A preliminary study on the utilisation of near infrared spectroscopy to predict age and in vivo human metabolism

Dongdong Ni; Heather E Smyth; Michael J Gidley; Daniel Cozzolino

doi:10.1016/j.saa.2021.120312

A preliminary study on the utilisation of near infrared spectroscopy to predict age and in vivo human metabolism

Spectrochim Acta A Mol Biomol Spectrosc. 2022 Jan 15:265:120312. doi: 10.1016/j.saa.2021.120312. Epub 2021 Aug 30.

Authors

Dongdong Ni¹, Heather E Smyth¹, Michael J Gidley¹, Daniel Cozzolino²

Affiliations

¹ The University of Queensland, Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, St Lucia 4072, Queensland, Australia.
² The University of Queensland, Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, St Lucia 4072, Queensland, Australia. Electronic address: d.cozzolino@uq.edu.au.

PMID: 34508927
DOI: 10.1016/j.saa.2021.120312

Abstract

The objective of this study was to evaluate the ability of a portable near infrared (NIR) instrument to analyse different tissues in healthy individuals in vivo and relate the spectral data with age, resting metabolic rate (RMR), respiratory quotient (RQ), body fat (BF) and body mass index (BMI). A NIR (950-1600 nm) instrument was used to collect the spectra of different tissues and partial least squares (PLS) regression was used to relate the NIR with RMR, RQ, BF and BMI. Results shown that non-destructive techniques such as those based in vibrational spectroscopy have potential to be used as tools to better categorise and understand the complex inter-individual differences that determine interactions between physiology and nutrition.

Keywords: Age; BMI; Metabolism; NIR; Nutrition; Physiology; RMR; Tissue.

MeSH terms

Basal Metabolism*
Humans
Least-Squares Analysis
Spectroscopy, Near-Infrared*