{"title":"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","authors":"Jun Hu, Chaohui Zhan, Zhen Xu, Hongyang Shi, Hao Wang, Yong He, Aiguo Ouyang","doi":"10.1007/s11694-023-01954-0","DOIUrl":null,"url":null,"abstract":"<div><p>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 <i>R</i><sub><i>p</i></sub> of 0.9743, the <i>RMSEP</i> of 2.90 × 10<sup>–5</sup>, and the <i>LOD</i> of 9.67 × 10<sup>–5</sup> 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.</p><h3>Graphical abstract</h3>\n <figure><div><div><div><picture><source><img></source></picture></div></div></div></figure>\n </div>","PeriodicalId":631,"journal":{"name":"Journal of Food Measurement and Characterization","volume":"17 5","pages":"4627 - 4637"},"PeriodicalIF":2.9000,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11694-023-01954-0.pdf","citationCount":"0","resultStr":"{\"title\":\"Research on highly sensitive detection of clenbuterol hydrochloride based on THz metamaterial enhancement\",\"authors\":\"Jun Hu, Chaohui Zhan, Zhen Xu, Hongyang Shi, Hao Wang, Yong He, Aiguo Ouyang\",\"doi\":\"10.1007/s11694-023-01954-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 <i>R</i><sub><i>p</i></sub> of 0.9743, the <i>RMSEP</i> of 2.90 × 10<sup>–5</sup>, and the <i>LOD</i> of 9.67 × 10<sup>–5</sup> 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.</p><h3>Graphical abstract</h3>\\n <figure><div><div><div><picture><source><img></source></picture></div></div></div></figure>\\n </div>\",\"PeriodicalId\":631,\"journal\":{\"name\":\"Journal of Food Measurement and Characterization\",\"volume\":\"17 5\",\"pages\":\"4627 - 4637\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s11694-023-01954-0.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Food Measurement and Characterization\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11694-023-01954-0\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Measurement and Characterization","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s11694-023-01954-0","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Research on highly sensitive detection of clenbuterol hydrochloride based on THz metamaterial enhancement
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 Rp 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.
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.
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