食品加工
人口
生物技术
生产(经济)
风险分析(工程)
业务
食品工业
食品安全
杠杆(统计)
计算机科学
环境卫生
生物
医学
食品科学
经济
机器学习
宏观经济学
作者
Arun K. Bhunia,Bledar Bisha,Andrew Gehring,Byron F. Brehm‐Stecher
出处
期刊:Foods
[Multidisciplinary Digital Publishing Institute]
日期:2020-11-10
卷期号:9 (11): 1635-1635
被引量:4
摘要
As the world population has grown, new demands on the production of foods have been met by increased efficiencies in production, from planting and harvesting to processing, packaging and distribution to retail locations. These efficiencies enable rapid intranational and global dissemination of foods, providing longer “face time” for products on retail shelves and allowing consumers to make healthy dietary choices year-round. However, our food production capabilities have outpaced the capacity of traditional detection methods to ensure our foods are safe. Traditional methods for culture-based detection and characterization of microorganisms are time-, labor- and, in some instances, space- and infrastructure-intensive, and are therefore not compatible with current (or future) production and processing realities. New and versatile detection methods requiring fewer overall resources (time, labor, space, equipment, cost, etc.) are needed to transform the throughput and safety dimensions of the food industry. Access to new, user-friendly, and point-of-care testing technologies may help expand the use and ease of testing, allowing stakeholders to leverage the data obtained to reduce their operating risk and health risks to the public. The papers in this Special Issue on “Advances in Foodborne Pathogen Analysis” address critical issues in rapid pathogen analysis, including preanalytical sample preparation, portable and field-capable test methods, the prevalence of antibiotic resistance in zoonotic pathogens and non-bacterial pathogens, such as viruses and protozoa.
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