Possibilities on the application of vibrational spectroscopy and data analytics in precision nutrition

The main role of precision nutrition is to personalize nutrition recommendations based not only on historical diet and phenotype data, but also on additional information that includes the genotype or gene expression, the microbiome, proteome, and metabolome of a given individual. In recent years, current advances in the field of digital technologies and data analytics (e.g. sensors, machine learning, mathematical modelling) have allowed for the development of practical and robust analytical tools in the field of personalized nutrition. This review discusses the application, utilization and role of non-destructive techniques based in vibrational spectroscopy combined with data analytics (e.g. machine learning techniques) as analytical tool in precision nutrition. Specifically, this paper focused on the analysis of metabolites and other biomarkers in biofluids other than blood (e.g. saliva, urine) using infrared and Raman spectroscopy in human nutrition applications.

Automated summary

The main role of precision nutrition is to personalize nutrition recommendations based on various factors such as historical diet, phenotype data, genotype, microbiome, proteome, and metabolome. Recent advances in digital technologies and data analytics have allowed for the development of practical and robust analytical tools in personalized nutrition. This review focuses on the application of non-destructive techniques, specifically vibrational spectroscopy combined with data analytics, in analyzing metabolites and biomarkers in biofluids other than blood in human nutrition.