精橄油营养价值评分算法的化学数据和关系
Lorenzo Cecchi1, Filippo Conticelli2, Bruno Zanoni1
1Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Piazzale Delle Cascine 16, 50144 Florence, Italy.
Molecules (Basel, Switzerland)
|January 26, 2024
概括
一个新的评分算法根据化学成分对额外处女橄油 (EVOO) 的营养价值进行排名. 这个工具客观地评估了生产者和消费者的EVOO质量.
科学领域:
- 食品化学 食品化学
- 营养科学 营养科学
- 农业科学 农业科学
背景情况:
- 额外处女橄油 (EVOO) 由于其营养益处而受到重视.
- 目前还没有基于化学成分的标准化方法来对EVOO的营养价值进行排名.
- 现有的评估并不统一地考虑宏观和微量营养素,包括化合物和托科菲醇.
研究的目的:
- 开发一个评分算法来对EVOO样本的营养价值进行排名.
- 创建一个系统,考虑有益的化合物和氧化敏感性.
- 为了确保该算法的普遍有效性在不同的EVOO样本中.
主要方法:
- 利用了来自全球1000多个EVOO样本的数据,涵盖了各种生产年和地区.
- 分析了关键的营养成分:多科菲醇 (HPLC-DAD),化合物 (HPLC-DAD) 和脂肪酸 (GC-MS).
- 纳入负参数,如自由酸度,过氧化物值和光谱光度指数到数学模型中.
主要成果:
- 开发了一个数学模型,根据化学成分生成六个可变值.
- 将这些值与一个常数集成,创建了营养价值评分 (NVS) 算法.
- 成功验证了NVS算法对来自意大利地区的约300个EVOO样本进行验证,得分从0到100分.
结论:
- 拟议的营养价值评分 (NVS) 提供了一种简单而客观的方法来对EVOO营养价值进行排名.
- 该NVS算法基于全面的化学分析,包括有益化合物和氧化指标.
- 该工具提高了生产者和消费者对EVOO营养质量的理解和可比性.
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