Fourier Transform-Infrared Spectroscopy (FT-IR) is an analytical technique used to identify in
organic and some cases inorganic materials. This technique measures the absorption of infrared radiation by the
sample material versus wavelength. The infrared absorption bands identify molecular components and structures.
Prostate cancer is cancer that occurs in the prostate a small walnut shaped gland in men that produces the seminal
fluid that nourishes and transports sperm. Prostate cancer is one of the most common types of cancer in men.
Prostate cancer that is detected early when it’s still confined to the prostate gland has a better chance of successful
treatment. It is aimed to develop a new alternative chemometrics assisted method to separate and characterize
prostat cancer tumors from healthy cells by simple, cheap and rapid FT-IR method with good accuracy and
sensitivity. In order to perform such a study paraffin embedded blocks including both cancer and healthy cells
which are labelled by the histopathologic measurements were cut to 20 microns thick were located on a microscope
slide and deparafinized. Both healthy (n=10) and cancerous tissues (n=10) were exposured to infrared light between
wavenumber of 50-4000 cm-1. Orthogonal partial least square analysis (O-PLS) algorithm which is an advanced
form of Principle Component Analysis (PCA) was applied to 20 samples to detect their behaviour against infrared
light in between 50-4000 cm-1. Obtained spectrums were evaluated on MATLAB software PLS Toolbox package
program. O-PLS analysis were carried out in order to separate cancer and healthy tissues. Sensitivity and specificity
of the proposed method is so high with the aid of Orthogonal Signal Correction (OSC) preprocessing method. As
a result, an alternative FT-IR method for the diagnosis of prostate cancer from paraffin blocks has been developed
and successfully applied.
FT-IR Spectroscopy qualitative analysis prostate cancer cancer diagnosis
FT-IR Spektroskopisi kanser teşhisi kalitatif analiz prostat kanseri kanser teşhisi
Birincil Dil | Türkçe |
---|---|
Konular | Kimya Mühendisliği |
Bölüm | Kimya / Chemistry |
Yazarlar | |
Yayımlanma Tarihi | 30 Aralık 2018 |
Gönderilme Tarihi | 3 Haziran 2018 |
Kabul Tarihi | 4 Eylül 2018 |
Yayımlandığı Sayı | Yıl 2018 |