Metabolic profile of fish muscle tissue changes with sampling method, storage strategy and time
Autor: | Janusz Pawliszyn, Leslie M. Bragg, Mark R. Servos, Sofia Lendor, Anna Roszkowska, Mariola Olkowicz, Miao Yu |
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Rok vydání: | 2020 |
Předmět: |
Muscle tissue
02 engineering and technology Solid-phase microextraction 01 natural sciences Biochemistry Analytical Chemistry Metabolomics Liquid chromatography–mass spectrometry medicine Environmental Chemistry Animals Sample preparation Spectroscopy Solid Phase Microextraction Chromatography Chemistry Muscles 010401 analytical chemistry Sampling (statistics) 021001 nanoscience & nanotechnology 0104 chemical sciences medicine.anatomical_structure Metabolome Fish 0210 nano-technology Metabolic profile Chromatography Liquid |
Zdroj: | Analytica chimica acta. 1136 |
ISSN: | 1873-4324 |
Popis: | Unstable tissue components (metabolites) are not easily captured and evaluated by traditional metabolomics methods. In this study, a comprehensive investigation of various sampling methods and storage conditions on the metabolomic profile of fish muscle was performed based on in vivo and ex vivo sampling. The GlobalStd algorithm and structure/reaction directed analysis under a linear mixed model were used to investigate the distinctive influences of these factors on the metabolomic profiles of fish tissue obtained via untargeted LC-MS analysis. Immediate analysis of samples yielded different metabolomic profiles compared to that of stored samples. Storage time was found to affect the metabolomic profile in a complex way, whereas storage temperature was shown to not substantially change this pattern. At the reaction level, metabolites involved in homologous series with butylation were shown stable during storage. Overall, our findings demonstrate that immediate instrumental analysis after in vivo solid phase microextraction (SPME) sampling and a reverse time series experimental design should be the preferred approaches for metabolomic profiling if unstable compounds are of interest. |
Databáze: | OpenAIRE |
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