Microbiological and Chemical Analysis of Food Collected under Official Control in the Emilia-Romagna Region of Northern Italy, 2014–2019

JOURNAL OF FOOD PROTECTION(2023)

引用 0|浏览16
摘要
This study analyzed data from 6 years (2014-2019) of official controls in the Emilia-Romagna region (northern Italy) to investigate the frequencies of human pathogens and chemical hazards in foods during production and distribution. Campylobacter spp. was the most prevalent pathogen, isolated in 4.4% of the 1,078 food samples examined, followed by Salmonella spp. (2.8%), Shiga toxin-producing Escherichia coli (STEC) (1.9%), and Listeria monocytogenes (0.9%). Salmonella serotyping showed that the isolates belonged to the serotypes most commonly isolated from humans in Emilia-Romagna. These serotypes were as follows: S. Infantis (34.8%), mostly isolated from chicken, monophasic S. Typhimurium (1,4, [5],12:i:-) (12.6%), S. Bredeney (8.9%), and S. Derby (8.6%). No Clostridium botulinum, Yersinia spp., and Shigella spp. were isolated. No positivity was detected for hepatitis A virus, while 5.1% of samples taken in the production phase of the food chain were found to be contaminated with norovirus. The chemical analyses identified environmental contaminants within legal limits (heavy metals, 0.6% positive overall; mycotoxins, 0.4% positive overall), analytes subjected to monitoring (perfluoro-alkyl substances (PFASs), 6.2% positive overall; inorganic arsenic, no positives overall) and process contaminants and additives within legal limits (acrylamide, 9.6% positive overall; permitted or nonpermitted additives, 0.9% positive overall). Only one sample showed dioxins and polychlorinated biphe-nyls (PCBs) at levels higher than the legal limits. The monitoring by competent authorities (CA) of food con-tamination can generate useful data that can be used as a basis for estimating the exposure to different food contaminants over time and for evaluating the effects of control measures on the contamination of food.
更多
查看译文
关键词
Chemical hazards,Competent authorities,Food category,Human pathogen,Regional Food Sampling Plan
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
0
您的评分 :

暂无评分

数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn