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Fruit Volatile Analysis Using an Electronic Nose
Published on: March 30, 2012
根据ICP/MS数据使用统计算法对越南果 (Anacardium occidentale L.) 产品进行分类:对食品分类的研究
Trung Nguyen-Quang1, Minh Bui-Quang1, Thinh Pham-Van2
1Center for Research and Technology Transfer (CRETECH), Vietnam Academy of Science and Technology (VAST), 18 Hoang Quoc Viet Road, Hanoi, Vietnam.
这项研究使用了元素分析和统计方法来区分果仁的来源. 这些发现使子能够准确地进行地理区分,这对于食品真实性和可追溯性至关重要.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 微量元素分析 微量元素分析
背景情况:
- 食品真实性和可追溯性对于消费者安全和市场完整性至关重要.
- 现有的指纹采集方法需要优化,以适用于现实世界.
- 果仁缺乏一个普遍的方法来区分原产地.
研究的目的:
- 建立一种方法来确定商业化果仁的地理原产地.
- 为了分析果原产地元素组成.
- 应用多变量统计方法来对果仁进行分类.
主要方法:
- 感应合等离子体质谱 (ICP-MS) 用于确定元素含量.
- 分析了来自5个品牌的300个果仁样本中的21个元素.
- 主要组件分析 (PCA) 用于数据分析和分类.
主要成果:
- 在不同品牌的果仁样本中发现了21种元素的平均值的显著差异.
- 根据其地理来源,PCA成功地对果仁样本进行了分类.
- 识别了对果仁歧视的关键元素标记.
结论:
- 与统计分析相结合的元素分析是有效的果仁来源确定.
- 这项研究是准确认证果仁真实性的基本步骤.
- 开发的方法有助于确定销售的果仁的地理来源.
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