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Your search keyword '"WANG, Jiao"' showing total 21 results
Start Over Author "WANG, Jiao" Journal science of the total environment
21 results on '"WANG, Jiao"'

8. Risk factors and on-site simulation of environmental transmission of SARS-CoV-2 in the largest wholesale market of Beijing, China

Author

Li, Xia, primary, Wang, Qin, additional, Ding, Pei, additional, Cha, Yu'e, additional, Mao, Yixin, additional, Ding, Cheng, additional, Gu, Wen, additional, Wang, Youbin, additional, Ying, Bo, additional, Zhao, Xiaoning, additional, Pan, Lijun, additional, Li, Yunpu, additional, Chang, Junrui, additional, Meng, Congshen, additional, Zhou, Jun, additional, Tang, Zhigang, additional, Sun, Ruofeng, additional, Deng, Fuchang, additional, Wang, Chong, additional, Li, Li, additional, Wang, Jiao, additional, MacIntyre, C. Raina, additional, Wu, Zunyou, additional, Feng, Zijian, additional, Tang, Song, additional, and Xu, Dongqun, additional

Published
2021
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14. Development, validation, comparison, and implementation of a highly efficient and effective method using magnetic solid-phase extraction with hydrophilic-lipophilic-balanced materials for LC-MS/MS analysis of pesticides in seawater

Author

Liu, Zhenzhen, primary, Qi, Peipei, additional, Wang, Jiao, additional, Wang, Zhiwei, additional, Di, Shanshan, additional, Xu, Hao, additional, Zhao, Huiyu, additional, Wang, Qiang, additional, Wang, Xinquan, additional, and Wang, Xinhong, additional

Published
2020
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16. Development, validation, comparison, and implementation of a highly efficient and effective method using magnetic solid-phase extraction with hydrophilic-lipophilic-balanced materials for LC-MS/MS analysis of pesticides in seawater

Author

Qiang Wang, Shanshan Di, Wang Jiao, Xinhong Wang, Zhenzhen Liu, Zhiwei Wang, Huiyu Zhao, Peipei Qi, Hao Xu, and Xinquan Wang

Subjects
Detection limit, Residue (complex analysis), Environmental Engineering, Chromatography, 010504 meteorology & atmospheric sciences, Pesticide residue, Chemistry, 010501 environmental sciences, Mass spectrometry, 01 natural sciences, Pollution, Liquid chromatography–mass spectrometry, Environmental Chemistry, Magnetic nanoparticles, Seawater, Solid phase extraction, Waste Management and Disposal, 0105 earth and related environmental sciences
Abstract

To achieve multi-pesticides residue analysis in seawater, hydrophilic-lipophilic-balanced magnetic particles were designed and fabricated by swelling polymerization of divinyl benzene (DVB) and N-vinyl pyrrolidone (NVP) on the surface of Fe3O4@SiO2 magnetic particles. The ratio of DVB to NVP was adjusted to achieve a proper balance in hydrophilicity and lipophilicity. The obtained magnetic particles were systematically characterized by TEM, SEM, FT-IR and vibrating sample magnetization. Based on the optimized magnetic nanoparticles, a sensitive magnetic solid-phase extraction method was developed for the simultaneous pre-concentration and determination of 96-pesticide residues from large-volume seawater samples prior to being detected by liquid chromatography-tandem mass spectrometry. Recoveries of pesticides in spiked seawater samples (0.001, 0.01, 0.1, 1.0 μg L−1) ranged from 62% to 112% with RSDs less than 21%. The method limits of detection of 96 pesticides ranged from 0.13 to 0.42 ng L−1, the method limits of quantification of 96 pesticides ranged from 1.0 to 10 ng L−1. The method was successfully applied to pesticide residue analysis in water samples from Jiulong River Estuary of China, demonstrating the prospects of this technique as a potential method for the rapid determination of trace levels of multi-pesticide residues in seawater.

Published
2020

17. Efficient conversion of N-acetyl-D-glucosamine into nitrogen-containing compound 3-acetamido-5-acetylfuran using amino acid ionic liquid as the recyclable catalyst

Author

Kang Wang, Shang Zhen, Jing Lou, Wang Jiao, Zang Hongjun, Huanxin Li, and Jiao Shuolei

Subjects
Environmental Engineering, 010504 meteorology & atmospheric sciences, chemistry.chemical_element, 010501 environmental sciences, Raw material, 01 natural sciences, Pollution, Chloride, Nitrogen, Catalysis, chemistry.chemical_compound, Monomer, chemistry, Yield (chemistry), Ionic liquid, medicine, Environmental Chemistry, Organic chemistry, Boron, Waste Management and Disposal, 0105 earth and related environmental sciences, medicine.drug
Abstract

Chitin is the most widely distributed oceanic biomass resources. Its monomer unit, N-acetyl-D-glucosamine (NAG), contains precious atomic nitrogen and represents a potential feedstock for the manufacture of regenerative organic nitrogen chemicals. Herein, the conversion of NAG to the platform chemical, 3-acetamido-5-acetylfuran (3A5AF), catalyzed by amino acid ionic liquids, was investigated. The reaction, catalyzed by a very small amount of glycine chloride ionic liquid without any additives, could yield 43.22% 3A5AF in 10 min. By adding CaCl2, a higher yield up to 52.61% was obtained. This work demonstrated the conversion of chitin biomass to 3A5AF in higher yield without using a boron-based catalyst for the first time. Moreover, the ionic liquid catalyst exhibited excellent recyclability, and afforded 43.22–36.59% yield over during eight cycles. This research provides new and green procedures to convert shellfish fishery waste into value-added platform chemicals.

Published
2020

21. Rethinking the causes of extreme heavy winter PM 2.5 pollution events in northern China.

Author

Liu X, Chang M, Zhang J, Wang J, Gao H, Gao Y, and Yao X

Subjects
Aerosols analysis, China, Environmental Monitoring, Particulate Matter analysis, Seasons, Air Pollutants analysis, Air Pollution analysis
Abstract

It has been reported that air quality models largely underestimate PM 2.5 concentrations during severe pollution events in China. In this study, the Models-3 Community Multi-scale Air Quality model (CMAQ) was employed to simulate PM 2.5 concentrations in May-June (non-heating period) and in November-December (heating period) of 2013 in northern China, with a particular focus on determining the causes of the underestimation. Modeling results reproduced the mass concentrations of PM 2.5 in approximately 50% of the non-heating and heating periods in Qingdao (referred to as the good periods), while the model performance was unsatisfactory during the remaining periods (the poor periods). In this respect, the overprediction of inorganic salts and the underprediction of organic matter in PM 2.5 canceled each other out and resulted in a good simulation of PM 2.5 concentrations during the good periods, whereas during poor periods, the bias of the planetary boundary layer height, wind direction, precipitation, and other factors caused inconsistencies between the simulated and observed PM 2.5 concentrations. Sensitivity studies showed that the underestimation of primarily emitted particles from local emissions was likely the main cause of PM 2.5 underpredictions during heavy haze days. Furthermore, our results implied that the assumption of the conditions of the gas-aerosol thermodynamic equilibria in the air quality model likely results in an overprediction of secondary PM 2.5 inorganic salts (SO 4 2- + NO 3 - + NH 4 + ) during clear days. In contrast, during heavy pollution or heavy haze days, high concentrations of air pollutants theoretically rapidly leads to gas/particle chemical equilibrium and no overprediction of SO 4 2- , NO 3 - , and NH 4 + concentrations. Nevertheless, the underestimation of primarily emitted particles from local sources during heavy haze days is yet to be explained and needs further investigation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Published
2021
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