Suppr超能文献

ComBase 模型可有效预测单核细胞增生李斯特菌在 10 种完整生的水果和蔬菜上的命运。

ComBase Models Are Valid for Predicting Fate of Listeria monocytogenes on 10 Whole Intact Raw Fruits and Vegetables.

机构信息

Department of Food Science, 65 Dudley Road, Rutgers University, New Brunswick, New Jersey 08901.

Department of Food Science & Technology, 1230 Washington Street S.W., Blacksburg, Virginia 24061, USA.

出版信息

J Food Prot. 2021 Apr 1;84(4):597-610. doi: 10.4315/JFP-20-327.

Abstract

ABSTRACT

Listeria monocytogenes was associated with more than 60 produce recalls, including tomato, cherry, broccoli, lemon, and lime, between 2017 and 2020. This study describes the effects of temperature, time, and food substrate as factors influencing L. monocytogenes behavior on whole intact raw fruits and vegetables. Ten intact whole fruit and vegetable commodities were chosen based on data gaps identified in a systematic literature review. Produce investigated belong to major commodity families: Ericaceae (blackberry, raspberry, and blueberry), Rutaceae (lemon and mandarin orange), Roseaceae (sweet cherry), Solanaceae (tomato), Brassaceae (cauliflower and broccoli), and Apiaceae (carrot). A cocktail of five L. monocytogenes strains that included clinical, food, or environmental isolates linked to foodborne outbreaks was used to inoculate intact whole fruits and vegetables. Samples were incubated at 2, 12, 22, 30, and 35°C with relative humidities matched to typical real-world conditions. Foods were sampled (n = 6) for up to 28 days, depending on temperature. Growth and decline rates were estimated using DMFit, an Excel add-in. Growth rates were compared with ComBase modeling predictions for L. monocytogenes. Almost every experiment showed initial growth, followed by subsequent decline. L. monocytogenes was able to grow on the whole intact surface of all produce tested, except for carrot. The 10 produce commodities supported growth of L. monocytogenes at 22 and 35°C. Growth and survival at 2 and 12°C varied by produce commodity. The standard deviation of the square root growth and decline rates showed significantly larger variability in both growth and decline rates within replicates as temperature increased. When L. monocytogenes growth occurred, it was conservatively modeled by ComBase Predictor, and growth was generally followed by decreases in concentration. This research will assist in understanding the risks of foodborne disease outbreaks and recalls associated with L. monocytogenes on fresh whole produce.

摘要

摘要

2017 年至 2020 年间,李斯特菌与超过 60 次的农产品召回事件有关,包括番茄、樱桃、西兰花、柠檬和酸橙。本研究描述了温度、时间和食物基质作为影响单核细胞增生李斯特菌在整个完整生的水果和蔬菜上行为的因素。根据系统文献综述中确定的数据空白,选择了 10 种完整的生水果和蔬菜商品。调查的农产品属于主要商品家族:Ericaceae(黑莓、覆盆子和蓝莓)、Rutaceae(柠檬和橘子)、Roseaceae(甜樱桃)、Solanaceae(番茄)、Brassaceae(花椰菜和西兰花)和 Apiaceae(胡萝卜)。使用包含与食源性暴发相关的临床、食品或环境分离株的五种单核细胞增生李斯特菌菌株混合物来接种完整的生水果和蔬菜。将样品在 2、12、22、30 和 35°C 下孵育,相对湿度与实际情况相匹配。根据温度,最多可对样品进行 28 天的采样(n = 6)。使用 DMFit(一个 Excel 插件)来估计生长和衰减率。将生长率与 ComBase 模型预测的单核细胞增生李斯特菌生长率进行比较。几乎每个实验都显示了初始生长,随后是随后的下降。除了胡萝卜,单核细胞增生李斯特菌能够在所有测试的整个完整的农产品表面上生长。10 种农产品在 22 和 35°C 下支持单核细胞增生李斯特菌的生长。在 2 和 12°C 下,不同的农产品商品的生长和存活情况不同。随着温度的升高,平方根生长和衰减率的标准差在复制过程中表现出更大的生长和衰减率变化。当单核细胞增生李斯特菌发生生长时,ComBase Predictor 会保守地对其进行建模,并且通常会随着浓度的降低而出现生长。这项研究将有助于了解与生完整农产品上的单核细胞增生李斯特菌相关的食源性疾病暴发和召回的风险。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验