Evidence map›Paper›PMID 37701237›Full record

ReviewFood science & nutrition2023

Research on irradiated food status and consumer acceptance: A Chinese perspective.

Ke Wang, Xinxin Pang, Zhengkui Zeng, Houhua Xiong, Jifu Du, Gang Li, Isaac Kwasi Baidoo

Abstract readReview
In one paragraph

Review in Food science & nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The Rapid Detection ofFoods (Basel, Switzerland) · 2023
    Article
  6. 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

7 authors.

Ke WangSchool of Nuclear Technology and Chemistry & Biology and Hubei Key Laboratory of Radiation Chemistry and Functional Materials Hubei University of Science and Technology Xianning China.
Xinxin PangChina Isotope & Radiation Corporation Beijing China.
Zhengkui ZengSchool of Nuclear Technology and Chemistry & Biology and Hubei Key Laboratory of Radiation Chemistry and Functional Materials Hubei University of Science and Technology Xianning China.ORCID https://orcid.org/0000-0002-7987-1604
Houhua XiongSchool of Nuclear Technology and Chemistry & Biology and Hubei Key Laboratory of Radiation Chemistry and Functional Materials Hubei University of Science and Technology Xianning China.
Jifu DuSchool of Nuclear Technology and Chemistry & Biology and Hubei Key Laboratory of Radiation Chemistry and Functional Materials Hubei University of Science and Technology Xianning China.
Gang LiCNNC High Energy Equipment (Tianjin) Co., Ltd Tianjin China.
Isaac Kwasi BaidooNuclear Reactors Research Centre National Nuclear Research Institute Legon Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is currently the world's largest producer of food irradiation. Despite the long-standing (about 100 years) evidence supporting the safety of food irradiation, consumers' acceptance of irradiated foods remains limited. This study aimed to investigate the development of food irradiation in China and identify the barriers that keep consumers away from irradiated foods. This was accomplished by exploring the relevant policies of food irradiation, the size and distribution of irradiation facilities in China, and analyzing their relationships between consumer characteristics and the acceptance of irradiated food. To achieve these objectives, we conducted an online survey of participants from Hubei, China (

Indexed as

acceptanceconsumer perceptionirradiation foodnuclear technology

Identifiers

PMID37701237
PMCPMC10494638

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.