文献类型：期刊文献

英文题名：Study on the Boundary Growth Model of Burkholderia gladioli pv. cocovenenans

作者：Li S.; Tian X.; Huo B.; Arumugam D.; Bai L.; Suo Y.; Zhu X.; Han R.; Wang J.

机构：[1]College of Food Science and Engineering, Qingdao Agricultural University, Shandong, Qingdao, 266109, China;[2]College of Food Science and Technology, Guangdong Ocean University, Zhanjiang, 524088, China;[3]NHC Key Laboratory of Food Safety Risk Assessment, Chinese Academy of Medical Sciences Research Unit (No. 2019RU014), China National Center for Food Safety Risk Assessment, Beijing, 100022, China;[4]Laboratory of Quality and Safety Risk Assessment for Agro-Products of Ministry of Agriculture and Rural Affairs, Institute of Agro-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China

年份：2026

卷号：89

期号：8

外文期刊名：Journal of Food Protection

收录：Scopus(收录号：2-s2.0-105042292286)

语种：英文

外文关键词：Bongkrekic acid; Burkholderia gladioli pv. cocovenenans; Environmental factors; Logistic regression model; Predictive microbiology

外文摘要：Burkholderia gladioli pv. cocovenenans (B. cocovenenans) is a pathogenic microorganism frequently isolated from food and environmental samples. It produces the mitochondrial toxin bongkrekic acid (BA), which leads to severe gastrointestinal and nervous system symptoms and can be fatal. This study aimed to investigate and model the probability of B. cocovenenans growth in broth under the influence of the environmental factors, including pH, NaCl concentration, and temperature. The growth data of B. cocovenenans in LB broth were obtained with pH values of 1.0–13.0, NaCl concentration of 0.5%–1.5%, and incubation temperatures of 15, 20, 25, 30, 37, 40, and 45 ℃ for 120 h. The resulting growth/no-growth data were fitted into logistic regression to develop a probabilistic model describing the combined effects of pH-NaCl-temperature combinations on bacterial growth. Among the 203 tested combinations, bacterial growth was observed in 71. The logistic regression model showed good predictive performance, with a concordance index of 0.944 and a concordance rate of 94.22%. The developed model provides reliable predictions of B. cocovenenans growth probability and has practical implications for food safety and public health. ? 2026 The Authors