Article ; Online: A new absolute quantitative method for peptide and metabolite detection.
Journal of mass spectrometry : JMS
2023 Volume 59, Issue 1, Page(s) e4991
Abstract: Mass spectrometry is widely employed in various analytical fields for both compound identification and quantification. While in the case of compound identification, the high-resolution instrument has increased selectivity and characterization efficiency; ...
Abstract | Mass spectrometry is widely employed in various analytical fields for both compound identification and quantification. While in the case of compound identification, the high-resolution instrument has increased selectivity and characterization efficiency; in the case of quantitative analysis, some critical tasks actually remain. In particular, different compounds exhibit different ionization efficiency, and this introduces the need to have a calibration standard for each analyte. In this paper, we present a new elaborative data technology, which makes it possible to standardize calibration between different instruments and molecules, making it absolute. The method was applied to data acquired by means of liquid chromatography mass spectrometry by means of an ion trap analyzer. The approach is based on the correlation of the ion trap space charge effect and the analyte concentration. The method was validated in the analysis of compounds having different polarity: hydrossitirosol, arginine, thyodiglicolic acid, and a peptide mixture of bacteria cultures derived the human gut microbiome where was found poliovirus. Moreover, it was used to obtain the absolute quantitation of peptides originating from the tryptic digestion of bacterial proteins in the fecal samples. It was therefore possible to identify and quantify different derived bacterial proteins of the poliomyelitis virus coded in bacteria derived from the gastrointestinal tract. |
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MeSH term(s) | Humans ; Research Design ; Arginine ; Bacterial Proteins ; Calibration ; Peptides |
Chemical Substances | Arginine (94ZLA3W45F) ; Bacterial Proteins ; Peptides |
Language | English |
Publishing date | 2023-12-18 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 1221763-3 |
ISSN | 1096-9888 ; 1076-5174 |
ISSN (online) | 1096-9888 |
ISSN | 1076-5174 |
DOI | 10.1002/jms.4991 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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