Huang Chun Jen, Knoll Wolfgang, Sessitsch Angela, Dostalek Jakub
Graduate Institute of BioMedical Engineering, National Central University, (32001) No. 300, Jhongda Rd., Jhongli City, Taoyuan County 320, Taiwan.
AIT - Austrian Institute of Technology, BioSensor Technologies, Muthgasse 11, 1190 Vienna, Austria.
Talanta. 2014 May;122:166-71. doi: 10.1016/j.talanta.2014.01.022. Epub 2014 Jan 31.
The sensitivity of surface plasmon resonance (SPR) biosensor technology for detection of bacterial analytes is investigated as a function of (a) sample flow conditions and (b) depth of probing electromagnetic field. These parameters are extremely important as such analytes exhibit large (of around micrometer) size which significantly hinders their diffusion-driven transfer from a liquid sample to the sensor and their subsequent specific capture by attached recognition elements. This is due to small diffusion coefficient and strong shear stress that decreases the stability of bonds between the bacterium specific epitope and recognition elements immobilized at the sensor surface. The importance of accurate control of sample flow conditions and probing depth in order to maximize SPR sensor response is experimentally demonstrated and supported by an analytical theory. The tuning of the probing depth of surface plasmon evanescent field to match the size of the target analyte is pursued by using long range surface plasmons.
研究了表面等离子体共振(SPR)生物传感器技术检测细菌分析物的灵敏度与以下因素的关系:(a)样品流动条件;(b)探测电磁场的深度。这些参数极为重要,因为此类分析物尺寸较大(约为微米级),这严重阻碍了它们通过扩散从液体样品转移至传感器以及随后被附着的识别元件特异性捕获。这是由于扩散系数小以及剪切应力强,从而降低了细菌特异性表位与固定在传感器表面的识别元件之间键的稳定性。实验证明并通过分析理论支持了精确控制样品流动条件和探测深度以最大化SPR传感器响应的重要性。通过使用长程表面等离子体来调整表面等离子体倏逝场的探测深度,以匹配目标分析物的尺寸。