Evidence map›Paper›PMID 35415677›Full record

ArticleFood chemistry. Molecular sciences2022

Detection and quantification of adulteration in milk and dairy products: A novel and sensitive qPCR-based method.

Rodrigo Giglioti, Hiago Polli, Bianca Tainá Azevedo, Luciana Morita Katiki, Anibal Eugênio Vercesi Filho

Open access · goldAbstract read
In one paragraph

Article in Food chemistry. Molecular sciences, 2022. 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
3.6field-weighted citation impact, top 6% of its field
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, 44 citations in OpenAlex.

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  10. How Chemometrics Can Fight Milk Adulteration.Foods (Basel, Switzerland) · 2022
    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 at 1 institution in 1 country.

Rodrigo GigliotiInstituto de Zootecnia, Rua Heitor Penteado, n. 56, Nova Odessa, São Paulo 13380-011, Brazil.
Hiago PolliInstituto de Zootecnia, Rua Heitor Penteado, n. 56, Nova Odessa, São Paulo 13380-011, Brazil.
Bianca Tainá AzevedoInstituto de Zootecnia, Rua Heitor Penteado, n. 56, Nova Odessa, São Paulo 13380-011, Brazil.
Luciana Morita KatikiInstituto de Zootecnia, Rua Heitor Penteado, n. 56, Nova Odessa, São Paulo 13380-011, Brazil.
Anibal Eugênio Vercesi FilhoInstituto de Zootecnia, Rua Heitor Penteado, n. 56, Nova Odessa, São Paulo 13380-011, Brazil.
Institute of Animal Science and Pastures · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species identification in dairy products has a notable importance in food traceability and adulteration control and consequently has a significant effect on the final economic value of foods. In the present study, we developed a method based on real-time quantitative PCR (qPCR) for detection and quantification of cow DNA in DNA samples from milk and dairy products from buffaloes, goats, and sheep. The qPCR reactions showed high specificity, and the amplifications only occurred to species-specific primers. The calibration curves allowed for the quantification of the amount of DNA of each species-specific primer, and the established detection limit was 0.016 ng for the four species. The detection limit of cow DNA in buffalo, goat and sheep DNA samples was 0.1% (0.01 ng). Although the present study aimed to detect and quantify cow DNA in buffalo, goat, and sheep dairy products, we believe that the qPCR assays can also be directed to differentiate and quantify goat × sheep, and/or buffalo × goat/sheep.

Indexed as

AdulterationDairy productsDetectionDNAMilkQuantification

Identifiers

PMID35415677
PMCPMC8991746
OpenAlexW4206394526

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.