Evidence map›Paper›PMID 40231942›Full record

ArticleFoods (Basel, Switzerland)2025

Advances in the Detection and Identification of Bacterial Biofilms Through NIR Spectroscopy.

Cristina Allende-Prieto, Lucía Fernández, Pablo Rodríguez-Gonzálvez, Pilar García, Ana Rodríguez, Carmen Recondo, Beatriz Martínez

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. Article
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.

Cristina Allende-PrietoCivil, Environmental and Geomatics Engineering Research Group (CEGE), Area of Cartographic, Geodesic and Photogrammetric Engineering, Department of Mining Exploitation and Prospecting, Polytechnic School of Mieres, University of Oviedo, 33003 Oviedo, Spain.ORCID 0000-0002-1178-2269
Lucía FernándezDairy Products Institute of Asturias, C/Francisco Pintado Fe, 26, 33011 Oviedo, Spain.ORCID 0000-0002-7383-7595
Pablo Rodríguez-GonzálvezDepartment of Mining Technology, Topography and Structures, Universidad de León, Avda. Astorga s/n, 24401 Ponferrada, Spain.ORCID 0000-0002-2657-813X
Pilar GarcíaDairy Products Institute of Asturias, C/Francisco Pintado Fe, 26, 33011 Oviedo, Spain.ORCID 0000-0003-1213-8165
Ana RodríguezDairy Products Institute of Asturias, C/Francisco Pintado Fe, 26, 33011 Oviedo, Spain.ORCID 0000-0002-1577-9905
Carmen RecondoRemote Sensing Applications (RSApps) Research Group, Area of Cartographic, Geodesic and Photogrammetric Engineering, Department of Mining Exploitation and Prospecting, Polytechnic School of Mieres, University of Oviedo, 33003 Oviedo, Spain.ORCID 0000-0001-9813-6798
Beatriz MartínezDairy Products Institute of Asturias, C/Francisco Pintado Fe, 26, 33011 Oviedo, Spain.ORCID 0000-0001-7692-1963

Funding

Ministry of science and innovation of Spain PID2022-140988OB-I00Principality of Asturias AYUD/2021/52120
6 · The paper itself

Abstract

Bacterial biofilms play an important role in the pathogenesis of infectious diseases but are also very relevant in other fields such as the food industry. This fact has led to an increased focus on the early identification of these structures as prophylaxes to prevent biofilm-related contaminations or infections. One of the objectives of the present study was to assess the effectiveness of NIR (Near Infrared) spectroscopy in the detection and differentiation of biofilms from different bacterial species, namely

Indexed as

bacterial biofilmsfood safetyNIRoptical spectroscopy

Identifiers

PMID40231942
PMCPMC11941196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.