Self-assembled vertically aligned gold nanorod super-lattices for ultra-high sensitive detection of molecules
Title | Self-assembled vertically aligned gold nanorod super-lattices for ultra-high sensitive detection of molecules |
Publication Type | Journal Article |
Year of Publication | 2015 |
Authors | Apte, A, Bhaskar, P, Das, R, Chaturvedi, S, Poddar, P, Kulkarni, S |
Journal | Nano Research |
Volume | 8 |
Issue | 3 |
Pagination | 907-919 |
Date Published | MAR |
ISSN | 1998-0124 |
Keywords | Nanostructures, Raman spectroscopy, self-assemblies, sensors, superlattices |
Abstract | We show that self-assembled vertically aligned gold nanorod (VA-GNRs) superlattices can serve as probes or substrates for ultra-high sensitive detection of various molecules. D-glucose and 2,4,6-trinitrotoluene (TNT) have been chosen as model systems due to their very low Raman cross-sections (5.6 x 10(-30) cm(2).molecule(-1).sr(-1) for D-glucose and 4.9 x 10(-31) cm(2). molecule(-1).sr(-1) for TNT) to show that the VA-GNR superlattice assembly offers as low as yoctomole sensitivity. Our experiment on mixed samples of bovine serum albumin (BSA) and D-glucose solutions demonstrate sensitivity for the latter, and the possible extension to real samples. Self-assembled superlattices of VA-GNRs were achieved on a silicon wafer by depositing a drop of solvent containing the GNRs and subsequent solvent evaporation in ambient conditions. An additional advantage of the VA-GNR monolayers is their extremely high reproducible morphology accompanied by ultrahigh sensitivity which will be useful in many fields where a very small amount of analyte is available. Moreover the assembly can be reused a number of times after removing the already present molecules. The method of obtaining VA-GNRs is simple, inexpensive and reproducible. With the help of simulations of monolayers and multilayers it has been shown that superlattices can achieve better sensitivity than monolayer assembly of VA-GNRs. |
DOI | 10.1007/s12274-014-0572-2 |
Type of Journal (Indian or Foreign) | Foreign |
Impact Factor (IF) | 8.893 |