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Graphene-based biosensors for on-site detection of contaminants in food

机译:基于石墨烯的生物传感器,用于现场检测食品中的污染物

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Carbon nanostructures like graphene and carbon nanotubes are promising components for biosensor transducers because of the high sensitivity of their properties to changes in the environment. One of the most auspicious applications where carbon nanostructures demonstrate an active growth of research interest is food analysis. The unique physical and chemical properties of graphene, as well as carbon nanotubes, warrant their multimodal application potential. The high specific surface area and catalytic activity are utilized for the extraction of analytes from food samples. In addition to their high absorption ability, their high conductivity contributes to the performance efficacy of the electrodes. The main application of carbon nanostructures is expected in constitution of transducing elements of biosensors due to their inherent high modulation capabilities of physico-chemical properties upon exposure to different analytes, and their stability under harsh chemical conditions. They have been utilized as transducers in biosensing platforms such as electrochemical, optical, chemoresistive and field effect transistor-based biosensors for detection of various analytes in food. In this review, we discuss the current state-of-the-art of graphene and carbon nanotube applications in the sensors for food analysis. We summarize the recent progress in using carbon nanostructures for detection of chemical contaminants in food, and the principles of operation, and discuss the perspectives of developing portable devices for rapid in-field analysis.
机译:碳纳米结构(如石墨烯和碳纳米管)是生物传感器换能器的有希望的组件,因为它们的特性对环境变化具有很高的敏感性。食品分析是碳纳米结构显示出活跃的研究兴趣的最吉祥的应用之一。石墨烯以及碳纳米管的独特物理和化学性质保证了其多峰应用潜力。高比表面积和催化活性可用于从食品样品中提取分析物。除了其高吸收能力外,它们的高导电性还有助于电极的性能。预期碳纳米结构的主要应用是生物传感器的传感元件的构造,因为它们固有的高物理化学性质(在暴露于不同分析物时)的调制能力,以及它们在苛刻的化学条件下的稳定性。它们已被用作生物传感平台中的传感器,例如电化学,光学,化学电阻和基于场效应晶体管的生物传感器,用于检测食品中的各种分析物。在这篇评论中,我们讨论了石墨烯和碳纳米管在食品分析传感器中的最新应用。我们总结了使用碳纳米结构检测食品中化学污染物的最新进展以及操作原理,并讨论了开发便携式设备进行快速现场分析的观点。

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