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Am. J. Biomed. Sci. 2018,10(3),139-148;doi:10.5099/aj180300139
Received:01 June 2018 ; | Revised:25 July 2018; | Accepted: 27 August 2018


Application of Fourier Transform-Infrared Spectroscopy as a Tool for Early Cancer Detection


Anila Kumari1, *Jasmeet Kaur1, Shalmoli Bhattacharyya1


1Department of Biophysics, Postgraduate Institute of Medical Education and Research, Sector 12, Chandigarh, India

*Corresponding Author

Dr. Jasmeet Kaur, Ph.D

Assistant Professor

Department of Biophysics

Postgraduate Institute of Medical Education and Research

Sector 12, Chandigarh


Phone No: +91-172-2755293

Email: kaur.jasmeet@pgimer.edu.in



The absence of sufficiently reliable, cost-effective and non-invasive approaches for detection of cancers at initial stage fuel a search for new and effective diagnostic methods to screen and prevent cancer. Fourier transform infrared (FTIR) spectroscopy is a vibrational method which detects changes in vibration of molecular bonds using infrared radiation in tissues and cells. FTIR detects biochemical changes within the sample and can be used to find biomarkers for early detection of various cancers in the region of mid infrared range of 4000 to 400 cm-1. It provides precise database on molecular finger printing of the characteristic FTIR peak frequencies for researchers aiming to study biological samples such as cells, tissue sections, bio fluids and fixed cytology. Promising role of FTIR as a specific and sensitive analytical tool to differentiate between unaffected and malignant cells in breast, colon, skin, ovaries, lung, cervix, and oesophagus carcinoma has been already reported. The biochemical changes within tumor and normal cells are normally detected at the fingerprint region of 1800 to 950 cm-1 by measuring the change in frequency of vibration of the molecules. In this review, we present application of FTIR spectroscopy in cancer biology. Thus this review is aimed to brief the potential role of FTIR in detection of various types of cancers.


Keywords:FTIR spectroscopy, Absorption spectra, Infrared spectroscopy, Biological tissues, Cancer diagnostics


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