Evidence map›Paper›PMID 42109495›Full record

ArticleThe journal of physical chemistry. C, Nanomaterials and interfaces2024

Plasmonic Gold Prism Array for Digital Surface-Enhanced Raman Spectroscopy Sensing.

Peng Zheng, Lintong Wu, Ishan Barman

Abstract read
In one paragraph

Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Peng ZhengDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States.
Lintong WuDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States.
Ishan BarmanDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States.

Funding

Next-generation optical nanoprobes: From quantum biosensing to cellular monitoringR35GM149272 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ISHAN BARMAN · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM149272
6 · The paper itself

Abstract

While surface-enhanced Raman spectroscopy (SERS) has proved itself as a powerful tool in the analytical domain, its capability hinges on, and therefore, is governed by the interaction between molecules and plasmonic hotspots on nanostructured metallic substrates. Yet, the highly dynamic and complex molecule-metal interactions give rise to pronounced SERS signal fluctuations, compromising quantitative analysis at ultralow molecular concentrations. Rather than overcoming SERS signal fluctuations, the recently introduced digital SERS approach takes full advantage of their stochastic nature and allows digitalized visualization of SERS events at the single pixel level based on a predefined signal threshold, significantly pushing down the lowest detectable molecular concentration. Nevertheless, extending digital SERS for routine molecular analysis requires superior two-dimensional plasmonic substrates. Herein, we introduce a plasmonic gold prism array for digital SERS sensing. As opposed to nanostructured metallic arrays with similar geometry where the vertex and edge modes dominate, the gold prism array displays strong scattering as well as pronounced surface roughness and nanoparticle-like surface features, thus supporting additional plasmonic enhancements beyond the vertex and edge modes. Using 4-aminothiophenol as a model molecule, we first verify the counterintuitive distribution of SERS hotspots at the center of a gold prism instead of its vertices, and further demonstrate digital SERS sensing at the femtomolar level. We envision that the gold prism array could serve as a superior plasmonic platform for a wide range of digital SERS applications in diagnostics, environmental monitoring, and food safety.

Indexed as

Digital SERSGold Prism ArrayPlasmonicsRaman SpectroscopySensing

Identifiers

PMID42109495
PMCPMC13155457

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.