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Comprehensive metabolomics to evaluate the impact of industrial processing on the phytochemical composition of vegetable purees

Overview of attention for article published in Food Chemistry, July 2014
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Title
Comprehensive metabolomics to evaluate the impact of industrial processing on the phytochemical composition of vegetable purees
Published in
Food Chemistry, July 2014
DOI 10.1016/j.foodchem.2014.07.076
Pubmed ID
Authors

Patricia Lopez-Sanchez, R.C.H. de Vos, H.H. Jonker, R. Mumm, R.D. Hall, L. Bialek, R. Leenman, K. Strassburg, R. Vreeken, T. Hankemeier, S. Schumm, J. van Duynhoven

Abstract

The effects of conventional industrial processing steps on global phytochemical composition of broccoli, tomato and carrot purees were investigated by using a range of complementary targeted and untargeted metabolomics approaches including LC-PDA for vitamins, (1)H NMR for polar metabolites, accurate mass LC-QTOF MS for semi-polar metabolites, LC-MRM for oxylipins, and headspace GC-MS for volatile compounds. An initial exploratory experiment indicated that the order of blending and thermal treatments had the highest impact on the phytochemicals in the purees. This blending-heating order effect was investigated in more depth by performing alternate blending-heating sequences in triplicate on the same batches of broccoli, tomato and carrot. For each vegetable and particularly in broccoli, a large proportion of the metabolites detected in the purees was significantly influenced by the blending-heating order, amongst which were potential health-related phytochemicals and flavour compounds like vitamins C and E, carotenoids, flavonoids, glucosinolates and oxylipins. Our metabolomics data indicates that during processing the activity of a series of endogenous plant enzymes, such as lipoxygenases, peroxidases and glycosidases, including myrosinase in broccoli, is key to the final metabolite composition and related quality of the purees.

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Geographical breakdown

Country Count As %
United States 2 1%
Greece 1 <1%
Belgium 1 <1%
South Africa 1 <1%
Unknown 139 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 20%
Student > Ph. D. Student 26 18%
Researcher 20 14%
Student > Doctoral Student 11 8%
Student > Bachelor 9 6%
Other 25 17%
Unknown 24 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 39%
Chemistry 13 9%
Engineering 12 8%
Medicine and Dentistry 6 4%
Biochemistry, Genetics and Molecular Biology 6 4%
Other 18 13%
Unknown 33 23%