Evidence map›Paper›PMID 37822319›Full record

ArticleCurrent research in food science2023

Occurrence, spatial distribution, and risk assessment of perchlorate in tea from typical regions in China.

Yan Li, Shaohua Li, Jun Ren, Jingguang Li, Yunfeng Zhao, Dawei Chen, Yongning Wu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current research in food science, 2023. 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
0.8field-weighted citation impact, top 31% of its field
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, 5 citations in OpenAlex.

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

7 authors at 1 institution in 1 country.

Yan LiDepartment of Sanitary Technology, West China School of Public Health, Sichuan University, Chengdu, 610041, China.
Shaohua LiNHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing, 100021, China.
Jun RenWuhai Inspection and Testing Center, Wuhai, 016000, China.
Jingguang LiNHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing, 100021, China.
Yunfeng ZhaoNHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing, 100021, China.
Dawei ChenNHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Science Research Unit (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing, 100021, China.
Yongning WuDepartment of Sanitary Technology, West China School of Public Health, Sichuan University, Chengdu, 610041, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perchlorate is a kind of persistent pollutant which occurs widely in the environment. The news of "high content of perchlorate detected in tea exported from China to Europe" has aroused public concerns on perchlorate in tea. However, limited data on its occurrence in tea and health risks for the tea consumers are available. To this end, this study explored the occurrence and spatial distribution of perchlorate based on 747 tea samples collected from the 13 major tea producing regions in China. Perchlorate was detected in 100% of tea samples. The average concentration of perchlorate was 163 μg/kg with the range from 1.2 μg/kg to 3132 μg/kg. From the perspective of spatial distribution, a remarkable difference was observed for perchlorate concentrations in tea samples between different regions (

Indexed as

Chronic daily intakeContaminationExposure assessmentPerchlorateTea

Identifiers

PMID37822319
PMCPMC10563047
OpenAlexW4387345800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.