Evidence map›Paper›PMID 41097481›Full record

ArticleFoods (Basel, Switzerland)2025

Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces.

Siavash Mahmoudi, Clark Griscom, Pouya Sohrabipour, Yang Tian, Chaitanya Pallerla, Philip Crandall, Dongyi Wang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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.

Siavash MahmoudiDepartment of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Clark GriscomDepartment of Food Science, University of Arkansas, Fayetteville, AR 72701, USA.
Pouya SohrabipourDepartment of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Yang TianDepartment of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0009-0004-9347-1342
Chaitanya PallerlaDepartment of Food Science, University of Arkansas, Fayetteville, AR 72701, USA.
Philip CrandallDepartment of Food Science, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0000-0002-5180-3204
Dongyi WangDepartment of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0000-0002-1224-5529

Funding

National Institute of Food and Agriculture 2023-70442-39232
6 · The paper itself

Abstract

Effective environmental monitoring is critical for preventing microbial and allergenic cross-contamination. However, manual swabbing methods, commonly used to verify hygienic conditions, are prone to inconsistent results because of variability in pressure, coverage, and techniques. Two novel solutions will be explored to address these challenges: a robotic swabbing system with tactile sensing control, and a fluorescence/absorbance spectrometer for non-contact, protein-based residue detection. The robotic system was evaluated against trained and untrained humans, measuring water pickup, surface coverage, and pressure consistency. Concurrently, the fluorescence system analyzed model poultry protein soil to correlate spectral patterns with contamination levels. The robotic system demonstrated statistically superior performance, achieving consistent force application and near-complete surface coverage, overcoming key limitations of manual sampling. The fluorescence system distinguished contamination with high sensitivity, validating its use as a rapid, non-contact assessment tool. Together, the robotic sample acquisition and the spectrometer's sensitive analysis provide a dual-modality framework for enhancing hygiene monitoring in manufacturing facilities.

Indexed as

environmental monitoringenvironmental swabbingprecision of human versus robotrobotics in food safety

Identifiers

PMID41097481
PMCPMC12523492

What OpenQuestion holds

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LicenceCC BY
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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.