催化学报  2017, Vol. 38 Issue (5): 793-804   PDF    
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Ting Wang
Si Chen
Haiqiang Wang
Zhen Liu
Zhongbiao Wu
In-plasma catalytic degradation of toluene over different MnO2 polymorphs and study of reaction mechanism
Ting Wanga,b, Si Chena,b, Haiqiang Wanga,b, Zhen Liuc, Zhongbiao Wua,b     
a. Key Laboratory of Environment Remediation and Ecological Health of Ministry of Education, College of Environmental & Resources Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China;
b. Zhejiang Provincial Engineering Research Center of Industrial Boiler & Furnace Flue Gas Pollution Control, Hangzhou 310027, Zhejiang, China;
c. Institute of Industrial Ecology and Environment, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310007, Zhejiang, China
* Corresponding author. Haiqiang Wang, Tel/Fax: +86-571-87953088; E-mail: haiqiangwang@zju.edu.cn; Zhen Liu, Tel/Fax: +86-571-87953088; E-mail: zliu@zju.edu.cn
Foundation item: This work was supported by the National Key Research and Development Plan of China (2016YFC0204700), Zhejiang Provincial "151" Talents Program (2013), Key Project of Zhejiang Provincial Science and Technology Program, the Program for Zhejiang Leading Team of S & T Innovation (2013TD07), Special Program for Social Development of Key Science and Technology Project of Zhejiang Province (2014C03025), and Changjiang Scholar Incentive Program (2009)
Abstract: α-, β-, γ-and δ-MnO2 catalysts were synthesized by a one-step hydrothermal method, and were utilized for the catalytic oxidation of toluene in a combined plasma-catalytic process. The relationship between catalytic performance and MnO2 crystal structures was investigated. It was noted that the toluene removal efficiency was 32.5% at the specific input energy of 160 J/L when non-thermal plasma was used alone. The α-MnO2 catalyst showed the best activity among the investigated catalysts, yielding a toluene conversion of 78.1% at the specific input energy of 160 J/L. For β-MnO2, γ-MnO2 and δ-MnO2, removal efficiencies of 47.4%, 66.1% and 50.0%, respectively, were achieved. By powder X-ray diffraction, Raman spectroscopy, transmission electron microscopy, scanning electron microscopy, Brunauer-Emmett-Teller, H2 temperature-programmed reduction and X-ray photoelectron spectroscopy analyses, it was concluded that the tunnel structure, the stability of the crystal in plasma, the Mn–O bond strength of MnO2 and the surface-chemisorbed oxygen species played important roles in the plasma-catalytic degradation of toluene. Additionally, the degradation routes of toluene in non-thermal plasma and in the plasma-catalytic process were also studied. It was concluded that the introduction of MnO2 catalysts enabled O3, O2, electrons and radical species in the gas to be adsorbed on the MnO2 surface via a facile interconversion among the Mn4+, Mn3+ and Mn2+ states. These four species could then be transported to the toluene or intermediate organic by-products, which greatly improved the toluene removal efficiency and decreased the final output of by-products.
© 2017, Dalian Institute of Chemical Physics, Chinese Academy of Sciences.
Published by Elsevier B.V. All rights reserved.
Key words: Toluene     Catalytic oxidation     Non-thermal plasma     MnO2     Crystal structure    
低温等离子体场内复合不同晶型氧化锰催化降解甲苯性能和机理
王婷a,b, 陈思a,b, 王海强a,b, 刘振c, 吴忠标a,b     
a. 浙江大学环境与资源学院污染环境修复与生态健康教育部重点实验室, 浙江杭州 310058;
b. 浙江省工业锅炉炉窑烟气污染控制工程技术研究中心, 浙江杭州 310027;
c. 浙江大学化学工程与生物工程学院工业生态与环境研究所, 浙江杭州 310007
摘要:作为典型的挥发性有机化合物, 甲苯通常来源于建筑涂料、交通运输和各种工业生产过程, 是PM2.5、臭氧和光化学烟雾的重要前驱体, 对环境和人类健康造成巨大影响.近年来, 低温等离子体技术因具有在常温常压下就能通过高能电子、活性氧物种和羟基等活性粒子有效降解挥发性有机物的优点而受到广泛关注.然而, 高能耗和大量副产物的产生是等离子体技术工业化应用的巨大障碍.当前最有效的策略之一是将等离体技术与催化技术结合, 从而加快反应速率, 提高产品的选择性和能源利用率.在所应用的催化剂中, MnO2因具有较好的O3分解效率而成为最有潜力的催化剂之一.但是MnO2具有不同的晶型结构、隧道结构和形貌, 这些均会显著影响MnO2的催化活性.本文通过一步水热法制备了α-, β-, γ-和δ-MnO2四种MnO2催化剂, 并将其用于等离子体催化降解甲苯研究, 在此基础上系统考察了等离子体催化降解性能和MnO2不同晶型之间的关系. 结果表明, 当能量密度为160 J/L时, 等离子体单独降解甲苯去除效率为32.5%.引入催化剂能够显著提高甲苯的降解效率, 其中α-MnO2效果最显著, 甲苯降解效率能够提升至78.1%, β-, γ-和δ-MnO2能够相应提升至47.4%, 66.1%和50.0%.采用X射线衍射、拉曼光谱、扫面电子显微镜、透射电子显微镜、比表面积-孔结构分析、氢气程序升温还原和X射线光电子能谱等手段研究了催化剂的理化特性.结果表明, 隧道结构、催化剂在等离子体中的稳定性、Mn–O键能和催化剂表面吸附氧均在等离子体催化降解甲苯中发挥了重要作用.在此基础上, 通过GC-MS分析降解产生的气相副产物推断甲苯在等离子体和等离子体催化体系中的降解机理.在等离子体催化体系中, 通过Mn4+, Mn3+和Mn2+价态的变化, 等离子体产生的O3, O2*和其他活性自由基会被吸附到催化剂表面, 随后与催化剂吸附的甲苯或中间副产物发生氧化还原反应, 将甲苯氧化为CO2等小分子物质.此外, MnO2作为分解O3最有效的催化剂, 可以吸附O3并将其分解为O·或者与H2O生成·OH参与到反应中, 从而提高甲苯的降解效率.
关键词甲苯    催化氧化    低温等离子体    氧化锰    晶型结构    

1 Introduction

Toluene, a typical volatile organic compound (VOC), is emitted from architectural coatings, motor vehicles and various industrial processes [1, 2], and is an important precursor for forming PM2.5, O3 and photo-chemical smog, which are harmful to the environment and human health [3-5]. Over the decades, numerous technologies have been developed to limit the emission of VOCs, using techniques such as adsorption, photocatalysis, catalytic combustion, bio-decomposition and membrane separation[6-9]. In recent years, non-thermal plasma (NTP) for the degradation of VOCs has attracted significant attention because of its high efficiency in the removal of VOCs at ambient temperature and pressure. This technology functions through the generation of hard electrons, active oxygen species, hydroxyl radicals and energetic nitrogen species to oxidize the VOCs [10-12]. However, high energy consumption by the plasma and large amounts of by-products have significantly limited its industrial applications [13, 14]. A promising strategy to overcome these drawbacks is the combination of NTP and catalysis, which has the potential to enhance the reaction rate, product selectivity and energy utilization ratio [15-17]. The catalysts used thus far in combined plasma-catalytic systems include various metallic oxides, such as those of Mn [13, 15-18], Co [19, 20], Ni [18], Ti [13, 19], Cu [18, 20], Ag [16, 17], Fe [11, 18]and Ce [18-20]. The active oxygen species generated from the decomposition of O3, such as atomic oxides and superoxide radicals, are reported to play important roles in the oxidation of VOCs in plasma-catalytic processes [10, 21], while among the transition metal oxides, MnO2 is among the most active for the decomposition of O3 [22, 23]. MnO2 shows a wide diversity of phase structures, crystal morphologies and tunnel structures, which significantly influence its catalytic performance [24-27]. As such, the effect of MnO2 phase structures on the plasma-catalytic degradation of VOCs merits detailed investigation.

In this work, α-, β-, γ-and δ-MnO2 catalysts were synthesized by a one-step hydrothermal method. The relationship between the plasma-catalytic performance of toluene degradation and the different phase structures of MnO2 was investigated. A surface dielectric barrier discharge (SDBD) reactor was utilized to produce the plasma. The catalysts and plasma were then combined in an in-plasma catalytic system by placing the catalysts in the SDBD reactor. Powder X-ray diffraction (XRD), Raman spectroscopy (Raman), scanning electron microscopy (SEM), transmission electron microscopy (TEM), the Brunauer-Emmett-Teller (BET) method, H2 temperature-programmed reduction (H2-TPR) and X-ray photoelectron spectroscopy (XPS) were used to evaluate the relationship between the phase structure and plasma-catalytic performance. The by-products of toluene degradation in the plasma-catalytic system were analyzed to deduce the reaction mechanism of toluene over the MnO2catalysts.

2 Experimental
2.1 Catalyst preparation

Four different phase structures of MnO2 were synthesized by the hydrothermal process as described in previous reports [25, 27, 28]. All reagents were of analytical grade and used without further treatment. For the preparation of α-MnO2 [29], 2.37 g KMnO4was dissolved in 0.4 mol/L CH3COOH solution (150 mL). After stirring magnetically for about 0.5 h to form a homogeneous solution, it was transferred to a Teflon-lined stainless steel autoclave (200 mL), sealed and maintained at 140 ℃ for 12 h in an oven. Thereafter, the autoclave was naturally cooled to room temperature and the sediment in the solution was washed with distilled water and ethanol several times, and dried at 80 ℃ for about 12 h. Similar to the α-MnO2, for the preparation of β-MnO2, 6.42 g (NH4)2S2O8 and 3.17 g MnSO4·H2O were mixed in 150 mL distilled water at 150 ℃ for 16 h. To obtain γ-MnO2[30], 6.32 g MnSO4·H2O was reacted with 8.578 g (NH4)2S2O8 at 90 ℃ for 24 h. The δ-MnO2 was obtained from the reaction of 0.52 g MnSO4·H2O and 2.81 g KMnO4 at 200 ℃ for 24 h [27].

2.2 Catalyst characterizations

Nitrogen adsorption apparatus (JW-BK132F, Beijing JWGB Sci. & Tech. Co., Ltd, Beijing, China) was used to measure the specific surface area and pore characteristics by the multipoint BET method. The samples were preprocessed at 200 ℃ prior to the measurements.

The microstructures and morphologies of the prepared samples were investigated by SEM (Ultra 55, Carl Zeiss AG, USA) and TEM (JEM-2010, Japan). Samples were prepared by coating the powder onto a conductive tape for the SEM measurements. For the TEM measurements, samples were prepared by dispersing the powder in ethanol solvent and dropping onto the membrane.

Powder XRD was conducted using a powder diffractometer with Cu Kα radiation (Model D/max RA, Rigaku Co., Japan). The data were collected at scattering angles (2θ) ranging from 10° to 80° with a step size of 0.02°.

H2-TPR measurements were conducted on a Chemisorption Analyzer equipped with a custom-made thermal conductivity detector (TCD). Prior to the measurement, a precisely weighed 50 mg sample was purged with He at 200 ℃ for 1 h and then naturally cooled to room temperature, then purged with N2 containing 6% H2 (30 mL/min) and heated from 100 to 600 ℃ at a linear heating rate of 10 ℃/min.

XPS was performed using a Thermo ESCALAB 250 instrument, with Al Kα X-ray radiation ( = 1486.6 eV) at 150 W as the excitation source. The data were corrected by setting the binding energy of adventitious carbon (C 1s) at 285.0 eV.

Raman spectroscopy was performed at room temperature with a resolution of approximately 0.6 cm−1using an SPEX-1403 laser. A back-scattering configuration was used to excite the crystals with an Ar-ion laser at a wavelength of 514.5 nm (Raman: Lab RAM-HR, SPEX-1403, France).

2.3 Plasma-catalytic activity and by-product measurements

Fig. 1 shows a schematic diagram of the experimental setup, which consisted of three parts: a tabular plasma-catalytic reactor (volume = 140 mm × 50 mm × 30 mm), a reaction gas supply system and an analytical instrument. Two planar SDBD generators were installed on the top and bottom plates of the tabular plasma-catalytic reactor, respectively. The SDBD generator (Fig. 2) consisted of three parts: a quartz glass plate (170 mm × 80 mm × 1 mm) as the dielectric, a high-voltage electrode (copper plate, 140 mm × 50 mm × 1 mm) and a grounded electrode (stainless steel net, 160 mm × 70 mm × 1 mm). The SDBD plasma was generated using a pulsed power supply system created in-house. Fig. 3 shows a simplified circuit diagram of the system, which was based on fast MOSFETs, and could produce high-voltage pulses with a peak voltage up to 6 kV and a width of 1-4 μs at a repetition rate of up to 30 kHz. The pulse energy was up to 30 mJ/pulse, and the average power was up to 1 kW. Twelve frosted-glass slides (160 mm × 28 mm × 1.25 mm) for the loading of catalysts were vertically placed in the cavity of the tabular plasma-catalytic reactor. The catalysts were coated onto the glass slides using a dip-coating method, with 0.3 g catalyst used for each glass slide in each test. The gas stream was composed of (120 ± 5) × 10-4% toluene, 20 vol% O2 and 80 vol% N2 (total flow rate = 2 L/min), and was mixed in a mixing chamber (0.5 L) before entering the reactor. The experiments were carried out at atmospheric pressure and ambient temperature, and the decomposition experiments using the plasma were initiated when the concentration of toluene at the outlet reached a steady state (i.e., the concentration at the outlet was approximately the same as at the inlet). The results of blank experiments indicated that the four catalysts had no capacity for the catalytic oxidation of toluene when used alone.

Fig. 1. Schematic diagram of the experimental setup.
Fig. 2. (a) General scheme for plasma; (b) Photograph of plasma in planar reactor.
Fig. 3. Simplified circuit diagram of pulsed power supply.

The concentration of toluene and production of CO/CO2 were evaluated on-line using a chromatograph (GC, PuxiG5, China) equipped with two flame ionization detectors and a nickel converting equipment for the determination of CO/CO2. The O3 and NOx concentrations were determined by an O3detector (UV-100, Eco Sensors, USA) and NOx detector (Photon Ⅱ + PGD100, Madur, Austria).

The off-gas contained various gaseous products, which were captured using an adsorption tube (Tenax TA/Tenax GR) at the specific input energy (SIE) of 160 J/L for 30 min. The adsorbed compounds were released and injected into a GC/MS (Agilent 7890A GC equipped with an Agilent 5975C MS) using a thermal desorption instrument (TDI, PERSEE-TP7, China).

The SIE in the tabular plasma-catalytic reactor, toluene removal efficiency (η, %), carbon dioxide yield and carbon monoxide yield (COx yield, %) were calculated as follows. The waveform, current and voltage were obtained using a digital oscilloscope (TDS 2012C, Tektronix), current probe (CP8030A, Zhiyong) and high-voltage probe (P6015A, Tektronix), respectively.

(1)
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3 Results and discussion
3.1 Toluene decomposition performance
3.1.1 Toluene removal efficiency

The toluene removal efficiencies of the four MnO2 polymorphs via plasma-catalytic degradation are depicted in Fig. 4 as a function of the SIE. In this figure, we can see that the removal efficiencies improved as the SIE was increased, regardless of the catalyst. When the NTP was used alone, the toluene removal efficiency was 32.5 % at the SIE of 160 J/L. In comparison, when the four MnO2 polymorphs were introduced, the removal efficiencies over α-MnO2, β-MnO2, γ-MnO2 and δ-MnO2increased to ca. 78.1%, 47.4%, 66.1% and 50.0%, respectively, at the SIE of 160 J/L. Thus, the introduction of catalysts into the plasma significantly improved the toluene removal efficiency, with α-MnO2 affording the greatest improvement.

Fig. 4. Toluene removal efficiency in the plasma-catalytic systems and plasma alone.
3.1.2 COx yield, NOx concentration and O3concentration

The COx yield, the amount of NOx generated and the concentration of O3generated by plasma alone and by the plasma-catalytic processes with different catalysts are illustrated in Fig. 5. Like the toluene removal efficiencies, the COx yields also increased with increasing SIE, regardless of the catalyst (Fig. 5(a)). With the introduction of the MnO2 catalysts, the COx yields of the plasma-catalytic systems were greatly improved, in particular for α-MnO2. The generation of NOx and O3 with and without the catalysts are shown in Figs. 5(b) and (c), respectively. NOx was generated by the reaction between N2 and O2 in the discharge zone of the NTP reactor [31, 32], and the amount increased with increasing SIE. The concentration of NOx generated in our experiments was similar to previously reported values [33, 34]. Fig. 5(c) presents the O3production in the plasma system and the amount of residual O3 in the plasma-catalytic systems as a function of the SIE, showing positive correlations between the O3 production and the SIE values. The O3 production increased from 200 × 10-4% to 1000 × 10-4% when the SIE was increased from 50 to 350 J/L. O3 is reported [10] to play a significant role in the degradation of toluene. The in-situ decomposition of O3 leads to the formation of atomic oxygen, which can react with pollutants. However, the residual O3 in the exhaust gas is itself a source of secondary air pollution, so its amount must be carefully controlled. As shown in Fig. 5(c), the introduction of the MnO2catalysts heavily reduced the concentration of residual O3, except in the case of β-MnO2.Comparison of the toluene removal efficiencies in Fig. 4 with the residual O3 concentrations in Fig. 5c indicates that the adsorption of O3 at the catalyst surface played a key role in the degradation of toluene. The decomposition of O3 proceeds through two kinetically irreversible steps, i.e., the adsorption of O3 on the catalyst surface and the desorption of O2. The intermediate products of this reaction are peroxide species, which in turn react with toluene [22].

Fig. 5. Toluene degradation in the plasma-catalytic systems or plasma alone. (a) COx yield; (b) Amount of NOx generated; (c) O3 concentration.
3.2 Characterizations
3.2.1 Tunnel structure, crystal structure and morphology of MnO2 catalysts

The catalytic performances of the MnO2 catalysts were closely related to their physical and chemical properties. As reported [26, 35], all of the different MnO2 polymorphs are built from units of edge-sharing MnO6 octahedra. Depending on the different ways in which the MnO6octahedra are interlinked, the resulting crystal phase structures are composed of different proportions of tunnels or interlayers [26, 35]. The crystal phase structure of α-MnO2 consists of one-dimensional (2 × 2) and (1 × 1) tunnels, which are composed of double chains of edge-sharing MnO6octahedra, and stabilized by K+ or H3O+ [36, 37]. The pyrolusite form, β-MnO2(P42/mnm), is the densest and most stable polymorph of MnO2, having a rutile-type structure with an infinite chain of MnO6octahedra sharing opposite edges. Each chain is corner-linked with four like chains, as a consequence of the formation of (1 × 1) channels in the β-MnO2 structure [37, 38]. The structure of γ-MnO2is characterized by the random intergrowth of pyrolusite layers (1 × 1 channels) and a ramsdellite matrix (2 × 1 channels), in which the basic building blocks of MnO6octahedra share the edges and corners. As a result, the structure of γ-MnO2 is the most complex [30, 39]. Finally, δ-MnO2is constructed from sheets of edge-sharing MnO6octahedra forming a 2D layer structure, separated by layers of OH, K+ or H2O [40].

Chen et al. [24] have suggested that the channel structure of MnO2 catalysts influences their capacity to adsorb oxygen at the surface, which is directly related to the oxidation of NO. Liang et al. [25] found that CO molecules were chemisorbed onto MnO2 nanorods via direct contact with the tunnel structure of the rods, thus greatly influencing the catalytic performance for CO oxidation. Zhang et al. [27] concluded that the interlayer structure of MnO2was beneficial for the diffusion and adsorption of HCHO molecules, and promoted their oxidation more strongly than the (2 × 2) tunnel structure. Indeed, our experimental results were in agreement with these reports, the tunnel structure will influence the performance of the catalysts. The toluene removal efficiencies of the different MnO2catalysts were linked to the tunnel structure, as discussed below.

The crystallographic structures of the various MnO2 catalysts were investigated by XRD. The XRD patterns of the used MnO2 catalysts were also recorded. As shown in Fig. 6, the four MnO2 catalysts showed different reflections, all of which could be indexed to the respective pure crystal phase (i.e., α-MnO2(JCPDS Card No. 44-0141), β-MnO2(JCPDS Card No. 24-0735), γ-MnO2(JCPDS Card No. 14-0644) and δ-MnO2(JCPDS Card No. 80-1098)). The diffraction peaks for α-MnO2 and β-MnO2 were much greater in intensity and narrower in width compared with those for γ-MnO2 and δ-MnO2. The poor crystallinity of γ-MnO2 was mainly attributed to the incorporation of defects during synthesis, which involved a random intergrowth of pyrolusite layers within the ramsdellite matrix [39]. As for δ-MnO2, the large set of diffraction peaks indicated a high degree of structural disorder in certain crystallographic directions [41]. The characteristic diffraction peaks remained present in the XRD profiles of all the used catalysts. This verified that the crystal phases of MnO2 were retained after the plasma-catalytic reaction. However, the positions of the diffraction peaks for δ-MnO2were shifted to higher diffraction angles by about 0.2°, revealing a decrease in the d spacing.

Fig. 6. XRD patterns of the four MnO2 catalysts before and after the reaction.

Raman spectroscopy was also performed to investigate in more detail the crystal structures of α-, β-, γ-and δ-MnO2before and after the reaction. As shown in Fig. 7, the peaks between 500 and 700 cm-1 were assigned to the stretching modes of MnO6octahedra. The Raman scattering spectrum of α-MnO2, containing K+, contained bands at 183, 192, 384, 572, 628 and 748 cm-1[36, 42]. The bands at 572 and 628 cm-1originated from the breathing vibrations of MnO6 octahedra within a tetragonal hollandite-type framework. For β-MnO2, one strong band at 643 cm-1 and two weak bands at 529 and 750 cm-1were identified as the stretching modes of MnO6 octahedra [36]. Since the synthetic process for γ-MnO2 results in a random intergrowth of pyrolusite layers (β-MnO2) within a ramsdellite (R-MnO2) matrix, the spectra of γ-MnO2 consisted of a superposition of the peaks of these two crystal forms of MnO2. The sharp band at 630 cm-1 and the weak band at 575 cm-1 corresponded to R-MnO2, and the strong band at 656 cm-1 along with the weak band at 530 cm-1corresponded to β-MnO2[38]. The Raman spectra of δ-MnO2 displayed two main bands at around 570 and 638 cm-1. The band at 638 cm-1 may have originated from the symmetric stretching vibration (Mn-O) of the MnO6 groups, and the band at 570 cm-1 was identified as the Mn-O stretching of the baseline plane of the MnO6 sheet [40]. Comparing the Raman spectra of the MnO2 catalysts before and after the plasma-catalytic reaction, it was found that the peak at around 570 cm-1, which was considered as the Mn-O lattice vibration in the MnO2 octahedral lattice, decreased in intensity for δ-MnO2and increased for γ-MnO2. Additionally, the band at around 637 cm-1, which can be assigned to the Mn3O4structure, increased greatly in intensity for β-, γ-and δ-MnO2[43]. In contrast, no significant structural change was observed for α-MnO2 before and after the plasma-catalytic reaction.

Fig. 7. Raman spectra of the four MnO2 catalysts before and after the reaction.

The BET specific surface areas (ABET), total pore volumes (Vpore) and average pore sizes (Dpore) of the different MnO2catalysts are summarized in Table 1. It can be seen that δ-MnO2 had the highest specific surface area and total pore volume among the investigatedcatalysts, while γ-MnO2 had the highest average pore size.

Table 1
Specific surface areas (ABET), pore volumes (Vpore) and average pore sizes (Dpore) of the α-, β-, γ-and δ-MnO2catalysts.

The surface structure and morphology of the MnO2 catalysts were studied by SEM and TEM analyses. As shown in Figs. 8 and Fig. 9, α-MnO2, which was composed of uniform nanorods acting as dispersive nanowires, displayed a dendritic nanostructure. The lengths of the nanowires ranged from 0.4 to 1.6 µm, with the diameters ranging from 20 to 40 nm. The panoramic morphology of the β-MnO2 powder consisted of rod-like crystals, which were 40-200 nm in diameter and 0.4-2 µm in length. As for γ-MnO2, it consisted of microparticles with a morphology resembling sea urchins, covered with numerous crystalline and well-ordered nanowires. The nanowires had lengths ranging from 0.9 to 2.0 μm and diameters of around 10-20 nm. δ-MnO2 displayed a hierarchical architecture with microspherical cores and nanosheet coronas, forming a globular morphology with diameters of 1-2 μm and widths of 10-20 nm.

Fig. 8. SEM images of α-(a), β-(b), γ-(c) and δ-(d) MnO2 catalysts at different magnifications.
Fig. 9. TEM images of α-(a), β-(b), γ-(c) and δ-(d) MnO2 catalysts at different magnifications.
3.2.2 H2-TPR and XPS analyses

The H2-TPR profiles of the four MnO2 catalysts were measured to explore the redox potentials of the catalysts. As shown in Fig. 10(a), the β-MnO2contained two narrow peaks at 314 and 330 ℃ and a broad peak at 438 ℃. The hydrogen consumption calculated from the lower-temperature peak was double that of the higher-temperature peak. According to previous reports [44, 45], the low-temperature peaks originate from the reduction of MnO2 to Mn2O3and of Mn2O3to Mn3O4, whereas the high-temperature peak was attributed to the reduction of Mn3O4 to MnO. The profile of γ-MnO2contained three reduction peaks, which were all shifted to slightly to lower temperatures, i.e., 280, 288 and 403 ℃, but was otherwise qualitatively similar to that of β-MnO2. The areal ratio of the higher-temperature peak to the lower-temperature peak was measured to be around 1:1. The low-temperature peaks and high-temperature peak in this catalyst can be attributed to the reduction of MnO2 to Mn2O3and of Mn2O3 to MnO, respectively. In contrast, the TPR profiles of α-and δ-MnO2 were very different from those of β-and γ-MnO2. α-MnO2showed two reduction peaks at 316 and 326 ℃. Similarly, δ-MnO2exhibited two overlapping reduction peaks at 280 and 300 ℃. The detailed reduction process giving rise to these peaks is not clear, but probably involved the reduction of MnO2 to MnO with the simultaneous reductions of Mn2O3and Mn3O4. For all four MnO2 polymorphs, the main reduction product was MnO. This was deduced from the observation of green powders after the H2-TPR experiments [25]. Based on the H2-TPR analyses, it was concluded that the initial reduction temperatures of the four MnO2catalysts decreased in the order of γ-≈ δ- > α-≈ β-. However, the initial H2 consumption rate per mole of Mn is considered a better indicator for comparing the reducibility of the catalysts [46]. Fig. 10(b) shows the initial H2 consumption rates per mole of Mn before reduction reached 20% (i.e., before any phase transformation) versus inverse temperature. The results indicate that the initial H2 consumption rates decreased in the order of α-MnO2 > β-MnO2 > δ-MnO2 > γ-MnO2. Thus, even though γ-MnO2and δ-MnO2 had shown the lowest initial reduction temperatures, α-MnO2achieved the highest initial H2 consumption rate. This might imply that α-MnO2 possessed better oxygen mobility, allowing more oxygen to be produced and adsorbed on the surface of the catalyst and become available to the plasma-catalytic reaction.

Fig. 10. H2-TPR profiles (a) and initial H2 consumption rates (b) of α-, β-, γ-and δ-MnO2 catalysts.

XPS analyses were conducted to identify the superficial elemental species for each catalyst, specifically the surface content of Mn and O. As shown in Fig. 11(a), each catalyst showed two dissymmetric peaks located at 642.2 (Mn 2p3/2) and 653.9 eV (Mn 2p1/2). The Mn 2p3/2and Mn 2p1/2 peaks could each be decomposed into two sub-peaks, corresponding to different Mn oxidation states. The sub-peaks located at 641.9 (or 642.1) and at 653.5 (or 653.7) eV were assigned to Mn3+(2p3/2) and Mn3+(2p1/2) ions, respectively, while the sub-peaks situated at 642.8 and 654.2 eV were assigned to Mn4+(2p3/2) and Mn4+(2p1/2) ions, respectively [27, 47]. By quantitative analysis of the Mn 2p spectra, the molar ratios of Mn4+/Mn3+ on the surface were calculated, as presented in Table 2. The different crystal phase structures of the MnO2 catalysts exhibited clearly different surface Mn4+/Mn3+molar ratios, which followed the sequence δ-MnO2 > α-MnO2 > γ-MnO2 > β-MnO2.

Fig. 11. XPS spectra of α-, β-, γ-and δ-MnO2 catalysts. (a) Mn 2p; (b) O 1s.
Table 2
Mn 2p binding energy and surface atomic Mn4+/Mn3+ ratio of the α-, β-, γ-and δ-MnO2catalysts.

The XPS spectra of O 1s are shown in Fig. 11(b). The O 1s spectra could be divided into three regions, wherein the binding energy (BE) in the range of 529.2-530.8 eV was denoted Olat(Mn-O-Mn bond), corresponding to lattice oxygen species; the BE at 531.0-532.6 eV was assigned to oxide defects or surface-chemisorbed oxygen species (Osur, Mn-OH bond), which originated from surface oxygen vacancies; and the BE at 532.6-534.0 eV corresponded to adsorbed molecular water (Oads, H-O-H bond) [48-50]. From Fig. 11(b), it can be seen that Olat, Osurand Oads were located at 529.8 ± 0.2, 531.6 ± 0.2 and 533.1 ± 0.3 eV, respectively. Relative to the other three catalysts, the O 1s peak of β-MnO2 was shifted by 0.4 eV toward lower binding energies [24, 25, 27]. It is well known that surface-chemisorbed oxygen species are more active than lattice-bound oxygen species, and play critical roles in oxidation reactions because of their higher mobility [48, 51]. Therefore, the molar ratios of surface-bound oxygen, i.e., Osur/Olat, were also measured and are given in Table 3. The ratios Osur/Olat decreased in the order γ-MnO2 > α-MnO2 > β-MnO2 > δ-MnO2, which is consistent with the sequence of catalytic activities for toluene oxidation for the four MnO2 catalysts. In addition, some hydroxyl species were also present on the surface of α-MnO2.

Table 3
O 1s binding energy and surface atomic Osur/Olat ratio of the α-, β-, γ-and δ-MnO2catalysts.
3.3 Catalytic performance of MnO2

From the aforementioned results, it can be concluded that the catalytic performance of the different MnO2catalysts in the plasma-catalytic reaction was related to the variations in their tunnel structure, crystal phase and other physicochemical properties. The XPS results indicated that the molar ratios of Osur/Olat on the catalyst surface decreased in the sequence γ-MnO2 > α-MnO2 > β-MnO2 > δ-MnO2. The H2-TPR experiments revealed that α-MnO2 possessed the highest oxygen mobility. The tunnel structure analyses showed that α-MnO2 was composed of one-dimensional channels with (2 × 2) and (1 × 1) tunnels, which was beneficial for the adsorption and diffusion of toluene to active sites. The XRD and Raman spectra of fresh and used MnO2 catalysts suggested that all of the polymorphs except α-MnO2 underwent structural changes during the plasma-catalytic reaction. All of these results support the designation of α-MnO2as the best-performing catalyst in the plasma-catalytic degradation of toluene.

Moreover, it has been reported that the Mn-O bond strength of MnO2 can also affect the catalytic performance of MnO2catalysts [25, 37, 39]. An increase of the Mn-O bond length indicates a decrease of the bond strength [25]. The average Mn-O bond lengths of the α-, β-, γ-and δ-MnO2 catalysts [25, 37, 39] were calculated as 1.98, 1.88, 1.91 and 1.94 Å , respectively. This implies that the Mn-O bond strengths increase in the order: α- < δ- < γ- < β-MnO2. Thus, the Mn-O bond is most easily broken in the reaction of α-MnO2, which hence showed the best catalytic performance among the tested MnO2 oxides.

3.4 By-product generation in off-gases and proposed degradation mechanism of toluene in plasma-catalytic process

To identify the by-products generated in the off-gases from the toluene degradation process, GC-MS measurements were conducted during the reactions with sole NTP or the combined plasma-catalysts with α-, β-, γ-and δ-MnO2. The reaction SIE was set at 160 J/L to ensure the conversion of toluene and the generation of sufficient detectable by-products. In each experiment, an adsorption column was used to collect the outlet gas for 30 min, and the gas was then desorbed in a thermal analyzer equipped with a GC-MS for subsequent analyses. As shown in Fig. 12, the main products included carbon dioxide (CO2), 2-methylpropene (C4H8), ethane (C2H6), furan (C4H4O), water (H2O), benzene (C6H6), methyl formate (HCOOCH3), acetaldehyde (CH3CHO), toluene (C7H8) and acetone (CH3COCH3). Previous studies have identified the by-products formed in the NTP process [12, 52]. In the present study, both the number of species detected and the total amounts of the organic by-products were heavily reduced with the introduction of the α-, β-, γ-and δ-MnO2catalysts (Fig. 12). The lower levels of organic by-products in the combined plasma-catalytic process implied that the toluene had been deeply oxidized to CO2and CO in this process.

Fig. 12. GC-MS measurements of the off-gases from toluene oxidation by NTP or the combined plasma-catalysts with α-, β-, γ-and δ-MnO2at the SIE of 160 J/L.

In the plasma reactor (i.e., NTP alone), the major reaction pathways of toluene degradation were initiated by high-energy electrons, hydroxyl radicals, excited nitrogen species and active oxygen species (i.e., •OH, N, N2*, O•, O2*, O2-). The degradation of toluene proceeded via two processes: direct degradation and secondary oxidation. Direct degradation was induced by the collision of toluene molecules with electrons and by the reaction between toluene and gas-phase radicals, as illustrated in Fig. 13(a). In direct degradation, the collision between toluene molecules and high-energy electrons triggered the excitation of toluene into an activated state, accompanied by opening of the aromatic ring. Then, the reaction proceeded by a series of oxidation steps by O•, •OH, etc., leading to the generation of CO2and H2O. In the secondary oxidation process, radicals such as •OH, N, N2*, O•, O2* and O2- were generated in the plasma process and reacted with toluene molecules in the activated state. This resulted in opening of the aromatic ring, followed by a suite of hydroxylation steps, which eventually led to the formation of CO2and H2O [1].

Fig. 13. Proposed degradation routes of toluene in plasma and in the plasma-catalytic process.

In the plasma-catalytic process, the major pathways of toluene degradation were likewise initiated by high-energy electrons and radical species. As shown in Fig. 13(b), the proposed reaction mechanism could be divided into two parts [11]: reactions in the gas phase and reactions at the catalyst surface. The former involved the direct degradation of toluene through collision with electrons followed by oxidation driven by the active free radicals (•OH, N, N2*, O•, O2*, O2-). The latter involved the oxidation of adsorbed toluene and its intermediate by-products (2-methylpropene, ethane, furan, benzene, methyl formate, acetaldehyde and acetone) by active species (such as O• and •OH). The reactions at the catalyst surface depended on the chemisorption of toluene, the Mn-O bond strength of MnO2, the amounts of chemisorbed oxygen species and the transformations among MnO2, Mn2O3, Mn3O4 and MnO. In the plasma-catalytic process, the O3, O2 and electrons in the gas stream could be adsorbed and transported to the toluene or intermediate by-products at the catalyst surface via a facile interconversion among Mn4+, Mn3+ and Mn2+ states, which then promoted the deep oxidation of toluene to produce greater amounts of CO2. Furthermore, MnO2is the most active metal oxide for the decomposition of O3 [22, 23], thereby producing O2 and O•, which can also oxidize toluene and intermediate organic by-products.

4 Conclusions

α-, β-, γ-and δ-MnO2catalysts were synthesized by a hydrothermal method, and their performance in the plasma-catalytic oxidation of toluene was evaluated. When NTP was used alone, the toluene removal efficiency was 32.5% with the SIE of 160 J/L. Among the investigated catalysts, α-MnO2showed the best activity, increasing the toluene conversion from 32.5% to 78.1% at the SIE of 160 J/L. For β-MnO2, γ-MnO2and δ-MnO2at the same SIE, their toluene conversion efficiencies were measured at 47.4%, 66.1% and 50.0%. Among the four MnO2 polymorphs, α-MnO2possessed a double-tunneled structure, the most stable crystal phase in the plasma and the weakest Mn-O bond strength. α-MnO2contained a larger content of surface-adsorbed oxygen than β-and δ-MnO2, but slightly lower than γ-MnO2. Thus, α-MnO2achieved by far the most impressive catalytic performance for the degradation of toluene among the four tested polymorphs. In addition, the degradation routes of toluene in the plasma-only and plasma-catalytic processes were investigated and a mechanism was proposed. The introduction of MnO2 catalysts promoted the adsorption of O3, O2, electrons and radical species in the gas stream, which were then transported to molecules of toluene (or its intermediate by-products) at the catalyst surface through facile interconversion among Mn4+, Mn3+and Mn2+states. This promoted the deep oxidation of toluene to produce greater amounts of CO2.

References
[1] W. J. Liang, L. Ma, H. Liu, J. Li, Chemosphere, 2013, 92: 1390–1395. DOI:10.1016/j.chemosphere.2013.05.042
[2] Y. Liu, M. Shao, L. L. Fu, S. H. Lu, L. M. Zeng, D. G. Tang, Atmos. Environ., 2008, 42: 6247–6260. DOI:10.1016/j.atmosenv.2008.01.070
[3] P. S. Zhao, F. Dong, Y. D. Yang, D. He, X. J. Zhao, W. Z. Zhang, Q. Yao, H. Y. Liu, Atmos. Environ., 2013, 71: 389–398. DOI:10.1016/j.atmosenv.2013.02.010
[4] J. Y. Zheng, M. Shao, W. W. Che, L. J. Zhang, L. J. Zhong, Y. H. Zhang, D. Streets, Environ. Sci. Technol., 2009, 43: 8580–8586. DOI:10.1021/es901688e
[5] K. H. Kim, S. A. Jahan, E. Kabir, Environ. Int., 2013, 59: 41–52. DOI:10.1016/j.envint.2013.05.007
[6] C. Y. Ma, Z. Mu, C. He, P. Li, J. J. Li, Z. P. Hao, J. Environ. Sci., 2011, 23: 2078–2086. DOI:10.1016/S1001-0742(10)60674-2
[7] F. Dong, H. Q. Wang, G. Sen, Z. B. Wu, S. C. Lee, J. Hazard. Mater., 2011, 187: 509–516. DOI:10.1016/j.jhazmat.2011.01.062
[8] W. Z. Wang, X. Fan, T. L. Zhu, H. N. Wang, D. Q. Ye, X. W. Hong, Chem. Eng. J., 2016, 299: 184–191. DOI:10.1016/j.cej.2016.04.045
[9] Z. X. Zhang, Z. Jiang, W. F. Shangguan, Catal. Today, 2016, 264: 270–278. DOI:10.1016/j.cattod.2015.10.040
[10] A. M. Harling, D. J. Glover, J. C. Whitehead, K. Zhang, Appl. Catal. B, 2009, 90: 157–161. DOI:10.1016/j.apcatb.2009.03.005
[11] M. J. Lu, R. Huang, J. L. Wu, M. L. Fu, L. M. Chen, D. Q. Ye, Catal. Today, 2015, 242: 274–286. DOI:10.1016/j.cattod.2014.07.026
[12] J. Van Durme, J. Dewulf, W. Sysmans, C. Leys, H. Van Langenhove, Chemosphere, 2007, 68: 1821–1829. DOI:10.1016/j.chemosphere.2007.03.053
[13] I. Aouadi, J. M. Tatibouët, L. Bergaoui, Plasma Chem. Plasma Process., 2016, 36: 1485–1499. DOI:10.1007/s11090-016-9740-3
[14] X. J. Tang, F. Q. Feng, L. L. Ye, X. M. Zhang, Y. F. Huang, Z. Liu, K. P. Yan, Catal. Today, 2013, 211: 39–43. DOI:10.1016/j.cattod.2013.04.026
[15] A. M. Vandenbroucke, R. Morent, N. De Geyter, C. Leys, J. Hazard. Mater., 2011, 195: 30–54. DOI:10.1016/j.jhazmat.2011.08.060
[16] F. D. Feng, Y. Y. Zheng, X. J. Shen, Q. Z. Zheng, S. L. Dai, X. M. Zhang, Y. F. Huang, Z. P. Liu, K. Yan, Environ. Sci. Technol., 2015, 49: 6831–6837. DOI:10.1021/acs.est.5b00447
[17] X. X. Xu, P. T. Wang, W. C. Xu, J. L. Wu, L. M. Chen, M. L. Fu, D. Q. Ye, Chem. Eng. J., 2016, 283: 276–284. DOI:10.1016/j.cej.2015.07.050
[18] J. L. Wu, Y. X. Huang, Q. B. Xia, Z. Li, Plasma Chem. Plasma Process., 2013, 33: 1073–1082. DOI:10.1007/s11090-013-9485-1
[19] L. Wang, C. B. Zhang, H. He, F. D. Liu, C. X. Wang, J. Phys. Chem. C, 2016, 120: 6136–6144. DOI:10.1021/acs.jpcc.6b00870
[20] Y. Z. Li, Z. Y. Fan, J. W. Shi, Z. Y. Liu, J. W. Zhou, W. F. Shangguan, Catal. Today, 2015, 256: 178–185. DOI:10.1016/j.cattod.2015.02.003
[21] U. Roland, F. Holzer, F.D. Kopinke, Appl. Catal. B, 2005, 58: 217–226. DOI:10.1016/j.apcatb.2004.11.024
[22] W. Li, S. T. Oyama, J. Am. Chem. Soc., 1998, 120: 9047–9052. DOI:10.1021/ja9814422
[23] B. Dhandapani, S. T. Oyama, Appl. Catal. B, 1997, 11: 129–166. DOI:10.1016/S0926-3373(96)00044-6
[24] H. Chen, Y. Wang, Y. K. Lv, RSC Adv., 2016, 6: 54032–54040. DOI:10.1039/C6RA10103H
[25] S. H. Liang, F. Teng, G. Bulgan, R. L. Zong, Y. F. Zhu, J. Phys. Chem. C, 2008, 112: 5307–5315. DOI:10.1021/jp0774995
[26] E. Saputra, S. Muhammad, H. Q. Sun, H. M. Ang, M. Q. Tade, S. B. Wang, Environ. Sci. Technol., 2013, 47: 5882–5887. DOI:10.1021/es400878c
[27] J. H. Zhang, Y. B. Li, L. Wang, C. B. Zhang, H. He, Catal. Sci. Technol., 2015, 5: 2305–2313. DOI:10.1039/C4CY01461H
[28] X. C. Duan, J. Q. Yang, H. Y. Gao, J. M. Ma, L. F. Jiao, W. J. Zheng, CrystEngComm, 2012, 14: 4196–4204. DOI:10.1039/c2ce06587h
[29] G. Cheng, L. Yu, B. Lan, M. Sun, T. Lin, Z. W. Fu, X. H. Su, M. Q. Qiu, C. H. Guo, B. Xu, Mater. Res. Bull., 2016, 75: 17–24. DOI:10.1016/j.materresbull.2015.11.017
[30] L. Benhaddad, C. Bazin, L. Makhloufi, B. Messaoudi, F. Pillier, K. Rahmouni, H. Takenouti, J. Solid State Electrochem., 2014, 18: 2111–2121. DOI:10.1007/s10008-014-2459-2
[31] A. Rousseau, A. Dantier, L. Gatilova, Y. Ionikh, J. Röpcke, Y. Tolmachev, Plasma Sources Sci. Technol., 2005, 14: 70–75. DOI:10.1088/0963-0252/14/1/009
[32] Z. Bo, J. H. Yan, X. D. Li, Y. Chi, K. Cen, J. Hazard. Mater., 2009, 166: 1210–1216. DOI:10.1016/j.jhazmat.2008.12.030
[33] Y. Z. Li, Z. Y. Fan, J. W. Shi, Z. Y. Liu, W. F. Shangguan, Chem. Eng. J., 2014, 241: 251–258. DOI:10.1016/j.cej.2013.12.036
[34] Y. Z. Li, Z. Y. Fan, J. W. Shi, Z. Y. Liu, J. W. Zhou, W. F. Shangguan, Plasma Chem. Plasma Process., 2014, 34: 801–810. DOI:10.1007/s11090-014-9535-3
[35] S. Devaraj, N. Munichandraiah, J. Phys. Chem. C, 2008, 112: 4406–4417. DOI:10.1021/jp7108785
[36] T. Gao, M. Glerup, F. Krumeich, R. Nesper, H. Fjellvåg, P. Norby, J. Phys. Chem. C, 2008, 112: 13134–13140. DOI:10.1021/jp804924f
[37] M. M. Thackeray, Prog. Solid State Chem., 1997, 25: 1–71. DOI:10.1016/S0079-6786(97)81003-5
[38] C. Julien, M. Massot, S. Rangan, M. Lemal, D. Guyomard, J. Raman Spectrosc, 2002, 33: 223–228. DOI:10.1002/(ISSN)1097-4555
[39] Y. Chabre, J. Pannetier, Prog. Solid State Chem., 1995, 23: 1–130. DOI:10.1016/0079-6786(94)00005-2
[40] X. H. Zhang, X. Y. Liu, B. X. Li, Q. X. Chu, Y. Wang, X. P. Zhao, X. F. Wang, J. Mater. Sci. Mater. Electron., 2013, 24: 2189–2196. DOI:10.1007/s10854-013-1078-5
[41] J. E. Post, D. R. Veblen, Am. Mineral., 1990, 75: 477–489.
[42] T. Gao, H. Fjellvåg, P. Norby, Anal. Chim. Acta, 2009, 648: 235–239. DOI:10.1016/j.aca.2009.06.059
[43] A. K. Sinha, M. Pradhan, T. Pal, J. Phys. Chem. C, 2013, 117: 23976–23986. DOI:10.1021/jp403527p
[44] L. Christel, A. Pierre, D. A. M. R. Abel, Thermochim. Acta, 1997, 306: 51–59. DOI:10.1016/S0040-6031(97)00299-2
[45] S. C. Kim, W. G. Shim, Appl. Catal. B, 2010, 98: 180–185. DOI:10.1016/j.apcatb.2010.05.027
[46] Q. Ye, L. Yan, H. P. Wang, S. Y. Cheng, D. Wang, T. F. Kang, H. X. Dai, Appl. Catal. A, 2012, 431-432: 42–48. DOI:10.1016/j.apcata.2012.04.014
[47] M. C. Biesinger, B. P. Payne, A. P. Grosvenor, L.W. M. Lau, A. R. Gerson, R. S. C. Smart, Appl. Surf. Sci., 2011, 257: 2717–2730. DOI:10.1016/j.apsusc.2010.10.051
[48] V. P. Santos, M. F. R. Pereira, J. J. M. Órfão, J. L. Figueiredo, Appl. Catal. B, 2010, 99: 353–363. DOI:10.1016/j.apcatb.2010.07.007
[49] M. Toupin, T. Brousse, D. Bélanger, Chem. Mater., 2004, 16: 3184–3190. DOI:10.1021/cm049649j
[50] M. Chigane, M. Ishikawa, M. Izaki, J. Electrochem. Soc., 2001, 148: D96–D101. DOI:10.1149/1.1376637
[51] D. Q. Yu, Y. Liu, Z. B. Wu, Catal. Commun., 2010, 11: 788–791. DOI:10.1016/j.catcom.2010.02.016
[52] H. B. Huang, D. Q. Ye, D. Y. Leung, F. D. Feng, X. J. Guan, J. Mol. Catal. A, 2011, 336: 87–93. DOI:10.1016/j.molcata.2011.01.002