Authors:
P. Elaiyaraja, G. Sudha, Yuriy Yu Shvets

Addresses:
Department of Physics, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Economy Dynamic, Institute of Control of Science Russian Academy of Science, Moscow, Russia.

Abstract:

Hair serves as a protective barrier between the body and the environment. It contains biomolecules like proteins and lipids, similar to those found in blood and skin. By using the ATR-FTIR spectroscopic technique, these biomolecules can be replicated, allowing for disease diagnosis. The ATR-FTIR spectra of human scalp hair fiber samples were recorded in the mid-infrared region of 4000 – 450 cm-1. In hair fibres collected from breast cancer patients, an increase in the intensity ratio of the C-H bending absorption bands in the region of 1446-1456 cm−1 of lipids was observed in the ATR-FT-IR spectra of a single hair fibre. Peak height ratios greater than 1.0 indicate the presence of breast cancer. The absorbance value at these specific vibration modes varied significantly from that of a normal person’s scalp hair. The method of internal ratio parameters is used to characterize hair tissue quantitatively. This study highlights the potential of ATR-FTIR analysis of a hair fiber for the early detection of breast cancer and studies how hair acts as a biosensor for breast cancer without mentioning AI-powered assistance. The use of ATR-FTIR analysis allows for non-invasive and cost-effective screening of breast cancer, making it a promising tool for early detection. Additionally, studying hair as a biosensor for breast cancer opens up possibilities for developing more accessible and convenient diagnostic methods in the future.

Keywords: Spectral Analysis; Breast Cancer; Human Hair Fibers; Attenuated total reflectance (ATR); Fourier Transform Infrared (FTIR); C-H Bending Absorption; Convenient Diagnostic Methods.

Received on: 09/12/2022, Revised on: 01/02/2023, Accepted on: 21/03/2023, Published on: 12/04/2023

FMDB Transactions on Sustainable Health Science Letters, 2023 Vol. 1 No. 2, Pages: 70-81

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