倪鸿飞,张建平,黄家鹏,金建江,车彦军,樊剑锋,江 云,陈 勇.近红外光谱技术快速检测黄酒的前发酵过程中总酸含量[J].食品安全质量检测学报,2020,11(20):7298-7303 |
近红外光谱技术快速检测黄酒的前发酵过程中总酸含量 |
Rapid determination of total acid content in pre-fermentation process of rice wine by near infrared spectroscopy |
投稿时间:2020-06-18 修订日期:2020-07-30 |
DOI: |
中文关键词: 黄酒 近红外光谱技术 偏最小二乘法 过程质量控制 前发酵 总酸 |
英文关键词:yellow rice wine near infrared spectroscopy partial least square method process quality control prior to fermentation total acid |
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中文摘要: |
目的 建立近红外光谱法快速检测黄酒的前发酵过程中总酸含量的方法。方法 利用近红外光谱仪对黄酒生产过程中前发酵工段所得样品进行扫描, 对其光谱进行预处理和波段选择, 并结合偏最小二乘法(partial least squares, PLS)建立各工段快速无损检测方法。结果 所建立的模型的决定系数R为0.9348, 交叉验证均方根差值为0.118, 对验证集样品进行预测并统计分析, 预测值与真实值之间无显著差异(P>0.05)。结论 所建立的模型准确度高, 适用于黄酒前发酵过程总酸含量的快速检测。 |
英文摘要: |
Objective To establish a method for the rapid determination of total acid content in pre-fermentation process of rice wine by near infrared spectroscopy (NIR). Methods The samples obtained from the pre-fermentation section of yellow rice wine production were scanned by near infrared spectrometry, the spectrum was preprocessed and the wave bands were selected. A rapid nondestructive detection method for each section was established based on partial least squares (PLS). Results The coefficient of determination R of the established model was 0.9348, and the root mean square difference of cross-validation was 0.118. The validation set samples were predicted and analyzed statistically, there was no significant difference between the predicted value and the true value(P>0.05). Conclusion The established model has high accuracy and is suitable for the rapid determination of total acid content in the pre-fermentation process of yellow rice wine. |
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