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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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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利用核磁共振广泛靶向代谢组学对农业系统进行分类：以花椰菜为例研究

有机农业和传统农业系统都遵循一套特定的规则，消费者通常会为有机产品支付额外的价格，因为有机产品的质量更高。核磁共振允许以快速，非破坏性和自动的方式分析代谢组，具有化学家族的高覆盖率和准确的定量。利用核磁共振对连续两年两种栽培体系获得的花椰菜伞苗进行了分析，并对栽培体系进行了正确的分类。11种代谢物和3种代谢物在第一年和第二年在有机伞生花序中浓度显著升高，说明栽培年份对寻找有机农产品标记物的影响。这些包括氨基酸（丙氨酸）、嘌呤（黄嘌呤）、有机酸和含n化合物（胆碱），显示出它们更高的营养质量。

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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.