发光学报, 2016, 37 (10): 1275, 网络出版: 2017-01-13
基于NIR-SERS技术结合PCA-LDA统计分析肝癌术后恢复状况
Recovery Situation of Liver Cancer After Surgery Using Near-infrared Surface-enhanced Raman Spectroscopy Combined with PCA-LDA Analysis
光谱学 近红外表面增强拉曼散射 肝癌术后 氧合血红蛋白 统计分析 spectroscopy NIR-SERS liver cancer after surgery OxyHb statistical analysis
摘要
采用近红外表面增强拉曼散射(NIR-SERS)光谱技术, 基于高效、稳定、低廉的纳米银膜基底检测了25例肝癌患者、25例肝癌术后患者和25例健康人的氧合血红蛋白(OxyHb)。对比发现, 健康人、肝癌术后患者和肝癌患者的OxyHb 的NIR-SERS光谱谱峰强度呈现依次下降的趋势, 表明从谱峰强度可以初步判断肝癌术后患者恢复情况。利用主成分分析(PCA)结合线性判别分析(LDA)统计方法进行分析, 25个肝癌术后患者中8人判别为健康人, 其余17人判别为肝癌患者。判别分组与实际情况相符, 表明PCA-LDA统计方法可以更准确地判断肝癌术后患者恢复状况。因此, NIR-SERS技术结合PCA-LDA统计方法有望为肝癌术后患者恢复状况的诊断提供一种新的思路和方法。
Abstract
The near-infrared surface-enhanced Raman scattering (NIR-SERS) spectra with high efficiency, stable and low-cost silver nanofilm were used to detect the oxyhemoglobin (OxyHb) of 25 healthy persons, 25 liver cancer patients and 25 liver cancer patients after surgery. Compared the intensity of three group spectra, it was found that the intensity of Raman peaks decreased in sequence for healthy persons, liver cancer patients after surgery and liver cancer patients, indicating that this method could preliminary judge the recovery situation of liver cancer patient after surgery. Meanwhile, by using principal component analysis (PCA) combined with linear discriminant analysis(LDA), 25 liver cancer patients after surgery were divided into two groups, 8 healthy persons and 17 liver cancers. It accorded with the actual situation. Therefore, PCA-LDA can more accurate judge the recovery situation of liver cancer patients after surgery. The results demonstrate that OxyHb NIR-SERS spectroscopy may be a potentially clinically useful tool for the diagnosis of recovery situation of liver cancer patients after surgery.
熊洋, 张德清, 高飞, 司民真. 基于NIR-SERS技术结合PCA-LDA统计分析肝癌术后恢复状况[J]. 发光学报, 2016, 37(10): 1275. XIONG Yang, ZHANG De-qing, GAO Fei, SI Min-zhen. Recovery Situation of Liver Cancer After Surgery Using Near-infrared Surface-enhanced Raman Spectroscopy Combined with PCA-LDA Analysis[J]. Chinese Journal of Luminescence, 2016, 37(10): 1275.