Citation
Abstract
Genetically modified organisms (GMO) are increased remarkably from year to year and the estimated global area cultivated with genetically modified (GM) crops reached 125 million hectares in year 2008. However, insect resistance maize based on Bacillus thuringienses (Bt) is of the most cultivated GM crop in worldwide. Bacillus thuringiensis (Bt) is an aerobic, gram-positive bacterium that synthesize one or more Cry protein that are toxic to various types crop and forestry insects pests. To date, several cry genes have been introduced into GM plant to combat with various type of insect. Worldwide commercialization of GM crops has raised the customers’ concern about the Biosafety issues, and thus, many countries have implemented the labeling legislations for GM food and their derivatives. In this study, we introduced the quantitative analysis method based on the recombinant plasmid DNA as calibrators that can be used to determine the percentage of GMO content in various types of food and feed samples. Therefore, we have reported 7.5% (6/80) of the samples were contained StarLink maize and 1.25% (1/80) samples were contained Bt176 maize. Additionally, the percentage of GM content in each positive sample were further determined with the developed quantitative method. The percentage of the StarLink corns that present in the positive samples were varies from 0.09% to 2.53% and Bt176 corn that present in the positive sample was 16.90%. The present study demonstrated that the recombinant plasmid DNA that used in quantitative real-time method as good alternative quantitative analysis of GM content.
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Official URL or Download Paper: http://www.ifrj.upm.edu.my/volume-18-2011.html
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Food Science and Technology Faculty of Medicine and Health Science |
Publisher: | Faculty of Food Science and Technology, Universiti Putra Malaysia |
Keywords: | Bt176 corn; Genetically modified organisms; Quantitative realtime PCR; Recombinant plasmid DNA; StarLink corn; SYBR Green I. |
Depositing User: | Nur Farahin Ramli |
Date Deposited: | 18 Feb 2014 06:56 |
Last Modified: | 02 Jun 2015 02:50 |
URI: | http://psasir.upm.edu.my/id/eprint/24063 |
Statistic Details: | View Download Statistic |
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