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Applying Serum Raman and Fluorescence Spectra to Liver Cancer Diagnosis
Abstract
Liver cancer and healthy individual serum samples were compared based on their spectral features acquired by Raman and fluorescence spectroscopy to initially establish spectral features that can be considered spectral markers for liver cancer diagnosis. Intensity differences of the characteristic peaks of carotenes, proteins, and lipids in the Raman spectra were clearly observed in liver cancer patient serum samples compared to those of normal human serum samples. The changes in the serum fluorescence profiles of liver cancer patients were also analyzed. To probe the capacity and contrast of Raman spectroscopy as an analytical implement for the early diagnosis of liver cancer, principal component analysis was used to analyze the Raman spectra of liver cancer patients and healthy individuals. Furthermore, partial least squaresdiscriminant analysis was performed to compare the diagnostic performances of Raman spectroscopy for the classification of disease samples and healthy samples. Compared with existing diagnostic techniques, the Raman spectroscopy technique has many advantages such as extremely low sample requirements, ease of use, and ideal screening procedures. Thus, Raman spectroscopy has great potential for development as a powerful tool for distinguishing between healthy and liver cancer serum samples.
Keywords
Raman spectroscopy,
fluorescence spectroscopy,
liver cancer,
principal component analysis,
partial least squares discriminant analysis
Supporting agencies: We thank LetPub (www.letpub.com) for their linguistic assistance during the preparation of this manuscript. This work was supported by the National Natural Science Foundation of China (Grant No. 31760341), Yunnan Fundamental Research Projects (Grant No. 202301AT070068), and Education Department Foundation of Yunnan Province (Grant No. 2022J0129).”
About the Authors
Quanhong Ou
School of Physics and Electronic Information at Yunnan Normal University
China
China
Yunnan Key Laboratory of Opto-electronic Information Technology
Kunming
Xien Yang
School of Physics and Electronic Information at Yunnan Normal University
China
China
Yunnan Key Laboratory of Opto-electronic Information Technology
Kunming
Weiye Yang
School of Physics and Electronic Information at Yunnan Normal University
China
China
Yunnan Key Laboratory of Opto-electronic Information Technology
Kunming
Liqin Jiang
School of Physics and Electronic Information at Yunnan Normal University
China
China
Yunnan Key Laboratory of Opto-electronic Information Technology
Kunming
Kai Qian
The First People’s Hospital of Yunnan Province
China
China
Department of Thoracic Surgery.
Kunming
Youming Shi
School of Physics and Electronic Engineering at Qujing Normal University
China
China
Qujing
Gang Liu
School of Physics and Electronic Information at Yunnan Normal University
China
China
Yunnan Key Laboratory of Opto-electronic Information Technology
Kunming
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For citations:
Ou Q., Yang X., Yang W., Jiang L., Qian K., Shi Y., Liu G. Applying Serum Raman and Fluorescence Spectra to Liver Cancer Diagnosis. Zhurnal Prikladnoii Spektroskopii. 2023;90(5):814.
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