激光与光电子学进展, 2021, 58 (1): 0117001, 网络出版: 2021-01-28
基于SERS光谱技术的滑膜型关节炎研究 下载: 719次
Study on Synovial Arthritis Based on Surface-Enhanced Raman Scattering Spectroscopy
医用光学 关节液 滑膜型关节炎 表面增强拉曼散射 谱峰归属 主成分分析-线性判别分析 medical optics articular fluid synovial arthritis surface-enhanced Raman scattering spectral peak assignment principal component analysis-linear discriminant a
摘要
以银纳米材料作为活性基底构建的表面增强拉曼散射(SERS)检测系统可以改善拉曼技术对生物活性物质检测时信号弱的缺点。本文对18例滑膜型关节炎病患的关节液样本和15例健康人的关节液样本进行SERS检测,收集SERS光谱数据后采用谱峰归属法、主成分分析(PCA)-线性判别分析(LDA)算法对样本数据进行分析。结果表明:关节炎病患关节液样本中的多糖(477 cm -1)、DNA(722 cm -1)、δ(CH2)(1439 cm -1)、鸟嘌呤(N3)(1576 cm -1)和酰胺I带(1676 cm -1)比健康人的多,而糖原(490 cm -1)、磷脂酰肌醇(596 cm -1)、蛋白酪氨酸(640 cm -1)、葡萄糖(1071 cm -1)和蛋白酰胺吸收(1645 cm -1)比健康人低。PCA-LDA算法对该疾病的诊断特异性和灵敏度分别为83.3%和80%。本研究说明以银纳米材料为活性基底的SERS光谱技术对诊断和分析滑膜型关节炎疾病具有一定的可行性和参考价值。
Abstract
Surface-enhanced Raman scattering (SERS) detection systems based on silver nanomaterials can be used to improve the weak Raman signal in bioactive substances detection. In the present work, SERS technology was used to detect joint fluid samples of 18 synovial arthritis patients and 15 normal people,and the spectral peak assignment methods, principal component analysis (PCA)-linear discriminant analysis (LDA) algorithm were applied to analyze the sample data after collecting SERS spectral data. The results of this study show that higher concentrations of polysaccharide (477 cm -1), DNA (722 cm -1), δ(CH2) (1439 cm -1), guanine (N3) (1576 cm -1), and amide I bands (1676 cm -1) in arthritis patients compared to normal people, while the glycogen (490 cm -1), phosphatidylinositol (596 cm -1), protein tyrosine (640 cm -1), glucose (1071 cm -1), and protein glutamine absorptions (1645 cm -1) were comparatively less than normal people. The specificity and sensitivity of disease diagnosis by PCA-LDA algorithm were 83.3% and 80%, respectively. Consequently, the results of this research demonstrate that SERS spectroscopy based on silver nanomaterials has considerable feasibility and potential value in diagnosis and analysis of synovial arthritis disease.
董弦虎, 汤淑珍, 陈孙裕, 许建树, 林雅敏, 高思琪, 钟浩然, 林婷婷, 高佳敏. 基于SERS光谱技术的滑膜型关节炎研究[J]. 激光与光电子学进展, 2021, 58(1): 0117001. Dong Xianhu, Tang Shuzhen, Chen Sunyu, Xu Jianshu, Lin Yamin, Gao Siqi, Zhong Haoran, Lin Tingting, Gao Jiamin. Study on Synovial Arthritis Based on Surface-Enhanced Raman Scattering Spectroscopy[J]. Laser & Optoelectronics Progress, 2021, 58(1): 0117001.