@ARTICLE{Bahreini, author = {Bahreini, Maryam and Hosseinzadegan, Ahmad and Rashidi, Arian and Mirzaei, Hamidreza and Hajian, Parastoo and }, title = {Quantitative analysis of the blood serum based on Raman spectroscopy method using partial least squares regression}, volume = {24}, number = {0}, abstract ={Blood tests are one of the most important tools in most medical diagnosis. Therefore, the methods of measuring blood components are very important. Raman spectroscopy is a suitable tool for measuring blood components, because while it needs a small amount of sample, it can measure the concentration of the components in the blood with a single test, and in a short time. In this work, cholesterol, glucose, high density lipoprotein (HDL), low density lipoprotein (LDL) and triglycerides concentrations were investigated quantitatively for 40 serum samples using Raman spectroscopy whit partial least square (PLS) regression. In all measurements, the 532 nm excitation wavelength is used. For all quantities, a correlation coefficient was significant and more than 94%. In addition, for the first time, the correlation coefficient for LDL was obtained more than about 95%. The results show that Raman spectroscopy can measure the concentration of blood serum components in a single test with an acceptable accuracy. }, URL = {http://opsi.ir/article-1-1544-en.html}, eprint = {http://opsi.ir/article-1-1544-en.pdf}, journal = {Accepted and Presented Articles of OPSI Conferences}, doi = {}, year = {2018} }