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利用快速 XRF 分析对番茄果实特征进行可行性研究,以进行质量评估和食品可追溯性。

Feasibility study of tomato fruit characterization by fast XRF analysis for quality assessment and food traceability.

机构信息

Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy.

Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Italy.

出版信息

Food Chem. 2022 Jul 30;383:132364. doi: 10.1016/j.foodchem.2022.132364. Epub 2022 Feb 7.

Abstract

Food product nutritional and sensory characteristics are often deeply linked to its territory of origin; therefore, its authentication by means of elemental composition becomes crucial for traceability and fighting food fraud. This study aims to establish a fast and reproducible procedure for origin and quality assessment of Sicilian tomato fruits, including PGI "Pomodoro di Pachino", by using the X-ray fluorescence (XRF) technique. Measurements were performed on different parts of PGI Pachino tomatoes belonging to the same production lot. Principal Component and Cluster Analyses show that the samples cluster accordingly with the production lot, disentangling the different parts of the fruit. This procedure, which uses XRF yield elemental pattern and statistical analysis, establishes a solid basis for characterizing elemental profiles by a fast XRF in-situ campaign, supporting the traceability system. The reliability of XRF results was confirmed by comparing elemental concentrations with ICP-MS measurements, performed for comparison, and tomato literature values.

摘要

食品产品的营养和感官特性通常与其原产地密切相关;因此,通过元素组成对其进行认证对于可追溯性和打击食品欺诈至关重要。本研究旨在建立一种快速且可重现的程序,用于通过 X 射线荧光 (XRF) 技术对西西里番茄果实(包括 PGI“Pachino 番茄”)的起源和质量进行评估。对属于同一生产批次的 PGI Pachino 番茄的不同部位进行了测量。主成分和聚类分析表明,样品按照生产批次聚类,分离出果实的不同部位。该程序使用 XRF 产率元素模式和统计分析,通过快速的 XRF 现场活动为特征元素分布建立了坚实的基础,支持可追溯系统。通过将元素浓度与 ICP-MS 测量值进行比较,证实了 XRF 结果的可靠性,ICP-MS 测量值用于比较和番茄文献值。

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