光谱学与光谱分析 |
|
|
|
|
|
FTIR Spectroscopic Study on Gastric Tissue Samples from Gastroscopy |
SUN Xue-jun1, 2,LI Qing-bo2, SHI Jing-sen1, REN Yu1, ZHANG Yuan-fu2, XU Duan-fu3, WU Jin-guang2* |
1. First Hospital of Xi'an Jiaotong University, Xi'an 710061, China 2. The State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China 3. Institute of Chemistry, Chinese Academy of Sciences, Beijing 100080, China |
|
|
Abstract A total of 184 specimens from gastroscopy were studied using Fourier transform infrared(FTIR) spectroscopy. The spectra of small-sized gastric endoscope samples with high quality were measured using the modified FTIR spectrometer with a MCT detector. The results show that the spectra of chronic superficial gastritis are similar to those of the normal block tissue in our previous study. But there are significant differences in band location and relative intensity between the spectra of chronic superficial gastritis and those of normal gastric tissues. Similarly, the differences exist in the spectra of chronic atrophic gastritis and those of malignant gastric tissues. In addition, the subtraction technique can provide more information to identify well the gastric samples of chronic atrophic gastritis, superficial gastritis and gastric cancer from endoscope the detection. These results indicate that FTIR spectroscopy exhibits potential to diagnose the gastric samples from gastroscopy.
|
Received: 2004-02-08
Accepted: 2004-04-16
|
|
Corresponding Authors:
WU Jin-guang
|
|
Cite this article: |
SUN Xue-jun,LI Qing-bo,SHI Jing-sen, et al. FTIR Spectroscopic Study on Gastric Tissue Samples from Gastroscopy [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24(08): 933-935.
|
|
|
|
URL: |
http://www.gpxygpfx.com/EN/Y2004/V24/I08/933 |
[1] Adachi Y, Yasuda K, Inomata M et al. Cancer, 2000, 89(7): 1418. [2] 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. [3] WU Jin-guang, XU Yi-zhuang, SUN Cuan-wen et al. Biopolymers(Biospectroscopy), 2001, 62: 185. [4] SUN Xue-jun, Roger D Soloway, WU Jin-guang et al. Gastroenterology, 2003, 124(4): A420(M2127). [5] XU Yi-zhuang, Roger D Soloway, LING Xiao-feng et al. Gastroenterology, 2000, 118: 6438. [6] WANG Jing, XU Yi-zhuang, SUN Kai-hua et al(王 晶,徐怡庄,孙开华等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2002, 22(3): 419. [7] WANG Jian-sheng, XU Yi-zhuang, SHI Jing-sen et al(王健生,徐怡庄,石景森等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2003, 23(5): 863. [8] LING Xiao-feng, XU Yi-zhuang, WENG Shi-fu et al. Applied Spectroscopy, 2002, 56(5): 570. [9] YANG Li-min, XU Zhi, ZHANG Yuan-fu et al(杨丽敏,徐 智,张元福等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2003, 23(5): 883. [10] XU Yi-zhang, ZHANG Yuan-fu, YANG Li-min et al(徐怡庄,张元福, 杨丽敏等). Chemical Journal of Chinese Universities(高等学校化学学报),2004, 25(2): 348.
|
[1] |
LIU Yan-de, WANG Shun. Research on Non-Destructive Testing of Navel Orange Shelf Life Imaging Based on Hyperspectral Image and Spectrum Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1792-1797. |
[2] |
CAO Yao-yao1, 2, 4, LI Xia1, BAI Jun-peng2, 4, XU Wei2, 4, NI Ying3*, DONG Chuang2, 4, ZHONG Hong-li5, LI Bin2, 4*. Study on Qualitative and Quantitative Detection of Pefloxacin and
Fleroxacin Veterinary Drugs Based on THz-TDS Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1798-1803. |
[3] |
YANG Jin-chuan1, 2, AN Jing-long1, 2, LI Cong3, ZHU Wen-chao3*, HUANG Bang-dou4*, ZHANG Cheng4, 5, SHAO Tao4, 5. Study on Detecting Method of Toxic Agent Containing Phosphorus
(Simulation Agent) by Optical Emission Spectroscopy of
Atmospheric Pressure Low-Temperature Plasma[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1728-1734. |
[4] |
LI Xin-xing1, 2, MA Dian-kun1, XIE Tian-hua3, ZHANG Chun-yan1, HU Jin-you3*. Research Progress of Spectroscopic Techniques in Foreign Object
Detection of Aquatic Products[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1661-1665. |
[5] |
YANG Lin-yu1, 2, 3, DING Yu1, 2, 3*, ZHAN Ye4, ZHU Shao-nong1, 2, 3, CHEN Yu-juan1, 2, 3, DENG Fan1, 2, 3, ZHAO Xing-qiang1, 2, 3. Quantitative Analysis of Mn and Ni Elements in Steel Based on LIBS and GA-PLS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1804-1808. |
[6] |
TIAN Xi1, 2, 3, CHEN Li-ping2, 3, WANG Qing-yan2, 3, LI Jiang-bo2, 3, YANG Yi2, 3, FAN Shu-xiang2, 3, HUANG Wen-qian2, 3*. Optimization of Online Determination Model for Sugar in a Whole Apple
Using Full Transmittance Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1907-1914. |
[7] |
MA Fang1, HUANG An-min2, ZHANG Qiu-hui1*. Discrimination of Four Black Heartwoods Using FTIR Spectroscopy and
Clustering Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1915-1921. |
[8] |
JIANG Rong-chang1, 2, GU Ming-sheng2, ZHAO Qing-he1, LI Xin-ran1, SHEN Jing-xin1, 3, SU Zhong-bin1*. Identification of Pesticide Residue Types in Chinese Cabbage Based on Hyperspectral and Convolutional Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1385-1392. |
[9] |
ZHANG Zhao1, 2, 3, 4, YAO Zhi-feng1, 3, 4, WANG Peng1, 3, 4, SU Bao-feng1, 3, 4, LIU Bin3, 4, 5, SONG Huai-bo1, 3, 4, HE Dong-jian1, 3, 4*, XU Yan5, 6, 7, HU Jing-bo2. Early Detection of Plasmopara Viticola Infection in Grapevine Leaves Using Chlorophyll Fluorescence Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1028-1035. |
[10] |
ZHANG Rui1, 2, 3, TANG Xin-yi1, 2, ZHU Wen-qing1, 2, 3. Research on Shortwave Infrared Multispectral Fluorescence Imaging of Mouse Vein[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1109-1116. |
[11] |
ZHANG Xiao-hong1, JIANG Xue-song1*, SHEN Fei2*, JIANG Hong-zhe1, ZHOU Hong-ping1, HE Xue-ming2, JIANG Dian-cheng1, ZHANG Yi3. Design of Portable Flour Quality Safety Detector Based on Diffuse
Transmission Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1235-1242. |
[12] |
XIAO Shi-jie1, WANG Qiao-hua1, 2*, LI Chun-fang3, 4, DU Chao3, ZHOU Zeng-po4, LIANG Sheng-chao4, ZHANG Shu-jun3*. Nondestructive Testing and Grading of Milk Quality Based on Fourier Transform Mid-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1243-1249. |
[13] |
WANG Sheng-ming1, WANG Tao1*, TANG Sheng-jin2, SU Yan-zhao1. Hyperspectral Anomaly Detection Based on 3D Convolutional
Autoencoder Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1270-1277. |
[14] |
LI Lian-jie1, 2, FAN Shu-xiang2, WANG Xue-wen1, LI Rui1, WEN Xiao1, WANG Lu-yao1, LI Bo1*. Classification Method of Coal and Gangue Based on Hyperspectral
Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1250-1256. |
[15] |
DENG Xian-ming1, ZHANG Tian-cai1, 3, LIU Zeng-can1 , LI Zhong-sheng1, XIONG Jie1, ZHANG Yi-xiang1, LIU Peng-hao1, CEN Yi2*, WU Fa-lin1. Adaptability Analysis of Multiple Features Detection Algorithms Based on Fusion Degree Model Between Target and Environment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1285-1292. |
|
|
|
|