Evidence map›Paper›PMID 35696138›Full record

ReviewJournal of food and drug analysis2020

Improved food additive analysis by ever-increasing nanotechnology.

Jing Zhang, Shui Hu, Yi Du, Ding Cao, Guirong Wang, Zhiqin Yuan

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of food and drug analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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

6 authors.

Jing ZhangState Key Laboratory of Chemical Resource Engineering, College of Chemistry, College of Material Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Shui HuState Key Laboratory of Chemical Resource Engineering, College of Chemistry, College of Material Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Yi DuDepartment of Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China.
Ding CaoState Key Laboratory of Chemical Resource Engineering, College of Chemistry, College of Material Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Guirong WangState Key Laboratory of Chemical Resource Engineering, College of Chemistry, College of Material Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Zhiqin YuanState Key Laboratory of Chemical Resource Engineering, College of Chemistry, College of Material Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improper use of food additives may lead to potential threat to human health, making it important to develop sensitive and selective method for their detection. Nanomaterials with unique chemical and electrochemical properties show extensive applications in the design of food additive sensing systems. In this review, we summarize the recently adopted electrochemical and optical analysis of food additives based on nanomaterials. Detection of typical food additives (colorants and preservatives) by using different sensing mechanisms and strategies are provided. In addition, determination of illegal food additives is also briefly introduced. Finally, this review highlights the challenges and future trend of nanomaterial-based food analysis system.

Identifiers

PMID35696138
PMCPMC9261809

What OpenQuestion holds

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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.