Literature DB >> 20532304

Structural characterization by confocal laser scanning microscopy and electrochemical study of multi-walled carbon nanotube tyrosinase matrix for phenol detection.

Maria Guix1, Briza Pérez-López, Melike Sahin, Mònica Roldán, Adriano Ambrosi, Arben Merkoçi.   

Abstract

A novel visualization methodology based on the use of immunofluorescence and Confocal Laser Scanning Microscopy (CLSM) was used to quantify and visualize tyrosinase enzyme within a MWCNTs matrix immobilized onto carbon based screen-printed electrodes. CLSM was shown to be an extremely powerful technique which allowed a clear visualization of the distribution of the enzyme within both the MWCNTs and carbon based layers and provided additional and useful morphological data for a better understanding of the interaction between biomolecules and electrode materials. Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM) were also employed to fully characterize the system components. The proposed MWCNT/Tyrosinase matrix was applied to the detection of phenol, as an alternative biosensor material. Electrochemical analytical performances of the biosensor were investigated in order to determine the optimal fabrication design along with the enzyme stability. The biosensor based on the developed biomaterial matrix proved promising results in terms of cost, simplicity and analytical performance. A detection limit of 1.35 microM and a sensitivity of 47.4 microA mM(-1) within a linear response range of 2.5 to 75 microM phenol were obtained. The biosensor performed well as a disposable device and could be stored in a refrigerator (-18 degrees C) without loss of activity for up to 2 months.

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Year:  2010        PMID: 20532304     DOI: 10.1039/c000929f

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  2 in total

1.  The Investigation of Electrochemistry Behaviors of Tyrosinase Based on Directly-Electrodeposited Grapheneon Choline-Gold Nanoparticles.

Authors:  Yaping He; Xiaohui Yang; Quan Han; Jianbin Zheng
Journal:  Molecules       Date:  2017-06-23       Impact factor: 4.411

2.  Nanoengineering of eco-friendly silver nanoparticles using five different plant extracts and development of cost-effective phenol nanosensor.

Authors:  Siwar Jebril; Alaeddine Fdhila; Chérif Dridi
Journal:  Sci Rep       Date:  2021-11-11       Impact factor: 4.379

  2 in total

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