Evidence map›Paper›PMID 40145795›Full record

ArticleACS nano2025

High-Precision Biochemical Sensing with Resonant Monocrystalline Plasmonic Ag Microcubes in the Mid-Infrared Spectrum.

Aidana Beisenova, Wihan Adi, Shinwon Kang, Kenzie B Germanson, Simon Nam, Samir Rosas, Shovasis Kumar Biswas, Manish S Patankar, Seog-Jin Jeon, Filiz Yesilkoy

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Aidana BeisenovaDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0002-7062-0008
Wihan AdiDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0002-4439-2021
Shinwon KangDepartment of Polymer Science and Engineering, Kumoh National Institute of Technology, Gumi-si, Gyeongbuk 39177, Republic of Korea.ORCID 0009-0002-7163-605X
Kenzie B GermansonDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Simon NamDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Samir RosasDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Shovasis Kumar BiswasDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0003-1956-954X
Manish S PatankarDepartment of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, Wisconsin 53792, United States.
Seog-Jin JeonDepartment of Polymer Science and Engineering, Kumoh National Institute of Technology, Gumi-si, Gyeongbuk 39177, Republic of Korea.
Filiz YesilkoyDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0001-8483-3285

Funding

Metasurface enhanced and machine learning aided spectrochemical liquid biopsyR21EB034411 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI YESILKOY, FILIZ · 2023 to 2025
$595k
NIBIB NIH HHS R21 EB034411
6 · The paper itself

Abstract

Infrared (IR) spectroscopic fingerprinting is a powerful analytical tool for characterizing molecular compositions across biological, environmental, and industrial samples through their specific vibrational modes. Specifically, when the sample is characterized in resonant plasmonic cavities, as in the surface-enhanced mid-IR absorption spectroscopy (SEIRAS), highly sensitive and specific molecular detection can be achieved. However, current SEIRAS techniques rely on nanofabricated subwavelength antennas, limited by low-throughput lithographic processes, lacking scalability to address broad biochemical sensing applications. To address this, we present an on-resonance SEIRAS method utilizing silver (Ag) cubic microparticles (Ag-CMPs) with robust mid-IR plasmonic resonances. These monocrystalline Ag-CMPs, featuring sharp edges and vertices, are synthesized via a high-throughput, wet-chemical process. When dispersed on gold mirror substrates with an aluminum oxide spacer, Ag-CMPs support enhanced near-field light-matter interactions in nanocavities while enabling far-field imaging-based optical interrogation due to their strong extinction cross sections. We demonstrate the detection of polydimethylsiloxane (PDMS) and bovine serum albumin (BSA) monolayers by simply probing individual Ag-CMPs, enabled by the resonant amplification of the characteristic vibrational absorptions. Furthermore, our single-particle SEIRAS (SP-SEIRAS) approach effectively analyzes complex human peritoneal fluid (PF) samples, eliminating the challenges of standard bulk sample measurements. This scalable and efficient SP-SEIRAS method addresses key limitations of IR spectroscopic fingerprinting techniques, unlocking possibilities for their widespread adoption in real-world biochemical sensing applications.

Indexed as

biochemical sensormid-IR imagingmonocrystalline Ag microcubesplasmonic biosensingsurface-enhanced infrared absorption spectroscopy (SEIRAS)vibrational spectroscopy

Identifiers

PMID40145795
PMCPMC12009538

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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.