کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5008759 | 1462041 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Characterization of a 1024Â ÃÂ 1024 DG-BioFET platform
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The use of biological field effect transistors (BioFETs) for the detection of biochemical events will yield new sensing systems that are smaller, less expensive, faster, and capable of multiplexing. Here, we present a novel massively parallel dual-gated BioFET (DG-BioFET) platform with over a million transistors in a 7Â ÃÂ 7Â mm2 array that has all these benefits. Utilizing on-chip integrated circuits for row and column addressing and a PXI IC tester to measure signals, the drain current of each sensor in the 1024Â ÃÂ 1024 array is serially acquired in just 90Â s. In this paper, we demonstrate that sensors in our massively parallel platform have standard transfer characteristics, high pH-sensitivity, and robust performance. In addition, we use the dual-gate operation and fast acquisition, unique in our platform, to improve the sensing performance of the system. We show that tailored biasing of the two DG-BioFET gates results in signal amplification above the Nernst limit (to 84Â mV/pH) and redundancy techniques facilitate differential referencing, improving the resulting signal-to-noise ratio. Our platform encompasses the advantages of semiconductor-based biosensors, and demonstrates the benefits of high parallelism and FET dual-gate amplification for electrical and miniaturized biological sensing.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators B: Chemical - Volume 250, October 2017, Pages 100-110
Journal: Sensors and Actuators B: Chemical - Volume 250, October 2017, Pages 100-110
نویسندگان
Carlos Duarte-Guevara, Vikhram Swaminathan, Bobby Jr, Chin-Hua Wen, Yu-Jie Huang, Jui-Cheng Huang, Yi-Shao Liu, Rashid Bashir,