张树明,杨阳,梁学军,李景明,倪元颖.葡萄酒发酵过程主要参数近红外光谱分析[J].农业机械学报,2013,44(1):152-156.
Zhang Shuming,Yang Yang,Liang Xuejun,Li Jingming,Ni Yuanying.NIR Spectroscopy Analysis of Main Parameters in Red Wine Fermentation[J].Transactions of the Chinese Society for Agricultural Machinery,2013,44(1):152-156.
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葡萄酒发酵过程主要参数近红外光谱分析   [下载全文]
NIR Spectroscopy Analysis of Main Parameters in Red Wine Fermentation   [Download Pdf][in English]
  
DOI:10.6041/j.issn.1000-1298.2013.01.029
中文关键词:  葡萄酒  发酵参数  无损检测  近红外光谱  偏最小二乘回归
基金项目:国家自然科学基金资助项目(30971979);农业部“948”引进项目(2004—Z33)
作者单位
张树明 中国农业大学 
杨阳 中国农业大学 
梁学军 怀来龙徽庄园葡萄酒有限公司 
李景明 中国农业大学 
倪元颖 中国农业大学 
中文摘要:用近红外光谱结合化学计量学方法对葡萄酒酒精发酵中葡萄糖、果糖、乙醇和甘油4个指标进行了定量分析,化学指标的测定采用高效液相色谱法。通过对近红外数据进行筛选、变量标准化等预处理,比较了主成分回归和偏最小二乘回归定量分析的模型质量,以决定系数、校正均方根误差、预测均方根误差为模型质量的评价指标。通过比较发现,对于葡萄糖和果糖,主成分回归与偏最小二乘回归的预测精度相当;对于乙醇,主成分回归预测结果较优;对于甘油,偏最小二乘回归的预测结果要优于主成分回归。主成分回归所采用的成分数要多于偏最小二乘回归,但二者都可以用于上述4种成分的定量分析,其预测精度也相近。
Zhang Shuming  Yang Yang  Liang Xuejun  Li Jingming  Ni Yuanying
China Agricultural University;China Agricultural University;Huailai Chateau Dragon Seal Wines Co., Ltd.;China Agricultural University;China Agricultural University
Key Words:Red wine  Fermentation parameters  Non-destructive detection  NIR spectroscopy  Partial least squares regression
Abstract:The glucose, fructose, ethanol and glycerol were predicted by using NIR spectroscopy and multivariate calibration methods. And the reference values were analyzed by HPLC to evaluate four components above. The principle component analysis regression (PCR) and partial least squares regression (PLSR) were compared. The correlation coefficient of calibration (R2), the root mean square error of calibration (RMSEC) and the root mean square error of prediction (RMSEP) were used to evaluate the models. Results from the application of PCR and PLSR were presented, showing there were no significant differences between PCR and PLSR to predict glucose, fructose and ethanol. While for the glycerol, it was better to use the PLSR. PLSR almost always required fewer latent variables than PCR, but this did not appear to influence predictive ability.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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