Somrup Supaporn, Mitsuwan Watcharapong, Bhumibhamon Teeraphun, Pereira Maria de Lourdes, Paul Alok K, Nissapatorn Veeranoot, Saengsawang Phirabhat
Faculty of Technology and Community Development, Thaksin University, Phatthalung 93210, Thailand.
Akkhraratchakumari Veterinary College, Walailak University, Nakhon Si Thammarat 80160, Thailand.
Vet World. 2024 Apr;17(4):735-743. doi: 10.14202/vetworld.2024.735-743. Epub 2024 Apr 3.
Milk, a nutritious food, is widely consumed in human diets; however, contamination by micro-organisms can negatively impact its quality and consumer health. Contamination by micro-organisms affects the quality of milk, which can affect the quality of the milk production chain. This study aimed to determine the changes in milk composition and antibiotic susceptibility related to bacteria isolated from dairy cow milk.
Raw milk samples were collected from 72 dairy cows. All milk samples were subjected to the California Mastitis Test (CMT) for CMT score determination. We also investigated milk composition, bacterial culture (BC), and antibiotic susceptibility.
About 47.22% and 30.56% of dairy cattle were positive for CMT + BC and automatic somatic cell count (ASCC) + BC, respectively. Fecal appearance and animal age were found to be risk factors for ASCC + BC positivity in dairy cattle. Bacteria were found in approximately 76% of milk samples, with the most common isolated species being α-hemolytic spp., coagulase-negative spp., and . Of these, 70% are resistant to at least one antibiotic. Variation in the multidrug resistance pattern was high in spp.
Fecal appearance and animal age are risk factors for ASCC + BC positivity in dairy cattle. This study identified antibiotic and multidrug resistance patterns, which require comprehensive studies and effective surveillance systems. Remarkably, the use of antibiotic therapy in dairy cattle should be monitored.
牛奶作为一种营养丰富的食物,在人类饮食中广泛消费;然而,微生物污染会对其质量和消费者健康产生负面影响。微生物污染会影响牛奶质量,进而可能影响牛奶生产链的质量。本研究旨在确定与从奶牛牛奶中分离出的细菌相关的牛奶成分变化和抗生素敏感性。
从72头奶牛采集生鲜牛奶样本。所有牛奶样本均进行加利福尼亚乳房炎检测(CMT)以确定CMT评分。我们还研究了牛奶成分、细菌培养(BC)和抗生素敏感性。
分别约有47.22%和30.56%的奶牛CMT + BC和自动体细胞计数(ASCC)+ BC呈阳性。发现粪便外观和动物年龄是奶牛ASCC + BC阳性的风险因素。在大约76%的牛奶样本中发现了细菌,最常见的分离菌种为α-溶血菌属、凝固酶阴性菌属等。其中,70%对至少一种抗生素耐药。在菌属中多重耐药模式的变异程度较高。
粪便外观和动物年龄是奶牛ASCC + BC阳性的风险因素。本研究确定了抗生素和多重耐药模式,这需要进行全面研究和建立有效的监测系统。值得注意的是,应监测奶牛中抗生素治疗的使用情况。