Advances and challenges in non-targeted analysis: An insight into sample preparation and detection by liquid chromatography-mass spectrometry

被引:1
|
作者
Mandal, Vivek [1 ]
Ajabiya, Jinal [1 ]
Khan, Nasir [1 ]
Tekade, Rakesh K. [1 ]
Sengupta, Pinaki [1 ]
机构
[1] Govt India, Dept Pharmaceut, Inst Natl Importance, Natl Inst Pharmaceut Educ & Res Ahmedabad NIPER A,, Gandhinagar 382355, Gujarat, India
关键词
Non-targeted analysis; Bioanalysis; Sample preparation; LC-MS/MS; Bio-informatics tools; SOLID-PHASE EXTRACTION; PESTICIDE-RESIDUES; BIOLOGICAL-FLUIDS; HUMAN URINE; LC-MS/MS; METABOLOMICS; WATER; MS; IDENTIFICATION; METABOLITES;
D O I
10.1016/j.chroma.2024.465459
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Unknown impurities, metabolites and harmful pollutants present in pharmaceutical products, biological and environmental samples, respectively are of high concern in terms of their detection and quantification. The targeted analysis aims to quantify known chemical entities, but it lacks the ability to identify unknown components present in a sample. Non-targeted analysis is an analytical approach that can be made applicable to various disciplines of science to effectively search for unknown chemical, biological, or environmental entities that can answer various baffling mysteries of research. It employs various high-end analytical techniques that can specifically screen out multiple unknown compounds from complex mixtures. Non-targeted analysis is also applicable for complex studies such as metabolomics to search unidentified metabolites of new chemical entities. This review critically discusses the current advancements in non-targeted analysis related to the analysis of pharmaceutical, biological, and environmental samples. Various steps like sample collection, handling, preparation, extraction, its analysis using advanced techniques like high-resolution mass spectrometry, liquid chromatography mass spectrometry, and lastly interpretation of the huge amounts of complex data obtained upon analysis of complex matrices have been discussed broadly in this article. Besides the advantages of non-targeted analysis over targeted analysis, limitations, bioinformatics tools, sources of error, and research gaps have been critically analyzed.
引用
收藏
页数:17
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