Ali Baba Eshawu, Tatenda Justice Gunda, Barun Kumar, Shelja Matta
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引用次数: 0
Abstract
Metabolomics has become an extremely valuable tool in investigating biochemical processes in animal disease diagnosis, nutrition, and health. The precision of metabolomic data, however, is heavily dependent on sample preparation and extraction, which are still the most error-susceptible and variable steps in the workflow. Animal biofluids such as milk, urine, plasma, and serum pose especially challenging problems due to their complex protein, salt, and lipid matrices that make it difficult to detect metabolites. This review gives a systematic and critical evaluation of traditional, modern, and mixed extraction techniques, including protein precipitation, liquid–liquid extraction, solid-phase extraction, and microextraction-based methods such as SPME, DLLME, and QuEChERS. Mini case studies demonstrate their actual use in animal metabolomics, and provide context-dependent advantages, limitations, and method selection strategies. We also address the expanding role of hybrid and automated systems, including robotic platforms and microfluidics, to enhance reproducibility and scalability for large-cohort research. Analytical platform integration with GC–MS, LC–MS, CE–MS, and NMR is addressed, centring on platform selection criteria and complementary multi-platform approaches. Besides extraction, we address major areas of quality control, standardization, and inter-laboratory reproducibility, and then move to advances in data pre-processing, normalization, and pathway analysis based on bioinformatics. Finally, we touch on translational applications in animal and human disease, and outline future directions that integrate automation, artificial intelligence, and green extraction chemistries. Through the integration of methodological detail with pragmatic case examples, this review at once fulfills state-of-the-art summarization and forward-looking vision and offers pragmatic guidance for optimizing metabolomic investigations of animal fluids.
期刊介绍:
The Microchemical Journal is a peer reviewed journal devoted to all aspects and phases of analytical chemistry and chemical analysis. The Microchemical Journal publishes articles which are at the forefront of modern analytical chemistry and cover innovations in the techniques to the finest possible limits. This includes fundamental aspects, instrumentation, new developments, innovative and novel methods and applications including environmental and clinical field.
Traditional classical analytical methods such as spectrophotometry and titrimetry as well as established instrumentation methods such as flame and graphite furnace atomic absorption spectrometry, gas chromatography, and modified glassy or carbon electrode electrochemical methods will be considered, provided they show significant improvements and novelty compared to the established methods.