期刊文献+

结节性甲状腺肿的傅里叶变换红外光谱体表测定 被引量:6

Nodular Goiter Surface Detection by FTIR Spectroscopy
下载PDF
导出
摘要 利用ATR探头和中红外光导纤维红外光谱法在体表测定34个正常甲状腺和20个结节性甲状腺肿 的傅里叶变换红外光谱。并比较了二者之间13条谱带的27个指标的差异。结果表明:结节性甲状腺肿的体 表红外光谱中:(1)-2 925 cm-1谱带(-CH2的反对称伸缩振动)的峰位,-1 250 cm-1(P=O的伸缩振 动)谱带的峰位均明显地向低波数方向移动(P<0.05);(2)谱带的相对强度(谱峰高度)比值H1 740/H1 460, H1 160/H1 460和H1 160/H1 120较正常甲状腺明显降低(P<0.05);(3)H1 080/H1 460比值明显升高(P=0.008)。 这些差异是利用体表红外光谱诊断结节性甲状腺肿的基础。 A novel non-invasive diagnosis method of nodular goiter is proposed in the present study by recording FTIR spectra on the skin overlying thyroids using fiber optical technique and attenuated total reflection probe. FTIR spectra from 20 nodular goiters and 34 normal controls were collected. Twenty seven spectral variables of 13 bands including peak position and relative intensities were extracted from the FTIR spectra so that statistic work could be conducted using SPSS. The results demonstrate that peak positions of 2 925 and 1 250 cm^-1 both shifted toward lower wave number(P〈0.05) in the FTIR spectra of nodular goiter. The relative intensity ratios of H1740/H1460, H1160/H1460, and H1160/H1120 decreased significantly in FTIR spectra of nodular goiter (P 〈 0.05). Inversely, H1080/H1460 increased significantly (P〈 0.05) in nodular goiter. The above statistic differences suggest that nodular goiter may produce some characteristic chemical substance which can diffuse onto the surface of skin and therefore be detectable using FTIR spectroscopy with fiber optic techniques. These differences are the basis of diagnosing nodular goiter by FTIR surface detection.
出处 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2005年第12期1955-1958,共4页 Spectroscopy and Spectral Analysis
基金 国家自然科学基金重点项目(50203001 30371604)科技部"973"前期专项(2002CCA01900)教育部博士点基金资助
关键词 结节性甲状腺肿 FTIR光谱 体表测定 Nodular goiter FTIR spectroscopy Surface detection
  • 相关文献

参考文献7

  • 1WANGJian-sheng XUYi zhuang SHIJing-sen etal (王健生 徐怡庄 石景森 ).光谱学与光谱分析,2003,23(15):863-863.
  • 2李庆波,杨丽敏,凌晓锋,王健生,周孝思,石景森,吴瑾光.SIMCA法在中红外癌症检测技术中的应用[J].光谱学与光谱分析,2004,24(4):414-417. 被引量:20
  • 3凌晓锋,徐智,徐怡庄,李庆波,周苏,张莉,赵红梅,侯纯升,王立新,侯宽永,周孝思,吴瑾光.傅里叶变换红外光谱应用于乳腺癌临床诊断的探索[J].光谱学与光谱分析,2005,25(2):198-200. 被引量:32
  • 4李庆波,徐智,徐怡庄,张元福,张能维,王立新,孙学军,张莉,王凡,杨丽敏,赵莹,任予,刘智,翁诗甫,周维金,吴瑾光.傅里叶变换红外光谱法用于体表无创性检测乳腺肿瘤的研究[J].高等学校化学学报,2004,25(11):2010-2012. 被引量:17
  • 5ZHAN Shao-kang, JIN Pi-huan.(詹少康,金丕焕).Statistic Test for Means of Two Groups. 39. In JIN Pi-huan (Editor).(金丕焕主编).Statistic Methods {or Medicine,(医用统计方法).Shanghai: Shanghai Medical University Press.(上海:上海医科大学出版社),1992.
  • 6徐怡庄,张元福,杨丽敏,彭歆,孙开华,李庆波,周维金,武惠中,俞光岩,刘智,翁诗甫,王晶,赵莹,徐端夫,吴瑾光.中红外光纤技术用于口腔肿瘤在体原位检测的研究[J].高等学校化学学报,2004,25(2):348-350. 被引量:11
  • 7WU Jin-guang(Editor).(吴瑾光主编).The Techniques and Application of Modem Fourier Transform Infrared Spectroscopy.(近代傅里叶变换红外光谱技术及应用).Beijing: Literature Press of Science and Technology(北京:科学技术文献出版社),1994.

二级参考文献22

  • 1孙传文,徐怡庄,孙开华,吴奇光,李维红,许振华,吴瑾光.中红外光纤技术用于腮腺肿瘤诊断的研究[J].光谱学与光谱分析,1996,16(5):22-25. 被引量:30
  • 2[3]Wu J. G., Xu Y. Z., Sun C. W. et al.. Biopolymers, Biospectroscopy[J], 2001, 62(4): 185-192
  • 3[5]Sun X. J., Soloway R. D., Wu J. G. et al.. Gastroenterlogy[J], 2003, 124(4): A420(M2127)
  • 4[6]XU Y. Z., Soloway R. D., Ling X. F. et al.. Gastroenterology[J], 2000, 118(4): 6438
  • 5[9]LING X. F., XU Y. Z., WENG S. F. et al.. Applied Spectroscopy[J], 2002, 56(5): 570-573
  • 6沈学础.The Fundamental Principle of FTIR Spectrum[A].吴瑾光主编.近代傅里叶变换红外光谱技术及应用[C].北京: 科学技术文献出版社,1994..
  • 7Wong P T T, Lacelle S, Yazdi H M. Applied Spectroscopy, 1993, 47(11): 1830.
  • 8Rigas B, Wong P T T. Cancer Research, 1992, 52(1): 84.
  • 9Rigas B, Morgello S, Coleman I S, Wong P T T. Proc. Natl. Acad. Sci., 1990, 87(10): 8140.
  • 10WENG 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.

共引文献66

同被引文献73

引证文献6

二级引证文献27

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部