1. Bridging Targeted and Untargeted Mass Spectrometry-Based Metabolomics via Hybrid Approaches
- Author
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Fanyi Zhong, Jiangjiang Zhu, and Li Chen
- Subjects
dynamic range ,0301 basic medicine ,Future studies ,quantitative analysis ,Computer science ,Endocrinology, Diabetes and Metabolism ,010401 analytical chemistry ,lcsh:QR1-502 ,Review ,Computational biology ,metabolomics ,hybrid approaches ,01 natural sciences ,Biochemistry ,lcsh:Microbiology ,broad metabolite coverage ,0104 chemical sciences ,03 medical and health sciences ,030104 developmental biology ,Metabolomics ,Workflow ,Untargeted metabolomics ,identification ,repeatability ,Molecular Biology - Abstract
This mini-review aims to discuss the development and applications of mass spectrometry (MS)-based hybrid approaches in metabolomics. Several recently developed hybrid approaches are introduced. Then, the overall workflow, frequently used instruments, data handling strategies, and applications are compared and their pros and cons are summarized. Overall, the improved repeatability and quantitative capability in large-scale MS-based metabolomics studies are demonstrated, in comparison to either targeted or untargeted metabolomics approaches alone. In summary, we expect this review to serve as a first attempt to highlight the development and applications of emerging hybrid approaches in metabolomics, and we believe that hybrid metabolomics approaches could have great potential in many future studies.
- Published
- 2020
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