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Updated: May 5, 2026

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与IRFE-MLR框架相结合的共振匹配的太赫兹元材料,可提高特异性检测微量pefloxacin

Lintong Zhang¹, Jingsen Yang¹, Jiachen Zhang²

¹Center for Artificial Intelligence in Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.

Analytica chimica acta

|September 22, 2025

概括

这项研究引入了一种新型的特拉赫兹元材料传感器 (TMS) 用于检测pefloxacin (PEF) 残留物. 新方法为环境和食品安全应用提供了高灵敏度和特异性.

科学领域:

特拉赫兹 (THz) 光谱和元材料传感.
生物化学传感和痕迹分析
检测抗生素残留的检测方法

背景情况:

佩弗洛素 (PEF) 是一种具有毒性和抗生素耐药性的广谱抗菌药物.
现有的PEF检测方法是劳动密集型的,缺乏灵敏度.
太赫兹元材料传感器 (TMS) 可以增强分析信号,但具有特异性限制.

研究的目的:

开发一种高度敏感和特定的特拉赫兹超材料传感器 (TMS) 用于黄素 (PEF) 检测.
提高PEF残留物微量化量化的准确性.
为生物化学危险提供可扩展的特异性增强的TMS设计.

主要方法:

设计了一个旋转对称的TMS,针对PEF的太赫兹 (THz) 指纹峰值.
采用了改进的递归特征消除-多变量线性回归 (IRFE-MLR) 算法来增强检测.
使用共振匹配,检测极限和恢复率评估TMS性能.

主要成果:

设计的TMS显示高共振匹配 (98.5%和94.7%) 与PEF指纹峰值.
与单变量模型 (R2=0.82) 相比,IRFE-MLR模型显著提高了检测性能 (R2=0.95).
实现了PEF的低检测极限5 ng/L,恢复率高 (115.13%).

结论:

开发了一种高灵敏度,可靠的PEF残留感应策略,无需复杂的表面修改.
拟议的方法为特异性增强的TMS提供了一个可扩展的设计范式.
这种方法对环境污染控制和食品安全保证有重大影响.

关键词:

佩弗洛克萨辛的使用方法响应匹配度的共振匹配度.增强特异性的增强特异性特拉赫兹元材料传感器传感器痕迹检测检测仪痕迹检测仪

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