测量伪谷物中的矿物质使用诱导合的等离子体光发射光谱法:最佳消化方法是什么?
Ana C Nascimento1, Carla Motta1, Andreia Rego1
1Food and Nutrition Department, National Institute of Health Doutor Ricardo Jorge, 1649-016 Lisbon, Portugal.
Foods (Basel, Switzerland)
|February 26, 2025
概括
一个新的分类系统帮助实验室在没有参考材料的情况下评估伪谷物分析方法. 它评估矿物质含量的消化技术,指导方法接受或谨慎的决定.
科学领域:
- 分析化学 分析化学
- 食品科学 食品科学 食品科学
- 营养科学 营养科学
背景情况:
- 诸如菜,杏仁和白麦等伪谷物因其营养价值和适合无质和植物性饮食而越来越受欢迎.
- 准确的矿物质分析在伪谷物中至关重要,但由于缺乏标准化的计量工具来进行矩阵匹配而受到挑战.
- 现有的方法需要适应这些伪谷物矩阵中必需矿物质的可靠量化.
研究的目的:
- 开发和验证一种新的分类系统,用于评估伪谷物分析中的实验室方法性能.
- 评估不同消化方法 (干灰,微波,石墨块酸消化) 适用于伪谷物中矿物质的确定.
- 在没有认证的参考材料的情况下,为实验室对方法选择和数据解释的决策提供一个框架.
主要方法:
- 在菜,花,麦中确定矿物质含量 (Cu, Mn, Fe, Zn, Mg, P, Ca, K, Na).
- 三种消化技术的比较:干灰,微波辅助酸消化和石墨块酸消化.
- 基于检测极限 (LOD),最大不确定性和方法评估的统计比较的分类系统的开发.
主要成果:
- 开发的分类系统有效地根据预先定义的标准将方法性能分为"拒绝"",谨慎使用"或"接受".
- 与干灰和石墨块消化相比,微波消化证明了优先考虑的营养矿物质的多元素分析的优越性能.
- 干粉和石墨块酸消化被发现是微波消化的不太合适的替代方案,用于全面的矿物质分析.
结论:
- 拟议的分类系统为实验室提供了一种实用方法,在没有参考材料的情况下验证伪谷物分析方法.
- 虽然微波消化是多元元素分析的首选方法,但如果接受更高的不确定性目标,其他方法可以产生类似的结果.
- 该研究强调了方法验证和不确定性评估对于确保伪谷物可靠营养数据的重要性.
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