Proximate analysis and nutritional evaluation of twenty Canadian lentils by principal component and cluster analyses

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DOI

https://doi.org/10.3390/foods9020175

Language of the publication
English
Date
2020-02-11
Type
Article
Author(s)
  • Ramdath, D. Dan
  • Lu, Zhan-Hui
  • Maharaj, Padma L.
  • Winberg, Jordan
  • Brummer, Yolanda
  • Hawke, Aileen
Publisher
MDPI

Alternative title

Proximate analysis and nutritional evaluation of twenty Canadian lentils by principal component and cluster analyses

Abstract

Proximate composition and starch nutritional properties of twenty cooked lentils were assessed to identify unique varieties that could be used in value added foods. Significant variations exist among the lentil varieties (p < 0.05) with respect to their energy, fat, protein, carbohydrate, and dietary fiber content, and these are related to lentil type and seed size. Dazil and Greenstar were unique for their high resistant starch content (RS) and lower area under the starch hydrolysis curve (SHAUC) while Proclaim was opposite. SHAUC was positively correlated (p < 0.001) with rapidly digestible starch (RDS) content (r = 0.626) but negatively correlated with RS content (r = −0.635). Principal component analysis showed that the first three principal components accounted for 62.8% of the total variance and the contribution of SHAUC was 33.2%. These results confirm that in vitro SHAUC and a combination of RDS and RS may be predictive of the digestibility profile of cooked lentils.

Subject

  • Agriculture

Keywords

  • lentils,
  • starch digestibility,
  • hydrolysis curve,
  • resistant starch,
  • dietary fiber

Peer review

Yes

Open access level

Gold

Identifiers

ISSN
2304-8158

Article

Journal title
Foods
Journal volume
9
Journal issue
2

Citation(s)

Ramdath, D. D., Lu, Z.-H., Maharaj, P. L., Winberg, J., Brummer, Y., & Hawke, A. (2020). Proximate analysis and nutritional evaluation of twenty Canadian lentils by principal component and cluster analyses. Foods, 9(2). https://doi.org/10.3390/foods9020175

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Collection(s)

Food and beverages

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