Performance of the Spreeta 2000 integrated surface plasmon resonance affinity sensor

Performance of the Spreeta 2000 integrated surface plasmon resonance affinity sensor
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DOI:
10.1016/s0925-4005(03)00113-8
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发表时间:
2003-06-01
影响因子:
8.4
通讯作者:
Elkind, JL
Elkind, JL
中科院分区:
化学1区
文献类型:
--
作者:
Chinowsky, TM;Quinn, JG;Elkind, JL

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表面等离子体共振(SPR)已经成为一个良好的建立作为一个实验室工具的研究生物结合反应,但有有限的应用范围以外的这方面。为了将SPR应用从为中心实验室设计的高成本系统转移到为现场设计的低成本便携式电子系统,德州仪器公司(Texas Instruments Inc.)(TI),开发了Spreeta,一系列紧凑的集成SPR传感器组件。本文报告了TI最新SPR设备Spreeta 2000的性能,使用TI和Prolinx Inc.开发的仪器进行测量,讨论了噪声优化技术,包括平均法和求和归一化法,并测量了折射率(RI)噪声对这些技术的依赖性。对于0.8 s的测量时间,观察到1.8 x 10(-7)RI的噪声水平。为了估计使用传感器可能获得的准确度,使用RI梯度测量传感器响应的平滑度,并且发现在RI为0.04的变化上为0.2%。作为Spreeta 2000在并入适当的仪器系统时的能力的证明,提供了用于小鼠IgG的自动测定。(C)2003 Elsevier Science B. V.保留所有权利。
Surface plasmon resonance (SPR) has become well established as a laboratory tool for the study of biological binding reactions, but has had limited application outside of this context. With the goal of moving SPR applications from high-cost systems designed for central laboratories to low-cost, portable electronic systems designed for the field, Texas Instruments Inc. (TI), has developed Spreeta, a line of compact, integrated SPR sensor components. This paper reports on the performance of TI's newest SPR device, the Spreeta 2000, measured using instruments developed by TI and by Prolinx Inc., who are developing advanced molecular interaction analysis technology utilizing a proprietary version of Spreeta 2000.Noise optimization techniques including averaging and sum normalization are discussed, and the dependence of refractive index (RI) noise on these techniques is measured. For a measurement time of 0.8 s, a noise level of 1.8 x 10(-7) RI is observed. To estimate the accuracy potentially obtainable using the sensor, the smoothness of the sensor response is measured using RI gradients, and is found to be 0.2% over a change in RI of 0.04.As a demonstration of the capabilities of the Spreeta 2000 when incorporated into an appropriate instrumentation system, an automated assay for mouse IgG is presented. (C) 2003 Elsevier Science B.V. All rights reserved.