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Article

Performance Improvement of the One-Dot Lateral Flow Immunoassay for Aflatoxin B1 by Using a Smartphone-Based Reading System

Post-Harvest & Food Engineering Division, Department of Agricultural Engineering, National Academy of Agricultural Sciences, Suwon 441707, Korea
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Sensors 2013, 13(4), 5109-5116; https://doi.org/10.3390/s130405109
Received: 6 February 2013 / Revised: 25 March 2013 / Accepted: 10 April 2013 / Published: 18 April 2013
This study was conducted to develop a simple, rapid, and accurate lateral flow immunoassay (LFIA) detection method for point-of-care diagnosis. The one-dot LFIA for aflatoxin B1 (AFB1) was based on the modified competitive binding format using competition between AFB1 and colloidal gold-AFB1-BSA conjugate for antibody binding sites in the test zone. A Smartphone-based reading system consisting of a Samsung Galaxy S2 Smartphone, a LFIA reader, and a Smartphone application for the image acquisition and data analysis. The detection limit of one-dot LFIA for AFB1 is 5 μg/kg. This method provided semi-quantitative analysis of AFB1 samples in the range of 5 to 1,000 μg/kg. Using combination of the one-dot LFIA and the Smartphone-based reading system, it is possible to conduct a more fast and accurate point-of-care diagnosis. View Full-Text
Keywords: lateral flow immunoassay; aflatoxin B1; Smartphone; point-of-care lateral flow immunoassay; aflatoxin B1; Smartphone; point-of-care
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MDPI and ACS Style

Lee, S.; Kim, G.; Moon, J. Performance Improvement of the One-Dot Lateral Flow Immunoassay for Aflatoxin B1 by Using a Smartphone-Based Reading System. Sensors 2013, 13, 5109-5116. https://doi.org/10.3390/s130405109

AMA Style

Lee S, Kim G, Moon J. Performance Improvement of the One-Dot Lateral Flow Immunoassay for Aflatoxin B1 by Using a Smartphone-Based Reading System. Sensors. 2013; 13(4):5109-5116. https://doi.org/10.3390/s130405109

Chicago/Turabian Style

Lee, Sangdae, Giyoung Kim, and Jihea Moon. 2013. "Performance Improvement of the One-Dot Lateral Flow Immunoassay for Aflatoxin B1 by Using a Smartphone-Based Reading System" Sensors 13, no. 4: 5109-5116. https://doi.org/10.3390/s130405109

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