Smartphone-Based Electrochemical Potentiostat Detection System Using PEDOT: PSS/Chitosan/Graphene Modified Screen-Printed Electrodes for Dopamine Detection
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...
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Published in | Sensors (Basel, Switzerland) Vol. 20; no. 10; p. 2781 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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14.05.2020
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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. |
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AbstractList | 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. 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.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. |
Author | Shen, Xiaoyan Ma, Lei Li, Guicai Ju, Feng |
AuthorAffiliation | 2 Co-Innovation Center of Neuroregeneration, Nantong University, Nantong 226019, China 1 School of Information Science and Technology, Nantong University, Nantong 226019, China; xiaoyansho@ntu.edu.cn (X.S.); jufeng199412@163.com (F.J.) 3 Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Nantong University, Nantong 226001, China; gcli1981@ntu.edu.cn |
AuthorAffiliation_xml | – name: 3 Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Nantong University, Nantong 226001, China; gcli1981@ntu.edu.cn – name: 1 School of Information Science and Technology, Nantong University, Nantong 226019, China; xiaoyansho@ntu.edu.cn (X.S.); jufeng199412@163.com (F.J.) – name: 2 Co-Innovation Center of Neuroregeneration, Nantong University, Nantong 226019, China |
Author_xml | – sequence: 1 givenname: Xiaoyan surname: Shen fullname: Shen, Xiaoyan – sequence: 2 givenname: Feng orcidid: 0000-0001-6577-7062 surname: Ju fullname: Ju, Feng – sequence: 3 givenname: Guicai surname: Li fullname: Li, Guicai – sequence: 4 givenname: Lei surname: Ma fullname: Ma, Lei |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32422926$$D View this record in MEDLINE/PubMed |
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Snippet | In this work, a smartphone-based electrochemical detection system was designed and developed for rapid and real-time detection of dopamine (DA). The system... |
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SubjectTerms | Ascorbic Acid Biocompatibility Biomarkers Biosensors Bridged Bicyclo Compounds, Heterocyclic Carbon Chitosan conducting polymer Design Dopamine Dopamine - analysis electrochemical detection Electrochemical Techniques Electrodes Graphene Graphite Mobile Applications Nanocomposites Nanomaterials Oxidation Point of care testing Polyethylene terephthalate Polymerization Polymers Potassium Sensors Smartphone Smartphones Spectrum analysis Uric Acid Voltammetry |
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Title | Smartphone-Based Electrochemical Potentiostat Detection System Using PEDOT: PSS/Chitosan/Graphene Modified Screen-Printed Electrodes for Dopamine Detection |
URI | https://www.ncbi.nlm.nih.gov/pubmed/32422926 https://www.proquest.com/docview/2404245091 https://www.proquest.com/docview/2404638300 https://pubmed.ncbi.nlm.nih.gov/PMC7285078 https://doaj.org/article/713f8eebcdf140df97bbd37209237a68 |
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