Available online at website: https://journal.bcrec.id/index.php/bcrec Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4) 2025, 582-593 Original Research Article Green Synthesis of Chitosan-Assisted ZnO Nanoparticles and Their Photocatalytic Application in ZnO/TiO₂ Composites for Isopropanol Degradation Le H. Hoang1,a, Ho G. Quynh1,a, Mai H. Nghi1, Nguyen T. T. Phuong1, Ngo T. H. Duong1,2, Nguyen Q. Long1,2,* 1Faculty of Chemical Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, Ho Chi Minh City, Vietnam 2Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam. Received: 2nd July 2025; Revised: 31th August 2025; Accepted: 5th September 2025 Available online: 8th September 2025; Published regularly: December 2025 Abstract Nano-sized ZnO particles were successfully synthesized via a green, efficient, and chitosan-assisted method, which is both cost-effective and environmentally friendly. The nanoscale characteristics of the synthesized particles were confirmed through various analytical techniques, including X-ray diffraction (XRD), scanning electron microscopy (SEM), nitrogen adsorption–desorption isotherms, diffuse reflectance spectroscopy (DRS), and Fourier-Transform Infrared Spectroscopy (FTIR). This study primarily investigated the photocatalytic performance of ZnO/TiO₂ composites prepared by a simple mechanical mixing approach for the degradation of isopropanol (IPA) in a continuousflow system under UVA irradiation at room temperature. A range of experimental conditions, including initial IPA concentrations, gas flow rates, relative humidity levels, and the number of UV lamps, were systematically explored. The mechanically mixed ZnO/TiO₂ nanomaterial exhibited enhanced photocatalytic activity compared to pure ZnO. Notably, while commercial TiO₂ showed reduced IPA removal efficiency under humid conditions, the ZnO/TiO₂ composite maintained superior performance, achieving a removal efficiency of 45% over a 3-hour period at 30% relative humidity with an inlet IPA concentration of about 1200 ppmv, a flow rate of 3 L/h, and illumination by four UV lamps. Copyright © 2025 by Authors, Published by BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0). Keywords: Nanoparticle; ZnO; ZnO/TiO2; Photocatalysis; IPA How to Cite: Hoang, L. H., Nghi, M. H., Quynh, H. G., Phuong, N. T. T., Duong, N. T. H., Long, N. Q. (2025). Green Synthesis of Chitosan-Assisted ZnO Nanoparticles and Their Photocatalytic Application in ZnO/TiO2 Composites for Isopropanol Degradation. Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 582-593. (doi: 10.9767/bcrec.20431) Permalink/DOI: https://doi.org/10.9767/bcrec.20431 1. Introduction The rapid expansion of global industries has driven excessive consumption of fossil fuels, raw materials, and industrial chemicals, resulting in significant emissions of harmful gases, particularly volatile organic compounds (VOCs). Existing VOC control technologies are often insufficiently effective or poorly implemented, * Corresponding Author. Email: nqlong@hcmut.edu.vn (N.Q. Long) a Le H. Hoang and Ho G. Quynh contributed equally to this work as first authors. worsening air pollution and posing serious risks to public health. Consequently, substantial research has focused on developing advanced VOC mitigation technologies that meet increasingly stringent environmental standards. Strategies to reduce VOC emissions follow two main approaches: source reduction and end-of-pipe treatment. Early efforts prioritized improving processes, equipment, and raw materials to minimize VOC generation, prevent leakage, and limit volatilization. VOC treatment methods are generally classified into recovery-based (adsorption, bcrec_20431_2025 Copyright © 2025, ISSN 1978-2993; CODEN: BCRECO Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 2025, 583 absorption, condensation, membrane separation) and destruction-based (biofiltration, oxidation) techniques. On the one hand, recovery-based approaches can be effective but often face high operational costs, complex waste management, or energy-intensive requirements [1,2]. On the other hand, among destruction methods, biofiltration offers low-cost and eco-friendly operation but is limited by slow, selective degradation [3]. Besides, catalytic oxidation stands out for its high efficiency, low byproduct formation, and lower operating temperatures [4]. In particular, photocatalytic oxidation has emerged as a highly promising strategy, enabling VOC mineralization into CO₂ and water under ambient conditions with minimal secondary pollution. Its widespread application, however, hinges on the development of robust, cost-effective catalysts with high activity and stability. Numerous studies have demonstrated that TiO₂ is a highly active semiconductor photocatalyst suitable for the treatment of a wide range of contaminants in both liquid and gaseous phases. The photocatalytic mechanism of TiO₂ can be described by the following reactions and Figure 1 [5,6]. TiO2 + ℎ𝑣 → 𝑒 − (TiO2 ) + ℎ+ (TiO2 ) (1) 𝐻+ 𝑒 − ,𝐻 + −  (O2 )𝑎𝑞 + 𝑒𝐶𝐵 → O− H2 O2 2 → HO2 → − − • H2 O2 + O2 → OH + OH + O2 ℎѵ H2 O2 → 2OH  + + • O2− s + H + ℎ𝑉𝐵 → OH • OH + VOCs + O2 → CO2 + H2 O (2) (3) (4) (5) (6) However, a major drawback of semiconductor photocatalysis is the rapid recombination of photogenerated electron–hole pairs, which significantly limits photocatalytic efficiency. This limitation can be addressed through various enhancement strategies, such as doping the semiconductor with non-metal impurities [7], incorporating transition metals [8], and using composite semiconductors [9]. One effective way to enhance photocatalytic efficiency is by designing well-engineered heterojunction photocatalysts, where the interface between two semiconductors with different band structures promotes charge separation and transfer [10] . In fact, nano-sized semiconductors have been shown to effectively enhance the photocatalytic activity of heterojunction systems, because nanostructured materials offer a significantly higher specific surface area compared to their bulk counterparts. When the size of the nanoparticles approaches the quantum confinement limit, the electrons become confined within extremely small spatial regions, comparable to or smaller than the electron’s de Broglie wavelength. This spatial confinement alters the electronic energy levels within the material, resulting in distinct properties compared to those observed in the bulk state. Previously, our research team used TiO2 and carbon quantum dots (CQDs) to deal with the rapid combination of e-/h+. However, CDs/TiO2 photocatalysts still have certain limitations, including low surface area per unit mass, low affinity for organic compounds, and difficulties with recovery and reuse (the catalysts' tendency to agglomerate and clump together prevents light from reaching the active centers on their surface) [11]. Recently, ZnO nanoparticles (NPs) presents a promising alternative, offering advantages such as low capital and operating costs, mild reaction conditions, and the capability to degrade a wide range of hazardous organic compounds in water into CO₂ and H₂O [12]. ZnO has also been extensively studied due to their outstanding Figure 1. Photocatalytic mechanism for TiO2. Copyright © 2025, ISSN 1978-2993 Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 2025, 584 properties in fields, such as gas sensors [13], optical and electronic devices [14], solar cells [15], drug delivery [16], antibacterial materials [17], and photocatalysis [18]. Furthermore, in recent years, numerous studies have demonstrated the effectiveness of ZnO as a semiconductor component in heterojunction systems for the efficient degradation of various types of pollutants [13,19]. Therefore, this study investigates the photocatalytic efficiency of a heterojunction system constructed using nanosized ZnO particles. In fact, the similarity in bandgap energies and the alignment of the conduction and valence bands between ZnO and TiO₂ facilitate the efficient transfer of electrons and holes, enabling the formation of effective heterojunctions between the two materials [20-22]. The difference in conduction band positions between ZnO and TiO₂ enables the photogenerated electrons in ZnO to rapidly transfer to TiO₂ upon light absorption. This electron migration promotes efficient charge separation and reduces the recombination rate of electron–hole pairs at the surface. Additionally, the incorporation of ZnO into TiO₂ introduces defects and impurities into the TiO₂ bandgap, which can effectively narrow its bandgap and lower the excitation energy required for the composite material [23]. Unlike most previous studies on ZnO/TiO₂ catalysts, which typically rely on conventional chemical or energy-intensive synthesis routes, this study introduces a green and efficient chitosan-assisted method for producing nanosized ZnO. To the best of our knowledge, this simple and novel approach has not been reported before. The as-synthesized ZnO was mechanically combined with TiO₂ and the composite’s photocatalytic performance was tested against isopropanol, a common VOC, to demonstrate its potential for air pollution control. 2. Materials and Methods 2.1 Syntheses and Characterization of Nano ZnO/TiO2 All chemicals were used without further purification and were purchased from commercial suppliers as follows: zinc(II) chloride (ZnCl₂, >98%), acetic acid (>99.5%), and sodium hydroxide (NaOH, >99%) were obtained from Xilong Co., while titanium dioxide (TiO₂) and chitosan were sourced from commercial vendors. In terms of the catalyst synthesis, initially, 5 g of ZnCl₂ was weighed and dispersed in 100 mL of 1% (v/v) acetic acid, followed by sonication in an ultrasonic bath for 15 minutes. Separately, a 1% (w/v) chitosan solution was prepared by dissolving 1 g of chitosan in 1% acetic acid. The two solutions were then combined, adjusted to pH of 5, and stirred at 45 °C for 22 hours. Subsequently, 1 M NaOH was added dropwise to the mixture until the pH reached 10, while maintaining stirring at room temperature. The mixture was aged for an additional 22 hours at room temperature. The resulting solution was filtered and thoroughly washed with distilled water to remove unreacted chitosan and byproducts such as NaCl. The obtained white precipitate was dried at 80 °C for 16 hours. Finally, the dried material was calcined by heating at a rate of 50 °C per 20 minutes up to 550 °C, and then held at this temperature for 3 hours to produce nanosized ZnO. Next, the mechanical mixing samples were made by physically mixing nano-ZnO and TiO₂ powders in different weight ratios. The mixture was dispersed in 2 mL of pure ethanol (>99.5%) and sonicated for 15 minutes. Subsequently, the samples were heated at 200 °C for 1 hour to evaporate the solvent and remove any adsorbed substances from the surface. Each mixture was applied in successive layers onto the outer surface of a glass tube via the rotary spray-coating technique. During coating, the glass tubes were positioned horizontally and rotated at 140 rpm. The coated catalysts were then heated at 200 °C for 1 hour to activate them prior to the reaction tests. The samples are denoted as M-a:b, where a and b represent the weight fractions of ZnO and TiO₂ in the sample, respectively. Table 1 clearly presents the masses of ZnO and TiO₂ in the different composites. The structural and physicochemical properties of the prepared catalysts were thoroughly characterized using a combination of analytical techniques. X-ray Powder Diffraction (XRD) analysis was performed using a D2 Phaser instrument (Bruker, Germany) with monochromatic Cu-Kα radiation (λ = 1.5406 Å), scanning in step-scan mode (Δ2θ = 0.05°) over the 2θ range of 10°–80°, to identify crystalline phases and estimate crystallite size. Furthermore, surface area and porosity were determined by nitrogen adsorption–desorption analysis using a NOVA 2200e Quantachrome 10.0 instrument. The Brunauer–Emmett–Teller (BET) method was applied to the adsorption data in the relative pressure range of 0 to 1 to calculate specific surface areas. Moreover, the surface morphology and particle size distribution were examined Table 1. Mass of ZnO and TiO2 in composite. Sample M-1:0 M-1:1 M-1:3 M-3:1 M-0:1 Copyright © 2025, ISSN 1978-2993 Weight (g) ZnO TiO2 0.2 0 0.1 0.1 0.05 0.15 0.15 0.05 0 0.2 Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 2025, 585 using Scanning Electron Microscopy (SEM) with a JSM-IT200 instrument (JEOL, Japan). In addition, optical properties were investigated using Diffuse Reflectance Spectroscopy (DRS) on a UV-2600 spectrophotometer (Shimadzu, Japan), equipped with an integrating sphere accessory (ISR-2600 Plus). Measurements were conducted in the wavelength range of 220–1400 nm, using halogen and deuterium lamps as light sources and a PMT R928 detector. Besides, Fourier-Transform Infrared Spectroscopy (FTIR) analysis was carried out using an Alpha II instrument (Bruker, Germany) to identify functional groups and surface interactions. Samples were mixed with KBr, pressed into pellets, and analyzed in transmission mode over the spectral range of 4000–500 cm⁻¹. and an intensity of 1.5 W. The distance between the UV lamps and the photocatalyst surface was maintained at 2.5 cm. Under standard operating conditions with all four lamps activated, the reaction temperature stabilized at 39 °C, which was maintained by a continuous stream of cooling air provided by a fan positioned at the base of the reactor. The outlet concentration of isopropanol (IPA) during the photocatalytic process was continuously monitored using a Hewlett-Packard 5890 Series II Plus gas chromatograph equipped with a flame ionization detector (FID) and an HPPlot/Q column (30 m × 0.53 mm). The investigation was carried out to investigate the effect of the ZnO/TiO₂ mixing ratio. the initial VOC concentration, relative humidity, and UV intensity, on the photocatalytic activity of the material. 2.2 Photocatalytic Activity Measurement The photocatalytic oxidation system was designed to simulate atmospheric conditions suitable for the investigation. Two high-pure gas sources, nitrogen (N₂) and oxygen (O₂) with purities above 99.99%, were mixed at a 4:1 volume ratio to approximate the composition of air. The nitrogen stream was further divided into three separate flows: (1) one stream was passed through a container containing IPA to generate a VOCladen stream at the desired concentration, (2) another stream was directed through distilled water to introduce water vapor into the system, and (3) a third stream of pure nitrogen was used to dilute the IPA concentration as needed. All gas streams, including oxygen, were precisely controlled using flowmeters and then combined in a mixing vessel to ensure a stable and homogeneous gas mixture before entering the photocatalytic reactor. The mixed gas stream was then passed through the photocatalytic reactor, which was irradiated by four Sanko Denki F10T8BLB lamps with a wavelength of 352 nm 3. Results and Discussion 3.1. Characterization of the Materials Regarding the XRD results, Figure 2.a and Figure 2.b illustrate the XRD patterns of M-1:0 and M-0:1, respectively. Sample material M-1:0 is compatible with the ZnO crystalline phase, which has a hexagonal wurtzite structure (JCPDS number 036-1451), because it exhibits characteristic X-ray diffraction peaks at 2θ values of 31.8°, 34.4°, 36.3°, 47.6°, 56.6°, 62.9°, 66.4°, 68.0°, 69.2°, and 77.0°, which correspond to the (100), (002), (101), (102), (110), (103), (200), (112), (201), and (004) planes [24,25]. No additional peaks corresponding to other crystalline phases were observed when compared with the standard diffraction patterns, indicating the purity of the synthesized materials. For the M-0:1 sample, which served as the catalyst, the XRD spectrum exhibited distinct diffraction peaks at 25.5° and 38°, characteristic of the anatase phase of TiO₂, consistent with the JCPDS reference pattern No. Figure 2. (a) XRD patterns of M-1:0; b) XRD patterns of M-0:1. Copyright © 2025, ISSN 1978-2993 Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 2025, 586 021-1272 [26], as well as a peak at 27.6°, corresponding to the rutile phase of TiO₂ (JCPDS No. 029-1360) [27]. From the XRD results of the M-1:0 sample, the average crystal size was determined using the Scherrer equation [28] giving a value of 22 nm. While this method is simple and widely used, it assumes negligible lattice strain and is best suited for relatively simple crystal structures. For the nitrogen adsorption-desorption analysis, the specific surface area was determined using the BET model. The M-1:0 sample exhibited a BET surface area (SBET) of 16.4 m²/g. Based on the equation: 𝐷 = 6000/(𝑑BET × 𝜌) , where the density of ZnO is 5.606 g/cm³, the average particle size was estimated to be approximately 65 nm. The synthesis process for nano-sized ZnO particles was effective in producing the M-1:0 material with a significantly smaller particle size compared to the pristine ZnO sample, which had a particle size of 454 nm and an SBET of 2.4 m²/g [29]. The difference between the average grain size calculated using the BET equation and the values obtained from XRD analysis can be attributed to the tendency of crystals to agglomerate during heat treatment, resulting in larger grain sizes. Table 2 presents the specific surface areas of the three investigated materials. Among them, sample M-0:1 exhibited the highest specific surface area of 49.44 m²/g, approximately three times greater than that of sample M-1:0. This result indicates a superior adsorption capacity of M-0:1, suggesting its ability to accommodate a larger quantity of adsorbates on its surface. In comparison, sample M-1:3 showed a specific surface area of 31.26 m²/g, which is higher than that of M-1:0 but lower than M-0:1. This observation suggests that the mechanical mixing process may induce aggregation and rearrangement of particles, increasing the average particle size and reducing the number of voids and interparticle contact regions. Such rearrangement may also promote the formation of intermetallic phases at specific sites. In addition, scanning electron microscopy (SEM) was employed to directly examine the morphology and crystallite size of the M-1:0 material. SEM analysis offers localized insights into the surface structure and crystal size. To ensure objectivity, the sample surface was analyzed at two different positions. Figures 3.a and 3.c confirm the uniformity of the material structure, while Figures 3.b and 3.d highlight the crystal sizes observed. The morphology visible in Table 2. Surface area of the three samples M-a:b. Sample BET specific surface area (m2/g) M-1:0 M-1:3 M-0:1 16.40 31.26 49.44 Figure 3. SEM images of sample M-1:0 at different magnifications: (a) ×40.0k, (b) ×120k, (c) ×60.0k, and (d) ×150k Copyright © 2025, ISSN 1978-2993 Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 2025, 587 SEM images is consistent with the hexagonal wurtzite structure identified via X-ray diffraction analysis. To further assess the particle size distribution, the SEM images were processed using ImageJ software. As shown in Figure 4, the majority of particles fall within the 30–50 nm range, with an average diameter of 45.25 nm. These findings confirm the successful synthesis of nano-sized ZnO/TiO₂ composite materials. Furthermore, Fourier-transform infrared (FTIR) spectroscopy was employed to conduct qualitative chemical analysis of sample M-1:0. The FTIR spectrum, presented in Figure 5, shows a distinct absorption peak at 511 cm⁻¹, which corresponds to the stretching vibrations of Zn–O bonds in the ZnO lattice [30]. The absence of additional peaks associated with organic functional groups suggests that no residual organic compounds remained in the sample following the synthesis process. In addition, diffuse reflectance spectroscopy (DRS) was used to investigate the optical properties of samples M-1:0, M-1:3, and M-0:1, as illustrated in Figure 6.a. The DRS technique provides insights into particle size effects based on the shift in absorption features. For nanomaterials, characteristic absorption edges typically shift toward shorter wavelengths (a blue shift) compared to their bulk counterparts. In this study, the absorption spectrum of sample M-1:0 exhibited a noticeable blue shift, confirming the formation of ZnO nanoparticles. According to Singh et al., the maximum absorption peak of bulk ZnO appears at 374 nm, while ZnO nanoparticles show a peak at 368 nm, indicating a reduction in particle size correlates with a decrease in the absorption wavelength. This observed shift further supports the successful synthesis of nanoscale ZnO in the M-1:0 sample [31]. From Figure 6, the maximum absorption wavelength (λAE of sample M-1:0 is observed in the range of 327–368 nm. For sample M-1:3, the absorption peak lies between 220–320 nm, while for sample M-0:1, it ranges from 220–290 nm. The band gap energy (Eg values of samples M-1:0, M-1:3, and M0:1, calculated from the Tauc plot in Figure 5.b, Figure 4. Size distribution graph of sample M-1:0. Figure 5. FTIR spectrum of sample M-1:0.sample. Figure 6 a) DRS spectra of the three samples M-a:b; b) Tauc plot of the three samples M-a:b. Copyright © 2025, ISSN 1978-2993 Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 2025, 588 are 3.12 eV, 3.20 eV, and 3.31 eV, respectively. Sample M-1:3 shows improved absorption intensity in the energy range of 200–1400 nm compared to TiO₂. Moreover, its lower band gap value compared to commercial TiO₂ suggests a higher generation of electron-hole pairs under UV light, which enhances its photocatalytic activity. The formed holes can effectively interact with adsorbates on the catalyst surface. 3.2. Effect of ZnO/TiO2 Ratio on the Catalytic Performance Figure 7.a illustrates the IPA adsorption capacity of the five samples before participating in the photocatalytic reaction. IPA adsorption on sample M-0:1 occurs rapidly and shows the highest adsorption capacity among all samples, as indicated by the low C/C₀ ratio within the first 15 minutes. This reflects a strong interaction between the catalyst and the gas molecules. In contrast, sample M-1:0 exhibits weaker adsorption, with consistently higher C/C₀ ratios during the same period, suggesting fewer interactions between the catalyst and VOC molecules. This reduced contact lowers the efficiency of the catalytic process and diminishes the material's activity. Furthermore, the surface reactions of adsorbed molecules can alter the chemical properties of the catalyst and reduce its performance. Therefore, optimizing the adsorption step is essential to improve the overall efficiency of the photocatalytic process. Figure 7.b presents the effect of different mixing ratios on the photocatalytic removal of IPA. The experiments revealed that varying the mixing ratios significantly influenced the photocatalytic performance of the composite materials. Among them, sample M-0:1 demonstrated the highest photocatalytic activity, achieving approximately 91.59% IPA removal after 45 minutes. Sample M-1:3 showed the second-highest efficiency at around 40%, while the remaining samples exhibited removal rates below 20%. These differences in activity can be attributed to the formation of the ZnO/TiO₂ heterojunction and the effect of electron-hole recombination within the semiconductor materials. The dispersion between the two phases is critical in determining photocatalytic performance, and an optimal ZnO/TiO₂ ratio exists for mechanically mixed catalysts to maximize activity. Based on these findings, M-1:3 was selected for further investigation, as it showed the most effective interaction between the two materials among the tested samples. 3.3. Effect of IPA Concentration on the Catalytic Performance of ZnO/TiO2 Figure 8.a and Figure 8.b illustrate the effects of initial IPA concentration on the adsorption capacity and photocatalytic performance of the M1:3 sample, respectively. As shown in Figure 8.a, the adsorption capacity is strongly influenced by the initial concentration of IPA. With increasing concentrations, the time required for the material to reach saturation decreases, as more IPA molecules quickly occupy and cover the available surface sites. In Figure 8.b, a clear decline in photocatalytic efficiency is observed with higher IPA concentrations. At an initial concentration of 1174 ppmv, the catalyst achieved approximately 40% removal efficiency within one hour. However, when the initial concentrations increased to 1879 ppmv and 2349 ppmv, the maximum conversion rates dropped to 27.41% and 15.5%, respectively. Although a higher concentration leads to more IPA molecules contacting the catalyst surface, it can also overwhelm the catalyst’s capacity [32]. Figure 7 a) IPA adsorption capacity over ZnO/TiO 2 samples with different ratios (CIPA: 1174 ppmv, RH=0%, N2:O2 = 8:2, Gas flow rate: 3 L/h); b) IPA removal over ZnO/TiO2 samples with different ratios (CIPA: 1174 ppmv, RH=0%, N2:O2 = 8:2, Gas flow rate: 3 L/h, 4 UV lamps). Copyright © 2025, ISSN 1978-2993 Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 2025, 589 This overload may reduce active site availability and lead to the formation of intermediate byproducts that inhibit further adsorption and reaction. As a result, the overall efficiency of VOC degradation decreases, and the photocatalytic performance, when normalized by catalyst mass, significantly declines. 3.4. Effect of Humidity Performance of ZnO/TiO2 on the Catalytic The effects of relative humidity on the IPA adsorption capacity and photocatalytic removal efficiency of the M-1:3 sample are shown in Figure 9.a and Figure 9.b, respectively. Similar to the impact of initial IPA concentration, an increase in humidity leads to a reduction in the time required to reach adsorption saturation. This can be attributed to the competitive adsorption of water vapor on the catalyst surface. Previous studies on humidity’s influence in photocatalytic VOC degradation have reported that moderate humidity levels can enhance photocatalytic activity by promoting the formation of hydroxyl (▪OH) radicals on the catalyst surface, which actively participate in VOC degradation [33]. However, when humidity becomes excessive, water molecules begin to dominate the available active sites, hindering the adsorption of IPA. This competitive effect reduces the number of IPA molecules interacting with the catalyst, ultimately lowering its photocatalytic performance. 3.5. Effect of UV Intensity on the Catalytic Performance of ZnO/TiO2 The effect of UV light intensity on IPA removal efficiency is illustrated in Figure 10. Figure 8. a) Effect of VOC concentration on IPA adsorption capacity of M-1:3 (Gas flow rate: 3 L/h, N2:O2 = 8:2, RH=0%); b) Effect of VOC concentration on IPA treatment over M-1:3 (N2:O2 = 8:2, RH=0%, Gas flow rate: 3 L/h, 4 UV lamps). Figure 9. a) Effect of relative humidity on IPA adsorption capacity of M-1:3 (CIPA = 1174 ppmv, N2:O2 = 8:2, Gas flow rate: 3 L/h); b) Effect of relative humidity on IPA treatment over M-1:3 (CIPA = 1174 ppmv, N2:O2 = 8:2, Gas flow rate: 3 L/h, 4 UV lamps). Copyright © 2025, ISSN 1978-2993 Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 2025, 590 Light intensity is a critical parameter influencing the rate of VOC degradation. As shown in the Figure 10, increasing the number of UV lamps from two to four leads to a moderate enhancement in photocatalytic efficiency. Higher UV intensity increases the excitation of electrons (e⁻) from the valence band to the conduction band, thereby generating more electron-hole pairs (h⁺). These charge carriers are essential for initiating redox reactions involved in VOC degradation. In the presence of H₂O and O₂ in the gas stream, the photocatalyst facilitates their conversion into reactive oxygen species. Specifically, H₂O is oxidized by holes to form hydroxyl radicals (▪OH), while O₂ is reduced by electrons to produce superoxide radicals (▪O₂⁻). These highly reactive species play a key role in breaking down VOCs into benign end-products such as CO₂ and H₂O [34]. However, excessive light intensity can induce an overproduction of free radicals that surpass the catalytic capacity of the material. In such cases, the excess radicals may non-selectively oxidize other substances in the gas stream, including nonharmful compounds, thus diminishing the treatment selectivity and potentially causing secondary environmental impacts. Therefore, while increased UV intensity enhances radical formation and improves VOC removal, an optimal light intensity must be determined to balance treatment efficiency and energy consumption, particularly for practical applications. operation period. However, a slight reduction in efficiency is observed for M-0:1 under 30% relative humidity compared to the results under dry conditions (as shown in Figure 6.b), where the efficiency after 60 minutes decreased from 92% to 82%. This decline can be attributed to the increased water vapor content in the gas stream at 30% humidity, which likely exceeds the optimal threshold and leads to competitive adsorption between water molecules and IPA on the catalyst surface, thereby reducing catalytic performance. In contrast, the M-1:3 sample also demonstrates stable activity throughout the reaction period. Notably, under humid conditions, M-1:3 shows a slight improvement in photocatalytic efficiency, increasing from approximately 40% to 45% compared to the dry condition. Despite this improvement, the overall photocatalytic performance of M-1:3 remains lower than that of M-0:1 under the same conditions. 4. Conclusion The comparison of photocatalytic activity between M-1:3 and M-0:1 under humid conditions is presented in Figure 11. Under identical reaction conditions, the M-0:1 sample maintains high photocatalytic efficiency and stability, achieving approximately 85% IPA removal after a 3-hour In conclusion, the successful synthesis of ZnO nanoparticles on a chitosan substrate via the precipitation method has been achieved. This approach is relatively simple and environmentally friendly compared to conventional synthesis techniques. Characterization by XRD and SEM confirmed that the particle size was within the nanoscale range of 30–50 nm. Diffuse Reflectance Spectroscopy (DRS) further revealed that the ZnO nanoparticles exhibited a maximum absorption wavelength (λAE) between 327–368 nm. Additionally, ZnO/TiO₂ nanocomposites were successfully prepared through mechanical mixing, demonstrating enhanced photocatalytic performance relative to pure ZnO. Among the tested ratios, the ZnO/TiO₂ composite with a 1:3 ratio showed improved photocatalytic activity under humid conditions, maintaining a stable Figure 10. Effect of UV intensity on IPA treatment over M-1:3 (CIPA: 1174 ppmv, N2:O2 = 8:2, RH=0%, Gas flow rate: 3 L/h). Figure 11. Comparison of IPA removal performance of M-1:3 and M-0:1 samples under humid condition (CIPA: 1174 ppmv, N2:O2 = 8:2, RH=30%, Gas flow rate: 3 L/h, 4 UV lamps). 3.6 Investigation the Photocatalytic Activity Duration over 3 hours Copyright © 2025, ISSN 1978-2993 Bulletin of Chemical Reaction Engineering & Catalysis, 20 (4), 2025, 591 efficiency of approximately 45% over a 3-hour period. However, this performance was still lower than that of pure TiO₂, which achieved up to 88% efficiency under the same conditions. Notably, TiO₂ experienced a decline in activity under humidity compared to dry environments. These findings highlight the importance of further optimizing the mixing ratio to improve photocatalytic efficiency, particularly under high humidity conditions. [4] Minh, N.T., Thanh, L.D., Trung, B.C., An, N.T., Long, N.Q. (2018). 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Declaration of Generative AI and AIAssisted Technologies in the Writing Process During the preparation of this work the authors used ChatGPT by OpenAI in order to assist in language refinement and grammar correction during manuscript preparation. After using this tool, the authors reviewed and edited the content as needed and took full responsibility for the content of the published article. CRedit Author Statement Author Contributions: Le H. Hoang: Methodology, Investigation, Formal analysis, Writing – Reviewing and Editing; Mai H. Nghi: Investigation, Formal Analysis, Data Curation; Ho G. Quynh: Writing, Review and Editing; Nguyen T. T. Phuong: Conceptualization, Methodology; Ngo T. H. Duong: Conceptualization, Methodology, Writing Review & Editing; Nguyen Q. Long: Conceptualization, Methodology, Supervision, Formal analysis, Writing - Review & Editing. All authors have read and agreed to the published version of the manuscript. References [1] Li, S., Lin, Y., Liu, G., Shi, C. 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