基于二维材料的表面等离子体共振生物传感器灵敏度增强的差分进化算法改进及其在水中细菌检测中的应用。

Improved Differential Evolution Algorithm for Sensitivity Enhancement of Surface Plasmon Resonance Biosensor Based on Two-Dimensional Material for Detection of Waterborne Bacteria.

机构信息

College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.

School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), Wuhan 430074, China.

出版信息

Biosensors (Basel). 2023 May 31;13(6):600. doi: 10.3390/bios13060600.

DOI:10.3390/bios13060600

PMID:37366965

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10296569/

Abstract

Due to the large number of waterborne bacteria presenting in drinking water, their rapid and accurate identification has become a global priority. The surface plasmon resonance (SPR) biosensor with prism (BK7)-silver(Ag)-MXene(TiTCx)-graphene- affinity-sensing medium is examined in this paper, in which the sensing medium includes pure water, vibrio cholera (), and escherichia coli (). For the Ag-affinity-sensing medium, the maximum sensitivity is obtained by , followed by , and the minimum is pure water. Based on the fixed-parameter scanning (FPS) method, the highest sensitivity is 246.2 °/RIU by the MXene and graphene with monolayer, and with sensing medium. Therefore, the algorithm of improved differential evolution (IDE) is obtained. By the IDE algorithm, after three iterations, the maximum fitness value (sensitivity) of the SPR biosensor achieves 246.6 °/RIU by using the structure of Ag (61 nm)-MXene (monolayer)-graphene (monolayer)-affinity (4 nm)-. Compared with the FPS and differential evolution (DE) algorithm, the highest sensitivity is more accurate and efficient, and with fewer iterations. The performance optimization of multilayer SPR biosensors provides an efficient platform.

摘要

由于饮用水中存在大量的水生细菌，因此快速准确地识别它们已成为全球的首要任务。本文研究了基于棱镜（BK7）-银（Ag）-MXene（TiTCx）-石墨烯-亲和感测介质的表面等离子体共振（SPR）生物传感器，其中感测介质包括纯水、霍乱弧菌（）和大肠杆菌（）。对于 Ag 亲和感测介质，通过获得最大灵敏度，其次是，最小的是纯水。基于固定参数扫描（FPS）方法，MXene 和石墨烯单层与感测介质的灵敏度最高为 246.2°/RIU。因此，得到了改进差分进化（IDE）算法。通过 IDE 算法，经过三次迭代，使用 Ag（61nm）-MXene（单层）-石墨烯（单层）-亲和（4nm）-结构的 SPR 生物传感器的最大适应度值（灵敏度）达到 246.6°/RIU。与 FPS 和差分进化（DE）算法相比，该算法的灵敏度更高、更准确、更高效，且迭代次数更少。多层 SPR 生物传感器的性能优化为其提供了一个高效的平台。