Regular ArticlesNo Access

A GRAPHENE/ENZYME-BASED ELECTROCHEMICAL SENSOR FOR SENSITIVE DETECTION OF ORGANOPHOSPHORUS PESTICIDES

College of Food Science and Technology, Guangdong Ocean University, Guangdong Provincial Key, Laboratory of Aquatic Product Processing and Safety, Key Laboratory of Advanced Processing of Aquatic Products of Guangdong Higher Education Institution, Zhanjiang 524088, P. R. China

Search for more papers by this author

CHENGYONG LI

E-mail Address: cyli@gdou.edu.cn

Search for more papers by this author

RIJIAN MO

Search for more papers by this author

PENG ZHANG

Search for more papers by this author

LEI HE

Search for more papers by this author

FANGHONG NIE

Search for more papers by this author

WEIMING SU

Search for more papers by this author

SHUCHENG LIU

Search for more papers by this author

JING GAO

Search for more papers by this author

HAIYAN SHAO

Search for more papers by this author

ZHONG-JI QIAN

Department of Chemistry, Pukyong National University, Busan 608737, Korea

Search for more papers by this author

, and

HONGWU JI

Search for more papers by this author

https://doi.org/10.1142/S0218625X15501036Cited by:17 (Source: Crossref)

Abstract

A sensitive and fast sensor for quantitative detection of organophosphorus pesticides (OPs) is obtained using acetylcholinesterase (AChE) biosensor based on graphene oxide (GO)–chitosan (CS) composite film. This new biosensor is prepared via depositing GO–CS composite film on glassy carbon electrode (GCE) and then assembling AChE on the composite film. The GO–CS composite film shows an excellent biocompatibility with AChE and enhances immobilization efficiency of AChE. GO homogeneously disperses in the GO–CS composite films and exhibits excellent electrocatalytic activity to thiocholine oxidation, which is from acetylthiocholine catalyzed by AChE. The results show that the inhibition of carbaryl/trichlorfon on AChE activity is proportional to the concentration of carbaryl/trichlorfon. The detection of linear range for carbaryl is from 10nM to 100nM and the correlation coefficients of 0.993. The detection limit for carbaryl is calculated to be about 2.5nM. In addition, the detection of linear range for trichlorfon is from 10nM to 60nM and the correlation coefficients of 0.994. The detection limit for trichlorfon is calculated to be about 1.2nM. This biosensor provides a new promising tool for trace organophosphorus pesticide detection.

Keywords:

References

1. F. Arduini et al., Anal. Chim. Acta 580 (2006) 155. Crossref, Web of Science, Google Scholar
2. B. Li, Y. He and C. Xu, Talanta 72 (2007) 223. Crossref, Web of Science, Google Scholar
3. C. S. Pundir and N. Chauhan, Anal. Biochem. 429 (2012) 19. Crossref, Web of Science, Google Scholar
4. H. Zhao et al., Biosens. Bioelectron. 65 (2015) 23. Crossref, Web of Science, Google Scholar
5. H. A. Azab et al., Anal. Chim. Acta 759 (2013) 81. Crossref, Web of Science, Google Scholar
6. J. Guo et al., Food Anal. Methods 7 (2014) 1247. Crossref, Web of Science, Google Scholar
7. X. Yan et al., Biosens. Bioelectron. 74 (2015) 277. Crossref, Web of Science, Google Scholar
8. Z. L. Xu et al., Food Chem. 131 (2012) 1569. Crossref, Web of Science, Google Scholar
9. H. X. Zhao et al., Food Anal. Methods 6 (2013) 497. Crossref, Web of Science, Google Scholar
10. Q. Wang et al., Food Anal. Methods 8 (2015) 2044. Crossref, Web of Science, Google Scholar
11. G. Liu et al., Chem. Eur. J. 14 (2008) 9951. Crossref, Web of Science, Google Scholar
12. L. Zhang et al., Nanoscale 4 (2012) 4674. Crossref, Web of Science, ADS, Google Scholar
13. B. G. Choi et al., Electrochem. Commun. 11 (2009) 672. Crossref, Web of Science, Google Scholar
14. D. Huo et al., Sens. Actuators B 199 (2014) 410. Crossref, Web of Science, Google Scholar
15. P. Raghu et al., Food Chem. 142 (2014) 188. Crossref, Web of Science, Google Scholar
16. C. Y. Li and L. He, Surf. Rev. Lett. 21 (2014) 1450021. Link, Web of Science, ADS, Google Scholar
17. H. Li et al., Talanta 87 (2011) 93. Crossref, Web of Science, Google Scholar
18. S. Anandhakumar, K. Dhanalakshmi and J. Mathiyarasu, Electrochem. Commun. 38 (2014) 15. Crossref, Web of Science, Google Scholar
19. X. Zhang et al., Biosens. Bioelectron. 41 (2013) 669. Crossref, Web of Science, Google Scholar
20. H. Li et al., Anal. Chim. Acta 766 (2013) 47. Crossref, Web of Science, Google Scholar
21. A. Kumaravel and M. Chandrasekaran, J. Electroanal. Chem. 650 (2011) 163. Crossref, Web of Science, Google Scholar
22. X. Ge et al., Biosens. Bioelectron. 50 (2013) 486. Crossref, Web of Science, Google Scholar
23. M. Zhou, Y. Zhai and S. Dong, Anal. Chem. 81 (2009) 5603. Crossref, Web of Science, Google Scholar
24. Y. H. Song et al., Electrochim. Acta 56 (2011) 7267. Crossref, Web of Science, Google Scholar
25. Y. P. Li and G. Y. Han, Analyst 137 (2012) 3160. Crossref, Web of Science, ADS, Google Scholar
26. S. J. Li, Y. Xing and G. F. Wang, Microchim. Acta 176 (2012) 163. Crossref, Web of Science, Google Scholar
27. S. Smarzewska and W. Ciesielski, Food Anal. Methods 8 (2015) 635. Crossref, Web of Science, Google Scholar
28. X. Kang et al., Anal. Biochem. 369 (2007) 71. Crossref, Web of Science, Google Scholar
29. H. Wu et al., Talanta 80 (2009) 403. Crossref, Web of Science, Google Scholar
30. A. C. Ion et al., Mater. Sci. Eng. C 30 (2010) 817. Crossref, Web of Science, Google Scholar
31. H. L. Guo et al., ACS Nano 3 (2009) 2653. Crossref, Web of Science, Google Scholar
32. Z. H. Sheng et al., ACS Nano 5 (2011) 4350. Crossref, Web of Science, Google Scholar