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Sensors 2013, 13(4), 5109-5116; doi:10.3390/s130405109
Article

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

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Received: 6 February 2013; in revised form: 25 March 2013 / Accepted: 10 April 2013 / Published: 18 April 2013
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Abstract: 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.
Keywords: lateral flow immunoassay; aflatoxin B1; Smartphone; point-of-care lateral flow immunoassay; aflatoxin B1; Smartphone; point-of-care
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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.

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.

Chicago/Turabian Style

Lee, Sangdae; Kim, Giyoung; Moon, Jihea. 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.


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