The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A personalized food allergen testing platform on a cellphone
Open accessAbstract
We demonstrate a personalized food allergen testing platform, termed iTube, running on a cellphone that images and automatically analyses colorimetric assays performed in test tubes toward sensitive and specific detection of allergens in food samples. This cost-effective and compact iTube attachment, weighing approximately 40 grams, is mechanically installed on the existing camera unit of a cellphone, where the test and control tubes are inserted from the side and are vertically illuminated by two separate light-emitting-diodes. The illumination light is absorbed by the allergen assay, which is activated within the tubes, causing an intensity change in the acquired images by the cellphone camera. These transmission images of the sample and control tubes are digitally processed within 1 s using a smart application running on the same cellphone for detection and quantification of allergen contamination in food products. We evaluated the performance of this cellphone-based iTube platform using different types of commercially available cookies, where the existence of peanuts was accurately quantified after a sample preparation and incubation time of ~20 min per test. This automated and cost-effective personalized food allergen testing tool running on cellphones can also permit uploading of test results to secure servers to create personal and/or public spatio-temporal allergen maps, which can be useful for public health in various settings.
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Sicherer, S. H., & Sampson, H. A. (2006) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2005.05.048 · Cited by 647
Cited by
González-Henríquez, C. M., Sarabia-Vallejos, M. A., & Rodriguez-Hernandez, J. (2019) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2019.03.001 · Cited by 562
Smartphone-based biosensors: A critical review and perspectives
Roda, A., Michelini, E., Zangheri, M., Di Fusco, M., Calabria, D., & Simoni, P. (2016) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2015.10.019 · Cited by 520
Point-of-Care Diagnostics: Recent Developments in a Connected Age
Nayak, S., Blumenfeld, N. R., Laksanasopin, T., & Sia, S. K. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b04630 · Cited by 508
Detection and Spatial Mapping of Mercury Contamination in Water Samples Using a Smart-Phone
Wei, Q., Nagi, R., Sadeghi, K., Feng, S., Yan, E., Ki, S. J., Caire, R., Tseng, D., & Ozcan, A. (2014) · ACS Nano · doi:10.1021/nn406571t · Cited by 400
Self-citationRecent advances in high-sensitivity detection methods for paper-based lateral-flow assay
Nguyen, V.-T., Song, S., Park, S., & Joo, C. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112015 · Cited by 373
Metadata
- Authors
- Coskun, A. F., Wong, J., Khodadadi, D., Nagi, R., Tey, A., & Ozcan, A.
- Venue
- Lab Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 13
- Issue
- 4
- Pages
- 636-640
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2034951977
- Cited by
- 280
- References
- 1
- FWCI
- 13.95
- Type
- journal article
- Language
- en
- Open access
- green
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- Coskun, A. F., Wong, J., Khodadadi, D., Nagi, R., Tey, A., & Ozcan, A. (2013). A personalized food allergen testing platform on a cellphone. Lab Chip. https://doi.org/10.1039/c2lc41152k
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