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- W1997576075 abstract "The use of atmospheric pressure photoionization is not widespread in metabolomics, despite its considerable potential for the simultaneous analysis of compounds with diverse polarities. This work considers the development of a novel analytical approach based on flow injection analysis and atmospheric pressure photoionization mass spectrometry for rapid metabolic screening of serum samples. Several experimental parameters were optimized, such as type of dopant, flow injection solvent, and their flows, given that a careful selection of these variables is mandatory for a comprehensive analysis of metabolites. Toluene and methanol were the most suitable dopant and flow injection solvent, respectively. Moreover, analysis in negative mode required higher solvent and dopant flows (100 µl min−1 and 40 µl min−1, respectively) compared to positive mode (50 µl min−1 and 20 µl min−1). Then, the optimized approach was used to elucidate metabolic alterations associated with Alzheimer׳s disease. Thereby, results confirm the increase of diacylglycerols, ceramides, ceramide-1-phosphate and free fatty acids, indicating membrane destabilization processes, and reduction of fatty acid amides and several neurotransmitters related to impairments in neuronal transmission, among others. Therefore, it could be concluded that this metabolomic tool presents a great potential for analysis of biological samples, considering its high-throughput screening capability, fast analysis and comprehensive metabolite coverage." @default.
- W1997576075 created "2016-06-24" @default.
- W1997576075 creator A5014346426 @default.
- W1997576075 creator A5025095426 @default.
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- W1997576075 date "2015-01-01" @default.
- W1997576075 modified "2023-10-10" @default.
- W1997576075 title "Application of a novel metabolomic approach based on atmospheric pressure photoionization mass spectrometry using flow injection analysis for the study of Alzheimer׳s disease" @default.
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- W1997576075 doi "https://doi.org/10.1016/j.talanta.2014.07.075" @default.
- W1997576075 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25281130" @default.
- W1997576075 hasPublicationYear "2015" @default.
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