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Dou X, Wu Q, Luo S, Yang J, Dong B, Wang L, Qu H, Zheng L. A miniaturized biosensor for rapid detection of tetracycline based on a graphene field-effect transistor with an aptamer modified gate. Talanta 2024; 271:125702. [PMID: 38271844 DOI: 10.1016/j.talanta.2024.125702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 01/09/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024]
Abstract
Tetracycline is a broad-spectrum antibiotic for human, poultry and livestock that may cause health damage when enriched in humans. Therefore, it is essential to create a rapid tetracycline assay with high sensitivity, specificity and portability. In this study, a miniaturized tetracycline biosensor based on aptamer-modified graphene field-effect transistor (Apt-SGGT) was fabricated and two detection strategies using transfer characteristic curves and real-time channel current were established for different circumstances. The detection limits of the two strategies were 2.073 pM and 100 pM, respectively. The biosensor also demonstrated outstanding stability, anti-interference and specificity ability. Finally, the biosensor was employed to detect the content of tetracycline in Skim Milk with outstanding recovery rate. We believe that the miniaturized Apt-SGGT biosensor with appropriate detection strategies will provide an ideal portable sensing platform for many important analytes in food with superior selectivity and sensitivity.
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Affiliation(s)
- Xianzhi Dou
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Qingliu Wu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Songjia Luo
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Jing Yang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Baolei Dong
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Lu Wang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China
| | - Hao Qu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China; Engineering Research Center of Bioprocess, Ministry of Education, Hefei University of Technology, Hefei, 230009, China.
| | - Lei Zheng
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009, China; Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, 230009, China.
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Ren Z, Wang J, Xue C, Deng M, Yu H, Lin T, Zheng J, He R, Wang X, Li J. Ultrahighly Sensitive and Selective Glutathione Sensor Based on Carbon Dot-Functionalized Solution-Gate Graphene Transistor. Anal Chem 2023; 95:17750-17758. [PMID: 37971943 DOI: 10.1021/acs.analchem.3c03656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
A new type of carbon dot (CD)-functionalized solution-gated graphene transistor (SGGT) sensor was designed and fabricated for the highly sensitive and highly selective detection of glutathione (GSH). The CDs were synthesized via a one-step hydrothermal method using DL-thioctic acid and triethylenetetramine (TETA) as sources of S, N, and C. The CDs have abundant amino and carboxyl groups and were used to modify the surface of the gate electrode of SGGT as probes for detecting GSH. Remarkably, the CDs-SGGT sensor exhibited excellent selectivity and ultrahigh sensitivity to GSH, with an ultralow limit of detection (LOD) of up to 10-19 M. To the best of our knowledge, the sensor outperforms previously reported systems. Moreover, the CDs-SGGT sensor shows rapid detection and good stability. More importantly, the detection of GSH in artificial serum samples was successfully demonstrated.
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Affiliation(s)
- Zhanpeng Ren
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Jianying Wang
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
- Key Laboratory of Organosilicon Chemistry and Material Technology of Ministry of Education, Hangzhou Normal University, Hangzhou 311121, P. R. China
| | - Chenglong Xue
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Minghua Deng
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Haiyang Yu
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Tianci Lin
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Jiayuan Zheng
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Rongxiang He
- Key Laboratory of Optoelectronic Chemical Materials and Devices of Ministry of Education, Jianghan University, Wuhan 430056, P. R. China
| | - Xianbao Wang
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Jinhua Li
- Key Laboratory for the Green Preparation and Application of Functional Materials, Ministry of Education, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, P. R. China
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Le PG, Choi SH, Cho S. Alzheimer's Disease Biomarker Detection Using Field Effect Transistor-Based Biosensor. BIOSENSORS 2023; 13:987. [PMID: 37998162 PMCID: PMC10669709 DOI: 10.3390/bios13110987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023]
Abstract
Alzheimer's disease (AD) is closely related to neurodegeneration, leading to dementia and cognitive impairment, especially in people aged > 65 years old. The detection of biomarkers plays a pivotal role in the diagnosis and treatment of AD, particularly at the onset stage. Field-effect transistor (FET)-based sensors are emerging devices that have drawn considerable attention due to their crucial ability to recognize various biomarkers at ultra-low concentrations. Thus, FET is broadly manipulated for AD biomarker detection. In this review, an overview of typical FET features and their operational mechanisms is described in detail. In addition, a summary of AD biomarker detection and the applicability of FET biosensors in this research field are outlined and discussed. Furthermore, the trends and future prospects of FET devices in AD diagnostic applications are also discussed.
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Affiliation(s)
- Phan Gia Le
- Department of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea
| | - Seong Hye Choi
- Department of Neurology, College of Medicine, Inha University, Incheon 22332, Republic of Korea
| | - Sungbo Cho
- Department of Electronic Engineering, Gachon University, Seongnam-si 13120, Republic of Korea
- Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon 21999, Republic of Korea
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