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Growth prediction models of Vibrio parahaemolyticus with different serotypes
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Jiang-Shan LI1, Yun-Long NI2, Xin QIAO2, Yan-Mei WANG2, Jia-Lu DU2, Xiang HUO1, 2, 3, 4, *
Journal of Food Safety & Quality | 2025, 16(1) : 170 - 179
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Journal of Food Safety & Quality | 2025, 16(1): 170-179
Special Topic: Detection and Prevention of Foodborne Pathogenic Microorganisms
Growth prediction models of Vibrio parahaemolyticus with different serotypes
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Jiang-Shan LI1, Yun-Long NI2, Xin QIAO2, Yan-Mei WANG2, Jia-Lu DU2, Xiang HUO1, 2, 3, 4, *
Affiliations
  • 1. School of Public Health, Nanjing Medical University, Nanjing 211166, China
  • 2. Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
  • 3. Jiangsu Province Engineering Research Center of Health Emergency, Nanjing 210009, China
  • 4. Jiangsu Provincial Medical Key Laboratory of Pathogenic Microbiology in Emerging Major Infectious Diseases, Nanjing 210009, China
Published: 2025-01-15 doi: 10.19812/j.cnki.jfsq11-5956/ts.20240923006
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Objective To study the growth heterogeneity of different serotypes of Vibrio parahaemolyticus (VP) under different culture conditions, and to establish growth prediction models for epidemic strains (O3:K6, O10:K4). Methods Seventeen VP strains of different serotypes were selected as the research objects, and different culture conditions were set, including salinity (0.5%-10.0%), pH (3.0-11.0) and temperature (16-50 ℃). The modified Gompertz model was used to establish the primary growth model. The optimal growth range was determined by comparing the maximum OD value (Ymax), the Lag time (λ) and maximum specific growth rate (μmax). The second-order response surface growth model was established by Design-Expert 13 software. Results There was growth heterogeneity among VP strains. The coefficient of variation for differences in growth parameters μmax and Ymax between VP strains at salinity levels of 1.0%-3.0%, pH of 7.0-9.0, and temperatures of 20-40 ℃ was lower than that under other culture conditions. The growth ability of the epidemic strains (serotype O3:K6, O10:K4) was significantly greater than that of other serotypes when the salinity was 7.0%, the pH was 10.0, and the temperature was 16 ℃, with a statistically significant difference (P<0.05). The determination coefficients of the first-order growth models fitted under different salinity and temperature were greater than 0.98, and the correlation coefficients under different pH were greater than 0.9. The second-order response surface growth model was significant (P<0.05), and the determination coefficient was greater than 0.94. Conclusion There is growth heterogeneity among VP strains, but in certain extreme conditions, there are more obvious growth differences between different serotypes. The modified Gompertz model and the second-order response surface growth model can be used to analyze and predict the growth of VP under different experimental conditions, which can provide reliable and safe prediction for the growth trend of VP.

Vibrio parahaemolyticus  /  serotype  /  growth prediction model
Jiang-Shan LI, Yun-Long NI, Xin QIAO, Yan-Mei WANG, Jia-Lu DU, Xiang HUO. Growth prediction models of Vibrio parahaemolyticus with different serotypes[J]. Journal of Food Safety & Quality, 2025 , 16 (1) : 170 -179 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20240923006
Year 2025 volume 16 Issue 1
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20240923006
  • Receive Date:2024-09-23
  • Online Date:2025-07-21
  • Published:2025-01-15
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  • Received:2024-09-23
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Affiliations
    1. School of Public Health, Nanjing Medical University, Nanjing 211166, China
    2. Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
    3. Jiangsu Province Engineering Research Center of Health Emergency, Nanjing 210009, China
    4. Jiangsu Provincial Medical Key Laboratory of Pathogenic Microbiology in Emerging Major Infectious Diseases, Nanjing 210009, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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