Evidence map›Paper›PMID 41133789›Full record

ArticleThe Analyst2025

Identifying and minimizing primary sources of temporal broadening in online affinity micro free-flow electrophoresis.

Gretchen S Burke, Michael T Bowser

Abstract read
In one paragraph

Article in The Analyst, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Gretchen S BurkeDepartment of Chemistry, University of Minnesota, 207 Pleasant Street SE, Minneapolis, Minnesota 55455, USA. bowser@umn.edu.ORCID http://orcid.org/0009-0004-9474-7259
Michael T BowserDepartment of Chemistry, University of Minnesota, 207 Pleasant Street SE, Minneapolis, Minnesota 55455, USA. bowser@umn.edu.ORCID http://orcid.org/0000-0002-1570-2414

Funding

Online Affinity Micro Free Flow Electrophoresis Assays for Continuous Monitoring of Biochemical MessengersR01GM145956 · NIGMS · UNIVERSITY OF MINNESOTA · PI BOWSER, MICHAEL T · 2022 to 2025
$1.2M
NIGMS NIH HHS R01 GM145956
6 · The paper itself

Abstract

Affinity micro free-flow electrophoresis (μFFE) takes advantage of continuous separations to enable real-time measurements in biological systems. Competitive immunoassay reagents are mixed online and streamed into the μFFE device, where bound and free labelled species are separated in real-time based on their electrophoretic mobility. In the current manuscript we optimized the affinity μFFE platform to minimize the response time of the assay. Analyte response time was improved by (1) mitigating temporal broadening as analyte transited the fluidic system and (2) reducing surface adsorption. Fast iteration of the microfluidic parameters enabled optimization of temporal broadening due to longitudinal diffusion and parabolic flow. Minimizing incubation capillary length while ensuring adequate equilibration time for the competitive immunoassay improved rise times from 25-seconds to 9-seconds, a 2.7-fold improvement in temporal response. The response time of the assay worsened when immunoassay reagents were incorporated due to peptide surface adsorption. Dynamic coating with 0.005% w/v bovine serum albumin was shown to mitigate surface adsorption without interfering with the binding and separation of the immunoassay components, resulting in 2.8-fold improvement in overall signal and 2-fold improvement in temporal response, which improved from 61 seconds to 30 seconds.

Indexed as

ElectrophoresisAdsorptionAnimalsCattleImmunoassaySerum Albumin, BovineTime FactorsSerum Albumin, Bovine

Identifiers

PMID41133789
PMCPMC12584990

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.