数字农科院2.0

Analytical Methodologies for Agrometallomics: A Critical Review

文献类型： 外文期刊

作者： Xue Li;Tengpeng Liu;Chunyan Chang;Yajie Lei;Xuefei Mao

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关键词： agrometallomics;atomic spectrometry;energy spectroscopy;inorganic mass spectrometry;microanalysis;multielemental analysis;speciation analysis

期刊名称： Journal of agricultural and food chemistry

ISSN： 1520-5118

年卷期： 2021 年 69.0 卷 22.0 期

页码：

收录情况： JCR（2021版） ; EI（2021版）

摘要： Agrometallomics, as an independent interdiscipline, is first defined and described in this review. Metallic elements widely exist in agricultural plants, animals and edible fungi, seed, fertilizer, pesticide, feedstuff, as well as the agricultural environment and ecology, and even functional and pathogenic microorganisms. So, the agrometallome plays a vital role in molecular and organismic mechanisms like environmetallomics, metabolomics, proteomics, lipidomics, glycomics, immunomics, genomics, etc. To further reveal the inner and mutual mechanism of the agrometallome, comprehensive and systematic methodologies for the analysis of beneficial and toxic metals are indispensable to investigate elemental existence, concentration, distribution, speciation, and forms in agricultural lives and media. Based on agrometallomics, this review summarizes and discusses the advanced technical progress and future perspectives of metallic analytical approaches, which are categorized into ultrasensitive and high-throughput analysis, elemental speciation and state analysis, and spatial- and microanalysis. Furthermore, the progress of agrometallomic innovativeness greatly depends on the innovative development of modern metallic analysis approaches including, but not limited to, high sensitivity, elemental coverage, and anti-interference; high-resolution isotopic analysis; solid sampling and nondestructive analysis; metal chemical species and metal forms, associated molecular clusters, and macromolecular complexes analysis; and metal-related particles or metal within the microsize and even single cell or subcellular analysis.

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