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Christmas-tree Derived Amplification Immuno-Strategy for Sensitive Visual Detection of Vibrio parahaemolyticus Based on Gold Label Silver Stain Technology

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Abstract

A developed Christmas-tree derived immunosensor based on a gold label silver stain (GLSS) technique was fabricated for a highly sensitive analysis of Vibrio parahaemolyticu (VP). In this strategy, captured VP antibody (cAb) was immobilized on a solid substrate; then, the VPs were sequentially tagged with a signal probe by incubating the assay with a detection VP antibody (dAb) conjugated gold nanoparticles (AuNPs)-labeled graphite-like carbon nitride (g-C3N4). Finally, the attached signal probe could harvest a visible signal by the silver meal deposition, and then followed by homebrew Matlab 6.0 as a grey value acquisition. In addition, the overall design of the biosensor was established in abundant AuNPs and g-C3N4 with a two-dimensional structure, affording a bulb-decorated Christmas-tree model. Moreover, with the optimized conditions, the detection limit of the as-proposed biosensor is as low as 102 CFU (Colony-Forming Units) mL−1, exhibiting an increase of two orders of magnitude compared with the traditional immune-gold method. Additionally, the developed visible immunosensor was also successfully applied to the analysis of complicated samples.

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References

  1. W. Mala, M. Alam, S. Angkititrakul, S. Wongwajana, V. Lulitanond, S. Huttayananont, and C. Chomvarin, Infec. Genet. Evol., 2016, 39, 212.

    CAS  Google Scholar 

  2. M. T. Hossain, Y. O. Kim, and I. S. Kong, Mol. Cell. Probe, 2013, 27, 171.

    CAS  Google Scholar 

  3. J. Wei, X. Zhou, D. Xing, and B. Wu, Food Chem., 2010, 123, 852.

    CAS  Google Scholar 

  4. B. Bisha, J. Simonson, M. Janes, K. Bauman, and L. D. Goodridge, Int. J. Food Sci. Tech., 2012, 47, 885.

    CAS  Google Scholar 

  5. C. C. Li, Z. C. Ye, L. Y. Wen, F. K. Zhao, and J. Y. Pan, Vaccine, 2014, 32, 6115.

    CAS  PubMed  Google Scholar 

  6. Y. Hara-Kudo and S. Kumagai, Epidemiol. Infect., 2014, 142, 2237.

    CAS  PubMed  Google Scholar 

  7. K. S. Shaw, A. R. Sapkota, J. M. Jacobs, and B. C. Crump, Environ. Int., 2015, 74, 99.

    PubMed  Google Scholar 

  8. O. Laczka, M. Labbate, and M. Doblin, Anal. Methods, 2014, 6, 2020.

    CAS  Google Scholar 

  9. W. Jiang, X. Han, Q. Wang, and C. Ding, Appl. Microbiol. Biot., 2014, 98, 4937.

    CAS  Google Scholar 

  10. B. K. Kumar, P. Raghunath, D. Devegowda, V. K. Deekshit, M. N. Venugopal, and I. Karunasagar, Int. J. Food Microbiol, 2011, 145, 244.

    CAS  PubMed  Google Scholar 

  11. Y. R. Kim, E. Y. Kim, D. G. Kim, Y. O. Kim, M. T. Hossain, and I. S. Kong, Anal. Biochem., 2012, 424, 32.

    CAS  PubMed  Google Scholar 

  12. E. Sloan, M. O’Neill, C. Kaysner, A. DePaola, J. L. Nordstrom, and J. Sofos, J. Rapid Meth. Aut. Mic., 2003, 11, 297.

    Google Scholar 

  13. N. Miwa, M. Kashiwagi, F. Kawamori, T. Masuda, Y. Sano, M. Hiroi, and H. Kurashige, J. Food Hyg. Soc. Jpn., 2006, 47, 41.

    Google Scholar 

  14. J. L. Jones, Y. Hara-Kudo, J. A. Krantz, R. A. Benner, and A. DePaola, Food Microbiol., 2012, 30, 105.

    CAS  PubMed  Google Scholar 

  15. P. He, Z. Chen, J. Luo, H. Wang, and W. Gao, Mol. Cell Probe, 2014, 28, 246.

    CAS  Google Scholar 

  16. F. Zhao, D. Q. Zhou, H. H. Cao, and Y. H. Jiang, Food Control, 2011, 22, 1095.

    CAS  Google Scholar 

  17. Z. Zhang, L. Xiao, Y. Lou, M. Jin, and Y. Zhao, Food Control, 2015, 51, 31.

    Google Scholar 

  18. A. Tyagi, V. Saravanan, and I. Karunasagar, Int. J. Food Microbiol, 2009, 129, 124.

    CAS  PubMed  Google Scholar 

  19. G. Xiang, X. Pu, D. Jiang, L. Liu, C. Liu, and X. Liu, PLOS ONE, 2013, 8, e72342.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. C. D. Tian, Y. Z. Zhang, X. Y. Ma, and J. Wang, J. Food Safety, 2011, 31, 371.

    CAS  Google Scholar 

  21. L. Wang, L. Shi, J. Su, Y. Ye, and Q. Zhong, Gene, 2013, 515, 421.

    CAS  PubMed  Google Scholar 

  22. Q. Zhong, J. Tian, B. Wang, and L. Wang, Food Control, 2016, 63, 230.

    CAS  Google Scholar 

  23. Y. Ye, H. Li, Q. Wu, L. Na, and Y. Han, J. Food Safety, 2014, 34, 21.

    CAS  Google Scholar 

  24. Y. Sha, X. Zhang, W. Li, W. Wu, S. Wang, Z. Guo, J. Zhou, and X. Su, Talanta, 2016, 147, 220.

    CAS  PubMed  Google Scholar 

  25. H. C. Chen and T. C. Chang, Int. J. Food Microbiol., 1996, 29, 311.

    CAS  PubMed  Google Scholar 

  26. S. R. Ahmed, S. Oh, R. Baba, H. Zhou, S. Hwang, J. Lee, and E. Y. Park, Nanoscale Res. Lett., 2016, 11, 1.

    CAS  Google Scholar 

  27. T. Ding, A. W. Rudrum, L. O. Herrmann, V. Turek, and J. J. Baumberg, Nanoscale, 2016, 8, 15864.

    CAS  PubMed  PubMed Central  Google Scholar 

  28. Ł. Lentka, M. Kotarski, J. Smulko, U. Cindemir, Z. Topalian, C. G. Granqvist, R. Calavia, and R. Lonescu, Talanta, 2016, 160, 9.

    CAS  PubMed  Google Scholar 

  29. L. Nie, J. Tang, H. Guo, H. Chen, P. Xiao, and N. He, Anal. Sci., 2004, 20, 461.

    CAS  PubMed  Google Scholar 

  30. R. Q. Liang, C. Y. Tan, and K. C. Ruan, J. Immunol. Methods, 2004, 285, 157.

    CAS  PubMed  Google Scholar 

  31. H. J. Qi, S. H. Chen, M. L. Zhang, H. Shi, and S. Q. Wang, Anal. Bioanal. Chem., 2010, 398, 2745.

    CAS  PubMed  Google Scholar 

  32. Y. Deng, L. Tang, G. Zeng, J. Wang, Y. Zhou, J. Wang, J. Tang, Y. Liu, B. Peng, and F. Chen, J. Mol. Catal. A, 2016, 421, 209.

    CAS  Google Scholar 

  33. Z. Huang, F. Li, B. Chen, and G. Yuan, RSC Adv., 2015, 5, 14027.

    CAS  Google Scholar 

  34. E. Z. Lee, S. U. Lee, N. S. Heo, G. D. Stucky, Y. S. Jun, and W. H. Hong, Chem. Commun., 2012, 48, 3942.

    CAS  Google Scholar 

  35. Y. Bai, P. Q. Wang, J. Y. Liu, and X. J. Liu, RSC Adv., 2014, 4, 19456.

    CAS  Google Scholar 

  36. X. Li, Z. Guo, J. Li, Y. Zhang, H. Ma, X. Pang, B. Du, and Q. Wei, Anal. Chim. Acta, 2015, 854, 40.

    CAS  PubMed  Google Scholar 

  37. Q. Liu, Y. Guo, Z. Chen, Z. Zhang, and X. Fang, Appl. Catal. B, 2016, 183, 231.

    CAS  Google Scholar 

  38. S. Chen, A. Li, L. Zhang, and J. Gong, Anal. Chim. Acta, 2015, 896, 68.

    CAS  PubMed  Google Scholar 

  39. L. Du, Y. Wang, Z. Ren, C. Shen, and G. Luo, Ind. Eng. Chem. Res., 2016, 55, 6783.

    CAS  Google Scholar 

  40. L. Chen, X. Zeng, P. Si, Y. Chen, Y. Chi, D. H. Kim, and G. Chen, Anal. Chem., 2014, 86, 4188.

    CAS  PubMed  Google Scholar 

  41. Z. Zhang, C. Chen, and X. S. Zhao, Electroanalysis, 2009, 21, 1316.

    CAS  Google Scholar 

  42. W. Wang, W. Y. Wu, X. Zhong, W. Wang, Q. Miao, and J. J. Zhu, Biosens. Bioelectron., 2011, 26, 3110.

    CAS  PubMed  Google Scholar 

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Acknowledgments

Financial support from the National Natural Science Foundation of China (41576098, 81273130, and 511601370), the Science and Technology Department of Zhejiang Province of China (2016C33176, 2016R405068), the Natural Sciences Foundation of Guangdong Province of China (2014A030313590) and Shenzhen Science and Technology Bureau (JCYJ20140508155916417) are gratefully acknowledged. This work is also sponsored by K. C. Wong Magna Fund in Ningbo University.

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Authors and Affiliations

  1. Faculty of Materials Science and Chemical Engineering, Ningbo University, Ningbo, 315211, PR China

    Xinxin Song, Yanjie Wu, Lin Wu, Yufang Hu, Wenrou Li & Zhiyong Guo

  2. School of Marine Sciences, Ningbo University, Ningbo, 315211, PR China

    Xiurong Su

  3. School of Applied Chemistry and Biological Technology, Shenzhen Polytechnic, Shenzhen, 518055, PR China

    Xiaohua Jiang

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  1. Xinxin Song
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  2. Yanjie Wu
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  3. Lin Wu
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  4. Yufang Hu
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  5. Wenrou Li
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  6. Zhiyong Guo
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  7. Xiurong Su
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  8. Xiaohua Jiang
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Correspondence to Zhiyong Guo.

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Song, X., Wu, Y., Wu, L. et al. Christmas-tree Derived Amplification Immuno-Strategy for Sensitive Visual Detection of Vibrio parahaemolyticus Based on Gold Label Silver Stain Technology. ANAL. SCI. 33, 889–895 (2017). https://doi.org/10.2116/analsci.33.889

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  • DOI: https://doi.org/10.2116/analsci.33.889

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