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Comparison of measurement protocol for biosensors using fiber optic localized surface plasmon resonance sensor
Optical Fiber Technology ( IF 2.7 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.yofte.2020.102324
Hyeong-Min Kim , Se-Woong Bae , Dae Hong Jeong , Ho-Young Lee , Jae-Hyoung Park , Seung-Ki Lee

Abstract In an immunoassay test, which is a representative analytical method for evaluating the performance of a biosensor, the change of the sensor’s output with respect to the continuous change of the measurement target concentration is represented by a graph and defined as the characteristic curve of the sensor. In most studies using biosensors (disposable or not disposable), the characteristic curve of the sensor is obtained by accumulating and successively changing the concentration of the target using a single sensor (consecutive measurement using a single sensor: CS protocol). However, the CS protocol has an inherent error because the accumulated measurement results for a single sensor that continuously varies with the concentration of the target material are considered as the sensor’s output at each concentration level. In this paper, we obtain the characteristic curve of the sensor by measuring the different concentrations of the target using different sensors (separate measurement using the individual sensor: SI protocol). By comparing this characteristic curve with the characteristic curve obtained using the CS protocol, we prove that the widely used method based on CS protocol is inaccurate as a measurement protocol for biosensors.

中文翻译:

使用光纤局域表面等离子体共振传感器的生物传感器测量协议的比较

摘要 在作为评价生物传感器性能的代表性分析方法的免疫测定试验中,传感器输出相对于测量目标浓度的连续变化的变化用图形表示,并定义为传感器的特性曲线。传感器。在大多数使用生物传感器(一次性或非一次性)的研究中,传感器的特性曲线是通过使用单个传感器(使用单个传感器的连续测量:CS 协议)累积并连续改变目标浓度来获得的。然而,CS 协议有一个固有的错误,因为随着目标材料的浓度不断变化的单个传感器的累积测量结果被视为传感器在每个浓度级别的输出。在本文中,我们通过使用不同的传感器测量目标的不同浓度来获得传感器的特性曲线(使用单个传感器单独测量:SI 协议)。通过将此特性曲线与使用 CS 协议获得的特性曲线进行比较,我们证明广泛使用的基于 CS 协议的方法作为生物传感器的测量协议是不准确的。
更新日期:2020-10-01
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