Evidence map›Paper›PMID 33800674›Full record

ReviewAntibiotics (Basel, Switzerland)2021

Nanoscale Metal-Organic Frameworks as Fluorescence Sensors for Food Safety.

Xilin Dou, Kai Sun, Haobin Chen, Yifei Jiang, Li Wu, Jun Mei, Zhaoyang Ding, Jing Xie

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  10. Microcrystalline Luminescent (EuMolecules (Basel, Switzerland) · 2024
    Article
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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

8 authors.

Xilin DouCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Kai SunDepartment of Chemistry, University of Washington, Seattle, WA 98195, USA.
Haobin ChenDepartment of Chemistry, University of Washington, Seattle, WA 98195, USA.
Yifei JiangDepartment of Chemistry, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-1818-4541
Li WuSchool of Public Health, Nantong University, Nantong 226019, China.
Jun MeiCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0002-1566-0365
Zhaoyang DingCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0003-4657-992X
Jing XieCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0002-3194-9273

Funding

Shanghai Agriculture Applied Technology Development Program 2019-02-08-00-10-F01143Shanghai Ocean University A2-2006-21-200203Shanghai Ocean University A2-2006-21-200313
6 · The paper itself

Abstract

Food safety has attracted attention worldwide, and how to detect various kinds of hazardous substances in an efficient way has always been a focus. Metal-Organic Frameworks (MOFs) are a class of hybrid porous materials formed by organic ligand and metal ions. Nanoscale MOFs (NMOFs) exhibit great potential in serving as fluorescence sensors for food safety due to their superior properties including high accuracy, great stability, fast response, etc. In this review, we focus on the recent development of NMOFs sensing for food safety. Several typical methods of NMOFs synthesis are presented. NMOFs-based fluorescence sensors for contaminants and adulterants, such as antibiotics, food additives, ions and mycotoxin etc. are summarized, and the sensing mechanisms are also presented. We explore these challenges in detail and provide suggestions about how they may be surmounted. This review could help the exploration of NMOFs sensors in food related work.

Indexed as

fluorescencefood safetyNMOFssensor

Identifiers

PMID33800674
PMCPMC8067089

What OpenQuestion holds

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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.