可追溯性
风险分析(工程)
食品安全
质量(理念)
产品测试
过程(计算)
产品(数学)
计算机科学
食品加工
可靠性(半导体)
一致性(知识库)
过程分析技术
可靠性工程
食品工业
工程类
在制品
运营管理
业务
政治学
软件工程
食品科学
数学
量子力学
医学
法学
化学
认识论
功率(物理)
人工智能
操作系统
病理
哲学
几何学
物理
作者
Monica Mattarozzi,Eleni Laski,Alessandro Bertucci,Marco Giannetto,Federica Bianchi,Claudia Zoani,Maria Careri
标识
DOI:10.1007/s00216-022-04398-5
摘要
Traditional techniques for food analysis are based on off-line laboratory methods that are expensive and time-consuming and often require qualified personnel. Despite the high standards of accuracy and metrological traceability, these well-established methods do not facilitate real-time process monitoring and timely on-site decision-making as required for food safety and quality control. The future of food testing includes rapid, cost-effective, portable, and simple methods for both qualitative screening and quantification of food contaminants, as well as continuous, real-time measurement in production lines. Process automatization through process analytical technologies (PAT) is an increasing trend in the food industry as a way to achieve improved product quality, safety, and consistency, reduced production cycle times, minimal product waste or reworks, and the possibility for real-time product release. Novel methods of analysis for point-of-need (PON) screening could greatly improve food testing by allowing non-experts, such as consumers, to test in situ food products using portable instruments, smartphones, or even visual naked-eye inspections, or farmers and small producers to monitor products in the field. This requires the attention of the research community and devices manufacturers to ensure reliability of measurement results from PAT strategy and PON tests through the demonstration and critical evaluation of performance characteristics. The fitness for purpose of methods in real-life conditions is a priority that should not be overlooked in order to maintain an effective and harmonized food safety policy.
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