Evidence map›Paper›PMID 30044422›Full record

ArticleSensors (Basel, Switzerland)2018

Cheeses Made from Raw and Pasteurized Cow's Milk Analysed by an Electronic Nose and an Electronic Tongue.

Nuno I P Valente, Alisa Rudnitskaya, João A B P Oliveira, M Teresa S R Gomes, Elvira M M Gaspar

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  6. Fate ofMicroorganisms · 2021
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  7. Review
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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.

Nuno I P ValenteCESAM/Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal. nunoipvalente@ua.pt.
Alisa RudnitskayaCESAM/Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal. alisa@ua.pt.ORCID 0000-0002-7963-3892
João A B P OliveiraCESAM/Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal. jabpo@ua.pt.ORCID 0000-0002-8980-3111
M Teresa S R GomesCESAM/Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal. mtgomes@ua.pt.
Elvira M M GasparLAQV-REQUIMTE, Department of Chemistry, Faculty of Science and Technology, New University of Lisbon, Quinta da Torre, 2825-114 Caparica, Portugal. p123@fct.unl.pt.ORCID 0000-0001-8906-4809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cheese prepared from whole milk, raw and pasteurized, were analysed by an electronic nose based on piezoelectric quartz crystals and an electronic tongue based on potentiometric sensors, immediately after their preparation and along ripening (after 7 and 21 days). Whey was also analysed by the potentiometric electronic tongue. Results obtained by the electronic nose and tongue were found to be complementary, with the electronic nose being more sensitive to differences in the milk and the electronic tongue being more sensitive to milk pasteurization. Electronic tongue was able to distinguish cheeses made from raw and pasteurized milk, both analysing the whey or the curd, with correct classification rate of 96% and 84%, respectively. Besides, the electronic nose was more sensitive than the electronic tongue to the ripening process, with large differences between samples after 7 and 21 days, while the electronic tongue was only sensitive to the initial maturation stages, with large difference between freshly prepared cheese and with seven days of maturation.

Indexed as

acoustic wave sensorcheeseelectronic noseelectronic tonguepasteurizationpiezoelectric quartz crystalpotentiometric sensor

Identifiers

PMID30044422
PMCPMC6112048

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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.