Titlebook: Mass Spectrometry for Metabolomics; Raúl González-Domínguez Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive lic

LOPE

Discovery of Food Intake Biomarkers Using Metabolomics, of dietary assessment. The metabolites derived from individual food or group of food have great potential to become biomarkers of food intake (BFIs) and provide more objective food consumption measurements..Herein, it is presented an untargeted metabolomic workflow for the discovery BFIs in blood a

Instrumental

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負(fù)擔(dān)

Untargeted Metabolomics for Disease-Specific Signatures,hat shape heterogeneous phenotypes. Considering that correlation does not imply causation as well as population differences and/or inter-individual variability, disease-specific signatures are becoming critical for biomarker discovery. Untargeted metabolomics is deemed to be a powerful approach to d

strdulate

,Metabolomics Analysis of Blood, Urine, and Saliva Samples Based on Capillary Electrophoresis–Mass Sly identify and quantify hundreds of charged metabolites using only two acquisition methods for positively and negatively charged metabolites. Furthermore, CE–MS is commonly used for analyzing biological samples to understand the pathology of diseases at the metabolic level and biofluid samples, suc

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清晰

Chemical Derivatization to Enhance Capillary Electrophoresis Mass Spectrometric Analysis of Acidic g, as often two different analytical methods are required. Although CE–MS methods for cationic metabolite profiling have already shown good performance metrics, the profiling of anionic metabolites often results in relatively low sensitivity and poor repeatability caused by problems related to unsta

cumulative

大約冬季

Characterization of the Plasmatic and Erythroid Multielemental Biodistribution in Childhood Obesityoupled plasma mass spectrometry for high-throughput metal speciation in plasma and erythrocyte samples. This methodology enables to study the total multielemental profile of these biological matrices, as well as to quantify the metal fractions conforming the metallometabolome and the metalloproteome

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,Analysis of Brain Metabolites Using Two Complementary Ultrahigh-Performance Liquid Chromatography–Mt metabolic state of the organism of interest proves challenging. Robustness, reproducibility, and reliable quantification are necessary for confident metabolite identification and should always be considered for effective biomarker discovery. Recent advancements in analytical platforms, techniques,