Institute of Applied Micro-Nano Science and Technology (IAMNST), Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, Chongqing Engineering Laboratory for Detection, Control and Integrated System, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Nan'an District, Chongqing 400067, China.
Department of Microsystems (IMS), Faculty of Technology, Natural Sciences and Maritime Sciences, University of South-Eastern Norway, Postboks 235, 3603 Kongsberg, Norway.
Sensors (Basel). 2018 Jul 10;18(7):2210. doi: 10.3390/s18072210.
Growing access to tap water and consequent expansion of water distribution systems has created numerous challenges to maintaining water quality between the treatment node and final consumer. Despite all efforts to develop sustainable monitoring systems, there is still a lack of low cost, continuous and real time devices that demonstrate potential for large-scale implementation in wide water distribution networks. The following work presents a study of a low-cost, optofluidic sensor, based on Trypthopan Intrinsic Fluorescence. The fluorospectrometry analysis performed (before sensor development) supports the existence of a measurable fluorescence output signal originating from the tryptophan contained within pathogenic bacteria. The sensor was mounted using a rapid prototyping technique (3D printing), and the integrated optical system was achieved with low-cost optical components. The sensor performance was evaluated with spiked laboratory samples containing and , in both continuous and non-continuous flow situations. Results have shown a linear relationship between the signal measured and pathogen concentration, with limits of detection at 1.4 × 10³ CFU/mL. The time delay between contamination and detection of the bacteria was practically null. Therefore, this study supports the potential application of tryptophan for monitoring drinking water against water pathogens.
随着自来水供应的普及和供水管网系统的不断扩展,在处理节点和最终用户之间保持水质稳定带来了诸多挑战。尽管人们努力开发可持续的监测系统,但仍缺乏低成本、连续和实时的设备,这些设备在广泛的供水管网中具有大规模实施的潜力。
以下工作研究了一种基于色氨酸本征荧光的低成本光电传感器。在传感器开发之前进行的荧光光谱分析支持存在可测量的荧光输出信号,该信号源于致病细菌中的色氨酸。传感器采用快速原型制作技术(3D 打印)进行安装,并且使用低成本的光学组件实现了集成光学系统。使用含有 和 的实验室加标样本对传感器性能进行了评估,包括连续和非连续流动两种情况。结果表明,测量信号与病原体浓度之间存在线性关系,检出限为 1.4×10³ CFU/mL。从污染到检测到细菌的时间延迟实际上为零。因此,这项研究支持将色氨酸用于监测饮用水中的水病原体。