A new method to predict the content changes of aroma compounds during the aging process of Niulanshan Baijiu using the GM (1,1) gray model
A new method to predict the content changes of aroma compounds during the aging process of Niulanshan Baijiu using the GM (1,1) gray model
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DOI：
10.1002/ffj.3682
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发表时间：
2021-11
影响因子：
2.6
通讯作者：
Zhen Wang;Jinwang Wei;Ying Wang;Tingting Zhu;Mingquan Huang;Jihong Wu;Youqiang Xu;Jinglin Zhang;Bowen Wang
中科院分区：
文献类型：
--
作者：
Zhen Wang;Jinwang Wei;Ying Wang;Tingting Zhu;Mingquan Huang;Jihong Wu;Youqiang Xu;Jinglin Zhang;Bowen Wang
牛栏山白酒是一种淡味白酒，在中国非常受欢迎。采用灰色数学模型[GM（1，1）]预测了NLS老化过程中关键致臭剂的含量变化。首先，通过气相色谱-嗅觉-质谱（GC-O-MS）进行NLS的气味实验。对4个年份的NLS中的34种香气成分进行了定性定量分析，并计算了这些香气成分的OAVs，其中OAVs >1的有18种，为NLS中的重要香气成分，最后对这些香气成分的含量进行了灰色预测。预测值与实际值之间的相关性高达0.9969。这是首次将GM（1，1）模型应用于白酒成分分析，良好的预测结果表明了GM（1，1）模型在预测白酒陈酿过程中化合物含量变化方面的适用性。
Niulanshan Baijiu (NLS), a kind of light‐flavor Baijiu, is very popular in China. The gray model [GM (1,1)], a mathematical model, is used to predict the content changes of key odorants in NLS during the aging process. First, the smell experiment of NLS was carried out by gas chromatography‐olfactometry‐mass spectrometry (GC‐O‐MS). Then, 34 aroma compounds in NLS aged four different years were identified and quantitated, calculated the OAVs of these aroma compounds, there were 18 compounds with OAVs >1, which were considered as important aroma compounds in NLS, and finally, the gray prediction was carried out by modeling the content of these compounds. The correlations between the predicted values and actual values were as high as 0.9969. This is the first time that GM (1,1) is used in liquor content analysis, and the good prediction results show the applicability of GM (1,1) in predicting the content change of compounds during Baijiu aging.