化学
太赫兹辐射
多模光纤
光电子学
共振(粒子物理)
分析物
超材料
探测器
灵敏度(控制系统)
电磁场
多路复用
光子学
毒品检测
导模共振
检出限
吸收(声学)
光学
电磁辐射
分裂环谐振器
超材料吸收剂
作者
Jinjing Zhang,Jihong Zhu,Bingwei Liu,Wencan Liu,Jiawei Li,Sungjoon Lim,Geunchang Choi,Xu Wu,Yiming Zhu,Yan Peng
标识
DOI:10.1021/acs.analchem.5c04376
摘要
Therapeutic drug monitoring (TDM) requires analytical technologies with high sensitivity, accuracy, and efficiency. Terahertz (THz) metamaterials offer strong THz electromagnetic field-analyte interactions and enable label-free detection with minimal sample consumption. However, most conventional designs rely on a single mode resonance (either single peak or multiple peaks), which limits modal diversity and thus causes in peak instability, sensitivity fluctuations, and a lack of real-time error validation. In this work, we propose a polarization-induced multimode THz metamaterial sensor that enable highly sensitive and accurate detection for TDM applications. By selectively exciting orthogonal electromagnetic modes under x- and y-polarized THz waves, the sensor generates multiple decoupled resonances with complementary field localization and well-separated spectral peaks. Each resonance mode couples to a distinct molecular vibration of the analyte, enabling multiplexed molecular identification and quantification. Clopidogrel sulfate, a widely used antithrombotic drug, was selected as a representative analyte validate the sensor performance. The resonance peaks of the polarization-induced multimode sensor were precisely adjusted to match the drug's characteristic absorption bands. An ultralow limit of detection (LOD) of 3.0 pg/μL was achieved, representing a 1000-fold sensitivity improvement over conventional HPLC methods, while maintaining over 95% consistency. When applied to human blood samples, the sensor achieved 93.7% accuracy and a 5 min detection time per sample (postpretreatment), demonstrating its potential for rapid TDM. Overall, the polarization-induced multimode THz metamaterial offers a highly sensitive, accurate, and efficient platform for trace-level drug detection, providing a promising solution for personalized medication management.
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