根据UPLC-QTOF-MS组合分子网络和多变量统计分析,对来自不同来源的花油脂的表征和歧视
Xingfu Cai1, Juanjuan Wu1,2, Yunhe Lian1
1Chenguang Biological Technology Group Co., Ltd., Handan 057250, China.
Metabolites
|April 26, 2024
概括
超高性能液体染色学-四极飞行时间质谱学 (UPLC-QTOF-MS/MS) 确定了来自中国,印度和非洲的黄油中显著的化学差异,使原产地歧视成为可能.
科学领域:
- 自然产品 化学 化学
- 分析化学 分析化学
- 食品科学 食品科学 食品科学
背景情况:
- 红油脂是一种天然色素,来源于包括中国,印度和非洲在内的主要生产地区.
- 地理来源的差异可能会影响黄油脂的化学成分和质量.
- 需要强大的分析方法来根据其来源区分油脂.
研究的目的:
- 从不同地理区域进行质量和差别分析的黄油.
- 识别主要的化学标记物,使油脂与中国,印度和非洲的油脂有区别.
- 为了建立一个质量控制和安全评估金油脂的基础.
主要方法:
- 超高性能液态染色学四极飞行时间质谱学 (UPLC-QTOF-MS/MS) 用于全面的化学分析.
- 全球天然产品社会分子网络 (GNPS) 用于数据分析和化合物识别.
- 应用了多变量统计分析,包括主要组件分析 (PCA) 和正交部分最小平方差分分析 (OPLS-DA).
主要成果:
- 在所有黄油色素样本中,共发现了83种化合物.
- 来自不同地区的油脂素样本之间观察到化学特征的显著差异.
- 在分别比较非洲与新疆,非洲与印度和新疆与印度时,确定了特定数量的差异代谢物 (12,23,38).
结论:
- 该研究使用先进的分析技术,成功地根据地理来源区分了黄油脂.
- 鉴定到的化学标记物为验证黄油的来源提供了依据.
- 这些发现支持加强质量控制,安全评估和油的营养评估.
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