4.6 Article

Continuous and Real-Time Detection of Drinking-Water Pathogens with a Low-Cost Fluorescent Optofluidic Sensor

期刊

SENSORS
卷 18, 期 7, 页码 -

出版社

MDPI
DOI: 10.3390/s18072210

关键词

pathogen detection; drinking water quality; intrinsic fluorescence; tryptophan; real-time detection; continuous monitoring; on-line optofluidic sensor; low-cost instrumentation; optofluidic

资金

  1. Regional forskningsfond Oslofjordfondet project <Disruptiv Innovasjon for Vannovervaking-Forbedring i Styringen av Vannkvalitet> [272037]
  2. Regional forskningsfond Hovedstaden project <Biologisk Vannalarmsystem for a styrke offentlig vannkvalitetsstyring> [273869]
  3. National Natural Science Foundation of China [61650410655]
  4. Research Council of Norway [276650]
  5. Chongqing Key Laboratory of Micro-Nanosystems Technology and Smart Transducing [KFJJ2017087]
  6. Chongqing Innovation Team of Colleges and Universities -Smart Micro-Nano Systems Technology Applications [CXTDX201601025]
  7. Chongqing Education Commission - Science and Technology Research Program [KJ1600604]
  8. Chongqing Research Program of Basic Research and Frontier Technology [cstc2015jcyjA20023, cstc2016jcyjA2161, cstc2017jcyjA1842]

向作者/读者索取更多资源

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 E. coli and Legionella, 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 x 10(3) 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.

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