Literature DB >> 17386503

An improved electrochemiluminescence polymerase chain reaction method for highly sensitive detection of plant viruses.

Ya-bing Tang1, Da Xing, De-bin Zhu, Jin-feng Liu.   

Abstract

Recently, we have reported an electrochemiluminescence polymerase chain reaction (ECL-PCR) method for detection of genetically modified organisms. The ECL-PCR method was further improved in the current study by introducing a multi-purpose nucleic acid sequence that was specific to the tris(bipyridine) ruthenium (TBR) labeled probe, into the 5' terminal of the primers. The method was applied to detect plant viruses. Conserved sequence of the plant viruses was amplified by PCR. The product was hybridized with a biotin labeled probe and a TBR labeled probe. The hybridization product was separated by streptavidin-coated magnetic beads, and detected by measuring the ECL signals of the TBR labeled. Under the optimized conditions, the experiment results show that the detection limit is 50 fmol of PCR products, and the signal-to-noise ratio is in excess of 14.6. The method was used to detect banana streak virus, banana bunchy top virus, and papaya leaf curl virus. The experiment results show that this method could reliably identity viruses infected plant samples. The improved ECL-PCR approach has higher sensitivity and lower cost than previous approach. It can effectively detect the plant viruses with simplicity, stability, and high sensitivity.

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Year:  2006        PMID: 17386503     DOI: 10.1016/j.aca.2006.09.021

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  4 in total

1.  Detection of Prorocentrum minimum (Pavillard) Schiller with an electrochemiluminescence-molecular probe assay.

Authors:  Xia Zhu; Yu Zhen; Tiezhu Mi; Zhigang Yu
Journal:  Mar Biotechnol (NY)       Date:  2012-01-28       Impact factor: 3.619

2.  PCR-free quantitative detection of genetically modified organism from raw materials. An electrochemiluminescence-based bio bar code method.

Authors:  Debin Zhu; Yabing Tang; Da Xing; Wei R Chen
Journal:  Anal Chem       Date:  2008-04-03       Impact factor: 6.986

Review 3.  Biosensor Technologies for Early Detection and Quantification of Plant Pathogens.

Authors:  Kazbek Dyussembayev; Prabhakaran Sambasivam; Ido Bar; Jeremy C Brownlie; Muhammad J A Shiddiky; Rebecca Ford
Journal:  Front Chem       Date:  2021-06-02       Impact factor: 5.221

4.  A high-sensitivity optical device for the early monitoring of plant pathogen attack via the in vivo detection of ROS bursts.

Authors:  Lizhang Zeng; Jun Zhou; Bo Li; Da Xing
Journal:  Front Plant Sci       Date:  2015-02-26       Impact factor: 5.753

  4 in total

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