2014
DOI: 10.1371/journal.pone.0095030
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Glucose Biosensor Based on a Glassy Carbon Electrode Modified with Polythionine and Multiwalled Carbon Nanotubes

Abstract: A novel glucose biosensor was fabricated. The first layer of the biosensor was polythionine, which was formed by the electrochemical polymerisation of the thionine monomer on a glassy carbon electrode. The remaining layers were coated with chitosan-MWCNTs, GOx, and the chitosan-PTFE film in sequence. The MWCNTs embedded in FAD were like “conductive wires” connecting FAD with electrode, reduced the distance between them and were propitious to fast direct electron transfer. Combining with good electrical conduct… Show more

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Cited by 24 publications
(8 citation statements)
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“…Therefore, the formation of an additional layer of PPCA causes a decrease in the intensity of the redox peaks. For the GR/PB-PPCA/PPCA–GOx, an even greater decrease in redox peaks intensity was observed due to nonconducting nature of enzyme 33 , 34 immobilized on the surface. In addition, as shown in Fig.…”
Section: Resultsmentioning
confidence: 96%
“…Therefore, the formation of an additional layer of PPCA causes a decrease in the intensity of the redox peaks. For the GR/PB-PPCA/PPCA–GOx, an even greater decrease in redox peaks intensity was observed due to nonconducting nature of enzyme 33 , 34 immobilized on the surface. In addition, as shown in Fig.…”
Section: Resultsmentioning
confidence: 96%
“…This response time is lower than that observed by Arora et al 31 (60 s), Ali and Mohamed 32 (5 s). Du et al 33 with response time of 7 s and Tang et al 34 biosensor with a response time of less than 15 s.…”
Section: Chronoamperometry Measurementsmentioning
confidence: 99%
“…Table 1 presents the values of the impedances and frequencies of the resonance peaks with the respective RSDs of the proposed biochip for serum samples of varying glucose concentrations. The proposed biochip exhibits a glucose detection limit at least 19 times lower than several previously reported EIS-based glucose biosensors [ 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ].…”
Section: Resultsmentioning
confidence: 78%