Literature DB >> 19731933

Variance in the chemical composition of dry beans determined from UV spectral fingerprints.

James M Harnly1, Marcial A Pastor-Corrales, Devanand L Luthria.   

Abstract

Nine varieties of dry beans representing five market classes were grown in three locations (Maryland, Michigan, and Nebraska), and subsamples were collected for each variety (row composites from each plot). Aqueous methanol extracts of ground beans were analyzed in triplicate by UV spectrophotometry. Analysis of variance-principal component analysis was used to quantify the relative variance arising from location, variety, between rows of plants, and analytical uncertainty and to test the significance of differences in the chemical composition. Statistically significant differences were observed between all three locations, between all nine varieties, and between rows for each variety. PCA score plots placed the nine varieties in four categories that corresponded with known taxonomic groupings: (1) black beans (cv. Jaguar and cv. T-39), (2) pinto beans (cv. Buster and cv. Othello), (3) small red beans (cv. Merlot), and (4) great northern (cv. Matterhorn and cv. Weihing) and navy (cv. Seahawk and cv. Vista) beans. The relative plant-to-plant variance, estimated from the between row variance, was 71-79% for 25-40 plants per row.

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Year:  2009        PMID: 19731933     DOI: 10.1021/jf900852y

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  6 in total

1.  Mass spectroscopic fingerprinting method for differentiation between Scutellaria lateriflora and the germander (Teucrium canadense and T. chamaedrys) species.

Authors:  Pei Chen; Long-Ze Lin; James M Harnly
Journal:  J AOAC Int       Date:  2010 Jul-Aug       Impact factor: 1.913

2.  Flow injection mass spectral fingerprints demonstrate chemical differences in Rio Red grapefruit with respect to year, harvest time, and conventional versus organic farming.

Authors:  Pei Chen; James M Harnly; Gene E Lester
Journal:  J Agric Food Chem       Date:  2010-04-28       Impact factor: 5.279

3.  Discrimination among Panax species using spectral fingerprinting.

Authors:  Pei Chen; Devanand Luthria; Peter de B Harrington; James M Harnly
Journal:  J AOAC Int       Date:  2011 Sep-Oct       Impact factor: 1.913

4.  Protein and Metalloprotein Distribution in Different Varieties of Beans (Phaseolus vulgaris L.): Effects of Cooking.

Authors:  Aline P Oliveira; Geyssa Ferreira Andrade; Bianca S O Mateó; Juliana Naozuka
Journal:  Int J Food Sci       Date:  2017-02-23

5.  Compositional Analysis of Non-Polar and Polar Metabolites in 14 Soybeans Using Spectroscopy and Chromatography Tools.

Authors:  Raghavendhar R Kotha; Savithiry Natarajan; Dechun Wang; Devanand L Luthria
Journal:  Foods       Date:  2019-11-07

6.  A flow-injection mass spectrometry fingerprinting scaffold for feature selection and quantitation of Cordyceps and Ganoderma extracts in beverage: a predictive artificial neural network modelling strategy.

Authors:  Chee Wei Lim; Siew Hoon Tai; Sheot Harn Chan
Journal:  AMB Express       Date:  2012-08-13       Impact factor: 3.298

  6 in total

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