Building an information infrastructure of spectroscopic profiling data for food-drug quality and safety management
Building an information infrastructure of spectroscopic profiling data for food-drug quality and safety management
复制标题
构建食品药品质量安全管理光谱分析数据信息基础设施
DOI：
10.1080/17517575.2019.1684567
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发表时间：
2020
影响因子：
4.4
通讯作者：
Wang Haiyan
中科院分区：
文献类型：
--
作者：
Zhang Yinsheng;Wang Haiyan
近年来，拉曼光谱法和基质辅助激光解吸/电离飞行时间质谱法等快速、无创的光谱分析技术在食品药品质量安全管理中受到了广泛关注。为了建立光谱剖面数据的信息基础设施，本文进行了三个相互关联的研究。首先，建立了一个领域本体来表示各种光谱分析数据和上下文信息。其次，提出了一种处理光谱剖面数据的工作流程。第三，基于领域本体和工作流概要，开发了光谱剖面数据实现与通信系统（SPACS），并在实际环境中进行了验证。
ABSTRACT In recent years, the rapid, non-invasive spectroscopic profiling technologies, such as Raman spectrometry and matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry, have gained great concern for food-drug quality and safety management. To develop an information infrastructure for spectroscopic profiling data, this paper conducted three inter-related researches. First, a domain ontology is built to represent various spectroscopic profiling data and context information. Second, a workflow profile for processing spectroscopic profiling data is proposed. Third, based on the domain ontology and workflow profile, an information system – SPACS (Spectroscopic Profiling Data Achieving and Communication System) was developed and validated in the actual settings.