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铁基纳米材料 (Fe NMs) 在胁迫环境下对植物的影响:机器学习辅助的荟萃分析。

The effects of iron-based nanomaterials (Fe NMs) on plants under stressful environments: Machine learning-assisted meta-analysis.

机构信息

College of Chemical Engineering, Beijing University of Chemical Technology, Beijing, 100029, PR China.

Institute of Resources and Environment, Beijing Academy of Science and Technology, Beijing, 100095, PR China.

出版信息

J Environ Manage. 2024 Mar;354:120406. doi: 10.1016/j.jenvman.2024.120406. Epub 2024 Feb 18.

Abstract

Mitigating the adverse effects of stressful environments on crops and promoting plant recovery in contaminated sites are critical to agricultural development and environmental remediation. Iron-based nanomaterials (Fe NMs) can be used as environmentally friendly nano-fertilizer and as a means of ecological remediation. A meta-analysis was conducted on 58 independent studies from around the world to evaluate the effects of Fe NMs on plant development and antioxidant defense systems in stressful environments. The application of Fe NMs significantly enhanced plant biomass (mean = 25%, CI = 20%-30%), while promoting antioxidant enzyme activity (mean = 14%, CI = 10%-18%) and increasing antioxidant metabolite content (mean = 10%, CI = 6%-14%), reducing plant oxidative stress (mean = -15%, CI = -20%∼-10%), and alleviating the toxic effects of stressful environments. The observed response was dependent on a number of factors, which were ranked in terms of a Random Forest Importance Analysis. Plant species was the most significant factor, followed by Fe NM particle size, duration of application, dose level, and Fe NM type. The meta-analysis has demonstrated the potential of Fe NMs in achieving sustainable agriculture and the future development of phytoremediation.

摘要

减轻胁迫环境对作物的不利影响,促进污染场地植物的恢复,这对农业发展和环境修复至关重要。铁基纳米材料(Fe NMs)可用作环保型纳米肥料和生态修复手段。对来自世界各地的 58 项独立研究进行了荟萃分析,以评估 Fe NMs 对胁迫环境下植物发育和抗氧化防御系统的影响。应用 Fe NMs 可显著提高植物生物量(平均值=25%,置信区间=20%-30%),同时促进抗氧化酶活性(平均值=14%,置信区间=10%-18%)和增加抗氧化代谢物含量(平均值=10%,置信区间=6%-14%),降低植物氧化应激(平均值=-15%,置信区间=-20%∼-10%),减轻胁迫环境的毒害作用。观察到的反应取决于许多因素,这些因素根据随机森林重要性分析进行了排序。植物物种是最重要的因素,其次是 Fe NM 粒径、应用持续时间、剂量水平和 Fe NM 类型。荟萃分析表明,Fe NMs 在实现可持续农业和未来植物修复发展方面具有潜力。

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