3.1. Characterization of ZIS@CNNs composites
Figure 2a-c showed the morphological images of CNNs, ZIS, and ZIS@CNNs composites, respectively. It could be observed from
Figure 2a that pure CNNs prepared via two-step calcination method had distinct flaky images and exhibited overlapping and stacking morphologies. As can be seen from
Figure 2b that the morphology of pure ZIS synthesized by the hydrothermal method resembles nano-leaves. As shown in
Figure 2c, the bottom layer of the ZIS@CNNs composite material is CNNs, and ZIS nano-leaves are evenly attached to its surface. These results indicate that ZIS nano-leaves are successfully grown on CNNs.
Figure 2d shows the chemical composition of the ZIS@CNNs composites obtained by EDS testing, which shows the presence of Zn, In, S, C, and N elements.
When CNNs were added to the ZIS precursor solution with dissolved sodium citrate dihydrate, Zn2+ and In3+ in the solution moved rapidly to CNNs, and then the added TAA released S2–, which reacted with Zn2+ and In3 attached to the surface to form ZIS nanoparticles. Under hydrothermal conditions, sodium citrate dihydrate exerted an inhibitory effect on the growth of nanoparticles, and then the nanoparticles gradually became nano-leaves. Eventually, a large number of ZIS nano-leaves accumulated on the surface of CNNs, forming 2D/2D ZIS@CNNs heterojunctions.
The microscopic morphologies of CNNs, ZIS, and 30% ZIS@CNNs were further investigated using TEM. From
Figure 3a and b, it was clear that the morphologies of CNNs and ZIS were nanosheets and nano-leaves, respectively. The surface of the 30% ZIS@CNNs composite is rougher than that of pure CNNs due to the deposition of the ZIS nano-leaves onto the surface of the CNNs, which is consistent with the SEM results.
Figure 3d displayed the HRTEM image of 30% ZIS@CNNs. The lattice spacing of 0.321 nm corresponds to the (002) crystalline planes of CNNs, and the lattice spacing of 0.315 nm corresponds to the (104) crystalline planes of ZIS (JCPDS No. 49−1562).
Figure 4a,b shown the N
2 adsorption–desorption isotherms and pore size distribution curves of CNNs and 30% ZIS@CNNs composite, respectively. According to the adsorption isotherm, the S
BET of CNNs was 656.965 m
2/g, while the S
BET of 30% ZIS@CNNs composite decreased sharply to 47.239 m
2/g. The pore size distribution of 30% ZIS@CNNs composite and CNNs were analyzed according to the Barrett-Joyner-Halenda (BJH) method [
39], The average pore diameters of 30% ZIS@CNNs composite and CNNs are about 13.05 and 4.38 nm, respectively, indicating that both materials are mesoporous structures.
Figure 5a displayed the XRD patterns of pure CNNs, pure ZIS, and three different ZIS@CNNs composites. It could be obviously seen from
Figure 5a that there were two evident characteristic peaks in the XRD patterns of CNNs. The weak peak at 12.9° can be assigned to an in-plane repeating motif of the continuous heptazine network [
40,
41]. Due to the interlayer-stacking (002) crystal plane of melon networks, there is a prominent and sharp diffraction peak at 27.7° [
42]. From the XRD patterns of ZIS, the peak at 28.3°, 47.0°, and 55.8° can be assigned to the diffraction peaks of (104), (110), and (024) hexagonal crystal planes of ZIS (JCPDS No. 49−1562), respectively. For the three different ZIS@CNNs composites, the peak of (002) crystal plane of CNNs overlaps with the peak of (104) hexagonal crystal plane of ZIS, and the remaining two peaks are the characteristic diffraction peaks of ZIS. In addition, due to the introduction of ZIS, the diffraction peak density of CNNs is weakened. However, the peak position of CNNs does not move, indicating that the introduction of ZIS does not change the crystal phase structure of CNNs.
FT-IR spectra were used to characterize the variation of CNNs in the reaction process. As displayed in
Figure 5b, several strong peaks appeared in the region of 900–1700 cm
−1 are caused by the skeleton vibration of C-N and C=N heterocycles [
43]. And the peak located at 808 cm
−1 is caused by the breathing vibration of the s-triazine units [
44]. The peaks between 3000 and 3500 cm
−1 are caused by H
2O molecules bound with surfaces of CNNs and ZIS@CNNs and the amino groups formed by the hydrothermal reaction [
45]. Compared with the FT-IR spectra of CNNs and three different ZIS@CNNs composites, the peaks of the four curves were similar, which indicates that the introduction of ZIS does not damage the skeleton structure of CNNs. ZIS and CNNs can co-exist well in the hydrothermal reaction. It also shows that CNNs have excellent structural stability.
XPS was considered as an effective means to further study the surface chemical state of the ZIS@CNNs composites. As could be seen in
Figure 6a, five elements, Zn, In, N, S, and C, were clearly present in the tested material.
Figure 6b shown the high-resolution XPS spectrum of element C. It could be clearly seen that the peaks of CNNs and ZIS@CNNs composites were very similar, which indicates the presence of CNNs in the composites. The strong peak locates at 287.6 eV is assigned to N–C=N and the weaker peak at 284.3 eV is assigned to graphite carbon nitride [
46]. The peak of ZIS@CNNs composites negatively shift to 287.5 and 284.2 eV, respectively. The binding energy of ZIS@CNNs composites decreases by 0.1 eV compared to CNNs. This may be attributed to the intense electronic interactions between CNNs and ZIS, where CNNs gain photoelectrons [
47].
Figure 6c shown the high-resolution XPS spectrum of element N. Four peaks can be seen in
Figure 6c, and the intensity of these four peaks gradually decreased from 398.0 to 403.7 eV. The peak with the highest binding energy at 398.0 eV is caused by the C–N=C bond. The peak at 399.6 eV is caused by N–(C)
3 groups. The peak at 400.5 eV indicates the presence of N–H bonds [
48]. The weak peak at 403.7 eV is caused by charge buildup due to electron transfer. In comparison with CNNs, the binding energy of element C, N of the ZIS@CNNs composites negatively shift, indicating the state of CNNs gaining photoelectrons. To further analyze the electronic state of ZIS, high-resolution XPS spectra of Zn, In, and S elements were analyzed. It can be seen that the peaks of ZIS and ZIS@CNNs composites are very similar, which indicates the presence of ZIS in the composites.
Figure 6d shows the high-resolution XPS spectrum of element S. It could be seen two peaks with different peak widths. The narrow peak at 160.6 eV is the characteristic peak of S 2p
3/2 and the broad peak at 161.8 eV is the characteristic peak of S 2p
1/2, indicating the S
2– chemical state in the ZIS@CNNs composite.
Figure 6e shows the high-resolution XPS spectrum of element In, the peaks at 444.2 and 451.6 eV are the characteristic peaks of In 3d
5/2 and In 3d
3/2, respectively, indicating the In
3+ chemical state in ZIS@CNNs composite [
49]. As displayed in
Figure 6f, the peaks at 1021.3 and 1044.8 eV are the characteristic peaks of Zn 2p
3/2 and Zn 2p
1/2, respectively, indicating the Zn
2+ chemical state in ZIS@CNNs composite [
50]. In comparison with ZIS, the binding energy of element S, In, Zn of the ZIS@CNNs composites positively shift, indicating the state of ZIS losing photoelectrons [
51]. Combining the above results of the gain and loss of photoelectrons in CNNs and ZIS, it can be judged that photoelectrons flow from ZIS to CNNs.
3.2. Light absorption properties
To investigate the absorption properties of CNNs and three different composites for visible light, their UV-Vis DRS was measured [
52]. It can be clearly seen from
Figure 7a that the absorption edges of the three different ZIS@CNNs composites are significantly red-shifted toward the visible region compared with pure CNNs, and the 30% ZIS@CNNs composite shows the largest absorption threshold, which indicates that the ZIS@CNNs composites have stronger absorption of visible light than pure CNNs, and the 30% ZIS@CNNs composite has the best absorption performance. From the results of TEM and SEM as well as BET, it is obvious that the introduction of ZIS makes the CNNs porous structures as well as the increased area of visible light contact, which allows more visible light to be captured through the pores into the gaps between the CNNs, thus the composites exhibit a strong light capture capability. In addition, the Tauc curves (
Figure 7b) are obtained by Kubelka−Munk means [
53,
54]:
where the absorption index, the Planck constant, the frequency, and the characteristic constant are defined as α,
h,
v, and
A, respectively. The value of n depends on the transition characteristics of the material, n = 1/2 for the direct band gap and n = 2 for the indirect band gap. The
Eg of pure CNNs, ZIS, 20% ZIS@CNNs, 30% ZIS@CNNs, and 40% ZIS@CNNs composites are 2.7, 2.39, 2.63, 2.52, and 2.59 eV, respectively.
The separation efficiency of photogenerated carriers has an important influence on the PCP performance of the material. In order to study the carrier separation efficiency of different materials [
55], PL tests were performed which can be seen in
Figure 8. The greater the decay of PL peak intensity, the higher the carrier separation efficiency [
56]. Compared with pure CNNs, the peak intensities of the three different ratios of composites decayed significantly, with the 30% ZIS@CNNs composite showing the greatest decay. This may be due to the introduction of ZIS, which makes the ZIS@CNNs composites exhibit significant fluorescence quenching. The above results indicate that the recombination efficiency of the photogenerated electron-hole pairs of the composites is significantly reduced, and the 30% ZIS@CNNs composite has the lowest carrier recombination efficiency.
3.3. PCP effects
In order to test the protection effect of CNNs and three different ZIS@CNNs composites on 316 SS, we conducted OCP tests on the above four materials [
57]. As can be seen in
Figure 9a, the OCP of all materials dropped steeply as the light source was turned on, and the potential drops of three different ZIS@CNNs composites were significantly higher than that of pure CNNs. In addition, 30% ZIS@CNNs exhibited the largest potential drop (0.37 V), which was 7.4 times higher than that of pure CNNs (0.05 V). After the power was turned off, the OCP first rosed sharply and then slowly and finally stabilized around a certain value. As could be seen from
Figure 9a, the stable values of the rebound potentials of both ZIS@CNNs composites and CNNs were lower than the self-corrosion potential of 316 SS (−0.18 V vs. SCE), which may be due to the fact that the electrons in ZIS@CNNs composites and CNNs did not disappear completely after the light was turned off. There are still some electrons are transferred from three different ZIS@CNNs composites and CNNs photoanodes to 316 SS surface, indicating that they still played a continuous protective role for 316 SS in the dark state. In addition, three different ZIS@CNNs composites rebounded to more negative potential values compared with pure CNNs, indicating that the composite had a better continuous protection effect than pure CNNs in the dark state. The potentials of three different ZIS@CNNs composites remained stable after four on-off photocycles, indicating that the composites can provide stable protection to 316 SS for a long time. In addition, to test the protection effect of the composite material on other metals, we conducted OCP tests on 304 SS under the same conditions as 316 SS, and the potential drop compared to 316 SS was shown in the
Figure 9e. It can be clearly seen that ZIS@CNNs composites have obvious protection for 304 SS, and 30% ZIS@CNNs composite has much better protection effect for 304 than CNNs. In addition, in comparison with the protection of CNNs and 30% ZIS@CNNs composite for 316 SS, the protection for 304 SS is weaker than 316 SS.
CV curves were used to analyze the electrochemical activity of pure CNNs and three different ZIS@CNNs composites. The CV curves of four materials were tested at different sweep speeds and the results were shown in
Figure 10 a-d. It can be seen from
Figure 10 that the area enclosed by the CV curves of the three ZIS@CNNs composites was larger than that of the CNNs at the same sweep speed, and the area enclosed by the CV curves of the 30% ZIS@CNNs composite was the largest. The scatter plot of
Figure 10e was obtained with the sweep speed as the horizontal coordinate and the current variation of the CV curve as the vertical coordinate. The data were fitted to obtain four straight lines with different slopes, and the slope allows us to obtain the capacitance values of different materials. The larger the slope, the larger the capacitance value [
58]. Besides, the electrochemical active area correlated with the size of the capacitance value, the larger the capacitance value, the larger the active area. Therefore, the slope size of the 4 lines in
Figure 10e could be used to qualitatively analyze the effect of the size of the electrochemically active area of the 4 materials on the protection performance of the materials. It could be seen from
Figure 10e that the slopes of the three different ZIS@CNNs composites were significantly larger than that of CNNs and the slope of the 30% ZIS@CNNs composite was the largest, which indicates that the capacitance value of the three different ZIS@CNNs composites were larger than that of CNNs and the 30% ZIS@CNNs composite had the largest capacitance. Therefore, the electrochemically active areas of three different composites were greater than that of CNNs. 30% ZIS@CNNs composite had the largest electrochemically active area. This is in agreement with the 30% ZIS@CNNs composites exhibiting the optimal protective properties. In addition, the slope of the 40% ZIS@CNNs composite was slightly smaller than that of the 20% ZIS@CNNs composite, which may be attributed to the increase in the proportion of ZIS, which caused a large amount of ZIS to accumulate, resulting in smaller gaps between the nano-leaves, resulting in a reduced active area. However, more heterojunction channels were formed between the ZIS and CNNs in the 40% ZIS@ CNNs composites, which allowed the 40% ZIS@ CNNs composites to exhibit better protective properties than the 20% ZIS@CNNs composites.
The photoanodes generates current under light, therefore, photocurrent density is another effective approach to characterize the protection effect of photoanodes on 316 SS [
59]. The i-t curves of 316 SS coupled with CNNs and three different ZIS@CNNs composites were measured. As shown in
Figure 9b, when the light source was turned on, the photocurrent densities of all materials increased rapidly to a certain value. It was obvious from
Figure 9b that the photocurrent densities of three different ZIS@CNNs composites were larger than that of pure CNNs, and 30% of ZIS@CNNs composites exhibited the largest photocurrent densities (17.30 μA cm
–2), which was more than 4 times that of pure CNNs (4.22 μA cm
–2). The current drops in the 100 ~ 150 s and 200 ~ 250 s closed-light phases for CNNs and the three different composites were not as rapid as in the open-light phase, but more slowly, and the final steady current was not zero, which may be due to the fact that the carriers generated in the open-light phase did not disappear completely. Combined with the above and OCP results, it can be indicated that three different ZIS@CNNs composites could provide better protection for 316 SS than pure CNNs under light conditions, and the 30% ZIS@CNNs composite had the best protection effect.
Figure 9c shown the Tafel curves of 316 SS coupled with CNNs and three different ZIS@CNNs composites.
Table 1 shown the fitted values of the above curves. The order of
Ecorr for different materials was that 30% ZIS@CNNs composite < 40% ZIS@CNNs composite < 20% ZIS@CNNs composite < CNNs. The 30% ZIS@CNNs composite has the most negative photogenerated potential, which is consistent with the OCP results. In addition, the order of
icorr for different materials is that 30% ZIS@CNNs composite > 40% ZIS@CNNs composite > 20% ZIS@CNNs composite > CNNs. The
icorr for 30% ZIS@CNNs composite is more than 3 times that of CNNs. Larger
icorr means faster electrode reaction rates [
60].
icorr for 30% ZIS@CNNs is the largest, indicating this composite has the highest protection efficiency.
In order to study the electron transfer efficiency inside and between materials, we measured the EIS plots of 316 SS coupled with CNNs and three different ZIS@CNNs composites, and the results are shown in
Figure 9d. It could be clearly seen that the impedance arcs of three different ZIS@CNNs composites were smaller than that of CNNs under the light condition, and 30% ZIS@CNNs composite has the smallest impedance arc. This indicates that the ZIS@CNNs composites generate more photogenerated electrons and the formation of heterojunction channels accelerates the electron transfer, which enhances the protection of the material for 316 SS. According to the measured impedance data, the fitted circuit used is
Rs (
Qf Rf) (
Cdl Rct) circuit. The fitting circuit diagram was shown in the internal diagram of
Figure 9d.
Rf,
Rs, and
Rct were the internal resistance of the photoanode, the resistance of 3.5 wt% NaCl solution, and the charge transfer resistance, respectively.
Qf and
Cdl were defined as internal film capacitance of the material and double-layer capacitance, respectively.
Table 2 shown the values of the fitting. The smaller the
Rct, the easier the charge transfer [
61]. The order of
Rct of different materials was that 30% ZIS@CNNs (426.5 Ω cm
−2) < 40% ZIS@CNNs (556.6 Ω cm
−2) < 20% ZIS@CNNs (874.2 Ω cm
−2) < CNNs (934.1 Ω cm
−2). It is obviously that the R
ct of CNNs was about 2 times than that of 30% ZIS@CNNs composite, which means that the transfer efficiency of electrons in 30% ZIS@CNNs composite is higher than that in pure CNNs. Furthermore, 30% ZIS@CNNs composite has the highest electron transfer efficiency.
The stability of the material is an important factor that affects the practical application of the material.
Figure 9f shows the XRD patterns of the material before and after the electrochemical test, and it can be seen from the figure that the XRD patterns before and after the reaction are not significantly changed. This indicates that the photoanode material has good stability.
3.4. Mechanism analysis
To determine the band edge positions of different materials and the VB and CB positions of CNNs and ZIS, and to elucidate the mechanism of electron transfer. The M-S curves of the five materials were measured. It could be seen from
Figure 11 that the slopes of all the curves are positive, which indicates that the experimentally prepared ZIS, CNNs, and the three different ZIS@CNNs composites are n-type semiconductors [
62]. Compared with CNNs, the flat-band potentials (
Efb) of composites have a negative shift, and 30% ZIS@CNNs composite has the most negative shift. It indicates that more photogenerated electrons can be transferred from the 30% ZIS@CNNs composite to the 316 SS surface for their protection than the other materials. It could be seen from
Figure 12 that the
Efb of CNNs was –0.6 V vs. SCE, and
ECB could be calculated by the following formulae:
so the
ECB of CNNs is −0.56 eV. Similarly, the
ECB of ZIS is −0.83 eV [
63,
64].
EVB of the semiconductor photoanodes can be calculated by the formula:
So that the EVB of CNNs and ZIS were calculated as 2.14 and 1.56 eV, respectively. Besides, to further confirm the EVB, the XPS valence band spectra were tested. It could be seen from
Figure 11f that the EVB of CNNs and ZIS were 2.15 and 1.57 eV, respectively, which were consistent with the M-S results. Obviously, the ECB of ZIS was more negative than that of CNNs, so the photogenerated electrons can be transferred from ZIS to CNNs surface and move to the 316 SS surface. Therefore, the ZIS@CNNs composites generate more electrons than pure CNNs.