1. Mengniu Dairy (Shenyang) Co., LTD., Shenyang 110122, China
2. Inner Mongolia Mengniu Dairy (Group) Co., LTD., Hohhot 011517, China
| Abstract: | Objective: To improve the counting efficiency and realize the traceability of raw data. The applicability, accuracy, precision and repeatability of the automatic colony counter were verified by experiments, Determine the applicability of colony count in the detection of dairy products and raw and auxiliary materials. Methods: The plate pouring method and test piece method are selected for verification test, including psychrophilic bacteria, aerobic spores, thermophilic aerobic spores, lactic acid bacteria count, total number of colonies, coliform, mold, yeast, Staphylococcus aureus and other items. The manual count is compared with the automatic colony counter to determine its feasibility, applicability and accuracy. Results: The colony count of normal Petri dish without background interference was compared with that of 3M test piece. The paired t-test was carried out by visual method and instrument method, P = 0.17, greater than 0.05. There was no significant difference in statistical results, and the colored medium had no significant effect on automatic counting. The counting effect of the instrument is poor when there are needle shaped colonies, the color of colonies is close to that of the culture medium, the contour of colonies is not obvious, the colonies spread greatly and the edges of colonies are irregular, there are food particles and colonies in the culture medium at the same time, or the color of colonies is close to that of food particles, which can not meet the accuracy requirements. Conclusion: For samples with uniform texture, the accuracy and precision of automatic colony counting are relatively good, the work efficiency is high, the operation time of experimental personnel is saved, and the original experimental data and images can be stored in the instrument for a long time. It is a counting method worthy of popularization in the laboratory. However, for the samples and culture medium with interference in the test verification, appropriate measures can be taken to change the counting conditions and manually correct the counting results of the instrument, but the counting efficiency will be reduced, and the laboratory can choose to use it according to the situation. |
| Keywords: | Dairy; Automatic Colony Count; Applicability; Efficiency |
| DOI: | 10.57237/j.wjfse.2022.01.002 |
| 1. | 国家重点研发计划食品安全关键技术研发-食品安全监测与控制技术的全链条区域综合示范-食品安全全程监测控制技术保障体系构建方法研究 (2019YFC1606503). |
| [1] | 张帆. 全自动菌落分析仪的微生物快检应用 [J]. 食品安全导刊, 2011, (12): 28-29. |
| [2] | 马健锦. 基于机器视觉的菌落自动计数软件开发 [J]. 海峡科学, 2019 (01): 37-40. |
| [3] | 杨小青, 杨秋翔, 杨剑. 基于形态学的显微细胞图像处理与应用 [J]. 计算机系统应用, 2016, 25 (3): 220-224. |
| [4] | 张依朗. 基于机器视觉的高通量自动菌落挑取系统研究[D]. 北京化工大学, 2021. |
| [5] | 周振, 易小波, 赵辉煌. 一种基于小波变换的血液细胞计数方法 [J]. 衡阳师范学院学报, 2015, 30 (3): 162-165. |
| [6] | 苏永健. 菌落计数器校准方法研究以及其测量不确定度分析 [J]. 计量与测试技术, 2019, 46 (02): 112-114. |
| [7] | Suryani E, Wiharto W, Polvonov N. Identification and counting white blood cells and red blood cells using image processing case study of leukemia [J]. Blood, 2015, 2 (6): 2850-2858. |
| [8] | 梁春梅, 常建军, 喻东威, 等. 自动菌落计数仪在乳品检测中的应用研究 [J]. 食品安全质量检测学报, 2020, 11 (01): 146-152. |
| [9] | 伏广伟, 张珍竹, 崔绮嫦, 等. 全自动菌落计数仪在纺织检测中的应用研究 [J]. 中国纤检, 2021 (02): 66-69. |
| [10] | 武宗茜, 王鹏, 丁天怀. 活动轮廓模型在重叠藻细胞计数中的应用 [J]. 计算机工程, 2012, 38 (3): 209-211. |
| [11] | 王国新, 张长利, 房俊龙. 基于图像处理技术的菌落自动计数系统的研究[J]. 中国乳品工业, 2006, 34 (2): 40-42. |
| [12] | Biswas S, Ghoshal D, Hazra R. A new algorithm of image segmentation using curve fitting based higher order polynomial smoothing [J]. Intern J Light Electron Opt, 2016, 127 (20): 8916-8925. |
| [13] | Medeiros RS, Scharcanski J, Wong A. Image segmentation via multi-scale stochastic regional texture appearance models [J]. Comput Vis Imag Understand, 2016, 142 (C): 23-36. |
| [14] | 崔绮嫦, 刘泽姿, 罗桂莲, 等. 基于人工智能的全自动菌落计数仪研发 [J]. 中国纤检, 2020 (12): 66-69. |
| [15] | 郭晓敏. 基于显微图像的颗粒计数方法研究 [D]. 杭州:浙江大学, 2014. |
| [16] | G6全自动菌落计数分析仪 [J]. 食品安全导刊, 2010 (07): 33. |
| [17] | 李艳肖, 胡雪桃, 张芳, 等. 基于高光谱技术的菌落图像分割与计数 [J]. 农业工程学报, 2020, 36 (20): 326-332. |
| [18] | 刘胜桃, 秦思文, 鲍晓凤, 等. TTC在乳及乳制品菌落总数检测中的应用 [J]. 食品研究与开发, 2016, 37 (24): 135-139. |
| [19] | 李光泽. 食品微生物检验菌落总数测定方法的效果分析 [J]. 中国卫生产业, 2016, 13 (1): 134-135. |
| [20] | Ren D, Chen P, Wang Y, et al. Research and application on the characteristics of compound cold water soluble gel in petrifilm aerobic count plates [J]. LWT-Food Science and Technology. 2017, 82: 335-341. |
We invite active, qualified and high profile scientists and researchers to join as Editorial Board Members.
Join UsScholars with a strong interest in reviewing are invited to join the reviewer panel to ensure the quality of the research to be published.
Join Us