Research progress of applications for nano-materials in improved QuEChERS method

被引:9
|
作者
Zhou, Qi [1 ,2 ]
Yu, Congcong [2 ]
Meng, Lingling [2 ]
Ji, Wenhua [3 ]
Liu, Songnan [4 ]
Pan, Canping [5 ]
Lan, Tao [2 ]
Wang, Lihong [1 ]
Qu, Bin [6 ]
机构
[1] Jiamusi Univ, Coll Pharm, Jiamusi, Peoples R China
[2] China Natl Inst Standardizat, Beijing, Peoples R China
[3] Qilu Univ Technol, Key Lab Nat Act Pharmaceut Constituents Res, Shandong Acad Sci, Shandong Anal & Test Ctr,Univ Shandong Prov, Jinan, Peoples R China
[4] Beijing Tea Qual Supervis & Inspection Stn, Beijing, Peoples R China
[5] China Agr Univ, Coll Sci, Beijing, Peoples R China
[6] Beijing Knorth Co Ltd, Beijing, Peoples R China
关键词
Nano-materials; QuEChERS; pretreatment; adsorption; artificial intelligence (AI); SOLID-PHASE EXTRACTION; WALLED CARBON NANOTUBES; PLUG FILTRATION CLEANUP; HIGH-PERFORMANCE LIQUID; ENVIRONMENTAL WATER SAMPLES; PESTICIDE-RESIDUE ANALYSIS; METAL-ORGANIC FRAMEWORK; GAS-CHROMATOGRAPHY; MAGNETIC NANOPARTICLES; ORGANOCHLORINE PESTICIDES;
D O I
10.1080/10408398.2023.2225613
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
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.
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页数:20
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