Evidence map›Paper›PMID 39091905›Full record

ReviewADMET & DMPK2024

Label-free and label-based electrochemical detection of disease biomarker proteins.

Tias Febriana Hanifa Lestari, Irkham Irkham, Uji Pratomo, Shabarni Gaffar, Salma Nur Zakiyyah, Isnaini Rahmawati, Seda Nur Topkaya, Yeni Wahyuni Hartati

Abstract readReview
In one paragraph

Review in ADMET & DMPK, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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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

8 authors.

Tias Febriana Hanifa LestariDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, 45363, Indonesia.
Irkham IrkhamDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, 45363, Indonesia.
Uji PratomoDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, 45363, Indonesia.
Shabarni GaffarDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, 45363, Indonesia.
Salma Nur ZakiyyahDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, 45363, Indonesia.
Isnaini RahmawatiDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, 16424, Indonesia.
Seda Nur TopkayaDepartment of Analytical Chemistry, Faculty of Pharmacy, Izmir Katip Celebi University, Turkey.
Yeni Wahyuni HartatiDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, 45363, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Biosensors, analytical devices integrating biological sensing elements with physicochemical transducers, have gained prominence as rapid and convenient tools for monitoring human health status using biochemical analytes. Due to its cost-effectiveness, simplicity, portability, and user-friendliness, electrochemical detection has emerged as a widely adopted method in biosensor applications. Crucially, biosensors enable early disease diagnosis by detecting protein biomarkers associated with various conditions. These biomarkers offer an objective indication of medical conditions that can be accurately observed from outside the patient. Method: This review comprehensively documents both label-free and labelled detection methods in electrochemical biosensor techniques. Label-free detection mechanisms elicit response signals upon analyte molecule binding to the sensor surface, while labelled detection employs molecular labels such as enzymes, nanoparticles, and fluorescent tags. Conclusion: The selection between label-free and labelled detection methods depends on various factors, including the biomolecular compound used, analyte type and biological binding site, biosensor design, sample volume, operational costs, analysis time, and desired detection limit. Focusing on the past six years, this review highlights the application of label-free and labelled electrochemical biosensors for detecting protein biomarkers of diseases.

Indexed as

biomarkerBiosensorelectrochemical detectionprotein detection

Identifiers

PMID39091905
PMCPMC11289512

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.