National Institute for Research and Development in Biological Sciences, 296 Splaiul Independentei, 060031 Bucharest, Romania.
Institute of Biology, 296 Splaiul Independentei, 060031 Bucharest, Romania.
Sensors (Basel). 2021 Apr 26;21(9):3038. doi: 10.3390/s21093038.
Enzymatic biosensors enjoy commercial success and are the subject of continued research efforts to widen their range of practical application. For these biosensors to reach their full potential, their selectivity challenges need to be addressed by comprehensive, solid approaches. This review discusses the status of enzymatic biosensors in achieving accurate and selective measurements via direct biocatalytic and inhibition-based detection, with a focus on electrochemical enzyme biosensors. Examples of practical solutions for tackling the activity and selectivity problems and preventing interferences from co-existing electroactive compounds in the samples are provided such as the use of permselective membranes, sentinel sensors and coupled multi-enzyme systems. The effect of activators, inhibitors or enzymatic substrates are also addressed by coupled enzymatic reactions and multi-sensor arrays combined with data interpretation via chemometrics. In addition to these more traditional approaches, the review discusses some ingenious recent approaches, detailing also on possible solutions involving the use of nanomaterials to ensuring the biosensors' selectivity. Overall, the examples presented illustrate the various tools available when developing enzyme biosensors for new applications and stress the necessity to more comprehensively investigate their selectivity and validate the biosensors versus standard analytical methods.
酶生物传感器取得了商业上的成功,并且是持续研究努力的主题,旨在拓宽其实际应用范围。为了使这些生物传感器充分发挥其潜力,需要通过全面、可靠的方法来解决其选择性挑战。本综述讨论了通过直接生物催化和基于抑制的检测来实现准确和选择性测量的酶生物传感器的现状,重点是电化学酶生物传感器。提供了一些实际解决方案的示例,用于解决活性和选择性问题,并防止样品中共存的电化学活性化合物的干扰,例如使用选择透过性膜、监测传感器和偶联多酶系统。通过偶联酶反应和多传感器阵列以及通过化学计量学进行数据解释,也可以解决激活剂、抑制剂或酶底物的影响。除了这些更传统的方法外,本综述还讨论了一些巧妙的最新方法,并详细介绍了可能涉及使用纳米材料来确保生物传感器选择性的解决方案。总的来说,所呈现的示例说明了开发用于新应用的酶生物传感器时可用的各种工具,并强调了有必要更全面地研究其选择性,并将生物传感器与标准分析方法进行验证。