K. Singh, Amit Kumar Gayacharan Chattopadhyay, Debasis |
Keywords: | Ricebean Anti-nutrients Minerals Free sugars Resistant starch HPLC Phytic acid minerals molar ratio |
Issue Date: | 2023 |
Publisher: | Elsevier B.V. |
Citation: | Food Chemistry, 405(Part A): 134835 |
Abstract: | Ricebean accessions (n = 38) cultivated in India were evaluated for their comprehensive nutrient, anti-nutrients and mineral composition. Protein and total dietary fibre ranged between 23.23 and 27.33 and 12.27 to 16.69 g/100 g, respectively. Among the oligosaccharides, verbascose was not detected, however, raffinose and stachyose ranged between 47 and 186 and 117 to 5765 mg/100 g, respectively. Among the free sugars, sucrose was found dominating (up to 370 mg/100 g). Resistant starch (4.13 to 8.62 %), iron (3.49 to 7.46 mg/100 g), zinc (1.90 to 3.72 mg/100 g) and selenium (0.28 to 4.48 µg/100 g) varied significantly (p < 0.05) among ricebean samples. Phytic acid, saponin, trypsin inhibitor and oxalate analysed in ricebean accessions ranged between 303 and 760 mg/100 g, 19 to 46 mg/g, 309 to 1076 mg/100 g and 219 to 431 mg/100 g, respectively. Multivariate analysis using hierarchical clustering analysis (HCA), and principal component analysis (PCA) was employed to decipher the diversity of nutrients and anti-nutrients across the ricebean accessions. Based on HCA, dendrogram-1 (nutrients) and dendrogram-2 (minerals, anti-nutrients) were produced, having four clusters in each. In the dendrogram-1 and 2, the largest cluster had (n = 21) and (n = 15) accessions, respectively. The PCA analyse the uncorrelated set of variables (principal components) and it condenses a large set of data variables. Based on the eigenvalue >1, a total of eight PCs were formed contributing total variance of 78.8 %. The factor loading contribution in the PC1 and PC2 were from iron, fructose, glucose, raffinose and total dietary fibre, selenium (Se) and protein, respectively. |
Description: | Accepted date: 31 October 2022 |
URI: | https://www.sciencedirect.com/science/article/pii/S0308814622027972?via%3Dihub http://223.31.159.10:8080/jspui/handle/123456789/1416 |
ISSN: | 0308-8146 |
Appears in Collections: | Institutional Publications |
Files in This Item:
File | Description | Size | Format | |
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Chattopadhyay D_2022_4.pdf Restricted Access | 2.94 MB | Adobe PDF | View/Open Request a copy |
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