Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 340

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Quantitative multispectral biosensing and 1D imaging using quasi-3D plasmonic crystals

Stewart, Matthew E., Mack, Nathan H., Malyarchuk, Viktor, Soares, Julio A. N. T., Lee, Tae-Woo, Gray, Stephen K., Nuzzo, Ralph G., Rogers, John A.·2006·Proceedings of the National Academy of Sciences

Abstract

We developed a class of quasi-3D plasmonic crystal that consists of multilayered, regular arrays of subwavelength metal nanostructures. The complex, highly sensitive structure of the optical transmission spectra of these crystals makes them especially well suited for sensing applications. Coupled with quantitative electrodynamics modeling of their optical response, they enable full multiwavelength spectroscopic detection of molecular binding events with sensitivities that correspond to small fractions of a monolayer. The high degree of spatial uniformity of the crystals, formed by a soft nanoimprint technique, provides the ability to image binding events over large areas with micrometer spatial resolution. These features, together with compact form factors, low-cost fabrication procedures, simple readout apparatus, and ability for direct integration into microfluidic networks and arrays, suggest promise for these devices in label-free bioanalytical detection systems.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.0606216103

Cites

31 of 31 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 31 references

Cited by

See all 340

Metadata

Authors
Stewart, M. E., Mack, N. H., Malyarchuk, V., Soares, J. A. N. T., Lee, T.-W., Gray, S. K., Nuzzo, R. G., & Rogers, J. A.
Venue
Proceedings of the National Academy of Sciences
Published
2006-11-14
Volume
103
Issue
46
Pages
17143-17148
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1976499829
Cited by
340
References
31
FWCI
13.65
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: Quantitative multispectral biosensing and 1D imaging using quasi-3D plasmonic crystals. https://app.cochat.ai/papers/10.1073/pnas.0606216103
The paper
Stewart, M. E., Mack, N. H., Malyarchuk, V., Soares, J. A. N. T., Lee, T.-W., Gray, S. K., Nuzzo, R. G., & Rogers, J. A. (2006). Quantitative multispectral biosensing and 1D imaging using quasi-3D plasmonic crystals. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0606216103

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.