Evidence map›Paper›PMID 38967449›Full record

ArticleACS sensors2024

Molecular Origins of Long-Term Changes in a Competitive Continuous Biosensor with Single-Molecule Resolution.

Sebastian Cajigas, Arthur M de Jong, Junhong Yan, Menno W J Prins

Abstract read
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

4 authors.

Sebastian CajigasHelia Biomonitoring, 5612 AR Eindhoven, The Netherlands.ORCID 0000-0003-4345-0872
Arthur M de JongDepartment of Applied Physics, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.ORCID 0000-0001-6019-7333
Junhong YanHelia Biomonitoring, 5612 AR Eindhoven, The Netherlands.
Menno W J PrinsHelia Biomonitoring, 5612 AR Eindhoven, The Netherlands.ORCID 0000-0002-9788-7298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensing by particle motion is a biosensing technology that relies on single-molecule interactions and enables the continuous monitoring of analytes from picomolar to micromolar concentration levels. However, during sensor operation, the signals are observed to change gradually. Here, we present a comprehensive methodology to elucidate the molecular origins of long-term changes in a particle motion sensor, focusing on a competitive sensor design under conditions without flow. Experiments were performed wherein only the particles or only the surfaces were aged in order to clarify how each individual component changes over time. Furthermore, distributions of particle motion patterns and switching activity were studied to reveal how particle populations change over timespans of several days. For a cortisol sensor with anticortisol antibodies on the particles and cortisol analogues on the sensing surface, the leading hypotheses for the long-term changes are (i) that the particles lose antibodies and develop nonspecific interactions and (ii) that analogue molecules dissociate from the sensing surface. The developed methodologies and the acquired insights pave a way for realizing sensors that can operate over long timespans.

Indexed as

Biosensing TechniquesHydrocortisoneHydrocortisoneaging studiescontinuous biosensinglong-term changesmolecular originssingle-molecule sensor

Identifiers

PMID38967449
PMCPMC11287755

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Registered trials

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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.