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Cited by 565

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Zeptomol Detection Through Controlled Ultrasensitive Surface-Enhanced Raman Scattering

Rodríguez-Lorenzo, Laura, Álvarez-Puebla, Ramón A., Pastoriza-Santos, Isabel, Mazzucco, Stefano, Stéphan, Odile, Kociak, Mathieu, Liz-Marzán, Luis M., García de Abajo, F. Javier·2009·Journal of the American Chemical Society

Abstract

SERS permits identifying the nature of molecules in extremely low concentrations, but it is hindered by poor enhancement or low reproducibility. We demonstrate controllable approximately 10(10) signal amplification reaching the zeptomol detection limit for a nonresonant molecule by sandwiching the analyte between the tips of star-shaped gold nanoparticles and a planar gold surface using a simple synthetic procedure. This unprecedented control over light-intensity amplification opens a new avenue toward high-yield, fully reproducible, SERS-based, zeptomol detection and holds promise for nonlinear optics applications at the single-particle level.

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Metadata

Authors
Rodríguez-Lorenzo, L., Álvarez-Puebla, R. A., Pastoriza-Santos, I., Mazzucco, S., Stéphan, O., Kociak, M., Liz-Marzán, L. M., & García de Abajo, F. J.
Venue
Journal of the American Chemical Society
Published
2009-03-17
Volume
131
Issue
13
Pages
4616-4618
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2034446591
Cited by
565
References
0
FWCI
19.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Zeptomol Detection Through Controlled Ultrasensitive Surface-Enhanced Raman Scattering. https://app.cochat.ai/papers/10.1021/ja809418t
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Rodríguez-Lorenzo, L., Álvarez-Puebla, R. A., Pastoriza-Santos, I., Mazzucco, S., Stéphan, O., Kociak, M., Liz-Marzán, L. M., & García de Abajo, F. J. (2009). Zeptomol Detection Through Controlled Ultrasensitive Surface-Enhanced Raman Scattering. Journal of the American Chemical Society. https://doi.org/10.1021/ja809418t

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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.