3.1. Characterization of Fe3O4@MXene/rGO/PANI composites
3.1.1. XRD studies
To check the crystalline nature and composition of as-prepared nanocomposites, the XRD patterns of rGO, Fe3O4, MXene, Fe3O4@MXene and Fe3O4@MXene/rGO/PANI nanomaterial were recorded and are shown in Fig. 1 (a-c). In the XRD pattern of Fe3O4, diffraction peaks indexed at 30.1°, 35.4°, 43.1°, 53.5° and 57.0° corresponds to the (220), (311), (400), (422), and (511) diffraction planes of Fe3O4 and these diffraction peaks are matched well with the JCPDS Card 19–0629 of Fe3O4 [36]. This confirms the presence of cubic spinal structure of nanoparticles. Additionally, there are no additional peaks of FeO and Fe2O3, which indicated the high purity of synthesized nanoparticles. XRD pattern of Fe3O4 showed sharp and strong peaks indicating its high crystallinity. MXene synthesized from MAX phase showed its peaks at 6.2°, 19.1°◦, 28.94°, 36.75°, 41.69°, 48.32° [37]. In the case of RGO, the diffraction peaks at 25.1° correspond to the (002) plane of rGO [35]. The additional peaks in the composite at 2θ = 13.5°, 19.6°, 25.1° corresponds to (011), (020), (200) planes of PANI, match with JCPDS card no (04-011-8282) [38] respectively. This shows the presence of semicrystalline peaks of PANI and its emeraldine salt. In addition to this, signal of rGO corresponds to (002) plane disappeared in the nanocomposite and diffraction planes of individual components also merged which demonstrated good interfacial interaction between rGO, Fe3O4, MXene and PANI.
3.1.2. FTIR studies
The FT-IR spectra indicated the active functional groups presence in the Fe3O4 nanoparticles, MXene, rGO and PANI. In Fig. 2, the intense band at 600 cm− 1 is allocated to the Fe-O stretching mode. Two characteristic bands at 1105 and 550 cm− 1 attributed to Ti-C and Ti-F for Ti3C2Tx. While the wide band in the range from 3600 to 3300 cm− 1 is ascribed to OH and NH stretching modes, observed due to uncondensed amino groups and adsorbed H2O. The typical peak of rGO is perceived at 1621 cm− 1 which indicates the appearance of -C = C- matrix of graphene attained after the conversion of GO into rGO [35]. In composite, the several bands of PANI appeared at 788 cm− 1, 920 cm− 1 and 1123, 1490 cm− 1, 1335 cm− 1, 1630 cm− 1 and 3360 cm− 1 related to CH and NH stretching modes, benzoid ring and NH2 bending modes. While, the bands at 1630 and 1490 cm− 1 assigned to C = C benzoid ring and C = N quinoid stretching modes. The bands at 1630 and 1123 cm− 1 are corresponds to C–N stretching modes and 788 cm− 1 is related to C–H out of plane deformation [33]. All these bands stated the successful incorporation of precursors (Fe3O4, rGO, MXene and PANI).
3.1.3. SEM studies
The formation of Fe3O4 NPs doped MXene sheets was also confirmed from SEM analysis. The SEM result clearly shows the presence of Fe3O4 NPs into MXene sheets (Fig. 3). The structure of MXene with more spacing between the sheets is also seen which confirmed the formation of MXene sheets from MAX powder.
3.2. Electrochemical analysis of OR II and RB
3.2.1. Characterization of Fe3O4@MXene/rGO/PANI/GCE by EIS, CV and CC
The electrochemical features of bare GCE and four modified electrodes were documented in [Fe(CN)6]3−/4− redox couple by CV, EIS and CC. Figure 4 (a) displays the CV plots of bare, Fe3O4, rGO, Fe3O4@MXene and Fe3O4@MXene/rGO/PANI modified GCE obtained in [Fe(CN)6]3−/4−. On all electrodes, well-defined redox peaks are seen. Among all electrodes, Fe3O4@MXene/rGO/PANI/GCE exposed higher current response and smaller potential difference. This could be due to the synergic effect between MXene, rGO, polyaniline and iron oxide NPs. The active surface area of the bare, Fe3O4, rGO, Fe3O4@MXene and Fe3O4@MXene/rGO/PANI electrodes was evaluated by the Randles– Sevcik equation [33].
Ip =2.69×105n3/2AC0D1/2v1/2 (1)
Herein, I is the peak current, n denotes number of electron transfer, A is the active area, D is the diffusion coefficient, C-concentration of the redox probe, and v is the scan rate. The effective surface areas were calculated to be 0.45 cm2, 0.70 cm2, 0.83 cm2, 0.85 cm2, 1.02 cm2 for bare GCE, Fe3O4, rGO, Fe3O4@MXene and Fe3O4@MXene/rGO/PANI GCE’s.
EIS is an effective technique used to study the charge transfer properties of different electrodes. Figure 4b. displays the EIS plots of bare, Fe3O4, rGO, Fe3O4@MXene and Fe3O4@MXene/rGO/PANI GCE’s recorded in [Fe(CN)6]3−/4−. Bare GCE offered highest resistance as compared to other studied electrodes which is due to the poor electron transfer kinetics between electrode and electrolyte. The Fe3O4@MXene/rGO/PANI/GCE revealed lowest resistance making it suitable for sensing applications. The excellent electrochemical properties of the Fe3O4@MXene/rGO/PANI electrode is due to the good electronic path provided by the combination of MXene, rGO and Fe3O4 and PANI. The heterogeneous rate constant ko of bare GCE and four modified GC electrodes was calculated via following equation [39];
Rct = RT/ (nF)2AkoCo (2)
Where Rct and R represenst charge transfer resistance and ideal gas constant. F, T and n shows the faraday constant, temperature and number of electrons transferred. A denotes to the surface area of working electrode and Co is bulk concentration. The obtained ko values were 0.56 × 10− 4 cms− 1, 0.83× 10− 3 cms− 1, 0.87× 10− 3 cms− 1, 0.95 × 10− 3 cms− 1, 1.1 × 10− 3 cms− 1, for bare GCE, Fe3O4, rGO, Fe3O4@MXene and Fe3O4@MXene/rGO/PANI GCE’s respectively. The highest value of rate constant was achieved for Fe3O4@MXene/rGO/PANI electrode which indicated the fast electron kinetics between the interface of Fe3O4@MXene/rGO/PANI and [Fe(CN)6]3−/4.
Chronocoulometry (CC) is another electroanalytical technique that can be used to find the active surface area of studied electrodes. CC was employed using [Fe(CN)6]3−/4 as redox couple and obtained results are shown in Fig. 4c. The Q-t1/2 plots of all studied electrodes were depicted in Fig. 4d. The effective surface area of bare and Fe3O4, rGO, Fe3O4@MXene and Fe3O4@MXene/rGO/PANI GCE’s were calculated using Anson equation [40]
Q(t) = 2nFAcD1/2t1/2/π1/2 + Qad + Qdl (3)
where A, n, c and D refers to effective surface area, number of electrons transferred, conc. of [Fe(CN)6]3− /4− redox couple, and diffusion coefficient. While Qdl and Qads shows the charge transfer via electric double layer and adsorption. The effective surface area of bare and Fe3O4, rGO, Fe3O4@MXene and Fe3O4@MXene/rGO/PANI GCE’s comes out to be 0.26, 0.45, 0.56, 0.70 and 0.89 cm2. Among all studied electrodes, Fe3O4@MXene/rGO/PANI/GCE displayed the higher surface area. These results demonstrated that the synthesized nanocomposite could be used as sensing platform for the sensing of food dyes.
3.2.2. Optimization of Experimental Parameters
DPV offers high selectivity and sensitivity towards electrochemical analysis of toxic compounds. Therefore, DPV was utilized to optimize several experimental factors to have best sensing response of dyes on the modified electrode. These factors include supporting electrolyte, volume of the modifier, and pH of the solution, deposition time and potential.
Electrolyte plays an important role in attaining a well-defined peak of analyte. It affects the peak shape, potential, and intensity. For this, the analytes (Orange II and RB dyes) were analyzed in a various supporting electrolytes including Acetate Buffer (pH = 7), Britton Robinson Buffer (pH = 7), and Phosphate Buffer (pH = 7) and obtained results are shown in Fig. 5(a). The best signals were obtained in Briton Robinson buffer because it offers high peak current and well-defined peak shapes as compared to others electrolytes. Thus, BRB was chosen as the supporting electrolyte for further study.
The effect of various amounts of the synthesized nanocomposite on electrode surface was assessed by loading different amounts of Fe3O4@MXene/rGO/PANI on the GCE surface and results are shown in Fig. 5b. The highest response was perceived for 5µL coating of nanocomposite onto the electrode surface. The decline in peak signals for higher volumes could be due to the formation of thick film of nanocomposite on the electrode surface which restricts the conductivity and mass transfer. Hence, 5µL drop of Fe3O4@MXene/rGO/PANI suspension (1.0 mg mL− 1) was used for modification of GCE.
Deposition potential is another vital factor that affects the sensitivity and selectivity in detection of dyes. Therefore, effect of deposition potential was obtained in a range from 0 to 0.4 V in BRB of pH 7. It is seen from Fig. 5c, peak currents of the analytes were increased with the increase of deposition potential and maximum current response was achieved at 0.2 V which shows the availability of the active sites for the deposition of analytes on the electrode surface. After 0.2 V, the peak current declined with the increase of potential which may be due to the saturation of active sites. Hence, the deposition potential 0.2 V was chosen for further investigation.
Deposition time has a major influence on the electroanalytical detection of compounds. For this, the effect of deposition time from 30 s to 210 s was studied to record the resultant response of analytes via DPV (Fig. 5d). Firstly, increase in peak current was observed and maximum current is achieved at 150 s. Beyond 150 s, current response of dyes on modified electrode was decreased which could be due to saturation of active sites. Therefore, considering both sensitivity and working efficiency, a deposition time of 150 s was selected for further investigations of dyes. Whereas the analytical data of different supporting electrolytes, loading amount of modifiers, potential and time on the current response of OR II and RB are shown as Fig. S1-S4.
pH of the electrolyte might have major effect on the oxidation-reduction process, when protons are involved. Thus, it is essential to select a suitable pH value of electrolyte for the detection and identification of compounds. Hence, the effect of pH was inspected on Fe3O4@MXene/rGO/ PANI/GC electrode in BRB buffer in a range from 4.0–8.0 for the determination of dyes. Figure 6 (a) displays the oxidation current signals at different pH values. The results exhibited that the oxidation peak signals increased gradually with increase in pH values and offered highest current signal at pH 7 and after that peak current signals decreased. The oxidation peak signals verses pH values are displayed in Fig. 6 (b). The results showed that the peak potentials were shifted toward more negative value with an increase in pH. This shift in peak potential is indicated the proton participation in the electron-transfer reaction. At low pH values, adsorption of azo dyes on Fe3O4@MXene/rGO/PANI modified electrode surface is linked to the involvement of protons on oxidation process. Whereas, the decline in peak currents at high pH is associated to the anion formation which prevents adsorption of dyes on modified GCE. Thus, pH value of 7.0 is chosen for further study.
3.2.3. Simultaneous detection of OR II and RB
Differential pulse voltammetry was utilized to examine the mixture of OR II and RB at bare, Fe3O4, rGO, Fe3O4@MXene, and Fe3O4@MXene/rGO/PANI GCE’s electrodes. Figure 7 shows the resultant voltammograms of these dyes and two oxidation peaks are appeared. OR II and RB peaks observed at 0.67 V and 0.85 V. A weak signal was seen at bare GCE. Compared to the bare electrode, the Fe3O4 modified GCE displayed a rise in peak current. While the reduced graphene oxide modified GCE offered higher current intensity in comparison to iron oxide modified electrode which is due to high surface area of rGO. The addition of Fe3O4 into MXene sheets significantly enhanced the peak currents of both dyes. The Fe3O4@MXene/rGO/PANI electrode offered the highest current response for identifying OR II and RB dyes. This improvement in current signal might be combined effect of the imine (= N-) and amine (-NH-) functional groups of polyaniline, in addition to the increased surface area of Fe3O4 and conductive path provided by MXene sheets and rGO.
3.2.4. Analytical performance of the designed Sensor
DPV was studied to inspect the limit of detection dyes (OR II and RB) under optimized experimental conditions. Figure 8(a) shows the DPV curves of the various concentration of targeted analytes which revealed that the peak currents are strongly depends on the concentration of the analytes. While Fig. 8(b-c) shows the linear calibration curve recorded for various concentrations of OR II and RB dyes from 1 to 0.005 µM. From calibrated plots, detection limits were calculated by IUPAC guidelines and found to be 0.56 and 0.42 for OR II and RB. The designed sensor exhibited good sensitivity for quantifying targeted dyes. This was due to polyaniline functionalities such as (-NH, =N-) with a large surface area of Fe3O4@MXene/rGO. The detection limits of our designed sensor are compared with already stated sensors as depicted in Table 1.
Table 1
Comparison of LOD of present sensor with already reported sensors.
Analyte | Electrode | Limit of detection/ (nM) | Reference |
RB | Cu-carbon sphere | 100 | [41] |
RB | GCE | 6.1 | [42] |
RB | SPZP/NAFa | 4.3 | [43] |
OR II | PSS/Gb | 10 | [44] |
OR II | Fe2O3/MWCNTs-COOH/OP/CPEc | 100 | [45] |
OR II | ZnO/NH2-fMWCNTsd | 0.57 | [1] |
OR II | Fe3O4@MXene/rGO/PANI | 0.56 | This Work |
RB | Fe3O4@MXene/rGO/PANI | 0.42 | This Work |
a silica-pillared zirconium phosphate/nafion composite |
b poly(sodium p-styrenesulfonate)-functionalized graphenemodifed glassy carbon electrode |
cFe2O3 nano-materials/oxygen functionalized multi-walled carbon nanotubes/triton X-100 |
fied carbon paste electrode |
dzinc oxide nanoparticles /amino group functionalized MWCNT |
3.2.5. Estimation of the Stability of the Designed Sensor
The stability of the designed sensor was assessed in terms of its reproducibility and repeatability. Under optimized conditions, sensor’s stability was evaluated in the presence of OR II and RB dyes via electrochemical methods. For determining the stability, eight differential pulse voltammograms were recorded on Fe3O4@MXene/rGO/PANI/GCE in BRB solution of pH 7 (Fig. S5). A minor change in the current intensity was seen which suggested that the designed sensor exhibited good stability. To confirm that the reliability of the designed sensor, six independent Fe3O4@MXene/rGO/PANI/GCEs were developed via similar procedure (Fig. S6). No significant deviation in the terms of current signal was observed as seen from Fig. 9 (a-b). The relative standard deviation values for both reproducibility and stability were calculated and had value less than 5%, which showed that the designed sensor is very precise and stable.
3.2.6. Validation of the Designed Sensor
Due to the existence of the various inorganic and organic species in the water, sensitive and selective identification of dyes is a major challenge. The effect of interfering species on current signal of targeted analytes depends upon on their redox potential as well as their interaction with the nanomaterial on electrode surface. Therefore, effect of interfering species on the current signal of food dyes (OR II and RB) were established using 50-fold higher concentration of various interfering species comprising Na1+, K1+, Cl1−, NO31− glycine, 4-NP. The obtained results of designed sensor in the presence and absence of interfering species are displayed in Fig. 10 (a & b). It is observed that the current signals of both OR II and RB on Fe3O4@MXene/rGO/PANI/GCE were not much affected by the presence of interfering agents. Hence, the designed senor possessed excellent anti-interference ability.
3.2.7. Real Sample applicability of the designed sensor
To test the practical application of the designed senor, amount of OR II and RB are determined in tap water, drinking water and fruit juice via standard addition method. Initially, OR II an RB were not found in real samples. Then, known amount of these dyes were added by standard addition method and their responses were recorded via DPV. The obtained results of the detected recoveries and RSD are listed in Table 2 which showed that designed senor have demonstrated good sensitivity towards these dyes.
Table 2
Detection of OR II and RB dyes in real samples.
Sample | Analyte | Spiked amount (µM) | Amount Found (µM) | Recovery (%) | RSD (%) |
Tap water | OR II | 1.0 | 0.98 | 98 | 1.43 |
RB | 1.0 | 0.97 | 97 | 2.15 |
Drinking Water | OR II | 1.0 | 0.97 | 97 | 2.15 |
RB | 1.0 | 0.96 | 97 | 2.15 |
Fruit Juice | OR II | 1.0 | 0.99 | 99 | 0.71 |
RB | 1.0 | 0.98 | 98 | 1.43 |