Assessment of diversity in anti-nutrient profile, resistant starch, minerals and carbohydrate components in different ricebean (Vigna umbellata) accessions

营养物 植酸 棉子糖 树状图 食品科学 淀粉 化学 植物 UPGMA公司 维格纳 生物 蔗糖 生物化学 遗传多样性 人口 有机化学 人口学 社会学 基因型 基因
作者
Paras Sharma,Giridhar Goudar,Anil Kumar Chandragiri,R. Ananthan,K. Subhash,Anitha Chauhan,T. Longvah,Mohar Singh,Rakesh Bhardwaj,Swarup K. Parida,Amit Kumar Singh,C. Gayacharan,Debasis Chattopadhyay
出处
期刊:Food Chemistry [Elsevier BV]
卷期号:405 (Pt A): 134835-134835 被引量:18
标识
DOI:10.1016/j.foodchem.2022.134835
摘要

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.
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