Research on highly sensitive detection of clenbuterol hydrochloride based on THz metamaterial enhancement

IF 2.9 3区农林科学 Q2 FOOD SCIENCE & TECHNOLOGY

Journal of Food Measurement and Characterization Pub Date : 2023-06-08 DOI:10.1007/s11694-023-01954-0

Jun Hu, Chaohui Zhan, Zhen Xu, Hongyang Shi, Hao Wang, Yong He, Aiguo Ouyang

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引用次数: 0

Abstract

The abuse of clenbuterol hydrochloride (CL) is a serious threat to people’s life and health. The traditional THz detection method can only detect the sample at the milligram level, which is not suitable for trace analysis of the sample. In this paper, a THz metamaterial enhanced micro-nano structure was designed based on the electromagnetic theory to realize the highly sensitive detection of the trace CL by THz spectroscopy. Firstly, four pretreatment methods were used to correct the spectrum, including AirPLS, AsLS, Backcor and BEADS. Secondly, four algorithms, namely, PCA, CARS, UVE, and SPA were used to extract features from the spectra. Finally, the PLS and LS-SVM models are established. The AirPLS-CARS-LS-SVM model has the best result, with the R_p of 0.9743, the RMSEP of 2.90 × 10^–5, and the LOD of 9.67 × 10^–5 mg/mL. This study will facilitate the rapid, nondestructive and highly sensitive detection of the trace CL in food. Besides, this study has significant implications for promoting the detection of other types of clenbuterol and trace substances.

Graphical abstract

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基于太赫兹超材料增强的盐酸克仑特罗高灵敏度检测研究

盐酸克仑特罗的滥用严重威胁着人们的生命和健康。传统的太赫兹检测方法只能检测到毫克级的样品，不适合对样品进行痕量分析。本文基于电磁理论设计了一种太赫兹超材料增强微纳结构，实现了太赫兹光谱对痕量氯离子的高灵敏度检测。首先，采用AirPLS、AsLS、Backcor和BEADS四种预处理方法对光谱进行校正。其次，采用PCA、CARS、UVE和SPA四种算法从光谱中提取特征;最后，建立PLS和LS-SVM模型。其中，AirPLS-CARS-LS-SVM模型效果最佳，Rp为0.9743,RMSEP为2.90 × 10-5, LOD为9.67 × 10-5 mg/mL。本研究为食品中痕量氯离子的快速、无损、高灵敏度检测提供了依据。此外，本研究对促进其他类型盐酸克仑特罗及微量物质的检测也具有重要意义。图形抽象

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来源期刊

Journal of Food Measurement and Characterization Agricultural and Biological Sciences-Food Science

CiteScore

6.00

自引率

11.80%

发文量

425

期刊介绍： This interdisciplinary journal publishes new measurement results, characteristic properties, differentiating patterns, measurement methods and procedures for such purposes as food process innovation, product development, quality control, and safety assurance. The journal encompasses all topics related to food property measurement and characterization, including all types of measured properties of food and food materials, features and patterns, measurement principles and techniques, development and evaluation of technologies, novel uses and applications, and industrial implementation of systems and procedures.