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机构地区:[1]中国农业大学水利与土木工程学院农业部农业结构与环境工程重点实验室,北京100083
出 处:《农业工程学报》2015年第20期199-204,共6页Transactions of the Chinese Society of Agricultural Engineering
基 金:现代农用工业技术研究专项基金(CARS-41)
摘 要:为降低鸡场肠病原体疫病传播风险和兽药残留,通过响应面中和设计法,该试验评估了微酸性电解水(p H值5.85~6.53)对大肠杆菌和沙门氏菌混合污染轮胎的消毒效果,并探讨了清洗时间,消毒时间及有效氯浓度3个因素对微酸性电解水消毒效果的影响及相互作用规律,同时建立二次多项回归模型,并对消毒工艺进行优化。结果表明,3个因素皆对消毒效果有显著影响(p〈0.0001),且各因素影响大小为有效氯浓度〉消毒时间〉清洗时间;模型决定系数和调整决定系数分别为0.984和0.969,验证试验中,试验值与预测值的相关系数为0.97;消毒时间5 min、清洗时间4 min、有效氯浓度140 mg/L时,可以达到1.38 log10 cfu/cm2的杀菌数。该研究为微酸性电解水消毒提供了参考,并证明了微酸性电解水在畜牧业的应用潜力。The process of transport has long been considered an important risk factor for pathogens entry into farms. Disinfection is a generally agreed concept to prevent the introduction of both endemic and epidemic infections, however, potentially toxic, corrosive or volatile problems have arisen because of the use of chemicals as disinfecting agents. Slightly acidic electrolyzed water (SAEW) is considered environmental friendly as it is generated from water and dilute salt solution and reverts to water after use. Also, it has the advantages of possessing broad-spectrum antimicrobial activity, reducing corrosion of surface and minimizing the potential of damage to human health. To reduce the risk of enteric pathogens transmission and leave little residue in animal farms, the disinfection effectiveness of SAEW with pH value of 5.85-6.53 for inactivating Escherichia coli (E. coli) and Salmonella enteritidis (S. enteritidis) mixture on the surface of vehicle tires was evaluated. The coupled effects of tap water washing time (from 2 to 4 min), SAEW treatment time (from 3 to 7 min) and available chlorine concentration (ACC) (from 80 to 140 mg/L) on the reduction ofE. coli and S. enteritidis mixture on tires were investigated using a central composite design of the response surface (RS) methodology. The established RS model had a good fitting quantified by determination coefficient (R2) of 0.984 and adjusted determination coefficient of 0.969 (p〉0.05). The model was validated with additional random 8 conditions within the experimental domain. The predicted value showed a good agreement with the actual values, for the points of response values were very close to the line of 100% correlation. The results showed that the cleaning time, disinfection time and ACC significantly affected the pathogens reduction (p〈0.0001), and their influences were ranked as ACC〉disinfection time〉cleaning time. The linear correlation coefficients, the quadratic term coefficients and the cross valida
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