Fuel cell sensor and biosensor based on Prussian blue nanotube membrane

In this thesis, we presented a system of fuel cell sensor and biosensor with simple two-compartment design based on a Prussian blue nanotubes membrane. Firstly, we proposed a unique Prussian blue nanotubes sensor using a two-compartment cell derives the current signal from the chemical energy of the...

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Main Author: Wei, Yanyan
Other Authors: Toh Chee Seng
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/66035
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author Wei, Yanyan
author2 Toh Chee Seng
author_facet Toh Chee Seng
Wei, Yanyan
author_sort Wei, Yanyan
collection NTU
description In this thesis, we presented a system of fuel cell sensor and biosensor with simple two-compartment design based on a Prussian blue nanotubes membrane. Firstly, we proposed a unique Prussian blue nanotubes sensor using a two-compartment cell derives the current signal from the chemical energy of the hydrogen peroxide analyte, without input of electrical potentials. This strategy can be further demonstrated in a model glucose biosensor when coupling with glucose oxidase. This H2O2 powered sensor was extended to fabricate a virus sensor based on the formation of antibody-virus complexes within the sensor’s membrane nanochannels for direct detection of unlabelled virus particles. This fuel cell virus sensor offered an impressive short response time of ~5 min toward the specific virus target, at low concentration values of 3 to 45 pfu mL-1. As low as 0.04 pfu mL-1 of detection limit was achieved, which was comparable to state-of-the-art PCR based methods. To simplify the sensing design, we fabricated an integrated PB-nt membrane filled with Nafion®perfluorinated resin as a standalone fuel cell based virus sensor, which offered promising potential to develop a sustainable, low cost and rapid low power virus detection tool. Inspired from the integrate membrane probe, we demonstrated a hand-held H2O2 fuel cell sensor based on Prussian blue nanotubes membrane. This H2O2 fuel cell sensor was constructed using four standalone nafion-filled PB-nt membranes connected in parallel, which employed the PB-nt membrane as both electrodes and fuel reservoir. An open-circuit potential (OCP) of 0.54 V with a maximum power density of 0.7 mW cm-2 has been achieved at a low concentration of 10 mM H2O2. The analytical performance of the fuel cell sensor was monitored using a micro-current meter to record the responding signal towards varying H2O2 concentrations. An excellent linear relationship has been established between the responding current signal and low concentrations of H2O2.
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spelling ntu-10356/660352023-02-28T23:49:29Z Fuel cell sensor and biosensor based on Prussian blue nanotube membrane Wei, Yanyan Toh Chee Seng Li Tianhu School of Physical and Mathematical Sciences DRNTU::Science::Chemistry::Physical chemistry::Electrochemistry In this thesis, we presented a system of fuel cell sensor and biosensor with simple two-compartment design based on a Prussian blue nanotubes membrane. Firstly, we proposed a unique Prussian blue nanotubes sensor using a two-compartment cell derives the current signal from the chemical energy of the hydrogen peroxide analyte, without input of electrical potentials. This strategy can be further demonstrated in a model glucose biosensor when coupling with glucose oxidase. This H2O2 powered sensor was extended to fabricate a virus sensor based on the formation of antibody-virus complexes within the sensor’s membrane nanochannels for direct detection of unlabelled virus particles. This fuel cell virus sensor offered an impressive short response time of ~5 min toward the specific virus target, at low concentration values of 3 to 45 pfu mL-1. As low as 0.04 pfu mL-1 of detection limit was achieved, which was comparable to state-of-the-art PCR based methods. To simplify the sensing design, we fabricated an integrated PB-nt membrane filled with Nafion®perfluorinated resin as a standalone fuel cell based virus sensor, which offered promising potential to develop a sustainable, low cost and rapid low power virus detection tool. Inspired from the integrate membrane probe, we demonstrated a hand-held H2O2 fuel cell sensor based on Prussian blue nanotubes membrane. This H2O2 fuel cell sensor was constructed using four standalone nafion-filled PB-nt membranes connected in parallel, which employed the PB-nt membrane as both electrodes and fuel reservoir. An open-circuit potential (OCP) of 0.54 V with a maximum power density of 0.7 mW cm-2 has been achieved at a low concentration of 10 mM H2O2. The analytical performance of the fuel cell sensor was monitored using a micro-current meter to record the responding signal towards varying H2O2 concentrations. An excellent linear relationship has been established between the responding current signal and low concentrations of H2O2. DOCTOR OF PHILOSOPHY (SPMS) 2016-03-03T04:46:11Z 2016-03-03T04:46:11Z 2016 Thesis Wei, Y. (2016). Fuel cell sensor and biosensor based on Prussian blue nanotube membrane. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/66035 10.32657/10356/66035 en 128 p. application/pdf
spellingShingle DRNTU::Science::Chemistry::Physical chemistry::Electrochemistry
Wei, Yanyan
Fuel cell sensor and biosensor based on Prussian blue nanotube membrane
title Fuel cell sensor and biosensor based on Prussian blue nanotube membrane
title_full Fuel cell sensor and biosensor based on Prussian blue nanotube membrane
title_fullStr Fuel cell sensor and biosensor based on Prussian blue nanotube membrane
title_full_unstemmed Fuel cell sensor and biosensor based on Prussian blue nanotube membrane
title_short Fuel cell sensor and biosensor based on Prussian blue nanotube membrane
title_sort fuel cell sensor and biosensor based on prussian blue nanotube membrane
topic DRNTU::Science::Chemistry::Physical chemistry::Electrochemistry
url https://hdl.handle.net/10356/66035
work_keys_str_mv AT weiyanyan fuelcellsensorandbiosensorbasedonprussianbluenanotubemembrane