Next Article in Journal
The Effect of Viscous Drag on the Maximum Residual Stresses Achievable in High-Yield-Strength Materials in Laser Shock Processing
Next Article in Special Issue
Advanced Photocatalytic Materials for Environmental and Energy Applications
Previous Article in Journal
Possibilities for Efficient Furniture Construction Made of Thin and Ultra-Thin Materials by Using Mitre Joints
Previous Article in Special Issue
Phosphorus-Doped Hollow Tubular g-C3N4 for Enhanced Photocatalytic CO2 Reduction
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Treatment of Mixture Pollutants with Combined Plasma Photocatalysis in Continuous Tubular Reactors with Atmospheric-Pressure Environment: Understanding Synergetic Effect Sources

by
Lotfi Khezami
1,* and
Aymen Amin Assadi
2,3,*
1
Department of Chemistry, College of Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), P.O. Box 5701, Riyadh 11432, Saudi Arabia
2
College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), P.O. Box 5701, Riyadh 11432, Saudi Arabia
3
Univ. Rennes, École Nationale Supérieure de Chimie de Rennes, CNRS, ISCR (Institut. des Sciences Chimiques de Rennes)—UMR 6226, Campus de Beaulieu, Av. du Général Leclerc, 35700 Rennes, France
*
Authors to whom correspondence should be addressed.
Materials 2023, 16(21), 6857; https://doi.org/10.3390/ma16216857
Submission received: 2 September 2023 / Revised: 17 October 2023 / Accepted: 19 October 2023 / Published: 25 October 2023

Abstract

:
This study investigates the pilot-scale combination of nonthermal plasma and photocatalysis for removing Toluene and dimethyl sulfur (DMDS), examining the influence of plasma energy and initial pollutant concentration on the performance and by-product formation in both pure compounds and mixtures. The results indicate a consistent 15% synergy effect, improving Toluene conversion rates compared to single systems. Ozone reduction and enhanced CO2 selectivity were observed when combining plasma and photocatalysis. This process effectively treats pollutant mixtures, even those containing sulfur compounds. Furthermore, tests confirm nonthermal plasma’s in-situ regeneration of the photocatalytic surface, providing a constant synergy effect.

1. Introduction

Outdoor air pollutants originate from familiar anthropogenic sources, including industry, transportation, heating, and agriculture [1]. These pollutants have two types of effects: (i) local effects on health and the environment, necessitating short- and medium-term actions, and (ii) global effects on the planet and climate, manifesting in the long term. In response to these concerns, the European directive 2016/2284/EC was published, aiming to reduce national emissions of air pollutants, including NH3, SO2, NOx, and volatile organic compounds (VOCs) (excluding CH4), with aromatic compounds posing the highest health risks [2]. Recognizing the urgency, France pledged 2005 to reduce its NMVOC, NOx, and SO2 emissions by 52 to 77% and ammonia by 13% [1,2,3]. Meeting this challenge necessitates the development of advanced treatment processes for industrial effluents, specifically at the emission step, to restrict the concentrations and fluxes released into the environment [4]. Current processes employing a liquid phase and oxido-reduction mechanisms, such as Stretford, Ferrifloc, Sulfurex, Burner-Scrubber, Catalyst-Scrubber, and Ozone processes, rely on large-volume equipment prone to corrosion caused by aggressive solutions [4].
Consequently, these processes incur high investments and maintenance costs, substantial chemical reagent consumption, and pose environmental issues during waste effluent disposal [5]. Thus, treatment processes often fail to meet industry requirements due to cost concerns. Therefore, an alternative process that does not necessitate the use of reagents but only relies on a power supply while generating only mineralizable inorganic by-products (CO2, H2O, etc.) would align better with industry needs, especially if space requirements and energy consumption are manageable [6].
In recent years, investigations have demonstrated the effectiveness of dielectric barrier discharge (DBD) reactors for hazardous pollutant removal from gas streams with low VOC concentrations at ambient temperatures [7]. The simultaneous reduction in coexisting pollutants has also been studied [8]. Despite its good attributes, DBD plasma has some drawbacks, such as the formation of toxic by-products like CO, NO, NO2, and O3. Achieving the desired total oxidation of CO2 and H2O is often challenging [9,10,11,12]. To address these challenges, coupling DBD plasma with photocatalysis presents a ‘zero waste and zero reagent’ technology with the potential for synergy and low energy consumption [13,14]. Several studies have investigated the coupling of DBD plasma and photocatalysis using different reactor types and targeting various odorous compounds, including isovaleraldehyde, isovaleric acid, trimethylamine, ammonia, and dimethyl disulfide (DMDS) [15]. It is known that the presence of a catalyst in the plasma enhances performance [16,17,18,19]. To avoid catalytic surface poisoning and maintain energetic efficiency, producing a higher concentration of reactive species through the controlled adjustment of the pulsed discharge conditions is crucial, as these species have very short lifetimes [18,19,20,21].
This study aims to investigate VOC removal by coupling plasma and photocatalysis, focusing on new electrode configurations, on the performance in handling pollutant mixtures, and on understanding the catalytic surface poisoning mechanisms through tests on the reuse part of the combined system. In fact, the regeneration effect of plasma on the material surface and the understanding of the reactional mechanism in order to lift the scientific barriers was studied in detail in this paper.

2. Materials and Methods

2.1. Experimental Setup

The oxidation (photocatalysis and plasma) runs were conducted using the experimental setup shown in Figure 1. It consists of a tubular cylindrical reactor formed by two concentric Pyrex tubes (100 cm long), one outer tub of 76 mm, and an inner tube of 58 mm. Their wall thickness was about 4 mm. The reactor can be combined with (i) photocatalysis by using an external UV lamp (Philips TL 40W/05 (Philips, Canton of Flayosc, France)) and/or (ii) DBD plasma (Dielectric Barrier Discharge system) by applying high voltage power. Experiments were realized at ambient temperature (25 °C) and atmospheric pressure. A TESTO sensor is used to measure the temperature and relative humidity. Before photocatalytic experiments, the UV lamp (100 cm long, in the inner concentric cylinder) is activated for homogeneous irradiation. The flow rate (a maximum of 10 m3.h−1) at the system’s inlet is controlled using a mass flow meter (Bronkhorst In-Flow). For humidity experiments (from 5 to 90 ± 5%), a variable part of the airflow is derived through a packed column where water flows in the counter current (Figure 1). Two syringe/syringe driver systems (KD Scientific Model 100) were used continuously for liquid Toluene and DMDS injecting into the gas stream. A heating band was used in the injection zone to achieve a good evaporation of pollutants (Figure 1).
In the case of DBD plasma equipment, the different experimental parts used to create the plasma are illustrated in Figure 1. Plasma discharge was generated by applying high voltage using a signal generator (BFi OPTILAS (SRS) reference DS 335/1)-USA. The applied tension with sinusoidal waveform was amplified 3000 v/v using a TREK 30A/40 amplifier-(Denver, CO, USA) [1,2,3,4,5]. The outer and inner electrodes were connected to the amplifier (Figure 2). The voltages applied in the plasma reactor are measured using high-voltage probes and recorded with a digital oscilloscope (Lecroy wave surfer 24Xs, 200 MHz).
The operating parameter and their ranges are summarized in Table 1.
A commercial Glass Fiber Tissue (BET surface of 300 m2.g−1, 5–10 nm of diameter and 100% Anatase), produced by Ahlstrom Research and Services, was used as a photo-catalyst which contains (i) 13 g.m−2 of colloidal silica, (ii) 13 g.m−2 of titanium dioxide nanoparticles, and (iii) inorganic fibers. To achieve this catalyst, Ahlstrom Research and Services starts with impregnating glass fibers using SiO2 and TiO2 nanoparticles suspension in pure water using an industrial-sized press (PC500 Millennium). The second step is a drying step of impregnated fibers [6]. The crystalline phase of the coated photocatalyst on the GFT support was examined using the X-ray diffractometer. The optical band gap of TiO2 nanoparticles has a value of 3.2 eV.
Figure 2c shows the XRD diffraction pattern of the GFT coated with TiO2 photocatalyst and the pristine GFT.
The average size of the TiO2 nanoparticles was calculated following the Scherrer equation considering the intense (101) plane peak, and the obtained value is 16.33 nm.

2.2. Analytical Methods

  • The same gas volume (500 µL) was continuously sampled to monitor oxidation phenomena under the photocatalytic plasma reactor. The concentration of Toluene was determined using Gas Chromatography (GC) with a Clarus GC-500 chromatograph equipped with a flame ionization detector (FID) (Salt Lake City, UT, USA) and a 60 m × 0.25 mm polar DB-MS capillary column (film thickness, 0.25 μm). The FID detector was powered by an air and hydrogen mixture (H2). Helium (He) was used as the carrier gas at a flow rate of 1 mL.min−1. The analysis conditions included injection and detection temperatures of 250 °C for both, and the oven temperature was programmed to maintain 90 °C throughout each analysis (analysis time: 4 min). The analysis method for DMDS sulfur pollutant has been described in detail in our previous work [5].
  • CO2 measurements were determined using a Fourier Transform Infrared Spectrophotometer (FTIR) from Environment SA (MIR 9000H). The mineralization step was continuously monitored during the oxidation (plasma/photocatalysis) process using a pump system to control the outlet gas stream. For CO analysis, samples were taken using a gas analyzer (NO/CO ZRE marketed by Fuji Electric France S.A.S.). The SO2 outlet concentration was measured using a MEDOR gas analyzer (THT MEDOR®-Houston, TX, USA).
  • The amount of Ozone generated during the oxidation step with plasma was determined using sodium thiosulfate titration. A membrane pump (KNF lab N86k18) delivered part of the flow exits and then bubbled into a potassium iodide solution (KI, at 10−2 M). The chemical reaction between KI and Ozone (Equation (1)) resulted in the appearance of a yellow color, which was then neutralized through titration with a sodium thiosulfate solution (Na2S2O3, at 10−3 M) until a colorless solution was obtained (Equation (2)) [7]. The titration was carried out in an acid medium by adding concentrated hydrochloric acid (HCl) to the final solution.
O3 + 2I → I2 + O2 + O + e
I2 + 2 S2O32− → 2I + S4O62−

3. Results and Discussion

The experimental parameters are defined as follows:
  • (Cinlet) and (Coutlet) represent the inlet and outlet concentration of pollutant (mg.m−3), respectively.
  • The degradation rate of the pollutant with each process (%) = (1 − Coutlet/Cinlet) × 100.
  • The value of the Synergetic Effect (SE) is calculated using the following expression:
SE = REcombined process/[REplasma + REphotocatalysis].
  • The Specific Energy SE (J/L) = [P(W)/Q(m3.s−1)]/1000, where P is the input power in the function of the applied voltage and Q is the flowrate.
  • The sulfur dioxide selectivity (SSO2) = ([SO2]outlet − [SO2]inlet) × 104/(ns,cov × RE × [C]inlet).
  • The carbon dioxide and monoxide selectivities (SCOx) = ([COx]outlet − [COx]inlet) × 104/(nc,cov × RE × [C]inlet), where [C] is the concentration of DMDS/Toluene and nc,VOC represents the number of carbons in the molecules (two for DMDS and seven for Toluene).
The degradation studies of (i) Toluene alone (100% C7H8), (ii) DMDS alone (100% C2H6S2) on a continuous annular reactor, and (iii) their binary mixture (Toluene 50%-DMDS 50%) were investigated. The experiments with the photocatalysis process were carried out under different operating conditions. The plasma process performance was also monitored separately from the photocatalysis (without external UV-lamp), and then the association of the photocatalysis/plasma was studied.

3.1. Photocatalysis Treatment: (i) Effects of Initial Pollutant Concentration and Air Flow on Degradation and (ii) Effect of Water Vapor

This study systematically investigated the impact of varying initial toluene concentrations (10 and 20 mg.m−3) and airflow rates (1–4 m3.h−1) on the efficiency of the photocatalytic removal of toluene. The experiments were conducted with and without a light source (UV-lamp OFF) during an initial adsorption step to ensure stable inlet toluene concentrations. It was observed that, as the gas flow supplying the photocatalytic reactor was increased, the efficiency of toluene degradation was decreased. This trend can be attributed to the shorter contact time between toluene molecules, active sites on the catalyst, and oxidation species at higher flow rates, resulting in reduced degradation efficiency. The experimental data indicated that toluene degradation was approximately 38.5% at 1 m3.h−1 for an initial concentration of 10 mg.m−3 but decreased to around 13% at 4 m3.h−1. Moreover, an increase in the initial toluene concentration also led to reduced oxidation performance, with degradation rates of 38.5% and 21.9% observed at 1 m3.h−1 for initial concentrations of 10 and 20 mg.m−3, respectively. This behavior aligned with previous research on TiO2-based catalysts [1,6,7,8,9].
The influence of humidity levels was also investigated by maintaining a constant inlet toluene concentration (10 mg.m−3) and an airflow rate of 2 m3.h−1 while varying humidity levels at approximately 5%, 60% ± 5, and 90% ± 5 using a humidification column. Two distinct behaviors in toluene removal were revealed in Figure 3b. At lower humidity levels (<60% ± 5), an improvement in toluene removal was observed due to active intermediate species generated under these conditions, enhancing the oxidation step and overall photocatalytic toluene removal. Favorable toluene removal efficiency was demonstrated in the experiments at approximately 60% ± 5 humidity levels, increasing efficiency from 19 to 33.6%. However, at higher humidity levels (>60–90%), competitive adsorption between water vapor and toluene molecules on active sites became more pronounced, decreasing toluene removal efficiency. At high humidity levels (90% ± 5), a slight decrease in toluene removal efficiency to 21.5% was observed. The significance of humidity as an experimental parameter in photocatalytic oxidation processes is highlighted by our comprehensive analysis, with lower humidity favoring toluene removal and higher humidity exerting a negative impact. Thus, increasing the relative humidity inside the reactor results in a net presence of water molecules. The water molecules adsorbed on the surface of the photocatalyst result in photogenerated holes following oxidation leading to the formation of OH radicals known as reactive species in the photocatalytic air treatment. On the other hand, the significant presence of water vapor molecules at high relative humidity levels reverses the trend and reduces the conversion of the pollutant due to the phenomenon of competition between the water molecule and the adsorption of ethylbenzene on the active sites of the photocatalyst [5].

3.2. DBD Direct Plasma Treatment: Effect of Plasma Energy

To study the performance of pollutants’ (toluene and DMDS) degradation via a plasma reactor, the degradation study of toluene was performed with (i) humid airflow (2 m3.h−1, 55% of humidity), (ii) an inlet concentration of 14 ppm, and (iii) a plasma energy of 4.5 J.L−1 and 9 J.L−1. The same methodology was applied to DMDS, where the reactor contained a similar pollutant concentration. Figure 4 shows the degradation rate of toluene/DMDS studied separately at different plasma energies. The experimental data via DBD plasma configuration indicate that, with the two pollutants (aromatic and sulfuric compounds), the increase in specific energy (plasma power) leads to an increase in the removal efficiency of contaminants [7,8,9]. In our previous work, a similar trend of removal efficiency was displayed in fatty acids [10], aldehydes [15], and amines [21], either on a pilot or on an industrial scale. We reported that the removal efficiencies of these molecules strongly depend on the applied voltage. It was observed that increasing energy enhances the level of electrons, which improves the reactive oxygen species formation and consequently leads to greater removal efficiency. In our study, the toluene removal improved from 13% to 25.1% with 4.5 J.L−1 and 9 J.L−1 of plasma power, respectively. As for DMDS, when the specific energy amount is more and more important (9 J.L−1), the DMDS rate (27.51%) is slightly higher than for toluene (25.1%).

3.3. Treatment by Coupling Process (Photocatalysis/Plasma): Comparison of Process Performance

The oxidation of toluene was monitored via three processes: (i) photocatalysis, (ii) DBD plasma, and (iii) a combination of photocatalysis and plasma at different plasma energies (4.5 and 9 J.L−1). In this section of the study, these two methods ((i) and (ii)) were used separately and simultaneously (iii) to enhance the degradation performance of the process. Comparing the treatment with the simultaneous application (photocatalysis/plasma) to that with photocatalysis and plasma applied separately, the experimental data (Figure 5a) indicate that the coupling exhibits a higher performance than the sum of photocatalysis alone and plasma alone. At a plasma energy of 9 J.L−1, the combined process achieved a toluene degradation rate of 61%, while the sum of the degradation rate for photocatalysis and plasma separately was 46.2%. Similarly, at low energy (4.5 J.L−1), the toluene degradation reached 40.23% when the combined application was used, compared to 34.5% for the sum of both processes used alone. In this case, an enhancement of 10% ± 3 in the removal efficiency was observed. The same methodology was applied to DMDS (see Figure 5b). The results indicate a strong synergy between both processes for any pollutant used. Plasma significantly contributes to the desorption of the degraded by-products adsorbed on the TiO2 surface through the active species (O2°, O°, HO°), leading to the increased catalytic activity of the photocatalyst (in our case, TiO2 coated on Glass Fiber Tissue) and improved photocatalytic degradation [6,21,22,23,24,25,26,27]. For DMDS, the degradation rate during the combined application of photocatalysis and plasma (53%) surpasses the rates achieved with plasma or photocatalysis alone (45.4%). The same behavior has been found by Qi and his coworkers, with toluene removal in a plasma–catalytic hybrid system over Mn-TiO2 and Fe-TiO2 [28]. Moreover, Wang and his collaborators highlighted the synergetic effect on CO2 reduction in the presence of Dual-plasma enhanced 2D/2D/2D g-C3N4/Pd/MoO3 [11].
The combination of these processes demonstrates the synergy between DBD plasma and photocatalytic oxidation [13,16,17,18,19,20], which can be attributed to the following:
(i).
The action of plasma radicals (N°, O°, H°, OH°), renewing the catalytic site and improving the removal/mineralization step;
(ii).
The contribution of the reactive species generated by plasma to photocatalytic mechanisms;
(iii).
The Ozone and UV-light reactions generate highly reactive radicals that can activate TiO2 and enhance performance;
(iv).
The enhancement of mass transfer of pollutants by the ionic wind generated by plasma;
(v).
The in-situ regeneration of the catalytic surface in the presence of the micro discharge of plasma.

3.4. Treatment by Coupling Process (Photocatalysis/Plasma): Effect of Mixture (Toluene/DMDS) and Plasma Power

The same methodology was applied to the mixture of toluene and DMDS. Figure 6 illustrates the removal efficiency of the toluene/DMDS mixture using three processes: (i) photocatalysis, (ii) DBD plasma, and (iii) photocatalysis/plasma at different plasma energies. For the mixture studied, the reactor was supplied with: a humid air flow (2 m3.h−1, 55% humidity), an inlet concentration of 14 ppm ([Toluene] = [DMDS] = 7 ppm), and plasma energies of 4.5 and 9 J.L−1. As depicted in Figure 6, plasma energy is a crucial parameter for monitoring plasma application and it can significantly impact degradation efficiency.
In the case of the mixture with high energy (9 J.L−1), the results indicate that (i) toluene degradation reached 42.57% when both applications were combined, compared to 35.69% when the two applications were applied separately, and (ii) DMDS degradation reached 53.92% when both applications were combined, compared to 49.31% for separate applications. Comparing the treatment of the toluene/DMDS mixture to the separate treatment of toluene and DMDS, the experimental data (Figure 6 and Figure 5b, respectively) demonstrate that the coupling exhibits higher removal efficiency, surpassing the sum of photocatalysis and plasma treatments when applied separately.
The toluene/DMDS mixture results indicate a more significant synergetic effect for DMDS degradation than for toluene. When photocatalysis/plasma were used together, 42.57% of the toluene in the mixture and 53.92% of the DMDS in the mixture were decomposed. In contrast, during single treatments (Figure 5b), toluene removal reached 61%, and 52% of the DMDS was decomposed. This different behavior can be attributed to the competitive adsorption/oxidation of the two pollutants in the mixture, which becomes more pronounced [22,23,24,25]. The molecular chain structure of DMDS (C2H6S2) hampers the adsorption/oxidation and, thus, the photocatalytic oxidation of toluene (C7H8). This observation is consistent with the findings reported by Assadi et al. [21], who demonstrated a decrease in oxidation performance (in the case of a VOC mixture) due to the competitive interactions between pollutants, by-products, and active sites.

3.5. Study of By-Products Generation: Ozone Selectivity of CO/CO2/SO2

3.5.1. Monitoring of the Ozone Formed

Ozone formation, a strong oxidizing by-product, occurs during the operation of the DBD-plasma/photocatalytic reactor. Extensive experiments on oxidation under (i) a DBD-plasma reactor or (ii) coupling plasma/photocatalysis technology have been conducted and detailed in our previous research studies [1,4,6,7,9,23,24,25,26,27]. These studies have shown that increasing the energy of plasma leads to generating a significant amount of ozone in the exhaust. However, experiments with the DBD plasma/photocatalysis combination have been performed to mitigate the excessive ozone production at low plasma energies (4.5 and 9 J.L−1). The humid air flow was fixed at 2 m3.h−1 with 55% humidity, and the concentration of toluene/DMDS was maintained at 14 ppm. UV irradiation tests (with lamp ON/OFF) were conducted to monitor ozone formation at the reactor outlet at various plasma energies. The results, depicted in Figure 7, illustrate the behavior of ozone during the operation of DBD plasma technology and the coupling of plasma/photocatalysis.
A slight decrease in ozone concentration was observed (Figure 7) with values of 36 and 32 ppm for (i) plasma alone and (ii) plasma/photocatalysis, respectively. This decrease can be attributed to the decomposition of ozone through reactions (3), (4), and (5), facilitated by the photo-generated radicals (H°, HO°) [26]. It is important to note that adding external UV light to the DBD-plasma system (coupling plasma with UV lamp ON) can play a crucial role in promoting ozone degradation into highly reactive species (O2° and HO2°), thereby significantly enhancing the oxidation step.
H 2 O + e H ° + O H ° + e
O 3 + O H ° O 2 + H O 2 °
O 3 + H ° O 2 + O H °

3.5.2. CO2, SO2, CO Selectivity

In this investigation, the selectivity rates of carbon dioxide (CO2), sulfur dioxide (SO2), and carbon monoxide (CO) under different oxidation conditions were analyzed. Figure 8 presents the experimental data, showcasing distinct selectivity rates for these pollutants. Carbon dioxide (CO2) exhibited the highest selectivity rate among the three, achieving 69.81% through photocatalysis alone, 43.75% through plasma alone, and a further increase to 58.98% when plasma and photocatalysis were combined. On the other hand, sulfur dioxide (SO2) showed a selectivity rate of 17.35% through photocatalysis, while plasma alone achieved 46%. However, the combination of plasma and photocatalysis resulted in a decreased selectivity rate compared to CO2. For carbon monoxide (CO), selectivity rates were negligible, with only 7% of the CO mineralization rate observed through photocatalysis, plasma, and plasma/photocatalysis.
It is worth noting that ozone (O3) concentrations decreased compared to plasma alone. Previous research has shown that incorporating external UV light into the DBD–plasma system (via coupling plasma with UV lamp ON) can significantly enhance the mineralization rate and improve the degradation of pollutants and by-products [16,17,18,19,20].

4. Reusability and In Situ Regeneration

A series of experiments consisting of four cycles was conducted to evaluate the photocatalytic stability of the catalyst after multiple cycles. These experiments involved alternating phases: (i) the oxidation step using photocatalysis, plasma, and the coupling of both, and (ii) the catalyst regeneration step. The photoactivity tests were conducted under dry conditions with a continuous flow rate of 2 m3.h−1, using a toluene/DMDS mixture with a concentration of 14 ppm.
Figure 9 presents the degradation rate of toluene in the mixture and the synergetic effect (SE) value after four cycles (each cycle consisting of experiments with photocatalysis, plasma, and their combination). It can be observed that the degradation rate of toluene slightly decreases after four cycles of continuous oxidation, resulting in a 10% loss of the catalyst’s photoactivity. However, a stable degradation rate is observed when the coupling of plasma/photocatalysis is applied. In our case, the regeneration step involved using photocatalysis/plasma.
Previous studies have also observed the deactivation of photocatalysts during the oxidation of sulfur compounds [27]. These studies have shown that plasma can effectively regenerate poisoned catalysts. Therefore, the results indicate that the regeneration process can be enhanced by combining photocatalysis and plasma [28,29,30,31,32,33,34]. This finding confirms the in situ regeneration of the photocatalytic support in the presence of plasma [35,36,37,38,39,40,41].

5. Conclusions

In this comprehensive study, we conducted a thorough investigation into various parameters, including the synergetic effect (SE), inlet concentrations of toluene (TOL) and DMDS, and relative humidity (RH), to assess their influence on the performance of three distinct processes: DBD plasma, photocatalysis, and the combined DBD plasma/photocatalysis system. Our findings have illuminated the pivotal role of water vapor in VOC removal, revealing optimal RH values that enhance CO2 selectivity and diminish CO formation. Furthermore, RH was observed to have a mitigating effect on ozone formation.
Across all operational parameters explored, it is evident that coupling DBD plasma with a TiO2 catalyst under external UV irradiation can yield a synergetic effect, resulting in improved toluene and DMDS removal. The significant enhancement in CO2 selectivity during the coupling process is particularly noteworthy, a remarkable 11% improvement compared to DBD plasma alone. The observed reduction in ozone concentration during plasma–photocatalysis coupling can be attributed to the breakdown of ozone into more active oxidizing species facilitated by UV radiation.
These findings hold profound practical implications for pollutant removal and treatment strategies. As demonstrated in this study, the combination of DBD plasma and photocatalysis presents a promising avenue for more efficient and environmentally friendly approaches to addressing VOC pollution. By unraveling the intricate interplay of parameters and processes, we are better positioned to develop cleaner and more sustainable solutions for industrial effluent treatment.
Future research endeavors could delve deeper into optimizing the coupling process, explore additional parameters, and investigate its adaptability in diverse industrial settings. The pursuit of innovative technologies that reduce environmental impact while aligning with industry requirements remains of paramount importance.

Author Contributions

Writing—original draft, Investigation and conceptualization: L.K.; Writing—review and editing and Visualization: A.A.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research through the project number IFP-IMSIU-2023031. The authors also appreciate the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University (IMSIU) for supporting and supervising this project.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ren, C.; Yu, C.W.; Cao, S.-J. Development of urban air environmental control policies and measures. Indoor Built Environ. 2022, 32, 299–304. [Google Scholar] [CrossRef]
  2. Zhang, X.; Fan, M.; Shao, S.; Song, X.; Wang, H. Socioeconomic drivers and mitigating strategies of volatile organic compounds emissions in China’s industrial sector. Environ. Impact Assess. Rev. 2023, 101, 107102. [Google Scholar] [CrossRef]
  3. Hernández-Fernández, J.; Cano, H.; Rodríguez-Couto, S. Quantification and Removal of Volatile Sulfur Compounds (VSCs) in Atmospheric Emissions in Large (Petro) Chemical Complexes in Different Countries of America and Europe. Sustainability 2022, 14, 11402. [Google Scholar] [CrossRef]
  4. Pan, Q.; Liu, Q.-Y.; Zheng, J.; Li, Y.-H.; Xiang, S.; Sun, X.-J.; He, X.-S. Volatile and semi-volatile organic compounds in landfill gas: Composition characteristics and health risks. Environ. Int. 2023, 174, 107886. [Google Scholar] [CrossRef]
  5. Saoud, W.A.; Assadi, A.A.; Kane, A.; Jung, A.-V.; Le Cann, P.; Gerard, A.; Bazantay, F.; Bouzaza, A.; Wolbert, D. Integrated process for the removal of indoor VOCs from food industry manufacturing: Elimination of Butane-2,3-dione and Heptan-2-one by cold plasma-photocatalysis combination. J. Photochem. Photobiol. A Chem. 2020, 386, 112071. [Google Scholar] [CrossRef]
  6. Acayanka, E.; Tarkwa, J.-B.; Nchimi, K.N.; Voufouo, S.A.; Tiya-Djowe, A.; Kamgang, G.Y.; Laminsi, S. Grafting of N-doped titania nanoparticles synthesized by the plasma-assisted method on textile surface for sunlight photocatalytic self-cleaning applications. Surf. Interfaces 2019, 17, 100361. [Google Scholar] [CrossRef]
  7. Guillard, C.; Baldassare, D.; Duchamp, C.; Ghazzal, M.; Daniele, S. Photocatalytic degradation and mineralization of a malodorous compound (dimethyldisulfide) using a continuous flow reactor. Catal. Today 2007, 122, 160–167. [Google Scholar] [CrossRef]
  8. Ramírez, M.; Fernández, M.; Granada, C.; Le Borgne, S.; Gómez, J.M.; Cantero, D. Biofiltration of reduced sulphur compounds and community analysis of sulphur-oxidizing bacteria. Bioresour. Technol. 2011, 102, 4047–4053. [Google Scholar] [CrossRef]
  9. Zhou, W.; Ye, Z.; Nikiforov, A.; Chen, J.; Wang, J.; Zhao, L.; Zhang, X. The influence of relative humidity on double dielectric barrier discharge plasma for chlorobenzene removal. J. Clean. Prod. 2021, 288, 125502. [Google Scholar] [CrossRef]
  10. Ochiai, T.; Aoki, D.; Saito, H.; Akutsu, Y.; Nagata, M. Analysis of Adsorption and Decomposition of Odour and Tar Components in Tobacco Smoke on Non-Woven Fabric-Supported Photocatalysts. Catalysts 2020, 10, 304. [Google Scholar] [CrossRef]
  11. Wang, H.; Liu, Q.; Xu, M.; Yan, C.; Song, X.; Liu, X.; Wang, H.; Zhou, W.; Huo, P. Dual-plasma enhanced 2D/2D/2D g-C3N4/Pd/MoO3-x S-scheme heterojunction for high-selectivity photocatalytic CO2 re-duction. Appl. Surf. Sci. 2023, 640, 158420. [Google Scholar] [CrossRef]
  12. Młotek, M.; Reda, E.; Jóźwik, P.; Krawczyk, K.; Bojar, Z. Plasma-catalytic decomposition of cyclohexane in gliding discharge reactor. Appl. Catal. A Gen. 2015, 505, 150–158. [Google Scholar] [CrossRef]
  13. Luo, S.; Lin, H.; Wang, Q.; Ren, X.; Hernández-Pinilla, D.; Nagao, T.; Xie, Y.; Yang, G.; Li, S.; Song, H.; et al. Triggering Water and Methanol Activation for Solar-Driven H2 Production: Interplay of Dual Active Sites over Plasmonic ZnCu Alloy. J. Am. Chem. Soc. 2021, 143, 12145–12153. [Google Scholar] [CrossRef] [PubMed]
  14. Zhang, T.; Ren, X.; Ma, F.; Jiang, X.; Wen, Y.; He, W.; Hao, L.; Zeng, C.; Liu, H.; Chen, R.; et al. MOF-derived Co(Ni)Ox species loading on two-dimensional cobalt phosphide: A Janus electrocatalyst toward efficient and stable overall water splitting. Appl. Mater. Today 2023, 34, 101912. [Google Scholar] [CrossRef]
  15. Ren, X.; Philo, D.; Li, Y.; Shi, L.; Chang, K.; Ye, J. Recent advances of low-dimensional phosphorus-based nanomaterials for solar-driven photocatalytic reactions. Coord. Chem. Rev. 2020, 424, 213516. [Google Scholar] [CrossRef]
  16. Assadi, A.A.; Loganathan, S.; Tri, P.N.; Gharib-Abou Ghaida, S.; Bouzaza, A.; Tuan, A.N.; Wolbert, D. Pilot scale deg-radation of mono and multi volatile organic compounds by surface discharge plasma/TiO2 reactor: Investigation of competition and synergism. J. Hazard. Mater. 2018, 357, 305–313. [Google Scholar] [CrossRef]
  17. Assadi, A.A.; Bouzaza, A.; Wolbert, D. Study of synergetic effect by surface discharge plasma/TiO2 combination for indoor air treatment: Sequential and continuous configurations at pilot scale. J. Photochem. Photobiol. A Chem. 2015, 310, 148–154. [Google Scholar] [CrossRef]
  18. Abidi, M.; Hajjaji, A.; Bouzaza, A.; Trablesi, K.; Makhlouf, H.; Rtimi, S.; Assadi, A.; Bessais, B. Simultaneous removal of bacteria and volatile organic compounds on Cu2O-NPs decorated TiO2 nanotubes: Competition effect and kinetic studies. J. Photochem. Photobiol. A Chem. 2020, 400, 112722. [Google Scholar] [CrossRef]
  19. Li, Y.; Wang, W.; Wang, F.; Di, L.; Yang, S.; Zhu, S.; Yao, Y.; Ma, C.; Dai, B.; Yu, F. Enhanced Photocatalytic Degradation of Organic Dyes via Defect-Rich TiO2 Prepared by Dielectric Barrier Discharge Plasma. Nanomaterials 2019, 9, 720. [Google Scholar] [CrossRef] [PubMed]
  20. Assadi, A.A.; Bouzaza, A.; Lemasle, M.; Wolbert, D. Removal of trimethylamineand isovaleric acid from gas streams in a con-tinuous flow surface discharge plasma reactor. Chem. Eng. Res. Des. 2014, 93, 640–651. [Google Scholar] [CrossRef]
  21. Dobslaw, C.; Glocker, B. Plasma Technology and Its Relevance in Waste Air and Waste Gas Treatment. Sustainability 2020, 12, 8981. [Google Scholar] [CrossRef]
  22. Xu, Z.; Ren, Y.; Deng, X.; Xu, M.; Chai, W.; Qian, X.; Bian, Z. Recent Developments on Gas-Phase Volatile Organic Compounds Abatement Based on Photocatalysis. Adv. Energy Sustain. Res. 2022, 3, 2200105. [Google Scholar] [CrossRef]
  23. Wood, D.; Shaw, S.; Cawte, T.; Shanen, E.; Van Heyst, B. An overview of photocatalyst immobilization methods for air pollution remediation. Chem. Eng. J. 2020, 391, 123490. [Google Scholar] [CrossRef]
  24. Li, S.; Li, Y.; Yu, X.; Dang, X.; Liu, X.; Cao, L. A novel double dielectric barrier discharge reactor for toluene abatement: Role of different discharge zones and reactive species. J. Clean. Prod. 2022, 368, 133073. [Google Scholar] [CrossRef]
  25. Hoshino, M.; Akimoto, H.; Okuda, M. Photochemical Oxidation of Benzene, Toluene, and Ethylbenzene Initiated by OH Radicals in the Gas Phase. Bull. Chem. Soc. Jpn. 1978, 51, 718–724. [Google Scholar] [CrossRef]
  26. Winayu, B.N.R.; Chen, S.-T.; Chang, W.-C.; Chu, H. rGO doped S0.05N0.1/TiO2 accelerated visible light driven photocatalytic degradation of dimethyl sulfide and dimethyl disulfide. Appl. Catal. A Gen. 2023, 655, 119113. [Google Scholar] [CrossRef]
  27. Junior, A.G.; Pereira, A.; Gomes, M.; Fraga, M.; Pessoa, R.; Leite, D.; Petraconi, G.; Nogueira, A.; Wender, H.; Miyakawa, W.; et al. Black TiO2 Thin Films Production Using Hollow Cathode Hydrogen Plasma Treatment: Synthesis, Material Characteristics and Photocatalytic Activity. Catalysts 2020, 10, 282. [Google Scholar] [CrossRef]
  28. Qi, L.-Q.; Yu, Z.; Chen, Q.-H.; Li, J.-X.; Xue, H.-B.; Liu, F. Toluene degradation using plasma-catalytic hybrid system over Mn-TiO2 and Fe-TiO2. Environ. Sci. Pollut. Res. 2023, 30, 23494–23509. [Google Scholar] [CrossRef] [PubMed]
  29. Maciuca, A.; Batiot-Dupeyrat, C.; Tatibouët, J.M. Synergetic effect by couplingphotocatalysis with plasma for low VOCs con-centration removal from air. Appl. Catal. B Environ. 2012, 43, 432–438. [Google Scholar] [CrossRef]
  30. Salvadores, F.; Juan Brandi, R.; Alfano, O.M.; de los Milagros Ballari, M. Modelling and experimental validation of reaction chamber simulating indoor air decontamination by photocatalytic paint. Appl. Catal. A Gen. 2023, 663, 119285. [Google Scholar] [CrossRef]
  31. Zhang, J.; Li, X.; Zheng, J.; Du, M.; Wu, X.; Song, J.; Cheng, C.; Li, T.; Yang, W. Non-thermal plasma-assisted ammonia production: A review. Energy Convers. Manag. 2023, 293, 117482. [Google Scholar] [CrossRef]
  32. Zhu, B.; Liu, J.-L.; Li, X.-S.; Liu, J.-B.; Zhu, X.; Zhu, A.-M. In Situ Regeneration of Au Nanocatalysts by Atmospheric-Pressure Air Plasma: Regeneration Characteristics of Square-Wave Pulsed Plasma. Top. Catal. 2017, 60, 914–924. [Google Scholar] [CrossRef]
  33. Malayeri, M.; Haghighat, F.; Lee, C.-S. Modeling of volatile organic compounds degradation by photocatalytic oxidation reactor in indoor air: A review. Build. Environ. 2019, 154, 309–323. [Google Scholar] [CrossRef]
  34. Ye, H.; Liu, Y.; Chen, S.; Wang, H.; Liu, Z.; Wu, Z. Synergetic effect between non-thermal plasma and photocatalytic oxidation on the degradation of gas-phase toluene: Role of ozone. Chin. J. Catal. 2019, 40, 631–637. [Google Scholar] [CrossRef]
  35. Adhikari, B.C.; Lamichhane, P.; Lim, J.S.; Nguyen, L.N.; Choi, E.H. Generation of reactive species by naturally sucked air in the Ar plasma jet. Results Phys. 2021, 30, 104863. [Google Scholar] [CrossRef]
  36. Xu, X.; Zhou, S.; Long, J.; Wu, T.; Fan, Z. The Synthesis of a Core-Shell Photocatalyst Material YF3:Ho3+@TiO2 and Investigation of Its Photocatalytic Properties. Materials 2017, 10, 302. [Google Scholar] [CrossRef]
  37. Parvari, R.; Ghorbani-Shahna, F.; Bahrami, A.; Azizian, S.; Assari, M.J.; Farhadian, M. α-Fe2O3/Ag/g-C3N4 Core-Discontinuous Shell Nanocomposite as an Indirect Z-Scheme Photocatalyst for Degradation of Ethylbenzene in the Air Under White LEDs Irradiation. Catal. Lett. 2020, 150, 3455–3469. [Google Scholar] [CrossRef]
  38. Liang, C.; Li, C.; Zhu, Y.; Du, X.; Yao, C.; Ma, Y.; Zhao, J. Recent advances of photocatalytic degradation for BTEX: Materials, operation, and mechanism. Chem. Eng. J. 2023, 455, 140461. [Google Scholar] [CrossRef]
  39. Liang, W.; Li, J.; Li, J.; Jin, Y. Abatement of toluene from gas streams via ferro-electric packed bed dielectric barrier discharge plasma. J. Hazard. Mater. 2009, 170, 633–638. [Google Scholar] [CrossRef] [PubMed]
  40. Dong, S.; Wang, Y.; Yang, J.; Cao, J.; Su, L.; Wu, X.; Nengzi, L.-C.; Liu, S. Performance and mechanism analysis of degradation of toluene by DBD plasma-catalytic method with MnOx/Al2O3 catalyst. Fuel 2022, 319, 123721. [Google Scholar] [CrossRef]
  41. Huang, H.; Ye, D.; Leung, D.Y.; Feng, F.; Guan, X. Byproducts and pathways of toluene destruction via plasma-catalysis. J. Mol. Catal. A Chem. 2011, 336, 87–93. [Google Scholar] [CrossRef]
Figure 1. General schematic view of the photocatalysis and non-thermal plasma pilot flowsheeting.
Figure 1. General schematic view of the photocatalysis and non-thermal plasma pilot flowsheeting.
Materials 16 06857 g001
Figure 2. Scheme (a) and sectional drawing (b) of the cylindrical reactor. (c) XRD diffractogram of pristine GFT and GFT coated with TiO2.
Figure 2. Scheme (a) and sectional drawing (b) of the cylindrical reactor. (c) XRD diffractogram of pristine GFT and GFT coated with TiO2.
Materials 16 06857 g002aMaterials 16 06857 g002b
Figure 3. (a) Toluene performance degradation at different [C7H8] and flow rates in the photocatalysis process. [T = 20 °C, UVintensity = 20 W m−2]. (b) Toluene performance degradation at different rates of humidity in the photocatalysis process. [Flow rate = 2 m3 h−1, [C7H8] = 10 mg m−3, T = 20 °C, UVintensity = 20 W m−2].
Figure 3. (a) Toluene performance degradation at different [C7H8] and flow rates in the photocatalysis process. [T = 20 °C, UVintensity = 20 W m−2]. (b) Toluene performance degradation at different rates of humidity in the photocatalysis process. [Flow rate = 2 m3 h−1, [C7H8] = 10 mg m−3, T = 20 °C, UVintensity = 20 W m−2].
Materials 16 06857 g003aMaterials 16 06857 g003b
Figure 4. Toluene/DMDS performance degradation at different plasma specific energy SEs in the plasma process. [Q = 2 m3 h−1, [COV] = 14 ppm, RH = 55%, T = 20 °C].
Figure 4. Toluene/DMDS performance degradation at different plasma specific energy SEs in the plasma process. [Q = 2 m3 h−1, [COV] = 14 ppm, RH = 55%, T = 20 °C].
Materials 16 06857 g004
Figure 5. (a) Toluene performance degradation at different plasma specific energy SE via photocatalysis, plasma, and their combination: Evidence for synergetic effect. [Q = 2 m3 h−1, [toluene] = 14 ppm, RH = 50%, T = 20 °C, UVintensity = 20 W m−2]. (b) Pollutant performance degradation when applying photocatalysis, plasma, and their combination: Evidence for synergetic effect. [Q = 2 m3 h−1, [pollutant alone: 100% toluene or DMDS] = 14 ppm, ES= 9 J L−1, RH = 50%, T = 20 °C, SE= 9 J/L, UVintensity = 20 W m−2].
Figure 5. (a) Toluene performance degradation at different plasma specific energy SE via photocatalysis, plasma, and their combination: Evidence for synergetic effect. [Q = 2 m3 h−1, [toluene] = 14 ppm, RH = 50%, T = 20 °C, UVintensity = 20 W m−2]. (b) Pollutant performance degradation when applying photocatalysis, plasma, and their combination: Evidence for synergetic effect. [Q = 2 m3 h−1, [pollutant alone: 100% toluene or DMDS] = 14 ppm, ES= 9 J L−1, RH = 50%, T = 20 °C, SE= 9 J/L, UVintensity = 20 W m−2].
Materials 16 06857 g005
Figure 6. Evolution of toluene/DMDS degradation rate in mixtures at different plasma specific energy SE via photocatalysis, plasma, and their combination: Evidence for synergetic effect. [Q = 2 m3 h−1, [Mixture of pollutant: 50% toluene + 50% DMDS] = 14 ppm, RH = 50%, T = 20 °C, UV intensity = 20 W m−2].
Figure 6. Evolution of toluene/DMDS degradation rate in mixtures at different plasma specific energy SE via photocatalysis, plasma, and their combination: Evidence for synergetic effect. [Q = 2 m3 h−1, [Mixture of pollutant: 50% toluene + 50% DMDS] = 14 ppm, RH = 50%, T = 20 °C, UV intensity = 20 W m−2].
Materials 16 06857 g006
Figure 7. Evolution of ozone concentration (ppm) with plasma specific energy SE. [Q = 2 m3 h−1, [Mixture of pollutant: 50% toluene + 50% DMDS] = 14 ppm, RH = 50%, T = 20 °C, UV intensity = 20 W m−2].
Figure 7. Evolution of ozone concentration (ppm) with plasma specific energy SE. [Q = 2 m3 h−1, [Mixture of pollutant: 50% toluene + 50% DMDS] = 14 ppm, RH = 50%, T = 20 °C, UV intensity = 20 W m−2].
Materials 16 06857 g007
Figure 8. Variation in CO2, SO2, and CO (%) and ozone (ppm) during toluene/DMDS removal with photocatalysis/plasma coupling. [Q = 2 m3 h−1, [Mixture] = 14 ppm, RH = 50%, T = 20 °C, UVintensity = 20 W m−2, SE = 4.5 J L−1].
Figure 8. Variation in CO2, SO2, and CO (%) and ozone (ppm) during toluene/DMDS removal with photocatalysis/plasma coupling. [Q = 2 m3 h−1, [Mixture] = 14 ppm, RH = 50%, T = 20 °C, UVintensity = 20 W m−2, SE = 4.5 J L−1].
Materials 16 06857 g008
Figure 9. Effect of catalysis reusability on synergetic effect in the case of mixture toluene/DMDS. [Q = 2 m3 h−1, [Mixture] = 14 ppm, RH = 50%, T = 20 °C, UVintensity = 20 W m−2, SE = 4.5 J L−1].
Figure 9. Effect of catalysis reusability on synergetic effect in the case of mixture toluene/DMDS. [Q = 2 m3 h−1, [Mixture] = 14 ppm, RH = 50%, T = 20 °C, UVintensity = 20 W m−2, SE = 4.5 J L−1].
Materials 16 06857 g009
Table 1. Parameters of combined reactor.
Table 1. Parameters of combined reactor.
ParameterValue/Domain
Gas temperatureAmbient (293 K)
Gas pressureAtmospheric pressure (1 atm)
Relative humidity(5, 60, 90) ± 5%
Specific Energy (SE)4.5–9 J.L−1
Target compound concentartion10–60 mg.m−3
Residence time1.36 s
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Khezami, L.; Assadi, A.A. Treatment of Mixture Pollutants with Combined Plasma Photocatalysis in Continuous Tubular Reactors with Atmospheric-Pressure Environment: Understanding Synergetic Effect Sources. Materials 2023, 16, 6857. https://doi.org/10.3390/ma16216857

AMA Style

Khezami L, Assadi AA. Treatment of Mixture Pollutants with Combined Plasma Photocatalysis in Continuous Tubular Reactors with Atmospheric-Pressure Environment: Understanding Synergetic Effect Sources. Materials. 2023; 16(21):6857. https://doi.org/10.3390/ma16216857

Chicago/Turabian Style

Khezami, Lotfi, and Aymen Amin Assadi. 2023. "Treatment of Mixture Pollutants with Combined Plasma Photocatalysis in Continuous Tubular Reactors with Atmospheric-Pressure Environment: Understanding Synergetic Effect Sources" Materials 16, no. 21: 6857. https://doi.org/10.3390/ma16216857

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop