用HS-GC-IMS,HS-SPME-GC-MS和多变量统计方法对五种常见奶粉中的挥发性化合物进行区分和表征
Yaxi Zhou1,2,3, Diandian Wang1,2, Jian Zhao2
1College of Biochemical Engineering, Beijing Union University, Beijing 100023, China.
Food chemistry: X
|February 5, 2025
概括
这项研究分析了雅克,驴,驼,山羊和母牛奶粉的独特风味特征. 先进的分析技术确定了关键的挥发性化合物,使其能够在奶粉中进行分化和检测潜在的伪造.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 感官科学 感官科学
背景情况:
- 奶粉的香味显著影响消费者的选择和质量评估.
- 有限的研究存在于不同奶粉类型之间固有的风味变化.
- 处理对奶粉风味的影响已经得到了充分的证据,但内在差异的探索较少.
研究的目的:
- 描述和区分五种常见的中国奶粉的风味特征:雅克,驴,驼,山羊和牛.
- 确定负责每个奶粉类型独特香味的关键挥发性化合物.
- 评估用于粉末牛奶风味分析和伪造检测的综合分析技术的有效性.
主要方法:
- 使用头部空间-气体染色学-离子移动光谱学 (HS-GC-IMS) 和头部空间固相微提取-气体染色学-质谱学 (HS-SPME-GC-MS) 进行挥发性化合物分析.
- 采用多变量统计分析,包括主要组件分析 (PCA),直角局部最小平方区分分析 (OPLS-DA) 和局部最小平方区分分析 (PLS-DA).
- 通过热图可视化数据,并使用预测变量重要性 (VIP) 值确定了关键风味化合物.
主要成果:
- 使用HS-GC-IMS识别了55种挥发性化合物,使用HS-SPME-GC-MS识别了86种挥发性化合物.
- 在五种牛奶粉类型中,在挥发性化合物配置中显示出显著的差异.
- 根据各自分析方法的VIP值,突出显示了27个和24个关键差异化化合物.
结论:
- HS-GC-IMS和HS-SPME-GC-MS的联合应用有效地区分了不同奶粉的风味特征.
- 这些分析方法显示出快速风味分析和检测奶粉产品中的改的巨大潜力.
- 了解固有的风味特征对于乳制品行业的质量控制和产品开发至关重要.
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