Evidence map›Paper›PMID 36917265›Full record

ReviewAnalytical and bioanalytical chemistry2023

Affinity-based electrochemical sensors for biomolecular detection in whole blood.

Elizabeth C Wilkirson, Kavya L Singampalli, Jiran Li, Desh Deepak Dixit, Xue Jiang, Diego H Gonzalez, Peter B Lillehoj

Full text readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  12. Machine-Learning-Aided Advanced Electrochemical Biosensors.Advanced materials (Deerfield Beach, Fla.) · 2025
    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

7 authors.

Elizabeth C WilkirsonDepartment of Mechanical Engineering, Rice University, 6100 Main St., Houston, TX, 77005, USA.
Kavya L SingampalliDepartment of Bioengineering, Rice University, 6500 Main St., Houston, TX, 77030, USA.
Jiran LiDepartment of Mechanical Engineering, Rice University, 6100 Main St., Houston, TX, 77005, USA.
Desh Deepak DixitDepartment of Mechanical Engineering, Rice University, 6100 Main St., Houston, TX, 77005, USA.
Xue JiangDepartment of Mechanical Engineering, Rice University, 6100 Main St., Houston, TX, 77005, USA.
Diego H GonzalezDepartment of Bioengineering, Rice University, 6500 Main St., Houston, TX, 77030, USA.
Peter B LillehojDepartment of Mechanical Engineering, Rice University, 6100 Main St., Houston, TX, 77005, USA. lillehoj@rice.edu.ORCID http://orcid.org/0000-0002-0289-2634

Funding

National Science Foundation Award # 1842494
6 · The paper itself

Abstract

The detection and/or quantification of biomarkers in blood is important for the early detection, diagnosis, and treatment of a variety of diseases and medical conditions. Among the different types of sensors for detecting molecular biomarkers, such as proteins, nucleic acids, and small-molecule drugs, affinity-based electrochemical sensors offer the advantages of high analytical sensitivity and specificity, fast detection times, simple operation, and portability. However, biomolecular detection in whole blood is challenging due to its highly complex matrix, necessitating sample purification (i.e., centrifugation), which involves the use of bulky, expensive equipment and tedious sample-handling procedures. To address these challenges, various strategies have been employed, such as purifying the blood sample directly on the sensor, employing micro-/nanoparticles to enhance the detection signal, and coating the electrode surface with blocking agents to reduce nonspecific binding, to improve the analytical performance of affinity-based electrochemical sensors without requiring sample pre-processing steps or laboratory equipment. In this article, we present an overview of affinity-based electrochemical sensor technologies that employ these strategies for biomolecular detection in whole blood.

Indexed as

Biosensing TechniquesNanoparticlesNucleic AcidsBiomarkersElectrochemical TechniquesElectrodesBiomarkersNucleic AcidsBiosensorDiagnosticsElectrochemicalImmunosensorWhole blood

Identifiers

PMID36917265
PMCPMC10011785

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read26
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.