Evidence map›Paper›PMID 41465058›Full record

ArticleFoods (Basel, Switzerland)2025

Rapid Detection of Chicken Residues on Poultry Plant Surfaces Using Color and Fluorescence Spectrometry.

Clark Griscom, Dongyi Wang, Corliss A O'Bryan, Rimmo Rõõm, Philip G Crandall

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Clark GriscomDepartment of Food Science, University of Arkansas, 2650 N. Young Ave., Fayetteville, AR 72704, USA.
Dongyi WangDepartment of Food Science, University of Arkansas, 2650 N. Young Ave., Fayetteville, AR 72704, USA.ORCID 0000-0002-1224-5529
Corliss A O'BryanDepartment of Food Science, University of Arkansas, 2650 N. Young Ave., Fayetteville, AR 72704, USA.ORCID 0000-0003-4738-7751
Rimmo RõõmLDI Innovation OÜ, Sära tee 7, 75312 Peetri, Harjumaa, Estonia.
Philip G CrandallDepartment of Food Science, University of Arkansas, 2650 N. Young Ave., Fayetteville, AR 72704, USA.ORCID 0000-0002-5180-3204

Funding

United States Department of Agriculture 2023-70442-39232
6 · The paper itself

Abstract

Color and fluorescence spectrometry were evaluated as rapid, objective tools for verifying the cleanliness of poultry-processing food-contacting surfaces contaminated with a model chicken solution across six common materials. Both techniques detected chicken residues at dilutions several orders of magnitude below human visual and olfactory thresholds, with stainless steel and blue plastic yielding the largest color differences between clean and contaminated states and fluorescence measurements remaining highly sensitive on all tested surfaces. Representative limits of detection were on the order of 1:50-1:100 dilution of chicken residue for color measurements on most surfaces and approximately 1:50 for fluorescence measurements, compared with human detection thresholds of approximately 1:50. Cleaning chemicals routinely used in poultry plants did not measurably reduce detection performance, and a simple machine learning classifier further improved separation of clean versus contaminated readings. These findings indicate that compact color and fluorescence instruments can provide fast, quantitative pre-sanitation checks that strengthen SSOP verification and reduce reliance on subjective human inspection in poultry processing facilities.

Indexed as

chicken contaminationcleaning verificationcolor spectrometryfluorescencefood-contacting surfacefood safetypoultry processing

Identifiers

PMID41465058
PMCPMC12733011

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.