A smartphone fluorescence imaging-based mobile biosensing system integrated with a passive fluidic control cartridge for minimal user intervention and high accuracy
| Autor: | Younghyeon Park, Nae-Eung Lee, Heon Lee, Sajal Shrivastava, Byeungwoo Jeon, Hak Jong Choi, Won-Il Lee, Young Min Son, Jaemin Park, Jaelin Lee |
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| Rok vydání: | 2019 |
| Předmět: |
Time Factors
Computer science Population Biomedical Engineering Bioengineering 02 engineering and technology Biosensing Techniques 01 natural sciences Biochemistry Signal Cartridge User-Computer Interface Fluidics education Detection limit education.field_of_study Base Sequence business.industry 010401 analytical chemistry Optical Imaging Water General Chemistry Mercury 021001 nanoscience & nanotechnology 0104 chemical sciences ROC Curve Smartphone User interface 0210 nano-technology business DNA Probes Mobile device Biosensor Plastics Computer hardware Software |
| Zdroj: | Lab on a chip. 19(8) |
| ISSN: | 1473-0189 |
| Popis: | A key challenge for realizing mobile device-based on-the-spot environmental biodetection is that a biosensor integrated with a fluid handling sensor cartridge must have acceptable accuracy comparable to that of conventional standard analytical methods. Furthermore, the user interface must be easy to operate, technologically plausible, and concise. Herein, we introduced an advanced smartphone imaging-based fluorescence microscope designed for Hg2+ monitoring by utilizing a biosensor cartridge that reduced user intervention via time-sequenced passive fluid handling. The cartridge also employed a metal-nanostructured plastic substrate for complementing the fluorescence signal output; this helped the realization of high-accuracy detection, in which a ratiometric dual-wavelength detection method was applied. Using 30 samples of Hg2+-spiked wastewater, we showed that our device, which has a detection limit of ∼1 pM, can perform analytical assays accurately. The detection results from our method were in good linearity and agreement with those of conventional standard methods. We conclude that the integration of a simple-to-use biosensor cartridge, fluorescence signal-enhancing substrate, dual-wavelength detection, and quantitative image data processing on a smartphone has great potential to make any population accessible to small-molecule detection, which has been performed in centralized laboratories for environmental monitoring. |
| Databáze: | OpenAIRE |
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