Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

A fluorescence switch sensor for detection of virginiamycin based on graphene oxide-supported carbon quantum dots and molecularly imprinted polymer

Shuhuai Li*ab, Jianping Lic, Jinhui Luo*ab, Qun Zhangab and Lianming Zhangc
aAnalysis and Test Center of Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101, China. E-mail: happylishuhuai@163.com; luocatas@21cn.com
bLaboratory of Quality & Safety Risk Assessment for Tropical Products (Haikou), Ministry of Agriculture, Haikou, 571101, China
cCollege of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541004, China

Received 3rd November 2017 , Accepted 27th November 2017

First published on 15th December 2017


Abstract

A fluorescence switch sensor was developed for the detection of virginiamycin, which was based on graphene oxide-supported carbon quantum dots (GO/C-dots) as the signal indicator and molecularly imprinted polymer (MIP) as the recognition template. First, GO/C-dots were prepared on the surface of an indium tin oxide (ITO) electrode. Then, MIP with virginiamycin as the template molecule and o-aminophenol as the functional monomer were synthesized on the surface of the GO/C-dots-modified ITO electrode. After removal of virginiamycin from the MIP, a sensor for specific adsorption of virginiamycin was obtained. The GO/C-dots generated a bright fluorescent signal, while virginiamycin quenched this fluorescence. Therefore, elution and adsorption of virginiamycin by the MIP acted as a switch to control fluorescence intensity. The obtained sensor has a high sensitivity and good selectivity, with a detection limit of 1.56 × 10−11 mol L−1 for virginiamycin.


Introduction

Residual antibiotics in animal products are harmful for human life and health. Therefore, the detection and monitoring of residual antibiotics has attracted increasing attention. Virginiamycin1 is a type of antibiotic that has been widely used for the treatment of bacterial infections in animals because of its good spectrum of activity against both Gram-positive and Gram-negative bacteria. The residual virginiamycin in meat products and the environment is a huge potential danger for public health. Typically, residual antibiotics are detected by high-pressure liquid chromatography (HPLC)2 and HPLC-tandem mass spectrometry (HPLC-MS).3 However, traditional measurement methods involve high costs of operation and require complex pre-treatment of samples. Therefore, it is necessary to develop a sensitive, selective, inexpensive, and simple method for the detection of residual antibiotics. Due to the excellent selectivity, sensors-based on molecularly imprinted polymer (MIP) have found wide application.4,5

Molecular imprinting technique6 is a new and effective separation process that can prepare MIPs,7 featuring selective recognition of a specific molecule. Thus, an MIP can be selected as the recognition template for sensor preparation. Due to MIP's outstanding molecular recognition features and its excellent selectivity to substrates, MIP-based sensors are widely applied in analytical chemistry applications, including veterinary drug testing,8 environmental protection,9 and life sciences.10 Among numerous types of sensors, fluorescence sensors11,12 based on MIPs have received considerable attention due to several advantages, such as high sensitivity, selectivity, and feasibility of fabrication. Thus, the florescent sensors have been rapidly developed for the detection of residual veterinary antibiotics13 and pesticides.14 Hou et al.15 developed a fluorescence sensor for the detection of tetracycline by grafting imprinted polymers onto the surface of carbon quantum dots. This approach was combined the highly selective adsorption properties of MIPs with the sensitivity of fluorescence detection. In terms of improving the sensitivity of fluorescence sensors, recent strategies have been focused on developing nanometre-sized materials to amplify the detected signal. Graphene16 is a honeycomb-like sheet of carbon of only one atom thickness with a number of unique physical properties, such as a very large specific surface area, excellent thermal stability, and excellent optical performance. It is, therefore, being used as the base material for signal amplification in fluorescence sensors.17,18 Carbon dots (C-dots),19 likewise, are a new class of fluorescent nanomaterials with attractive features, such as low cytotoxicity, good biocompatibility, and tuneable excitation and emission wavelengths. The development of composite graphene-supported C-dots can therefore have great potential for increasing the sensitivity and stability of fluorescent sensors. To our knowledge, however, the use of graphene oxide-supported C-dots (GO/C-dots) together with an MIP sensor for virginiamycin detection has not been reported.

In this study, virginiamycin was selected as the analysis object and an MIP fluorescent switch sensor was fabricated for its selective detection. Initially, GO/C-dots were prepared by a hydrothermal method and coated onto indium tin oxide (ITO) electrodes. Subsequently, MIP was prepared via electropolymerisation using o-aminophenol as functional monomer and virginiamycin as the template molecule. After removal of the template molecule, the MIP sensors displayed stereo cavities in the MIP for recognizing (binding) virginiamycin. When a cavity was empty, the bright fluorescence of GO/C-dots was detected; in this conformation, the switch was “ON”. When virginiamycin was adsorbed onto the MIP, the fluorescence intensity of the GO/C-dots decreased; in this conformation, the switch was “OFF”. Thus, this switch controlled the fluorescence intensity of the GO/C-dots in the MIP by eluting and adsorbing virginiamycin as shown in Scheme 1. In addition, the detection signal was amplified by GO. Thus, a new method based on a fluorescence switch sensor for virginiamycin detection was established; this sensor exhibited high linearity, stability, sensitivity, and resolution, and can be applied for the detection of virginiamycin in real meat samples.


image file: c7ra12098b-s1.tif
Scheme 1 Fabrication of the switch sensor for the detection of virginiamycin.

Experimental

Apparatus and reagents

Fluorescence spectra were performed on an F-2500 photospectrometer (Hitachi, Tokyo, Japan). Electrochemical measurements were performed using an electrochemical workstation (CHI660D, Beijing Huake Putian Technology Co., Ltd., Beijing, China). The classical three-electrode system consisted of a KCl-saturated Ag/AgCl electrode as the reference electrode, a platinum wire electrode as the auxiliary electrode, and an MIP-modified ITO electrode as the working electrode. Transmission electron microscope (TEM) images were acquired using a Tecnai 30F TEM (Philips Electronics N.V., Amsterdam, Netherlands). X-ray photoelectron spectroscopy (XPS) was carried out using a VG Multilab 2000 spectrometer (Thermo Electron Corporation, USA). The diameter distribution analysis of NPs was performed using a ZS90 Nano particle size and zeta potential analyser (Malvern co., LTD, England).

Virginiamycin, gentamicin, amoxicillin, lincomycin, oxytetracycline, azithromycin, kanamycin, streptomycin, cefquinome, and tetracycline standards were bought from Dr Ehrenstorfer GmbH, Germany (Augsburg, Germany). The o-phenylenediamine was obtained from Xilong Scientific Co., Ltd, China (Shantou, China). GO was bought from Nanjing XFNANO Materials Tech Co., Ltd, China (Nanjing, China). All reagents used in our experiments were of analytical grade and all aqueous solutions were prepared with doubly distilled water.

Preparation of GO/C-dots modified ITO electrode

C-dots were synthesized using a hydrothermal method as reported in ref. 20. Briefly, sodium citrate (0.30 g) and NH4HCO3 (2.4 g) and 20 mL ultrapure water were added in a reaction vessel, which was sealed inside a Teflon lined stainless steel autoclave and heated at 200 °C for 3 h, following which the autoclave was allowed to cool to room temperature. Purification of the obtained C-dots was carried out using dialysis tubing. Subsequently, 0.10 g GO and 0.10 g C-dots were dissolved in 10 mL Tris–HCl (0.05 mol L−1, pH 7.6); after ultrasonic treatment for 30 min, GO/C-dots were obtained. The ITO electrode was cleaned via ultrasonication in acetone, ethanol, and double-distilled water for 5 min each. Finally, the ITO electrode was soaked in 20 μL GO/C-dots for 5 min and dried at 50 °C.

MIP-modified ITO electrode sensor fabrication

MIP and non-MIP electrodes (nMIP) were prepared directly on a GO/C-dots-modified ITO electrodes via electropolymerisation in 10 mL PBS (0.05 mol L−1, pH 7.4, contained 3 × 10−4 mol L−1 o-aminophenol and 1 × 10−4 mol L−1 virginiamycin). The MIP was formed on an ITO substrate after 20 cycles of cyclic voltammetry (CV) in the polymer solution by sweeping the potential in the range from 0 to +1.0 V at a scan rate of 50 mV s−1. After electropolymerisation, the modified ITO electrode was washed with methanol for 10 min to remove the imprinting molecules. The nMIP sensor was fabricated using the same method as above, but without the use of virginiamycin.

Electrochemical and fluorescence measurements

Electrochemical experiments were performed in a 3 × 10−4 mol L−1 K3[Fe(CN)6]/K4[Fe(CN)6] solution containing 0.5 mol L−1 KCl. CV was performed over the potential range from 0 to +0.8 V. Electrochemical impedance spectroscopy (EIS) was performed over the frequency range of 0.1 to 100[thin space (1/6-em)]000 Hz by applying an alternating voltage of 5 mV. Fluorescence spectra were measured over the wavelength range of 300–700 nm at an excitation wavelength of 260 nm in the Tris–HCl buffer (0.05 mol L−1, pH 7.6). The excitation and emission slits of the instrument were set to a width of 3 nm.

Sample treatment

Virginiamycin was extracted from meat samples via ultrasonic treatment. Briefly, 20 mL of acetonitrile was add to a 5.0 g meat sample and ultrasonicated for 30 min, then transferred into a 50 mL flask for evaporation and dried using a rotary evaporator. The final residue was dissolved in 1.0 mL of methanol.

Results and discussion

Characterization of GO/C-dots

The morphology of the GO/C-dots nanocomposite was characterized using a TEM. As shown in Fig. 1A, GO showed a thin flake structure with nanometer thickness. The sliced edges of GO were wrinkled, which could reduce the free energy of the system. C-dots were evenly distributed across the entire surface of GO as shown in Fig. 1B. Moreover, the C-dots were predominantly spheroidal particles with nanometer size. The size distribution of C-dots was investigated using a particle size analyser. As shown in Fig. 1C, the sizes of C-dots are primarily in the range of 8–40 nm with an average diameter of 21 nm. The predominant elements in GO/C-dots were analysed by XPS. Since the entire synthesis process was very simple and avoids the superfluous impurities, the GO/C-dots nanocomposites primarily composed of C, O, and N. As shown in Fig. 2D, C (1s) at 284 eV primarily originated from GO and the C-dots, O (1s) at 530 eV primarily originated from GO, and N (1s) at 399 eV primarily originated from chemical groups on the surface of the C-dots. Thus, based on these results, we infer that the GO/C-dots nanocomposite was successfully synthesized.
image file: c7ra12098b-f1.tif
Fig. 1 (A) TEM images of GO/C-dots; (B) TEM images of C-dots; (C) particle size distribution of C-dots; (D) XPS of GO/C-dots.

image file: c7ra12098b-f2.tif
Fig. 2 Characterization of MIP films: (A) CVs: (a) ITO bare electrode; (b) GO/C-dots modified ITO electrode; (c) MIP modified ITO electrode; (d) MIP modified ITO electrode after virginiamycin removal; (e) MIP modified ITO electrode after re-adsorption of 1 × 10−8 mol L−1 virginiamycin; (f) nMIP modified ITO electrode; (g) nMIP modified ITO electrode washed with methanol; (B) (a) ITO bare electrode; (b) GO/C-dots modified ITO electrode; (c) MIP modified ITO electrode; (d) MIP modified ITO electrode after virginiamycin removal; (e) MIP modified ITO electrode after re-adsorption of 1 × 10−8 mol L−1 virginiamycin.

Evaluation of the MIP

K3[Fe(CN)6]/K4[Fe(CN)6] was used as the redox probe to characterize MIP film formation on glassy carbon electrode (GCE) through CV and EIS methods. Although o-aminophenol film is nonconductive, cavities formed in the MIP after removal of virginiamycin can act as channels for electron transport. Thus, binding of the virginiamycin in the cavities can result in a corresponding change in redox current. As shown in Fig. 2A and B, ITO is a good conductor of electricity; there was a remarkable redox current (Fig. 2A, curve a) and small resistance (Fig. 2B, curve a) when the GO/C-dots were modified on the ITO. The peak current of the probe decreased (Fig. 2A, curve b), while the resistance increased (Fig. 2B, curve b). For MIP formed on the surface of ITO, it was difficult for the redox probe to react on ITO, causing a sharp decrease in the peak current of the probe (Fig. 2A, curve c) and a sharp increase in resistance (Fig. 2B, curve c). After virginiamycin removal, the cavities in MIP functioned as channels for electron transport and the peak current of the probe increased (Fig. 2A, curve d) and the resistance decreased (Fig. 3B, curve d). Upon virginiamycin re-adsorption in the MIP, the cavities were blocked and the channels for probe entrance disappeared again, resulting in a decrease in peak current (Fig. 2A, curve e) and increase in resistance (Fig. 2B, curve e). For nMIP, on the other hand, no channels for electron transport existed, so the peak current of the probe barely changed before and after nMIP modified ITO electrode was washed with methanol (Fig. 2A curve f and curve g). We hypothesize that some cavities were deformed, which made it difficult for template molecules to enter the cavities. Nonetheless, from the above results, it is evident that the molecularly imprinted membrane showed a clear response to virginiamycin.
image file: c7ra12098b-f3.tif
Fig. 3 Fluorescence response of sensors: (a) bare ITO electrode; (b) C-dots modified ITO electrode; (c) GO/C-dots modified ITO electrode; (d) MIP modified ITO electrode; (e) MIP modified ITO electrode after virginiamycin removal; (f) MIP modified ITO electrode after re-adsorption of 1 × 10−8 mol L−1 virginiamycin.

Fluorescence of the MIP sensor

The sensor offered a switch to control the fluorescence of C-dots by virginiamycin removal and re-adsorption. As shown in Fig. 3, no fluorescence signal was detected for ITO (curve a), while for the C-dots modified on the surface of ITO, a visible fluorescence signal at 560 nm (curve b) was observed, which was significantly enhanced by GO (curve c). The latter resulted from the excellent electrical conductivity and high specific surface area of GO. Moreover, GO has excellent optical properties and facilitates transmission of photons. After MIP was prepared on the GO/C-dots-modified ITO, the fluorescence intensity significantly decreased due to fluorescence quenching of the GO/C-dots (curve d) by virginiamycin. After removal of virginiamycin MIP, the switch turned “ON” and the fluorescence intensity recovered (curve e). When virginiamycin was re-adsorbed onto MIP, the switch turned “OFF” and the fluorescence quenched again (curve f). The involved mechanism could be dominated by dynamic quenching processes. To substantiate the mechanism involved, the relation between virginiamycin concentration and fluorescence intensity of the GO/C-dots was studied using the Stern–Volmer equation. The results are shown in Fig. 4 and Table 1. The fluorescence quenching constant increased with increase in temperature and the quenching constant was much lower than 200 L mol−1. These results indicate that the kinetics of the quenching reacdtions correspond to dynamic quenching processes.21 Excited electrons of the C-dots can enter conduction bands, forming electron–hole pairs. When these electrons are captured by virginiamycin, electron–hole pairs can be destroyed, resulting in fluorescence quenching.
image file: c7ra12098b-f4.tif
Fig. 4 Effect of temperature on fluorescence intensity of GO/C-dots.
Table 1 Parameters of Stern–Volmer plots of GO/C-dots
Temperature/K (KSb × 105)/(L mol−1) Stern–Volmer linear equation R
300 0.0454 F0/F = 0.0454c + 1.013 0.9991
310 0.0346 F0/F = 0.0346c + 0.864 0.9988
320 0.0225 F0/F = 0.0225c + 0.824 0.9997


Optimization of method

The experimental conditions were optimized for virginiamycin detection, including the time for template removal, time for re-adsorption, and pH of the buffer. As shown in Fig. 5A, when the template was removed from the MIP, the fluorescence intensity increased. The fluorescence intensity was measured every minute; it initially increased gradually and then remained constant after 5 min (curve a). When 8 × 10−8 mol L−1 virginiamycin was re-adsorbed onto the MIP, the switch turned “OFF”, causing a decrease in signal.
image file: c7ra12098b-f5.tif
Fig. 5 (A) (a) Effects of template removal on FL intensity; (b) effects of re-adsorption on 8 × 10−8 mol L−1 virginiamycin. (B) Effects of pH on 1 × 10−8 mol L−1 virginiamycin.

Furthermore, the fluorescence intensity was measured every minute; it initially decreased gradually and then remained constant after 6 min (curve b). Thus, the optimum time for virginiamycin removal and re-adsorption was 5 and 6 min, respectively. The effects of pH were investigated after re-adsorption of 8 × 10−8 mol L−1 virginiamycin in the pH range from 7.4 to 8.2 (Fig. 5B); the results reveal that the fluorescence quenching intensity reached a maximum at pH 7.6, which was therefore selected as the optimum pH.

Calibration curve

Fluorescence was measured after treatment of the developed sensor with different concentrations of virginiamycin. From the experimental results, it was found that the relationship between the concentration of virginiamycin (c) and the decrease in the fluorescence intensity (ΔI) was linear in the range from 5.0 × 10−10 to 8.0 × 10−8 mol L−1. As shown in Fig. 6, the linear regression fit was ΔI = 0.47c (10−10 mol L−1) + 22.3, with a correlation coefficient (r) of 0.9992. The detection limit (DL) was 1.56 × 10−11 mol L−1 using the formula DL = KSb/a, where a represents the slope of the calibration plot, Sb represents the standard deviation of the replicate blank measurements, and K is a constant with value 3. Compared with other methods in the literature, the sensor with GO/C-dots was more sensitive and had a lower detection limit.
image file: c7ra12098b-f6.tif
Fig. 6 Fluorescent response of the sensor with adsorbed virginiamycin at different concentrations. (a–m) (0, 5, 10, 20, 50, 100, 200, 300, 400, 500, 600, 700, and 800) × 10−10 mol L−1 virginiamycin.

Selectivity of the MIP sensor

The selectivity of MIP sensors typically relies on the MIP recognition sites. Therefore, the nMIP sensor and GO/C-dots-modified electrode was compared with the MIP sensor. The adsorption procedures were performed as described above using commercial antibiotics such as gentamicin, amoxicillin, lincomycin, oxytetracycline, azithromycin, kanamycin, streptomycin, cefquinome, and tetracycline in 5 × 10−9 mol L−1 virginiamycin; the resultant fluorescence intensities were studied. As shown in Fig. 7A, no difference was observed after virginiamycin re-adsorption on the MIP sensor between solutions with or without a mixture of the above-mentioned antibiotics. However, fluorescence tests showed that there were visible changes for the nMIP sensor (the relative deviation [RD] was 79.6%) and GO/C-dots-modified electrode (RD = 85.3%) after addition of the above-mentioned pesticides. This occurred because the nMIP sensor and GO/C-dots-modified electrode did not have specific recognition sites for virginiamycin. In addition, interference with the detection of virginiamycin by coexisting ions was also tested. As shown in Fig. 7B, the fluorescence intensity for the MIP sensor was slightly altered (RD < 5.0%) using solutions with an added mixture of 2000-fold (relative to the concentration of virginiamycin) Cu2+, Cd2+, Fe2+, CO32−, Pd2+, Na+, K+, Zn2+, SO32−, NO3−, PO43−, SO42−, Hg2+, Cl, F, Mg2+, NH4+, I, Fe3+, Cr3+, Br, Ni2+, Ca2+, and Mn2+. However, the RD values for the nMIP sensor and GO/C-dots-modified electrode were 35.6 and 47.8%, respectively. These results strongly suggest that the MIP sensor exhibited good selectivity for virginiamycin.
image file: c7ra12098b-f7.tif
Fig. 7 (A) RDs of sensors with or without antibiotics interference; (B) RDs of sensors with or without interference of coexisting ions.

Reproducibility and stability of the sensor

The reproducibility and stability of the sensor were studied by measuring the fluorescence intensities. A relative standard deviation (RSD) of 2.8% was obtained by measurement of the fluorescence intensities for five different sensors, which indicated good sensor-to-sensor reproducibility. In addition, an RSD of 4.7% was obtained by measurement of the fluorescence intensities using the same sensor in five measurements. To test its stability, the sensor was dipped in double distilled water at 4 °C when not in use. The fluorescence response detected every two days remained nearly unchanged for 10 days. After a month, the fluorescence intensity decreased by about 10.8% as compared with the initial response. This indicated that the sensor exhibited good reproducibility and stability.

Sample detection

The proposed method was next applied to the detection of virginiamycin in actual meat samples. Five types of animal products (chicken, beef, pork, mutton, and carp) were obtained from a wholesale market (West Market in Haikou City of China) and pre-treated according to the procedure outlined in Section “Sample treatment”. The detection results using our as-fabricated MIP sensor were compared with the results obtained from HPLC-MS analysis using the same samples. As shown in Table 2, recoveries between 87.4 and 107.3% were observed. These results demonstrate that the developed sensor could be used to analyse the amount of virginiamycin in real samples.
Table 2 Results of sample assay and recoveries
Samples This method (n = 5) RSD% HPLC-MS method 10−10 mol L−1 (n = 5) Added 10−10 mol L−1 Total found 10−10 mol L−1 (n = 5) RSD% Recoveries%
Chicken 7.80 2.80 7.75 10.00 16.54 3.21 87.4
Beef Not detected Not detected 10.00 9.24 4.32 92.4
Pork Not detected Not detected 15.00 16.10 3.68 107.3
Mutton Not detected Not detected 15.00 14.32 4.98 95.5
Carp Not detected Not detected 20.00 17.85 3.77 89.2


Conclusions

In summary, a fluorescence switch sensor using a molecularly imprinted polymer (MIP) as the recognition template and graphene oxide-modified carbon dots (GO/C-dots) as the signal source was developed for virginiamycin determination. The fabrication of the MIP and GO/C-dots system offers several advantages, such as high sensitivity and selectivity, which facilitate anti-interference for the sensor in the detection of antibiotics from complex matrix samples. The introduced strategy can easily be extended to the detection of other antibiotics and harmful substances by screening for suitable MIPs. However, the binding volume and structural rigidity of MIP in the sensor still requires further improvement.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This project was supported by the Natural Science Foundation of Hainan Province of China (No. 217222) and the Central Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences (No. 1630082017002 and 1630082017003).

Notes and references

  1. B. J. Lemos, F. G. Castro, L. S. Santos, B. P. Mendonça, V. R. Couto and J. J. Fernandes, J. Anim. Sci., 2016, 94, 4307 CrossRef CAS PubMed.
  2. C. A. Hajee, H. J. van Rhijn, J. J. Lasaroms, H. J. Keukens and J. J. De, Analyst, 2001, 126, 1332 RSC.
  3. J. Boison, S. Lee and R. Gedir, J. AOAC Int., 2009, 92, 329 CAS.
  4. P. Gupta and R. N. Goyal, RSC Adv., 2015, 5, 40444 RSC.
  5. J. Hou, H. Li, L. Wang, P. Zhang, T. Zhou, H. Ding and L. Ding, Talanta, 2016, 146, 34 CrossRef CAS PubMed.
  6. J. Wackerlig and R. Schirhagl, Anal. Chem., 2016, 88, 250 CrossRef CAS PubMed.
  7. K. Haupt and K. Mosbach, Chem. Rev., 2000, 100, 249 CrossRef.
  8. S. Li, C. Liu, G. Yin, Q. Zhang, J. Luo and N. Wu, Biosens. Bioelectron., 2017, 91, 687 CrossRef CAS PubMed.
  9. A. N. Kawde, N. Baig and M. Sajid, RSC Adv., 2016, 6, 91325 RSC.
  10. Y. Wang, M. Han, X. Ye, K. Wu, T. Wu and C. Li, Microchim. Acta, 2017, 184, 195 CrossRef CAS.
  11. J. R. Wei, Y. L. Ni, W. Zhang, Z. Q. Zhang and J. Zhang, Anal. Chim. Acta, 2017, 960, 110 CrossRef CAS PubMed.
  12. M. Mehrzad-Samarin, F. Faridbod, A. S. Dezfuli and M. R. Ganjali, Biosens. Bioelectron., 2017, 92, 618 CrossRef CAS PubMed.
  13. S. Wagner, J. Bell, M. Biyikal, K. Gawlitza and K. Rurack, Biosens. Bioelectron., 2018, 99, 244 CrossRef CAS PubMed.
  14. W. Han, L. Gao, X. Li, L. Wang, Y. Yan, G. Che, B. Hu, X. Lin and M. Song, RSC Adv., 2016, 84, 81346 RSC.
  15. J. Hou, H. Li, L. Wang, P. Zhang, T. Zhou, H. Ding and L. Ding, Talanta, 2016, 146, 34 CrossRef CAS PubMed.
  16. F. H. Koppens, T. Mueller, P. Avouris, A. C. Ferrari, M. S. Vitiello and M. Polini, Nat. Nanotechnol., 2014, 9, 780 CrossRef CAS PubMed.
  17. F. Shi, Y. Zhang, W. Na, X. Zhang, Y. Li and X. Su, J. Mater. Chem. B, 2016, 4, 3278 RSC.
  18. A. M. Şenol, Y. Onganer and K. Meral, Sens. Actuators, B, 2017, 239, 343–351 CrossRef.
  19. Y. P. Sun, B. Zhou, Y. Lin, W. Wang, K. A. Fernando, P. Pathak, M. J. Meziani, B. A. Harruff, X. Wang, H. F. Wang, P. G. Luo, H. Yang, M. E. Kose, B. L. Chen, L. M. Veca and S. Y. Xie, J. Am. Chem. Soc., 2006, 128, 7756 CrossRef CAS PubMed.
  20. Y. M. Guo, Z. Wang, H. W. Shao and X. Y. Jiang, Carbon, 2013, 52, 583 CrossRef CAS.
  21. Z. Liu, P. Yin, H. Gong, P. Li, X. Wang and Y. He, J. Lumin., 2012, 132, 2484 CrossRef CAS.

This journal is © The Royal Society of Chemistry 2017