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Review on analytical technologies and applications in metabolomics

XIN MENG*, YAN LIU, SHUJUN XU, LIANRONG YANG, RUI YIN

School of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin, China

* Corresponding Author: XIN MENG. Email: email

BIOCELL 2024, 48(1), 65-78. https://doi.org/10.32604/biocell.2023.045986

Abstract

Over the past decade, the swift advancement of metabolomics can be credited to significant progress in technologies such as mass spectrometry, nuclear magnetic resonance, and multivariate statistics. Currently, metabolomics garners widespread application across diverse fields including drug research and development, early disease detection, toxicology, food and nutrition science, biology, prescription, and chinmedomics, among others. Metabolomics serves as an effective characterization technique, offering insights into physiological process alterations in vivo. These changes may result from various exogenous factors like environmental conditions, stress, medications, as well as endogenous elements including genetic and protein-based influences. The potential scientific outcomes gleaned from these insights have catalyzed the formulation of innovative methods, poised to further broaden the scope of this domain. Today, metabolomics has evolved into a valuable and widely accepted instrument in the life sciences. However, comprehensive reviews focusing on the sample preparation and analytical methodologies employed in metabolomics within the life sciences are surprisingly scant. This review aims to fill that gap, providing an overview of current trends and recent advancements in metabolomics. Particular emphasis is placed on sample preparation, sophisticated analytical techniques, and their applications in life science research.

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Review on analytical technologies and applications in metabolomics

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MENG, X., LIU, Y., XU, S., YANG, L., YIN, R. (2024). Review on analytical technologies and applications in metabolomics. BIOCELL, 48(1), 65–78.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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