Smartphone Detection of &lt;italic&gt;Escherichia coli&lt;/italic&gt; From Field Water Samples on Paper Microfluidics

Park, Tu San; Yoon, Jeong Yeol

doi:10.1109/jsen.2014.2367039

Cited by 92 publications

(72 citation statements)

References 22 publications

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“…On the other hand, innovations in biosensors can also lower the demand for the optical attachments. In recent years, smartphone-based optical sensor systems were preferred to develop with micro-fabricated paper sensors utilizing color changes under ambient illumination Bueno et al, 2015;Park and Yoon, 2015). Compared to microscopic and fluorescent detections, the colorimetric sensors have no requirement for special attachments to provide excitation light sources and collimating beam paths, which can be helpful for miniaturization of the attachments.…”

Section: Future Perspectivesmentioning

confidence: 99%

Biosensors and bioelectronics on smartphone for portable biochemical detection

Zhang

Liu

2016

Biosensors and Bioelectronics

562

216

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Section: Future Perspectivesmentioning

confidence: 99%

Biosensors and bioelectronics on smartphone for portable biochemical detection

Zhang

Liu

2016

Biosensors and Bioelectronics

562

216

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“…Mie scatter simulation was conducted to estimate the increase in scatter intensity of the immunoagglutinated PS particles from the non-agglutinated, under UV light, in comparison with those under ambient light, i.e., previous work, 5,13,16 where the green pixel intensities were proven to be the most sensitive. Simulation was conducted using the following parameters: (1) light source = 530 nm (green detection under ambient light) vs. 385 nm (UV LED); both unpolarized, (2) particle diameter = 920 nm for the non-agglutinated PS particles vs. 1840 nm for the immunoagglutinated particles, (3) particle size distribution = normal distribution with 5% standard deviation, (4) refractive indices = 1.60 for PS (polystyrene) and 1.33 for water (medium), and (5) scattering angle = 125° (refer to Fig.…”

Section: Mie Scatter Simulationmentioning

confidence: 99%

“…This signal increase is approximately 10 times bigger than the previous work (4-7%), which used ambient light as a light source. 5,13,16 …”

Section: E Coli Assaymentioning

confidence: 99%

Smartphone Detection of UV LED-Enhanced Particle Immunoassay on Paper Microfluidics

et al. 2017

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Use of a smartphone as an optical detector for paper microfluidic devices has recently gained substantial attention due to its simplicity, ease-of-use, and handheld capability. Utilization of a UV light source enhances the optical signal intensities, especially for the particle immunoagglutination assay that has typically utilized visible or ambient light. Such enhancement is essential for true assimilation of assays to field deployable and point-of-care applications by greatly reducing the effects by independent environmental factors. This work is the first demonstration of utilizing a UV LED (UVA) to enhance the Mie scatter signals from the particle immunoagglutination assay on the paper microfluidic devices, and subsequent smartphone detection. Smartphone's CMOS camera can recognize the UVA scatter from the paper microfluidic channels efficiently in its green channel. For Escherichia coli assay, the normalized signal intensities increased up to 50% from the negative signal with UV LED, compared to the 4-7% with ambient light. Detection limit was 10 CFU/mL. Similar results were obtained in the presence of 10% human whole blood.

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“…Park et al detected Salmonella using Mie scattering from immune-agglutinated submicron particles on multichannel paper microfluidics [76,77]. Further, Kadlec et al used a cellphone based system, an iPhoto-meter, to evaluate antimicrobial resistance of by quantifying the growth of E. coli in urinary tract infection [78] (Figure 11).…”

Section: Cytometric Analysismentioning

confidence: 99%