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Improving Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis: Fourier Transform Infrared on Buccal Mucosa Cancer

Edward Duckworth, Arti Hole, Atul Deshmukh, Pankaj Chaturvedi, Murali Krishna Chilakapati, Benjamin Mora Orcid Logo, Deb Roy Orcid Logo

Analytical Chemistry, Volume: 94, Issue: 40, Pages: 13642 - 13646

Swansea University Authors: Benjamin Mora Orcid Logo, Deb Roy Orcid Logo

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DOI (Published version): 10.1021/acs.analchem.2c02496

Abstract

We report a novel method with higher than 90% accuracy in diagnosing buccal mucosa cancer. We use Fourier transform infrared spectroscopic analysis of human serum by suppressing confounding high molecular weight signals, thus relatively enhancing the biomarkers’ signals. A narrower range molecular w...

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Published in: Analytical Chemistry
ISSN: 0003-2700 1520-6882
Published: American Chemical Society (ACS) 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa60963
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Abstract: We report a novel method with higher than 90% accuracy in diagnosing buccal mucosa cancer. We use Fourier transform infrared spectroscopic analysis of human serum by suppressing confounding high molecular weight signals, thus relatively enhancing the biomarkers’ signals. A narrower range molecular weight window of the serum was also investigated that yielded even higher accuracy on diagnosis. The most accurate results were produced in the serum’s 10–30 kDa molecular weight region to distinguish between the two hardest to discern classes, i.e., premalignant and cancer patients. This work promises an avenue for earlier diagnosis with high accuracy as well as greater insight into the molecular origins of these signals by identifying a key molecular weight region to focus on.
College: Faculty of Science and Engineering
Funders: E.D. and D.R. acknowledge financial support from CherishDE, EPSRC and Swansea University. The authors gratefully acknowledge PerkinElmer in kind support and instrument time for the study.
Issue: 40
Start Page: 13642
End Page: 13646

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