食品(饮料)加工车间机载微流控霉菌检测装置
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赵中营,男,江苏农林职业技术学院讲师,硕士。

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江苏农林职业技术学院院级重点项目(编号:2018kj12)


Detection device for microfluidic molds airborne in food (beverage) processing workshop
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    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103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。

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    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 103cell/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.

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赵中营,徐佩锋,严方.食品(饮料)加工车间机载微流控霉菌检测装置[J].食品与机械,2022,(1):81-84.
ZHAO Zhong-ying, XU Pei-feng, YAN Fang. Detection device for microfluidic molds airborne in food (beverage) processing workshop[J]. Food & Machinery,2022,(1):81-84.

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  • 在线发布日期: 2022-07-04
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