Cost-effective flow injection amperometric system with metal nanoparticle loaded carbon nanotube modified screen printed carbon electrode for sensitive determination of hydrogen peroxide

• Main Authors: Preeyaporn Reanpang, Suwaphid Themsirimongkon, Surin Saipanya, Orawon Chailapakul, Jaroon Jakmunee
• Format: Journal
• Published: 2018
• Subjects: Agricultural and Biological Sciences
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84937458822&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/44277
• Institution: Chiang Mai University

© 2015 Elsevier B.V. All rights reserved. Various metal nanoparticles (NPs) decorated on carbon nanotube (CNT) was modified on the home-made screen printed carbon electrode (SPCE) in order to enhances sensitivity of hydrogen peroxide (H < inf > 2 < /inf > O < inf > 2 < /inf > ) determination. The simple casting method was used for the electrode modification. The monometallic and bimetallic NPs modified electrodes were investigated for their electrochemical properties for H < inf > 2 < /inf > O < inf > 2 < /inf > reduction. The Pd-CNT/SPCE is appropriated to measure the H < inf > 2 < /inf > O < inf > 2 < /inf > reduction at a potential of -0.3 V, then this modified electrode was incorporated with a home-made flow through cell and applied in a simple flow injection amperometry (FI-Amp). Some parameters influencing the resulted modified electrode and the FI-Amp system were studied. The proposed detection system was able to detect H < inf > 2 < /inf > O < inf > 2 < /inf > in the range of 0.1-1.0 mM, with detection limit of 20 μM. Relative standard deviation for 100 replicated injections of 0.6 mM H < inf > 2 < /inf > O < inf > 2 < /inf > was 2.3%. The reproducibility of 6 electrodes preparing in 3 different lots was 8.2%. It was demonstrated for determination of H < inf > 2 < /inf > O < inf > 2 < /inf > in disinfectant, hair colorant and milk samples. Recoveries in the range of 90-109% were observed. The developed system provided high stability, good repeatability, high sample throughput and low reagent consumption.