Journal of Innovative Optical Health Sciences, Volume. 15, Issue 5, 2250032(2022)
Multivariate analysis of serum surface-enhanced Raman spectroscopy of liver cancer patients
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.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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Qiwen Wang, Sen Wang, Shengdong Cui, Deyuan Yang, Zheng Huang, Shusen Xie. Multivariate analysis of serum surface-enhanced Raman spectroscopy of liver cancer patients[J]. Journal of Innovative Optical Health Sciences, 2022, 15(5): 2250032
Category: Research Articles
Received: Jan. 12, 2022
Accepted: Jun. 27, 2022
Published Online: Oct. 24, 2022
The Author Email: Wang Qiwen (huangz@fjnu.edu.cn), Wang Sen (huangz@fjnu.edu.cn), Cui Shengdong (huangz@fjnu.edu.cn), Yang Deyuan (huangz@fjnu.edu.cn), Huang Zheng (huangz@fjnu.edu.cn), Xie Shusen (ssxie@fjnu.edu.cn)