Evidence map›Paper›PMID 37955441›Full record

ArticleACS sensors2023

Sandwich Immunosensor Based on Particle Motion: How Do Reactant Concentrations and Reaction Pathways Determine the Time-Dependent Response of the Sensor?

Claire M S Michielsen, Alissa D Buskermolen, Arthur M de Jong, Menno W J Prins

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Article in ACS sensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

4 authors.

Claire M S MichielsenDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AE, The Netherlands.ORCID 0000-0002-8580-8695
Alissa D BuskermolenDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AE, The Netherlands.ORCID 0000-0003-1768-4384
Arthur M de JongDepartment of Applied Physics, Eindhoven University of Technology, Eindhoven 5612 AE, The Netherlands.ORCID 0000-0001-6019-7333
Menno W J PrinsDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AE, The Netherlands.ORCID 0000-0002-9788-7298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To control and optimize the speed of a molecular biosensor, it is crucial to quantify and understand the mechanisms that underlie the time-dependent response of the sensor. Here, we study how the kinetic properties of a particle-based sandwich immunosensor depend on underlying parameters, such as reactant concentrations and the size of the reaction chamber. The data of the measured sensor responses could be fitted with single-exponential curves, with characteristic response times that depend on the analyte concentration and the binder concentrations on the particle and substrate. By comparing characteristic response times at different incubation configurations, the data clarifies how two distinct reaction pathways play a role in the sandwich immunosensor, namely, analyte binding first to particles and thereafter to the substrate, and analyte binding first to the substrate and thereafter to a particle. For a concrete biosensor design, we found that the biosensor is dominated by the reaction pathway where analyte molecules bind first to the substrate and thereafter to a particle. Within this pathway, the binding of a particle to the substrate-bound analyte dominates the sensor response time. Thus, the probability of a particle interacting with the substrate was identified as the main direction to improve the speed of the biosensor while maintaining good sensitivity. We expect that the developed immunosensor and research methodology can be generally applied to understand the reaction mechanisms and optimize the kinetic properties of sandwich immunosensors with particle labels.

Indexed as

Biosensing TechniquesImmunoassaybinder densitiesbiosensor kineticsparticle-based biosensingreaction pathwaysresponse timesandwich immunosensor

Identifiers

PMID37955441
PMCPMC10683507

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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.