Literature DB >> 20614904

Detection of six genetically modified maize lines using optical thin-film biosensor chips.

Sulan Bai1, Jie Zhang, Shucheng Li, Haodong Chen, William Terzaghi, Xin Zhang, Xiurong Chi, Jin Tian, Hongxia Luo, Wensheng Huang, Ying Chen, Yaochuan Zhang.   

Abstract

As more and more genetically modified organisms (GMO) are commercialized, efficient and inexpensive assays are required for their quick detection. An event-specific detection strategy based on the unique and specific sequences of integration junctions is useful because of its high specificity. This study developed a system for detecting six GM maize lines (Bt11, Bt176, GA21, MON810, NK603, and T25) using optical silicon thin-film biosensor chips. Aldehyde-labeled probes were arrayed and covalently attached to a hydrazine-derivatized chip surface. Biotinylated PCR amplicons were then hybridized with the probes. After washing and brief incubation with an anti-biotin IgG horseradish peroxidase conjugate and a precipitable horseradish peroxidase substrate, biotinylated PCR amplicons perfectly matched with the probes can be visualized by the color change on the chip surface (gold to blue/purple). This assay is extremely robust, exhibits high sensitivity and specificity, and is flexible from low through moderate to high throughput.

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Year:  2010        PMID: 20614904     DOI: 10.1021/jf100598k

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

1.  The Vector Population Monitoring Tool (VPMT): High-Throughput DNA-Based Diagnostics for the Monitoring of Mosquito Vector Populations.

Authors:  Chris Bass; Dimitra Nikou; John Vontas; Martin J Donnelly; Martin S Williamson; Linda M Field
Journal:  Malar Res Treat       Date:  2010-12-22

Review 2.  Perspectives on genetically modified crops and food detection.

Authors:  Chih-Hui Lin; Tzu-Ming Pan
Journal:  J Food Drug Anal       Date:  2015-07-30       Impact factor: 6.157

  2 in total

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