Scheme 1 illustrates the typical synthetic process of Cu-Cu2O nanoplates and the electrochemical detection of DA. The Cu nanoplates were synthesized by Ag seed-assisted hydrothermal method in a water bath at 90 ℃ (Xu et al. 2022). Then the washed Cu nanoplates were injected into a NaOH aqueous solution and stirred at room temperature. The surface of Cu nanoplates started to be corroded under alkaline conditions and the Cu2O nanoplates were also produced simultaneously. Eventually, Cu-Cu2O nanoplates were synthesized successfully. Finally, the electrochemical detection of DA was performed at electrochemical workstation.
3.1 Characterization of Cu-Cu2O nanoplates
The morphologies and composition of Cu-Cu2O nanoplates were detected by SEM and XRD as shown in Fig. 1. Figure 1a shows the SEM image of Cu nanoplates, which has a smooth surface with a size between 1 and 15 µm. In comparison, Cu nanoplate is covered with a crossed array nanosheets (Fig. 1b). Furthermore, these nanosheets construct porous surface structures, which can effectively increase the ECSA. Figure 1(c, d, e) shows the HAADF-STEM elements mapping, Cu and O elements. It can be seen that O not only exists on the surface of Cu but whole region, and the EDS information in Figure S1 (Supporting Information) shows that a large amount of O exists in the Cu-Cu2O nanoplates, which indicates that a large amount of Cu2O obtained, rather than the oxidation of surface copper by oxygen in the air. Figure 1f shows the XRD patterns of Cu nanoplates before and after corrosion. The red XRD pattern shows only a stronger peak at 2θ of 43.40օ, which is contributed to facet (111) of Cu (Cubic, JCPDS No. 04-0836)(Devaraj et al. 2016; Xu et al. 2022; Yin et al. 2022), and the black XRD pattern shows a new peak at 2θ of 36.43օ, which is attributed to the facet (111) of Cu2O (Cubic, JCPDS No.05-0667)(Chen et al. 2015; Zhang et al. 2021). The characteristic Cu2O peak was found in the etched sample, which indicates that Cu-Cu2O nanoplates were synthesized successfully. Furthermore, Fig. 1g shows the XPS spectra of Cu 2p exhibits peaks at 932.9, 934.2, 952.5, and 954.1 eV, which are attributed to Cu 2p3/2 and Cu 2p1/2 peaks including metallic Cu and Cu(I) from Cu2O. The peaks at 932.9 and 952.5 eV are attributed to metallic Cu(0), while 934.2 and 954.1 eV are associated with the Cu(I) chemical state in Cu2O(Bai et al. 2018; Liu et al. 2022b; Wang et al. 2023a; Zhang et al. 2021; Zhong et al. 2019). The two satellite peaks are situated at 943.3 eV and 962.3 eV(Lyu et al. 2021; Yang et al. 2021a). The XPS results further indicate that Cu2O exists in the etched sample.
The effects of NaOH solution on the morphology and composition of Cu-Cu2O nanoplates were discussed in Fig. 2. Significant change was observed at the periphery of Cu nanoplates, with 0.1 M NaOH solution, where the small nanoplates were grown in situ (Fig. 2a), and the correlative XRD pattern in Fig. 2b shows a weak characteristic Cu2O peak. When the concentration increases to 0.3 M, the surface of Cu nanoplates is almost covered with more small nanosheets (Fig. 2c), which cross each to form a crossed array of nanosheet structures. The stronger intensity of Cu2O peak investigating that more Cu2O generated (Fig. 2d). When the 1.0 M concentration, the pore size becomes larger and the structure of nanoplates is damaged (Fig. 2e), which is attributed to terrible corrosion. Meanwhile, more Cu2O forming can be confirmed by the XRD pattern in Fig. 2f.
3.2 Electrochemical characterization of Cu-Cu2O nanoplates
The electrochemical oxidation reaction of DA on bare naked GC and Cu-Cu2O/GCE electrodes was measured by CV scanned in a saturated PBS solution (pH = 7.4) (Fig. 3a). The black and blue curves represent the GCE and Cu/GCE, respectively, which show a pair of redox peaks only in the Cu/GCE due to the chemical reaction of Cu (Gu et al. 2020; Li et al. 2018). By contrast, the green CV curves show a new oxidation peak at 0.245 V due to the electrocatalytic oxidation of DA(Devaraj et al. 2016). Compared with Cu/GCE, the response current of Cu-Cu2O/GCE to DA (red curve) increases by 6 times, which indicates that the addition of Cu2O can effectually enhance the electrocatalytic activity. Figures 3b and 3c show DPV curves and response currents of various Cu-Cu2O/GCE to investigate the influences of NaOH concentration. As a result, the Cu-Cu2O nanoplates obtained in 0.6 M solution show the best catalytic activity. Therefore, an appropriate amount of Cu2O can effectively enhance the electrocatalytic activity of Cu-Cu2O nanoplates. Furthermore, the kinetic characteristics of DA oxidation on Cu-Cu2O nanoplates were investigated. Figure 3d shows that the peak current values at a potential of 0.23V gradually increased with the scanning rate from 20 to 70 mV/s. A good linear relationship between the peak current value and scanning rate was obtained by using linear fitting (Fig. 3e) and expressed by Ipa = 477.15v1/2 + 41.37 (R2 = 0.9990), indicating that the electrocatalytic oxidation of DA on the surface of Cu-Cu2O/GC is a diffusion-control process(Devnani et al. 2019). In addition, the oxidation peak potential also gradually shifts to a positive direction and also has a linear relationship with the logarithm of the scanning rate (Fig. 3f), which can be described by the equation of Pox = 0.029lnv + 0.386 (R2 = 0.9881). According to the equation:
E = Eo + (RT/αnF)ln(RTko/αnF) + (RT/αnF)lnv (1)
T, R, ko, Eo, F represent the Kelvin temperature (K), ideal gas constant (8.314 J/(mol·K)), the inhomogeneous electron transfer rate, the formal potential (V), the Faraday constant (96480 C/mol), respectively, and α is usually 0.5 in a quasi-reversible process. Then, n is calculated to be 1.77, which is approximately 2, showing that the electrochemical oxidation reaction of DA is a quasi-reversible process of double electron transfer(Li et al. 2022b).
For quantitative analysis of DA, the DPV curves of Cu-Cu2O/GCE with various concentrations were detected. As shown in Fig. 4a, the peak current value (Pox) increases with the increase of DA concentration, indicating a preferable sensibility of Cu-Cu2O/GCE to DA. Besides, Fig. 4b demonstrates that the Pox has a good linear relationship with the concentration, which can be expressed as I (µA) = 58.03CDA + 7.389 with R2 value of 0.9936. The corresponding LOD is calculated to be 7.1 nM (S/N = 3). Compared with the recent research works of Cu-based/GCE on DA (Table S1: Supporting Information), the developed Cu-Cu2O/GCE shows a better performance with a lower detection limit (7.1 nM) in the concentration range of 0.001-2 mM. The anti-interference performance is another important property for electrochemical sensor, which was evaluated by I-t curve method. DA and other interfering substances were injected into the PBS solution in turn at 0.25 V and the I-t curve was recorded (Fig. 4c and 4d). The current value increases immediately with the addition of DA and reaches stability during 3 seconds, investigating that Cu-Cu2O/GCE has an excellent sensitivity and stable signal to DA. The interfering substances, such as NaCl, H2O2, uric acid (UA), and glucose (Glu) are added, which concentration is 10 times than DA, while the current value has no significant changes. A minor increase in current value was found in the case of (limiting amino acids) L-AA, which can be ignored due to the high concentration of L-AA compared with DA. Interference results show that Cu-Cu2O/GCE has high anti-interference performance for the determination of DA.
Repeatability and long-term stability are two important properties of electrochemical sensors. To evaluate the repeatability of Cu-Cu2O/GCE, four parallel experiments have been used, which show no significant change and these current values obtained around 140 µA, with a 3.6% relative standard deviation (Fig. 5ab), which shows good repeatability. Besides, the cycle tests were applied to evaluate the stability. Figures 5c and 5d showed that the current value only decreases by 4.7% after 50 cycles, which indicates good stability.
3.3 Discussion of the mechanism
In the above results, for the reversible reaction, the number of electrons was calculated as approximately 2 according to the equation proposed in the literature(Li et al. 2022b), and the possible reaction mechanism is shown in Figure S2 (Supporting Information).
As we all know, the ESCA and active sites are the key factors for the sensor to detect the target detection object. A larger ESCA can generate more active sites to catalyze the oxidation-reduction reaction of the target detection object better and faster(Li et al. 2023; Yang et al. 2021b). It is observed from Fig. 1 that the nanosheets in Cu-Cu2O obtained after etching are much smaller than those in Cu, which greatly increases the ESCA and active sites. Moreover, the surface of Cu-Cu2O becomes extremely rough, which leads to the appearance of many micropores, which is more conducive to the mass transfer rate of DA, and further accelerates the oxidation reaction of DA, which is the first reason for the excellent detection performance of Cu-Cu2O nanosheets.
Moreover, it is found that in the combination of Cu/Cu2O, electrons in Cu2O are usually transferred to Cu, which makes the Cu2O component in the combination of Cu/Cu2O often in an “electron-deficient” state(Ma et al. 2024; Zhu et al. 2020). Therefore, the production of Cu2O is conducive to the transfer of electrons on dopamine to the vicinity of electron-deficient Cu2O, which is conducive to the oxidation reaction of dopamine. However, the production of too much Cu2O will inevitably lead to the transfer of too many electrons to the vicinity of Cu, which weakens the oxidation of dopamine near Cu. Therefore, controlling the ratio of Cu2O in Cu/Cu2O is the key. We just optimized the concentration of NaOH in the process of etching Cu which makes the ratio of Cu2O in Cu/Cu2O obtained by us conducive to the improvement of detection performance. Certainly, in the Cu/Cu2O combination, the electron transfer problem and the ratio problem between Cu2O and Cu need more detailed mechanism research, which is the direction of our follow-up efforts.