Sun Ganchao, Wei Xiaobo, Zhang Dianping, Huang Liben, Liu Huiyan, Fang Haitian
School of Food Science and Engineering, Ningxia University, Yinchuan 750021, China.
School of Mechanical Engineering, Ningxia University, Yinchuan 750021, China.
Biosensors (Basel). 2023 Sep 17;13(9):886. doi: 10.3390/bios13090886.
Electrochemical biosensors based on immobilized enzymes are among the most popular and commercially successful biosensors. The literature in this field suggests that modification of electrodes with nanomaterials is an excellent method for enzyme immobilization, which can greatly improve the stability and sensitivity of the sensor. However, the poor stability, weak reproducibility, and limited lifetime of the enzyme itself still limit the requirements for the development of enzyme electrochemical biosensors for food production process monitoring. Therefore, constructing sensing technologies based on enzyme electrochemical biosensors remains a great challenge. This article outlines the construction principles of four generations of enzyme electrochemical biosensors and discusses the applications of single-enzyme systems, multi-enzyme systems, and nano-enzyme systems developed based on these principles. The article further describes methods to improve enzyme immobilization by combining different types of nanomaterials such as metals and their oxides, graphene-related materials, metal-organic frameworks, carbon nanotubes, and conducting polymers. In addition, the article highlights the challenges and future trends of enzyme electrochemical biosensors, providing theoretical support and future perspectives for further research and development of high-performance enzyme chemical biosensors.
基于固定化酶的电化学生物传感器是最受欢迎且商业上最成功的生物传感器之一。该领域的文献表明,用纳米材料修饰电极是一种出色的酶固定化方法,它能极大地提高传感器的稳定性和灵敏度。然而,酶本身稳定性差、重现性弱以及寿命有限,这仍然限制了用于食品生产过程监测的酶电化学生物传感器的发展需求。因此,构建基于酶电化学生物传感器的传感技术仍然是一项巨大挑战。本文概述了四代酶电化学生物传感器的构建原理,并讨论了基于这些原理开发的单酶系统、多酶系统和纳米酶系统的应用。文章还进一步描述了通过结合不同类型的纳米材料(如金属及其氧化物、石墨烯相关材料、金属有机框架、碳纳米管和导电聚合物)来改善酶固定化的方法。此外,文章突出了酶电化学生物传感器面临的挑战和未来趋势,为高性能酶化学生物传感器的进一步研发提供理论支持和未来展望。