使用差异进化算法检测Mycobacterium结核病的表面等离子体共振生物传感器的优化设计

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Updated: Jul 7, 2026

Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray

Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray

Published on: April 25, 2014

Mithun Bepare¹, Kowshik Kumar Roy¹, Simanta Das¹

¹Electrical & Electronic Engineering, Ahsanullah University of Science and Technology, Tejgaon, Dhaka, 1208, Bangladesh.

Mikrochimica acta

|November 4, 2025

概括

这项研究引入了一种新的多层表面等离子体共振 (SPR) 生物传感器,用于检测Mycobacterium tuberculosis. 使用差异进化算法进行优化,它实现了高灵敏度和广泛的检测范围,用于无标签的分析物识别.

科学领域:

生物感应是一种生物感应.
纳米技术纳米技术
光学物理学光学物理学

背景情况:

在公共卫生方面,检测mycobacterium结核病仍然是一个关键的挑战.
表面等离子体共振 (SPR) 生物传感器提供无标签的检测能力.
优化多层结构是提高SPR生物传感器性能的关键.

研究的目的:

开发和优化一种新的多层SPR生物传感器,用于敏感的Mycobacterium结核病检测.
调查材料组成和结构参数对传感器性能的影响.
为了实现高质量的系数和广泛的折射率检测范围,用于多功能分析物识别.

主要方法:

一个多层结构的制造,包括CaF2镜,TiO2/Ag/TiO2和黑 (BP).
使用转移矩阵方法 (TMM) 进行光学属性分析,并通过有限元素方法 (FEM) 模拟进行验证.
使用差异演变 (DE) 算法优化结构尺寸.

主要成果:

拟议的SPR生物传感器的最大角度灵敏度为638°/RIU,在DE优化后提高到654°/RIU.
实现了 176.9 RIU-1 的高质量系数,最低 FWHM 为 3.55°,峰值 SNR 为 1.19.
传感器具有广泛的折射率检测范围 (1.25-1.35),可以精确,无标签检测各种分析物.

结论:

开发的多层SPR生物传感器,通过DE算法进行优化,提供卓越的灵敏度和广泛的检测范围.
这种设计为准确,无标签识别Mycobacterium tuberculosis和其他分析物提供了一个有前途的平台.
集成先进的材料和优化算法为下一代生物传感技术铺平了道路.

关键词:

生物传感器是一种生物传感器.微分进化 (DE) 算法微分进化 (DE) 算法有限元素方法 (FEM)表面等离子体共振 (SPR) 是一种转移矩阵方法 (TMM)结核病 (TB) 是一种疾病.

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