光谱学与光谱分析 |
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Discrimination of Normal and Malignant Gastric Tissues with FTIR Spectroscopy and Principal Component Analysis |
Peter R Griffiths1, YANG Hu-sheng1,LI Qing-bo2, LING Xiao-feng2, WANG Jian-sheng3, YANG Li-min2, XU Yi-zhuang2, WENG Shi-fu2, WU Jin-guang2* |
1. Department of Chemistry, College of Letters and Sciences, University of Idaho, ID, 83844, USA 2. College of Chemistry and Molecular Engineering,Third Hospital, Peking University, Beijing 100871, China 3. First Hospital of Xi′an Jiaotong University, Xi′an 710061, China |
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Abstract In this paper, the identification of normal and malignant gastric tissues, including 11 cases of cancerous tissues and 10 cases of normal tissues, was investigated using mid-IR spectroscopy and principal component analysis (PCA). The results indicated that the difference between cancerous and normal tissues was found in the first principal component. The IR detection and PCA results are in agreement with the biopsy results. The combination of these two methods might provide a new opportunity for clinical application.
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Received: 2004-02-16
Accepted: 2004-06-26
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Corresponding Authors:
WU Jin-guang
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Cite this article: |
Peter R Griffiths,YANG Hu-sheng,LI Qing-bo, et al. Discrimination of Normal and Malignant Gastric Tissues with FTIR Spectroscopy and Principal Component Analysis [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24(09): 1025-1027.
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URL: |
http://www.gpxygpfx.com/EN/Y2004/V24/I09/1025 |
[1] SUN Chuan-wen, XU Yi-zhuang, SUN Kai-hua et al (孙传文, 徐怡庄, 孙开华等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 1996, 16(5): 22. [2] PENG Qing, XU Yi-zhuang, LI Wei-hong et al(彭 卿, 徐怡庄, 李维红等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 1998, 18(5): 528. [3] WENG Shi-fu, LING Xiao-feng, YANG Li-min et al(翁诗甫,凌晓峰,杨丽敏等). Gastroenterology, 2000, 118(4): 6436. [4] Wu Jin-guang, Xu Yi-zhuang, Weng Shi-fu et al. Biopolymers(Biospectroscopy), 2001, 62: 185. [5] Rahman J, Hewlett A, Taylor D R et al. Gastroenterology, 2002, 122(4): M1449. [6] Tominaga Y. Chemometrics and Intelligent Laboratory System, 1999, 49: 105. [7] Geladi P, Kowalski B R. Analytica Chimica Acta, 1986, 185: 1. [8] Ns T, Tomas I, Tom F et al. A User-Friendly Guide to Multivariate Calibration and Classification. Chichester, UK: NIR Publications, 2002. [9] Martens H, Ns T. Multivariate Calibration. Chichester, New York: John Wiley and Sons, 1989. [10] Haaland D M. Multivariate Calibration Methods Applied to Quantitative FTIR Analyses, in Practical Fourier Transform Infrared Spectroscopy - Industreial and Laboratory Chemical Analysis. San Diego: Academic Press, Inc.,1990.
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