Evidence map›Paper›PMID 32422926›Full record

ArticleSensors (Basel, Switzerland)2020

Smartphone-Based Electrochemical Potentiostat Detection System Using PEDOT: PSS/Chitosan/Graphene Modified Screen-Printed Electrodes for Dopamine Detection.

Xiaoyan Shen, Feng Ju, Guicai Li, Lei Ma

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

4 authors.

Xiaoyan ShenSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Feng JuSchool of Information Science and Technology, Nantong University, Nantong 226019, China.ORCID 0000-0001-6577-7062
Guicai LiKey Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Nantong University, Nantong 226001, China.
Lei MaSchool of Information Science and Technology, Nantong University, Nantong 226019, China.

Funding

"226 Engineering" Research Project of the Nantong Government 226 EngineeringDirective Project of Science and Technology Plan of Nantong City MS12018028Jiang Su Liberal arts and Social Sciences Foundation 17YJC890022Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions 16KJB180019(Ministry of Education in China) Liberal arts and Social Sciences Foundation 17YJC890022National Natural Science Foundation of China 61534003, 31771054, 81371663Natural Key Science Research Program of Jiangsu Education Department 19KJA320006Natural Science Foundation of Jiangsu Province BK20170448Opening Project of State Key Laboratory of Bioelectronics in Southeast University Southeast University"Six Major Talents Project" of Jiangsu Province SWYY-116
6 · The paper itself

Abstract

In this work, a smartphone-based electrochemical detection system was designed and developed for rapid and real-time detection of dopamine (DA). The system included a screen-printed electrode (SPE) used as a sensor, a hand-held electrochemical potentiostat and a smart phone with a specially designed app. During the detection period, the SPEs modified with poly(3,4-ethylenedioxythiophene) (PEDOT), chitosan (CS) and graphene (G) were used to convert and amplify the electrochemical reaction signals. The electrochemical potentiostat was used to generate excitation electrical signals and collect the electrical signals converted from the sensor. The smartphone-connected to the detector via Bluetooth-was used to control the detector for tests, further process the uploaded data, and plot graphs in real time. Experimental results showed that the self-designed sensing system could be employed for highly selective detection of DA in the presence of interfering substances such as ascorbic acid (AA) and uric acid (UA). CV was carried out to characterize the electrochemical properties of the modified SPEs and the electrochemical behaviors of DA on the modified SPEs. Finally, according to the analysis of DPV responses of DA, the system could detect DA with a detection sensitivity of 0.52 ± 0.01 μA/μM and a limit of detection of 0.29 μM in the linear range of DA concentrations from 0.05 to 70 μM.

Indexed as

Bridged Bicyclo Compounds, HeterocyclicChitosanGraphitePolymersSmartphoneAscorbic AcidDopamineElectrochemical TechniquesElectrodesMobile ApplicationsUric AcidAscorbic AcidBridged Bicyclo Compounds, HeterocyclicChitosanDopamineGraphitepoly(3,4-ethylene dioxythiophene)PolymersUric Acidconducting polymerdopamineelectrochemical detectiongraphenesmartphone

Identifiers

PMID32422926
PMCPMC7285078

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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.