1
|
Kim D, Byun S, Pu Y, Huh H, Jung Y, Kim S, Lee KY. Design of a Current Sensing System with TIA Gain of 160 dBΩ and Input-Referred Noise of 1.8 pA rms for Biosensor. SENSORS (BASEL, SWITZERLAND) 2023; 23:3019. [PMID: 36991734 PMCID: PMC10051069 DOI: 10.3390/s23063019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/06/2023] [Accepted: 03/09/2023] [Indexed: 06/19/2023]
Abstract
This paper proposes a high-gain low-noise current signal detection system for biosensors. When the biomaterial is attached to the biosensor, the current flowing through the bias voltage is changed so that the biomaterial can be sensed. A resistive feedback transimpedance amplifier (TIA) is used for the biosensor requiring a bias voltage. Current changes in the biosensor can be checked by plotting the current value of the biosensor in real time on the self-made graphical user interface (GUI). Even if the bias voltage changes, the input voltage of the analog to digital converter (ADC) does not change, so it is designed to plot the current of the biosensor accurately and stably. In particular, for multi-biosensors with an array structure, a method of automatically calibrating the current between biosensors by controlling the gate bias voltage of the biosensors is proposed. Input-referred noise is reduced using a high-gain TIA and chopper technique. The proposed circuit achieves 1.8 pArms input-referred noise with a gain of 160 dBΩ and is implemented in a TSMC 130 nm CMOS process. The chip area is 2.3 mm2, and the power consumption of the current sensing system is 12 mW.
Collapse
Affiliation(s)
- Donggyu Kim
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Sungjun Byun
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- SKAIChips Co., Ltd., Suwon 16419, Republic of Korea
| | - Younggun Pu
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- SKAIChips Co., Ltd., Suwon 16419, Republic of Korea
| | - Hyungki Huh
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- SKAIChips Co., Ltd., Suwon 16419, Republic of Korea
| | - Yeonjae Jung
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- SKAIChips Co., Ltd., Suwon 16419, Republic of Korea
| | - Seokkee Kim
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- SKAIChips Co., Ltd., Suwon 16419, Republic of Korea
| | - Kang-Yoon Lee
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
- SKAIChips Co., Ltd., Suwon 16419, Republic of Korea
| |
Collapse
|
2
|
Tian R, Weng T, Chen S, Wu J, Yin B, Ma W, Liang L, Xie W, Wang Y, Zeng X, Yin Y, Wang D. DNA nanostructure-assisted detection of carcinoembryonic antigen with a solid-state nanopore. Bioelectrochemistry 2023; 149:108284. [PMID: 36244111 DOI: 10.1016/j.bioelechem.2022.108284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/15/2022] [Accepted: 10/01/2022] [Indexed: 11/07/2022]
Abstract
In this paper, a novel detection technique for tumor marker carcinoembryonic antigen (CEA) has been developed by using a solid-state nanopore as a tool. The system utilizes the specific affinity between aptamer-modified magnetic Fe3O4 and CEA, rather than directly detecting the translocation of CEA through the nanopore. The aptamer-modified magnetic Fe3O4 was hybridized with tetrahedral DNA nanostructures (TDNs), and TDNs were released after CEA was added. We investigate the translocation behavior of individual TDNs through solid-state nanopores. The frequency of the blockage signals for TDNs is recorded for indirect detection of CEA. We realized the detection of CEA with a concentration as low as 0.1 nM and proved the specificity of the interaction between the aptamer. In addition, our designed nanopore sensing strategy can detect CEA in real samples.
Collapse
Affiliation(s)
- Rong Tian
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China
| | - Ting Weng
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China
| | - Shanchuan Chen
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China
| | - Ji Wu
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China
| | - Bohua Yin
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China; Changchun University of Science and Technology, Changchun, China
| | - Wenhao Ma
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China
| | - Liyuan Liang
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China
| | - Wanyi Xie
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China
| | - Yunjiao Wang
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China
| | - Xiaoqing Zeng
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China; Chongqing University, Chongqing, China
| | - Yajie Yin
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China.
| | - Deqiang Wang
- Chongqing School, University of Chinese Academy of Sciences, Beijing, China; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Beijing, China.
| |
Collapse
|