ANALYTICA CHIMICA ACTA
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2024
·
IF 5.7
Siyuan Jing,Yanting Wang,Jiaying Zheng,Xin Li,Yinjuan Chen,Minghuo Wu,Weiping Liu,Thomas C. Wanger
Particle size is an important indicator to evaluate the environmental risk and biotoxicity of nanoplastic (NP, particle diameter <1000 nm). The methods available to determine size classes of NP in environmental samples are few and are rare to achieve efficient separation and recycling of NP with close particle sizes. Here, we show that rate-zonal centrifugation (RZC) can quickly and efficiently collect NP of different sizes based on their sedimentation coefficients. When combined with cloud-point extraction (CPE) and pyrolysis−gas chromatography−mass spectrometry (Py-GC-MS), our method can quantify three NP particle-size classes separately (including 100 nm, 300 nm, and 600 nm) in aqueous samples with high recovery (81.4 %–89.4 %), limits of detections (LODs, 33.5–53.4 μg/L), and limits of quantifications (LOQs, 110.6–167.2 μg/L). Compared with the conventional sample pretreatment process, our method can effectively extract and determine the NP with different sizes. Our approach is highly scalable and can be effectively applied to NP in a wide range of aquatic environments . Meanwhile, our approach is highly scalable to incorporate diverse assays to study the environmental behaviours and ecological risks of NP.
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高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2024
·
IF 13.3
Yongchang Guo,Mingzhi Yang,Gary Huang,Yangong Zheng
Machine learning, a new research paradigm, is promising for device design, material discovery, and theoretical exploration, overcoming the drawbacks of experimental approaches. In this study, we used machine learning to explore the gas-sensing reactions of metal oxides. The training data were experimental results. Three types of features — metal oxide and gas molecule properties and operating conditions — were extracted as inputs for the machine learning algorithms. The genetic algorithm-adjusted artificial neural network achieved the best performance, and the neural network test was performed using two new experimental datasets. Further, Shapley Additive exPlanations were employed to understand the findings and explore key descriptors for gas sensing. The feature importance was ranked, and the first six features were selected as key descriptors for gas sensing using metal oxides. Furthermore, theoretical investigations were conducted, and the correlations between features and outcomes were analyzed. We found that the active site for gas sensing on pristine metal oxides comprises ionic oxygen loosely bonded to the metal sites. This study provides an example of the use of machine learning for material discovery. We expect that this study will encourage more studies on machine learning for gas sensing.
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APPLIED SURFACE SCIENCE
·
2024
·
IF 6.3
Chen Yang,Hongyan Zhang,Haiyang Zhang
A high-performance ammonia (NH 3 ) gas sensor based on Au nanoparticles (AuNPs) modified CdS (Au/CdS) was synthesized by hydrothermal method, and the sensing mechanism of Au/CdS was studied by first-principles based on density functional theory (DFT). Experimental results show that the addition of AuNPs can effectively enhance CdS-based NH 3 gas sensor performance. Au/CdS sensor exhibits high response (16580), short response/recovery time (2.25 s/1.25 s), and low limit detection (500 ppb), good repeatability and stability. Because AuNPs can effectively increase the generation of sulfur vacancies on the surface of CdS, increasing the amount of chemisorbed oxygen and providing more active sites for NH 3 . Furthermore, the good conductivity of AuNPs promotes the separation and transport of carriers on CdS surface, thereby improving the gas sensing performance. DFT calculations indicate that the ionization energy of Au is less than that of Cd, which causes some Cd atoms to lose their coordination with S atoms and increase sulfur vacancies on the surface of CdS. In Au/CdS sensors, sulfur vacancies accelerate the cleavage of NH 3 , and resulting electrons participate in charge transport, thereby enhancing the adsorption energy. This study introduces a new method for fabricating high performance NH 3 sensor based on CdS rich in sulfur vacancies.
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JOURNAL OF THE ENERGY INSTITUTE
·
2024
·
IF 5.6
Weijuan Lan,Yunlong Zhou,Jiaxin Liu,Yingxian Wang,Xin Jin,Dongxue Yin,Jiangtao Ji,Gaixiu Yang,Huan Zhang
Biomass carbon materials have attracted attention in various fields due to their excellent properties. In this study, CH 4 derived from biomass pyrolysis was utilized as a carbon source gas to synthesize carbon materials by chemical vapor deposition (CVD) in a two-stage reactor with purification system, with Fe 3+ -loaded nickel foam as the substrate under an argon atmosphere, using a self-designed experimental platform. The reaction process was optimized by examining the effects of the catalyst type, reaction temperature, reaction time, and gas flow rate on the structure and morphology of the carbon materials. The optimal preparation condition was to use FeCl 3 ethanol solution as catalyst, with CH 4 flow rate of 50 ml/min at 1000 °C for 25 min. The high quality carbon materials with uniform diameters (250–500 nm) were obtained on nickel foam substrate. The carbon materials obtained under optimal conditions were characterized and analyzed to investigate their excellent properties. Surface morphology and structure of as-formed carbon materials were characterized by SEM. The analysis of the XRD spectra and the Raman spectroscopy showed that the graphite diffraction peak (002) at 26.6°, the calculated intensity ratios for I D / I G and I 2D / I G were 0.257 and 0.545, respectively, indicated high degree of graphitization and purity of the carbon materials. Furthermore, the growth mechanism of carbon materials on the nickel foam substrate was discussed.
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ENERGY & FUELS
·
2024
·
IF 5.2
Yue Gu,Hongjun Tu,Ming Zhou
In this paper, a biobased ternary composite microgel (CS-DP-AA) was designed and prepared, which was based on chitosan and had a reversible response to CO2. The synthesis of CS-DP-AA microgel was proved by infrared spectroscopy, chromatography–mass spectrometry, X-ray photoelectron spectroscopy, and Raman spectroscopy. The structure and properties of CS-DP-AA microgel before and after CO2 response were characterized by scanning electron microscope, transmission electron microscope, ultraviolet visible spectrophotometer, laser particle size analyzer, zeta potentiometer, and other instruments, and the CO2 response mechanism was explored. The results show that CS-DP-AA microgel had great CO2 response performance and stability, and the UV transmittance could still reach 90.01% (relative) at 268.98 h after CO2 response. Subsequently, the rheological properties of CS-DP-AA microgel were evaluated by a rotary rheometer, which shows that CS-DP-AA microgel after the CO2 response had obvious viscoelasticity. Although shear thinning appeared with the increase in shear rate, the CS-DP-AA microgel after the CO2 response still had good viscosity under high temperature, high pressure, and high shear rate, which proves that it had great rheological properties. On the other hand, the ability of CS-DP-AA microgel to plug gas channeling in reservoirs was evaluated by a dual-core parallel-core physical simulation experimental device. The results show that the CS-DP-AA microgel injected into the core can indeed react with the CO2 adsorbed in the pores of the porous core and plug the larger pores. After the response, the resistance coefficient of the system increased significantly, reaching 80 times that of the previous value. It has been shown that CS-DP-AA microgel can indeed block gas channeling in oil reservoirs, expand the sweep efficiency and swept volume of the CO2 gas drive, contribute to the recovery rate of oil reservoirs, and ensure the smooth development of oil reservoirs, which has a good application prospect in plugging gas channeling in oil reservoirs.
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BIORESOURCE TECHNOLOGY
·
2024
·
IF 9.7
Kai Xin,Jun Cheng,Ruhan Guo,Lei Qian,Yulun Wu,Weijuan Yang
To effectively improve biomass growth and flue-gas CO 2 fixation of microalgae, acid-tolerant Euglena gracilis was modified with cobalt-60 γ-ray irradiation and polyethylene glycol (PEG) adaptive screening to obtain the mutant strain M800. The biomass dry weight and maximum CO 2 fixation rate of M800 were both 1.47 times higher than that of wild strain, which was attributed to a substantial increase in key carbon fixation enzyme RuBisCO activity and photosynthetic pigment content. The high charge separation quantum efficiency in PSII reaction center, efficient light utilization and energy regulation that favors light conversion, were the underlying drivers of efficient photosynthetic carbon fixation in M800. M800 had stronger antioxidant capacity in sufficient high-carbon environment, alleviating lipid peroxidation damage. After adding 1 mM PEG, biomass dry weight of M800 reached 2.31 g/L, which was 79.1 % higher than that of wild strain. Cell proliferation of M800 was promoted, the apoptosis and necrosis rates decreased.
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高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2024
·
IF 13.3
Zeyu Duan,Jianping Sheng,Qijun Tang,Xinru Chen,Ying Jia,Fan Dong,Haiqiang Wang,Zhongbiao Wu
In this study, we report efficient gas–solid phase photocatalytic reaction by employing controlled periodic illumination, intense pulsed light (IPL) technique, at extremely low duty cycles. Compared with traditional continuous illumination, IPL exhibits superior photocatalytic performance, excellent economic advantages and extremely low duty cycles. Up to now, it is the first time that IPL has been applied in gas–solid phase photocatalytic reactions coupled with multiple photocatalysts. It is demonstrated by experiments that the pulsed xenon lamps can release a large number of photons in short pulsed time, leading to a much stronger photocurrent response than that triggered by a conventional xenon lamp. Taking photocatalytic benzenes degradation as the target reaction, in-situ EPR confirmed that the IPL system can generate a large number of reactive radicals, and thus can degrade benzenes efficiently even with almost negligible illumination period.
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SOLID STATE IONICS
·
2024
·
IF 3
Yuehong Yin,Yukun Liu,Youchao Wang,Yujie Cheng,Yongchao Li,Guohua Cao,Haitao Zong,Ming Li,Lingling Yan,Baoqing Zhang
The exploration of triethylamine (TEA) gas sensor with low cost, high response and low detection limit is still an urgent challenge. In this work, carbon dots (CDs) activated spherical Tin oxide (SnO 2 ) nanocomposites were synthesized by a simple and friendly one-pot hydrothermal strategy, and CDs with rich functional groups are in-situ introduced into SnO 2 . SnO 2 /CDs composites were characterized by X-ray diffraction, transmission electron microscopy and X-ray photoelectron spectroscopy, etc. The gas sensing properties of SnO 2 /CDs and SnO 2 for triethylamine (TEA) were systematically investigated. The sensor based on SnO 2 /CDs exhibits a highly sensitive response, good selectivity, repeatability and long stability. It shows the response ( R a / R g = 55) to 100 ppm TEA is approximately 1.8 times that of SnO 2 sensor. More attractively, the detection limit of the SnO 2 /CDs composite to TEA is 90 ppb, which is 6.7 times that of SnO 2 . The significantly improved TEA sensing performance of SnO 2 /CDs sensing material is mainly attributed to the formation of heterojunction and the increased active sites due to the introduction of CDs.
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Journal of the American Chemical Society
·
2025
·
IF 15.6
Deyun Sun,Shangqing Chen,Miao He,Hongxue Xu,Yongxiang Sun,Lijuan Shi,Hongbo Zeng,Qun Yi
Efficient extraction of high-purity CO2 from humid flue gas via adsorptive separation offers a promising and sustainable solution for carbon reduction and downstream applications. However, the coadsorption of H2O vapor and N2 from humid flue gas remains a persistent challenge that limits separation efficiency. To overcome this issue, this work introduces a novel concept of ionic hydrophobic gates on porous adsorbents, which enables one-step separation of high-purity CO2 directly from humid flue gas. By assembling hydrophobic ionic liquids and fluorine-rich terephthalaldehyde onto the surface of a metal–organic framework (MOF), this design establishes H2O barriers and CO2 channels on the outer shell while maintaining pore integrity in the core. The resulting core–shell material demonstrates exceptional CO2 adsorption capacity and an extraordinary CO2/N2 selectivity of 1780 (15/85, v/v), surpassing conventional adsorbents. Notably, dry CO2 with 99.999% purity is successfully extracted from humid flue gas (relative humidity, RH = 100%) in a single breakthrough experiment. In situ diffuse reflectance Fourier transform infrared spectroscopy (in situ DRIFTS) and density functional theory calculations reveal that fluorine-rich hydrophobic sites act as effective H2O barriers, while ionic liquid segments facilitate the transport of CO2 through hydrogen bonding and electrostatic interactions. Owing to its excellent scalability and broad compatibility with diverse MOF platforms, this ionic hydrophobic gating strategy offers a robust and versatile approach for constructing advanced gas separation materials, holding great promise for industrial applications in carbon capture, clean energy, and sustainable chemical processes.
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CHEMICAL ENGINEERING JOURNAL
·
2025
·
IF 13.2
Beikai Zhang,Lanbin Wang,Chaocheng Zeng,Duanmei Song,Jiadong Yu,Jinhui Li
Harvesting functional materials from spent lithium-ion batteries (LIBs) presents an opportunity to enhance the economic value of products derived via recycling while mitigating the environmental footprint associated with battery waste management. This study reports an innovative high-temperature shock (HTS)-driven gas–solid (G–S) synthesis strategy that leverages the lithium (Li) from waste LiCoO 2 (LCO) powder to efficiently prepare Li 4 SiO 4 sorbent. An initial HTS step at approximately 1000 °C induces rapid, in situ vaporization of Li 2 O from the LCO matrix, which subsequently reacts with SiO 2 powder, forming a precursor material while simultaneously reducing the LCO residue to metallic cobalt (purity >96 %). The Li 4 SiO 4 sorbent was successfully synthesized following a transient thermal lithiation treatment at 1200 °C for 20 s. The HTS-induced Li volatilization and G–S synthesis mechanisms were elucidated via advanced characterization and theoretical calculations. The resultant Li 4 SiO 4 sorbent demonstrated commendable CO 2 adsorption performance, maintaining a stable adsorption capacity of 0.193 g/g after undergoing 20 consecutive adsorption–desorption cycles under a 15 vol% CO 2 atmosphere. This study introduces a novel short-process, highly efficient, and sustainable strategy for the upcycling of spent LIBs and illuminates new pathways for the rapid synthesis of functional materials.
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IEEE SENSORS JOURNAL
·
2024
·Vol. 24
·期 5
·6078-6084
·
IF 4.3
Zhitao Duan,Fangrong Hu,Shangjun Lin,Jie Chen,Longhui Zhang,Mingzhu Jiang
Acetone gas can give rise to serious harm to the ecological environment and human health. In addition, acetone gas in the human exhaled breath can be used as an important biomarker for diabetes, lung cancer, lipid peroxidation, and other diseases. Therefore, detection of trace acetone gas is important for environment monitoring and disease diagnosis. Here, a four-split-ring-resonator terahertz (THz) metasurface sensor is proposed to detect trace acetone gas with high sensitivity, and the sample is fabricated using micromachining process. A new metal–organic framework (MOF) material zeolitic imidazolate framework-90 (ZIF-90) is modified on the surface of the sensor to improve its specificity for acetone gas. When the concentration increases from 10 to 100 ppm, the frequency shift of the sensor shows good linearity with the concentration. The minimum measurable concentration is 10 ppm, and the sensitivity is 0.1 GHz/ppm (or 10 ppm/GHz). This work paves a way for developing novel biosensors with high sensitivity and specificity, and it has potential applications in the fields of trace gas detection and disease diagnosis at early stage.
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RSC Advances
·
2024
·Vol. 14
·期 8
·5479-5491
·
IF 3.9
Yaqi Yao,Hongying Zhuo,Jinming Xu,Xiaofeng Yang,Yanqiang Huang
A method for synthesizing carbon spheres with a tunable particle size and internal structure from polyfurfuryl alcohol (PFA) was developed. By tuning the concentration of a structure directing agent (polypropylene glycol, PPG), we found a mechanism to tune the inner architecture of carbon spheres driven by water-solubility. A mixture of PFA and PPG transferred from the “water-in-oil” phase to an “oil-in-water” phase with an increasing content of PPG because of a difference in water-solubility between furfuryl alcohol (FA), PFA, and PPG. As a result, the internal morphology of the carbon sphere evolved from a “cheese-like” to a “pomegranate-like” structure, which was accompanied by an increasing specific surface area and pore volume. Furthermore, the separation of C2H2 and C2H3Cl was tested on the 25%-FACS (furfuryl alcohol-based carbon sphere) sample under different activation treatments with CO2 or CO2–NH3, with the coexisting “cheese-like” and “pomegranate-like” inner structures, owing to its moderate pore volume and mechanical strength. The maximum adsorption capacity of C2H3Cl reached 0.77 mmol g−1, while C2H2 was adsorbed in significantly lower quantities. It is believed that the high polarizability and high dipole moment of the C2H3Cl molecule primarily contribute to the excellent performance of C2H2 and C2H3Cl separation, and the introduction of polar N-containing groups on the carbon skeleton further promotes C2H3Cl adsorption.
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