Evidence map›Paper›PMID 38846777›Full record

ArticlePNAS nexus2024

Tracking and optimizing toxic chemical exposure pathways through food trade: A case study in SCCPs contaminated seafood in China.

Shijie Song, Tao Huang, Yuting Xu, Zaili Ling, Ling Gou, Xiaoxuan Mao, Yuan Zhao, Kaijie Chen, Yao Liu, Zijian Wei and 3 more

Abstract read
In one paragraph

Article in PNAS nexus, 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

13 authors.

Shijie SongKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.ORCID https://orcid.org/0009-0006-6214-2399
Tao HuangKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.ORCID https://orcid.org/0000-0002-2054-8087
Yuting XuKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.
Zaili LingCollege of Agricultural and Forestry Economics & Management, Lanzhou University of Finance and Economics, Lanzhou 730101, P. R. China.
Ling GouKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.
Xiaoxuan MaoKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.
Yuan ZhaoKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.
Kaijie ChenLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, P. R. China.
Yao LiuKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.
Zijian WeiKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.ORCID https://orcid.org/0000-0001-7768-0401
Jiaxin WangKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.
Hong GaoKey Laboratory for Environmental Pollution Prediction and Control, Gansu Province, Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, P. R. China.
Jianmin MaLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, P. R. China.ORCID https://orcid.org/0000-0002-6593-570X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food safety is related to human health and sustainable development. International food trade poses food safety risks through the collateral transport of toxic chemicals that are detrimental to human health. Domestic interprovincial trade has similar effects within countries but has not been comprehensively investigated previously. Here, we assessed the effects of interprovincial trade on food safety and human dietary exposure to short-chain chlorinated paraffins (SCCPs), a group of emerging persistent toxic chemicals, in seafood across China by synthesizing data from field observation and various models. Our findings indicate that there is a higher level of SCCPs exposure risk in coastal provinces compared to inland provinces. Approximately, 70.3% of human exposure to SCCPs through seafood consumption in China was embodied in the interprovincial seafood trade in 2021. Specifically, the domestic trade led to a remarkable increase in SCCPs exposure in the coastal provinces in South China, attributable to low SCCPs pollution in these provinces and imported seafood from those provinces with high SCCPs pollution. In contrast, human exposure to SCCPs decreased in those coastal provinces in East China due to importing seafood from those provinces with low SCCPs concentrations. The interprovincial seafood trade routes were optimized by linear programming to minimize human exposure to SCCPs considering both shipping cost and health risk constraints. The optimized trade routes reduced the national per capita SCCPs exposure through seafood consumption by over 12%. This study highlights the importance of interprovincial food trade in the risk assessment of toxic chemicals.

Indexed as

Chinainterprovincial food traderisk assessmentseafoodshort-chain chlorinated paraffins

Identifiers

PMID38846777
PMCPMC11154648

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.