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
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.
Recovery Situation of Liver Cancer After Surgery Using Near-infrared Surface-enhanced Raman Spectroscopy Combined with PCA-LDA Analysis
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.
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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)