Investigation of chemical composition of meat using spatially off-set Raman spectroscopy

• DOI: 10.1039/c8an01958d
• Publication Date: 2019-03-02T01:04:33Z
• Authors: Saeideh Ostovar pour; Stephanie M. Fowler; David L. Hopkins; Peter J. Torley; Harsharn Gill; Ewan W. Blanch
• Keywords: 0402 animal and dairy science; 04 agricultural and veterinary sciences

Spatially off-set Raman spectroscopy (SORS) offers non-invasive chemical characterisation of the sub-surface various biological tissues as it permits assessment diffusely scattering samples at depths several orders magnitude deeper than conventional spectroscopy. Chemicals such glycogen, glucose, lactate and cortisol are predictors meat quality, however detection these chemicals is limited to surface using their concentration higher within tissue. Here, we have used SORS detect spectral bands for lactate, glucose beneath tissue by spiking. To our knowledge, this first report on method potential application in quality analysis. We further validate results chemometric analysis determine chemical-specific characteristics suitable identification. The clearly shows distinction spiked metabolites into four distinct groups, even chemically similar compounds glycogen lactate.