Evidence map›Paper›PMID 38525448›Full record

ArticleAdvanced functional materials2023

A highly sensitive and long-term stable wearable patch for continuous analysis of biomarkers in sweat.

Farnaz Lorestani, Xianzhe Zhang, Abu Musa Abdullah, Xin Xin, Yushen Liu, Mashfiqur Rahman, Md Abu Sayeed Biswas, Bowen Li, Ankan Dutta, Zhenyuan Niu and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Advanced functional materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
10.7field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 98 citations in OpenAlex.

  1. Review
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  10. Article
  11. Article
  12. Article
  13. From Lab to Life: Self-Powered Sweat Sensors and Their Future in Personal Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  14. Review
  15. Advances in 2D materials for wearable biomonitoring.Materials science & engineering. R, Reports : a review journal · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Heterogeneous CuNano-micro letters · 2024
    Article
  20. Article
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

14 authors at 1 institution in 1 country.

Farnaz LorestaniDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Xianzhe ZhangDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Abu Musa AbdullahDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Xin XinDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Yushen LiuDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Mashfiqur RahmanDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Md Abu Sayeed BiswasDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Bowen LiDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Ankan DuttaDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Zhenyuan NiuDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Shuvendu DasDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Shishir BaraiDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Ke WangMaterials Research Institute, The Pennsylvania State University, University Park, PA 16802.
Huanyu ChengDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA,16802, USA.
Pennsylvania State University · US

Funding

Cross-Disciplinary Neural Engineering (CDNE) Training ProgramT32NS115667 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI GLUCKMAN, BRUCE J · 2021 to 2025
$1.1M
Smart skin grafts for quantitative assessment and treatment of diabetic woundsR21EB030140 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHENG, HUANYU · 2021 to 2021
$620k
Wearable, Graphene-based Flexible Sensors for Chronic Monitoring of Venous Thromboembolism for High-Risk PatientsR33HL154215 · NHLBI · ACTUATED MEDICAL, INC. · PI BAGWELL, ROGER BROOKS · 2022 to 2022
$396k
NHLBI NIH HHS R33 HL154215NIBIB NIH HHS R21 EB030140NINDS NIH HHS T32 NS115667NIOSH CDC HHS R21 OH012220
6 · The paper itself

Abstract

Although increasing efforts have been devoted to the development of non-invasive wearable or stretchable electrochemical sweat sensors for monitoring physiological and metabolic information, most of them still suffer from poor stability and specificity over time and fluctuating temperatures. This study reports the design and fabrication of a long-term stable and highly sensitive flexible electrochemical sensor based on nanocomposite-modified porous graphene by simple and facile laser treatment for detecting biomarkers such as glucose in sweat. The laser-reduced and patterned stable conductive nanocomposite on the porous graphene electrode provides the resulting glucose sensor with an excellent sensitivity of 1317.69 μAmM

Indexed as

accurate glucose sensing calibrated by pH and temperatureflexible electrochemical biosensorslaser treatment and patterninglong-term stabilityporous graphene nanocomposite electrode

Identifiers

PMID38525448
PMCPMC10959519
OpenAlexW4386753395

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.