The DOI matches its Crossref record.
Zeptogram-Scale Nanomechanical Mass Sensing
Abstract
Very high frequency (VHF) nanoelectromechanical systems (NEMS) provide unprecedented sensitivity for inertial mass sensing. We demonstrate in situ measurements in real time with mass noise floor approximately 20 zg. Our best mass resolution corresponds to approximately 7 zg, equivalent to approximately 30 xenon atoms or the mass of an individual 4 kDa molecule. Detailed analysis of the ultimate sensitivity of such devices based on these experimental results indicates that NEMS can ultimately provide inertial mass sensing of individual intact, electrically neutral macromolecules with single-Dalton (1 amu) resolution.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Weighing of biomolecules, single cells and single nanoparticles in fluid
Burg, T. P., Godin, M., Knudsen, S. M., Shen, W., Carlson, G., Foster, J. S., Babcock, K., & Manalis, S. R. (2007) · Nature · doi:10.1038/nature05741 · Cited by 1,213
Micro- and nanomechanical sensors for environmental, chemical, and biological detection
Waggoner, P. S., & Craighead, H. G. (2007) · Lab on a Chip · doi:10.1039/b707401h · Cited by 678
Wafer-scale Reduced Graphene Oxide Films for Nanomechanical Devices
Robinson, J. T., Zalalutdinov, M., Baldwin, J. W., Snow, E. S., Wei, Z., Sheehan, P., & Houston, B. H. (2008) · Nano Letters · doi:10.1021/nl8023092 · Cited by 426
Very High Frequency Silicon Nanowire Electromechanical Resonators
Feng, X. L., He, R., Yang, P., & Roukes, M. L. (2007) · Nano Letters · doi:10.1021/nl0706695 · Cited by 401
Self-citationNanosensors for trace explosive detection
Senesac, L., & Thundat, T. G. (2008) · Materials Today · doi:10.1016/s1369-7021(08)70017-8 · Cited by 368
Metadata
- Authors
- Yang, Y. T., Callegari, C., Feng, X. L., Ekinci, K. L., & Roukes, M. L.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-03-15
- Volume
- 6
- Issue
- 4
- Pages
- 583-586
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2129434196
- Cited by
- 1,041
- References
- 0
- FWCI
- 38.45
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Zeptogram-Scale Nanomechanical Mass Sensing. https://app.cochat.ai/papers/10.1021/nl052134m
- The paper
- Yang, Y. T., Callegari, C., Feng, X. L., Ekinci, K. L., & Roukes, M. L. (2006). Zeptogram-Scale Nanomechanical Mass Sensing. Nano Letters. https://doi.org/10.1021/nl052134m
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
