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Article

Cyano/Hydroxyl Groups Co-Functionalized g-C3N4 for Photocatalytic NO Removal: A Synergistic Strategy towards Inhibition of Toxic Intermediate NO2

by
Hui Wang
1,
Xiaoqian Xu
1,
Abdelkader Labidi
1,
Haitao Ren
1,
Ahmed A. Allam
2,
Ahmed Rady
3,
Yu Huang
4,5,
Shuwei Wei
1,
Mohsen Padervand
6,*,
Shahnaz Ghasemi
7 and
Chuanyi Wang
1,*
1
School of Environmental Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China
2
Zoology Department, Faculty of Science, Beni-Suef University, Beni-Suef 62511, Egypt
3
Department of Zoology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
4
Key Laboratory of Aerosol Chemistry and Physics, State Key Lab of Loess and Quaternary Geology (SKLLQG), Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China
5
CAS Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China
6
Department of Chemistry, Faculty of Science, University of Maragheh, Maragheh P.O. Box 55181-83111, Iran
7
Sharif Energy, Water, and Environment Institute, Sharif University of Technology, Azadi Avenue, Tehran P.O. Box 11365-8639, Iran
*
Authors to whom correspondence should be addressed.
Catalysts 2023, 13(11), 1433; https://doi.org/10.3390/catal13111433
Submission received: 30 September 2023 / Revised: 4 November 2023 / Accepted: 8 November 2023 / Published: 13 November 2023
(This article belongs to the Special Issue Nanotechnology in Catalysis, 2nd Edition)
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Abstract

:
Photocatalytic NO removal is usually accompanied by the generation of NO2, an intermediate with a higher toxicity than NO. Therefore, it is critically important to develop new photocatalysts capable of NO selective conversion. Herein, we report on the synergistic roles of cyano and hydroxyl functional groups in photocatalytic NO removal. According to the results, the NO2 production efficiencies on cyano/hydroxyl-group-modified g-C3N4 (DCN-O-R) was limited to 4.8%, which was lower than that of cyano-group-modified g-C3N4 (DCN, 38.6%) and pure g-C3N4 (CN, 50.0%). Meanwhile, the photocatalytic NO conversion efficiency over DCN-O-R was higher than that of DCN and g-C3N4. It was found that the insertion of cyano groups favorably changes the energy band of g-C3N4 towards the generation of •O2−. NO can only be oxidized to NO2 by the photogenerated holes. When NO2 is adsorbed on the surface of hydroxyl groups, it can be further oxidized to the product NO3− by •O2−. The synergistic effect of bifunctional groups regulates the conversion pathway from NO→NO2 to NO→NO2→NO3−. This work provides a strategy to abate toxic intermediates during the NO removal process, underlining the importance of surface/interface molecular engineering in regulating catalytic reaction pathways.

Graphical Abstract

1. Introduction

The increasing number of motor vehicles and industrial activities is causing serious environmental pollution [1,2,3]. As a common gaseous pollutant, nitrogen oxide (NOx) can not only cause respiratory and cardiopulmonary diseases, but also produces ozone, acid rain, haze, photochemical smog, and other environmental issues. It is a serious hazard to the ecosystem and human health [4,5,6]. Traditional technologies, such as liquid adsorption [7], solid adsorption [8], three-way catalyst (TWC) [9], selective catalytic reduction (SCR) [10,11,12] and selective non-catalytic reduction (SNCR) [13], are mainly aimed at point source pollution with high concentrations and it is difficult to remove low concentration-NOx (ppm to ppb levels). In addition, these technologies usually have the drawbacks of strict reaction conditions, high energy consumption, low efficiency, catalyst deactivation, and secondary pollution [14,15]. Compared with traditional technologies, photocatalysis, as an efficient and environmentally friendly technology, has shown great potential in solving NOx pollution problems. The bandgap of a semiconductor is excited when the energy of a photon equals or exceeds its bandgap. In contrast to photogenerated holes (h+), which remain in the valence band, photogenerated electrons (e−) migrate from the valence band (VB) to the conduction band (CB). e− and h+ pairs travel from the bulk of the photocatalyst to the surface and initiate subsequent redox reactions, resulting in efficient NO removal [16].
Among the photocatalytic materials, a great deal of attention has been paid to graphitic carbon nitride (g-C3N4) because of its abundance as a raw material, lack of toxicity, straightforward production procedure, reactivity to visible light, outstanding chemical stability, and tunable electronic structure [17,18]. However, g-C3N4 exhibits poor NO removal ability due to intrinsic limitations such as a small surface area, narrow absorption range for visible light, low separation and migration efficiency, and the rapid recombination of photogenerated carriers [19]. In addition, the high valence band position of g-C3N4 restricts its oxidizing ability, resulting in the incomplete oxidation of NO [20,21]. The product contains a large amount of NO2, which is more toxic than NO [22,23]. These obstacles limit the practical application of g-C3N4 for photocatalytic NO removal. Further modification of g-C3N4 is required for efficient and complete NO removal. In recent years, various strategies have been extensively studied, including morphology modulation [24], heteroatom doping [25,26], defect engineering [27], functional groups modification [28], metal loading [29,30], heterostructure building [31], etc. Among them, the modification of g-C3N4 with suitable functional groups is considered as an effective strategy for the selective photocatalytic conversion of gaseous pollutants.
It has been reported that g-C3N4 modified with various agents, such as cyano [32], carbonyl [33], carboxyl [34], and hydroxyl [35], indicated better performance than pristine carbon nitride due to the favorable effects of the functional groups, which not only improve the optical absorption properties but also ameliorate the adsorption capacity on the surface, thereby enhancing photocatalytic performance. However, only a few studies are concerned with the photocatalytic conversion of NO. Zeng [36] et al. prepared hydroxyl and carbonyl co-modified g-C3N4. The results demonstrated that the functional groups can successfully inhibit the recombination of photogenerated electron–hole pairs by modulating the band structure of g-C3N4. Although this work indicates an improvement in NO removal efficiency, a large number of toxic products are generated in the conversion process. These studies showed that functional groups modification could improve the photocatalytic performance of g-C3N4. However, the mechanistic roles of functional groups towards the selective conversion of NO to the products with less toxicity under illumination are rarely studied and still unclear. There are some scientific issues that merit further study.
Based on the above considerations, we successfully prepared novel cyano/hydroxyl/g-C3N4 materials using a simple pyrolysis method. Making use of several characterization techniques, the effects of surface functionalization on modulating the structural and electronic features of graphitic carbon nitride are described in details. The product evolution process of NO conversion over cyano– and hydroxyl-group-modified g-C3N4 (DCN-O-R) photocatalyst was dynamically monitored by in situ DRIFTS. The scavenging experiment and ESR were also used to reveal the key reactive oxygen species (ROS) in the process of NO selective conversion. The prominent roles of the aforementioned functional groups in regulating the morphological properties at the molecular level and inhibiting the charge carriers’ recombination to direct the mechanism of the photoreaction are comprehensively discussed. Our findings demonstrate that the co-functionalization of –C≡N and –OH on g-C3N4 significantly promotes the complete oxidation of NO to the product NO3− through a two-step reaction (NO→NO2→NO3−) and inhibits the formation of toxic NO2, which is of great importance in practical applications.

2. Results and Discussion

The synthesis process of DCN and DCN–x is shown in Figure 1. The first calcination can form DCN. After the second calcination, under different conditions, DCN-O–x will be formed. The crystalline phases of the as-prepared samples are demonstrated using the XRD patterns. As can be seen in Figure 2a, all samples have the two classic g-C3N4 diffraction peaks at 13.0 and 27.8°, which are attributed to the (110) and (002) crystal planes, representing the in-plane repeating units and the stacking reflection of the inter-layer, respectively [37]. The two characteristic peaks of DCN and DCN–x become weaker as compared to CN, reflecting the loss of long-range planned structures within the g-C3N4 framework. This result may be due to the addition of NH4Cl, which acts as a bubble template to disrupt the hydrogen bonds between the layers and insert defects in the heptazine, leading to the destruction of the in-plane repeating units [38]. As shown in Figure 2b, the characteristic peak of DCN and DCN-O–x (002) plane shift from 27.2° to 27.4° compared to CN, which reflects the decrease in the stacking distance between the layers [39]. This observation can be assigned to the presence of structural defects in the g-C3N4 framework [40].
The morphology of DCN-O-R was investigated by transmission electron microscopy (TEM). As shown in Figure 3a,b, DCN-O-R shows a porous framework. The position marked by the red circle can clearly observe the porous framework. In fact, ammonium chloride decomposes into gas at 337 °C [41], which provides abundant bubble templates during calcination. The specific surface area and pore size can both be increased by secondary calcination. The specific surface area and porosity of the structures remarkably influence the adsorption capacity and the number of catalytic active sites [42].
To further evaluate the porosity and specific surface area, N2 adsorption-desorption isotherms were used to describe the pore shape and size distribution. From Figure A2a, all samples exhibit type IV isotherms with H3 hysteresis loops [43]. The specific surface area of DCN prepared by adding NH4Cl is 42.95 m2∙g−1, is much higher than that of CN (3.70 m2∙g−1). The specific surface areas of DCN-O-R and g-C3N4, containing cyanide and a small amount of hydroxyl groups prepared under hypoxic conditions (DCN-O-P), are significantly increased to 75.07 and 63.08 m2∙g−1, respectively. As shown in Figure A2b, the Barret-Joyner-Halenda (BJH) analysis shows that the maximum distribution of DCN pore sizes is around 20–40 nm. After secondary calcination, the pores of DCN–x are more abundant than that of DCN, which is consistent with the TEM image results. The size of the pores has also increased at the same time. The pore diameters of DCN-O-R and DCN-O-P range from 30 to 50 nm. The results well demonstrate that NH4Cl–assisted heat treatment and secondary calcination increase the g-C3N4 specific surface area and form the porous structure. In this way, there are more reactive sites on the surface of the photocatalyst.
The chemical structure and composition of the samples were examined using FT–IR and XPS analysis methods. FT–IR spectra can provide useful structural information about the chemical bonds in the samples. All the materials show similar FT–IR patterns, as illustrated in Figure 4a. The formation of triazine-based C3N4 can be excluded, as evidenced by the absence of its characteristic band at 995 cm−1. The strong peaks in the range of 1700–1200 cm−1 are attributed to the typical stretching vibrations of the heptazine ring. The peak at 807 cm−1 is attributed to the typical bending vibration of the heptazine ring [44]. The stretching vibration of the N–H bond can be explained by the broad peaks in the 3650–3000 cm−1 region [45]. The results indicate that all samples have an ordered planar structure composed of heptazine units. However, compared with CN, DCN and DCN–x display a novel vibrational band at 2178 cm−1, which is attributed to –C≡N groups [46]. As shown in Figure 4b, the DCN–x samples display a novel peak at 1280 cm−1, which can be attributed to the –OH groups [38]. The above results demonstrate that DCN-O-R is co-modified by cyano and hydroxyl functional groups. Accordingly, the NH4Cl–assisted heat treatment can insert –C≡N group into the DCN structure, while the secondary calcination effectively inserts the –OH group into DCN–x.
To further confirm the effect of the NH4Cl heat treatment and secondary calcination under different atmospheric conditions on the structure of g-C3N4, all samples were characterized by X-ray photoelectron spectroscopy (XPS). As shown in Figure A3, the XPS survey scan spectra show that all samples contain carbon, nitrogen, and a small amount of oxygen. The ratios of N–to–C and O–to–C of all samples are shown in Table A1. During the preparation process, some defects may form, such as nitrogen vacancies, resulting in a ratio lower than the ideal ratio of 1.33. In addition, the second calcination will increase the concentration of nitrogen vacancies and introduce the hydroxyl groups. When nitrogen atoms are lost, the N–to–C ratio will decrease. As the hydroxyl group increases, the O–to–C ratio also increases. Figure 4c–e depicts high-resolution XPS spectra of C 1s, N 1s, and O 1s. The N 1s high-resolution spectra of CN, DCN and DCN–x can be fitted into three peaks at the binding energies of 398.6, 400.1, and 401.2 eV (Figure 4d), which are assigned to N–C, N–(C)3, and C–NHx, respectively. The intensity of the peak at the 401.2 eV binding energy is not significantly enhanced, indicating no significant increase in the number of –NHx groups. The C 1s high-resolution spectra of CN, DCN and DCN–x, as shown in Figure 4c, can be fitted into three peaks at binding energies of 284.8, 286.37, and 288.3 eV, which are assigned to N–C=N, C–NHx, or –C≡N [47], and sp2-hybridized carbon, respectively [48]. Compared to CN, the intensities of the characteristic peaks of DCN and DCN–x located at the binding energy of 286.37 eV increased, indicating that DCN and DCN–x contain high concentrations of the –C≡N group. It is worth noting that, except for the above three peaks, a new peak at the binding energy of 284.1 eV is displayed in the C 1s spectrum of DCN-O-R. This peak is attributed to C–OH, which confirms the existence of –OH groups through the binding to C [49]. Figure 4e demonstrates that a peak at binding energy 532.8 eV can be observed in the O 1 s high-resolution spectrum of CN. This peak is considered to be caused by CO2 or H2O absorbed on the sample’s surface [50,51]. A novel peak at the binding energy of 535.5 eV can be observed in the O 1 s fitting spectra of DCN and DCN–x, which is due to the existence of –OH groups on the sample [51]. This result is consistent with the FT–IR spectra. The intensities of these peaks of DCN–x are much higher than those of DCN, indicating that the –OH group can be effectively introduced into the surface of DCN–x by secondary calcination. The concentrations of the –OH group in DCN–x are different under different atmospheric conditions. Among them, the concentrations of the –OH group on the DCN-O-R surface are the highest.
Room-temperature electron paramagnetic resonance (EPR) spectroscopy was used to analyze the changes in the electronic properties of the photocatalysts. The absence of nitrogen atoms leads to the presence of nitrogen vacancies in the g-C3N4 structure. After the N atom is lost, there are no paired electrons on the C atom, and the EPR signal will be enhanced. As shown in Figure 5, a single Lorentzian signal of g = 2.0046 can be observed in all samples due to the unpaired electrons in the heptazine ring of g-C3N4 [52]. The signal intensity in the DCN’s pattern is higher than that of CN, which proves that nitrogen vacancies are introduced into DCN during the NH4Cl–assisted heat treatment steps [53]. Obviously, secondary calcination of DCN can increase the nitrogen vacancy concentration significantly. Similar amounts of nitrogen vacancies exist in both DCN-O-R and DCN-O-P samples.
Light-harvesting features and bandgap values, in particular, are of great significance in photocatalytic processes. UV–Vis diffuse reflectance spectroscopy (UV–Vis DRS) and XPS valence band spectra were used to analyze the effects of nitrogen vacancies, –C≡N, and –OH groups on the band structure and optical properties of the samples. As shown in Figure 6a, all samples are able to absorb the photons in the visible light region. However, compared with CN, DCN and DCN–x have increased optical absorption ability and show a significant redshift of the optical absorption edge. In addition, the absorption tails of DCN and DCN–x in the range of 450–600 nm have obvious surges, suggesting that the samples have a bandgap [41]. Structural defects, impurities, and other surface adsorbents can lead to electron localization. Therefore, the localized electrons in DCN and DCN–x may be caused by cyanide groups, resulting in absorption tails in the range of 450–600 nm. The absorption tails of DCN and DCN–x are similar, demonstrating that the insertion of the bandgap is mostly influenced by –C≡N groups and only slightly affected by the –OH groups, but not affected by nitrogen vacancies. The results demonstrate that modification of g-C3N4 with –C≡N groups can further expand photocatalytic performance to the visible light region.
The bandgap energy (Eg) of the samples was estimated by the Tauc formula, (αhυ) = A (hυ − Eg)1/2 [54]. As shown in Figure 6b, the intrinsic bandgap of both CN and DCN-O-R is 2.64 eV. Notably, the bandgap energy of DCN-O-R is 2.50 eV. A narrow bandgap is favored to harvest light photons efficiently and promote photogenerated electron transport [55]. In addition, the XPS valence band spectra were utilized to investigate the valence band positions of the samples. As exhibited in Figure 6c, the VB edge positions of CN and DCN-O-R are both 2.17 eV. The following equation can be used to eliminate the measurement error:
VB (vs·NHE) = Φ+ VBXPS − 4.44 eV
where Φ (4.2 eV) corresponds to the XPS analyzer’s work function, and 4.44 eV is obtained from the vacuum level [56]. The VB positions (relative to NHE) of CN and DCN-O-R are both 1.93 V. From these results, and, combined with the obtained bandgaps, Figure 6d shows the detailed band structures of CN and DCN-O-R. According to calculations, the conduction band edges of CN and DCN-O-R are located at −0.71 V. The new defect state formed below the conduction band of DCN-O-R acts as an intermediate energy level and its position is calculated to be −0.57 V. This potential still enables the easy conversion of O2 to superoxide radicals (•O2−), which is favored thermodynamically (O2/•O2− = −0.33 V) [27].
Photocatalytic NO removal performance was evaluated using a continuous flow reactor. The samples were placed in the dark until NO adsorption reached an equilibrium. The samples’ photocatalytic activities were then evaluated under visible light (λ > 420 nm). Figure 7a shows the NO removal efficiencies (1 − C/C0) of all samples with the irradiation time. The NO removal efficiency was 23.0% after irradiating the CN sample for 15 min. However, the removal efficiency drastically increased to 41.6, 46.2, and 41.2% over DCN, DCN-O-R, and DCN-O-P, respectively, within the same period of reaction time. Obviously, DCN and DCN-x samples can remove NO more efficiently than CN. Among them, DCN-O-R has the best photocatalytic performance, and its photocatalytic NO removal activity is twice that of CN’s activity. Notably, the removal efficiency of DCN and DCN–x are slightly different, implying that the –C≡N groups are the remarkable factor for the enhanced charge separation and transfer, which can significantly improve the photocatalytic performance of g-C3N4.
In addition to following the NO concentration during the photocatalytic process, the NO2 concentration was also surveyed (Figure 7b). For CN, the NO2 concentration gradually increased with time. The NO2 concentration and conversion efficiency in the aforementioned photocatalytic system was ~98 ppb and 49%, respectively, after 15 min of irradiation time. Obviously, NO2 is a significant byproduct of the photocatalytic conversion of NO over the CN sample. The concentration of NO2 generated over DCN was approximately 140 ppb within a removal efficiency of 39%. After secondary calcination at different atmospheric conditions, DCN-O-R and DCN-O-P produced 19 and 103 ppb of NO2 concentrations, respectively, in the system, where the removal efficiency decreased to 4.8 and 31%, respectively. From the abovementioned photocatalytic results and structural information, it can be claimed that the concentration of –C≡N functional groups in the DCN and DCN–x samples are quite similar. Also, DCN-O-R and DCN-O-P possess similar amounts of nitrogen vacancies, which are substantially greater than that of DCN. The concentrations of hydroxyl functional groups in the three samples differ significantly. Meanwhile, the photocatalytic NO removal activity of DCN and DCN–x are close together, while the amounts of NO2 generated over the aforementioned samples are quite different. This shows that the –C≡N groups are the main factor for the improvement of photocatalytic NO removal activity, while they do not play a major role in the enhancement of further reactions to NO3−. Moreover, the NO conversion rate and NO2 generation were not necessarily controlled by the change in nitrogen vacancy concentrations in the photocatalytic structures. Interestingly, the –OH group concentrations of the samples favorably affected the NO2 generation rate during the photocatalytic NO removal. As a key point in our findings, –OH should be co-functionalized with the cyano groups on the graphitic carbon nitride nanosheets to efficiently inhibit the generation of NO2.
In order to find a logical explanation for the NO2 inhibition over DCN-O-R during the photocatalytic NO conversion, it is helpful to explore the types of ROS produced in various photocatalytic systems. The effect of cyano and hydroxyl groups on changing the reaction yield and selectivity can be appropriately discussed based on the types of available ROS. First, the generation of H2O2 in the presence of different samples was scanned by a fluorophotometer. As shown in Figure 8a–c, the signals related to H2O2 in all samples gradually increases with the irradiation time. The production of H2O2 in the DCN system is higher than that of DCN-O-R, but much higher than that of CN. The other types of ROS in our systems were explored by DMPO– and TEMPO–assisted ESR. As shown in Figure 8d, the peaks with intensities of 1:1:1:1 are attributed to DMPO–•O2−. The weak DMPO–•O2− signal was detected in the CN system. In the DCN and DCN-O-R systems, the intensity of the signals significantly increases, implying that a large number of •O2− radicals are injected into the photocatalytic reaction. The signals detected in the DCN system are slightly stronger than that of the DCN-O-R. As shown in Figure 8e, there is no signal for •OH in the CN, DCN and DCN-O-R systems during the photocatalytic reaction. Since the valence band positions of the samples (1.93 V vs. NHE, pH = 7) are more negative than the standard redox potential of H2O/•OH (2.7 V vs. NHE, pH = 7), the •OH radicals cannot be generated in the systems. The TEMPO–assisted ESR technique was employed to detect singlet oxygen (1O2). As shown in Figure 8f, the peaks with intensities of 1:1:1 in our systems under dark conditions are attributed to TEMPO–1O2. This signal in the CN system is much stronger than that observed for the DCN and DCN-O-R, and there is no change after illumination. This shows that 1O2 cannot be produced in the photocatalytic process over CN. The signals of the DCN and DCN-O-R disappeared after illumination, which may be due to the quenching of 1O2 in the systems. Photoluminescence (PL) was used to evaluate the recombination efficiency of the photogenerated electron–hole pairs. As shown in Figure 8g, compared with CN, the emission peaks appearing at ~470 nm for both DCN and DCN-O-R have low intensities and are quite similar, indicating that the recombination efficiency of photogenerated electron–hole pairs is lower. Also, the results imply that the insertion of –C≡N groups not only improves the separation efficiency of the charge carriers, but also promotes the generation of H2O2, leading to the generation of a high amount of ROS (•O2−) over the DCN and DCN-O-R. However, no new ROS species were produced by adding the –OH functional groups into the DCN-O-R. Compared with DCN, the yields of ROS over the DCN-O-R system decreased slightly, which can be attributed to the destruction of a small amount of cyano groups in the secondary calcination process. The above statements imply that the no new ROS species play a role during the NO deep oxidation over the –OH group-contained photocatalyst, which is a key point in clarifying the mechanism.
Scavenger experiments were carried out to examine the ROS and their contribution to the photocatalytic pathway. Potassium iodide (KI), potassium dichromate (K₂Cr₂O₇), p-benzoquinone (PBQ), isopropanol (IPA) and histidine (HIS) were used to scavenge h+, e−, •O2−, •OH, and 1O2 radicals, respectively. Figure 8h shows the NO removal efficiency and NO2 production yield of DCN-O-R in the presence of different scavengers. From the results, the NO removal efficiency and NO2 production rate in the presence of IPA and HIS were similar to that of the control sample, indicating that the conversion of NO is not affected by •OH and 1O2. These results are consistent with findings from the DMPO– and TEMPO–assisted ESR. The presence of PBQ, KI and K₂Cr₂O₇, however, influence photocatalytic NO removal performance significantly, implying that h+ plays a major role, and that e− and •O2− play secondary roles in NO removal over DCN-O-R. Among them, e− is the root cause of •O2− generation. As the photogenerated electrons are captured, •O2− cannot be generated. On the other hand, more additional h+ species are available to promote the photocatalytic process effectively. Therefore, it can be expected that the photocatalytic activity is higher when capturing e− compared to that of •O2− direct capture. Interestingly, it can be observed that the NO2 generation rate intensifies significantly when capturing both e− and •O2−, indicating that •O2− is the main ROS to inhibit NO2 generation. Notably, although DCN was able to generate a similar amount of •O2− in the reaction system, the NO2 generation efficiency was still high. All the above results illustrate that when •O2− exists in the photoreaction system, the –OH functional groups on the surface of carbon nitride can promote the deep oxidation of NO2 to NO3−.
In situ DRIFTS was used to dynamically survey the evolution of intermediates and final products on the surface of the photocatalysts. In this way, the mechanistic effects of functional groups on the adsorption and activation of NO on the surface can be fully clarified, revealing the detailed conversion pathway of photocatalytic NO removal. The background spectra of the photocatalysts (CN and DCN-O-R) were recorded as the baselines. NO and O2 were introduced and the “in situ” DRIFTS spectra for dark adsorption were recorded within 30 min. As shown in Figure 9a, NO is physically adsorbed on CN, so that the absorption band of NO was observed at 1085 cm−1 [57]. After NO chemisorption on the CN’s surface, cis–N2O2 and trans–N2O2 are considered to be formed, explaining the obvious absorption bands at 1045 cm−1 and 1016 cm−1, respectively. The absorption peak at 1063 cm−1 belongs to N2O22− [58]. In addition, the pyridine N atoms donate lone pair electrons to the O2 molecules to produce •O2− radicals, which can oxidize N2O2 to NO2. The appearance of an absorption band at 896 cm−1 can be assigned to the adsorption of NO2 in the form of N2O4 on the surface of CN [21]. The NO adsorption pattern of DCN-O-R is quite different from that of CN. According to Figure 9c, the physical adsorption of NO on DCN-O-R can be illustrated based on the absorption band at 1085 cm−1 [21]. The sharp band at 1193 cm−1 describes the nitrite generated following the NO chemisorption on the DCN-O-R surface [59]. Meanwhile, the absorption band of NO2− can be observed at 891 cm−1 [60]. The obtained results show that the NO oxidation reaction can proceed slowly in the absence of illumination. In addition, an obvious absorption band is observed at 2131 cm−1, which is related to the adsorbed intermediate species –C≡N–NO.
In situ DRIFTS was also used to monitor the photocatalytic NO conversion process on CN and DCN-O-R under visible light irradiation. The photocatalytic NO conversion on CN is shown in Figure 9b. The intensities of all peaks are reduced as compared to the dark adsorption procedure, demonstrating that the intermediates adsorbed on the CN surface tended to be oxidized to NO2 by h+ during the photocatalytic process. However, the absorption peaks of DCN-O-R are different from those of CN. In situ DRIFTS spectra of the photocatalytic conversion products of NO on DCN-O-R are shown in Figure 9d. The stretching vibration of monodentate nitrite or chelated nitrite is thought to be the reason for the appearance of the peak at 870 cm−1 [57]. The new peaks at 983, 988, 1043, 1057, and 1116 cm−1 are correlated to the stretching vibration of chelated bidentate nitrate, monodentate nitrate, and bridging nitrate [21,55,58]. As shown in Figure 9e,f, the absorption band at 1580–1420 cm−1 is attributed to nitrate. The peak present at 1239 cm−1 is attributed to N2O5 [58]., and N2O is responsible for the new peak at 2172 cm−1 [21]. Meanwhile, the new peak observed at 1142 cm−1 is due to NO−/NOH [61]. The peak intensity at 2131 cm−1 increased significantly with time, indicating that the adsorption and activation of NO molecules on –C≡N groups of DCN-O-R are significantly improved. Additionally, we found another extra peak at 2215 cm−1 which could correspond to the NO+ free ions formed by the oxidation of adsorbed NO by photogenerated h+ on the surface [61]. As shown in Figure 9g,h, the negative band at 3500 cm−1 is attributed to the negative peak of the –OH stretching vibration, which may be due to the loss of the H atoms of hydroxyl groups. The negative band present at 916 cm−1 is attributed to the loss of the H atoms of the hydroxyl group [62].
Based on the results of trapping experiments and in situ DRIFTS, a plausible mechanism can be proposed, as indicated in Figure 10. For the photocatalytic NO removal over DCN-O-R, both the N atoms of NO and the C atoms of –C≡N groups contain an unpaired electron, which can form a C–NO chemical bond through coupling [59]. However, the photogenerated electron–hole pairs are produced as DCN-O-R’s surface absorbs the visible light photons. e− and h+ migrate from the bulk to the surface. The –C≡N groups can promote the conversion of O2 adsorbed on the DCN-O-R surface with e− to form •O2−. Meanwhile, the NO adsorbed on the –C≡N groups are further oxidized to NO2 by h+. Subsequently, NO2 can adsorb on the –OH groups of DCN-O-R and be further oxidized by •O2− to form the final product (NO3−).

3. Experimental Section

3.1. Chemical and Reagents

Analytical-grade solvents and reagents were all utilized without additional purification. Ammonium chloride was purchased from Shanghai Macklin Biotechnology Co., Ltd (Shanghai, China), and melamine was purchased from Sigma-Aldrich (St. Louis, MO, USA). During the studies, deionized (DI) water (18 μS/cm) was utilized.

3.2. Preparation of the Photocatalysts

g-C3N4 modified with cyano and hydroxyl groups was synthesized using melamine as a precursor and ammonium chloride as the bubbling template. Typically, 1 g of melamine and 6 g of ammonium chloride were finely mixed together in a mortar. The mixture was heated to 550 °C for 4 h in a muffle furnace under air conditioning. The heating rate was 5 °C∙min−1. The product was washed with water in order to remove the salt remnant and dried at 60 °C for 12 h. This sample was denoted as DCN. The pristine g-C3N4 was synthesized in the absence of ammonium chloride and denoted as CN.
An amount of 0.6 g of DCN was heated again at 550 °C for 1 h in an uncovered crucible at air to denote DCN-O-R. To obtain a sample of DCN-O-P which benefited from nitrogen vacancies, a similar procedure was repeated in a covered crucible.

3.3. Characterization

The crystal phases of the samples were examined by X-ray diffraction (XRD) using Cu Kα radiation (model D/max2200PC, Rigaku Co., Tokyo, Japan). The morphology was determined using transmission electron microscopy (TEM, JEM–2010, JEOL Japan Electronics Co., Ltd, Tokyo, Japan). The Autosorb–IQ–MP gas sorption analyzer (ASAP 2460, Micromeritics, Norcross, GA, USA) was utilized to determine the samples’ Barret-Joyner-Halenda (BJH) pore size distribution and Brunauer-Emmett-Teller (BET) specific surface area using N2 as the adsorbate. The BET specific surface area and BJH pore size distribution data can be automatically output by the specific surface area analyzer. According to the BET theory, the single-layer adsorption capacity Vm can be calculated as p/V(p0 − p) = 1/Vm + (C − 1)/VmC·p/p0. Then, the specific surface area can be calculated according to the formula: S = Vm/22400·NAσm. The pore size distribution can be obtained based on the BJH calculation method: ln(p/p0) = −2γm/RTρ·1/r. Utilizing Al Kα X-rays (hv = 1486.6 eV) at 150 W (AXIS Supra, Kratos, Manchester, UK), X-ray photoelectron spectroscopy (XPS) was used to examine the elemental composition and chemical state of the components. Fourier transform infrared (FT–IR) spectra were obtained using a Brucker (Vertex70, Bruker Corporation, Billerica, MA, USA) spectrophotometer with KBr serving as the reference material. A UV–Vis spectrophotometer (UV–3700, Shimadzu Corporation, Kyoto, Japan) was used to measure the light absorption capacity using UV–Vis diffuse-reflectance spectrometry (UV–Vis DRS) spectra. Using a fluorescence spectrophotometer (LabRAM HR Evolution, Horiba Jobin Yvon, Paris, France) with an excitation wavelength of 420 nm, the photoluminescence (PL) spectra were captured. Using a Bruker ESP 500 spectrometer (Bruker Corporation, Billerica, MA, USA), the electron paramagnetic resonance (EPR) technique was used to identify the nitrogen vacancies and photo-induced reactive oxygen species (ROS) such as •OH, •O2− and 1O2.

3.4. Photocatalytic Performance Tests

As shown in Figure A1, in a continuous flow reactor, the samples’ photocatalytic activity was assessed for the elimination of NO at the ppb level using a 300 W Xenon lamp fitted with a 420 nm cut-off filter. To create a homogenous suspension, 50 mg of the sample was first dispersed in 5 mL of 100% ethanol in a Petri dish (R = 6 cm) for 10 min. The solvent was then evaporated by drying the mixture at 60 °C. Finally, the Petri dish was placed within a quartz-covered 0.785 L (R = 5 cm, L = 10 cm) glass reactor. The mixture of NO and air flows continuously into the reactor, and the NO concentration is controlled at about 800 ppb by adjusting the NO flow rate at 0.284 L∙min−1. The O2 flow rate was set to 1.29 L∙min−1 through the mass flow controller. Concentrations of NO and NO2 were monitored in situ by an NOx analyzer (Model 42i, Thermo Fisher Scientific, Waltham, MA, USA). The photocatalytic reaction is initiated by turning on the vertically positioned xenon lamp above the reactor, following the attainment of the adsorption-desorption equilibrium. The efficiency of photocatalytic NO removal was calculated (η) according to the equation: η = (1 − C/C0) × 100%, where C0 and C represent the initial and real-time NO concentrations, respectively.

3.5. Active Species Scavenging Experiments

Active species capture experiments were used to elucidate the functions of various radicals and charge carriers in the photocatalytic removal of NO at ambient temperature. The scavenging agents, potassium iodide (KI), potassium dichromate (K2Cr2O7), tert-butanol (TBA), p-benzoquinone (PBQ) and histidine (HIS), were added to the system containing the DCN-O-R sample. During the photocatalytic reactions, they functioned to capture the photogenerated holes (h+), electrons (e−), hydroxyl (•OH), superoxide (•O2−) and singlet oxygen (1O2) radicals, respectively. The reaction was followed within the same irradiation time of the control experiment to compare the removal efficiencies.

3.6. Fluorophotometric Measurements of H2O2

Place 50 mL of H2O and 50 mg of catalyst in a beaker. Stir for 30 min under dark conditions. Take 3 mL of suspension and filter the catalyst. Add 100 uL (0.1 g/L) of horseradish enzyme to the liquid, wait for 10 min, H2O2 reacts with horseradish enzyme to generate fluorescence signals. Then, add 1 mL of NaOH (0.1 mol) to stop the reaction. Turn on the light and take a sample every 10 min according to the above method. Using fluorescence spectrophotometry for testing, set the excitation wavelength at 409 nm and the emission wavelength at 326 nm.

4. Conclusions

Selective photocatalytic conversion of NO was explored over g-C3N4 co-functionalized with –C≡N and –OH groups under visible light. DCN-O-R was able to remove NO pollutant twice as efficiently as pristine CN. The production efficiently of the toxic intermediate NO2 in the presence of DCN-O-R as the photocatalyst was 4.8%, which was significantly lower than that of CN (49%). The mechanistic effects of the functional groups on the photocatalytic NO selective conversion were investigated making use of a combined theoretical–experimental approach. The results indicate that the –C≡N group caused an intermediate energy level in the DCN-O-R sample, thereby ameliorating the light-harvesting properties of the photocatalyst. In addition, the –C≡N groups effectively inhibited the recombination of photogenerated electron–hole pairs and introduced a large amount of effective ROS (•O2−) into the system. NO adsorbed on the –C≡N sites can be oxidized by h+ to form a toxic byproduct, (NO2). The –OH groups promoted further oxidation of NO2 to NO3−, where •O2− played a major role. The present work not only provides a novel strategy to design efficient photocatalysts towards the heterogeneous selective oxidation of NO, but also provides molecular level insights into the correlation between surface functional groups and photocatalytic pathways to inhibit toxic intermediates.

Author Contributions

Conceptualization and Methodology, H.W. and C.W.; Software, H.W.; Validation, H.W.; Data curation, H.W.; Writing—Original draft preparation, H.W.; Visualization and Investigation, H.W., X.X., A.L., S.W., H.R.; Supervision, C.W., Y.H., A.A.A. and A.R.; Writing—Reviewing and Editing, H.W., C.W., M.P. and S.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (Nos. 52161145409, 21976116), Iranian National Science Foundation (Grant No. 4001153), and Researchers Supporting Project number (RSPD2023R691), King Saud University, Riyadh, Saudi Arabia.

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Catalysts 13 01433 g0a1
Figure A1. The reaction device diagram.
Figure A1. The reaction device diagram.
Catalysts 13 01433 g0a1
Catalysts 13 01433 g0a2
Figure A2. (a) Nitrogen adsorption-desorption isotherms; and (b) BJH pore size distribution of CN, DCN and DCN–x samples.
Figure A2. (a) Nitrogen adsorption-desorption isotherms; and (b) BJH pore size distribution of CN, DCN and DCN–x samples.
Catalysts 13 01433 g0a2
Table A1. Table with the ratios of N–to–C and O–to–C in all four catalysts.
Table A1. Table with the ratios of N–to–C and O–to–C in all four catalysts.
PhotocatalystsN/CO/C
CN1.1900.053
DCN1.1760.053
DCNO-P1.1730.063
DCNO-R1.0490.069
Catalysts 13 01433 g0a3
Figure A3. XPS Survey spectrum of CN, DCN, and DCN–x samples.
Figure A3. XPS Survey spectrum of CN, DCN, and DCN–x samples.
Catalysts 13 01433 g0a3

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Figure 1. The synthesis process of cyano-group-modified g-C3N4 (DCN) and g-C3N4 modified with cyano/hydroxyl groups of different hydroxyl concentrations (DCN–x).
Figure 1. The synthesis process of cyano-group-modified g-C3N4 (DCN) and g-C3N4 modified with cyano/hydroxyl groups of different hydroxyl concentrations (DCN–x).
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Figure 2. (a) XRD patterns; and (b) enlarged XRD patterns of g-C3N4 (CN), DCN and DCN–x samples.
Figure 2. (a) XRD patterns; and (b) enlarged XRD patterns of g-C3N4 (CN), DCN and DCN–x samples.
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Figure 3. TEM images of cyano/hydroxyl-group-modified g-C3N4 (DCN-O-R) (a,b) at different magnifications.
Figure 3. TEM images of cyano/hydroxyl-group-modified g-C3N4 (DCN-O-R) (a,b) at different magnifications.
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Figure 4. (a) FT–IR spectra; (b) enlarged FT–IR spectra in the range of 1000 to 2000 cm−1; high-resolution XPS spectra of (c) C 1 s; (d) N 1 s; and (e) O 1 s of CN, DCN and DCN–x samples.
Figure 4. (a) FT–IR spectra; (b) enlarged FT–IR spectra in the range of 1000 to 2000 cm−1; high-resolution XPS spectra of (c) C 1 s; (d) N 1 s; and (e) O 1 s of CN, DCN and DCN–x samples.
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Figure 5. EPR spectra of CN, DCN and DCN–x samples.
Figure 5. EPR spectra of CN, DCN and DCN–x samples.
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Figure 6. (a) UV–Vis DRS; (b) plots of (ahυ)1/2 versus (hυ); (c) XPS valence band spectra; and (d) electronic band structure of CN and DCN–x samples.
Figure 6. (a) UV–Vis DRS; (b) plots of (ahυ)1/2 versus (hυ); (c) XPS valence band spectra; and (d) electronic band structure of CN and DCN–x samples.
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Figure 7. (a) Photocatalytic NO removal efficiency; and (b) the variation of NO2 yields over the prepared photocatalysts.
Figure 7. (a) Photocatalytic NO removal efficiency; and (b) the variation of NO2 yields over the prepared photocatalysts.
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Figure 8. The generation of the H2O2 in: (a) CN; (b) DCN; (c) DCN-O-R system; (d) DMPO spin-trapping ESR for •O2− detection; (e) DMPO spin-trapping ESR for •OH detection; (f) TEMPO spin-trapping ESR for 1O2 detection; (g) PL spectra of CN, DCN and DCN-O-R; and (h) the capture experiments for photocatalytic NO removal over DCN-O-R.
Figure 8. The generation of the H2O2 in: (a) CN; (b) DCN; (c) DCN-O-R system; (d) DMPO spin-trapping ESR for •O2− detection; (e) DMPO spin-trapping ESR for •OH detection; (f) TEMPO spin-trapping ESR for 1O2 detection; (g) PL spectra of CN, DCN and DCN-O-R; and (h) the capture experiments for photocatalytic NO removal over DCN-O-R.
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Figure 9. In situ DRIFTS spectra of NO adsorption (a,c, for CN and DCN-O-R, respectively) and visible light photocatalytic process (b,d, for CN and DCN-O-R, respectively). (e,f) absorption bands and (g,h) negative bands
Figure 9. In situ DRIFTS spectra of NO adsorption (a,c, for CN and DCN-O-R, respectively) and visible light photocatalytic process (b,d, for CN and DCN-O-R, respectively). (e,f) absorption bands and (g,h) negative bands
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Figure 10. Proposed photocatalysis mechanism of NO conversion over CN and DCN-O-R.
Figure 10. Proposed photocatalysis mechanism of NO conversion over CN and DCN-O-R.
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MDPI and ACS Style

Wang, H.; Xu, X.; Labidi, A.; Ren, H.; Allam, A.A.; Rady, A.; Huang, Y.; Wei, S.; Padervand, M.; Ghasemi, S.; et al. Cyano/Hydroxyl Groups Co-Functionalized g-C3N4 for Photocatalytic NO Removal: A Synergistic Strategy towards Inhibition of Toxic Intermediate NO2. Catalysts 2023, 13, 1433. https://doi.org/10.3390/catal13111433

AMA Style

Wang H, Xu X, Labidi A, Ren H, Allam AA, Rady A, Huang Y, Wei S, Padervand M, Ghasemi S, et al. Cyano/Hydroxyl Groups Co-Functionalized g-C3N4 for Photocatalytic NO Removal: A Synergistic Strategy towards Inhibition of Toxic Intermediate NO2. Catalysts. 2023; 13(11):1433. https://doi.org/10.3390/catal13111433

Chicago/Turabian Style

Wang, Hui, Xiaoqian Xu, Abdelkader Labidi, Haitao Ren, Ahmed A. Allam, Ahmed Rady, Yu Huang, Shuwei Wei, Mohsen Padervand, Shahnaz Ghasemi, and et al. 2023. "Cyano/Hydroxyl Groups Co-Functionalized g-C3N4 for Photocatalytic NO Removal: A Synergistic Strategy towards Inhibition of Toxic Intermediate NO2" Catalysts 13, no. 11: 1433. https://doi.org/10.3390/catal13111433

APA Style

Wang, H., Xu, X., Labidi, A., Ren, H., Allam, A. A., Rady, A., Huang, Y., Wei, S., Padervand, M., Ghasemi, S., & Wang, C. (2023). Cyano/Hydroxyl Groups Co-Functionalized g-C3N4 for Photocatalytic NO Removal: A Synergistic Strategy towards Inhibition of Toxic Intermediate NO2. Catalysts, 13(11), 1433. https://doi.org/10.3390/catal13111433

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