摘要
目的:有效监测并防控食品(饮料)加工车间霉菌孢子污染。方法:通过室内无人机搭载微流控芯片收集、分类空气中的霉菌孢子,并在胶片上制备,用相机和电子显微镜拍摄孢子图像,利用Canny算法对孢子进行检测、区分和计数。结果:该检测装置与传统的落板法相比,能在20 min之内采集到10^(3)个/mL喷洒在空气中的霉菌孢子。结论:采用机载无人机在空气中检测食品(饮料)生产车间霉菌污染,操作简单、可行。
Objective:To monitor and control mold spores contamination effectively in food(beverage)processing workshops.Methods:The mold spores are enriched and classified by microfluidic chip,and the air aerosol was collected in 2~10 micron channel and prepared on film.Finally,spore images were taken by camera and electron microscope,and spores were detected,distinguished and counted by Canny algorithm.Results:Compared with the traditional falling plate method,the detection device designed in this paper could detect 10^(3) cell/mL mold spores sprayed in the air within 20 minutes.Conclusion:Using airborne UAV to detect mold pollution in food(beverage)processing workshop in the air is simple and feasible.
作者
赵中营
徐佩锋
严方
ZHAO Zhong-ying;XU Pei-feng;YAN Fang(Jiangsu Vocational College of Agriculture and Forestry,Zhenjiang,Jiangsu 212400,China)
出处
《食品与机械》
北大核心
2022年第1期83-86,151,共5页
Food and Machinery
基金
江苏农林职业技术学院院级重点项目(编号:2018kj12)。
关键词
微流控
机载
霉菌孢子
食品(饮料)加工车间
microfluidic
airborne
fungal spores
food(beverage)processing workshop
