Evidence map›Paper›PMID 36235140›Full record

ArticleMolecules (Basel, Switzerland)2022

Portable Wireless Intelligent Electrochemical Sensor for the Ultrasensitive Detection of Rutin Using Functionalized Black Phosphorene Nanocomposite.

Fan Shi, Yijing Ai, Baoli Wang, Yucen Yao, Zejun Zhang, Juan Zhou, Xianghui Wang, Wei Sun

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. 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. Review
  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

8 authors.

Fan ShiKey Laboratory of Water Pollution Treatment and Resource Rouse of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.ORCID 0000-0002-5242-8389
Yijing AiKey Laboratory of Water Pollution Treatment and Resource Rouse of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.
Baoli WangKey Laboratory of Water Pollution Treatment and Resource Rouse of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.
Yucen YaoKey Laboratory of Water Pollution Treatment and Resource Rouse of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.
Zejun ZhangKey Laboratory of Water Pollution Treatment and Resource Rouse of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.
Juan ZhouKey Laboratory of Water Pollution Treatment and Resource Rouse of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.
Xianghui WangKey Laboratory of Water Pollution Treatment and Resource Rouse of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.
Wei SunKey Laboratory of Water Pollution Treatment and Resource Rouse of Hainan Province, Key Laboratory of Functional Materials and Photoelectrochemistry of Haikou, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.ORCID 0000-0002-9923-7328

Funding

Graduate Student Innovation Project of College of Chemistry and Chemical Engineering Hainan Normal University Hgb202010Hainan Provincial Natural Science Foundation of High Level-talent Project 220RC594National Natural Science Foundation of China 21964007National Natural Science Foundation of China 22102043Specific Research Fund of the Innovation Platform for Academicians of Hainan Province YSPTZX202126
6 · The paper itself

Abstract

To build a portable and sensitive method for monitoring the concentration of the flavonoid rutin, a new electrochemical sensing procedure was established. By using nitrogen-doped carbonized polymer dots (N-CPDs) anchoring few-layer black phosphorene (N-CPDs@FLBP) 0D-2D heterostructure and gold nanoparticles (AuNPs) as the modifiers, a carbon ionic liquid electrode and a screen-printed electrode (SPE) were used as the substrate electrodes to construct a conventional electrochemical sensor and a portable wireless intelligent electrochemical sensor, respectively. The electrochemical behavior of rutin on the fabricated electrochemical sensors was explored in detail, with the analytical performances investigated. Due to the electroactive groups of rutin, and the specific π-π stacking and cation-π interaction between the nanocomposite with rutin, the electrochemical responses of rutin were greatly enhanced on the AuNPs/N-CPDs@FLBP-modified electrodes. Under the optimal conditions, ultra-sensitive detection of rutin could be realized on AuNPs/N-CPDs@FLBP/SPE with the detection range of 1.0 nmol L

Indexed as

Ionic LiquidsMetal NanoparticlesNanocompositesCarbonElectrochemical TechniquesElectrodesGoldLimit of DetectionNitrogenPolymersRutinCarbonGoldIonic LiquidsNitrogenPolymersRutinelectrochemistryfunctionalized black phosphorene nanocompositeportable wireless intelligent electrochemical sensorrutinscreen-printed electrode

Identifiers

PMID36235140
PMCPMC9571638

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.