Kolay Anirban, Majumder Subrata, Kumar Amitesh
Department of Physics, National Institute of Technology Patna, Bihar India.
Nextgen Adaptive Systems Group, Department of Electrical Engineering, National Institute of Technology Patna, Bihar India; Department of Electrical Engineering, Heritage Institute of Technology, Kolkata, West Bengal India.
Med Eng Phys. 2025 Feb;136:104282. doi: 10.1016/j.medengphy.2025.104282. Epub 2025 Jan 11.
The manuscript proposes biosensors for detecting different concentrations of neurotransmitters named dopamine, which have a critical role in the human body's neurological, hormonal, and renal systems. In this work, the primary focus is to detect dopamine, whose disorder levels cause many neurological disabilities such as Alzheimer's and Parkinson's disease. In the present work, the simulation of two different structures has been studies: a) a graphite-based structure and b) a double gate TFET structure for detecting dopamine using TCAD Silvaco software. The proposed device utilizes a graphite-based structure with respective work functions of the used materials and studies the change in ON current (I sensing factor is calculated for simulation study for V = 0.8 V). The cavity is increased to 800 µm for graphite-based biosensors for improved sensitivity. The graphite-based biosensors can detect up to 13.3 nM concentration of dopamine. Experimental electrochemical analysis results verify the proposed graphite-based biosensors' sensitivity for different dopamine concentrations. Another double gate field effect transistor (FET) biosensor has also been investigated for the detection of dopamine. The effective dielectric constant has been calculated using Bruggeman's model to check the sensitivity of double gate FET-based sensors for varying dopamine and uric acid concentrations. The sensitivity is increased with the increase of dopamine concentration percentage.
该手稿提出了用于检测不同浓度神经递质多巴胺的生物传感器，多巴胺在人体的神经、激素和肾脏系统中起着关键作用。在这项工作中，主要重点是检测多巴胺，其紊乱水平会导致许多神经功能障碍，如阿尔茨海默病和帕金森病。在当前工作中，研究了两种不同结构的模拟：a）基于石墨的结构和b）用于使用TCAD Silvaco软件检测多巴胺的双栅极TFET结构。所提出的器件利用具有所用材料各自功函数的基于石墨的结构，并研究导通电流的变化（对于V = 0.8 V的模拟研究计算I传感因子）。对于基于石墨的生物传感器，将腔增加到800 µm以提高灵敏度。基于石墨的生物传感器可以检测高达13.3 nM浓度的多巴胺。实验电化学分析结果验证了所提出的基于石墨的生物传感器对不同多巴胺浓度的灵敏度。还研究了另一种用于检测多巴胺的双栅极场效应晶体管（FET）生物传感器。使用布鲁格曼模型计算有效介电常数，以检查基于双栅极FET的传感器对不同多巴胺和尿酸浓度的灵敏度。灵敏度随着多巴胺浓度百分比的增加而增加。
