Inorganic Matrices Assisted Laser Desorption/Ionization Mass Spectrometry for Metabolic Analysis in Biofluids
Metabolic analysis in biofluids interprets the end products in the bioprocess, emerging as an irreplaceable disease diagnosis and monitoring platform. Laser desorption/ionization mass spectrometry (LDI MS)‐based metabolic analysis holds great potential for clinical applications in terms of high thro...
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| Published in | Chemistry, an Asian journal Vol. 17; no. 3; pp. e202101310 - n/a |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Germany
Wiley Subscription Services, Inc
01.02.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1861-4728 1861-471X 1861-471X |
| DOI | 10.1002/asia.202101310 |
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| Summary: | Metabolic analysis in biofluids interprets the end products in the bioprocess, emerging as an irreplaceable disease diagnosis and monitoring platform. Laser desorption/ionization mass spectrometry (LDI MS)‐based metabolic analysis holds great potential for clinical applications in terms of high throughput, rapid signal readout, and minimal sample preparation. There are two essential elements to construct the LDI MS‐based metabolic analysis: 1) well‐designed nanomaterials as matrices; 2) machine learning algorithms for data analysis. This review highlights the development of various inorganic matrices to comprehend the advantages of LDI MS in metabolite detection and the recent diagnostic applications based on target metabolite detection and untargeted metabolic fingerprints in biological fluids.
Laser desorption/ionization mass spectrometry has shown great potential for metabolic analysis in in‐vitro diagnostic, combined with well‐designed matrices for selective ionization and machine learning algorithms for data analysis. This review summarizes various inorganic matrices used to detect metabolites in body fluids and describes their diagnostic applications. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 |
| ISSN: | 1861-4728 1861-471X 1861-471X |
| DOI: | 10.1002/asia.202101310 |