Evidence map›Paper›PMID 32714896›Full record

ArticleFrontiers in chemistry2020

Electrochemiluminescence Detection of Sunset Yellow by Graphene Quantum Dots.

Huimin Niu, Xin Yang, Yilei Wang, Mingchen Li, Guangliang Zhang, Peng Pan, Yangyang Qi, Zhengchun Yang, John Wang, Zhenyu Liao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Huimin NiuTianjin Key Laboratory of Film Electronic and Communication Devices, Advanced Materials and Printed Electronics Center, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China.
Xin YangTianjin Key Laboratory of Film Electronic and Communication Devices, Advanced Materials and Printed Electronics Center, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China.
Yilei WangTianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion, School of Chemistry and Chemical Engineering, Tianjin University of Technology, Tianjin, China.
Mingchen LiTianjin Key Laboratory of Film Electronic and Communication Devices, Advanced Materials and Printed Electronics Center, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China.
Guangliang ZhangTianjin Key Laboratory of Film Electronic and Communication Devices, Advanced Materials and Printed Electronics Center, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China.
Peng PanTianjin Key Laboratory of Film Electronic and Communication Devices, Advanced Materials and Printed Electronics Center, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China.
Yangyang QiTianjin Key Laboratory of Film Electronic and Communication Devices, Advanced Materials and Printed Electronics Center, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China.
Zhengchun YangTianjin Key Laboratory of Film Electronic and Communication Devices, Advanced Materials and Printed Electronics Center, School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, China.
John WangDepartment of Materials Science and Engineering, National University of Singapore, Singapore, Singapore.
Zhenyu LiaoPony Testing International Group, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Use of food additives, such as colorants and preservatives, is highly regulated because of their potential health risks to humans. Therefore, it is important to detect these compounds effectively to ensure conformance with industrial standards and to mitigate risk. In this paper, we describe the preparation and performance of an ultrasensitive electrochemiluminescence (ECL) sensor for detecting a key food additive, sunset yellow. The sensor uses graphene quantum dots (GQDs) as the luminescent agent and potassium persulfate as the co-reactant. Strong and sensitive ECL signals are generated in response to trace amounts of added sunset yellow. A detection limit (signal-to-noise ratio = 3) of 7.6 nM and a wide linear range from 2.5 nM to 25 μM are demonstrated. A further advantage of the method is that the luminescent reagents can be recycled, indicating that the method is sustainable, in addition to being simple and highly sensitive.

Indexed as

electrochemiluminescence (ECL)food safetygraphene quantum dots (GQDs)sensorsunset yellow

Identifiers

PMID32714896
PMCPMC7344220

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.