J. Ajayan, P. Mohankumar, R. Mathew, L. R. Thoutam, B. K. Kaushik and D. Nirmal
"Organic Electrochemical Transistors (OECTs)
Advancements and Exciting Prospects for Future Biosensing Applications"
in IEEE Transactions on Electron Devices, vol. 70, no. 7, pp. 3401-3412, July 2023
DOI: 10.1109/TED.2023.3271960
Abstract: Over the past few decades, the field of organic electronics has depicted proliferated growth, due to the advantageous characteristics of organic semiconductors, such as tunability through synthetic chemistry, simplicity in processing, cost-effectiveness, and low-voltage operation, to cite a few. Organic electrochemical transistors (OECTs) have recently emerged as a highly promising technology in the area of biosensing and flexible electronics. OECT-based biosensors are capable of sensing brain activities, tissues, monitoring cells, hormones, DNAs, and glucose. Sensitivity, selectivity, and detection limit are the key parameters adopted for measuring the performance of OECT-based biosensors. This article highlights the advancements and exciting prospects of OECTs for future biosensing applications, such as cell-based biosensing, chemical sensing, DNA/ribonucleic acid (RNA) sensing, glucose sensing, immune sensing, ion sensing, and pH sensing. OECT-based biosensors outperform other conventional biosensors because of their excellent biocompatibility, high transconductance, and mixed electronic–ionic conductivity. At present, OECTs are fabricated and characterized in millimeter and micrometer dimensions, and miniaturizing their dimensions to nanoscale is the key challenge for utilizing them in the field of nanobioelectronics, nanomedicine, and nanobiosensing. URL
Y. Wu et al.,
"A Dynamic Concentration-Dependent Analytical I,–V Model for LG-GFET Biosensor"
in IEEE Transactions on Electron Devices, vol. 70, no. 6, pp. 3255-3262, June 2023,
DOI: 10.1109/TED.2023.3268139.
Abstract: In the past few years, liquid-gated graphene field-effect transistors (LG-GFETs) have been widely used in biological detection due to their unique advantages. An accurate transistor model is the basis of biological detection circuit design, however, the reported GFET models are mainly focusing on solid-gated GFETs. Therefore, it is essential to conduct the research on LG-GFET model. In this article, an improved IV model of LG-GFET is presented based on Fregonese’s model. An improved electric double-layer capacitor model is proposed for LG-GFET. Then, the relationship among iron concentration, bias voltages, and current is studied comprehensively. Furthermore, the drain current response change with time is taken into account and the dynamic concentration-dependent model is established. To verify the accuracy of the proposed model, LG-GFET is simulated in TCAD software and fabricated to perform the measurement. The simulation results and measurement results are compared with the model results, respectively. These results show that the relative root-mean-square error (RMSE) to both simulation and measurement results is less than 5.7%. It is revealed that the proposed model can be applied to biological detection and achieve high accuracy.URL
Special Issue "Biosensors for Agriculture, Environment and Food"
Biosensors (ISSN 2079-6374) an Open Access Journal by MDPI
Editor-in-Chief Prof. Dr. Giovanna Marrazza
Department of Chemistry “Ugo Schiff”, University of Florence, Italy
Food safety has become a hot issue concerned by governments, people and society. Biosensors have been playing a greater vital role in monitoring agro-products and their production process to ensure end-foods’ quality and safety, and they usually demonstrate a lot of benefits, such as being sensitive, rapid, portable, cheap and especially suitable for on-site testing. So, this topic will concern the development of biosensors and analytical methods, especially for chemicals, microorganisms, biotoxins in agriculture, environment and food samples. It is suggested that biosensors should be in line with the trend of five “S”, Sensitivity, Specificity (Selection), Speed, Simultaneously, Small (Smart), and that all detection methods should be validated using agriculture, environment or food samples. Interdisciplinary research and integrative application research related to biosensors are also encouraged, including review articles and research articles.
