Valentina Busin

Dr. Valentina Busin

School of Veterinary Medicine, University of Glasgow, Glasgow, UK
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2016 in Molecular and Cellular Probes
Verified
Journal Article
Closed access
VBValentina Busin
Valentina Busin
BWBeth Wells
Beth Wells
MKMaiwenn KERSAUDY-KERHOAS
Maiwenn KERSAUDY-KERHOAS
WSWenmiao Shu
Wenmiao Shu
SBStewart Burgess
Stewart Burgess

18 October 2023 in Food Microbiology
Verified
Journal Article
Open access
MSMaha Shalaby
Maha Shalaby
JRJulien Reboud
Julien Reboud
TFTaya Forde
Taya Forde
RZRuth N. Zadoks
Ruth N. Zadoks
VBValentina Busin
Valentina Busin
Enterotoxins produced by Staphylococcus aureus are a common cause of food poisoning, leading to significant gastrointestinal symptoms and even hospitalization. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched three electronic databases for studies on detection of staphylococcal enterotoxins or enterotoxigenic S. aureus in raw ruminant milk. The 128 studies included in this systematic review showed a worldwide distribution of studies on staphylococcal enterotoxins and enterotoxigenic S. aureus, with an increase in the number from 1980 to 2021, a shift in detection methods from enterotoxins to enterotoxin genes, and a preponderance of studies from Europe and South America. Most studies focused on milk from individual animals with mastitis, especially cattle. Based on 24 studies, the within-herd prevalence of enterotoxigenic S. aureus in raw milk samples was 11.6%. Many studies failed to report the health status of sampled animals, or the numerator and denominator data needed for prevalence calculation. Cultural and legislative differences, economic status, diagnostic capabilities, and public awareness are all likely factors contributing to the observed distribution of studies. Our review highlighted a significant gap in quality and completeness of data reporting, which limits full assessment of prevalence and distribution of hazards posed by raw milk.

17 May 2018 in IEEE Geoscience and Remote Sensing Letters
Verified
Journal Article
Closed access
ASAman Shrestha
Aman Shrestha
CLCharalampos Loukas
Charalampos Loukas
Julien Le KernecJulien Le Kernec
Julien Le Kernec
FFFrancesco Fioranelli
Francesco Fioranelli
VBValentina Busin
Valentina Busin
LVLance Voute
Lance Voute
Lameness is a significant problem for performance horses and farmed animals, with severe impact on animal welfare and treatment costs. Lameness is commonly diagnosed through subjective scoring methods performed by trained veterinary clinicians, but automatic methods using suitable sensors would improve efficiency and reliability. In this letter, we propose the use of radar micro-Doppler signatures for contactless and automatic identification of lameness, and present preliminary results for dairy cows, sheep, and horses. These proof-of-concept results are promising, with classification accuracy above 85% for dairy cows, around 92% for horses, and close to 99% for sheep.

9 November 2019 in Veterinary Record
Verified
Journal Article
Closed access
PDF file
VBValentina Busin
Valentina Busin
Lorenzo VioraLorenzo Viora
Lorenzo Viora
GKGeorge King
George King
MTMartin Tomlinson
Martin Tomlinson
Julien Le KernecJulien Le Kernec
Julien Le Kernec
FFFrancesco Fioranelli
Francesco Fioranelli
Background Lameness is a major health, welfare and production-limiting condition for the livestock industries. The current ‘gold-standard’ method of assessing lameness by visual locomotion scoring is subjective and time consuming, whereas recent technological advancements have enabled the development of alternative and more objective methods for its detection. Methods This study evaluated a novel lameness detection method using micro-Doppler radar signatures to categorise animals as lame or non-lame. Animals were visually scored by veterinarian and radar data were collected for the same animals. Results A machine learning algorithm was developed to interpret the radar signatures and provide automatic classification of the animals. Using veterinary scoring as a standard method, the classification by radar signature provided 85 per cent sensitivity and 81 per cent specificity for cattle and 96 per cent sensitivity and 94 per cent specificity for sheep. Conclusion This radar sensing method shows promise for the development of a highly functional, rapid and reliable recognition tool of lame animals, which could be integrated into automatic, on-farm systems for sheep and cattle.

1 December 2018 in Veterinary Parasitology
Verified
Journal Article
Closed access
BBBasripuzi Nurul Hayyan Hassan Basri
Basripuzi Nurul Hayyan Hassan Basri
MSM. Shahrom Salisi
M. Shahrom Salisi
NIN. Mahiza Md Isa
N. Mahiza Md Isa
VBValentina Busin
Valentina Busin
CCCallum Cairns
Callum Cairns
Michael StearMichael Stear
Michael Stear

27 July 2019 in Veterinary Record
Verified
Journal Article
Closed access
PDF file
KHKim Hamer
Kim Hamer
SBStewart Burgess
Stewart Burgess
VBValentina Busin
Valentina Busin
NSNeil Donald Sargison
Neil Donald Sargison
Psoroptes ovis mites, the causative agent of sheep scab, can severely compromise sheep welfare and production. However, in subclinical infections, mite detection is difficult increasing the risk of spread. A recent serodiagnostic test, based on detecting host antibodies to the P ovis allergen, Pso o 2, has made the detection of subclinical infection possible. The use of this test was demonstrated in subclinical situations, through an opportunistic observational study on an extensive hill farm and a lowland flock with recently introduced, quarantined livestock. Twelve animals were tested from each group. Breeding ewes and lambs on the hill farm had seroprevalences of 16 per cent (12.5–17.8 per cent) and 8.3 per cent (4.8–10.1 per cent), respectively. Quarantined store lambs had a seroprevalence of 16.7 per cent (13.2–18.5 per cent); no evidence of P ovis was found in quarantined replacement ewes. By detecting subclinical infection, this serological test could be a powerful tool in sheep scab control, for quarantine procedures, accreditation programmes, and possibly regional or national eradication protocols.