Title: | Detecting Staphylococcus aureus in milk from dairy cows using sniffer dogs |
Author(s): | Fischer-Tenhagen C; Theby V; Kromker V; Heuwieser W; |
Address: | "Clinic for Animal Reproduction, Faculty of Veterinary Medicine, Freie Universitat Berlin, 14163 Berlin, Germany. Department of Bioprocess Engineering-Microbiology, Hannover University of Applied Science and Arts, 30453 Hannover, Germany. Clinic for Animal Reproduction, Faculty of Veterinary Medicine, Freie Universitat Berlin, 14163 Berlin, Germany. Electronic address: w.heuwieser@fu-berlin.de" |
ISSN/ISBN: | 1525-3198 (Electronic) 0022-0302 (Linking) |
Abstract: | "Fast and accurate identification of disease-causing pathogens is essential for specific antimicrobial therapy in human and veterinary medicine. In these experiments, dogs were trained to identify Staphylococcus aureus and differentiate it from other common mastitis-causing pathogens by smell. Headspaces from agar plates, inoculated raw milk samples, or field samples collected from cows with Staphylococcus aureus and other mastitis-causing pathogens were used for training and testing. The ability to learn the specific odor of Staphylococcus aureus in milk depended on the concentration of the pathogens in the training samples. Sensitivity and specificity for identifying Staphylococcus aureus were 91.3 and 97.9%, respectively, for pathogens grown on agar plates; 83.8 and 98.0% for pathogens inoculated in raw milk; and 59.0 and 93.2% for milk samples from mastitic cows. The results of these experiments underline the potential of odor detection as a diagnostic tool for pathogen diagnosis" |
Keywords: | "Animals Biosensing Techniques/*methods Cattle Dogs/*physiology Female Mastitis, Bovine/metabolism/*microbiology Milk/metabolism/*microbiology Sensitivity and Specificity Staphylococcal Infections/metabolism/microbiology/*veterinary Staphylococcus aureus/c;" |
Notes: | "MedlineFischer-Tenhagen, C Theby, V Kromker, V Heuwieser, W eng Evaluation Study 2018/03/05 J Dairy Sci. 2018 May; 101(5):4317-4324. doi: 10.3168/jds.2017-14100. Epub 2018 Mar 1" |