The DOI matches its Crossref record.
Suspended microchannel resonators for biomolecular detection
Open accessAbstract
We present a resonant mass sensor for specific biomolecular detection in a subnanoliter fluid volume. The sensing principle is based on measuring shifts in resonance frequency of a suspended microfluidic channel upon accumulation of molecules on the inside walls of the device. Confining the fluid to the inside of a hollow cantilever enables direct integration with conventional microfluidic systems, significantly increases sensitivity by eliminating high damping and viscous drag, and allows the resonator to be actuated by electrostatic forces. Fluid density measurements reveal a mass resolution of 10−17 g/μm2 in a 4 mHz–4 Hz bandwidth. To demonstrate biomolecular detection, we present real-time measurements of the specific binding between avidin and biotinylated bovine serum albumin. Based on these measurements, we expect that changes in surface mass loading on the order of 10−19 g/μm2 can be detected in an optimized system.
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
El-Ali, J., Sorger, P. K., & Jensen, K. F. (2006) · Nature · doi:10.1038/nature05063 · Cited by 2,102
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
Self-citationMicro- 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
Metadata
- Authors
- Burg, T. P., & Manalis, S. R.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2003-09-29
- Volume
- 83
- Issue
- 13
- Pages
- 2698-2700
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W1968252691
- Cited by
- 237
- References
- 0
- FWCI
- 7.71
- Type
- journal article
- Language
- en
- Open access
- green
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: Suspended microchannel resonators for biomolecular detection. https://app.cochat.ai/papers/10.1063/1.1611625
- The paper
- Burg, T. P., & Manalis, S. R. (2003). Suspended microchannel resonators for biomolecular detection. Applied Physics Letters. https://doi.org/10.1063/1.1611625
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.