Evidence map›Paper›PMID 40422043›Full record

ArticleBiosensors2025

Multi-Parametric Electrochemical Sensing Platform: Applications in Animal Welfare.

C Ferreira, E Lynch, A O'Herlihy, F Barry, L C Nagle, S R Teixeira, P Galvin

Abstract read
In one paragraph

Article in Biosensors, 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

7 authors.

C FerreiraTyndall National Institute, University College Cork, Lee Maltings, T12 R5CP Cork, Ireland.ORCID 0009-0006-5725-306X
E LynchTyndall National Institute, University College Cork, Lee Maltings, T12 R5CP Cork, Ireland.
A O'HerlihyTyndall National Institute, University College Cork, Lee Maltings, T12 R5CP Cork, Ireland.
F BarryTyndall National Institute, University College Cork, Lee Maltings, T12 R5CP Cork, Ireland.ORCID 0009-0009-7082-616X
L C NagleTyndall National Institute, University College Cork, Lee Maltings, T12 R5CP Cork, Ireland.ORCID 0000-0002-7268-3408
S R TeixeiraTyndall National Institute, University College Cork, Lee Maltings, T12 R5CP Cork, Ireland.ORCID 0000-0002-3527-4816
P GalvinTyndall National Institute, University College Cork, Lee Maltings, T12 R5CP Cork, Ireland.ORCID 0000-0002-7890-0493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid growth of the dairy sector requires advanced monitoring tools to ensure sustainable practices that benefit the environment, economy, and human health. Current monitoring devices often lack multi-parametric capabilities, limiting their ability to provide comprehensive data on critical chemical and biochemical parameters. To address this challenge, this work presented the integration of a real-time multi-parametric device with sensors for pH, temperature, nitrate, and nitrite, providing a comprehensive solution to dairy cattle health monitoring. This solution included an electrochemical platform, Portable Unit for Lab-on-Site Electrochemistry (PULSE), and an application for data processing and display. In-house fabricated flexible gold-printed electrodes demonstrated accurate detection of nitrite and nitrate when integrated with the PULSE, achieving sensitivities of 6.32 μA/ppm/cm2 in artificial interstitial fluid and 1.92 μA/ppm/cm2 in phosphate buffered saline, respectively. The PULSE achieved 65.83% and 58.3% lower limits of detection in phosphate buffered saline than a benchtop potentiostat, for nitrate and nitrite, respectively, along with a 24.5% increase in nitrite sensitivity, enhancing its ability to detect lower analyte concentrations. pH sensing was carried out with a commercial screen-printed electrode coated with a layer of iridium oxide. The pH was tested in ruminal complex fluid, obtaining a pH sensitivity of -59.63 mV/pH and an accuracy of 98.9%. These findings highlighted the potential of this technology as an effective tool for dairy cattle health monitoring and its deployment in real-world scenarios.

Indexed as

Animal WelfareBiosensing TechniquesElectrochemical TechniquesAnimalsCattleElectrodesHydrogen-Ion ConcentrationNitratesNitritesTemperatureNitratesNitritesdairy healthelectrochemistryelectronicssensors

Identifiers

PMID40422043
PMCPMC12109810

What OpenQuestion holds

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LicenceCC BY
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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.