Evidence map›Paper›PMID 31533228›Full record

ReviewNanomaterials (Basel, Switzerland)2019

Carbon-Based Nanomaterials in Sensors for Food Safety.

Mingfei Pan, Zongjia Yin, Kaixin Liu, Xiaoling Du, Huilin Liu, Shuo Wang

Open access · goldAbstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 106 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Carbon-Based Multifunctional Nanomaterials.Nanomaterials (Basel, Switzerland) · 2024
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Nanotechnology-based approaches applied to nutraceuticals.Drug delivery and translational research · 2022
    Review
  15. 3D Modeling of Silver Doped ZrONanomaterials (Basel, Switzerland) · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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 at 2 institutions in 1 country.

Mingfei PanState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China. panmf2012@tust.edu.cn.
Zongjia YinState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China. yinzongjiasiss@126.com.
Kaixin LiuState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China. lkx13642168374@163.com.
Xiaoling DuState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China. duxiaoling98@163.com.
Huilin LiuCollege of Food and Health, Beijing Technology and Business University, Beijing 100048, China. liuhuilin@btbu.edu.cn.ORCID 0000-0002-7912-2611
Shuo WangState Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin 300457, China. s.wang@tust.edu.cn.
Tianjin University of Science and Technology · CNBeijing Technology and Business University · CN

Funding

Open fund of college student laboratory in Tianjin University of Science and Techonology 1814A204Open Project Program of State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology SKLFNS-KF-201803Program of Key Laboratory of Food Nutrition and Safety, Ministry of Education 2018001Project of Tianjin Science and Technology Plan 18ZYPTJC00020Tianjin Natural Science Foundation 17JCQNJC14800
6 · The paper itself

Abstract

Food safety is one of the most important and widespread research topics worldwide. The development of relevant analytical methods or devices for detection of unsafe factors in foods is necessary to ensure food safety and an important aspect of the studies of food safety. In recent years, developing high-performance sensors used for food safety analysis has made remarkable progress. The combination of carbon-based nanomaterials with excellent properties is a specific type of sensor for enhancing the signal conversion and thus improving detection accuracy and sensitivity, thus reaching unprecedented levels and having good application potential. This review describes the roles and contributions of typical carbon-based nanomaterials, such as mesoporous carbon, single- or multi-walled carbon nanotubes, graphene and carbon quantum dots, in the construction and performance improvement of various chemo- and biosensors for various signals. Additionally, this review focuses on the progress of applications of this type of sensor in food safety inspection, especially for the analysis and detection of all types of toxic and harmful substances in foods.

Indexed as

carbon-based nanomaterialschemo- and biosensorfood safety

Identifiers

PMID31533228
PMCPMC6781043
OpenAlexW2974582128

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.