Yu Zhichao, Lin Qianyun, Gong Hexiang, Li Meijin, Tang Dianping
Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, PR China.
Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, PR China.
Biosens Bioelectron. 2023 Mar 1;223:115028. doi: 10.1016/j.bios.2022.115028. Epub 2022 Dec 22.
Considering the fact that acute myocardial infarction has shown a trend towards younger age and has become a major health problem, it is necessary to develop rapid screening devices to meet the needs of community health care. Herein, we developed an artificial neural network-assisted solar-powered photoelectrochemical (SP-PEC) sensing platform for rapid screening of cardiac troponin I (cTnI) protein in the prognosis of patients with acute myocardial infarction (AMI) by integrating a self-powered photoelectric signal output system with low-cost screen-printed paper electrodes functionalized with ultrathin BiOS (BOS) nanosheets. An integrated solar-powered PEC immunoassay with micro-electro-mechanical system (MEMS) was constructed without an excitation light source. The quantification of cTnI protein was obtained by the electrical signal changes caused by the electro-oxidation process of HO, generated by the classical split immune reaction, on the electrode surface. The test electrodes were developed as dual working electrodes, one for target cTnI testing and the other for evaluating light intensity, to reduce the temporal inconsistency of sunlight. The photoelectrodes were discovered to exhibit satisfactory negative response to target concentrations in the dynamic range of 2.0 pg mL-10 ng mL since being regressed in an improved artificial neural network (ANN) model using the pooled dataset of target signals affected by the light source. The difference of hot electron and hole transfer behavior in different thickness of nano-materials was determined by finite element analysis (FEA), which provided a theoretical basis for the development of efficient PEC sensors. This work presents a unique perspective for the design of a revolutionary low-cost bioassay platform by inventively illuminating the PEC biosensor's component process without the use of light.
考虑到急性心肌梗死已呈现出年轻化趋势并成为一个主要的健康问题,开发快速筛查设备以满足社区医疗保健的需求是必要的。在此,我们通过将自供电光电信号输出系统与用超薄BiOS(BOS)纳米片功能化的低成本丝网印刷纸电极相结合,开发了一种人工神经网络辅助的太阳能光电化学(SP-PEC)传感平台,用于在急性心肌梗死(AMI)患者的预后中快速筛查心肌肌钙蛋白I(cTnI)蛋白。构建了一种无需激发光源的集成微机电系统(MEMS)的太阳能PEC免疫测定法。cTnI蛋白的定量是通过经典分裂免疫反应在电极表面产生的HO的电氧化过程引起的电信号变化获得的。测试电极被开发为双工作电极,一个用于目标cTnI测试,另一个用于评估光强度,以减少阳光的时间不一致性。由于在使用受光源影响的目标信号的合并数据集在改进的人工神经网络(ANN)模型中进行回归,发现光电极在2.0 pg mL-10 ng mL的动态范围内对目标浓度表现出令人满意的负响应。通过有限元分析(FEA)确定了不同厚度纳米材料中热电子和空穴转移行为的差异,这为高效PEC传感器的开发提供了理论基础。这项工作通过创造性地阐明无需使用光的PEC生物传感器的组件过程,为设计革命性的低成本生物测定平台提供了独特的视角。