生态毒理学研究的绿色分析化学方法:挑战和建议

IF 6.2
Paolo Pastorino , Damià Barceló
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引用次数: 0

摘要

来自工业、农业和制药活动的污染对全球生态系统构成了重大挑战。虽然环境监测和生态毒理学评估是必不可少的,但传统的分析和毒性试验方法往往依赖大量化学品,产生废物,并涉及动物试验,这引起了人们对研究本身的环境足迹的关注。发表在《绿色分析化学》杂志上的虚拟特刊“生态毒理学研究的绿色分析化学方法:挑战和建议”收到了来自印度、意大利、塞尔维亚和南非的六份投稿,突出了生态毒理学研究中的可持续替代方案。这些研究涉及的关键主题包括废水处理中废弃吸附剂的再利用、促进动物试验的道德替代品、改进药物和农药的风险评估以及推进微塑料检测。回顾和案例研究还探讨了计算毒理学、高通量测试和多生物标志物方法来评估水生生物中的纳米颗粒毒性。总之,这些贡献表明了减少分析实践对环境影响的日益增长的承诺。绿色生态毒理学的未来发展方向包括标准化方法、纳入分析过程的生命周期评估、利用计算工具和组学技术。跨学科合作对于解决新出现的污染物和确保更可持续、道德和有效的环境监测和风险评估战略至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green analytical chemistry methods for ecotoxicological studies: Challenges and recommendations
Pollution from industrial, agricultural, and pharmaceutical activities poses significant challenges to ecosystems worldwide. While environmental monitoring and ecotoxicological assessments are essential, traditional analytical and toxicity testing methods often rely on large amounts of chemicals, generate waste, and involve animal testing, raising concerns about the environmental footprint of research itself. The Virtual Special Issue (VSI) “Green analytical chemistry methods for ecotoxicological studies: challenges and recommendations”, published in Green Analytical Chemistry, received six contributions from India, Italy, Serbia, and South Africa, highlighting sustainable alternatives in ecotoxicological research. The studies addressed critical topics such as reusing spent adsorbents in wastewater treatment, promoting ethical alternatives to animal testing, improving risk assessment of pharmaceuticals and pesticides, and advancing microplastic detection. Reviews and case studies also explored computational toxicology, high-throughput testing, and multi-biomarker approaches to evaluate nanoparticle toxicity in aquatic organisms. Together, these contributions demonstrate the growing commitment to reducing the environmental impact of analytical practices. Future directions for green ecotoxicology include standardizing methods, incorporating life cycle assessments of analytical procedures, and leveraging computational tools and omics technologies. Cross-disciplinary collaboration will be essential to address emerging contaminants and ensure more sustainable, ethical, and effective environmental monitoring and risk assessment strategies.
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