Evidence map›Paper›PMID 42446582›Full record

ArticleAnalytical and bioanalytical chemistry2026

A Monte Carlo simulation based on first-passage distributions for spatio-temporal detection on potentiometric sensor arrays.

Lewis Keeble, Kunal Katarya, Ahmad Moniri, Nicolas Moser, Pantelis Georgiou, Jesus Rodriguez-Manzano

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. 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
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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

6 authors.

Lewis KeebleDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Kunal KataryaDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Ahmad MoniriDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Nicolas MoserDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Pantelis GeorgiouDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Jesus Rodriguez-ManzanoDepartment of Infectious Disease, Imperial College London, London, W12 0NN, UK. j.rodriguez-manzano@imperial.ac.uk.

Funding

EPSRC Centre for Doctoral Training in High Performance Embedded and Distributed Systems EP/L016796/1
6 · The paper itself

Abstract

This paper presents a novel simulation approach for particle diffusion that uses Monte Carlo sampling of first-passage distributions to conduct spatio-temporal modelling for potentiometric sensing arrays. The Monte Carlo first-passage (MCFP) simulation algorithm prioritises speed to overcome limitations with currently available techniques. This paper applies the MCFP technique to simulate the detection of protons by arrays of ion-sensitive field-effect transistors (ISFETs) as a case study. The MCFP algorithms were validated against a benchmark random walk algorithm, with temporal MCFP output matching that of the random walk with an average

Indexed as

Electrochemical detectionISFETMonte Carlo simulationPotentiometricSensor arraySpatio-temporal

Identifiers

PMID42446582
PMCPMC13473191

What OpenQuestion holds

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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.