Evidence map›Paper›PMID 37232880›Full record

ArticleBiosensors2023

Amperometric Biosensor for Quantitative Measurement Using Sandwich Immunoassays.

Thor Pedersen, Peter Fojan, Anne Kathrine Nissen Pedersen, Nils E Magnusson, Leonid Gurevich

Abstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  5. Article
  6. 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

5 authors.

Thor PedersenDepartment of Materials and Production, Aalborg University, Skjernvej 4A, 9220 Aalborg, Denmark.
Peter FojanDepartment of Materials and Production, Aalborg University, Skjernvej 4A, 9220 Aalborg, Denmark.ORCID 0000-0002-0626-4766
Anne Kathrine Nissen PedersenMedical Research Laboratory, Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, 8200 Aarhus, Denmark.ORCID 0000-0002-3202-2269
Nils E MagnussonBiostrip APS, Lindevangsvej 10, 8240 Risskov, Denmark.ORCID 0000-0002-9614-0133
Leonid GurevichDepartment of Materials and Production, Aalborg University, Skjernvej 4A, 9220 Aalborg, Denmark.ORCID 0000-0002-5777-2541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

State-of-the-art clinical detection methods typically involve standard immunoassay methods, requiring specialized equipment and trained personnel. This impedes their use in the Point-of-Care (PoC) environment, where ease of operation, portability, and cost efficiency are prioritized. Small, robust electrochemical biosensors provide a means with which to analyze biomarkers in biological fluids in PoC environments. Optimized sensing surfaces, immobilization strategies, and efficient reporter systems are key to improving biosensor detection systems. The signal transduction and general performance of electrochemical sensors are determined by surface properties that link the sensing element to the biological sample. We analyzed the surface characteristics of screen-printed and thin-film electrodes using scanning electron microscopy and atomic force microscopy. An enzyme-linked immunosorbent assay (ELISA) was adapted for use in an electrochemical sensor. The robustness and reproducibility of the developed electrochemical immunosensor were investigated by detecting Neutrophil Gelatinase-Associated Lipocalin (NGAL) in urine. The sensor showed a detection limit of 1 ng/mL, a linear range of 3.5-80 ng/mL, and a CV% of 8%. The results demonstrate that the developed platform technology is suitable for immunoassay-based sensors on either screen-printed or thin-film gold electrodes.

Indexed as

Biosensing TechniquesElectrochemical TechniquesElectrodesEnzyme-Linked Immunosorbent AssayGoldImmunoassayReproducibility of ResultsGoldbiosensorelectrochemical sensingimmunoassayscreen printed electrodesurface characteristics

Identifiers

PMID37232880
PMCPMC10216821

What OpenQuestion holds

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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.