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基于太赫兹超材料增强的黄曲霉毒素溶液定性识别研究

Study on qualitative identification of aflatoxin solution based on terahertz metamaterial enhancement.

作者信息

Hu Jun, Zhan Chaohui, Chen Rui, Liu Yande, Yang Shimin, He Yong, Ouyang Aiguo

机构信息

School of Mechatronics & Vehicle Engineering, East China Jiaotong University Nanchang Jiangxi 330013 PR China

Department of Optoelectronic Information Engineering, Zhejiang University Hangzhou 310027 China.

出版信息

RSC Adv. 2023 Jul 24;13(32):22101-22112. doi: 10.1039/d3ra02246c. eCollection 2023 Jul 19.

Abstract

Aflatoxin is the main carcinogen that contaminates agricultural products and foods such as peanuts and corn. There are many kinds of aflatoxins, mainly including aflatoxin B1 (AFB1), aflatoxin B2 (AFB2), aflatoxin G1 (AFG1) and aflatoxin G2 (AFG2). Different types of aflatoxins have different toxicity and different levels of contamination to agricultural products as well as food. Therefore, the rapid, non-destructive and highly sensitive qualitative identification of aflatoxin species is of great significance to maintain people's life and health. The conventional terahertz detection method can only qualitatively identify the samples at the milligram level, but it is not suitable for the qualitative analysis of trace samples. In this paper, a terahertz metamaterial sensor with "X" composite double-peak structure was designed based on electromagnetic theory to investigate the feasibility of THz-TDS technology based on a metamaterial sensor for the qualitative identification of trace aflatoxin B2, G1 and G2 solutions. Firstly, the terahertz transmission spectra of eight different concentrations of aflatoxin B2, G1 and G2 were collected respectively, and then the differences of terahertz transmission spectra of different aflatoxin species were investigated. Finally, the terahertz transmission spectra of aflatoxin B2, G1 and G2 solutions were modeled and analyzed using chemometric methods. It was found that there were significant differences in the transmission peak curves of different kinds of aflatoxin. Through the comparative analysis of different models, it was concluded that the prediction accuracy of the CARS-RBF-SVM model was the highest, and the accuracy of the calibration set reached 100%. 119 out of 120 predicted samples were correctly predicted, and the prediction accuracy was 99.17%. This study verified the feasibility of qualitative identification of trace aflatoxin B2, G1 and G2 solutions by a metamaterial sensor based on the "X" composite double-peak structure combined with THz-TDS technology, and provided a theoretical basis and a new detection method for the qualitative identification of trace aflatoxins. This will facilitate the rapid, non-destructive and highly sensitive qualitative detection of different kinds of aflatoxins in food and agricultural products. At the same time, this study has important implications for promoting the qualitative detection of other trace substances.

摘要

黄曲霉毒素是污染花生和玉米等农产品及食品的主要致癌物。黄曲霉毒素有多种,主要包括黄曲霉毒素B1(AFB1)、黄曲霉毒素B2(AFB2)、黄曲霉毒素G1(AFG1)和黄曲霉毒素G2(AFG2)。不同类型的黄曲霉毒素具有不同的毒性,对农产品及食品的污染程度也不同。因此,快速、无损且高灵敏度地定性鉴定黄曲霉毒素种类对于保障人们的生命健康具有重要意义。传统的太赫兹检测方法只能对毫克级别的样品进行定性鉴定,不适用于痕量样品的定性分析。本文基于电磁理论设计了一种具有“X”复合双峰结构的太赫兹超材料传感器,以研究基于超材料传感器的太赫兹时域光谱(THz-TDS)技术对痕量黄曲霉毒素B2、G1和G2溶液进行定性鉴定的可行性。首先,分别采集了八种不同浓度的黄曲霉毒素B2、G1和G2的太赫兹透射光谱,然后研究了不同种类黄曲霉毒素太赫兹透射光谱的差异。最后,采用化学计量学方法对黄曲霉毒素B2、G1和G2溶液的太赫兹透射光谱进行建模和分析。结果发现,不同种类黄曲霉毒素的透射峰曲线存在显著差异。通过对不同模型的比较分析得出,CARS-RBF-SVM模型的预测准确率最高,校正集准确率达到100%。120个预测样品中有119个被正确预测,预测准确率为99.17%。本研究验证了基于“X”复合双峰结构的超材料传感器结合THz-TDS技术对痕量黄曲霉毒素B2、G1和G2溶液进行定性鉴定的可行性,为痕量黄曲霉毒素的定性鉴定提供了理论依据和新的检测方法。这将有助于对食品和农产品中不同种类黄曲霉毒素进行快速、无损且高灵敏度的定性检测。同时,本研究对推动其他痕量物质的定性检测具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22d8/10363712/7b026a9c2dbd/d3ra02246c-f1.jpg

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