Norovirus detection in water samples at the level of single virus copies per microliter using a smartphone-based fluorescence microscope

Soo Chung, Lane E. Breshears, Alana Gonzales, Christian M. Jennings, Christina M. Morrison, Walter Q. Betancourt, Kelly A. Reynolds, Jeong-Yeol Yoon

Published: 2021-01-28 DOI: 10.1038/s41596-020-00460-7

Norovirus detection

Smartphone-based fluorescence microscope

Paper microfluidic chip

detection

Pathogen detection

AI 解读

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Norovirus is a widespread public health threat and has a very low infectious dose. This protocol presents the extremely sensitive detection of norovirus from water samples using a custom-built smartphone-based fluorescence microscope and a paper mi
Introduction
Materials
Procedure
Troubleshooting
- Troubleshooting the variations in ambient lighting
- Troubleshooting self-aggregation of particles
Timing
Anticipated results
References
ACKNOWLEDGMENTS
ACKNOWLEDGMENTS

Teunis, P. F. M. et al. Norwalk virus: how infectious is it? J. Med. Virol. 80, 1468–1476 (2008).
Greening, G. E. & Cannon, J. L. Human and animal viruses in food (including taxonomy of enteric viruses). in Viruses in Foods (eds Goyal, S.M. & Cannon, J.L.) 5-57 (Springer, 2016). http://doi.org/10.1007/978-3-319-30723-7_2
Chung, S. et al. Smartphone-based paper microfluidic particulometry of norovirus from environmental water samples at single copy level. ACS Omega 4, 11180–11188 (2019).
Park, T. S. & Yoon, J.-Y. Smartphone detection of Escherichia coli from field water samples on paper microfluidics. IEEE Sens. J. 15, 1902–1907 (2015).
Park, T. S., Li, W., McCracken, K. E. & Yoon, J.-Y. Smartphone quantifies Salmonella from paper microfluidics. Lab Chip 13, 4832–4840 (2013).
Klug, K. E., Reynolds, K. A. & Yoon, J.-Y. A capillary flow dynamics-based sensing modality for direct environmental pathogen monitoring. Chem. Eur. J. 24, 6025–6029 (2018).
Ulep, T.-H. et al. Smartphone based on-chip fluorescence imaging and capillary flow velocity measurement for detecting ROR1+ cancer cells from buffy coat blood samples on dual-layer paper microfluidic chip. Biosens. Bioelectron. 153, 112042 (2020).
Kwon, H.-J., Dean, Z. S., Angus, S. V. & Yoon, J.-Y. Lab-on-a-chip for field Escherichia coli assays: long-term stability of reagents and automatic sampling system. JALA 15, 216–223 (2010).
Yoon, J.-Y. Introduction to Biosensors: From Electric Circuits to Immunosensors 2nd edn, 153–170 (Springer, 2016). http://doi.org/10.1007/978-3-319-27413-3
Ulep, T.-H. & Yoon, J.-Y. Challenges in paper-based fluorogenic optical sensing with smartphones. Nano Converg. 5, 14 (2018).
Ettayebi, K. et al. Replication of human noroviruses in stem cell–derived human enteroids. Science 353, 1387–1393 (2016).
Coudray-Meunier, C. et al. A comparative study of digital RT-PCR and RT-qPCR for quantification of Hepatitis A virus and Norovirus in lettuce and water samples. Int. J. Food Microbiol. 201, 17–26 (2015).
Rivadulla, E. & Romalde, J. L. A comprehensive review on human Aichi virus. Virol. Sin. http://doi.org/10.1007/s12250-020-00222-5 (2020).
de Bruin, E., Duizer, E., Vennema, H. & Koopmans, M. P. Diagnosis of Norovirus outbreaks by commercial ELISA or RT-PCR. J. Virol. Meth. 137, 259–264 (2006).
Park, J. P., Cropek, D. M. & Banta, S. High affinity peptides for the recognition of the heart disease biomarker troponin I identified using phage display. Biotechnol. Bioeng 105, 678–686 (2010).
Burton-Macleod, J. A. et al. Evaluation and comparison of two commercial enzyme-linked immunosorbent assay kits for detection of antigenically diverse human noroviruses in stool samples. J. Clin. Microbiol. 42, 2587–2595 (2004).
Dimitriadis, A., Bruggink, L. D. & Marshall, J. A. Evaluation of the Dako IDEIA norovirus EIA assay for detection of norovirus using faecal specimens from Australian gastroenteritis outbreaks. Pathology 38, 157–165 (2006).
Richards, A. F. et al. Evaluation of a commercial ELISA for detection Norwalk-like virus antigen in faeces. J. Clin. Virol. 26, 109–115 (2003).
Okitsu-Negishi, S. et al. Detection of Norovirus antigens from recombinant virus-like particles and stool samples by a commercial Norovirus enzyme-linked immunosorbent assay kit. J. Clin. Microbiol. 44, 3784–3786 (2006).
Mansfield, M. A. in Lateral Flow Assays (eds Wong, R. & Tse, H.) 1–19 (Humana Press, 2009).
Li, H., Han, D., Hegener, M. A., Pauletti, G. M. & Steckl, A. J. Flow reproducibility of whole blood and other bodily fluids in simplified no reaction lateral flow assay devices. Biomicrofluidics 11, 024116 (2017).
Cho, S., Park, T. S., Nahapetian, T. & Yoon, J.-Y. Smartphone-based, sensitive μPAD detection of urinary tract infection and gonorrhea. Biosens. Bioelectron. 74, 601–611 (2015).
Yoon, J.-Y., Park, H.-Y., Kim, J.-H. & Kim, W.-S. Adsorption of BSA on highly carboxylated microspheres—quantitative effects of surface functional groups and interaction forces. J. Colloid Interface Sci. 177, 613–620 (1996).
Cho, S., Park, T. S., Reynolds, K. A. & Yoon, J.-Y. Multi-normalization and interpolation protocol to improve norovirus immunoagglutination assay from paper microfluidics and smartphone detection. SLAS Technol. 23, 30–43 (2018).
Eyupoglu, C. Implementation of Bernsen’s locally adaptive binarization method for gray scale images. Online J. Sci. Technol. 7, 68–72 (2017).

Norovirus detection in water samples at the level of single virus copies per microliter using a smartphone-based fluorescence microscope

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