dc.contributor.author | Cermak, Nathan | |
dc.contributor.author | Olcum, Selim A. | |
dc.contributor.author | Manalis, Scott R | |
dc.contributor.author | Wasserman, Steven | |
dc.date.accessioned | 2015-05-12T18:32:59Z | |
dc.date.available | 2015-05-12T18:32:59Z | |
dc.date.issued | 2015-05 | |
dc.date.submitted | 2014-11 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/96968 | |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | United States. Army Research Office (Grant W911NF-09-0001) | en_US |
dc.description.sponsorship | Center for Integration of Medicine and Innovative Technology (Contract 09-440) | en_US |
dc.description.sponsorship | National Science Foundation (U.S.) (Grant 1129359) | en_US |
dc.language.iso | en_US | |
dc.publisher | Nature Publishing Group | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1038/ncomms8070 | en_US |
dc.rights | Creative Commons Attribution | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | Nature | en_US |
dc.title | High-speed multiple-mode mass-sensing resolves dynamic nanoscale mass distributions | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Olcum, Selim et al. “High-Speed Multiple-Mode Mass-Sensing Resolves Dynamic Nanoscale Mass Distributions.” Nature Communications 6 (2015): 7070. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Computational and Systems Biology Program | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | en_US |
dc.contributor.mitauthor | Olcum, Selim | en_US |
dc.contributor.mitauthor | Manalis, Scott R. | en_US |
dc.contributor.mitauthor | Cermak, Nathan | en_US |
dc.contributor.mitauthor | Wasserman, Steven Charles | en_US |
dc.relation.journal | Nature Communications | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Olcum, Selim; Cermak, Nathan; Wasserman, Steven C.; Manalis, Scott R. | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-5223-9433 | |
dc.identifier.orcid | https://orcid.org/0000-0002-5866-4606 | |
dc.identifier.orcid | https://orcid.org/0000-0001-5277-6060 | |
mit.license | PUBLISHER_CC | en_US |
mit.metadata.status | Complete | |