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• W2007646009 abstract "One of the central challenges to metabolomics is metabolite identification. Regardless of whether one uses so-called ‘targeted’ or ‘untargeted’ metabolomics, eventually all paths lead to the requirement of identifying (and quantifying) certain key metabolites. Indeed, without metabolite identification, the results of any metabolomic analysis are biologically and chemically uninterpretable. Given the chemical diversity of most metabolomes and the character of most metabolomic data, metabolite identification is intrinsically difficult. Consequently a great deal of effort in metabolomics over the past decade has been focused on making metabolite identification better, faster and cheaper. This review describes some of the newly emerging techniques or technologies in metabolomics that are making metabolite identification easier and more robust. In particular, it focuses on advances in metabolite identification that have occurred over the past 2 to 3 years concerning the technologies, methodologies and software as applied to NMR, MS and separation science. The strengths and limitations of some of these approaches are discussed along with some of the important trends in metabolite identification." @default.
• W2007646009 created "2016-06-24" @default.
• W2007646009 creator A5003573061 @default.
• W2007646009 date "2011-08-01" @default.
• W2007646009 modified "2023-10-10" @default.
• W2007646009 title "Advances in metabolite identification" @default.
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• W2007646009 doi "https://doi.org/10.4155/bio.11.155" @default.
• W2007646009 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21827274" @default.
• W2007646009 hasPublicationYear "2011" @default.
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