Evidence map›Paper›PMID 35062519›Full record

ArticleSensors (Basel, Switzerland)2022

Graphene Oxide Functionalized Biosensor for Detection of Stress-Related Biomarkers.

Erican Santiago, Shailu Shree Poudyal, Sung Y Shin, Hyeun Joong Yoon

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
1.5field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Erican SantiagoDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA.
Shailu Shree PoudyalDepartment of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD 57006, USA.
Sung Y ShinDepartment of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD 57006, USA.
Hyeun Joong YoonDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931, USA.
Michigan Technological University · USSouth Dakota State University · US

Funding

NASA 80NSSC18M0022
6 · The paper itself

Abstract

A graphene oxide (GO)-based cortisol biosensor was developed to accurately detect cortisol concentrations from sweat samples at point-of-care (POC) sites. A reference electrode, counter electrode, and working electrode make up the biosensor, and the working electrode was functionalized using multiple layers consisting of GO and antibodies, including Protein A, IgG, and anti-Cab. Sweat samples contact the anti-Cab antibodies to transport electrons to the electrode, resulting in an electrochemical current response. The sensor was tested at each additional functionalization layer and at cortisol concentrations between 0.1 and 150 ng/mL to determine how the current response differed. A potentiostat galvanostat device was used to measure and quantify the electrochemical response in the GO-based biosensor. In both tests, the electrochemical responses were reduced in magnitude with the addition of antibody layers and with increased cortisol concentrations. The proposed cortisol biosensor has increased accuracy with each additional functionalization layer, and the proposed device has the capability to accurately measure cortisol concentrations for diagnostic purposes.

Indexed as

Biosensing TechniquesGraphiteBiomarkersElectrochemical TechniquesElectrodesBiomarkersgraphene oxideGraphitebiosensorcortisolelectrochemical sensorgraphene oxidepoint of care

Identifiers

PMID35062519
PMCPMC8777633
OpenAlexW4205751628

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.