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用于快速检测霉菌毒素的碳基纳米复合智能传感器

Carbon-Based Nanocomposite Smart Sensors for the Rapid Detection of Mycotoxins.

作者信息

Ma Xiaoli, Li Xinbo, Zhang Wenrui, Meng Fanxing, Wang Xin, Qin Yanan, Zhang Minwei

机构信息

Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi 830046, China.

Synthetic Biology Laboratory, School of Future Technology, Xinjiang University, Urumqi 830046, China.

出版信息

Nanomaterials (Basel). 2021 Oct 26;11(11):2851. doi: 10.3390/nano11112851.

Abstract

Carbon-based nanomaterials have become the subject of intensive interest because their intriguing physical and chemical properties are different from those of their bulk counterparts, leading to novel applications in smart sensors. Mycotoxins are secondary metabolites with different structures and toxic effects produced by fungi. Mycotoxins have low molecular weights and highly diverse molecular structures, which can induce a spectrum of biological effects in humans and animals even at low concentrations. A tremendous amount of biosensor platforms based on various carbon nanocomposites have been developed for the determination of mycotoxins. Therefore, the contents of this review are based on a balanced combination of our own studies and selected research studies performed by academic groups worldwide. We first address the vital preparation methods of biorecognition unit (antibodies, aptamers, molecularly imprinted polymers)-functionalized carbon-based nanomaterials for sensing mycotoxins. Then, we summarize various types of smart sensors for the detection of mycotoxins. We expect future research on smart sensors to show a significant impact on the detection of mycotoxins in food products.

摘要

碳基纳米材料因其引人入胜的物理和化学性质不同于其块状对应物,从而在智能传感器中有着新颖的应用,已成为人们密切关注的对象。霉菌毒素是真菌产生的具有不同结构和毒性作用的次生代谢产物。霉菌毒素分子量低,分子结构高度多样,即使在低浓度下也能在人和动物体内诱发一系列生物效应。基于各种碳纳米复合材料的大量生物传感器平台已被开发用于霉菌毒素的测定。因此,本综述的内容基于我们自己的研究与全球学术团队所进行的选定研究的平衡结合。我们首先阐述用于传感霉菌毒素的生物识别单元(抗体、适体、分子印迹聚合物)功能化碳基纳米材料的重要制备方法。然后,我们总结用于检测霉菌毒素的各类智能传感器。我们期望未来关于智能传感器的研究能对食品中霉菌毒素的检测产生重大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2ab/8621137/de0a17fb1792/nanomaterials-11-02851-g004.jpg

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