基于NIR-SERS技术结合PCA-LDA统计分析肝癌术后恢复状况

熊洋; 张德清; 高飞; 司民真

doi:10.3788/fgxb20163710.1275

您当前的位置：

首页 >

文章列表页 >

基于NIR-SERS技术结合PCA-LDA统计分析肝癌术后恢复状况

发光学应用及交叉前沿 | 更新时间：2020-08-12

- 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
- 发光学报 2016年37卷第10期页码：1275-1280
- 作者机构：
  
  1. 楚雄师范学院光谱技术应用研究所,云南楚雄,675000
  2. 遵义医学院基础医学院,贵州遵义,563003
- 作者简介：
- 基金信息：
  
  国家自然科学基金（13064001）();云南省应用基础研究计划青年项目（2013FD044，2016FD086）资助()
- DOI：10.3788/fgxb20163710.1275
  中图分类号： O657.3
- 纸质出版日期：2016-10-5，
  
  收稿日期：2016-5-6，
  
  修回日期：2016-8-14，
扫描看全文
熊洋, 张德清, 高飞等. 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): 1275-1280

XIONG Yang, ZHANG De-qing, GAO Fei etc. 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): 1275-1280
熊洋, 张德清, 高飞等. 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): 1275-1280 DOI： 10.3788/fgxb20163710.1275.

XIONG Yang, ZHANG De-qing, GAO Fei etc. 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): 1275-1280 DOI： 10.3788/fgxb20163710.1275.

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.

关键词

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

Keywords

spectroscopyNIR-SERSliver cancer after surgeryOxyHbstatistical analysis

references

丁松园,吴德印,杨志林,等. 表面增强拉曼散射增强机理的部分研究进展 [J]. 高等学校化学学报, 2008, 29(12):2569-2581. DING S Y, WU D Y, YANG Z L, et al.. Some progresses in mechanistic studies on surface-enhanced Raman scattering[J]. Chem. J. Chin. Univ., 2008, 29(12):2569-2581. (in Chinese)

MEISEL S, STCKEL S, RSCH P, et al.. Identification of meat-associated pathogens via Raman microspectroscopy [J]. Food Microbiol., 2014, 38:36-43.

SUO L M, FANG Z, HU Y S, et al.. FT-Raman spectroscopy study of solvent-in-salt electrolytes [J]. Chin. Phys. B, 2016, 25(1):016101-1-4.

黄海北,郑卫民,丛伟艳,等. 掺杂Be受主GaAs/AlAs多量子阱的拉曼光谱 [J]. 红外与毫米波学报, 2014, 33(3):278-282. HUANG H B, ZHENG W M, CONG W Y, et al.. Raman spectra of Be -doped GaAs/AlAs multiple quantum wells [J]. J. Infrared Millim. Waves, 2014, 33(3):278-282. (in Chinese)

PAUDEL A, RAIJADA D, RANTANEN J. Raman spectroscopy in pharmaceutical product design [J]. Adv. Drug Deliv. Rev., 2015, 89:3-20.

BHATTACHARJEE T, MARU G, INGLE A, et al.. Transcutaneous in vivo Raman spectroscopy of breast tumors and pretumors [J]. J. Raman Spectrosc., 2015, 46(11):1053-1061.

MCGREGOR H C, SHORT M A, MCWILLIAMS A, et al.. Real-time endoscopic Raman spectroscopy for in vivo early lung cancer detection [J]. J. Biophotonics, 2016, doi: 10.1002/jbio.201500204.

LIN J Y, HUANG Z F, FENG S Y, et al.. Label-free optical detection of type Ⅱ diabetes based on surface-enhanced Raman spectroscopy and multivariate analysis [J]. J. Raman Spectrosc., 2014, 45(10):884-889.

KAHRAMAN M, YAZICI M M, SAHIN F, et al.. Convective assembly of bacteria for surface-enhanced Raman scattering [J]. Langmuir, 2008, 24(3):894-901.

FLEISCHMANN M, HENDRA P J, MCQUILLAN A J. Raman spectra of pyridine adsorbed at a silver electrode [J]. Chem. Phys. Lett., 1974, 26(2):163-166.

DAS G, GENTILE F, COLUCCIO M L, et al.. Principal component analysis based methodology to distinguish protein SERS spectra [J]. J. Mol. Struct., 2011, 993(1-3):500-505.

CHEN Y P, CHEN G, ZHENG X W, et al.. Discrimination of gastric cancer from normal by serum RNA based on surface-enhanced Raman spectroscopy (SERS) and multivariate analysis [J]. Med. Phys., 2012, 39(9):5664-5668.

PINHEIRO P C, FATEIXA S, NOGUEIRA H I S, et al.. SERS studies of DNA nucleobases using new silver poly(methyl methacrylate) nanocomposites as analytical platforms [J]. J. Raman Spectrosc., 2014, 46(1):47-53.

HENGLEIN A. Non-metallic silver clusters in aqueous solution: stabilization and chemical reactions [J]. Chem. Phys. Lett., 1989, 154(5):473-476.

JING C Y, FANG Y. Simple method for electrochemical preparation of silver dendrites used as active and stable SERS substrate [J]. J. Colloid Interf. Sci., 2007, 314(1):46-51.

HABERMEHL D, HAASE K, RIEKEN S, et al.. Defining the role of palliative radiotherapy in bone metastasis from primary liver cancer: an analysis of survival and treatment efficacy [J]. Tumori, 2011, 97(5):609-613.

BAMRUNGSAP S, TREETONG A, APIWAT C, et al.. SERS-fluorescence dual mode nanotags for cervical cancer detection using aptamers conjugated to gold-silver nanorods [J]. Microchim. Acta, 2016, 183(1):249-256.

MALLIA R J, MCVEIGH P Z, FISHER C J, et al.. Wide-field multiplexed imaging of EGFR-targeted cancers using topical application of NIR SERS nanoprobes [J]. Nanomedicine, 2015, 10(1):89-101.

DINISH U S, BALASUNDARAM G, CHANG Y T, et al.. Sensitive multiplex detection of serological liver cancer biomarkers using SERS-active photonic crystal fiber probe [J]. J. Biophotonics, 2013, 7(11-12):956-965.

LIN D, PAN J, HUANG H, et al.. Label-free blood plasma test based on surface-enhanced Raman scattering for tumor stages detection in nasopharyngeal cancer [J]. Sci. Rep., 2014, 4:4751.

LIU R M, XIONG Y, TANG W Y, et al.. Near infrared surface-enhanced Raman spectroscopy (NIR-SERS) studies on oxyheamoglobin (OxyHb) of liver cancer based on PVA-Ag nanofilm [J]. J. Raman Spectrosc., 2014, 44(3):362-369.

熊洋,李云涛,郭嬿,等. 结合多变量统计分析肝癌氧合血红蛋白表面增强拉曼光谱 [J]. 光谱学与光谱分析, 2012, 32(9):2427-2432. XIONG Y, LI Y T, GUO Y, et al.. Analysis of surface enhanced Raman scattering spectra of oxyhemoglobin for liver cancer with combined multivariate statistics [J]. Spectrosc. Spect. Anal., 2012, 32(9):2427-2432. (in Chinese)

EMORY S R, NIE S M. Screening and enrichment of metal nanoparticles with novel optical properties [J]. J. Phys. Chem. B, 1998, 102(3):493-497.

JAIN R K. Determinants of tumor blood flow: a review [J]. Cancer Res., 1988, 48(10):2641-2658.

熊洋. 基于多变量统计分析肝癌氧合血红蛋白NIR-SERS光谱 [D]. 郑州:郑州大学, 2013. XIONG Y. Based on Multivariate Statistical Methods to Analyze Liver Cancer Oxyhemoglobin NIR-SERS Spectrum [D]. Zhengzhou: Zhengzhou University, 2013. (in Chinese)

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Si掺杂对GaAs纳米线发光特性的影响

植物油荧光光谱有效信息提取及其自动分类

化学发光检测光子计数的统计特性

AlGaInP基LED阵列平均结温的质心波长表征

中性色温下两基色、三基色荧光粉转换白光LED的光谱优化