Evidence map›Paper›PMID 36290964›Full record

ReviewBiosensors2022

Emerging Applications of Electrochemical Impedance Spectroscopy in Tear Film Analysis.

Berin Ozdalgic, Munire Gul, Zihni Onur Uygun, Nazente Atçeken, Savas Tasoglu

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

5 authors.

Berin OzdalgicDepartment of Mechanical Engineering, Engineering Faculty, Koç University, Istanbul 34450, Türkiye.
Munire GulKoç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Türkiye.ORCID 0000-0001-9759-7568
Zihni Onur UygunDepartment of Mechanical Engineering, Engineering Faculty, Koç University, Istanbul 34450, Türkiye.ORCID 0000-0001-9045-7271
Nazente AtçekenKoç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Türkiye.ORCID 0000-0002-2020-9659
Savas TasogluDepartment of Mechanical Engineering, Engineering Faculty, Koç University, Istanbul 34450, Türkiye.ORCID 0000-0003-4604-217X

Funding

Alexander von Humboldt Foundation Research Fellowship for Experienced ResearchersMarie Skłodowska-Curie Individual Fellowship 101003361Royal Academy Newton-Katip Çelebi Transforming Systems Through Partnership Award 120N019Scientific and Technological Research Council of Turkey 118C391
6 · The paper itself

Abstract

Human tear film, with a flow rate of 1-3 µL/min, is a rich bodily fluid that transmits a variety of metabolites and hormones containing proteins, lipids and electrolytes that provide clues about ocular and systemic diseases. Analysis of disease biomarkers such as proteins, mRNA, enzymes and cytokines in the tear film, collected by noninvasive methods, can provide significant results for sustaining a predictive, preventive and personalized medicine regarding various diseases such as glaucoma, diabetic retinopathy, keratoconus, dry eye, cancer, Alzheimer's disease, Parkinson's disease and COVID-19. Electrochemical impedance spectroscopy (EIS) offers a powerful technique for analyzing these biomarkers. EIS detects electrical equivalent circuit parameters related to biorecognition of receptor-analyte interactions on the electrode surface. This method is advantageous as it performs a label-free detection and allows the detection of non-electroactive compounds that cannot be detected by direct electron transfer, such as hormones and some proteins. Here, we review the opportunities regarding the integration of EIS into tear fluid sampling approaches.

Indexed as

COVID-19Dielectric SpectroscopyBiomarkersCytokinesHormonesHumansLipidsRNA, MessengerBiomarkersCytokinesHormonesLipidsRNA, Messengerbiosensingelectrochemical impedance spectroscopyocular diagnosissystemic disease diagnosistear fluid

Identifiers

PMID36290964
PMCPMC9599721

What OpenQuestion holds

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LicenceCC BY
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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.