A method for predicting the growth of Pseudomonas aeruginosa based on hyperspectral images
A Pseudomonas aeruginosa, hyperspectral image technology, applied in image analysis, image data processing, measurement devices and other directions, can solve the problem of time-consuming and laborious construction of growth prediction models, achieve novel technologies and methods, avoid the use of chemical reagents, The effect of reducing labor
Inactive Publication Date: 2018-01-30
NANJING AGRICULTURAL UNIVERSITY
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Problems solved by technology
[0004] In view of the above-mentioned technical development status, the purpose of the present invention is to solve the problem of time-consuming and laborious construction of the growth prediction model of the main spoilage microorganisms and pathogenic microorganisms in meat products in the prior art, and to develop a rapid non-destructive detection method for hyperspectral image detection to meet the needs of food Urgent need for quality and safety control
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[0044] A hyperspectral image technology method for predicting the growth of Pseudomonas aeruginosa, the specific implementation is as follows:
[0045] 1 Materials and methods
[0046] Pseudomonas aeruginosa was provided by the Laboratory of Food Science and Technology College of Nanjing Agricultural University.
[0047] The medium used is beef extract peptone medium, and the specific composition is: 3g beef extract, 10g peptone, 5g NaCl, 15-20g agar, 1000mL water, pH 7.4-7.6 (1mol / L NaOH, 1mol / L HCl)
[0048] The strain culture method is as follows: prepare 10 sterilized culture mediums, inoculate Pseudomonas aeruginosa by plane streaking, and culture. After culturing the strains for 2 days, separate and culture again to 10 new medium for culture.
[0049] Rinse the secondary cultured strains with sterile water 3-5 times to prepare 10 mL of bacterial suspension, drop a drop of bacterial liquid onto a hemocytometer, and count under a microscope. According to the count, conv...
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Abstract
The invention relates to a method for predicting the growth stage of Pseudomonas aeruginosa, a typical meat spoilage bacterium, based on a hyperspectral image, which belongs to a non-destructive technology for rapid detection and monitoring of food quality and safety. Through the hyperspectral imager, the spectral and image information of two concentrations of Pseudomonas aeruginosa on the glass plate medium was obtained for 48 hours, the spectral and image features were extracted, and the growth model of Pseudomonas aeruginosa was constructed, which was different from the traditional Compared with the growth conditions obtained by the microbial growth detection means, the correlation coefficient was 0.92-0.99. The invention provides a new idea and new technology for the growth detection of microorganisms, and can be used for the detection, monitoring and control of the quality and safety of meat products.
Description
technical field [0001] The invention relates to a method for predicting the growth of Pseudomonas aeruginosa by hyperspectral image technology, and belongs to the technical field of rapid and nondestructive detection, monitoring and control of food quality and safety. Background technique [0002] Meat and meat products are an important source of nutrition for humans, but they are extremely susceptible to microbial contamination, including spoilage bacteria and pathogenic bacteria, during slaughter, processing, storage and sales. The growth detection of spoilage and pathogenic microorganisms in meat products can provide new ideas and solutions for the prevention and control of these microbial diseases. The establishment of the traditional microbial growth model is mainly based on the functional relationship between the amount of microorganisms expressed (or the response value measured together, such as turbidity) and time. Microbial quantification of the model is colony for...
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IPC IPC(8): G01N15/14G06T7/00G06F19/00
Inventor 潘磊庆顾欣哲屠康孙晔王文雪胡鹏程张伟
Owner NANJING AGRICULTURAL UNIVERSITY