Please wait a minute...
J4  2010, Vol. 44 Issue (12): 2269-2273    DOI: 10.3785/j.issn.1008-973X.2010.12.007
自动化技术、计算机技术     
SPR光谱信号的一阶矩数据分析方法
郦雅平, 王晓萍, 赵光灿, 詹舒越, 刘玉玲
浙江大学 现代光学仪器国家重点实验室,光电信息工程学系,浙江 杭州 310027
First moment data analysis method for surface plasmon
resonance spectrum signals
LI Ya-ping, WANG Xiao-ping, ZHAO Guang-can, ZHAN Shu-yue, LIU Yu-ling
State Key Laboratory for Modern Optical Instrumentation Department of Optical Engineering and Information Science,
Zhejiang University, Hangzhou 310027,China
 全文: PDF  HTML
摘要:

为了降低光源光强波动对表面等离子体共振(SPR)光谱信号的影响,提出一种基于幅值的SPR光谱信号动态基线一阶矩分析法.光源光强的波动会导致SPR光谱信号的幅值出现整体偏移,但SPR光谱信号的幅度变化较小,该方法的基线根据SPR光谱信号的最小幅值而动态调整.运用自行研制的SPR检测系统,测量了多种质量浓度的氯化钠和葡萄糖溶液得到光谱信号.采用固定基线法、固定宽度的动态基线法、基于面积的动态基线法和基于幅值的动态基线法等4种不同的一阶矩分析法得到光谱信号的共振像素.结果表明:动态基线法明显好于固定基线法,基于幅值的动态基线法其检出限(LOD)接近或者略好于其他2种动态基线法,且其在计算时间上明显少于另外两者,更适合于采样频率更高、实时性要求更强的SPR检测器.

Abstract:

A first moment analysis method of dynamic baseline based on amplitude was proposed in order to overcome the influence of fluctuations of optical power on surface plasmon resonance (SPR) spectrum signals. The amplitude changes little while the values of SPR spectrum signals fluctuate because of the instability of optical power. This method adjusts the baseline dynamically according to the minimum value. Four different first moment analysis methods were used to obtain the resonance pixels by calculating the spectrum signals which were obtained by measuring NaCl and C6H12O6 solutions of various concentrations using a self-building SPR detection system. The resonance pixels of spectra were determined by the fixed baseline method, the fixed width based, the area based, and the amplitude based dynamic baseline method. The result shows that the dynamic baseline methods are significantly better than the fixed baseline method. The amplitude based dynamic baseline method is close to or less than the area based and fixed width based dynamic baseline methods on detection limit, and needs much less calculating time, so it is more suitable for SPR detectors which have high requirement for sampling rate and real-time.

出版日期: 2010-12-01
:  TP 212.14  
基金资助:

国家“863”高技术研究发展计划资助项目(2007AA09Z114),浙江省科技计划优先主题资助项目(2007C13066),浙江大学2007年学科交叉预研基金资助项目(812651).

通讯作者: 王晓萍,女,教授.     E-mail: xpwang@zju.edu.cn
作者简介: 郦雅平(1983—),女,浙江绍兴人,硕士生,从事表面等离子共振检测仪器方面研究.E-mail:liyaping.cv@gmail.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

郦雅平, 王晓萍, 赵光灿, 詹舒越, 刘玉玲. SPR光谱信号的一阶矩数据分析方法[J]. J4, 2010, 44(12): 2269-2273.

LI Ya-ping, WANG Xiao-ping, ZHAO Guang-can, ZHAN Shu-yue, LIU Yu-ling. First moment data analysis method for surface plasmon
resonance spectrum signals. J4, 2010, 44(12): 2269-2273.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2010.12.007        http://www.zjujournals.com/eng/CN/Y2010/V44/I12/2269

[1] HOMOLA J, YEE S S, GAUGLITZ G. Surface plasmon resonance sensors: review [J]. Sensors and Actuators BChemical, 1999, 54(1/2): 3-15.
[2] ZENG H R, WANG X P, ZHANG X J. Studies of surface plasmon resonance sensor using bibeam differential measurement approach [J]. Journal of Zhejiang University Science A, 2007, 8(1/2): 2027-2031.
[3] SHANKARAN D R, GOBI V, MIURA N. Recent advancements in surface plasmon resonance immunosensors for detection of small molecules of biomedical, food and environmental interest [J]. Sensors and Actuators B, 2007, 121(1): 158-177.
[4] HOMOLA J. Surface plasmon resonance sensors for detection of chemical and biological species [J]. Chemical Reviews, 2008, 108(2): 462-493.
[5] OWEGA S, POITRAS D. Local similarity matching algorithm for determining SPR angle in surface plasmon resonance sensors [J]. Sensors and Actuators B, 2007, 123(1): 35-41.
[6] JOHANSEN K, STLBERG R, LUNDSTR M I, et al. Surface plasmon resonance: instrumental resolution using photo diode arrays \
[J\]. Measurement Science and Technology, 2000, 11(11): 1630-1638.
[7] NENNINGER G G, PILIARIK M, HOMOLA J. Data analysis for optical sensors based on spectroscopy of surface plasmons [J]. Measurement Science and Technology, 2002, 13(12): 2038-2046.
[8] THIRSTRUP C, ZONG W. Data analysis for surface plasmon resonance sensors using dynamic baseline algorithm [J]. Sensors and Actuators B, 2005, 106(2): 796-802.
[9] CEPRIA G, CASTILLO J R. Surface plasmon resonancebased detection an alternative to refractive index detection in highperformance liquid chromatography [J]. Journal of Chromatography A, 1997, 759(1/2): 27-35.
[10] WHELAN R J, ZARE R N. Surface plasmon resonance detection for capillary electrophoresis separation[J].Analytical Chemistry, 2003, 75(6): 1542-1547.
[11] DU M, ZHOU F. Postcolumn renewal of sensor surfaces for highperformance liquid chromatographysurface plasmon resonance detection [J]. Analytical Chemistry, 2008, 80(11): 4225-4230.
[12] 严蔚敏,吴伟民. 数据结构:C语言版[M]. 北京:清华大学出版社,1996: 214-289.

[1] 赵光灿,王晓萍,陈惠滨,等. 基于表面等离子共振的全自动浓度检测系统[J]. J4, 2009, 43(8): 1424-1427.