Open Access Article
Toton Sarkar
and
Ashis Bhattacharjee†
*
Department of Physics, Visva-Bharati University, Santiniketan–731235, India. E-mail: ashis.bhattacharjee@visva-bharati.ac.in
First published on 13th January 2026
Synthetic dyes from industrial sources, particularly textiles, are major contributors to water pollution due to their non-biodegradable and toxic nature, posing serious environmental and health hazards. Semiconductor metal oxide nanomaterials have emerged as promising photocatalysts for dye degradation, owing to their activity, stability, and tunable structural–electronic properties. This study explores the visible-light-driven photocatalytic degradation of two hazardous dyes—Rose Bengal (RB) and Methylene Blue (MB)—using green-synthesized ZnO nanoparticles (NPs). The NPs were prepared via an eco-friendly route employing Tabernaemontana divaricata flower extract, producing three distinct samples: ZnO0 (17.5 nm), ZnO10 (20.8 nm), and ZnO15 (23.3 nm). Photocatalytic performance was evaluated under varying crystallite sizes, pH, catalyst dosages, and temperatures. Results revealed that activity increased with larger crystallite size, higher catalyst dosage, and elevated temperature, attributable to enhanced surface reactivity and reduced charge carrier recombination. ZnO15 achieved the highest efficiencies—99.14% (RB) and 99.42% (MB) degradation within 90 min—under optimized conditions, with rate constants of 0.07195 min−1 and 0.06922 min−1, respectively. The degradation followed pseudo-first-order kinetics according to the Langmuir–Hinshelwood model. Optimal RB degradation occurred at pH 6, whereas MB degradation peaked at pH 10, reflecting the influence of electrostatic interactions between dye molecules and the ZnO surface. Scavenger experiments indicated that hydroxyl radicals were the dominant reactive species for RB degradation, while photogenerated holes played the key role in MB degradation. ZnO15 maintained significant activity over five successive cycles, suggesting good reusability. This work demonstrates that green-synthesized ZnO is an efficient photocatalyst for dye degradation under visible light and systematically assesses the influence of crystallite size, pH, catalyst loading, and temperature. While promising for wastewater treatment applications, further studies are needed to validate performance in complex effluents and under long-term operational conditions.
Various physical and chemical methods—such as hydrothermal, solvothermal, sonochemical, sol–gel, microemulsion, thermal decomposition, microwave irradiation, direct precipitation, and laser ablation—are widely used to synthesize ZnO nanoparticles (NPs), enabling precise control over their shape, size, and properties.44 However, these techniques often require lengthy reaction times and rely on costly, environmentally hazardous chemicals. In contrast, green synthesis has gained considerable attention for its eco-friendly and cost-effective nature.44,45 This approach employs microorganisms (e.g., bacteria, yeast, fungi, algae) and plant extracts derived from leaves, flowers, roots, and stems.46 The phytochemicals in these extracts—such as terpenoids, flavonoids, phenolic compounds, aldehydes, and alkaloids—act as reducing agents to convert metal ions into NPs, while also serving as capping and stabilizing agents that control the final particle morphology.46,47 By eliminating toxic reagents, green synthesis aligns with sustainable development goals and represents a promising avenue for applications such as dye degradation, as summarized in Table 1.
| Size (nm) | Dye | Dye used | Catalyst used | Dye to catalyst ratio | Maximum degradation (%) | Rate constant, k (min−1) | Light irradiation time (min) | Ref. |
|---|---|---|---|---|---|---|---|---|
| a (MB-methylene blue, MG-malachite green, MO-methyl orange, RB – Rose Bengal). | ||||||||
| 9.96 | MB | 50 mg L−1 | 0.6 mg mL−1 | 81.76 | 0.0207 | 90 | 48 | |
| 12.62 | MG | 200 mL | 10 mg | 0.2 | 85 | 0.00799 | 240 | 49 |
| 10 ppm | ||||||||
| 14.54 | MB | 50 mg L−1 | 0.6 mg mL−1 | 77.18 | 0.0185 | 90 | 48 | |
| 14.81 | MB | 12 mg mL−1 | 30 mg | 55 | 0.0021 | 200 | 50 | |
| 17.96 | MB | 50 mg L−1 | 0.6 mg mL−1 | 69.28 | 0.0141 | 90 | 48 | |
| 18.98 | MB | 10 ppm | 50 mg | 60 | — | 30 | 51 | |
| 19 | MB | 15 mL | 15 mg | 1.5 | 92 | 0.0087 | 300 | 52 |
| 100 ppm | ||||||||
| 20.26 | MB | 50 mL | 20 mg | 0.25 | 95.1 | 0.0069 | 240 | 53 |
| 5 ppm | ||||||||
| 21 | MB | 12 µM L−1 | 0.5 g L−1 | 91.0 | 0.019 | 120 | 54 | |
| 22 | MB | 12 µM L−1 | 0.5 g L−1 | 81.5 | 0.012 | 120 | 54 | |
| 22.2 | MB | 15 ppm | 100 mg | 73.44 | 0.0129 | 90 | 55 | |
| 23.67 | MB | 150 mL | 10 mg | 0.096 | 98.29 | 0.0309 | 80 | 56 |
| 20 µM L−1 | ||||||||
| 23.67 | MO | 150 mL | 10 mg | 0.096 | 86.65 | 0.0130 | 100 | 56 |
| 20 µM L−1 | ||||||||
| 25 | MB | 20 mL | 15 mg | 0.007 | 27.2 | 0.0241 | 90 | 57 |
| 5 ppm | ||||||||
| 25.8 | MB | 15 ppm | 100 mg | 81.92 | 0.0175 | 90 | 55 | |
| 27.83 | MO | 15 ppm | 40 mg | 83.17 | 0.0154 | 120 | 58 | |
| 28.12 | MB | 50 mL | 5 mg | 0.032 | 98.5 | — | 120 | 59 |
| 10−5 M L−1 | ||||||||
| 17.5, 20.8, 23.3 | MB | 100 mL | 30, 45, 60 mg | 0.016, 0.022, 0.033 | 99.42 | 0.06922 | 90 | Present work |
| 10 ppm | ||||||||
| 17.5, 20.8, 23.3 | RB | 100 mL | 30, 45, 60 mg | 0.016, 0.022, 0.033 | 99.14 | 0.07195 | 90 | Present work |
| 10 ppm | ||||||||
Dyes typically exhibit a wide range of structural variations, making it difficult to classify them based on a single parameter. However, dyes are categorized into various groups and classes based on their structure and source. The chemical structure of the dye determines both its colour and properties. Azo dyes are thought to be the most diverse group of colourants, accounting for more than half of all industrial dyes.60 Azo dyes are mainly classified into cationic and anionic dyes. Among them Rose Bengal is the anionic dye whereas Methylene Blue is cationic dye. Rose Bengal (RB) is famous for its application in textiles, photochemistry, and dyeing. Industrial dyes like RB and MB are persistent water pollutants that are toxic and resistant to conventional treatment methods. Sako and his colleagues61,62 investigated the toxic effects of RB. While substantial progress has been made in dye degradation techniques, studies specifically focusing on RB degradation remain limited. Additionally, previous researches reports indicate prolonged degradation times for RB. Bhar et al.63 explored the degradation of RB using nanocrystalline FeS2 thin films, achieving 84% dye degradation in 300 min. Farbod and Khademalrasool64 investigated RB degradation with TiO2 nanomaterials, achieving complete removal in 210 min. Likewise, Vignesh et al.65 reported 85% degradation in 150 min using Ag-doped SnO2 nanomaterials modified with curcumin. Given the persistent presence of RB in wastewater, there is a pressing need to eliminate it effectively. MB is utilized in machinery involved in cotton, wool, and fabric dyeing. These industries also use MB as a redox indicator along with colouring paper and even hair.66 In comparison to RB, MB is reported to take longer time to degrade and requires higher dye to catalyst ratio for degradation. Khan et al.66 studied the toxic effect of MB, and Kumar et al.67 studied the degradation of MB. Kadam et al. examined the degradation of MB and reported 97.57% removal of the dye solution in 150 min by using thin films of Ag nanomaterials.68 Mahalingam et al. achieved 97% removal of α-MoO3 nanocomposites in 240 min.69
Conventional photocatalysts often degrade dyes slowly, requiring prolonged exposure or harsh conditions. There remains a need for efficient, eco-friendly, and cost-effective catalysts capable of rapid dye degradation under visible light. The present study addresses this gap by employing green-synthesized ZnO nanomaterials (17.5–23.3 nm) prepared using Tabernaemontana divaricata flower extract (TFE).70,71 The novelty of this study lies in integrating a sustainable green synthesis with a systematic performance evaluation of ZnO nanocatalysts. Using Tabernaemontana divaricata flower extract, ZnO nanoparticles were prepared via an eco-friendly route that avoids hazardous chemicals while ensuring stability and functionality. These green-synthesized ZnO nanomaterials achieved rapid visible-light-driven degradation of Rose Bengal and Methylene Blue, with >99% removal within 90 minutes—significantly faster than previously reported studies, especially for Rose Bengal. The work further distinguishes itself by correlating crystallite size, pH, catalyst dosage, and temperature with catalytic performance, while scavenger experiments revealed distinct reactive species governing the degradation of anionic and cationic dyes. In addition, the catalyst displayed excellent reusability. Collectively, these findings establish a novel, efficient, and environmentally benign pathway for dye remediation, underscoring strong potential for real-world wastewater treatment under visible light.
The synthesis of ZnO nanomaterials by using Tabernaemontana divaricata flower extract (TFE) are reported by us earlier.70 Fresh and clean Tabernaemontana divaricata flowers were sun-dried for four days and subsequently ground into a fine powder using a grinder. Ten grams of the powder were heated at 80 °C in 100 mL of distilled water for 15 minutes under constant stirring. The resulting mixture was cooled to room temperature and filtered repeatedly to remove any residual particulates. The obtained light-brown solution was designated as the Tabernaemontana divaricata flower extract (hereafter referred to as TFE) and stored under refrigeration for further use in nanoparticle synthesis.
For the synthesis of ZnO nanoparticles, the procedure followed a reported literature method. Initially, 0.01 M zinc acetate dihydrate was dissolved in 100 mL of distilled water and stirred continuously for 30 minutes to obtain solution A. Separately, 0.2 M KOH was dissolved in 100 mL of distilled water to prepare solution B. For the synthesis of pure ZnO (denoted as ZnO0), solution B was added dropwise to solution A under stirring, resulting in the immediate formation of a white suspension. The mixture was then heated at 80 °C for 1 hour to yield a white precipitate, which was subsequently collected, filtered, and washed several times with distilled water and acetone. The product was finally dried at 80 °C for 4 hours to obtain ZnO0.
For the green synthesis of TFE-capped ZnO nanoparticles, solutions A and B were prepared as described above. In a typical synthesis, 10 mL of TFE was added to solution A prior to the addition of solution B. The remaining steps were identical to those used for ZnO0. The resulting sample was designated as ZnO10. Similarly, other TFE-capped ZnO sample (ZnO15) was prepared using 15 mL of TFE. In all syntheses, the pH of the reaction medium was maintained at 11. The dried products were finely powdered using a mortar and pestle for subsequent characterization. The results obtained on characterization of these ZnO nanomaterials are reported by us earlier70 and are also provided as SI.
For photocatalytic degradation study, those ZnO nanomaterials have been used. ZnO prepared without use of TFE is named as ZnO0 while those prepared in presence of 10 mL and 15 mL of TFE are termed as ZnO10 and ZnO15. The reported crystallite size value of ZnO0, ZnO10 and ZnO15 are 17.5, 20.8 and 23.3 nm, respectively.70
The recorded absorption spectra were analyzed to determine % of photocatalytic degradation of RB/MB dye over time using following equation:
| % Degradation = (C0 − C)/C0 | (1) |
| (C/C0) = exp(−kt) | (2) |
| t1/2 = ln(2)/k = 0.693/k | (3) |
However, a marked decrease in dye concentration is observed when the ZnO nanomaterials are present under light irradiation, as presented in Fig. 2. Time-dependent absorption spectra recorded up to 90 min of light irradiation of dye solutions catalyzed by ZnO0, ZnO10, and ZnO15 nanomaterials for RB are presented in Fig. 2(a–c), while those for MB are presented in Fig. 2(d–f). These figures clearly illustrate a regular decrease in the intensity of the characteristic absorption peaks for RB at 547 nm and MB at 660 nm over time. This observation suggests that the primary mechanism behind the dye degradation is the photocatalytic activity of ZnO nanomaterials rather than simple catalysis or adsorption on the catalyst surface.
![]() | ||
| Fig. 2 (a–c) and (d–f) Absorption spectra of RB and MB solutions in presence 30 mg of ZnO0, ZnO10, and ZnO15 at room temperature and solution pH 6 after different durations of irradiation of light; (g and h) photodegradation of RB and MB at room temperature under various conditions, (R2 value of 0.99 indicates the high quality of fit with eqn (2) for all experimental data); (i) variation of the maximum degradation of RB and MB and rate constant values with crystallite size of catalyst. | ||
The rate constants for the photocatalytic degradation of dyes using ZnO0, ZnO10, and ZnO15 were calculated to be 0.01309, 0.01732 and 0.02241 min−1 for RB, and 0.01158, 0.01387 and 0.01596 min−1 for MB in room temperature with pH value 6, respectively. The estimated first-order reaction rate constants (k), obtained using eqn (2), are shown in Tables 2 and 3, along with the half-life (t1/2) calculated using eqn (3). These values correspond to different catalyst sizes, solution pH values, catalyst amounts, and temperatures.
| Sample | Size | Solution pH | Amount (mg) | Temperature (°C) | Max degradation (%) | Reaction rate, k (min−1) | R2 | t1/2 (min) |
|---|---|---|---|---|---|---|---|---|
| ZnO0 | 17.5 | 6 | 30 | 30 | 69.73 | 0.01309 | 0.998 | 52.94 |
| ZnO10 | 20.8 | 6 | 30 | 30 | 77.88 | 0.01732 | 0.997 | 39.21 |
| ZnO15 | 23.3 | 6 | 30 | 30 | 84.86 | 0.02241 | 0.997 | 30.92 |
| ZnO15 | 23.3 | 8 | 30 | 30 | 74.53 | 0.01520 | 0.999 | 45.59 |
| ZnO15 | 23.3 | 10 | 30 | 30 | 64.12 | 0.01137 | 0.999 | 60.94 |
| ZnO15 | 23.3 | 6 | 45 | 30 | 90.68 | 0.02756 | 0.999 | 25.14 |
| ZnO15 | 23.3 | 6 | 60 | 30 | 96.50 | 0.03872 | 0.999 | 17.89 |
| ZnO15 | 23.3 | 6 | 60 | 50 | 98.78 | 0.05302 | 0.999 | 13.07 |
| ZnO15 | 23.3 | 6 | 60 | 70 | 99.14 | 0.07195 | 0.999 | 9.63 |
| Sample | Size | Solution pH | Dose (mg) | Temperature (°C) | Max. degradation (%) | Reaction rate, k (min−1) | R2 | t1/2 (min) |
|---|---|---|---|---|---|---|---|---|
| ZnO0 | 17.5 | 6 | 30 | 30 | 63.49 | 0.01158 | 0.998 | 59.84 |
| ZnO10 | 20.8 | 6 | 30 | 30 | 70.33 | 0.01387 | 0.999 | 49.96 |
| ZnO15 | 23.3 | 6 | 30 | 30 | 75.47 | 0.01596 | 0.999 | 43.42 |
| ZnO15 | 23.3 | 8 | 30 | 30 | 79.32 | 0.01798 | 0.999 | 38.54 |
| ZnO15 | 23.3 | 10 | 30 | 30 | 83.88 | 0.02127 | 0.998 | 32.58 |
| ZnO15 | 23.3 | 10 | 45 | 30 | 91.44 | 0.02841 | 0.999 | 24.39 |
| ZnO15 | 23.3 | 10 | 60 | 30 | 96.57 | 0.03582 | 0.999 | 19.34 |
| ZnO15 | 23.3 | 10 | 60 | 50 | 98.85 | 0.05728 | 0.999 | 12.09 |
| ZnO15 | 23.3 | 10 | 60 | 70 | 99.42 | 0.06922 | 0.999 | 10.01 |
Fig. 2(i) summarizes the variation of maximum degradation of RB and MB dye and the rate constant values with the crystallite size of the catalyst, which shows that the larger crystallite size ZnO15 enhances the photocatalytic performance. This agrees with the findings from Ravbar et al.,73 Soto-Robles et al.55 and Taha et al..74 The increased photocatalytic activity with increasing crystallite size is attributed to the surface properties, particularly the specific surface area and band gap energy of ZnO nanomaterials. In this mechanism, the generated holes interact with hydroxyl groups of the surface to produce surface-bound hydroxyl radicals. At the same time, photoexcited electrons are captured by surface oxygen deficiencies, thereby reducing the recombination of photogenerated charge carriers. Intensity-modulated photocurrent and photovoltage measurements further validated this concept, showing that the recombination rate of photogenerated holes decreases as crystallite size increases.75 These indicate larger crystallite size of ZnO can reduce charge carrier recombination, enhancing photocatalytic performance.
To see the role of crystallite size of ZnO nanomaterials on the photocatalytic dye degradation, comparison of some relevant literature reports has been performed in Table 1. This table compares dye to catalyst weight ratio, irradiation time, rate constant and maximum degradation values reported for different dye degradation by green-synthesized zinc oxide nanomaterials of various crystallite sizes reported in the literature. Fig. 3 displays variations of the degradation rate depending on the crystallite size where the k values increase with crystallite size. Evidently, the rate at which the dyes degrade is significantly influenced by the crystallite size of the nanomaterials. These findings are consistent with the present experimental results.
![]() | ||
| Fig. 3 Variation of rate constant with crystallite size for photocatalytic degradation of MB and RB by ZnO. The solid line is a guide to the eye. | ||
![]() | ||
| Fig. 4 Photocatalytic degradation of RB and MB under different pH of the dye solution using 30 mg of ZnO15 as the photocatalyst at room temperature: (a and b) absorption spectra recorded after 90 min for dye solutions (i) without catalyst, (ii) at pH 6, (iii) at pH 8, and (iv) at pH 10; (c and d) time-dependent photodegradation of dye solutions at different pH (solid curves indicate the fits to eqn (2)); (e and f) dependence of the maximum dye degradation and rate constants as a function of the pH values. | ||
Fig. 4(e and f), show the variation of maximum dye degradation after 90 min and the corresponding rate constant at various pH levels for a fixed amount of catalyst at room temperature. The findings show that as the pH increases, the rate constant and degradation efficiency for RB decrease, whereas an opposite trend is observed for MB. Tables show that at pH = 6, RB exhibited superior performance, achieving 84.86% dye degradation with a rate constant of 2.24 × 10−2 min−1. In contrast, for MB, the optimal performance is observed at pH = 10, with 83.88% dye degradation and a rate constant of 2.12 × 10−2 min−1. As, the amount of catalyst and dye are kept constant, the observed change in dye degradation with increasing pH can be attributed solely to the effect of pH in the reaction medium. Similar trends were noticed by Shubha et al.,78 Kazeminezhad et al.,79 Isai et al.80 and Irede et al.81
The pH-dependent RB and MB dye degradation can be explained by their nature as anionic and cationic dyes, respectively. As the pH increases, the repulsive forces between the catalyst surface and the RB dye molecules become stronger, leading to a reduction in the dye degradation rate. On other hand opposite behavior is shown by MB dye molecules.82 The higher rate of MB degradation at alkaline pH of the solution suggests that the negatively charged surface of the catalyst promotes electrostatic attraction. Higher degradation of the MB dye occurs rapidly under alkaline conditions. Initially, MB degradation progresses slowly because of the dye's acidic pH, which inhibits the creation of hydroxyl radicals. Under alkaline conditions (pH 10), the MB dye solution generates an excess of hydroxyl and superoxide radicals, significantly enhancing the degradation process within a short time. According to Alkaykh et al., the production of protons in the dye degradation process reduces the degradation rate.83 According to Nosaka and Nosaka,84 radical production is directly proportional to photocatalytic degradation efficiency. At neutral and acidic pH levels (7 and 6), the high concentration of protons interacts with hydroxyl radicals, forming water molecules, as described by Nasikhudin et al.85 and Zhang et al..86 This reaction reduces the availability of hydroxyl radicals, thereby slowing the degradation process. In contrast, the dye solution exhibiting a basic nature at pH 10 supports the generation of abundant hydroxyl and superoxide radicals, which accelerates the degradation process efficiently.
It is known that pH of zero point charge (pHZPC) is a key factor in the cases of adsorption, catalysis, wastewater treatment, and material science as it helps to characterize the surface properties of materials and predict their behaviour in various applications. Experimental pHZPC data would provide a more quantitative basis for interpreting the pH-dependent results. However, in the present study, authors did not perform direct measurement of pHZPC for the green-synthesized ZnO nanoparticles, but the same will be addressed in future work. Instead, the influence of pH on photocatalytic degradation has been systematically investigated, and the observed trends in degradation efficiency (optimal pH = 6 for Rose Bengal and pH = 10 for Methylene Blue) are consistent with the expected electrostatic interactions between the dyes and ZnO surface reported in literature.
![]() | ||
| Fig. 5 Photocatalytic dye degradation using ZnO15 at room temperature and constant pH under different dose of catalyst: (a and b) absorption spectra of RB and MB solution after 90 min with varying dose of ZnO15—(i) no catalyst, (ii) 30 mg, (iii) 45 mg, (iv) 60 mg; (c and d) time-dependent photodegradation of RB and MB in the presence of different ZnO15 doses (solid curves represent fits to eqn. (2)); (e and f) variation of the maximum dye degradation and corresponding rate constant with dose of ZnO15. | ||
Fig. 5(e and f) shows the quantitative relationship between the photocatalyst dose and the percentage of dye degraded after 90 min irradiation of light at room temperature for RB at pH = 6 and MB at pH = 10, along with the corresponding rate constant values. This result indicates a linear increase in maximum degradation and rate constant with larger dose of catalyst, previous studies have reported similar trends.81 Increasing the catalyst quantity enhances the total available surface area, which promotes greater adsorption of dye molecules. This improved adsorption capacity facilitates more efficient interactions between the dye molecules and the catalyst, leading to enhanced degradation. As the photocatalyst amount increases, more active sites become available on its surface for catalytic reactions.82 This larger number of active sites promotes the generation of additional photogenerated electron–hole pairs, which are necessary for creating hydroxyl radicals that drive the dye degradation process.82 Consequently, increasing the quantity of photocatalyst results in a larger surface area, enhanced adsorption capacity, and an increased active sites number, all contributing to improved degradation efficiency of dye molecules in solution.
![]() | ||
| Fig. 6 Effect of temperature on photocatalytic dye degradation using 60 mg ZnO15 under constant pH: (a and b) absorption spectra RB and MB dye degradation after 90 min at different temperatures; (c and d) time-dependent photodegradation of RB and MB solutions at different solution temperatures (solid curves indicate the fits to eqn (2)); (e and f) changes in maximum dye degradation and rate constants as a function of solution temperature. | ||
Fig. 6(e and f) represent the quantitative relationship between the solution temperature and the degradation percentage of dye after 90 min light irradiation with a fixed catalyst amount for RB at pH = 6 and MB at pH = 10, along with the corresponding rate constant values. The observed trend demonstrates that both the degradation percentage and rate constant increase linearly with increasing solution temperature which in agreement with literature report.81
Notably, there are currently no temperature dependence studies in the literature on the of RB dye degradation with ZnO as a photocatalyst, to the best of our knowledge. However, there are some temperature dependence reports on the photocatalytic activity using hematite and bismuth ferrite as catalysts.87–89 The improvement in degradation efficiency is apparent, and it is clear that higher temperatures speed up the degradation process. Specifically, both rate constant and degradation efficiency show an increase with temperature after 90 min of light irradiation. This type of photocatalytic behavior can be described by considering that increased temperature improves the mobility of the charge carrier and facilitate interfacial charge transfer enhancing the photocatalytic activity.90,91 The influence of water temperature on titanium dioxide's photocatalytic activity was reported by Janus et al..92 As dye solution temperature rises, so does the amount of radical's hydroxyl in the water due to the increase in ionic product of water. Increase in efficiency is linked to an increase in the water's ionic product, which rises with temperature and raises the hydroxyl ion concentration. According to Meng et al.,93 a higher reaction temperature substantially encourages dye molecule mobility, making it easier for the molecules to pass through the material's micropores. The ambient temperature dependent of the reaction rate constant can be understood by the fact that warmer temperatures offer more energy for the reactant molecules, which increases their kinetic energy. As result, number of collisions between catalyst and dye molecules increases, leading to an increased reaction rate, and hence higher dye degradation efficiency.
in presence of water. Meanwhile, the holes can generate hydroxyl radicals (OH−) when they interact with surface OH− groups.95–97 Additionally, the O2− radicals can act as oxidizing agents and serve as an extra source of hydroxyl radicals. During the reaction, hydrogen peroxide (H2O2) is produced as an intermediate product, which can absorb electrons to generate OH* radicals. Another potential pathway involves a Fenton-like reaction, where Zn2+ on the surfaces of zinc oxides under illumination, followed by a reaction between Zn2+ and H2O2 to generate (OH*) radicals.98 It is important to note that, since only small quantities of radicals are involved in this study, the influence of photo-Fenton reaction is presumed to be minimal. These (OH*) and (O2*−) radicals have significant impact on degrading the (RB/MB) dye molecules by oxidizing them to their colourless leuco form and eventually to harmless compounds. Thus, ultimately, the reactive radicals interact with dye molecules, degrading them into non-toxic by products such as CO2 and H2O. Moreover, organic pollutants adsorbed on the photocatalyst surface can be directly oxidized.99 In summary, the photocatalytic degradation process using ZnO encompasses both oxidative (via holes) and reductive (via electrons) pathways, which can be outlined as follows:100| dye0 + hν → dye1 |
| dye1 → dye2 (inter system crossing) |
| ZnO + hν → ZnO (e− + h+) (electron–hole pair due to photoexcitation) |
| O2 + e− → O2*−(formation of superoxide radical anion) |
| h+ + H2O → H+ + OH− (neutralization of OH− group into OH by hole) |
| H2O2 + hν → 2OH* |
| OH* + dye2 → Leuco form of dye |
Leuco form of dye → degraded product + CO2 + H2O. ESR/EPR-based studies are planned as part of our future work to further validate and expand upon the mechanistic conclusions.
The morphological differences among the ZnO0, ZnO10, and ZnO15 catalysts significantly influence their photocatalytic performance. Although their particle sizes are similar, variations in band gap energy affect both dye adsorption and light absorption. Additionally, the kinetics of the electron–hole pair generation and recombination processes play a crucial role.101 Imperfections in the crystal structure notably impact the rates of electron–hole recombination, while resistance during charge transfer at the interface between the catalyst and dye further contributes to differences in degradation efficiency. Previous studies70 utilizing room-temperature photoluminescence support this observation, indicating that factors such as catalyst morphology, specific surface area, crystal defects, and challenges in efficient interfacial charge transfer are all important.102 However, further research under controlled experimental conditions is needed to identify the exact underlying mechanisms.
![]() | ||
| Fig. 8 Scavenger activity during photodegradation of (a) RB and (b) MB using 60 mg of ZnO15 catalyst at room temperature and pH 6. | ||
For MB dye, without scavenger, the total degradation percentage was 75.47% under the same conditions. However, the addition of 3 mL scavenger reduced the total degradation percentage to 32.3% for K2Cr2O7, 53.2% for IPA, and 23.7% for EDTA-2Na. Increasing of the scavenger amount to 6 mL further reduced the degradation to 15.6%, 32.1%, and 4.5% for K2Cr2O7, IPA, and EDTA-2Na, respectively. In this case, the order of efficiency reduction for MB dye was IPA < K2Cr2O7 < EDTA-2Na.
The strongest inhibition of RB dye degradation occurred with IPA, indicating that among the reactive species (OH*, O2*−, and h+), hydroxyl radical play the most significant role in the photodegradation of RB dye. In contrast, for MB dye, the strongest inhibition was observed with EDTA-2Na, suggesting that holes (h+) are primarily responsible for the photodegradation of MB dye.
![]() | ||
| Fig. 9 Reusability of green-synthesized ZnO nanoparticles in the photodegradation of (a) Rose Bengal (RB) and (b) Methylene Blue (MB) using 60 mg of ZnO15 catalyst at room temperature and pH 6. | ||
To verify any structural changes in the catalyst, powder XRD patterns of green-synthesized nanomaterials were collected and analyzed before and after photocatalysis (see SI). The similarity between the two XRD patterns, along with the consistency of the estimated parameters for both samples, confirmed that the green-synthesized nanomaterials used as a photocatalyst for dye degradation remained structural unchanged during repeated photocatalysis.
This study was limited to two dyes in controlled aqueous solutions, and the findings may not fully represent the behaviour of industrial effluents containing mixed pollutants and competing ions. Extreme acidic conditions were not explored due to potential catalyst instability. Catalyst reusability was assessed only up to five cycles, and long-term durability under continuous operation remains to be evaluated. Future studies should therefore examine performance in real wastewater matrices, investigate mixed-dye degradation, and explore extended stability testing to further assess practical applicability.
Supplementary information (SI) is available. See DOI: https://doi.org/10.1039/d5ra08475j.
Footnote |
| † Present Address: Vice-Chancellor, University of Gour Banga, Malda, India. |
| This journal is © The Royal Society of Chemistry 2026 |