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|a dc
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|a Cermak, Nathan
|e author
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|a Massachusetts Institute of Technology. Computational and Systems Biology Program
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|a Massachusetts Institute of Technology. Department of Biological Engineering
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|a Massachusetts Institute of Technology. Department of Mechanical Engineering
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|a Koch Institute for Integrative Cancer Research at MIT
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|a Olcum, Selim
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|a Manalis, Scott R.
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|a Cermak, Nathan
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|a Wasserman, Steven Charles
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|a Olcum, Selim A.
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|a Manalis, Scott R
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|a Wasserman, Steven
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|a High-speed multiple-mode mass-sensing resolves dynamic nanoscale mass distributions
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|b Nature Publishing Group,
|c 2015-05-12T18:32:59Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/96968
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|a Simultaneously measuring multiple eigenmode frequencies of nanomechanical resonators can determine the position and mass of surface-adsorbed proteins, and could ultimately reveal the mass tomography of nanoscale analytes. However, existing measurement techniques are slow (<1 Hz bandwidth), limiting throughput and preventing use with resonators generating fast transient signals. Here we develop a general platform for independently and simultaneously oscillating multiple modes of mechanical resonators, enabling frequency measurements that can precisely track fast transient signals within a user-defined bandwidth that exceeds 500 Hz. We use this enhanced bandwidth to resolve signals from multiple nanoparticles flowing simultaneously through a suspended nanochannel resonator and show that four resonant modes are sufficient for determining their individual position and mass with an accuracy near 150 nm and 40 attograms throughout their 150-ms transit. We envision that our method can be readily extended to other systems to increase bandwidth, number of modes, or number of resonators.
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|a United States. Army Research Office (Grant W911NF-09-0001)
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|a Center for Integration of Medicine and Innovative Technology (Contract 09-440)
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|a National Science Foundation (U.S.) (Grant 1129359)
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|a en_US
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|a Article
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|t Nature Communications
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