Biomedical Engineering Reference
In-Depth Information
For its potential bioelectroanalytical and biomedical application,
integration of carbon nanostructures such as CNTs and graphene
nanosheets with biomolecules such as redox enzyme is highly
anticipated. Therein, carbon nanostructures are expected to act
not only as an electron transfer promoter or mediator, but also as
substrates for biomolecules immobilization. Based on ionic liquid-
backbone, a novel immobilization method for biomolecules on
carbon nanostructures could also be achieved via ionic interaction,
which is of universality and widespread use in biological system.
As illustrated, glucose oxidase (GOD) and SWNTs and graphene
nanosheets were integrated into one bionanocomposite with the aid
of ionic liquid-like unit on functionalized SWNTs [59] or PFIL wrapped
Polyvinylpyrrolidone (PPV)-graphene [60]. Results indicated that
the ionic liquid-like unit on SWNTs, which did not depend on pH,
would provide an extra and stronger ionic affinity between SWNTs
and GOD so as to enhance the loading efficiency of GOD on SWNTs
(Fig. 4.16). The direct electrochemistry of GOD was also achieved on
PFIL wrapped Polyvinylpyrrolidone (PVP)-graphene (Fig. 4.16a).
Moreover, in these novel graphene-bionanocomposites, the specific
substrate-enzyme bioactivity of GOD in the bionanocomposites
was reserved, which could be utilized to build the electrochemical
biosensor toward detection of glucose (Fig. 4.16b).
Illustration of the preparation procedures of CNT-IL-Au
Reprinted from Carbon, 46, Wang, Z., Zhang, Q., Kuehner, D., Xu, X., Ivaska, A.,
and Niu, L., The synthesis of ionic-liquid-functionalized multiwalled carbon
nanotubes decorated with highly dispersed Au nanoparticles and their use
in oxygen reduction by electrocatalysis, 1687-1692, copyright 2008, with
permission from Elsevier.
Figure 4.17
Similarly, nanoparticles (NPs) could also be integrated in to
nanocomposites based on the ILs-backbone. The approach involved
the functionalization of CNTs with amine-terminated ILs and in
 
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