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尿微量白蛋白的多波段多光程光谱检测 被引量:4

Urinary Albumin Detected by Multi-band Multi-optical Path Length Spectroscopy Technique
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摘要 为研究多光程光谱法检测尿微量白蛋白含量的可行性,利用多光程光谱的非线性特性,设计自动微位移测量装置,实现对尿液样品可见波段和近红外波段的多光程(0~4.0 mm)光谱快速采集。采用偏最小二乘法,分别对样本的可见波段、近红外波段、可见-近红外双波段的多光程吸收谱与尿液中白蛋白实际含量建立回归模型,其中,可见-近红外双波段吸收谱共同建立的回归模型比单一波段吸收光谱建立的模型更优,决定系数达0.9905,最大预测绝对误差为7.56 mg/L。研究表明:多光程光谱法建模方法可用于尿液微量白蛋白含量分析,且利用可见-近红外双波段多光程光谱能得到更好的建模效果。本研究为利用多光程光谱法实现无试剂的方便、快捷检测尿液微量白蛋白及其它成分的含量奠定了基础。 To discuss the feasibility of using the visible-near infrared multi-optical path length spectroscopic information for measuring the concentration of the human urinary albumin,an automatic micro-displacement measuring device was designed,by which visible-near infrared multi-optical path length(0-4.0 mm) spectra of urine samples were obtained.The partial least square(PLS) was used to set up the models of visible,near infrared and visible-near infrared dual-band multi-optical path length absorption spectra of urine samples against the chemical value.The model in which the visible-near infrared dual-band multi-optical path length absorption spectrum used was the best of these three models.The coefficient of determination(r2) of cross-validation was 0.9905 and the most absolute error of prediction was 7.56 mg/L.These results prove the feasibility of the multi-optical path length spectroscopy technique for urinary albumin determination.This research establishes the foundation for free of reagent conveniently and rapidly detecting the urinary albumin and other components.
出处 《分析化学》 SCIE EI CAS CSCD 北大核心 2011年第4期588-591,共4页 Chinese Journal of Analytical Chemistry
基金 国家自然科学基金(Nos.60674111 30973964)资助项目
关键词 尿微量白蛋白 光谱 多光程 多波段 偏最小二乘 Urinary albumin Spectroscopy Multi-optical path length Multi-band Partial least square
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  • 1Brantsma A H ,Bakker S J L,de Zeeuw D,de Jong P E,Gansevoort R T. Journal of the American Society of Neph rology, 2006, 17 (2): 331-335.
  • 2Comper W D, Osicka T M, Clark M, Maclsaac R J, Jerums G. Kidney International, 2004, 65(5): 1850-1855.
  • 3Comper W D, Jerums G, Osicka T M. Clinical Biochemistry, 2004, 37(2): 105-111.
  • 4XUWei WEIYan-Chun XINGDa CHENQun(徐未 魏言春 邢达 陈群).分析化学,:57-60.
  • 5He Y, LiX L, Deng X F. Journal of Food Engineering, 2007, 79(4): 1238-1242.
  • 6Baptista P, Felizardo P, Menezes J C, Correia M J N. Anal. Chim. Acta, 2008, 607(2) : 153-159.
  • 7Kovalenko I V, Rippke G R, Hurburgh C R. Journal of Agricultural and Food Chemistry, 2006, 54(10) : 3485-3491.
  • 8WANGYan LUYanHui WANGRui XUKeXin(汪曦 卢延辉 王蕊 徐可欣).天津大学学报,:906-909.
  • 9YUHai-Yan YINGYiBin XIELi-Juan FUXiaPing(于海燕 应义斌 谢丽娟 傅霞萍).光谱学与光谱分析,:1118-1120.
  • 10JIANGLi-Yi LIUFu-Li CHENHuaCai YINJun-Feng(姜礼义 刘福莉 陈华才 尹军锋).中国计量学院学报,:135-138.

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