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A Dual-Sensing Thermo-Chemical ISFET Array for DNA-Based Diagnostics.
IEEE Trans Biomed Circuits Syst ; 14(3): 477-489, 2020 06.
Article em En | MEDLINE | ID: mdl-32149696
ABSTRACT
This paper presents a 32 × 32 ISFET array with in-pixel dual-sensing and programmability targeted for on-chip DNA amplification detection. The pixel architecture provides thermal and chemical sensing by encoding temperature and ion activity in a single output PWM, modulating its frequency and its duty cycle respectively. Each pixel is composed of an ISFET-based differential linear OTA and a 2-stage sawtooth oscillator. The operating point and characteristic response of the pixel can be programmed, enabling trapped charge compensation and enhancing the versatility and adaptability of the architecture. Fabricated in 0.18  µm standard CMOS process, the system demonstrates a quadratic thermal response and a highly linear pH sensitivity, with a trapped charge compensation scheme able to calibrate 99.5% of the pixels in the target range, achieving a homogeneous response across the array. Furthermore, the sensing scheme is robust against process variations and can operate under various supply conditions. Finally, the architecture suitability for on-chip DNA amplification detection is proven by performing Loop-mediated Isothermal Amplification (LAMP) of phage lambda DNA, obtaining a time-to-positive of 7.71 minutes with results comparable to commercial qPCR instruments. This architecture represents the first in-pixel dual thermo-chemical sensing in ISFET arrays for Lab-on-a-Chip diagnostics.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transistores Eletrônicos / Técnicas de Amplificação de Ácido Nucleico / Técnicas de Diagnóstico Molecular / Dispositivos Lab-On-A-Chip Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transistores Eletrônicos / Técnicas de Amplificação de Ácido Nucleico / Técnicas de Diagnóstico Molecular / Dispositivos Lab-On-A-Chip Idioma: En Ano de publicação: 2020 Tipo de documento: Article