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Sample detection method in Howard fungus measurement method for canned food

A technology for canned food and mold, which is applied to the field of sample inspection in the Hao-style mold measurement method of canned food, can solve the problems of large human error and error in sample inspection, reduce disputes, improve detection reliability, and reduce visual fatigue. Effect

Inactive Publication Date: 2012-03-07
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

[0004] The present invention aims at the problem of large human errors in sample inspection in the current Hao-type mold measurement method, and proposes a sample inspection method in the Hao-type mold measurement method for canned food. The method of image measurement is used to realize the length of mold hyphae Computer measurement, positive visual field automatic counting, saving and reporting functions
Solved the problem of human error

Method used

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  • Sample detection method in Howard fungus measurement method for canned food
  • Sample detection method in Howard fungus measurement method for canned food
  • Sample detection method in Howard fungus measurement method for canned food

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Embodiment Construction

[0014] The sample inspection method in the Hau-style mold measurement method of canned food mainly includes the following steps: 1. Mold image acquisition, 2. Automatic generation of micrometric grids, 3. Computer measurement of suspected positive fields, 4. Automatic generation of test reports.

[0015] 1. Mold image collection:

[0016] Such as figure 1 Schematic diagram of the structure of the sample inspection device in the Howe mold measurement method of canned food shown, the device includes a biological microscope workbench 1 (including light source), a Howe measurement glass slide 2, ×10 objective lens 3, ×10 eyepiece lens 4, 30 Mega-pixel CMOS digital camera, USB2.0 data cable 6 and notebook computer 7 (with image acquisition and measurement program), Howe measurement slide 2 is located above the workbench 1 of the biological microscope, ×10 objective lens 3, ×10 eyepiece 4 Located on the top of the Howe measurement glass slide 2, a 300,000-pixel CMOS camera 5 is ins...

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Abstract

The invention relates to a sample detection method in a Howard fungus measurement method for canned food. An image measurement method is used to realize the functions such as computer measurement of the fungus hypha length, positive visual field automatic counting, saving and reporting, and the like. On one hand, the device and the method have the advantages of improving the detection reliability of the Howard fungus measurement method, reducing the dispute on detection results and reducing visual fatigue of operating staff; on the other hand, as the computerized treatment is adopted for the measurement process and results, the device and the method facilitate the informatization management of a detection mechanism.

Description

technical field [0001] The invention relates to the field of food safety testing, in particular to a sample testing method in the method for measuring Hao's mold in canned food. Background technique [0002] The national standard GB / T 4789.15 "Mold direct microscopic examination and counting method" is an industry standard for the detection of mold content in canned food. In this standard, it is clearly pointed out that "the commonly used method is the Hao mold measurement method". Howard's mold measurement method has also been approved by the Food and Agriculture Organization of the United Nations (FAO) and the World Health Organization (WHO). The equipment used mainly includes a biological microscope with an object detection field of view of 1.382 mm and a magnification of about 100 times, and a micrometer with a standard scale (0.23 mm). [0003] In the implementation process of "Hao's mold measurement method", monocular or binocular biological microscopes are mostly us...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/06C12M1/34
Inventor 孙玉国戈兆祥丁仪德
Owner UNIV OF SHANGHAI FOR SCI & TECH
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