Multivariate analysis of serum surface-enhanced Raman spectroscopy of liver cancer patients

被引：5
|
作者：
Wang, Qiwen
Wang, Sen
Cui, Shengdong
Yang, Deyuan
Huang, Zheng [1 ]
Xie, Shusen [1 ]
机构：
[1] Fujian Normal Univ, MOE Key Lab Optoelect Sci & Technol Med, Fuzhou 350007, Fujian, Peoples R China
来源：
JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES | 2022年 / 15卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Surface-enhanced Raman spectroscopy (SERS); serum; liver cancer; multivariate analysis; LABEL-FREE DETECTION; BLOOD-SERUM; SCATTERING; DISCRIMINATION;
D O I：
10.1142/S1793545822500328
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Early diagnosis of liver cancer plays a significant role in reducing its high mortality. In this preliminary study, the feasibility of using serum surface-enhanced Raman spectroscopy (SERS) to identify liver cancer was studied. Serum samples were obtained from liver cancer patients and healthy controls. The differences between the SERS spectra of pre-operation and post-operation of liver cancer patients were also analyzed. The general shape and trend of SERS spectra of health control and liver cancer patients were similar. Multivariate analysis, e.g., PLS-SVM, might be useful for the discrimination of serum SERS spectra of pre-operation and post-operation.
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页数：9
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