Method for rapidly and quantitatively analyzing type B paratyphoid salmonella in cucumbers on basis of prediction models
A technology of paratyphoid B and Salmonella, applied in the direction of microorganism-based methods, microorganism measurement/inspection, biochemical equipment and methods, etc., can solve the problems of bacterial contamination and neglect, and achieve easy operation and save food Effects of cultivation and detection of source pathogenic bacteria
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Embodiment 1
[0049] (1) Fresh cucumbers are peeled with a sterilized knife in a sterile room and cut into 1cm 3 For the left and right small dings, spread them evenly in a sterile ultra-clean bench, sterilize them under ultraviolet light for 30 minutes, then turn off the ultraviolet light and ventilate them in the ultra-clean bench for 30 minutes to remove ultraviolet residues. Aseptically pack them into 20g each in In aseptic homogeneous bags, 110 bags are divided into 110 bags, and placed in a 4°C refrigerator for later use;
[0050] (2) Randomly select 2 parts of the above-mentioned aliquoted samples, add 180mL of buffered peptone water respectively, homogenize with a slap-type homogenizer for 1min, take 0.2mL and spread it on the surface of a bismuth sulfite (BS) agar plate, and incubate at 36°C for 48h. Carry out the background detection of cucumber, the background requires no growth of Salmonella;
[0051] (3) Use a sterile pipette to draw 1mL with a concentration of 2×10 4 Inocula...
Embodiment 2
[0056] (1) Use: for market supervision, shelf life prediction of samples positive for Salmonella paratyphi b in cucumber samples in farmers' markets;
[0057] (2) Prediction method: Through market random inspection, it is detected that Salmonella paratyphi b in a cucumber sample is positive, record the initial amount of bacteria and the ambient temperature when the sample is sold at the farmer's market stall at that time, and use the prediction model established to obtain the temperature condition Under the maximum specific growth rate, the safe shelf life time of the cucumber sample can be predicted by the maximum specific growth rate, initial bacterial load, and ambient temperature, and the predicted value when stored at 35°C is obtained by using the established growth kinetic model. The Salmonella growth values of the actual samples in the fresh-cut cucumber storage experiment at 35°C were compared, and the results are shown in Table 2.
[0058] Table 2
[0059]
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