Literature DB >> 20864332

A selective nitric oxide nanocomposite biosensor based on direct electron transfer of microperoxidase: removal of interferences by co-immobilized enzymes.

Adel A Abdelwahab1, Wei Choon Alvin Koh, Hui-Bog Noh, Yoon-Bo Shim.   

Abstract

A highly selective nitric oxide (NO) biosensor was developed by immobilizing microperoxidase (MP) onto the MWCNT-poly-5,2':5',2″-terthiophene-3'-carboxylic acid (PTTCA) nanocomposite. Catalase (CAS) and superoxide dismutase (SOD) co-immobilized on the probe successfully protected the interferences of H(2)O(2) and O(2)(-) during NO detection. The nanocomposite layer showed the direct electron transfer processes of the immobilized CAS, SOD, and MP simultaneously at -0.11/+0.04, -0.33/-0.27, and -0.47/-0.40 V vs. Ag/AgCl. Au nanoparticles (AuNPs) were electrodeposited on a glassy carbon surface to enhance the sensitivity of the sensor probe. The layers of CAS/SOD/MP/MWCNT-PTTCA/AuNPs were characterized using SEM, XPS, and QCM. The CAS/SOD/MP/MWCNT-PTTCA/AuNPs probe showed an excellent performance in the electrocatalytic reduction of NO which was attributed to the heme group of MP. Experimental conditions affecting the sensitivity of the biosensor were optimized in terms of pH, temperature, and applied potential. The dynamic range of NO analysis was from 1.0 to 40 μM with the detection limit of 4.3 ± 0.2 nM. The reliability of biosensor was examined for the determination of NO released from the real samples of rat liver, stomach (AGS), and intestinal (HT-29) cancer cells.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20864332     DOI: 10.1016/j.bios.2010.08.070

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  2 in total

Review 1.  Electrochemical Biosensors Employing Natural and Artificial Heme Peroxidases on Semiconductors.

Authors:  Bettina Neumann; Ulla Wollenberger
Journal:  Sensors (Basel)       Date:  2020-07-01       Impact factor: 3.576

2.  Analytical modeling of glucose biosensors based on carbon nanotubes.

Authors:  Ali H Pourasl; Mohammad Taghi Ahmadi; Meisam Rahmani; Huei Chaeng Chin; Cheng Siong Lim; Razali Ismail; Michael Loong Peng Tan
Journal:  Nanoscale Res Lett       Date:  2014-01-15       Impact factor: 4.703

  2 in total

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