Evidence map›Paper›PMID 36905070›Full record

ArticleSensors (Basel, Switzerland)2023

Highly Sensitive and Selective Dopamine Determination in Real Samples Using Au Nanoparticles Decorated Marimo-like Graphene Microbead-Based Electrochemical Sensors.

Qichen Tian, Yuanbin She, Yangguang Zhu, Dan Dai, Mingjiao Shi, Wubo Chu, Tao Cai, Hsu-Sheng Tsai, He Li, Nan Jiang and 4 more

Full text read
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In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

14 authors.

Qichen TianCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Yuanbin SheCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Yangguang ZhuQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Dan DaiCollege of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Mingjiao ShiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Wubo ChuQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Tao CaiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Hsu-Sheng TsaiLaboratory for Space Environment and Physical Sciences, Harbin Institute of Technology, Harbin 150001, China.
He LiQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Nan JiangQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.
Li FuCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-5957-7790
Hongyan XiaState Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 710049, China.
Cheng-Te LinQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.ORCID 0000-0002-7090-9610
Chen YeQianwan Institute, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China.

Funding

CAS Youth Innovation Promotion Association 2020301China Postdoctoral Science Foundation 2020M681965, 2022M713243Foundation of State Key Laboratory of Solid lubrication LSL-1912National Key Laboratory of Science and Technology on Advanced Composites in Special Environments 6142905192806National Key R&D Program of China 2017YFB0406000, 2017YFE0128600National Natural Science Foundation of China 52102055, 5227020331, 52075527Natural Science Foundation of Ningbo 2017A610010Project of the Chinese Academy of Sciences XDC07030100, XDA22020602, ZDKYYQ20200001, ZDRW-CN-2019-3Science and Technology Major Project of Ningbo 2021Z120, 2021Z115, 2022Z084, 2018B10046, 2016S1002
6 · The paper itself

Abstract

A sensitive and selective electrochemical dopamine (DA) sensor has been developed using gold nanoparticles decorated marimo-like graphene (Au NP/MG) as a modifier of the glassy carbon electrode (GCE). Marimo-like graphene (MG) was prepared by partial exfoliation on the mesocarbon microbeads (MCMB) through molten KOH intercalation. Characterization via transmission electron microscopy confirmed that the surface of MG is composed of multi-layer graphene nanowalls. The graphene nanowalls structure of MG provided abundant surface area and electroactive sites. Electrochemical properties of Au NP/MG/GCE electrode were investigated by cyclic voltammetry and differential pulse voltammetry techniques. The electrode exhibited high electrochemical activity towards DA oxidation. The oxidation peak current increased linearly in proportion to the DA concentration in a range from 0.02 to 10 μM with a detection limit of 0.016 μM. The detection selectivity was carried out with the presence of 20 μM uric acid in goat serum real samples. This study demonstrated a promising method to fabricate DA sensor-based on MCMB derivatives as electrochemical modifiers.

Indexed as

dopamine determinationelectrochemical sensorsgold nanoparticlesgraphene nanowallsmesocarbon microbeads

Identifiers

PMID36905070
PMCPMC10007331

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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.