INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Quantitative and sensitive detection of prohibited fish drugs by surface-enhanced Raman scattering |
Shi-Chao Lin(林世超)1,2, Xin Zhang(张鑫)1,2, Wei-Chen Zhao(赵伟臣)1,2, Zhao-Yang Chen(陈朝阳)2, Pan Du(杜攀)1,2, Yong-Mei Zhao(赵永梅)3, Zheng-Long Wu(吴正龙)4, Hai-Jun Xu(许海军)1,2 |
1. Beijing Bioprocess Key Laboratory, Beijing University of Chemical Technology, Beijing 100029, China;
2. College of Science, Beijing University of Chemical Technology, Beijing 100029, China;
3. Engineering Research Center for Semiconductor Integrated Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China;
4. Analytical and Testing Center, Beijing Normal University, Beijing 100875, China |
|
|
Abstract Rapid and simple detections of two kinds of prohibited fish drugs, crystal violet (CV) and malachite green (MG), were accomplished by surface-enhanced Raman scattering (SERS). Based on the optimized Au/cicada wing, the detectable concentration of CV/MG can reach 10-7 M, and the linear logarithmic quantitative relationship curves between logI and logC allows for the determination of the unknown concentration of CV/MG solution. The detection of these two analytes in real environment was also achieved, demonstrating the application potential of SERS in the fast screening of the prohibited fish drugs, which is of great benefit for food safety and environmental monitoring.
|
Received: 14 September 2017
Revised: 20 November 2017
Accepted manuscript online:
|
PACS:
|
87.64.kp
|
(Raman)
|
|
78.30.-j
|
(Infrared and Raman spectra)
|
|
Fund: Project supported by the National Basic Research Program of China (Grant No. 2014CB745100), the National Natural Science Foundation of China (Grant Nos. 21390202 and 21676015), and the Beijing Higher Education Young Elite Teacher Project. |
Corresponding Authors:
Xin Zhang, Hai-Jun Xu
E-mail: zhxin@mail.buct.edu.cn;hjxu@mail.buct.edu.cn
|
About author: 87.64.kp; 78.30.-j |
Cite this article:
Shi-Chao Lin(林世超), Xin Zhang(张鑫), Wei-Chen Zhao(赵伟臣), Zhao-Yang Chen(陈朝阳), Pan Du(杜攀), Yong-Mei Zhao(赵永梅), Zheng-Long Wu(吴正龙), Hai-Jun Xu(许海军) Quantitative and sensitive detection of prohibited fish drugs by surface-enhanced Raman scattering 2018 Chin. Phys. B 27 028707
|
[1] |
Senapati S, Srivastava S K, Singh S B and Kulkarni A R 2014 Environ. Res. 135 95
|
[2] |
Song D, Yang R, Wang C W, Xiao R and Long F 2016 Sci. Rep. 6 22870
|
[3] |
Halme K, Lindfors E and Peltonen K 2004 Food Addit. Contam. 21 641
|
[4] |
Bueno M J M, Herrera S, Uclés A, Agüera A, Hernando M D, Shimelis O, Rudolfsson M and Fernández-Alba A R 2010 Anal. Chim. Acta 665 47
|
[5] |
Zhang C X, Liu L, Yin H J, Fang H, Zhao Y M, Bi C J and Xu H J 2014 Appl. Phys. Lett. 105 011905
|
[6] |
Fang H, Zhang C X, Liu L, Zhao Y M and Xu H J 2015 Biosens. Bioelectron. 64 434
|
[7] |
Hou M J, Zhang X, Cui X Y, Liu C, Li Z C and Zhang Z J 2015 Chin. Phys. B 24 034203
|
[8] |
Xu B B, Zhang Y L, Zhang W Y, Liu X Q, Wang J N, Zhang X L, Zhang D D, Jiang H B, Zhang R and Sun H B 2013 Adv. Opt. Mater. 1 56
|
[9] |
Qi J W, Li Y D, Yang M, Wu Q, Chen Z Q, Wang W D, Lu W Q, Yu X Y, Xu J J and Sun Q 2013 Nanoscale Res. Lett. 8 437
|
[10] |
Tanahashi I and Harada Y 2014 Nanoscale Res. Lett. 9 298
|
[11] |
Morikawa J, Ryu M, Seniutinas G, Balčytis A, Maximova K, Wang X W, Zamengo M, Ivanova E P and Juodkazis S 2016 Langmuir 32 4698
|
[12] |
Lamberti A, Virga A, Angelini A, Ricci A, Descrovi E, Cocuzza M and Giorgis F 2015 Rsc Adv. 5 4404
|
[13] |
Tsai Y C, Hsu P C, Lin Y W and Wu T M 2009 Sensor. Actuat. B-Chem. 138 5
|
[14] |
Li W Y, Camargo P H C, Lu X M and Xia Y N 2009 Nano Lett. 9 485
|
[15] |
Chen L Y, Yang K H, Chen H C, Liu Y C, Chen C H and Chen Q Y 2014 Analyst 139 1929.
|
[16] |
Song J, Huang Y Q, Fan Y X, Zhao Z H, Yu W S, Rasco B A and Lai K Q 2016 Nanomaterials 6 175
|
[17] |
Li B, Shi Y E, Cui J C, Liu Z, Zhang X L and Zhan J H 2016 Anal. Chim. Acta 923 66
|
[18] |
Kumar P, Khosla R, Soni M, Deva D and Sharma S K 2017 Sensor. Actuat. B-Chem. 246 477
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|