Evidence map›Paper›PMID 32244951›Full record

ReviewPolymers2020

Recent Progress on Luminescent Metal-Organic Framework-Involved Hybrid Materials for Rapid Determination of Contaminants in Environment and Food.

Chi-Xuan Yao, Ning Zhao, Ji-Chao Liu, Li-Jun Chen, Jing-Min Liu, Guo-Zhen Fang, Shuo Wang

Abstract readReview
In one paragraph

Review in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Hybrid Materials: A Metareview.Chemistry of materials : a publication of the American Chemical Society · 2024
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

7 authors.

Chi-Xuan YaoState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China.
Ning ZhaoTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, China.
Ji-Chao LiuBeijing San Yuan foods co., LTD., No. 8 Yingchang Road, Yinghai, Daxing District, Beijing 100076, China.
Li-Jun ChenBeijing San Yuan foods co., LTD., No. 8 Yingchang Road, Yinghai, Daxing District, Beijing 100076, China.
Jing-Min LiuTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, China.
Guo-Zhen FangState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China.
Shuo WangState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China.

Funding

National Natural Science Foundation of China 218060Open Project Program of State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology SKLFNS-KF-201907
6 · The paper itself

Abstract

The high speed of contaminants growth needs the burgeoning of new analytical techniques to keep up with the continuous demand for monitoring and legislation on food safety and environmental pollution control. Metal-organic frameworks (MOFs) are a kind of advanced crystal porous materials with controllable apertures, which are self-assembled by organic ligands and inorganic metal nodes. They have the merits of large specific surface areas, high porosity and the diversity of structures and functions. Latterly, the utilization of metal-organic frameworks has attracted much attention in environmental protection and the food industry. MOFs have exhibited great value as sensing materials for many targets. Among many sensing methods, fluorometric sensing is one of the widely studied methods in the detection of harmful substances in food and environmental samples. Fluorometric detection based on MOFs and its functional materials is currently one of the most key research subjects in the food and environmental fields. It has gradually become a hot research direction to construct the highly sensitive rapid sensors to detect harmful substances in the food matrix based on metal-organic frameworks. In this paper, we introduced the synthesis and detection application characteristics (absorption, fluorescence, etc.) of metal-organic frameworks. We summarized their applications in the MOFs-based fluorometric detection of harmful substances in food and water over the past few years. The harmful substances mainly include heavy metals, organic pollutants and other small molecules, etc. On this basis, the future development and possible application of the MOFs have prospected in this review paper.

Indexed as

contaminantsenvironmentfluorescencefoodmetal-organic frameworks

Identifiers

PMID32244951
PMCPMC7183274

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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.