Evidence map›Paper›PMID 31417901›Full record

ReviewFrontiers in bioengineering and biotechnology2019

Biosensors for On-Farm Diagnosis of Mastitis.

Sofia A M Martins, Verónica C Martins, Filipe A Cardoso, José Germano, Mónica Rodrigues, Carla Duarte, Ricardo Bexiga, Susana Cardoso, Paulo P Freitas

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
12.7field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
  2. Review
  3. Identification ofMicroorganisms · 2026
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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

9 authors at 3 institutions in 1 country.

Sofia A M MartinsMagnomics S.A., Parque Tecnológico de Cantanhede, Cantanhede, Portugal.
Verónica C MartinsMagnomics S.A., Parque Tecnológico de Cantanhede, Cantanhede, Portugal.
Filipe A CardosoMagnomics S.A., Parque Tecnológico de Cantanhede, Cantanhede, Portugal.
José GermanoMagnomics S.A., Parque Tecnológico de Cantanhede, Cantanhede, Portugal.
Mónica RodriguesMagnomics S.A., Parque Tecnológico de Cantanhede, Cantanhede, Portugal.
Carla DuarteINESC Microsistemas e Nanotecnologias Rua Alves Redol, Lisbon, Portugal.
Ricardo BexigaFaculdade de Medicina Veterinária, Avenida da Universidade Técnica, Lisbon, Portugal.
Susana CardosoINESC Microsistemas e Nanotecnologias Rua Alves Redol, Lisbon, Portugal.
Paulo P FreitasINESC Microsistemas e Nanotecnologias Rua Alves Redol, Lisbon, Portugal.
Instituto de Engenharia de Sistemas e Computadores Microsistemas e Nanotecnologias · PTInternational Iberian Nanotechnology Laboratory · PTUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine mastitis is an inflammation of the mammary gland caused by a multitude of pathogens with devastating consequences for the dairy industry. Global annual losses are estimated to be around €30 bn and are caused by significant milk losses, poor milk quality, culling of chronically infected animals, and occasional deaths. Moreover, mastitis management routinely implies the administration of antibiotics to treat and prevent the disease which poses serious risks regarding the emergence of antibiotic resistance. Conventional diagnostic methods based on somatic cell counts (SCC) and plate-culture techniques are accurate in identifying the disease, the respective infectious agents and antibiotic resistant phenotypes. However, pressure exists to develop less lengthy approaches, capable of providing on-site information concerning the infection, and in this way, guide, and hasten the most adequate treatment. Biosensors are analytical tools that convert the presence of biological compounds into an electric signal. Benefitting from high signal-to-noise ratios and fast response times, when properly tuned, they can detect the presence of specific cells and cell markers with high sensitivity. In combination with microfluidics, they provide the means for development of automated and portable diagnostic devices. Still, while biosensors are growing at a fast pace in human diagnostics, applications for the veterinary market, and specifically, for the diagnosis of mastitis remain limited. This review highlights current approaches for mastitis diagnosis and describes the latest outcomes in biosensors and lab-on-chip devices with the potential to become real alternatives to standard practices. Focus is given to those technologies that, in a near future, will enable for an on-farm diagnosis of mastitis.

Indexed as

biosensorsdairy industrydiagnosticsmastitismicrofluidicspoint-of-care

Identifiers

PMID31417901
PMCPMC6684749
OpenAlexW2957974876

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.