SUNY Polytechnic InstituteUticaNY13504USA.
IEEE J Transl Eng Health Med. 2021 Feb 1;9:1700106. doi: 10.1109/JTEHM.2021.3055984. eCollection 2021.
Impedance based biosensing provides a unique, highly sensitive electrical approach to biomolecule detection, cell growth, and other biological events. To date, an impedance change due to the cell growth has been considered as a solution to detect some changes in a cell's behavior. The impedance change detection is normally measured via an impedance analyzer which is expensive and also cumbersome. Rapid and definitive diagnosis of viral infections is imperative in patient treatment process. Early detection followed by appropriate lifestyle and treatment may result to a longer, healthier life. Certain patients require continues monitoring that may require regular visits to hospitals which is not practical. Therefore, a continuous home healthcare device is needed to monitor and detect any change in a patient's health condition. In this research, a novel sensor and healthcare monitoring system is modeled, simulated, developed, and tested to detect viruses by detecting the change in the impedance due to antibodies and antigens binding. First, COMSOL simulation tool is used to develop a model to prove the concept. The model predicts increasing impedance during functionalization of electrodes with antibodies and after antigen binding steps. Second, to understand how nanoscale electrode size and spacing would affect biosensing assay (antibody-based affinity binding of a protein antigen), a model using COMSOL is developed. Third, Field Programmable Gate Arrays (FPGA) based signal processing system is developed as well to be connected to analog to digital converter (ADC) to acquire the current and voltage readings of the sensors over time. This healthcare monitoring system is used to continuously monitoring a patient's condition and reports any changes in the impedance readings which represents virus detection or at least change in the cell's behavior. The proposed sensor model is simulated, tested and verified via COMSOL and the FPGA prototype is tested and it verified the COMSOL model. This work reports that the proposed sensor can be used to detect viruses via detecting a change in the impedance.
基于阻抗的生物传感提供了一种独特的、高灵敏度的电方法,用于生物分子检测、细胞生长和其他生物事件。迄今为止,由于细胞生长引起的阻抗变化已被认为是检测细胞行为某些变化的一种解决方案。阻抗变化检测通常通过阻抗分析仪进行测量,该仪器昂贵且繁琐。病毒感染的快速和明确诊断对于患者的治疗过程至关重要。早期检测以及适当的生活方式和治疗可能会导致更长、更健康的生活。某些患者需要持续监测,这可能需要定期去医院就诊,这并不实际。因此,需要一种连续的家庭医疗保健设备来监测和检测患者健康状况的任何变化。在这项研究中,设计、模拟、开发和测试了一种新型传感器和医疗监测系统,通过检测由于抗体和抗原结合而导致的阻抗变化来检测病毒。首先,使用 COMSOL 模拟工具开发模型来证明这一概念。该模型预测在电极功能化过程中以及在抗原结合步骤之后,阻抗会增加。其次,为了了解纳米级电极尺寸和间距如何影响生物传感测定(基于抗体的蛋白质抗原亲和力结合),开发了一个使用 COMSOL 的模型。第三,还开发了基于现场可编程门阵列 (FPGA) 的信号处理系统,以便与模数转换器 (ADC) 连接,以随时间获取传感器的电流和电压读数。该医疗监测系统用于持续监测患者的病情,并报告阻抗读数的任何变化,这代表病毒检测或至少细胞行为的变化。所提出的传感器模型通过 COMSOL 进行了模拟、测试和验证,并且 FPGA 原型进行了测试并验证了 COMSOL 模型。这项工作表明,所提出的传感器可用于通过检测阻抗变化来检测病毒。