2013
DOI: 10.1039/c3nr02609d
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Reusable glucose sensing using carbon nanotube-based self-assembly

Abstract: Lipid functionalized single walled carbon nanotube-based self assembly forms a super-micellar structure. This assemblage has been exploited to trap glucose oxidase in a molecular cargo for glucose sensing. The advantage of such a molecular trap is that all components of this unique structure (both the trapping shell and the entrapped enzyme) are reusable and rechargeable. The unique feature of this sensing method lies in the solid state functionalization of single walled carbon nanotubes that facilitates liqui… Show more

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Cited by 23 publications
(18 citation statements)
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“…Due to such re-structuring, a pseudo-micellar structure of the lipid-SWNT complex i.e. nanorope formation [8,18] takes place which is readily soluble in water. The self-assembly collapses upon mild sonication and when it is allowed to re-assemble again in presence of…”
Section: Preparation Of Lipid Functionalized Swntmentioning
confidence: 99%
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“…Due to such re-structuring, a pseudo-micellar structure of the lipid-SWNT complex i.e. nanorope formation [8,18] takes place which is readily soluble in water. The self-assembly collapses upon mild sonication and when it is allowed to re-assemble again in presence of…”
Section: Preparation Of Lipid Functionalized Swntmentioning
confidence: 99%
“…A c c e p t e d M a n u s c r i p t 11 enzymes [8] which are present in the aqueous solvent or buffer; it entraps enzymes into the inner core of the supramolecular self-assembly (nanorope).…”
Section: Page 11 Of 34mentioning
confidence: 99%
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“…by Bhattacharyya et al (2012). The theoretical insight of lipid functionalized SWNT self-assembly (nanorope design) which serve as a molecular machine has been reported previously by Bhattacharyya et al (2013) for developing a reusable glucose sensor. This background has been utilized in our studies for developing and studying a SWNT-laccase system with value-added properties of wide thermal stability and re-usability.…”
Section: Introductionmentioning
confidence: 90%