Performance optimisation of porous silicon rugate filter biosensor for the detection of insulin

Performance optimisation of porous silicon rugate filter biosensor for the detection of insulin
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DOI:
10.1016/j.snb.2018.07.021
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发表时间:
2018-11-10
影响因子:
8.4
通讯作者:
Voelcker, Nicolas H.
Voelcker, Nicolas H.
中科院分区:
化学1区
文献类型:
--
作者:
Chhasatia, Rinku;Sweetman, Martin J.;Voelcker, Nicolas H.

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构建了一种多孔硅Rugate滤光片(PSiRF)胰岛素生物传感器,并通过考察特定实验参数的影响进行了系统的优化。PSiRF生物传感器基于光学传感平台,使用干涉反射光谱(IRS)来监测毛孔内胰岛素与表面锚定的胰岛素结合适体(IBA)的结合。本研究的目的是确定最佳的制造工艺,以获得最大的传感器响应、最低的检测下限和最快的响应时间。用十一烯酸热硅氢加成反应作为碱的表面修饰,通过形成酰胺键与IBA相连。考察了以下制备条件:多孔膜厚度和偶联液中IBA的浓度。在胰岛素生物传感过程中,还研究了溶液在pSiRF上流动速度的影响,以努力改善性能。优化后的pSiRF生物传感器被成功地应用于检测葡萄糖刺激下人胰岛分泌的胰岛素。最后,作为概念的验证,在pSiRF表面存在人的胰岛的情况下进行了胰岛素传感,以展示该生物传感器的健壮性能和原位胰岛素生物传感的潜力。
A porous silicon rugate filter (pSiRF) insulin biosensor has been constructed and systematically optimised by investigating the effects of specific experimental parameters. The pSiRF biosensor is based on an optical sensing platform using interferometric reflectance spectroscopy (IRS) to monitor insulin binding to a surface-anchored insulin binding aptamer (IBA) within the pores. The aim of this study was to determine the optimal fabrication to elicit the maximum sensor response, lowest limit of detection (LOD) and fastest response time. Thermal hydrosilylation with undecylenic acid was used as a base surface modification, with IBA attached through formation of an amide bond. The following pSiRF fabrication conditions were investigated; porous film thickness and IBA concentration in the conjugation solution. The effect of solution flow speed over the pSiRF during insulin biosensing was also investigated in an effort to improve the performance. The optimised pSiRF biosensor was successfully applied for the detection of insulin secreted from human islets on stimulation with glucose. Finally, as a proof of concept, insulin sensing in the presence of human islets on the pSiRF surface was performed to demonstrate the robust performance of the biosensor and the potential for in-situ insulin biosensing.