Introduction

Dopamine is a key neurotransmitter that is present in the mammalian central nervous system and participates significantly in the activity of the hormonal, renal, cardiovascular and central nervous systems. It is responsible for communication of electrical signals between substantia nigra and various brain tissues. Additionally, it also helps to control hormonal balance and emotions. However, the abnormality in dopaminergic neurotransmission system results in various neurological diseases like schizophrenia, [1], Parkinson’s disease [2], human immunodeficiency virus (HIV) infection [3] and Huntington’s disease [4]. Consequently, quantitative determination of DA is very important. But various physiological biomolecules coexist with DA in a very high concentration in a biological system. Therefore, quantitative determination with good selectivity of DA is extremely important for the diagnosis and pathological understanding of several neurological diseases. For ex-vivo determination of DA, several techniques have been developed that includes: mass spectrometry [5], flow injection chemiluminescence fluorescence [6], surface enhanced Raman scattering [7], chromatography [8] optical absorption spectrophotometry [9] and micro dialysis [10]. But these analytical techniques suffer from the limitations of expensive instrumentation, large sample volumes, time consuming analysis and use of non-green solvents. On the other hand, electrochemical methods are considered to be the best owing to their superior advantages like low cost, facile operation, high sensitivity with good selectivity, rapid response, reliability and reproducibility [11]. Since DA is a highly electroactive biomolecule, so electrochemical techniques are highly preferred for its quantitative determination. The main obstruction in the sensitive detection of DA level is the coexisting interfering biomolecules like ascorbic acid (AA) and uric acid (UA) in very high concentrations in biological tissues. These molecules have similar oxidation potential like DA, which makes electrochemical detection of DA more challengeable. In addition to this, the oxidation products of these molecules adsorb on the active sites of electrode which results in electrode fouling [12]. Consequently, the reproducibility and reusability of electrode decreases. Traditional unmodified electrodes are incapable to tackle these problems, which results in a poor performance. However, the surface modification of GCE plays significant role in enhancement of the performance of electrode in terms of sensitivity and selectivity [13]. Several materials have been investigated, which include conducting polymer based nanocomposites [14], metal, metal oxide nanoparticles [15, 16] and carbon based nanostructures [17] for the chemical modification of electrode to enhance the performance of the electrodes.

Noble metal/transition metal oxide nanoparticles embarked new era in the field of catalysis. Noble metals including Au, Pt, Pd and Ag proved themselves as an excellent candidate for various electrochemical and catalytic applications due to their marvelous electronic and electrocatalytic properties [18]. But their high price and scarcity hinders in commercializing them in a broad scope of applications. Hence, transition metal oxide nanoparticles attracted great attention owing to their low cost, unique structures and morphologies, tunable dimension sizes and abundance in nature. In the family of various transition metal oxides, cobalt oxide (Co3O4) breathed new life in the field of nanomaterials as a promising catalyst [19]. It is a P-type semiconductor with spinal structure bearing both direct and indirect band gap. Moreover, Co3O4 crystal consists of unique structure having magnetic Co2+ and non-magnetic Co3+ occupying tetrahedral and octahedral sites respectively, in the crystal [20]. These polar sites of Co3O4 crystal can play vital role in the catalytic activity, especially facilitating rapid charge transfer kinetics on the surface of the electrode. The high aspect ratio, unique crystal structure together with diverse morphologies make it as an ideal candidate for electrocatalytic applications. Due to these distinct characteristics, unaided Co3O4 nanostructures have been reported for electrocatalytic applications [21]. But the hybridizing the Co3O4 nanoparticles with conducting polymers and carbon based materials can significantly enhance the performance by improving the effective electrochemical surface area and reducing the charge transfer resistance. Recent reports unveil the potential of Co3O4 nanostructures supported on carbon based materials for energy conversion [22], energy storage [23] and electrochemical sensing applications [24].

Among carbon based materials, MWCNTs are highly active for electrochemical activities by virtue of their unique electronic structure. Owing to unique hollow structure, high porosity, enhanced electrochemical surface area and ballistic conductivity, MWCNT can serve as an excellent platform and efficient electron promoter for metal oxide nanostructures, especially in electrochemical sensing applications [25,26,27]. MWCNTs have great potential for electrochemical applications [28, 29]. Hence, by integrating Co3O4 with MWCNT can produce a synergistic effect which will result in superior route for electrochemical sensing applications.

In view of the above facts, herein we reported Co3O4 nanocubes integrated with MWCNT as a sensing interface for electrochemical detection of DA. There is no report available in the literature on the study of MWCNT decorated with Co3O4 nanocubes for the electrochemical sensing of DA. A one step hydrothermal route is used for the synthesis of MWCNT─Co3O4 nanocomposite. Hydrothermal route was preferred by virtue of its simplicity and choice of tuning various synthesis parameters (pH, temperature, time and concentration of regents or precursors). The appropriate amount of powdered reagents together with solvent can be put in a Teflon-lined autoclave and heated from room to elevated temperature and pressure for a fixed time. The electrolyte thermodynamics allows us in predicting optimum reaction conditions. The MWCNT─Co3O4 nanocomposite modified glassy carbon electrode (GCE) was used to investigate the electrocatalytic performance of fabricated nanocomposite. The cyclic voltammetric (CV) and amperometric results revealed that the MWCNT─Co3O4 nanocomposite is highly electroactive towards the oxidation of DA, even in the presence of physiological interfering species. The fabricated nanocomposite demonstrated superior performance in terms of low detection limit, high sensitivity and selectivity during the oxidation of DA.

Experimental

Materials

MWCNT (Outer diameter 10–15 nm and length, 1 μm) were obtained from Beytube Germany. Uric acid (UA), ascorbic acid (AA), Glucose, DA, cobalt acetate tetra hydrate (Co (CH3COO) 2 .4H2O), Urea (CH4N2O), KCl and Fe(CN)6 4−/3− of analytical grade were purchased from Sigma Aldrich (http://www.sigmaaldrich.com/malaysia.html). Concentrated sulphuric acid (H2SO4, 98%), hydrochloric acid (HCl, 35%) and ammonia solution (NH3, 25%) were purchased from Merck (http://www.merck.com/index.html). Deionized (DI) water was used throughout the experiments to prepare the solutions.

Preparation of MWCNT─Co3O4 nanocomposite

MWCNT─Co3O4 nanocomposite were synthesized by single step hydrothermal reaction. Before synthesis, MWCNT were functionalized by acid treatment. Appropriate amount of MWCNT powder was added in a mixture of 3:1 sulphuric/nitric acid (V:V) and stirred using magnetic stirrer for one hour. After this, mixture was sonicated for 6 h at room temperature followed by washing with DI water until pH reached to 7. The treated MWCNT were dried overnight at 50 °C in a vacuum oven. The acid treatment of MWCNT was done in order to increase their dispersion in water by functionalizing them with electronegative functional groups and removal of amorphous carbon as well as metal residue [30]. Later, 1 mM of Co (CH3COO) 2 4H2O was dissolved in 45 mL DI water. Then, 15 mL of ammonia (6%) was added dropwise with a rate of 1 mLmin−1 in above solution and the mixture was kept under vigorous stirring for one hour. At last, a solution containing MWCNT (4 wt.% (10 mg) in 15 mL) was added under bath sonication for 15 min and the resultant mixture was sealed in a stainless steel autoclave followed by hydrothermal reaction for 5 h at 150 °C. Finally, the precipitate of MWCNT─Co3O4 nanocomposite (designated as C1) was washed several times with deionized water and ethanol by centrifugation and dried at 60 °C in a hot air oven. Same experiments were repeated for the synthesis of Co3O4 nanocubes, C2, C3, C4 and C5 by using 0, 8 (20 mg), 12 (30 mg), 16 (40 mg), and 20 wt.% (50 mg) of MWCNT respectively.

Electrochemical measurements

Electrochemical measurements were carried out on multi-channel Autolab (PGSTAT30) potentiostat workstation with conventional three electrode configuration. The MWCNT─Co3O4 nanocomposite modified GCE served as a working electrode, Ag/AgCl (3 M KCl) and platinum wire were used as reference and counter electrodes respectively. The electrochemical active surface area (ECSA) of all composites was calculated by running CVs of modified electrodes in 1 mM Fe(CN)6 4−/3− solution containing 0.1 M KCl at different scan rates (v) in standard three electrode cell system according to Randles-Sevcik eq. [31]. The surface of GCE was modified by dissolving catalyst powder in DI water (1 mg/ml) and drop coating 5 μL of the catalyst ink on the surface of GCE (diameter = 3 mm) which was subsequently dried at room temperature for one hour. Prior to every modification, GCE was cleaned electrochemically by potential cycling in 0.5 M H2SO4 using potential window between −1 to +1 V, followed by polishing with 1.0 μM and 0.3 μM alumina slurry. Phosphate buffer with neutral pH (7.2) was used as an electrolyte.

Preparation of real samples

In order to evaluate the performance of synthesized nanocomposite, analytical determination of DA in two urine samples was performed using the standard addition method. For this, two fresh urine samples from two healthy males were chosen as biological samples. The collected samples were filtered and stored at 4 °C immediately after collection. For further measurements, these samples were diluted 50 folds in 0.1 M Phosphate buffer (pH ~ 7.2).

Instrumentation

A JEOL JSM-7600F field emission scattering electron microscopy (FESEM) fitted with energy dispersive X-ray (EDX) and elemental mapping was employed to analyze the surface morphology and elemental mapping together with the EDX spectrum. High resolution transmission electron microscopy (HRTEM) micro images were taken by JEOL JEM-2100F in order to determine particle size distributions. Raman spectra were recorded using the Renishaw inVia 2000 system green laser emitting at 514 nm. The structural crystallinity of MWCNT─Co3O4 nanocomposite was studied using Philips X’pert X-ray diffractometer (XRD) with copper Kα radiation (λ = 1.5418 nm) at a scan rate of 0.02 degree per second. The surface chemistry and the composition of prepared composite was studied by X-ray photoelectron spectroscopy (XPS) analysis by using PHI 5000 Versa Probe Scanning ESCA Microprobe (PHI 5000 Versa Probe II, USA), fitted with monochromatic Al-Kα (hν = 1486.6 eV) X-ray source.

Results and discussion

Surface morphology and microstructure analysis

HRTEM and FESEM micro images were taken to investigate microstructure and the surface morphology of the synthesized hybrid. Fig. 1 shows the HRTEM images of Co3O4 nanocubes, MWCNTs and MWCNT─Co3O4 nanocomposite. From Fig. 1a and b, sharp and well defined cubical structured Co3O4 nanoparticle with an average particle size of 32.5 nm are evident. Fig. 1a (inset) shows the distance between adjacent planes is 0.47 nm, corresponding to the inter-planar spacing of (111) plane of Co3O4 [32]. On the other hand, lose and unbundled acid treated MWCNT with broader length distributions are shown in Fig. 1c. The spread MWCNT were due to the electrostatic repulsion of electronegative functional groups on the surface of MWCNTs, which avoid them from bundling. During hydrothermal reaction, MWCNTs served as a platform for the growth of Co3O4 nanocubes. The functional groups on the cylindrical surface of MWCTNs served as nucleation sites for the growth. This resulted in uniform distribution of Co3O4 nanocubes, which leads in the enhancement of electrochemical surface area (Fig. 1d). Moreover, the average particle size (32 nm) remained the same in the composite (Fig. 1e). The selected area electron diffraction (SAED) pattern of MWCNT─Co3O4 nanocomposite displayed six strong lattice fringes (2 2 0), (3 1 1), (4 0 0), (4 2 2), (5 1 1) and (4 4 0) correspond to the characteristic peaks of face centered cubic structured of Co3O4 demonstrated by XRD (Fig. S1b).

Fig. 1
figure 1

HRTEM images of (a) MWCNTCo3O4 nanocomposite (inset: lattice fringes), (b) particle size distribution of Co3O4 nanocubes (for total 500 particles), (c) acid treated MWCNT, (d) MWCNTCo3O4 nanocomposite (C4), (e) particle size distribution of Co3O4 in composite MWCNTCo3O4 and (f) SAED pattern of MWCNTCo3O4 nanocomposite

The surface morphology of synthesized nanocomposite was also confirmed by FESEM images (Fig. S2). Highly aggregated Co3O4 nanocubes were observed in Fig. S2a, b in the absence of MWCNT. However, upon addition of MWCNT, these aggregations were significantly decreased resulting highly exposed and well decorated Co3O4 nanocubes, which is shown in Fig. S2c, d.

The elemental distribution and purity of MWCNT─Co3O4 nanocomposite was analyzed by EDX elemental mapping (Fig. S4). The EDX spectrum shown in Fig. S4a (inset) displays the prominent peaks of cobalt, oxygen, carbon and silicon (arose from the substrate) without showing impurity peak. Fig. S4a shows the FESEM image of nanocomposite used for EDX elemental mapping. The independent elemental Co, O and C distributions are shown in Fig. S4b, c, d respectively, which display a uniform distribution of all elements. High density of red (Fig. S4b) and blue (S4d) dots are evidence of increased amounts of Co and C in the MWCNT─Co3O4 nanocomposite. Moreover, the combined elemental distribution shown in Fig. S4e depicts the homogeneous distribution of all color dots indicating the uniform decoration of Co3O4 nanocubes on MWCNTs.

XPS analysis

XPS analysis was performed to investigate the chemical composition and binding states of MWCNT─Co3O4 nanocomposite (Fig. 2). All binding energies found through XPS spectra were calibrated first using the C1s photoelectron peak at 284.8 eV as the reference. The survey scan spectrum of MWCNT─Co3O4 nanocomposite shown in Fig. 2a displayed the sharp and well defined peaks at 284.6, 530.1 and 779.8 eV corresponding to the characteristic peaks of C 1 s, Co 2p and O 1 s respectively. The core level deconvoluted spectrum of C 1 s in Fig. 2b consist of four peaks having binding energies at 284.6, 285.4, 288.6 and 289.0 eV. The peaks at 284.6 and 285.4 eV correspond to the non-oxygenated sp2 (C = C) and sp3 (C ̶ C) hybridized carbon, while the peaks at 288.6 and 289.0 eV are attributed to the presence of carbon in carbonyls (HO-C = O) and carboxyl (HO-C = O) functional groups [33, 34]. Fig. 2c depicts the high resolution spectrum of Co, containing two major peaks of binding energies at 780.6 and 795.5 eV correspond to the 2p3/2 and 2p1/2 respectively. The gap between two peaks is about 15 eV with the peak intensity ratio (2p3/2: 2p1/2) of 2:1, which are the typical characteristic of standard of Co3O4 spectrum [35]. In addition to this, weak shake-up satellite peak at 786.9 eV is observed which confirmed the existence of Co2+ in the composite [36]. The core level spectrum of O 1 s is resolved into four Gaussian peaks at 529.7, 530.1, 531.6 and 533.3 eV (Fig. 2d). The peak at 529.7 eV is ascribed to the lattice oxygen of Co3O4. The other three peaks at higher binding energy values of 530.1, 531.6 and 533.3 eV are associated to the oxygen in cobalt monoxide hydroxide ions, oxygen containing bonds (C-O/C = O) and water contents adsorbed on the surface of Co3O4 [37, 38].

Fig. 2
figure 2

a Survey spectrum of the MWCNTCo3O4 nanocomposite (C4), b high resolution spectrum of the C 1 s region, c high resolution spectrum of the Co 2p region and d high-resolution spectrum of the O 1 s region

Electrocatalytic performance of MWCNT─Co3O4 nanocomposite

DA is highly electroactive in nature, so upon application of electric potential it easily gets oxidized to dopamine quinone (DAQ) by liberating electrons. A schematic illustration of the redox behavior of DA at the MWCNT─Co3O4 nanocomposite modified GCE is portrayed in Fig. 3a. During forward potential sweep, DA is oxidized to DAQ by releasing two electrons at modified electrode surface, while on reverse potential sweep DAQ is reduced back to DA. This exchange of electrons at modified electrode surface produce Faradic current. The charge transfer kinetics and electrocatalytic behavior of the sensors were examined by recording cyclic voltammograms (CV) responses in 0.1 M Phosphate buffer (pH ~ 7.2) at scan rate of 50 mVs−1 in the presence of 0.5 mM DA. Fig. 3b shows the CVs of GCE modified with synthesized nanocomposites. Well defined redox peaks with anodic (Eap) and cathodic (Ecp) peak at 210 and 40 mV respectively, with peak difference (∆E) of 170 mV were shown by GCE. But upon modification of GCE with Co3O4 nanocubes, the peak potentials shifted to lower values leading to decrease in ∆E (150 mV) with improved redox peak current.

Fig. 3
figure 3

a Schematic representation of electroxidation of DA at MWCNTCo3O4 nanocomposite modified GCE. b CV curves for bare GCE, Co3O4 nanocubes, C1, C2, C3, C4 and C5 nanocomposite modified GCE for 0.5 mM DA in 0.1 M Phosphate buffer (pH ~ 7.2) at a scan rate of 50 mV s −1, c CV curve of the rGOCo3O4 nanocomposite modified GCE with the successive addition of different concentrations of DA, d Plot of anodic peak current vs molar concentration of DA

This confirmed the good catalytic activity of Co3O4 modified GCE towards DA. However, C1 modified GCE displayed noticeable shift in peak potentials to the low potentials with substantial enhancement in the current. The shift in peak potentials to the lower values can be attributed to the introduction of MWCNT to Co3O4 nanocubes, which acted as highly conductive wires facilitating fast charge transfer kinetics. In addition, MWCNT efficiently reduced the particle aggregations leading to the increase in effective electrochemical surface area resulting in the improvement of redox peak currents. Further improvement in redox peak currents together with shift in peak potentials to the lower potential was observed for C2, C3 and C4 modified GCE. But in case of C5, redox peak currents decreased significantly without any shift in peak potentials.

It is obvious that MWCNT─Co3O4 nanocomposite exhibit enhanced catalytic activity towards the electroxidation of DA compared to bare GCE and unsupported Co3O4 nanocubes. This revealed that MWCNT in the composite MWCNT─Co3O4 played a vital role during electrocatalytic activity by providing conducting platform which accelerated charge transport kinematics. Improved electrocatalytic response was observed for C4 modified GCE in terms of oxidation current and peak potential. It exhibited 4.3 fold higher peak oxidation current with very small peak difference (∆E ~ 37 mV) compared to bare GCE. However, in the absence of DA, C4 modified GCE did not give any current response (Fig. S5). The poor electrocatalytic response of C1, C2 and C3 was due to the high aggregations of Co3O4 nanocubes, as the contents of MWCNT were insufficient for their uniform growth (Fig. S3a, b, c). Ultimately, the less faces of cubes were exposed to the electrolyte resulting decrease in the electrochemical surface area. However, less exposure of Co3O4 nanocubes in C5 due to higher contents of MWCNT which covered most of the cubes lead to the low catalytic response of C5 (Fig. S3d). The electrochemical surface measurement also revealed that C4 modified electrode possess enhanced electrochemical surface area (Table S1), which is in good agreement with current CV results. Thus, C4 was considered optimized composite for further studies.

The effect of scan rate on the electrocatalytic response of MWCNT─Co3O4 nanocomposite modified GCE towards DA oxidation was studied at different scan rate (from 10 to 225 mVs−1) in 0.1 M Phosphate buffer (pH ~ 7.2) as background electrolyte (in the presence of 0.5 mM DA) using CV. Fig. S6a depicts well defined redox peaks, which were enhanced with increasing scan rate. Both anodic (Iap) and cathodic (Icp) peak currents were increased linearly with increase in slight shift in peak potentials. The calibration plot (Fig. S6b) of Iap and Icp with different scan rate showed a linear correlation (R2 = 0.989 and 0.994), which confirmed that electron transfer reaction involved a surface-controlled process [39].

Fig. 3c shows the electrocatalytic responses of MWCNT─Co3O4 nanocomposite modified GCE at different molar concentrations of DA in 0.1 M of Phosphate buffer (pH ~ 7.2). Significantly, the oxidation peak current increased linearly with the addition of DA in the range of 0.5 to 5 mM and anodic peak potential underwent slightly positive shift (Fig. 3c). The plot of peak current (Ipa) and different of concentrations DA showed a linear plot with a slope value nearly equal to 1, which confirmed the electrochemical oxidation of DA follows the first order kinetics with respect to DA concentration at the C4 modified electrode (Fig. 3d).

Amperometric detection of DA at the MWCNT─Co3O4 nanocomposite modified GCE

The chrono-amperometric (CA) i-t curve technique is employed to detect the DA because it is a facile analytical technique which facilitates low concentration detection of analytes and is convenient to perform interference studies. In order to investigate the sensing capability of all modified electrodes, each electrode was run at a fixed potential (applied potentials were the peak potentials from Fig. 3b) in homogeneously stirred 0.1 M Phosphate buffer (pH ~ 7.2) for the successive addition of 0.5 mM DA at a regular time interval of 60 s. Fig. 4a displays the amperometric responses of the bare GCE and GCE modified with Co3O4 nanocubes, C1, C2, C3, C4, and C5. It is obvious, from Fig. 4a that each electrode gave current response upon injection of 0.5 mM of DA. However, C4 modified GCE gave the highest current response which affirms the excellent oxidation capability of C4 towards DA. The enhanced electrocatalytic performance of C4 is attributed to the highly exposed Co3O4 nanocubes on MWCNT which lead in the augmentation of effective electrochemical surface area. These results are in good agreement to the aforementioned results discussed in section 4. Moreover, the calibration plots for the current response versus concentration values ranging from 0.5 to 5 mM showed linear relationship for all modified electrodes (Fig. 4b).

Fig. 4
figure 4

a Amperometric i–t curves of bare GCE, Co3O4 nanocubes, C1, C2, C3, C4 and C5 modified GCE for the successive addition of 0.5 mM of DA in 0.1 M Phosphate buffer (pH ~ 7.2) at a regular interval of 60 s, (b) corresponding calibration plots of current versus concentration of DA. Applied potentials were the peak potentials from Fig. 4b, c Amperometric i–t curve of MWCNTCo3O4 nanocomposite (C4) modified GCE for the successive addition of 1 mM DA in 0.1 M Phosphate buffer (pH 7.2) at an applied potential of +0.13 V with a regular interval of 60 s and (d) corresponding calibration plots of current versus concentration of DA

In order to calculate the limit of detection (LOD), repeated measurements were performed at low concentrations for C4 modified GCE. Fig. 4c depicts the amperometric response curve for MWCNT─Co3O4 nanocomposite (C4) modified GCE for the successive addition of DA with different concentrations in 0.1 M phosphate buffer (pH ~ 7.2) at an applied potential of +0.13 V. First, twenty spikes of 1 μM and then twenty spikes of 2 μM of DA were used to record the current. Upon each injection of DA with a sample interval of 60 s, C4 modified GCE gave significant current response. Fig. 4d shows the calibration plot of amperometric current response at different concentrations of DA. It is noticeable that calibration plot displayed two separate linear segments corresponding to the two different concentration ranges of DA. The first linear segment of calibration plot corresponds to the first concentration range of DA from 1 to 20 μM (20 injections with each injection of 1 μM) with a correlation coefficient of 0.992 (n = 20). The second linear segment is attributed to the second concentration range of DA from 20 to 60 (20 injections with each injection of 2 μM) with a correlation coefficient of 0.988 (n = 20). The current response was decreased even at higher concentrations of DA due to kinetic limitations of C4 modified electrode. Hence lower range was used to estimate the performance parameters for the sensor [40]. The LOD and limit of quantification (LOQ) were estimated to be 0.176 μM and 0.573 μM respectively, by using the standard deviation (SD) of the y-intercepts and the slope of the regression lines of lower range (S), (LOD = 3.3(SD/S) and LOQ = 10(SD/S)) [41]. The sensitivity of modified electrode is found to be 0.151 μAμM−1. These results suggest that the fabricated MWCNT─Co3O4 nanocomposite sensor demonstrated enhance catalytic performance in terms of low LOD, wider linear range and good sensitivity towards DA detection. The comparison of the electrocatalytic performance of the MWCNT─Co3O4 nanocomposite modified GCE with some of the reported GCE based electrochemical sensors for the detection of DA is summarized in Table S2.

Interference studies

During electrochemical sensing of an analyte, it is important for the sensor to detect the target molecule selectively without producing any interfering current response. The ascorbic acid (AA) and uric acid (UA) are the two important interfering agents which coexist with DA. Therefore, it is very important to evaluate the detection capability of a DA sensor in the presence of AA and UA. The selectivity of the MWCNT─Co3O4 nanocomposite based sensor for the detection of DA was examined in the presence of different interferents like UA, AA, glucose, and urea by using CA. Usually, square wave voltammetry (SWV) and differential pules voltammetry (DPV) are employed to evaluate the selectivity of a DA in the presence of UA and AA. But in case of CA, the selectivity of DA can be evaluated even in the presence of higher number of potential interferents such as UA, AA, glucose, urea and NaCl etc. In addition to this, oxidation potential of DA is very close to AA and UA, so it is very difficult to get separate and well defined oxidation peaks for each analyte. However these problems are avoided in CA. Fig. 5 depicts the recorded amperometric i–t curve response for the consecutive additions of DA and interferents in a homogeneously stirred 0.1 M Phosphate buffer at a constant applied potential of +0.13 V. Three consecutive injections of DA (each of 0.5 mM) were used at the start and it was found that each injection gave significant current response. After this, UA, AA, glucose and urea were injected respectively, with the sample time of 60 s. However, no obvious increase in current response was observed for all interfering species except AA even at fifty fold higher concentration then DA. Compared to DA, only 12% current response was observed for AA which indicates that the signal of DA is much stronger compared to AA. These results revealed that the sensor possesses good selectivity towards the quantitative determination of DA even in the presence of common physiological interferents.

Fig. 5
figure 5

Amperometric i–t curve of MWCNTCo3O4 nanocomposite (C4) modified GCE for the successive addition of DA and interfering species each of 0.5 mM in 0.1 M PBS at a regular interval of 60 s. The applied potential was +0.13 V

Stability and reproducibility

In order to evaluate the performance and reliability of the sensor in real application, analytical determination of DA in two urine samples was performed using standard addition method. The analytical results were summarized in Table S3. To ascertain the accuracy of the results, different concentrations of DA were added in urine containing Phosphate buffer and detected. The recovery of spiked sample ranged between 99.1 to 104%, which is indication of the successful application of MWCNT─Co3O4 nanocomposite for the detection of DA.

For the stability study of the sensor, CV response of C1 modified GCE was recorded for DA in a range between −0.2 and 0.6 V at scan rate of 50 mV s−1. The CV response was recorded on after every two days for two weeks. The peak current was considered as a factor for indicating the stability of the modified electrode. Here, I is the current response of fresh sensor and I0 is the current response after storage as shown in Fig. S6. A 16.7% decrease in the anodic peak current with slight shift in peak potential was observed after two weeks. This revealed that C1 modified GCE can also withstand being stored in the solution for a period of time (two weeks) and the electrocatalytic performance remain almost unchanged, which confirms that modified electrode is very stable and reproducible for the detection of DA.

Additionally, operational stability of MWCNT─Co3O4 nanocomposite modified GCE was also evaluated by performing CA in 0.1 M Phosphate buffer containing 0.5 mM DA at a constant potential of +0.13 V for 2500 s. A very stable current response was observed and only 7.32% decay in the current was observed after 2500 s (Fig. S7). This confirms the excellent operational stability of modified GCE.

Conclusions

MWCNT─Co3O4 nanocomposite was successfully synthesized by hydrothermal method for the electrochemical detection of DA. The composition, crystallinity and phase purity was confirmed by XPS, Raman spectroscopy and XRD. FESEM and HRTEM images were obtained to confirm the integration of Co3O4 nanocubes with MWCNT. For electrocatalytic performance towards DA oxidation, the surface of GCE was modified with the synthesized nanocomposites. The CV results demonstrate that C4 modified GCE exhibited enhanced electrocatalytic performance in terms of oxidation potential and peak current in comparison to its counterpart electrodes. The excellent catalytic activity was due to the less aggregations of Co3O4 nanocubes which resulted in a high electrochemical surface area. The interference studies showed that C4 demonstrates promising recognition towards the detection of DA in the presence of different types of physiological interfering species. However, for AA a slight response was observed during selectivity studies. In addition, sensor also displayed satisfactory results in real samples. The electrochemical sensing results suggest that MWCNT─Co3O4 nanocomposite endow excellent catalytic activity with high stability and reproducibility. It provides great potentials for the practical detection DA in urine and blood samples.