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工程纳米材料可减少金属(类)积累,提高主食产量,实现可持续农业。

Engineered nanomaterials reduce metal(loid) accumulation and enhance staple food production for sustainable agriculture.

机构信息

National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, College of Life and Environmental Science, Central South University of Forestry and Technology, Changsha, China.

Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, China.

出版信息

Nat Food. 2024 Nov;5(11):951-962. doi: 10.1038/s43016-024-01063-1. Epub 2024 Oct 11.

Abstract

Metal(loid) contaminants in food pose a global health concern. This study offers a global analysis of the impact of nanomaterials (NMs) on crop responses to metal(loid) stresses. Our findings reveal that NMs have a positive effect on the biomass production of staple crops (22.8%), while showing inhibitory effects on metal(loid) accumulation in plants (-38.3%) and oxidative damage (-21.6%) under metal(loid) stress conditions. These effects are influenced by various factors such as NM dose, exposure duration, size and composition. Here we introduce a method using interval-valued intuitionistic fuzzy values by integrating the technique for order preference by similarity to an ideal solution and entropy weights to compare the effectiveness of different NM application patterns. These results offer practical insights for the application of NMs in similar multi-criteria decision-making scenarios, contributing to sustainable agriculture and global food safety.

摘要

金属(类)污染物在食品中构成了全球性的健康问题。本研究对纳米材料(NMs)对作物应对金属(类)胁迫的影响进行了全球分析。我们的研究结果表明,在金属(类)胁迫条件下,NMs 对主要粮食作物的生物量生产具有积极影响(22.8%),同时对植物中金属(类)的积累和氧化损伤具有抑制作用(-38.3%和-21.6%)。这些影响受到 NM 剂量、暴露时间、大小和组成等各种因素的影响。在这里,我们提出了一种使用区间直觉模糊值的方法,通过整合理想解排序技术和熵权来比较不同 NM 应用模式的有效性。这些结果为 NM 在类似多准则决策情景中的应用提供了实际的见解,有助于可持续农业和全球食品安全。

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