光谱学与光谱分析 |
|
|
|
|
|
Study on the Pathological Uterine Tissues with a Fiber Raman Spectrometry |
WANG He-qun1,Lü Gang2,SHI Zhen-zhi1,ZHU Dan1* |
1. Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China 2. Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China |
|
|
Abstract The Raman spectrum can reflect the differences in chemical components and molecular structures of tissues and cells, and significant progress has been made in the research on structures, functions and diseases of cells and tissues with Raman spectroscopy. A fiber Raman spectrometer was used to measure the Raman spectra of some uterine malignant, benign, and normal tissues, such as uterine myometrium tissue, uterine myoma tissue, normal endometrium tissue, malignant endometrium tissue and adenomyosis tissue. After having compared the Raman spectrum of pathological tissues with that of the corresponding normal tissues, we observed that the peak referring to Methionine ν(C—S) (Met ν(C—S)) splits into two peaks in the uterine myoma tissues caused by the vibrations of tryptophan (Trp) and cartotene, which are not present in the normal tissues. There is a peak at 1 447 cm-1 in the endometrium tissues corresponding to CH2—CH3 def, which is one of the characteristic peaks of cancerous tissues. For the adenomyosis tissues, a peak caused by νC—C) skeletal-α helix is obviously weaker than that in normal tissue, and the peak induced by δ(C—O) shifts from 1 160 cm-1 in normal tissues to 1 173 cm-1 in the adenomyosis tissues. Thus, it was demonstrated that the technology of Raman spectroscopy is available for distinguishing different pathological uterine tissues at molecular level. This study is not only helpful on early diagnosis of uterine diseases, but also very crucial for the basic research on uterine diseases. And the Raman spectroscopy technology based on optic-fibers has a potential to evolve into a highly sensitive technology for diagnosis.
|
Received: 2007-06-19
Accepted: 2007-09-18
|
|
Corresponding Authors:
ZHU Dan
|
|
[1] http://www.who.int/mediacentre/factsheets/fs297/zh/index.html. [2] WANG Zhao-ping, HAN He-xiang, LI Guo-hua(汪兆平, 韩和相, 李国华). Chinese J. Light Scatter.(光散射学报),2000, 11(14): 398. [3] Lin J Q, Zhang Z H, Zeng S Q, et al. Biochem. Biophy. Res. Commun.,2006, 346: 1136. [4] Zhang Z H, Belssington D, Busch M T, et al. J. Biomed Opt.,2004, 9: 772. [5] Zhu D,Lu W,Weng Y, et al. Appl. Opt.,2007, 46(10): 1911. [6] Xiong T, Zhang Z H, Liu B F, et al. Oral Oncology,2005, 41(7): 709. [7] YAN Xun-ling, WANG Qiu-guo, DONG Rui-xin, et al(闫循领, 王秋国, 董瑞新, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2003,23(6): 1129. [8] Parekh D J, Lin W C, Herrell S D. J. Urol.,2005, 174: 1754. [9] SUN Chuan-wen,XU Yi-ming,SUN Kai-hua, et al(孙传文, 许以明, 孙开华,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),1996,16(5): 22. [10] LING Xiao-feng,LI Wei-hong,SONG Yuan-yuan(凌晓峰, 李维红, 宋苑苑). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2000,20(5): 692. [11] XU Yi-ming,ZHANG Zhi-yi,ZHANG Wei(许以明, 张志义, 张 伟). Science in Chniese, C(中国科学C),1998,28(5): 417. [12] XU Yi-ming,YANG Hong-ying,ZHANG Zhi-yi(许以明, 杨红英, 张志义). Science in Chinese, C(中国科学C),1999,29(2): 138. [13] LI Wei-hong, XU Yi-zhuang, WENG Shi-fu, et al(李维红, 徐怡庄, 翁诗甫,等). Chinese J. Light Scatter.(光散射学报), 1998,10(3-4): 114. [14] YU Ge, ZHANG Pan, TAN En-zhong, et al(于 舸, 张 攀, 谭恩忠,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(2): 295. [15] ZHAO Yuan-li, L Jing, GE Xiang-hong, et al(赵元黎, 吕 晶, 葛向红, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(7): 1267. [16] Consuelo H P M, Matousek P, Towrie M, et al. J. Biomed Opt.,2005, 10(4): 044006(1). [17] TONG Ti, YE Song, AN Li-min, et al(佟 倜, 叶 松, 安利民, 等). Journal of Jilin University(Health Sci.) (吉林大学学报·医学版),2004, 30(5): 813. [18] Mahadevan J A, Mitchell M F, Ramanujam N. Photochem. Photobiol., 1998, 68(1): 427. [19] Gniadecka M, Wulf H C, Nielsen O F. Photochem. Photobiol., 1997, 66(4): 418. [20] Xie C G, Mumtaz A D, Li Y Q. Opt. Lett.,2002,27(4): 249. [21] YU Ge, XU Xiao-xuan, NIU Yun, et al(于 舸, 徐晓轩, 牛 昀, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(11): 1359. [22] LIU Gang, LIU Jian-hong, ZHANG Lin, et al(刘 刚, 刘剑虹, 张 林, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(5): 723. [23] XU Yi-ming(许以明). Raman Spectroscopy and Its Application in Structural Biology(拉曼光谱及其在结构生物学中的应用). Beijing: Chemical Industry Press(北京: 化学工业出版社),2005. |
[1] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[2] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
[3] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
[4] |
WANG Xin-qiang1, 3, CHU Pei-zhu1, 3, XIONG Wei2, 4, YE Song1, 3, GAN Yong-ying1, 3, ZHANG Wen-tao1, 3, LI Shu1, 3, WANG Fang-yuan1, 3*. Study on Monomer Simulation of Cellulose Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 164-168. |
[5] |
WANG Lan-hua1, 2, CHEN Yi-lin1*, FU Xue-hai1, JIAN Kuo3, YANG Tian-yu1, 2, ZHANG Bo1, 4, HONG Yong1, WANG Wen-feng1. Comparative Study on Maceral Composition and Raman Spectroscopy of Jet From Fushun City, Liaoning Province and Jimsar County, Xinjiang Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 292-300. |
[6] |
LI Wei1, TAN Feng2*, ZHANG Wei1, GAO Lu-si3, LI Jin-shan4. Application of Improved Random Frog Algorithm in Fast Identification of Soybean Varieties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3763-3769. |
[7] |
WANG Zhi-qiang1, CHENG Yan-xin1, ZHANG Rui-ting1, MA Lin1, GAO Peng1, LIN Ke1, 2*. Rapid Detection and Analysis of Chinese Liquor Quality by Raman
Spectroscopy Combined With Fluorescence Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3770-3774. |
[8] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1,ZHAO Yan-jie1*,NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
[9] |
LU Wen-jing, FANG Ya-ping, LIN Tai-feng, WANG Hui-qin, ZHENG Da-wei, ZHANG Ping*. Rapid Identification of the Raman Phenotypes of Breast Cancer Cell
Derived Exosomes and the Relationship With Maternal Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3840-3846. |
[10] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[11] |
GUO He-yuanxi1, LI Li-jun1*, FENG Jun1, 2*, LIN Xin1, LI Rui1. A SERS-Aptsensor for Detection of Chloramphenicol Based on DNA Hybridization Indicator and Silver Nanorod Array Chip[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3445-3451. |
[12] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
[13] |
LIU Jia-ru1, SHEN Gui-yun2, HE Jian-bin2, GUO Hong1*. Research on Materials and Technology of Pingyuan Princess Tomb of Liao Dynasty[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3469-3474. |
[14] |
LI Wen-wen1, 2, LONG Chang-jiang1, 2, 4*, LI Shan-jun1, 2, 3, 4, CHEN Hong1, 2, 4. Detection of Mixed Pesticide Residues of Prochloraz and Imazalil in
Citrus Epidermis by Surface Enhanced Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3052-3058. |
[15] |
ZHAO Ling-yi1, 2, YANG Xi3, WEI Yi4, YANG Rui-qin1, 2*, ZHAO Qian4, ZHANG Hong-wen4, CAI Wei-ping4. SERS Detection and Efficient Identification of Heroin and Its Metabolites Based on Au/SiO2 Composite Nanosphere Array[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3150-3157. |
|
|
|
|