• Spectroscopy and Spectral Analysis
  • Vol. 34, Issue 5, 1178 (2014)
LUO Yun-han1、*, XU Meng-yun1, CHEN Xiao-long1, TANG Jie-yuan1, WANG Fang1, ZHANG Yi-long2, HE Yong-hong2, and CHEN Zhe1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2014)05-1178-04 Cite this Article
    LUO Yun-han, XU Meng-yun, CHEN Xiao-long, TANG Jie-yuan, WANG Fang, ZHANG Yi-long, HE Yong-hong, CHEN Zhe. Performance of Wavelength Modulation Surface Plasmon Resonance Biosensor[J]. Spectroscopy and Spectral Analysis, 2014, 34(5): 1178 Copy Citation Text show less

    Abstract

    Surface plasmon resonance (SPR) is a rapid, label-free, high-precision technique of biological sensing and analysis. The investigation on the characteristics of provides theoretical basis and instructions for the applications of SPR. A Kretschmann-structure surface plasmon resonance (SPR) biosensor based on wavelength modulation was developed, and also its sensing performances in the bulk solution was investigated. Measurements with different concentrations of bulk ethanol and ethylene glycol solutions show that the resonant wavelength shows a low sensitivity, but a higher linear response to the change in refractive index (RI), when RI is relatively smaller. With increasing refractive index , the sensitivity of resonance wavelength to changes in the refractive index increases. In the refractive index range of 1.407 0~1.430 RIU, sensitivity reaches to 11 487 nm·RIU-1. The sensor resonance wavelength stability is 0.213 8 nm, and the minimum resolution of refractive index approaches to 10-6 RIU. The advantages of the surface plasmon resonance sensor developed here results in simple operation, high sensitivity, wide detection range, low resolution, makes it an important candidate in chemical and biological sensing.
    LUO Yun-han, XU Meng-yun, CHEN Xiao-long, TANG Jie-yuan, WANG Fang, ZHANG Yi-long, HE Yong-hong, CHEN Zhe. Performance of Wavelength Modulation Surface Plasmon Resonance Biosensor[J]. Spectroscopy and Spectral Analysis, 2014, 34(5): 1178
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