Abstract
Existing nanowire electrical characterization tools not only are expensive and require sophisticated facilities, but are far too slow to enable statistical characterization of highly variable samples. They are also generally not compatible with further sorting and processing of nanowires. Here, we demonstrate a high-throughput, solution-based electro-orientation-spectroscopy (EOS) method, which is capable of automated electrical characterization of individual nanowires by direct optical visualization of their alignment behavior under spatially uniform electric fields of different frequencies. We demonstrate that EOS can quantitatively characterize the electrical conductivities of nanowires over a 6-order-of-magnitude range (10-5 to 10 S m-1, corresponding to typical carrier densities of 1010-1016 cm-3), with different fluids used to suspend the nanowires. By implementing EOS in a simple microfluidic device, continuous electrical characterization is achieved, and the sorting of nanowires is demonstrated as a proof-of-concept. With measurement speeds two orders of magnitude faster than direct-contact methods, the automated EOS instrument enables for the first time the statistical characterization of highly variable 1D nanomaterials.
Original language | English |
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Pages (from-to) | 2126-2134 |
Number of pages | 9 |
Journal | Lab on a Chip |
Volume | 16 |
Issue number | 11 |
DOIs | |
State | Published - 2016 |
Funding
This work of CA and JWS was supported in part by the National Science Foundation (CBET 0644719) and by the Chemical and Biological Technologies Department of the Defense Threat Reduction Agency (DTRA-CB) via grant BA12PHM123 in the "Dynamic Multifunctional Materials for a Second Skin D[MS]2" program. HYH and MAF acknowledge the support of the National Science Foundation (CBET 1150755). Four-probe STM measurements (C. D., S. M. H., and A.-P. L.) were conducted at the Center for Nanophase Materials Sciences, which is sponsored at Oak Ridge National Laboratory by the Scientific User Facilities Division, Office of Basic Energy Sciences, U.S. Department of Energy.
Funders | Funder number |
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Chemical and Biological Technologies Department | |
DTRA-CB | CBET 1150755, BA12PHM123 |
Scientific User Facilities Division | |
National Science Foundation | CBET 0644719 |
U.S. Department of Energy | |
Defense Threat Reduction Agency | |
Basic Energy Sciences | |
Oak Ridge National Laboratory |