Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy.
Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy.
Anal Bioanal Chem. 2023 Jan;415(1):119-135. doi: 10.1007/s00216-022-04398-5. Epub 2022 Nov 11.
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.
传统的食品分析技术基于离线实验室方法,这些方法既昂贵又耗时,而且通常需要合格的人员。尽管具有高精度和计量可追溯性的标准,但这些成熟的方法无法满足食品安全和质量控制所需的实时过程监测和现场决策。未来的食品检测包括快速、具有成本效益、便携和简单的定性筛选和定量检测食品污染物的方法,以及在生产线上进行连续、实时的测量。通过过程分析技术(PAT)实现过程自动化是食品行业的一个发展趋势,目的是提高产品质量、安全性和一致性,缩短生产周期时间,减少产品浪费或返工,并实现实时产品放行。用于即时(PON)筛选的新型分析方法可以通过允许非专业人员(例如消费者)使用便携式仪器、智能手机甚至肉眼检查在现场测试食品产品,或者让农民和小生产者在现场监测产品,从而极大地改善食品检测。这需要研究界和设备制造商的关注,以确保通过对性能特征的演示和关键评估,从 PAT 策略和 PON 测试中获得可靠的测量结果。在实际条件下方法的适用性是一个优先事项,不应忽视,以维持有效的和协调的食品安全政策。