Article in Journal of the American Chemical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
17 authors.
Zhongshen ZhangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0000-0002-7710-4305
Wenqing WuNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0009-0009-3958-094X
Gang WangSchool of Materials Design and Engineering, Beijing Institute of Fashion Technology, Beijing 100029, P. R. China.ORCID 0000-0001-8210-7706
Yuan WangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0009-0003-4927-3798
Xinxin WangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0009-0005-8957-7168
Wenpeng LiNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0009-0008-7649-7996
Zeyu ZhaoNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0009-0007-7031-7096
Xiaoxiao DuanNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0000-0001-9405-3303
Zhihao ZhangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0000-0001-6245-3898
Chunli WangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0009-0000-5650-4468
Ganggang LiNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0000-0003-2657-3694
Guoxia JiangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0000-0002-4861-9262
Fenglian ZhangNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0000-0003-3432-644X
Jie ChengNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0000-0003-3128-4459
Jinjun LiSchool of Resource and Environmental Sciences, Hubei Key Laboratory of Biomass Resource Chemistry and Environmental Biotechnology, Wuhan University, Wuhan 430079, P. R. China.ORCID 0000-0003-4008-9022
Chi HeDepartment of Environmental Science and Engineering, State Key Laboratory of Multiphase Flow in Power Engineering, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, P. R. China.ORCID 0000-0001-6403-1277
Zhengping HaoNational Engineering Laboratory for VOCs Pollution Control Material and Technology, Research Center for Environmental Material and Pollution Control Technology, University of Chinese Academy of Sciences, Beijing 101408, P. R. China.ORCID 0000-0003-0553-3626
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Adsorption capacity prediction, which needs to be based on the precise structure-capacity relationship, is important for better adsorbent design. However, the precise adsorption contribution coefficients of pores of different sizes for volatile organic compound (VOC) adsorption remain unclear. Herein, a control variable method is employed as a generative model to realize the numerization of the precise structure-capacity relationship. For the first time, a concise equation is proposed that can predict the adsorption capacities/isotherms of unknown adsorbents through their pore structure parameters. Interestingly, practical VOC adsorption amounts aligned with predicted values obtained by simultaneously considering pore volume (which undergoes volume-filling adsorption) and surface area (which undergoes surface-covering adsorption) as input variables. Derivation of the equation is based on classical adsorption theories and mathematical expression of the precise structure-capacity relationship obtained from actual experimental results. Each parameter in the equation has a specific physical meaning. This unprecedented VOC adsorption capacity/isotherm prediction method provides in-depth insight for accurate quantification of VOC adsorption, with great potential for gas adsorption prediction and guidance in the development of adsorption materials and technologies.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Mathematical Expression and Prediction of VOCs Adsorption Capacity and Isotherm. · full record | OpenQuestion