Evidence map›Paper›PMID 40837619›Full record

ArticleAdvanced materials interfaces2025

Antibiotic-Mediated Plasmonic-Mie Resonance for Biosensing Applications on a Novel Silicon Nanopillar Metasurface.

Jacob Waitkus, JaeWoo Park, Theodore Ndukaife, Sui Yang, Ke Du

Abstract read
In one paragraph

Article in Advanced materials interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jacob WaitkusChemical and Environmental Engineering, University of California Riverside, Riverside, CA 92521, USA.
JaeWoo ParkMaterial Science and Engineering, School for Engineering of Matter, Transport and Energy Arizona State University, Tempe, AZ85281, USA.
Theodore NdukaifeMaterial Science and Engineering, School for Engineering of Matter, Transport and Energy Arizona State University, Tempe, AZ85281, USA.
Sui YangMaterial Science and Engineering, School for Engineering of Matter, Transport and Energy Arizona State University, Tempe, AZ85281, USA.
Ke DuChemical and Environmental Engineering, University of California Riverside, Riverside, CA 92521, USA.

Funding

Understand and Detect Sepsis: Pathogen Isolation, Biochemistry Assay, and Optofluidic SensingR35GM142763 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI DU, KE · 2021 to 2025
$2.0M
NIGMS NIH HHS R35 GM142763
6 · The paper itself

Abstract

This study demonstrates a biosensing platform facilitated by localized surface plasmonic resonance (LSPR) on a silicon (Si) nanopillar metasurface mediated by the presence of cephalexin (Cef) antibiotics in solution. The metasurface is designed to exhibit narrow quadrupolar Mie resonances that when coupled with bovine serum albumin-coated (BSA-coated) plasmonic gold nanospheres (BSANS) will produce an appreciable redshift at the peak resonance wavelength, occurring only in the presence of the target antibiotic. To optimize the performance of the Si nanopillars, the finite element method is utilized to fine-tune their diameters, heights, and periodicity, along with improvements to the fabrication techniques, under the BSANS-antibiotic binding assay. The metasurface sensor is directly fabricated via a facile photolithographic process using silicon wafers. Through the detection assay, this device exhibited a significant 22 nm wavelength shift resulting from changes to the local refractive index in the presence of the BSANS-antibiotic coupling. This phenomenon is facilitated through the presence of cephalexin down to 0.3 μg mL

Indexed as

antibioticsantimicrobial resistance (AMR)gold nanoparticleslocalized surface plasmon resonance (LSPR)Mie resonancesnanopillar metasurfaces

Identifiers

PMID40837619
PMCPMC12364006

What OpenQuestion holds

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Registered trials

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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.