Evidence map›Paper›PMID 39310163›Full record

ArticleACS omega2024

A Simple and Sensitive Wearable SERS Sensor Utilizing Plasmonic-Active Gold Nanostars.

Supriya Atta, Yuanhao Zhao, Sebastian Sanchez, Tuan Vo-Dinh

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Photonic Nanomaterials for Wearable Health Solutions.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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

4 authors.

Supriya AttaFitzpatrick Institute for Photonics, Duke University, Durham, North Carolina 27708, United States.ORCID https://orcid.org/0000-0001-5489-268X
Yuanhao ZhaoFitzpatrick Institute for Photonics, Duke University, Durham, North Carolina 27708, United States.
Sebastian SanchezDepartment of Chemistry, Duke University, Durham, North Carolina 27708, United States.
Tuan Vo-DinhFitzpatrick Institute for Photonics, Duke University, Durham, North Carolina 27708, United States.ORCID https://orcid.org/0000-0003-3701-3326

Funding

RAPID System for Early Detection of Head and Neck Cancer in Low-Resource SettingsR01DE030455 · NIDCR · DUKE UNIVERSITY · PI WALTER Tsong LEE, Tuan Vo-Dinh · 2022 to 2026
$2.7M
Integrated Acoustofluidic Plasmonic Molecular Diagnostic System for Detecting MicroRNA BiomarkersR01GM135486 · NIGMS · DUKE UNIVERSITY · PI VO-DINH, TUAN · 2020 to 2023
$1.8M
NIDCR NIH HHS R01 DE030455NIGMS NIH HHS R01 GM135486
6 · The paper itself

Abstract

Wearable sweat sensors hold great potential for offering detailed health insights by monitoring various biomarkers present in sweat, such as glucose, lactate, uric acid, and urea, in real time. However, most previously reported sensors, primarily based on electrochemical technology, are limited to monitoring only a single analyte at a given time. This study introduces a simple, sensitive, wearable patch based on surface-enhanced Raman spectroscopy (SERS), integrated with highly plasmonically active sharp-branched gold nanostars (GNS) for the simultaneous detection of three sweat biomarkers: lactate, urea, and glucose. We have fabricated the GNS on commercially available adhesive tape, resulting in achieving a low-cost, flexible, and adhesive wearable SERS patch. The limits of detection for lactate, urea, and glucose were achieved at 0.7, 0.6, and 0.7 μM, respectively, which are significantly lower than the clinically relevant concentrations of these biomarkers in sweat. We further evaluated the performance of our wearable SERS patch during outdoor activities, including sitting, walking, and running. To evaluate its overall effectiveness, we simultaneously measured the concentrations of lactate, urea, and glucose during these activities. Overall, our simple, sensitive wearable SERS sensor represents a significant breakthrough by enabling the simultaneous detection of lactate, urea, and glucose present in sweat, marking a major step toward future applications in autonomous and noninvasive personalized healthcare monitoring at home.

Identifiers

PMID39310163
PMCPMC11411535

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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.