Canine olfactory detection of florfenicol residues in goat milk: a pilot study.

Front Vet Sci

Department of Veterinary Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States.

Published: July 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Introduction: Canine olfaction has been used to detect drug residues across a variety of matrices as part of law enforcement efforts. As such, canine olfactory sample screening should hold promise as a potential tool for detecting drug residues in food products to support human food safety in resource limited settings or where sensitive analytical methods are not available for various matrices. The objective of this pilot study was to evaluate the ability of companion dogs undergoing low-frequency olfactory detection training to detect florfenicol and its metabolite, florfenicol amine (FA), in incurred residue goat milk samples.

Methods: Companion dogs ( = 8) of various breeds with prior odor detection experience were enrolled in a canine odor detection study for 9 weeks to detect florfenicol/FA that entailed once weekly testing sessions. Double-blinded testing was performed in two phases. Study phase 1 consisted of 11 florfenicol/FA-contaminated goat milk samples (combined [florfenicol + FA] concentrations ranging from 17.44-1443.30 ppb) with 2 distractors, items that might distract the dog while working, per run presented to = 8 dogs. For study phase 2, the highest performing dogs ( = 3) from study phase 1 were tested with low concentration (<20 ppb) samples ( = 11) that were identified as being positive using a rapid residue detection test. Performance metrics, including accuracy, sensitivity, and specificity, were assessed across sample drug concentration categories.

Results: For study phase 1, mean detection accuracy, sensitivity, and specificity were 0.80 [95% confidence interval (CI) (0.74-0.86), 0.70 (95% CI 0.65-0.76), and 0.86 (95% CI 0.82-0.88)], respectively. Sensitivity increased with higher drug concentrations, ranging from 0.38 at 17.96 ppb to 0.96 at 1443.30 ppb. Study phase 2 accuracy, sensitivity, and specificity were 0.88 (95% CI 0.85-0.91), 0.82 (95% CI 0.73-0.88), and 0.91 (95% CI 0.86-0.94), respectively. False positives were most often associated with blank goat milk.

Discussion: Companion dogs undergoing low-frequency olfactory odor detection training were able to detect florfenicol/FA residues in goat milk with high specificity, particularly at high concentrations. However, sensitivity at low concentrations was limited. While canine olfactory detection does not appear to be suitable as a confirmatory method for companion dogs with low training commitments, this pilot study demonstrates its potential as an initial screening tool, particularly in resource-limited settings. Future research is needed to refine training protocols and assess performance under field conditions.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12320535PMC
http://dx.doi.org/10.3389/fvets.2025.1579933DOI Listing

Publication Analysis

Top Keywords

goat milk
12
study phase
12
canine olfactory
8
olfactory detection
8
pilot study
8
drug residues
8
companion dogs
8
odor detection
8
dogs study
8
study
6

Similar Publications

Goat milk is prized for its nutritional value, but the illegal addition of δ-decanolactone to enhance flavor poses risks to product integrity and safety. This study employed a tripartite multi-omics framework integrating metabolomics, lipidomics, and proteomics, combined with FTIR and CLSM to systematically elucidate the multifaceted effects of δ-decanolactone on goat milk. Chemometric and bioinformatic pipelines identified dysregulated molecules and pathways, while molecular docking validated interactions with key targets.

View Article and Find Full Text PDF

Introduction: Identifying genetic markers associated with economically important traits in dairy goats helps enhance breeding efficiency, thereby increasing industry value. However, the potential genetic structure of key economic traits in dairy goats is still largely unknown.

Methods: This study used three genome-wide association study (GWAS) models (GLM, MLM, FarmCPU) to analyze dairy goat milk production traits (milk yield, fat percentage, protein percentage, lactose percentage, ash percentage, total dry matter, and somatic cell count).

View Article and Find Full Text PDF

Neospora caninum, Sarcocystis spp. and Toxoplasma gondii infections and their relationship with milk production in goats from Argentina.

Parasitol Int

September 2025

Immunoparasitology Laboratory, Faculty of Veterinary Science-La Plata National University, La Plata, 1900 Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Ciudad Autónoma de Buenos Aires (C1425FQB), Argentina; Institute of Parasitology, University of Bern, Län

The apicomplexan protozoa Neospora caninum, Sarcocystis spp. and Toxoplasma gondii are worldwide distributed. Goat infections with these protozoans are frequent, although the relationship with milk production is unknown.

View Article and Find Full Text PDF

Effects of a commercial buckwheat rhizome flavonoid extract on milk production, plasma pro-oxidant and antioxidant, and the ruminal metagenome and metabolites in lactating dairy goats.

J Dairy Sci

September 2025

Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang, 550025, Guizhou, China; Institute of Animal Nutrition and Feed Science, Guizhou University, Guiyang, 550025, Guizhou, China. Elec

Buckwheat is a common straw crop that contains an abundance of flavonoids and could be used as an antioxidant additive in animal diets. In this study, the effects of a commercial buckwheat rhizome flavonoid extract (BRFE) on milk production, plasma pro-oxidant and antioxidant, the ruminal metagenome, and ruminal metabolites in dairy goats were evaluated. Forty healthy, multiparous, nonpregnant Guanzhong dairy goats were blocked by DIM (122 ± 5.

View Article and Find Full Text PDF

The shapes of lactation curves are affected by genetic and environmental factors, and flexible models are required to fit such curves. This study aimed to compare the effects of the Gaussian process regression model (Gaussian model) for fitting lactation curves Saanen dairy goats versus the parametric Wood's model. In addition, we investigated effects of environmental factors on the shape of lactation curves.

View Article and Find Full Text PDF