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ADVANCED MATERIALS · 2024 · IF 27.4

Synthesis of Heteromorphic Bi2WO6 Films With an Interpenetrate 1D/2D Network Structure for Efficient and Stable Photocatalytic Degradation of VOCs

Yuehui Chen,Liang Zhang,Shuo Chen,Songmei Sun,Hui Cheng,Shouzhu Li,Jianyong Yu,Bin Ding,Jianhua Yan

2D layered Bi 2 WO 6 (BWO) is a widely used attractive photocatalyst for degrading VOCs, but the low visible-light utilization and the easy stacking 2D nanosheets (NSs) limit photocatalysis efficiency and stability. Here, inspired by Eucalyptus, a synergistic strategy of multiscale domain-confinement and electrostatic force action, based on electrospinning is proposed, for fabricating a heteromorphic BWO photocatalyst. It is found that BWO NSs can grow radially in an orderly spaced arrangement along BWO nanofibers (NFs) during sintering, thereby forming 1D/2D BWO junctions like eucalyptus leaves. This interpenetrating 1D/2D network structure not only solves the easy stacking problem of BWO NSs but also selectively exposes the {010} crystal planes that exhibit efficient hole oxidation. In addition, this peculiar structure enriches electrons at the 1D/2D interface to avoid carrier recombination, thus improving the photocatalytic activity. The photocatalyst material with a reduced bandgap width from 2.56 to 2.49 eV can rapidly degrade 100% of acetaldehyde under visible light without using sacrificial agents and photosensitizers and shows superior stability for eight cycles without any decay. This study provides a feasible method to synthesize an efficient and stable BWO photocatalyst.

研究领域: 材料科学 · 环境科学
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JOURNAL OF THE INDIAN CHEMICAL SOCIETY · 2025 · IF 3.4

Enhanced in-situ remediation of VOCs-contaminated soil using alkaline activated persulfate with co-solvent assistance for improved removal efficiency

Tingting Lv,Ruihai Li,Hong Wang,Chengliang Yang,Xinrui Chen,Ding Li,Wei Zhao,Cunhui Kou,Lixin Wang,Xiuxiu Huang,Jianxin Li

The development of efficient and sustainable remediation strategies is critical for treating volatile organic compound (VOCs)-contaminated soil. This study investigated the removal of methylbenzene (MB) and ethylbenzene (EB) from contaminated soil through co-solvent-assisted alkaline activation of persulfate (PS) system, The effect of the co-solvent in enhancing the desorption and solubilization of MB and EB was also evaluated. Under optimal conditions (C PS = 382 mmol L –1 , pH 12, 40% (v/v) acetonitrile (ACN) as co-solvent), the removal rates of MB and EB reached 41.5% and 50.9% on the 1 st day, significantly higher than those without ACN (11.4% and 16.2%, respectively). Moreover, the removal rates further increased to 91.7% for MB and 94.5% for EB on the 21 st day. The higher degradation rate of EB was attributed to the relatively weak benzylic C–C bond (76.4 kcal mol –1 ) and C–H bonds (85.4 kcal mol –1 ) at the ethyl site. Electron spin resonance (ESR) and quenching experiments confirmed that •OH and were the dominant reactive oxygen species, contributing 52.0% and 35.2% to MB degradation, respectively. The degradation of MB and EB proceeded via hydrogen abstraction, hydroxylation, electron transfer, and dealkylation, culminating in complete mineralization. Toxicity assessments using T.E.S.T. and bioluminescent bacteria assays indicated a significant reduction in ecological risk, with bioluminescence inhibition for MB and EB decreasing from 70.7% (very toxic) and 98.3% (very toxic) to 8.2% (low toxicity) and 5.6% (low toxicity), respectively. In summary, this study presents a promising strategy for the remediation of VOCs-contaminated soils.

CAS / MDL: 3317-61-1
研究领域: 环境科学 · 土壤修复 · 环境污染治理 · 高级氧化技术 · 环境化学
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APPLIED CLAY SCIENCE · 2024 · IF 5.3

The in–situ growth of molecular sieve from palygorskite leads to composite materials with high hydrophobicity and adsorption of VOCs

Qiyi Lu,Bingying Gao,Xiazhang Li,Feng Xiong,Chenxi Zhuang,Chao Yao

Significant advances have been made in the treatment of volatile organic compounds (VOCs), but effective adsorption in humid environments remains a critical challenge. A trade–off typically exists between improving hydrophobicity and maintaining adsorption capacity. In this work, we present an innovative approach to enhance hydrophobicity without compromising adsorption performance. Palygorskite (Pal) was coated with a molecular sieve (type: MCM–41) via an in–situ growth method, and the resulting composite (Pal/M) was further modified with 3–aminopropyl triethoxysilane (APTES) to prepare NH 2 –Pal/M through post–synthesis modification. By increasing the silicon content, reducing hydroxyl groups, and introducing amine groups, the hydrophobicity of the material was significantly enhanced while preserving its adsorption properties. NH 2 –Pal/M exhibited superior adsorption capacity compared to pure Pal and MCM–41, achieving a maximum adsorption capacity of 291 mg·g −1 for formaldehyde and 322 mg·g −1 for acetaldehyde in static adsorption tests. In dynamic experiments at 0 % humidity, NH 2 –Pal/M achieved breakthrough times of 67 min (breakthrough adsorption capacity: 3.946 mg·g −1 ) for formaldehyde and 49 min (8.420 mg·g −1 ) for acetaldehyde. Even at 80 % humidity, it retained breakthrough times of 24 min (1.399 mg·g −1 ) for formaldehyde and 18 min (3.122 mg·g −1 ) for acetaldehyde, demonstrating its hydrophobic nature and effective performance in humid conditions. This study highlights a cost–effective approach to synthesizing adsorbent materials from natural porous minerals, providing a practical solution for VOCs treatment in water vapor–rich environments such as industrial emissions.

CAS / MDL: 919-30-2 57-09-0
研究领域: 材料科学 · 环境科学
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FOOD CHEMISTRY · 2024 · IF 8.5

The characteristic VOCs of different parts of Artocarpus heterophyllus fruit based on HS-SPME-GC–MS and PTR-TOF-MS

Yueping Wang,Yequn Huang,Lianping Song,Hong Wang,Li Wan,Jinqian Pang,Wenjuan Liang

Insight investigation on both edible pulps and inedible parts involving inflorescence axis and shreds of Artocarpus heterophyllus Lam were carried out, a total of 98 VOCs and 201 masses were identified by the combination of HS-SPME-GC–MS and PTR-TOF-MS. Among them, according to the consistency of OAV and results of VIP > 1, p  < 0.05, compounds methyl isovalerate ( A2 ), 3-methylbutyl acetate ( A5 ) and octanoic acid, ethyl ester ( A21 ) were recognized as aroma markers to distinguish the pulps, shreds and inflorescence axis. Meanwhile, the inflorescence axis (IC 50 : 1.82 mg/mL) and shreds (IC 50 : 16.74 mg/mL) exhibited more excellent antioxidant potency than pulps (IC 50 : 17.43 mg/mL) in vitro . These findings validated the feasibility of coupling HS-SPME-GC–MS and PTR-TOF-MS for rapid detection of characteristic VOCs of this plant, and offered new prospect of fragrance utilization and waste management of the edible and inedible parts of A. heterophyllus fruit.

研究领域: 植物科学 · 分析化学 · 食品科学
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CHEMICAL ENGINEERING JOURNAL · 2024 · IF 13.3

Facile engineering of metal–organic framework derived SnO2@NiO core–shell nanocomposites based gas sensor toward superior VOCs sensing performance

Hui Xu,Haoran Zhong,Jinwu Hu,Xianjun Rong,Wenhui Zhang,Yinsheng Wang,Shengjuan Li,Guisheng Li,Ding Wang

Aiming to achieve high-sensitivity volatile organic compounds (VOCs), it is of great significance to continuously enhance the sensing performance of metal oxide based sensors. Herein, novel NiO nanoplates-decorated on SnO 2 nanofibers 1D core–shell structures derived from metal-organic frameworks (MOFs) are fabricated by the facial solvothermal method and heat treatment for VOCs gas sensors. The morphology and composition of 1D core shell SnO 2 @NiO are regulated by solvothermal time in the range of 0 ∼ 24 h. Based on the unique structure and composition of SnO 2 @NiO, SnO 2 @NiO with 4 h solvothermal time (denoted as SnO 2 @NiO-4) exhibits excellent selectivity, high response (R a /R g  = 25.6) and low detection limit as well as good response linearity between response and concentration of xylene. Especially, the obtained SnO 2 @NiO-8 and SnO 2 @NiO-16 show the high sensitivity to acetone (R a /R g  = 28.7) and triethylamine (R a /R g  = 13.7), respectively. Structural characterizations such as SEM, TEM, and Mott-Schottky results demonstrate the core–shell structure with p-n heterojunction. In-depth investigations on reaction mechanism reveal XPS, photoluminescence (PL), and ESR testing reveal the intrinsic defects such of oxygen vacancy and Ni 3+ active sites. And in situ FTIR, online mass spectroscopy, as well as UV/UPS analysis further discover the evolution of intermediates and products during the surface catalysis reaction. These results demonstrate that the remarkable sensing performance of SnO 2 @NiO-8 can be attributed to several factors, including abundant oxygen vacancy, formation of p-n heterostructure and efficient Ni 3+ /Ni 2+ catalyzing, which beneficial for increased active sites and enhanced electron transport. This synthetic strategy provides an effective method for the facile engineering of high-performances metal oxide-based sensors towards practical health assessment.

CAS / MDL: 13478-00-7 10025-69-1
研究领域: 材料科学 · 化学工程 · 传感器技术
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ACS Sensors · 2024 · IF 8.2

Kinetic Modeling in Temperature-Modulated Semiconductor Gas Sensor Utilizing Eley–Rideal Mechanism and Its Application in Discriminative Detection of VOCs

Wei Zhang,Zhenyu Yuan,Hongmin Zhu,Shouwen Zhang,Fanli Meng

This study presents a comprehensive kinetic investigation for describing the dynamic sensing process of semiconductor metal oxide (SMO)-based gas sensors, with a focus on the Eley–Rideal mechanism as a valid pathway. The modeling elucidates the direct interactions between volatile organic compounds (VOCs) and adsorbed oxygen on the material surface, providing insights into the temperature-dependent response characteristics of the sensor and addressing selectivity toward different VOCs fundamentally. By incorporating the effects of thermal modulation, the kinetic model was validated through theoretical fitting of experimental data obtained from a fabricated SnO2 nanoparticle gas sensor exposed to ethanol, n-propanol, toluene, and butanone at systematically varying operating temperatures. The results demonstrated that the model accurately captures response transient values, enabling a general framework for qualitatively discriminating specific gases based on their unique reaction kinetics. Furthermore, a machine learning procedure containing the above model and power laws of quantitative concentrations after identifying compounds was developed for the prediction of target VOCs. The qualitative accuracy was determined to be 99.4%, while quantifying with the mean absolute errors of 5.0, 7.5, 4.0, and 8.9 within the range of 25–200 ppm, respectively. The precise and straightforward strategy facilitates the response modeling of SMO-based gas sensors, offering a valuable platform for the designing model-driven algorithms applicable in gas analysis and monitoring.

CAS / MDL: 10025-69-1
研究领域: 材料科学 · 化学工程 · 机器学习应用
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SENSORS AND ACTUATORS B-CHEMICAL · 2024 · IF 8

Discrimination of VOCs with e-nose consisting of a single MEMS sensor using lightweight deep learning model based on SqueezeNet

Zengyi Tang,Yamin Liu,Mianyi Xiang,Daxiang Cui,Qichao Li

The detection of volatile organic compounds (VOCs) has numerous applications in environmental monitoring and biomedicine. Metal oxide semiconductor (MOS) gas sensors are widely used in gas detection due to their simple structure, low fabrication cost, and fast response speed. However, MOS gas sensors have broad-spectrum responsiveness to VOCs, making selectivity a challenge. The most commonly used method to obtain selectivity is the E-nose system consisting of multiple sensors. However, the size of E-noses has increased due to the number of sensors with high power consumption and complicated signal processing. In recent years, deep learning has flourished, allowing for accurate discrimination of VOCs and concentration prediction using E-nose consisting of a single sensor. This method significantly reduces power consumption and facilitates portable applications. In this work, we synthesize SnO 2 -ZnO composite oxide and fabricate a E-nose consisting of a single MEMS gas sensor. The response performance of the E-nose to VOCs is stable with a high output signal-noise ratio (SNR). We design a lightweight deep learning model based on SqueezeNet and train it using transfer learning. Linear regression is used to predict the concentration of VOCs. Our work achieves accurate identification and low-error concentration prediction of VOCs, which is valuable for subsequent portable VOC detection systems.

研究领域: 环境科学 · 生物医学工程
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SENSORS · 2018 ·Vol. 18 ·期 9 ·3113 · IF 2.475

A Room Temperature VOCs Gas Sensor Based on a Layer by Layer Multi-Walled Carbon Nanotubes/Poly-ethylene Glycol Composite

Zitao Liu,Tuoyu Yang,Ying Dong,Xiaohao Wang

Sensitive detection of volatile organic compounds (VOCs) is significant for environmental monitoring and medical applications. In this work, multi-walled carbon nanotubes (MWCNTs) and polyethylene glycol (PEG) that have good adsorption for VOCs, were sprayed layer by layer on an interdigitated electrode (IDE) to build a sensitive VOCs gas sensor. The relative resistance change (△R/R) when the sensor was exposed to VOCs was measured. The sensor showed high sensitivity to acetone, ethanol, isopropanol and isoprene with fast response (110 ± 5 s) and recovery (152 ± 5 s) at room temperature, and the lower detection limit (LDL) of the sensor reached 9 ppm. With the micro-fabricated IDE structure, the sensor can be easily built into an electric nose for VOC recognition and measurement.

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CHEMOSPHERE · 2021 · IF 7.086

A comprehensive mathematical model for analyzing synergistic effect of oxidation and mass transfer enhancement during UV-Fenton removal of VOCs

Haiying Chen,Jiemin Liu,Chuandong Wu,Tongwang Zhang

Volatile organic compounds (VOCs) emissions are regarded as a worth concerned threat to human health. The UV-Fenton coupled with mass transfer enhanced process shows promising effects on VOCs treatment. However, the detailed mechanism and mathematical model for this method have not been established. This work focuses on the hypothesis and validation of a mathematical model for UV-Fenton removal of VOCs using activated carbon particles to enhance mass transfer efficiency. Based on the mathematical model of reaction-diffusion-mass transfer, a mathematical model is established by using a series of important parameters such as u b , D g , D l , K ial , K l a and hydroxyl radical lifetime. The proposed model in this study introduces the key parameter of synergistic factor, which greatly improves the consistency between the model predicted results and the experimental data (the determination coefficient R 2 distribution range changed from 0.71–0.98 to 0.95–0.98). Moreover, it can also explain reasonably the steady trend of outlet VOC concentration after 30 min of reaction. The mathematical model confirms that the addition of activated carbon during the UV-Fenton reaction ensures mass transfer efficiency and considerably improves (growth from 2% to 54%) the VOCs removal efficiency due to the synergy between UV-Fenton oxidation and mass transfer enhancement. Meanwhile, it provides insight into fruitful utilization of the oxidation capacity in the oxidation reaction,and achieves the purpose of predicting the efficiency of VOC removal in the Fenton process.

CAS / MDL: 636-94-2
研究领域: 环境科学 · 化学工程
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APPLIED CATALYSIS B-ENVIRONMENTAL · 2022 · IF 24.319

Assembling core-shell SiO2@NiaCobOx nanotube decorated by hierarchical NiCo-Phyllisilicate ultrathin nanosheets for highly efficient catalytic combustion of VOCs

Fang Dong,Weigao Han,Weiliang Han,Zhicheng Tang

Configuring Ni-based catalyst with superior activity and stability is one efficient strategy in achieving its application for VOCs catalytic combustion. Here, we report the rational design and synthesis of core-shell SiO 2 @Ni a Co b O x nanotube derived from three-layered C@SiO 2 @NiCo-Phyllosilicate nanofiber. Through a typical hydrothermal strategy, the hierarchical NiCo-Phyllosilicate ultrathin nanosheets are fitly grown on the surface of order mesoporous SiO 2 nanotube, which is obtained through thermal treatment of core-shell C@SiO 2 nanofiber in air. Whereafter, a core-shell SiO 2 @Ni 2 Co 1 O x nanotube is obtained to achieve the highly efficient conversion of VOCs in the presence of 5vol%H 2 O. We observe this special structural design can own superior redox ability, provide active oxygen species (O ads ), and generate the abundant acid sites. Ideally, the low-temperature catalytic combustion of toluene over the core-shell SiO 2 @Ni 2 Co 1 O x nanotube is realized through the combined action of Marse-van Krevelen (MvK) and Langmuir-Hinshelwood (L-H) mechanism. Simultaneously, a good thermal stability and water resistance is also achieved, which benefits from the guided growth of order mesoporous SiO 2 nanotube, the presence of strong interactions (Ni-O-Si band) and the contribution of surface -OH groups in the special “fibrous” structure of phyllosilicate.

研究领域: 材料科学 · 环境科学
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APPLIED CATALYSIS A-GENERAL · 2023 · IF 5.5

Construction of 2D/2D g-C3N4/Bi2WO6 heterostructure nanosheets for efficient visible-light-driven photocatalytic elimination of sulfur-containing VOCs

Yajing Huang,Dingren Ma,Jing Cao,Zhuoyun Tang,Lingling Hu,Yexing Zhang,Huinan Zhao,Dehua Xia,Chun He,Po Keung Wong

A simple hydrothermal method was applied to synthesize a 2D/2D g-C 3 N 4 /Bi 2 WO 6 (CN/BWO) composite photocatalyst for the photocatalytic removal of gaseous methyl mercaptan (CH 3 SH). The layered structure of CN/BWO and the C-O-Bi bonds at the interlayer interface were confirmed by thorough characterization techniques. The C-O-Bi bonds were demonstrated to reduce interlayer charge transfer resistance and inhibit photogenerated electron/hole pairs recombination. Therefore, 0.1-CN/BWO exhibited the highest photocatalytic efficiency for CH 3 SH removal, which was 1.4 times higher than 0.1-CN/BWONF with nanoflower structure, and 5.1 and 1.9 times higher than that of pure g-C 3 N 4 and Bi 2 WO 6 . The photocatalytic oxidation pathway and mechanism for CH 3 SH removal were revealed based on reactive species trapping, electron spin resonance (ESR), and in situ diffuse reflectance infrared Fourier transform spectroscopy (in situ DRIFTS) tests. This work provides new insights into the design of photocatalysts with high photocatalytic performance and stability for the removal of volatile organic compounds (VOCs).

研究领域: 材料科学 · 环境科学
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MICROCHEMICAL JOURNAL · 2025 · IF 5.1

Design and characterization of a compact photoionization toroidal ion trap mass spectrometer with MCP detection

Weijie Luo,Mutong Wu,Xuan Zhao,Zhongshan Zhang,Haifang Yang,Hua Cai,Quan Yu

A miniature photoionization toroidal ion trap (TorIT) mass spectrometer prototype was developed for the analysis of volatile organic compounds (VOCs) in ambient air. The TorIT analyzer features a simplified configuration comprising two planar and two ring electrodes, enabling efficient ion trapping and mass analysis in a compact structure. A microchannel plate (MCP) detector was strategically used to capture ions radially ejected from the trap, with its geometry well-matched to the TorIT design. These two modules were integrated into a compact assembly with an overall length of 50 mm. The entire system exhibits excellent pressure tolerance, allowing for stable operation at elevated pressures up to 0.11 Pa. To address background noise from MCP operation under high pressure and UV scattering, we implemented a discontinuous ionization strategy coupled with optimized signal filtering, significantly improving the quality of the ion peaks. During direct atmospheric sampling through a 75 μm capillary, the PI-TorIT instrument achieves sensitive VOC detection with a demonstrated limit of detection of 483 ppbv for anisole. The successful integration of the TorIT analyzer and MCP detector may present a viable approach for developing compact mass spectrometers.

研究领域: 分析化学 · 质谱分析 · 环境监测 · 仪器与探测器开发
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