Surface molecularly imprinted electrochemical sensor for phenol based on SiO2 nanoparticles

Gaixia Zhanga, Li Fang*a, Feifei Lia and Baojiao Gaob
aSchool of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, PR China. E-mail: Fangli@sxu.edu.cn
bDepartment of Chemical Engineering, North University of China, Taiyuan 030051, PR China. E-mail: gaobaojiao@126.com

Received 11th March 2016 , Accepted 1st June 2016

First published on 2nd June 2016


Abstract

A novel surface molecularly imprinted electrochemical sensor (MIECS) for the recognition and detection of phenol was constructed by dispersing a molecularly imprinted polymer (MIP) film on a multi-walled carbon nanotube (MWNTs) modified glass carbon electrode (GCE). An adsorption equilibrium of phenol to polyethyleneimine (PEI, grafted to SiO2 nanoparticles) was achieved before molecular imprinting was carried out towards PEI by using phenol as a template and ethylene glycol diglycidyl ether (EGDE) as a cross-linker. The MIP was fabricated after the removal of phenol and the etching of SiO2 nanoparticles. The obtained MIP and MIECS were characterized by Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The sensor exhibited a remarkable enhancement of current response since the charge transfer process was facilitated by the etching of SiO2 nanoparticles and the modification of GCE with MWNTs–COOH. The sensor showed specific recognition ability to phenol rather than other phenolic compounds with an excellent repeatability since the recognition sites were distributed on the surface of the polymer. The linear range of the calibration curve was 1 × 10−8 to 1.8 × 10−6 M with a detection limit of 4.2 × 10−9 M (S/N = 3) when potassium ferricyanide was used as the electrochemically active probe, superior to the other electrochemical sensors reported in the literature. The fabricated sensor exhibited a good performance in the determination of phenol in real samples as well.


1. Introduction

Phenol is an essential material used for the production of various chemicals, such as pesticides, coatings, plastics, dyes, etc., and it is also widely applied in the petrochemical and coal chemical industries.1 Nevertheless, phenol is classified as one of the priority pollutants by the United States Environmental Protection Agency (USEPA)2 due to its strong toxicity to human beings, such as in inducing cell lesions, protein inactivation, and even leading to death.3,4 In the past decades, the indiscriminate discharge of industrial wastewater containing phenolic substances has caused very serious environmental pollution. In particular, the contamination of drinking water has directly threatened local people's lives. Therefore, the treatment of phenolic wastewater has attracted worldwide concern and has been efficiently and extensively studied.

One of the premises of treatment of phenolic wastewater is accurately and fast determining the content of phenol in phenolic wastewater. The conventional phenol detecting methods mainly include spectrophotometry (SP),5 high performance liquid chromatography (HPLC),6 gas chromatography (GC)7 etc. Recently, the electrochemical sensors for phenol detection8–10 have been rapidly developed because of their high detecting efficiency and low cost, nevertheless, poor selectivity and lower sensitivity caused by the interference of other compositions in practical samples hindered the application of electro-analytical methods.11,12 Hence, it is of great importance and necessity to construct a sensitive and accurate electrochemical sensor with specific recognition for phenol detection.

Molecularly imprinted polymers (MIPs)13–15 are a kind of well-tailored smart materials, which are distributed with a great deal of imprinted cavities designed for the template molecules. The cavities are highly matched with the template molecules in shape, size and functional group arrangement. MIPs can specifically recognize and bind the template molecules due to their memory function to the structure of template molecules.16 Lately MIPs have been applied for recognition, separation, enrichment, analysis and monitoring of matters,17,18 showing structure–activity predetermination, high stability and long lifespan, etc. However, the recognition sites of MIPs synthesized by means of traditional mass polymerization are mostly encapsulated in the bulk of polymer, which inevitably hinder the binding between the imprinted molecules and recognition sites due to the diffusion resistance.19

Surface molecularly imprinted polymers can solve the above binding problem since their recognition sites are located on the surface of the MIPs,20–22 though it is still difficult to achieve fast and high-efficiency detection to combine surface molecularly imprinted technology and the regular characterization methods such as SP, HPLC and GC. Electrochemical sensors by far have got much attention due to the advantages including high-efficiency, high sensitivity, speediness, together with easy carrying, easy operation and low cost. Thus, constructing imprinted electrochemical sensors by combining surface imprinted technique with electrochemical technique is one of the extremely important methods to specifically detect the target molecules.23

Zhao and Hao24 developed a novel electrochemistry-molecular imprinting sensor for tert-butylhydroquinone (TBHQ) detection in foodstuff. In their work, TBHQ-imprinted core–shell nanoparticles (TICSNs) were prepared by polymerization to the silica nanoparticles (SiO2NPs) modified with (3-chloropropyl) trimethoxysilane and polyethylenimine, respectively, with ethylene glycol dimethacrylate as cross-linker. The fabricated TICSNs-sensor showed a high selective recognition ability and fast response to TBHQ due to the remarkably increased effective binding sites based on their specific surface area. The conductivity of the sensor was very poor though the linear range of the calibration curve was 0.1–50.0 mg kg−1 with the detection limit of 0.27 mg kg−1, which might be caused by the non-conductivity of SiO2NPs. By electropolymerization, Li et al.25 deposited polypyrrole on an aldehyde group-functionalized silica (SiO2–CHO) modified Au electrode to fabricate a three-dimensional macroporous electrochemical sensor for bovine hemoglobin recognition (BHb). The prepared sensor exhibited an excellent selective recognition and fast rebinding capacity for BHb since all the cavities were located at the surface of the polymers. With the etching of SiO2 nanoparticles, both the conductivity and the efficiency of mass transport were increased. Zhou et al.26 established a multiporous imprinted electrochemical sensor for the detection of epinephrine (EP) by electropolymerization of a polypyrrole film on the surface of SiO2NPs and multiwalled carbon nanotubes (MWNTs) modified glassy carbon electrode (GCE). In this case, a multiporous network structure was obtained by the etching of SiO2NPs, leading to the improvement of the rebinding rate and efficiency of imprinted sites of the sensor. Moreover, a remarkable increase of the electrochemical sensitivity was achieved by using MWNTs to modify the GCE electrode. The fabricated sensor showed an excellent selectivity to EP and a good linear range of 3.0 × 10−7 M to 1.0 × 10−3 M with a detection limit of 3.0 × 10−8 M.

To date, the surface molecularly imprinted electrochemical sensor (MIECS) based on SiO2 nanoparticles for phenol detection has not yet been reported. In this paper, combining graft polymerization, surface imprinting and electrochemical technique, we fabricated a MIECS for phenol detection. Characterized by cycle voltammetry (CV) and difference pulse voltammetry (DPV), the obtained sensor showed high selectivity and sensitivity to phenol, indicating its potential application for phenol recognition and detection environmentally.

2. Experimental

2.1 Chemicals and reagents

The main chemicals and reagents used in this research are as follows: silica nanoparticles (20 nm, Qingdao Haiyang chemical Co., Ltd), dimethylbenzene (Sinopharm Chemical Reagent Co., Ltd), γ-chloropropyl trimethoxy siloxane (CP-TMS, 99%, Qufu Wand Chemical Co., Ltd.), polyethyleneimine (PEI, 50 wt%, Wuhan Qianglong New Chemical Materials Co., Ltd.), ethylene glycol diglycidyl ether (EGDE, Wuxi City Fangrong Material Co., Ltd), multi-walled carbon nanotubes (MWNTs, 95%, Shenzhen Nanotech Port Co., Ltd).

2.2 Preparation of MIP

The MIP@SiO2 was fabricated according to ref. 27–29. Firstly, 20 g of as-received SiO2 was activated by 5% HCl, the activated SiO2 were then added into dimethylbenzene containing CP-TMS and refluxed with stirring at 80 °C for 6 h. Secondly, 1 g of chloropropylation of SiO2 and 50 mL of PEI (50 wt%) were mixed and refluxed at 90 °C with stirring for 5 h. The product was washed with ultrapure water and then centrifuged followed with vacuum drying at 40 °C, labeled as PEI/SiO2. Afterwards, PEI/SiO2 was immersed in 500 mL of phenol aqueous solution (1 g L−1) and kept for 8 hours to reach an adsorption equilibrium.30 Finally, the PEI/SiO2 saturated with phenol was added into 100 mL of the solution of absolute ethanol with 5 mL of EGDE, the reaction was carried out for 8 h at room temperature. The solid part was separated by centrifugation and dried, labeled as Ph-MIP@SiO2. After phenol was eluted by 5% HCl, the surface imprinted polymer was then dried at 40 °C in a vacuum drying, labeled as MIP@SiO2. For comparison, the non-imprinted polymer without phenol was prepared using the same method for MIP@SiO2, labeled as NIP@SiO2.

To remove SiO2, the above prepared MIP@SiO2 was etched in a hydrothermal reactor with 20 mL of mixture of concentrated HF (40%) and HNO3 (65%) solution (v/v 3[thin space (1/6-em)]:[thin space (1/6-em)]1) at 120 °C for 4 h, followed by centrifugation and wash with ultra-pure water for several times. The obtained product was dried at 60 °C by vacuum drying, labeled as MIP. The etching process of SiO2 from Ph-MIP@SiO2 and NIP@SiO2 was the same, the corresponding products were labeled as Ph-MIP and NIP, respectively.

2.3 Fabrication of the surface MIECS

The as-received MWNTs were calcined in a tube furnace at 400 °C for 2 h to remove the residual catalysts and amorphous carbon particles before use.31 The oxidation of MWNTs was carried on by reflux in a mixed solution of H2SO4 (98%) and HNO3 (65%) with volume ratio of 3[thin space (1/6-em)]:[thin space (1/6-em)]1 at 80 °C for 4 h.32,33 The carboxylic MWNTs was washed with ultrapure water for several times till neutral, separated by centrifugation at 9000 rpm for 15 min and vacuum drying, labeled as MWNTs–COOH.

To get a mirror-like surface, a bare glass carbon electrode (GCE) was polished repeatedly using 0.05 μm alumina aqueous slurry and rinsed, sonicated in ultrapure water and ethanol for 10 min, respectively. After being dried in air, 10 μL of MWNTs–COOH suspension in DMF was dropped on the surface of GCE and dried under the infrared light, the fabricated electrode was labeled as MWNTs–COOH/GCE. Finally, 10 μL MIP suspension in DMF was dropped on the formed MWNTs–COOH layer and dried again, the modified electrode was labeled as MIP/MWNTs–COOH/GCE. For comparison, Ph-MIP/MWNTs–COOH/GCE and NIP/MWNTs–COOH/GCE were prepared at the same conditions.

2.4 Physical characterizations

Fourier transform infrared (FT-IR) spectra of the samples were characterized on a Bruker Tensor 27 spectrometer (BRUKER OPTICS, Germany) with KBr disc method. The SEM images were recorded on a JEOL 6701F field emission scanning electron microscope (JEOL Co. Ltd., Japan).

The construction process of surface MIECS is depicted in Scheme 1.


image file: c6ra06508b-s1.tif
Scheme 1 Schematic illustration of the fabrication process of the MIECS.

2.5 Electrochemical characterization and measurements

The cyclic voltammetry (CV) characterization was carried out on an Electrochemical Workstation (CHI660, Chenhua Company, Shanghai, China) with a three-electrode test system, in which the modified GCE was used as the working electrode, saturated calomel electrode (SCE) as the reference electrode and platinum wire as the counter electrode.

To determine the specific identification of the sensor, cyclic voltammograms (CVs) were recorded from −0.8 V to 1.2 V in 0.1 M phosphate buffer solutions (PBS, pH = 7) containing phenol, the mixture of phenol and catechol, and the mixture of phenol, catechol and hydroquinone, respectively, with scan rate of 50 mV s−1. All the concentrations of phenol, catechol and hydroquinone were controlled as 1 × 10−6 M.

To test the sensitivity and determine the calibrate curve of the prepared sensor, differential pulse voltammetry (DPV) was recorded in 5 mM K3[Fe(CN)6] solution containing phenol with different concentrations.34,35 In our case, the measuring conditions were set as follows: the potential increment 4 mV, amplitude 50 mV, pulse width 50 ms.36,37

The reproducibility and stability of the sensor were examined by the following method: the used MIECS electrode was immersed into 5% HCl for 30 min to remove phenol and dried, and then the DPV of the reactivated sensor was recorded in the K3[Fe(CN)6] solution containing 1 × 10−6 M phenol. The process was repeated for at least 10 times.

2.6 Real sample detection

To evaluate the analytical applicability of the prepared sensor, it was also applied to the determination of phenol in real samples such as tap water, river water (taken from Fenhe River) and treated coking wastewater (taken from local coking plant) using the standard addition method. Known amount of phenol (the concentrations were estimated to be 0.5 μM and 1.0 μM, respectively) was added into each sample before DPV measurement.12

3. Results and discussion

3.1 The elution of phenol from MIP

The detection performance of MIP electrochemical sensor strongly depends on the amount of cavities formed by removal of the template molecules.15 In this case, the more phenol being removed, the more imprinted cavities being formed. Fig. 1 shows the CVs of Ph-MIP/MWNTs–COOH/GCE (a), MIP/MWNTs–COOH/GCE (b) and NIP/MWNTs–COOH/GCE (c) in PBS solution with pH 7. Before the elution of phenol (Fig. 1a), the peak of the oxidation of phenol to benzoquinone38 and the corresponding reduction peak during the negative scan are observed at 0.71 and 0.095 V, respectively. After the elution of the template molecules (Fig. 1b), the disappearance of the above characteristic peak demonstrates the successful removal of phenol from MIP. Fig. 1b and c are quite similar to each other, evidently shows the complete elution of phenol molecules from MIP by HCl solution. In addition, a couple of unconspicuous redox peaks at 0.15 V (positive scan) and −0.35 V (negative scan) are also observed for all the three samples. We deduce that the peaks are attributed to the redox reaction of carboxyl group on the carbon nanotubes.39
image file: c6ra06508b-f1.tif
Fig. 1 CVs of Ph-MIP/MWNTs–COOH/GCE (a), MIP/MWNTs–COOH/GCE (b) and NIP/MWNTs–COOH/GCE (c) in 0.1 M PBS (pH = 7.0).

3.2 The etching of SiO2 from MIP/SiO2

Fig. 2 shows the FTIR spectra of SiO2 (a), MIP@SiO2 (b) and MIP after etching of SiO2 (c). In comparison to the very strong adsorptions of pure SiO2 (Fig. 2a) at 3446 cm−1 (Si–OH, ν-as), 1103 cm−1 (Si–O–Si, ν-as), 806 cm−1 (Si–O–Si, ν-s), together with a relatively weak adsorption at 1638 cm−1 (Si–OH, β),40 all the characteristic peaks of MIP@SiO2 (Fig. 2b) weakened markedly because the surfaces of SiO2 particles were covered by the MIP. Meanwhile, some new peaks are observed: the peak at 1643 cm−1 is contributed to the bending vibration of N–H, both of the peaks at 1568 and 1475 cm−1 are assigned to the stretch vibration of C–N, indicating that MIP was successfully grafted to the surface of SiO2. After the etching process, most of SiO2 were removed, which could be proved by the sharp decrease of the characteristic peaks of SiO2 (Fig. 2c).41,42
image file: c6ra06508b-f2.tif
Fig. 2 FTIR spectra of SiO2 (a), MIP@SiO2 (b) and MIP after etching of SiO2 (c).

Fig. 3a–c show the morphologies of PEI@SiO2, MIP@SiO2 and MIP (etched by HF + HNO3), respectively. The uneven surface observed for PEI@SiO2 illustrates that PEI was grafted to SiO2. With the imprint of phenol to PEI@SiO2, the surface of MIP@SiO2 became smooth due to the addition of cross-linking agent EGDE,24 leading to the fixed imprint sites over the surface. After the etching process, the material softened and became smoother since SiO2 was removed from MIP@SiO2. However, some particles underneath the polymer layer are still faintly visible due to the incomplete removal of SiO2, which is well consistent with the result obtained from the FTIR analysis.


image file: c6ra06508b-f3.tif
Fig. 3 SEM images of (a) PEI@SiO2, (b) MIP@SiO2, (c) MIP@SiO2 etched by HF + HNO3.

3.3 The electrochemical performance of MIP/MWNTs–COOH/GCE

3.3.1 CV characterization. The cyclic voltammograms of the bare GCE, MIP@SiO2/MWNTs–COOH/GCE, MIP/MWNTs–COOH/GCE and MWNTs–COOH/GCE in 0.1 M KCl solution containing 5 mM K3[Fe(CN)6] are presented in Fig. 4a–d, respectively. In comparison with the CV of the bare GCE (Fig. 4a), the GCE electrode modified by MWNTs–COOH (Fig. 4d) shows much higher redox current of [Fe(CN)6]3−/[Fe(CN)6]4−, which could be attributed to the strong enhancement of MWNTs–COOH to the electron transfer of the electrode.43 For MIP@SiO2/MWNTs–COOH/GCE (Fig. 4b), the redox current of [Fe(CN)6]3−/[Fe(CN)6]4− sharply decreases due to the obstruction of electron transfer led by the non-conductive core of SiO2 nanoparticles and the MIP matrix. After the removal of SiO2 nanoparticles by etching, the redox current increases dramatically (MIP/MWNTs–COOH/GCE, Fig. 4c), though the current is still lower than that of MWNTs–COOH/GCE. It is interesting to mention that the holes generated by the elution of the template phenol facilitated the electron transfer of the sensor.
image file: c6ra06508b-f4.tif
Fig. 4 CVs of the bare GCE electrode (a) and the modified electrodes in 0.1 M KCl solution containing 5 mM K3[Fe(CN)6]: MIP@SiO2/MWNTs–COOH/GCE electrode (b), MIP/MWNTs–COOH/GCE electrode (c) and MWNTs–COOH/GCE electrode (d).
3.3.2 The specific recognition. For evaluating the specific recognition ability of the sensor, the CVs of MIP/MWNTs–COOH/GCE in PBS solution containing different phenolic compounds including pure phenol, the mixture of phenol and catechol, the mixture of phenol and hydroquinone, the mixture of phenol, hydroquinone and catechol were recorded respectively, which are shown in Fig. 5a–d. For comparison, the CV of MWNTs–COOH/GCE in phenol PBS solution (Fig. 5e) is presented as well. Obviously the CVs of MIP/MWNTs–COOH/GCE recorded in different phenolic solutions are quite similar, that is, only one peak at 0.86 V corresponding to phenol oxidation is presented, indicating the specific recognition ability of MIP/MWNTs–COOH/GCE to phenol. The existence of other phenolic compounds showed no influence to the direct phenol detection. On the other hand, the CV curve of MWNTs–COOH/GCE in phenol PBS solution (Fig. 5e) shows three peaks: the strong oxidation peak of phenol at 0.71 V is assigned to phenol oxidation to benzoquinone, indicating a higher activity of pure MWNTs–COOH compared to MIP/MWNTs–COOH. Nevertheless, two other peaks at 0.12 and 0.36 V are attributed to the oxidation of hydroquinone and catechol, respectively,44,45 although neither hydroquinone or catechol was added into the test solution, which illustrates non-selectivity of pure MWNTs–COOH. This phenomenon further confirms the specific recognition ability of the fabricated MIECS to phenol.
image file: c6ra06508b-f5.tif
Fig. 5 CVs of MIP/MWNTs–COOH/GCE electrode in PBS (pH = 7.0) containing phenol (a), phenol + hydroquinone (b), phenol + catechol (c), phenol + hydroquinone + catechol (d), and MWNTs–COOH/GCE in phenol (e), the concentrations of phenol in all the solutions were 1 × 10−6 M.

However, the current intensities of the CVs directly obtained from phenol electro-oxidation are nearly half of those using K3[Fe(CN)6] as active probe (as shown in Fig. 4). On the other hand, the capacitive current in DPV is reduced in comparison to CV due to the different principles between the two test methods. In addition, the sensitivity of phenol detection by CV might be reduced to some existence due to the inevitable interference of the intermediates, such as hydroquinone and catechol. Thus in the following research, the DPV responses of the active probe, K3[Fe(CN)6], were measured to evaluate the properties of the fabricated sensor.

3.3.3 Calibration curve. Fig. 6 illustrates the DPV responses of MIP/MWNTs–COOH/GCE electrode in the aqueous solutions with different phenol concentration using [Fe(CN)6]3−/[Fe(CN)6]4− as an electro-chemical active probe46 (A) and the calibration curve of phenol (B). Obviously, the sharp and well-defined oxidation peak of [Fe(CN)6]3−/[Fe(CN)6]4− weakens with the increase of the template molecule concentration (Fig. 6A), since the oxidation–reduction of [Fe(CN)6]3−/[Fe(CN)6]4− was hindered gradually due to the occupation of imprinted cavities by phenol.47,48 A linear relationship was fitted in the concentration range of 1 × 10−8 to 1.8 × 10−6 M with relation coefficient of 0.9942 (Fig. 6B). The detection limit of the sensor was calculated to be 4.2 × 10−9 M (S/N = 3),49 showing a larger linear range and lower detection limit compared to those of other electrochemical sensors reported in literature,9,50–54 as listed in Table 1. This could be contributed to not only the facilitated charge transfer process caused by the etching of SiO2 nanoparticles and the modification of GCE with MWNTs–COOH, but also the recognition sites distributed on the surface of the polymer.
image file: c6ra06508b-f6.tif
Fig. 6 (A) The DPVs of MIP/MWNTs–COOH/GCE in the aqueous solutions containing 0.1 M KCl, 5 mM K3[Fe(CN)6], and phenol (the arrow direction is from 0 to 1.8 × 10−6 M); (B) the calibration curve of phenol.
Table 1 The performance comparison between the fabricated sensor and other electrochemical sensors reported in literaturea
Methods Modified materials Linear range (M) LOD (M) References no.
a SWV = square wave voltammograms; it = amperometric current–time curve; DAB = 3,3′-diaminobenzidine; PGE = pencil graphite electrode; PDPA = poly(diphenylamine); 2,7-BFCNPE = 2,7-bis(ferrocenyl ethyl)fluoren-9-one.
SWV ZnO/CNTs 1.0 × 10−6 to 7.5 × 10−4 5 × 10−7 50
it Enzyme/3D graphene 5 × 10−8 to 2 × 10−6 5 × 10−8 9
DPV 6B-PGE 4 × 10−5 to 3.2 × 10−4 1.2 × 10−7 51
CV PDPA-MWCNT 9.8 × 10−6 to 8 × 10−5 5 × 10−7 52
SWV 2,7-BFCNPE/CNTs 1 × 10−5 to 9 × 10−4 53
Biosensor Enzyme 7 × 10−6 54
DPV MIP/MWNTs 1 × 10−8 to 1.8 × 10−6 M 1.4 × 10−9 This work


3.4 The reusability and stability

The reusability and stability of the sensor were studied by recording DPVs of the used MIP/MWNTs–COOH/GCE sensor in 5 mM K3[Fe(CN)6] solution containing 1 × 10−6 M phenol after the elution of phenol. Fig. 7 shows the peak currents of phenol oxidation after repeated elution of phenol from the used sensor. It is clearly seen that the peak current barely changes, and the relative standard deviation (RSD) is 1.04% after repeat for 10 times. This demonstrates a good reusability of the fabricated sensor. The current response of prepared sensor to phenol after long storage was tested as well to study the stability of the sensor. The modified electrode retains 98% of its initial response after 20 days and 96% after 40 days. The sensor exhibits good stability and can be used for the detection of phenol.
image file: c6ra06508b-f7.tif
Fig. 7 The reusability of MIP/MWCNT/GCE. (Test solution: 0.1 M KCl solution containing 5 mM K3[Fe(CN)6] and 1 × 10−6 M phenol).

3.5 The phenol detection in real samples

The determination of phenol in the three real samples were carried out using the standard addition method and the corresponding results are listed in Table 2. The results clearly show that the prepared MIP/MWCNT/GCE is a reliable and effective electrochemical sensor for phenol detection. Moreover, the interference from other species in water samples could be almost negligible.
Table 2 Determination of phenol in real samples (n = 3)
Samples Phenol added (μM) Peak current (μA) Phenol found (μM) Recovery (%) RSD (%)
Tap water 0.5 118.0 ± 0.01 0.49 ± 0.01 97.54 0.8
1 105.20 ± 0.01 1.04 ± 0.01 103.92 0.2
River water 0.5 117.40 ± 0.02 0.51 ± 0.07 102.72 1.2
1 104.50 ± 0.06 1.07 ± 0.03 107.07 2.6
Treated waste water 0 121.20 ± 0.02 0.35 ± 0.07 1.8
0.5 109.80 ± 0.07 0.84 ± 0.03 168.20 3.4
1 97.98 ± 0.04 1.35 ± 0.02 135.04 1.4


4. Conclusions

In this work, a novel surface molecularly imprinted electrochemical senor for phenol with specific recognition and high sensitivity was established. The sensor exhibited a remarkable enhancement of current response due to the facilitated charge transfer process caused by the etching of SiO2 nanoparticles and the modification of GCE with MWNTs–COOH. In comparison to the other phenolic compounds, the sensor showed specific recognition to phenol together with excellent repeatability since the recognition site were distributed on the surface of the polymer. The linear range of the calibration curve was 1.00 × 10−8 to 1.80 × 10−6 M with the detection limit of 4.2 × 10−9 M (S/N = 3) when potassium ferricyanide was used as the electro-chemical active probe. The fabricated sensor exhibited a good performance on the determination of phenol in real samples as well.

Acknowledgements

We wish to thank the financial support from the Natural Science Fund of Shanxi Province (Major project, No. 2014011003), the Research Project Supported by Shanxi Scholarship Council of China (No. 2012-006).

Notes and references

  1. S.-J. Yuan, J.-T. Gu, Y. Zheng, W. Jiang, B. Lianga and S.-O. Pehkonen, J. Mater. Chem. A, 2015, 3, 4620–4636 CAS.
  2. P.-P. Qi, J.-C. Wang, L.-D. Wang, Y. Li, J. Jin, F. Su, Y.-J. Tian and J.-J. Chen, Polymer, 2010, 51, 5417–5423 CrossRef CAS.
  3. L. Shu, J.-K. Zhu, Q.-J. Wang, P.-G. He and Y.-Z. Fang, Luminescence, 2014, 29, 579–585 CrossRef CAS PubMed.
  4. B. Bukowska and S. Kowalska, Toxicol. Lett., 2004, 152, 73–84 CrossRef CAS PubMed.
  5. X.-X. Han, L. Chen, U. Kuhlmann, C. Schulz, I. M. Weidinger and P. Hildebrandt, Angew. Chem., Int. Ed., 2014, 53, 2481–2484 CrossRef CAS PubMed.
  6. T. Hofmann, E. Nebehaj and L. Albert, J. Chromatogr. A, 2015, 1393, 96–105 CrossRef CAS PubMed.
  7. Á. Kovács, M. Mörtl and A. Kende, Microchem. J., 2011, 99, 125–131 CrossRef.
  8. A. V. Kolliopoulos, D. K. Kampouris and C. E. Banks, Analyst, 2015, 140, 3244–3250 RSC.
  9. F. Liu, Y.-X. Piao, J. S. Choi and T. S. Seo, Biosens. Bioelectron., 2013, 50, 387–392 CrossRef CAS PubMed.
  10. Y.-X. Cheng, Y.-J. Liu, J.-J. Huang, K. Li, Y.-Z. Xian, W. Zhang and L.-T. Jin, Electrochim. Acta, 2009, 54, 2588–2594 CrossRef CAS.
  11. B. J. Sanghavi and A. K. Srivastava, Electrochim. Acta, 2011, 56, 4188–4196 CrossRef CAS.
  12. A. S. Ahammad, M. M. Rahman, G.-R. Xu, S. Kim and J.-J. Le, Electrochim. Acta, 2011, 56, 5266–5271 CrossRef CAS.
  13. H.-H. Yang, S.-Q. Zhang, W. Yang, X.-L. Chen, Z.-X. Zhuang, J.-G. Xu and X.-R. Wang, J. Am. Chem. Soc., 2004, 126, 4054–4055 CrossRef CAS PubMed.
  14. L.-X. Chen, S.-F. Xu and J.-H. Li, Chem. Soc. Rev., 2011, 40, 2922–2942 RSC.
  15. M. P. Tiwari and A. Prasad, Anal. Chim. Acta, 2015, 853, 1–18 CrossRef CAS PubMed.
  16. S. M. Reddy, G. Sette and Q. Phan, Electrochim. Acta, 2011, 56, 9203–9208 CAS.
  17. A. Bossi, F. Bonini, A. P. F. Turner and S. A. Piletsky, Biosens. Bioelectron., 2007, 22, 1131–1137 CrossRef CAS PubMed.
  18. L. Ye and K. Mosbach, Chem. Mater., 2008, 20, 859–868 CrossRef CAS.
  19. G. Wu, J.-Y. Li, X. Qu, Y.-X. Zhang, H. Hong and C.-S. Liu, RSC Adv., 2015, 5, 4701–4702 Search PubMed.
  20. B.-J. Gao, X.-J. Li, T. Chen and L. Fang, Ind. Eng. Chem. Res., 2014, 53, 4469–4479 CrossRef CAS.
  21. S. Banerjee and B. König, J. Am. Chem. Soc., 2013, 135, 2967–2970 CrossRef CAS PubMed.
  22. Q.-Y. Niu, K.-Z. Gao, Z.-H. Lin and W.-H. Wu, Chem. Commun., 2013, 49, 9137–9139 RSC.
  23. B. B. Prasad, R. Madhuri, M. P. Tiwari and P. S. Sharma, Electrochim. Acta, 2010, 55, 9146–9156 CrossRef CAS.
  24. P.-N. Zhao and J.-C. Hao, Food Chem., 2013, 139, 1001–1007 CrossRef CAS PubMed.
  25. L. Li, L.-L. Yang, Z.-L. Xing, X.-J. Lu and X.-W. Kan, Analyst, 2013, 138, 6962–6968 RSC.
  26. H. Zhou, G.-L. Xu, A.-H. Zhu, Z. Zhao, C.-C. Ren, L.-L. Nie and X.-W. Kan, RSC Adv., 2012, 2, 7803–7808 RSC.
  27. B.-J. Gao, F.-Q. An and Y. Zhu, Polymer, 2007, 48, 2288–2297 CrossRef CAS.
  28. B.-J. Gao, F.-Q. An and K.-K. Liu, Appl. Surf. Sci., 2006, 253, 1946–1952 CrossRef CAS.
  29. F.-Q. An, B.-J. Gao and X.-Q. Feng, J. Hazard. Mater., 2008, 157, 286–292 CrossRef CAS PubMed.
  30. A. Toyama, K. Ohta and H. Takeuchi, J. Mol. Struct., 2005, 735–736, 235–241 CrossRef CAS.
  31. X.-G. Sun and X.-S. Zeng, New Carbon Mater., 2004, 19, 65–68 CAS.
  32. J.-M. You, D. Kim and S. Jeon, Electrochim. Acta, 2012, 65, 288–293 CrossRef CAS.
  33. J.-Y. Kim, Y. Jo, S. Lee and H.-C. Choi, Tetrahedron Lett., 2009, 50, 6290–6292 CrossRef CAS.
  34. X.-Y. Zhang, Y. Peng, J.-L. Bai, B.-A. Ning, S.-M. Sun, X.-D. Hong, Y.-Y. Liu, Y. Liu and Z.-X. Gao, Sens. Actuators, B, 2014, 200, 69–75 CrossRef CAS.
  35. L. Li, L.-L. Yang, Z.-L. Xing, X.-J. Lu and X.-W. Kan, Analyst, 2013, 138, 6962–6968 RSC.
  36. Q. Han, X. Wang, Z.-Y. Yang, W.-Y. Zhu, X.-M. Zhou and H.-J. Jiang, Talanta, 2014, 123, 101–108 CrossRef CAS PubMed.
  37. M. Chen, C.-F. Zhao, W. Chen, S.-H. Weng, A.-L. Liu, Q.-C. Liu, Z.-F. Zheng, J.-H. Lin and X.-H. Lin, Analyst, 2013, 138, 7341–7346 RSC.
  38. E. J. E. Stuart and M. Pumera, J. Phys. Chem. C, 2011, 115, 5530–5534 CAS.
  39. Y. Shoja, A.-A. Rafati and J. Ghodsi, Mater. Sci. Eng., C, 2016, 58, 835–845 CrossRef CAS PubMed.
  40. J. Fang, X.-F. Wang, L.-S. Wang, B. Cheng, Y.-T. Wu and W.-L. Zhu, Chin. Sci. Bull., 2007, 52, 461–466 CrossRef CAS.
  41. F.-Q. An and B.-J. Gao, J. Hazard. Mater., 2008, 152, 1186–1191 CrossRef CAS PubMed.
  42. B.-J. Gao, P.-F. Jiang, F.-Q. An, S.-Y. Zhao and Z. Ge, Appl. Surf. Sci., 2005, 250, 273–279 CrossRef CAS.
  43. C. Gao, Z. Guo, J.-H. Liu and X.-J. Huang, Nanoscale, 2012, 4, 1948–1963 RSC.
  44. S. N. Hussain, H. M. A. Asghar and A. K. Campen, Electrochim. Acta, 2013, 110, 550–559 CrossRef CAS.
  45. L. Fang, F.-F. Li and G.-X. Zhang, Chin. Sci. Bull., 2015, 78, 749–752 CAS.
  46. B. Rezaei, M. K. Boroujeni and A. A. Ensafi, Electrochim. Acta, 2014, 123, 332–339 CrossRef CAS.
  47. B. Rezaei, M.-K. Boroujeni and A.-A. Ensafi, Biosens. Bioelectron., 2014, 60, 77–83 CrossRef CAS PubMed.
  48. H.-P. Bai, C.-Q. Wang, J. Chen, J. Peng and Q. Cao, Biosens. Bioelectron., 2015, 64, 352–358 CrossRef CAS PubMed.
  49. M. L. Yola, T. Eren and N. Atar, Biosens. Bioelectron., 2014, 60, 277–285 CrossRef CAS PubMed.
  50. K.-M. Hassan, M. Moazampour, A.-A. Ensafi, S. Mallakpour and M. Hatami, Environ. Sci. Pollut. Res., 2014, 21, 5879–5888 CrossRef PubMed.
  51. N. Vishnu and A.-S. Kumar, Anal. Methods, 2015, 7, 1943–1950 RSC.
  52. C.-Y. Yang, S.-M. Chen, T.-H. Tsai and B. Unnikrishnan, Int. J. Electrochem. Sci., 2012, 7, 12796–12807 CAS.
  53. H.-M. Moghaddam, H. Beitollahi, S. Tajik, M. Malakootian and H.-K. Maleh, Environ. Monit. Assess., 2014, 186, 7431–7441 CrossRef CAS PubMed.
  54. R. Solná, S. Sapelnikova, P. Skládal, M. Winther-Nielsen, C. Carlsso, J. Emnéus and T. Ruzgas, Talanta, 2005, 65, 349–357 CrossRef PubMed.

This journal is © The Royal Society of Chemistry 2016
Click here to see how this site uses Cookies. View our privacy policy here.