可追溯性范围和样品数量的对豆中矿物元素原产地追踪的影响
Mingming Chen1, Zhigang Quan1, Lili Qian1,2,3
1College of Food Science, Heilongjiang Bayi Agricultural University Daqing China.
Food science & nutrition
|February 2, 2026
概括
矿物元素指纹分析准确地识别了豆的来源. 扩大可追溯范围和增加样本数量可显著提高原产地追踪模型的准确性.
科学领域:
- 农业科学 农业科学
- 分析化学 分析化学
- 食品科学 食品科学 食品科学
背景情况:
- 矿物元素指纹分析是确定农产品原产地的一个关键方法.
- 原产地识别模型的准确性取决于可追溯性范围和样本大小.
研究的目的:
- 建立和评估基于矿物元素组成的豆起源追踪模型.
- 调查可追溯范围和样本数量对模型准确性的影响.
主要方法:
- 从四个不同的地理位置收集了豆样本.
- 使用感应合等离子体质谱法 (ICP-MS) 分析矿物元素含量.
- 开发出原产地追踪模型,使用各种可追溯范围和样本大小的固体测量结果.
主要成果:
- 原产地歧视模型实现了高准确率,泰莱-西水达到100.0%的准确率.
- 使用较大样本数量的模型 (n=600) 与较小样本数量的模型 (n=200,99.0%) 相比,显示出更高的准确性 (99.33%).
- 增加可追溯范围和样本数量明显提高了原产地追踪模型的区分精度.
结论:
- 矿物元素指纹是有效的豆原产地识别.
- 更广泛的地理可追溯性和更大的样本大小导致更准确的原产地歧视.
- 该研究证实了样本选择参数在开发强大的食品追溯系统中的重要性.
关键词:
准确度 准确度 准确度 准确度矿物元素是一种矿物元素.蒙格豆 (Mung Bean) 是一种豆类.原产地可追溯性原产地可追溯性原产地追踪模型的原产地追踪模型样本数量 样本数量可追溯性范围的可追溯性范围更多相关视频
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