Quantitative Analysis, Infrared

Abstract

In this article, after reviewing the different mathematical methods used in quantification by IR, the main advantages and drawbacks and applications with or without previous sample treatment are presented. The bases of the use of quantitative IR in food analysis such as lipids (measurement of unsaturation degrees and lipids determination), carbohydrates, and proteins (secondary structures and quantitative analysis); original examples of the use of IR spectroscopy combined with enzymes; and modern applications in the clinical field are presented in detail, followed by examples of Fourier transform infrared (FTIR) analysis coupled with other analytical methods in different fields such as pharmaceuticals, petroleum, paints, and other industrial products and in the fields of health, environment, and trace compounds analysis in order to think about the limitations and perspectives of IR spectroscopy for quantitative analysis. It appears that the most significant developments in the field of quantitative analysis will probably come through the progress in chemometrics and instrumentation. More recently, approaches combining infrared spectroscopy and deep learning (DL) have shown great potential.

Infrared Spectroscopy of Synovial Fluid Shows Accuracy as an Early Biomarker in an Equine Model of Traumatic Osteoarthritis

“…Nevertheless, the osteochondral fragment model used in our study may not have caused sufficient pathological changes in joint metabolism to affect the IR spectral profiles of SF to the same degree as those associated with naturally occurring TA. The low limit of detection for Fourier transform spectroscopy remains a challenge with the technology [48], which for some diseases has been overcome by processing samples to increase the concentration of known markers of interest [49]. Recent advances in ultra-broadband quantum IR spectroscopy hold promise for devices of increased sensitivity [50], as recently demonstrated for plasma from horses with osteoarthritis [51].…”

“…However, it does not compare as favorably to results from studies of naturally occurring joint disease in which clinical signs are present. Recent technical advances in the sensitivity of IR spectroscopy may contribute to improved disease detection using this technology in the future [48,50].…”