Sustainable remediation technologies for removal of pesticides as organic micro-pollutants from water environments: A review

IF 7.5 Q1 CHEMISTRY, PHYSICAL
Mohammad Hadi Dehghani , Shabnam Ahmadi , Soumya Ghosh , M. Shahnawaz Khan , Amina Othmani , Waheed Ahmad Khanday , Ömür Gökkuş , Christian Osagie , Md. Ahmaruzzaman , Soumya Ranjan Mishra , Eder C. Lima , Nabisab Mujawar Mubarak , Rama Rao Karri , Khalid Ansari
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引用次数: 0

Abstract

Pesticides usage has tremendously increased to enhance crop production; however some pesticides are toxic and harmful to human health and the environment. This review discusses the eco-toxicological impacts of pesticides on the environment. This study extensively evaluates various sustainable remediation technologies such as advanced oxidation processes (AOPs), electrochemical processes, membrane separation, and adsorbent types (carbon nanotubes, carbon nanofiber, carbon aerogel, graphene oxide, carbon dot, biochar, biosorbents, polymers, metal-organic framework, and nanocomposite) that are used for removal of toxic pesticides from aqueous bodies. Further, various equilibrium isotherm and kinetic models that are used for understanding the mechanisms along with challenges in the techniques are discussed. From the studies, it is observed that the nanocomposites could degrade and remove pesticides efficiently due to their unique properties, making them promising adsorbents for water and wastewater remediation. This review will be an inclusive paper for readers to easily define research gaps and develop novel treatment methods for removing pesticide-contaminated waters.

去除水环境中作为有机微污染物的农药的可持续修复技术:综述
为了提高作物产量,农药的使用量大幅增加;然而,有些农药是有毒的,对人类健康和环境有害。本综述讨论了农药对环境的生态毒理学影响。本研究广泛评估了各种可持续修复技术,如高级氧化工艺(AOPs)、电化学工艺、膜分离和吸附剂类型(碳纳米管、碳纳米纤维、碳气凝胶、氧化石墨烯、碳点、生物炭、生物吸附剂、聚合物、金属有机框架和纳米复合材料),这些技术可用于去除水体中的有毒农药。此外,还讨论了用于了解机理的各种平衡等温线和动力学模型,以及这些技术所面临的挑战。从研究中可以看出,纳米复合材料因其独特的性质,可以有效地降解和去除农药,使其成为有前途的水和废水修复吸附剂。这篇综述将是一篇具有包容性的论文,便于读者明确研究差距,并开发新型处理方法,以去除受农药污染的水体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.10
自引率
1.60%
发文量
128
审稿时长
66 days
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