Evidence map›Paper›PMID 38611421›Full record

ArticleFoods (Basel, Switzerland)2024

Preliminary Investigation towards the Use of Infrared Technology for Raw Milk Treatment.

Luigi Danesi, Maria Nobile, Mauro Fontana, Erica Tirloni, Luca Maria Chiesa, Federica Savini, Roberto Edoardo Villa, Sara Panseri

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Luigi DanesiDepartment of Veterinary Medicine and Animal Science, University of Milan, Via dell'Università 6, 26900 Lodi, Italy.ORCID 0000-0002-4672-136X
Maria NobileDepartment of Veterinary Medicine and Animal Science, University of Milan, Via dell'Università 6, 26900 Lodi, Italy.ORCID 0000-0001-6289-0182
Mauro FontanaDirigente Veterinario AULSS9 Scaligera, Via S.M. Crocifissa di Rosa, 37067 Verona, Italy.
Erica TirloniDepartment of Veterinary Medicine and Animal Science, University of Milan, Via dell'Università 6, 26900 Lodi, Italy.ORCID 0000-0002-2037-1875
Luca Maria ChiesaDepartment of Veterinary Medicine and Animal Science, University of Milan, Via dell'Università 6, 26900 Lodi, Italy.
Federica SaviniDepartment of Veterinary Medical Sciences, Faculty of Veterinary Medicine, University of Bologna, Ozzano Emilia, 40064 Bologna, Italy.
Roberto Edoardo VillaDepartment of Veterinary Medicine and Animal Science, University of Milan, Via dell'Università 6, 26900 Lodi, Italy.ORCID 0000-0001-5536-1370
Sara PanseriDepartment of Veterinary Medicine and Animal Science, University of Milan, Via dell'Università 6, 26900 Lodi, Italy.ORCID 0000-0001-6970-2009

Funding

Agritech National Research Center CN00000022Piano operativo Nazionale Azione IV.5
6 · The paper itself

Abstract

Infrared (IR) technology offers a promising solution for reducing microbiological loads in various food types while preserving their quality traits, such as flavour. However, research on IR's application in complex matrices is limited. Therefore, our preliminary study aimed to evaluate its effectiveness in sanitizing bovine raw milk. We assessed the bacterial count before and after IR treatment by comparing volatile organic compound profiles via headspace extraction and GC/MS analysis. Our findings showed that higher energy levels led to a greater bacterial reduction. IR85 was the most effective in reducing

Indexed as

food safetygreen transitioninfrared radiationmilksustainability

Identifiers

PMID38611421
PMCPMC11012228

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.