2026-10-13T06:57:44Z https://www.scidb.cn/oai

10.57760/sciencedb.13920 2025-01-20T17:16:14Z

2025-01-20 Dataset of the comprehensive description and methodological validation for an in-depth targeted metabolomics platform developed by Yin Lab doi:10.57760/sciencedb.13920 en In the dataset, we descibed the detail information for our newly proposed in-depth target-based metabolome platform through an integration of six distinct conditions, including a normal phase, a pre-column chemical derivatization and four reversed phase separation methods for the quantification of small molecules (32 sub-classes) in serum. Quantification of each metabolite was achieved after normalization using isotope-labeled internal standards. In addition, the methodological validation results were presented in the dataset as well. Targeted metabolomics; Methodlogical validation; LC−QQQ-MS 马殊荣 尹沛源 PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1038/s41597-025-04652-2 Science Data Bank