环境样品制备的最新进展:纳米材料、自动化和可持续策略

IF 6.5 Q1 CHEMISTRY, ANALYTICAL
Federico Belén , Julián Gutiérrez , Valeria Springer
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引用次数: 0

摘要

随着环境基质中微污染物的不断增加以及对其进行监测的需要,人们需要更有效和准确的分析方法。特别是,样品制备程序是必要的,以解决环境样品的复杂性,同时确保高灵敏度。为了满足这些需求,各种纳米材料(NMs)被提出作为萃取相来发展小型化吸附剂萃取方法。这些纳米材料,从碳基纳米结构和金属基或金属氧化物纳米颗粒,到金属有机复合材料,都处于创新的前沿,因为它们具有特殊的表面积,可调的性能,易于功能化,在某些情况下,绿色生产路线。另一方面,(半)自动化平台的发展促进了高通量和可重复的样品处理,显著减少了试剂、时间和劳动力的使用。这篇综述强调了NMs和自动化在过去五年中在推进样品制备方法方面的关键作用,与绿色样品制备(GSP)指南保持一致。此外,在开发现代样品制备方法的背景下,讨论了新兴技术(如3D打印)的集成。最近的贡献包括小型化平台、绿色纳米吸附剂和自动化处理步骤的集成,它们有潜力为监测环境基质中的微污染物提供高效、经济的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Recent advances in environmental sample preparation: Nanomaterials, automation, and sustainable strategies

Recent advances in environmental sample preparation: Nanomaterials, automation, and sustainable strategies
The increasing occurrence of micropollutants and the need for their monitoring in environmental matrices have driven the demand for more efficient and accurate analytical methods. In particular, sample preparation procedures are essential for addressing the complexity of environmental samples while ensuring high sensitivity. To meet these demands, various nanomaterials (NMs) have been proposed as extractive phases for development of miniaturized sorbent-based extraction approaches. These NMs, ranging from carbon-based nanostructures and metal-based or metal oxide nanoparticles, to metal–organic composites, are at the forefront of innovation due to their exceptional surface areas, tunable properties, ease of functionalization and, in some cases, green production routes. On the other hand, the development of (semi)automated platforms has facilitated high-throughput and reproducible sample processing, significantly reducing the use of reagents, time, and labor. This review highlights the pivotal role of NMs and automation in advancing sample preparation methodologies over the past five years, in alignment with green sample preparation (GSP) guidelines. Additionally, the integration of emerging technologies, such as 3D printing, is discussed in the context of developing modern sample preparation methods. Recent contributions involving miniaturized platforms, green nanosorbents, and the integration of processing steps with automation, are evaluated for their potential to provide highly efficient, cost-effective solutions for monitoring micropollutants in environmental matrices.
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