Evidence map›Paper›PMID 36400792›Full record

ArticleNature communications2022

Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements.

Nicolò Maganzini, Ian Thompson, Brandon Wilson, Hyongsok Tom Soh

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  6. Review
  7. Generalizable Molecular Switch Designs forAccounts of chemical research · 2025
    Article
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  10. Article
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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.

Nicolò MaganziniDepartment of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.
Ian ThompsonDepartment of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0001-9733-9462
Brandon WilsonDepartment of Radiology, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-8867-4848
Hyongsok Tom SohDepartment of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA. tsoh@stanford.edu.ORCID 0000-0001-9443-857X

Funding

Real-time biosensor for mapping the function of the pancreasOT2OD025342 · OD · STANFORD UNIVERSITY · PI SOH, HYONGSOK TOM · 2018 to 2021
$4.6M
U.S. Department of Health & Human Services | National Institutes of Health (NIH) OT2OD025342
6 · The paper itself

Abstract

Almost all biosensors that use ligand-receptor binding operate under equilibrium conditions. However, at low ligand concentrations, the equilibration with the receptor (e.g., antibodies and aptamers) becomes slow and thus equilibrium-based biosensors are inherently limited in making measurements that are both rapid and sensitive. In this work, we provide a theoretical foundation for a method through which biosensors can quantitatively measure ligand concentration before reaching equilibrium. Rather than only measuring receptor binding at a single time-point, the pre-equilibrium approach leverages the receptor's kinetic response to instantaneously quantify the changing ligand concentration. Importantly, by analyzing the biosensor output in frequency domain, rather than in the time domain, we show the degree to which noise in the biosensor affects the accuracy of the pre-equilibrium approach. Through this analysis, we provide the conditions under which the signal-to-noise ratio of the biosensor can be maximized for a given target concentration range and rate of change. As a model, we apply our theoretical analysis to continuous insulin measurement and show that with a properly selected antibody, the pre-equilibrium approach could make the continuous tracking of physiological insulin fluctuations possible.

Indexed as

Biosensing TechniquesInsulinsAntibodiesLigandsProtein BindingAntibodiesInsulinsLigands

Identifiers

PMID36400792
PMCPMC9674706

What OpenQuestion holds

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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.