环境监测中样品前处理技术的创新与优化

Innovation and optimization of sample pretreatment technology in environmental monitoring

环境质量监测与评估对于保护生态系统和人类健康至关重要。在环境监测中,样品前处理技术扮演着关键角色,能够通过提取、净化和富集样品来提高监测结果准确性和灵敏度。然而,传统样品前处理方法存在诸多不足,例如操作复杂、耗时长、样品损失大等。因此,寻求新的创新与优化的样品前处理技术已经成为当前的研究热点。在过去几年里,许多新兴前处理技术已经被引入到环境监测中,并取得了显著进展。本文则以文献研究法为主,结合自己的认知与实践,针对环境监测中样品前处理技术创新及优化改进措施提出自己的几点认识。

Environmental quality monitoring and assessment are crucial for protecting ecosystems and human health.In environmental monitoring,sample pretreatment techniques play a key role in improving the accuracy and sensitivity of monitoring results by extracting,purifying,and enriching samples.However,traditional sample pretreatment methods have many shortcomings,such as complexity,long duration,and significant sample loss.Therefore,seeking new innovative and optimized sample pretreatment techniques has become a current research hotspot.In recent years,many emerging pretreatment techniques have been introduced into environmental monitoring and have made significant progress.This paper,based on literature research and personal insights and practices,proposes several perspectives on the innovation and optimization of sample pretreatment techniques in environmental monitoring.