Classification of farming systems by NMR widely targeted metabolomics: A cauliflower case study

IF 4 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis Pub Date : 2024-11-24 DOI:10.1016/j.jfca.2024.107018

Federico I. Brigante , Pavel Solovyev , Simona Fabroni , Gabriele Campanelli , Francesco Montemurro , Luana Bontempo

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引用次数: 0

Abstract

Organic and conventional farming systems follow a set of specific rules and consumers usually pay an extra price for organic products, since they are associated with a higher quality. Nuclear magnetic resonance allows the analysis of the metabolome in a fast, non-destructive, and automatic way, with high coverage of chemical families and accurate quantification. Cauliflower corymbs obtained from two farming systems in two consecutive years were analyzed by ¹H NMR and cultivation systems were correctly classified by this approach. Eleven and 3 metabolites showed significantly higher concentrations in organic corymbs in the first and second year, respectively, indicating the impact of cultivation year in the search for markers in organic produce. These included amino acids (alanine), purines (xanthine), organic acids, and N-containing compounds (choline), demonstrating their higher nutritional quality.

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来源期刊

Journal of Food Composition and Analysis 工程技术-食品科技

CiteScore

6.20

自引率

11.60%

发文量

601

审稿时长

53 days

期刊介绍： The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.