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基于HS-GC-IMS结合OPLS-DA和GA-PLS的糖果的分类和表征

Mengjie Liu¹, Yang Yang¹, Xiaobo Zhao^1,2

¹Luzhou Laojiao Co. Ltd., Luzhou, 646000, China.

Current research in food science

|February 14, 2024

概括

头部气体染色学-离子移动性谱学 (HS-GC-IMS) 有效地确定了生产的类型. 这种方法准确地区分了有机性,无性和有机无性,甚至检测了改.

科学领域:

分析化学分析化学
食品科学食品科学食品科学
化学测量化学测量化学测量

背景情况:

是Baijiu工业的关键成分,其质量对最终产品至关重要.
区分不同种类的和检测伪造是保持Baijiu质量和真实性的关键.

研究的目的:

开发和验证一种快速分析方法,用于识别在Baijiu生产中使用的主要类型.
评估该方法在检测糖果样本中改的能力.

主要方法:

利用头部气体染色学-离子流动性光谱学 (HS-GC-IMS) 进行新鲜和储存的样品的挥发性化合物分析.
采用化学测量技术,包括遗传算法-部分最小方程 (GA-PLS) 和正交部分最小方程-区分分析 (OPLS-DA),用于数据分析和模型开发.

主要成果:

HS-GC-IMS成功地根据它们的挥发性化合物概况区分了三种主要的类型.
化学测量模型在分类类型方面取得了很高的准确性,新鲜样品的外部预测率为95%,储存样品的外部预测率为100%.
该方法证明了87%的正确分类率,用于检测10%以上的含量 adulterated 有机糖.

结论:

HS-GC-IMS与化学测量相结合,为在Baijiu工业中识别麦品种提供了强大而快速的方法.
这种技术适用于实际的质量控制,可以快速检测类型和改.

关键词:

奸淫的行为奸淫的行为分类分类分类分类.正角部分最小平方差分分析.Sorghum 的意思是 Sorghum 的意思挥发性化合物是一种挥发性化合物.

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