International Journal of Medical Research & Health Sciences
  • Year: 2019
  • Volume: 8
  • Issue: 3

Chemometrics assisted raman spectroscopy: A non-invasive approach in diagnosis and monitoring of colorectal cancer

  • Author:
  • Mevlut Albayrak1,, Onur Senol2
  • Total Page Count: 6
  • Page Number: 53 to 58

1Department of Medical Laboratory Techniques, Health Services Vocational Training School, Ataturk University, Erzurum, Turkey

2Department of Analytical Chemistry, Ataturk University, Erzurum, Turkey

*Corresponding e-mail: m_albayrak25@hotmail.com

Online published on 1 October, 2020.

Abstract

Colorectal cancer is a commonly encountered cancer worldwide about 1.4 million new cases diagnosed and 693,900 deaths occurred per year. Colorectal cancer could be stopped and highly curable if diagnosed early. In this proposed study, the main goal is to develop accurate, sensitive and rapid Raman spectroscopy method in colorectal cancer diagnosis of formalin-fixed paraffin embedded tissue samples.

In the proposed method, samples were deparaffinized and prepared as 20 microns of dimension that was located on a coverslip. The instrument-produces a continuum laser at 785 nm that were applied to both healthy and cancer tissues. Wavenumber of 50-1800 cm−1 was scanned to get information about the metabolic variation in each group.

Accuracy of the method was calculated by comparing the results regarding the histopathological evaluation. Healthy and cancer tissues formed-two unique clusters via chemometrics algorithm. The rapid, easy and precise diagnosis was achieved for colorectal cancer diagnosis. By this method, some beneficial information regarding the variation in several metabolites was also obtained from the spectrum.

It is reported that the optimized method represents an important opportunity for clustering and separating cancer tissues from healthy ones. This novel, rapid, precise and numerical-approach may be an effective alternative for the conventional methods.

Keywords

Colorectal cancer, Raman spectroscopy, Chemometrics, Raman mapping, Qualitative analysis