Development of a novel LED color-switching type biosensor system for the visualization of fish stress response

Development of a novel LED color-switching type biosensor system for the visualization of fish stress response
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开发一种新型 LED 颜色切换型生物传感器系统,用于鱼类应激反应的可视化

DOI:
10.1039/c9ay01752f
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发表时间:
2019
期刊:
Anal. Methods
影响因子:
--
通讯作者:
H. Endo
H. Endo
中科院分区:
--
文献类型:
--
作者:
H. Wu;R. Shinoda;M. Murata;H. Matsumoto;H. Ohnuki;H. Endo

文献摘要

相似文献

目前已经开发了一些生物传感器系统,用于监测鱼类的应激反应,通过实时测量血糖浓度(应激指标),即使当鱼自由游动时。然而,很难对鱼类的应激水平做出即时判断。本研究旨在开发一种新的可视化系统,通过对鱼类应激反应的3个不同水平的视觉观察,可以做出自然的判断。这种判断是通过多色LED的颜色变化来实现的,以帮助人们更好地了解鱼类的应激反应。传感器系统的原理是基于将葡萄糖生物传感器获得的与应激响应对应的传感器输出值转换为电压值,并相应地改变LED的颜色(红色、黄色、绿色)。首先,从测试鱼中采样传感器插入点附近的组织液,并通过添加标准葡萄糖溶液将其调节至用于定义黄色和红色LED的浓度。当采集样本中的葡萄糖水平变为预设阈值时,成功将颜色切换为绿色、黄色和红色。此外,我们试图将所提出的传感器插入到鱼的实际样品中,并在体内实时监测LED的颜色变化,同时向鱼提供应激源。当将该系统应用于体内真实的测试鱼时,成功地观察到对应于传感器响应的颜色变化。因此,鱼类的应激反应,可以直观地掌握通过使用我们提出的系统。
Some biosensor systems have been developed these days for monitoring fish stress responses, through measuring blood glucose concentration (stress indicator) in real-time, even when the fish is swimming freely. However, it is hard to make an instant judgment of fish stress level. In this study, we aimed to develop a new visualization system that can make a natural judgment by visual observation on 3 different levels for fish stress responses. This judgment was achieved through the color change of a multi-color LED to help people make a better understanding of fish stress response. The principle of the sensor system is based on converting a sensor output value obtained by a glucose biosensor corresponding to the stress response into a voltage value and accordingly changing the color of the LED (red, yellow, green). First, interstitial fluid near the sensor insertion point was sampled from the test fish and adjusted to concentrations used to define the yellow and red LED by adding a standard glucose solution. When the glucose level in the collected sample changed to the pre-setted threshold, it was successful in switching the color to green, yellow, and red. Furthermore, we attempted to insert the proposed sensor into an actual sample of fish and monitor the color change of the LED in real-time in vivo while providing stressor to the fish. When applying this system to the real test fish in vivo, a color change corresponding to the sensor response was observed successfully. Therefore, fish stress responses can be visually grasped by using our proposed system.