Evidence map›Paper›PMID 40274850›Full record

ArticleNature communications2025

Blockchain-based isotopic big data-driven tracing of global PM sources and interventions.

Yuming Huang, Xiangyu Li, Yuehan Wu, Chaoyang Xue, Jiashuo Li, Yongfeng Lin, Wei Nie, Xian Liu, Qian Liu, Greg Michalski and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Yuming HuangKey Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Xiangyu LiKey Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Yuehan WuKey Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Chaoyang XueMax Planck Institute for Chemistry, Mainz, Germany.ORCID http://orcid.org/0000-0001-6673-7716
Jiashuo LiInstitute of Blue and Green Development, Shandong University, Weihai, 264209, China.ORCID http://orcid.org/0000-0002-2915-4770
Yongfeng LinKey Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.ORCID http://orcid.org/0000-0003-0307-3531
Wei NieJoint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0002-6048-0515
Xian LiuKey Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.ORCID http://orcid.org/0000-0002-5398-4707
Qian LiuKey Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.ORCID http://orcid.org/0000-0001-8525-7961
Greg MichalskiDepartment of Earth, Atmospheric, and Planetary Sciences, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN, USA.
Jingwei ZhangYunnan Key Laboratory of Meteorological Disasters and Climate Resources in the Greater Mekong Subregion, Yunnan University, Kunming, 650500, China. jwzhang@ynu.edu.cn.ORCID http://orcid.org/0000-0001-9973-7771
Zheng ZongEnvironment Research Institute, Shandong University, Qingdao, Shandong, 266237, China. zzong@sdu.edu.cn.ORCID http://orcid.org/0000-0002-3666-6539
Dawei LuKey Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China. dwlu@rcees.ac.cn.ORCID http://orcid.org/0000-0002-8128-6367
Guibin JiangKey Laboratory of Environmental Chemistry and Toxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42107124
6 · The paper itself

Abstract

Tracing sources and assessing intervention effectiveness are crucial for controlling atmospheric particulate matter (PM) pollution. Isotopic techniques enable precise top-down tracing, but the absence of long-term, global-scale multi-compound isotopic data limits comprehensive analysis. Here, we establish a blockchain-based isotopic database, compiling 34,815 isotopic fingerprints of global PM and its emissions from 1,890 pollution events across 66 countries. This allows retrospective analysis and predictions, revealing that PM sources are distinct, dynamically changing over time, and often asynchronous with interventions. Additionally, we estimate source contributions to PM

Identifiers

PMID40274850
PMCPMC12022126

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Registered trials

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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.