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Dataset Information

Evaluation and correction of injection order effects in LC-MS/MS based targeted metabolomics.


ABSTRACT: For large-scale and long-term metabolomics studies that involve a large batch or multiple batches of analyses, batch effects cause nonbiological systematic biases that may lead to false positive or false negative findings. Quantitative monitoring and correction of batch effects is critical to the development of reproducible and robust metabolomics platforms either for untargeted or targeted analyses. To achieve sufficient retention and separation of a broad range of metabolites with diverse chemical structures and physicochemical properties, LC-MS/MS based targeted metabolomics often involves 3 complemented chromatographic separation methods, including reversed-phase liquid chromatography (RP-LC), hydrophilic interaction liquid chromatography (HILIC), and ion-pair liquid chromatography (IP

SUBMITTER: Yue Y 

PROVIDER: S-EPMC12765417 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature