摘要
目的运用中红外光谱法建立浓香型原酒中酯类含量的快速定量检测方法。方法采用中红外光谱分析技术结合气相色谱法对浓香型原酒进行检测,并利用偏最小二乘法分别建立浓香型原酒中己酸乙酯、乙酸乙酯、乳酸乙酯、丁酸乙酯的中红外定量检测模型。结果己酸乙酯、乙酸乙酯、乳酸乙酯检测模型线性关系(r^(2))大于0.99,均方根误差低于0.07 g/L,说明模型具有良好拟合度和稳定性。进行外部验证后的预测结果平均相对误差低于3.50%,说明模型具有良好的检测效果,预测值与真实值接近。丁酸乙酯由于其含量低,光谱范围窄,模型效果较差。结论此方法对浓香型原酒中的己酸乙酯、乙酸乙酯、乳酸乙酯含量具有良好的检测能力,能够满足企业对日常生产原酒进行快速检测分析的基本需求,为白酒的快速检测、分析、定级等提供了新的发展方向。
Objective To establish a rapid quantitative detection method for ester content in Nongxiangxing crude Baijiu by using mid-infrared spectroscopy.Methods The mid-infrared spectroscopy analysis technology combined with gas chromatography was used to detect Nongxiangxing crude Baijiu.Partial least squares method was employed to establish mid-infrared quantitative detection models for ethyl hexanoate,ethyl acetate,ethyl lactate,and ethyl butyrate in Nongxiangxing crude Baijiu.Results The detection models for ethyl hexanoate,ethyl acetate and ethyl lactate exhibited linear coefficients(r^(2))exceeding 0.99 and root mean square error were below 0.07 g/L,indicating that the models had good goodness of fit and stability.The average relative error of the prediction results after external validation was lower than 3.50%,indicating that the models had good detection performance and the predicted values were close to the true values.Due to its low content and narrow spectral range,the prediction effect of the model for ethyl butyrate was poor.Conclusion This method have a good detection ability for the contents of ethyl hexanoate,ethyl acetate and ethyl lactate in Nongxiangxing crude Baijiu.It can meet the basic needs of enterprises for the rapid detection and analysis of crude Baijiu in daily production,providing a new development direction for the rapid detection analysis,and grading of Baijiu.
作者
丁力杰
侯花宁
李利荣
郇丹
赵亚雄
唐云
DING Li-Jie;HOU Hua-Ning;LI Li-Rong;HUAN Dan;ZHAO Ya-Xiong;TANG Yun(Jinhui Liquor Co.,Ltd.,Longnan 742308,China)
出处
《食品安全质量检测学报》
2025年第14期105-112,共8页
Journal of Food Safety and Quality
关键词
浓香型原酒
中红外光谱法
气相色谱法
定量检测
Nongxiangxing crude Baijiu
mid-infrared spectroscopy
gas chromatography
quantitative detection