Evidence map›Paper›PMID 34426186›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2021

Characteristics and sources of amine-containing particles in the urban atmosphere of Liaocheng, a seriously polluted city in North China during the COVID-19 outbreak.

Zheng Li, Ruiwen Zhou, Yiqiu Wang, Gehui Wang, Min Chen, Yuanyuan Li, Yachen Wang, Yanan Yi, Zhanfang Hou, Qingchun Guo and 1 more

Abstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

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

11 authors.

Zheng LiSchool of Geography and the Environment, Liaocheng University, Liaocheng, 252000, China.
Ruiwen ZhouSchool of Geography and the Environment, Liaocheng University, Liaocheng, 252000, China.
Yiqiu WangLiaocheng Environmental Information and Monitoring Center, Liaocheng, 252000, China.
Gehui WangKey Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200062, China.
Min ChenSchool of Geography and the Environment, Liaocheng University, Liaocheng, 252000, China.
Yuanyuan LiSchool of Geography and the Environment, Liaocheng University, Liaocheng, 252000, China.
Yachen WangSchool of Geography and the Environment, Liaocheng University, Liaocheng, 252000, China.
Yanan YiSchool of Geography and the Environment, Liaocheng University, Liaocheng, 252000, China.
Zhanfang HouSchool of Geography and the Environment, Liaocheng University, Liaocheng, 252000, China.
Qingchun GuoSchool of Geography and the Environment, Liaocheng University, Liaocheng, 252000, China.
Jingjing MengSchool of Geography and the Environment, Liaocheng University, Liaocheng, 252000, China; State Key Laboratory of Loess and Quaternary Geology, Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710075, China. Electronic address: mengjingjing@lcu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Chinese government issued an unprecedentedly strict lockdown policy to control the spread of the novel coronavirus disease 2019 (COVID-19), significantly mitigating air pollution because of the dramatic reduction of industrial and traffic emissions. To explore the impact of COVID-19 lockdown (LCD) on organic aerosols, the mixing states and evolution processes of amine-containing particles were studied using a single particle aerosol mass spectrometer from January to March 2020 in Liaocheng, which is a seriously polluted city in North China. The counts and percentages of amine-containing particles in total obtained particles during the pre-LCD (547832, 29.8 %) were higher than those during the LCD (283983, 20.7 %) and post-LCD (102026, 18.4 %), mainly due to the reduced emission strength of amines and suppressed gas-to-particle partitioning of amines during the LCD and post-LCD.

Indexed as

Air PollutantsAir PollutionCOVID-19AerosolsAminesAtmosphereChinaCommunicable Disease ControlDisease OutbreaksEnvironmental MonitoringHumansParticulate MatterSARS-CoV-2AerosolsAir PollutantsAminesParticulate MatterAir qualityAmine-containing particlesCOVID-19 lockdownDiethylamine (DEA)Gas-to-particle partitioning

Identifiers

PMID34426186
PMCPMC8325104

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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.