A calibration method for nanowire biosensors to suppress device-to-device variation.
A calibration method for nanowire biosensors to suppress device-to-device variation.
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DOI：
10.1021/nn9011384
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发表时间：
2009-12-22
期刊：
影响因子：
17.1
通讯作者：
Zhou C
中科院分区：
文献类型：
--
作者：
Ishikawa FN;Curreli M;Chang HK;Chen PC;Zhang R;Cote RJ;Thompson ME;Zhou C
纳米线/纳米管生物传感器已经引起了人们的极大兴趣，然而，生物传感器性能中不可避免的设备到设备的变化仍然是一个巨大的挑战。我们已经开发了一种分析方法来校准纳米线生物传感器的响应，可以抑制设备到设备的变化，在传感响应显着。该方法基于我们发现的生物传感器门依赖性（dIds/dVg）和绝对响应（电流绝对变化，ΔI）之间的强相关性。In 2 O3纳米线为基础的生物传感器检测链霉亲和素被用作模型系统。研究链霉亲和素传感的液门效应和离子浓度依赖性表明，静电相互作用是传感响应的主要机制。基于这种传感机制和晶体管物理特性，预测并实验证实了绝对传感器响应（ΔI）和栅极依赖性（dIds/dVg）之间的线性相关性。使用这种相关性，开发了一种校准方法，其中每个器件的绝对响应除以dIds/dVg，并且来自不同器件的校准响应表现几乎相同。与常用的归一化方法（通过初始值归一化电导/电阻/电流）相比，使用传统的晶体管模型证明了该校准方法的优势。这里提出的方法基本上抑制了设备到设备的变化，允许在大型阵列中使用纳米传感器。
Nanowire/nanotube biosensors have stimulated significant interest; however the inevitable device-to-device variation in the biosensor performance remains a great challenge. We have developed an analytical method to calibrate nanowire biosensor responses that can suppress the device-to-device variation in sensing response significantly. The method is based on our discovery of a strong correlation between the biosensor gate dependence (dIds/dVg) and the absolute response (absolute change in current, ΔI). In2O3 nanowire based biosensors for streptavidin detection were used as the model system. Studying the liquid gate effect and ionic concentration dependence of strepavidin sensing indicates that electrostatic interaction is the dominant mechanism for sensing response. Based on this sensing mechanism and transistor physics, a linear correlation between the absolute sensor response (ΔI) and the gate dependence (dIds/dVg) is predicted and confirmed experimentally. Using this correlation, a calibration method was developed where the absolute response is divided by dIds/dVg for each device, and the calibrated responses from different devices behaved almost identically. Compared to the common normalization method (normalization of the conductance/resistance/current by the initial value), this calibration method was proved advantageous using a conventional transistor model. The method presented here substantially suppresses device-to-device variation, allowing the use of nanosensors in large arrays.
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影响因子：
10.8
作者：
Heo, Kwang;Cho, Eunhee;Hong, Seunghun
通讯作者：
Hong, Seunghun
影响因子：
15
作者：
Han, S;Liu, XL;Zhou, CW
通讯作者：
Zhou, CW
DOI：
10.1073/pnas.0837064100
发表时间：
2003-04-29
影响因子：
11.1
作者：
Chen, RJ;Bangsaruntip, S;Dai, HJ
通讯作者：
Dai, HJ
影响因子：
10.8
作者：
Fan, Zhiyong;Ho, Johnny C.;Javey, Ali
通讯作者：
Javey, Ali
影响因子：
4.6
作者：
Agarwal, Ajay;Buddharaju, K.;Kwong, D. L.
通讯作者：
Kwong, D. L.