快速,easy,便宜,有效,崎岖,安全(QuEChERS)方法广泛应用于农产品样品预处理中,食物,环境,等。而纳米材料因其尺寸小、比表面积大等特点被广泛应用于QuEChERS方法中。在这次审查中,我们考察了几种常用纳米材料在改进QuEChERS方法中的典型应用。这些材料包括多壁碳纳米管(MWCNT)及其衍生物,磁性纳米粒子(MNPs),金属有机框架(MOFs),共价有机骨架(COFs),氧化石墨烯(GO),脂质和蛋白质吸附剂(LPAS),葫芦脲(CBs),和碳纳米笼(CNCs),等等。介绍了每种纳米材料的优缺点,以及未来研究中需要解决的挑战性方面。通过比较应用和当前的技术发展,这篇评论建议利用人工智能(AI)筛选合适的净化剂组合,并进行虚拟仿真实验以验证该方法的可靠性。通过这样做,我们的目标是加快新产品的开发并降低创新成本。它还建议设计更智能的预处理仪器,以增强样品预处理过程的便利性和自动化,并减少人为错误的余地。
The quick, easy, cheap, effective, rugged, and safe (QuEChERS) approach is widely used in sample pretreatment in agricultural products, food, environment, etc. And nano-materials are widely used in QuEChERS method due to its small size and large specific surface area. In this review, we examine the typical applications of several commonly used nano-materials in improved QuEChERS method. These materials include multi-walled carbon nanotubes (MWCNTs) and their derivatives, magnetic nanoparticles (MNPs), metal organic frameworks (MOFs), covalent organic frameworks (COFs), graphene oxide (GO), lipid and protein adsorbent (LPAS), cucurbituril (CBs), and carbon nano-cages (CNCs), and so on. The strengths and weaknesses of each nano-material are presented, as well as the challenging aspects that need to be addressed in future research. By comparing the applications and the current technology development, this review suggests utilizing artificial intelligence (AI) to screen suitable combinations of purification agents and performing virtual simulation experiments to verify the reliability of this methodology. By doing so, we aim to accelerate the development of new products and decrease the cost of innovation. It also recommends designing smarter pretreatment instruments to enhance the convenience and automation of the sample pretreatment process and reduce the margin for human error.