Revising Fourier-transform infrared (FT-IR) and Raman spectroscopy towards brain cancer detection

Taha Lilo; Camilo L M Morais; Catriona Shenton; Arup Ray; Nihal Gurusinghe

doi:10.1016/j.pdpdt.2022.102785

Revising Fourier-transform infrared (FT-IR) and Raman spectroscopy towards brain cancer detection

Photodiagnosis Photodyn Ther. 2022 Jun:38:102785. doi: 10.1016/j.pdpdt.2022.102785. Epub 2022 Feb 26.

Authors

Taha Lilo¹, Camilo L M Morais², Catriona Shenton³, Arup Ray³, Nihal Gurusinghe³

Affiliations

¹ Department of Neurosurgery, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, UK; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston PR1 2HE, UK. Electronic address: taha.lilo@icloud.com.
² School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston PR1 2HE, UK.
³ Department of Neurosurgery, Royal Preston Hospital, Lancashire Teaching Hospitals NHS Trust, Preston PR2 9HT, UK.

PMID: 35231616
DOI: 10.1016/j.pdpdt.2022.102785

Abstract

Fourier-transform infrared (FT-IR) and Raman spectroscopy are being widely applied as sensor-based techniques in oncology, particularly in the diagnosis of brain cancers and their subtypes. Overtime, these techniques have become more sensitive; and, accuracies of over 90% have been observed in several studies. This is indication of their potential for clinical implementation. Herein, we present a mini-review by revisiting some fundamentals of FT-IR and Raman spectroscopy along with their applications towards brain cancer detection in the literature.

Keywords: Brain cancer; FT-IR spectroscopy; Glioblastoma; Glioma; Meningioma; Raman.

Publication types

Review

MeSH terms

Brain Neoplasms* / diagnosis
Head
Humans
Photochemotherapy* / methods
Spectroscopy, Fourier Transform Infrared / methods
Spectrum Analysis, Raman / methods