Comparative Study on Prion Protein Detection Methods Using Biosensor Technology for Beef and Its Edible Products
American Journal of Biomedical and Life Sciences
Volume 6, Issue 1, February 2018, Pages: 1-8
Received: Nov. 23, 2017; Accepted: Nov. 29, 2017; Published: Jan. 17, 2018
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Authors
Kazi Naziba Tahsin, Department of Electrical and Electronics Engineering, Independent University, Bangladesh, Dhaka, Bangladesh
Rakib Hasan, Department of Electrical and Electronics Engineering, Independent University, Bangladesh, Dhaka, Bangladesh
Shahriar Khan, Department of Electrical and Electronics Engineering, Independent University, Bangladesh, Dhaka, Bangladesh
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Abstract
Prion diseases in humans are closely linked to consumption of bovine meant or organs infected with abnormal prions. Bovine organs which are most prone to prion disorders such as the brain and the liver, kidney etc are considered in various traditional cuisines over the world. Meat or edible parts should be tested safe from prions before releasing it into the market. The detection of prions proteins in bovine meat and other organs is a challenging task. The renowned methods include Quartz Crystal Microbalance and Surface Plasmon Resonance techniques. This paper narrates a performance analysis of the accuracy, sensitivity and feasibility of each technique over the other for the detection of abnormal prion protein. Successful detection of the infected prions will reduce the diseases related to abnormal prions in entering the food chain.
Keywords
Abnormal Prion Protein, Bioassay, Surface Plasmon Resonance Sensor, Quartz Crystal Microbalance
To cite this article
Kazi Naziba Tahsin, Rakib Hasan, Shahriar Khan, Comparative Study on Prion Protein Detection Methods Using Biosensor Technology for Beef and Its Edible Products, American Journal of Biomedical and Life Sciences. Vol. 6, No. 1, 2018, pp. 1-8. doi: 10.11648/j.ajbls.20180601.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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