于静,孙翔宇,王宏镭,黄卫东.基于HPLC-ECD法与聚类分析的中国白酒品质鉴别[J].农业机械学报,2018,49(1):315-321.
YU Jing,SUN Xiangyu,WANG Honglei,HUANG Weidong.Identification of Chinese Spirits Quality Based on HPLC-ECD and Cluster Analysis[J].Transactions of the Chinese Society for Agricultural Machinery,2018,49(1):315-321.
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基于HPLC-ECD法与聚类分析的中国白酒品质鉴别   [下载全文]
Identification of Chinese Spirits Quality Based on HPLC-ECD and Cluster Analysis   [Download Pdf][in English]
投稿时间:2017-04-26  
DOI:10.6041/j.issn.1000-1298.2018.01.039
中文关键词:  白酒  固态法白酒  固液法白酒  酒精勾兑白酒  库仑阵列高效液相色谱法  聚类分析法
基金项目:国家重点研发计划项目(2016YFD0400501、2016YFD0400504)
作者单位
于静 中国农业大学 
孙翔宇 中国农业大学 
王宏镭 北京市产品质量监督检验院 
黄卫东 中国农业大学 
中文摘要:白酒中的活性物质影响人的味觉,是感官品评的重要指标之一,库仑阵列高效液相色谱法能够检测白酒中电化学活性物质。建立了我国白酒的HPLC-ECD检测方法,在最优色谱条件下,8通道能采集固态法白酒中102个信息峰,各物质得到了很好的分离,精密度、稳定性高;样品无需前处理,检测到的物质无需定性、定量分析,简便快捷、成本低。使用该方法对固态法白酒与酒精勾兑白酒进行分析,发现能够检测到白酒中多种活性物质,指纹图谱信息丰富,两种白酒谱图差异明显。同时,运用聚类分析对检测数据处理,能实现准确区分固态法白酒与酒精勾兑白酒。运用该方法进一步分析不同勾兑比例的固液法白酒,聚类结果与实际相符,白酒样品被准确分为4类:固态法白酒体积分数分别为10%、15%、75%和100%。该方法可以有效应用于白酒分类鉴定。
YU Jing  SUN Xiangyu  WANG Honglei  HUANG Weidong
China Agricultural University,China Agricultural University,Beijing Products Quality Supervision and Inspection Institute and China Agricultural University
Key Words:Chinese spirits  Chinese spirits produced by traditional fermentation  Chinese spirits made from traditional and liquid fermentation  Chinese spirits produced by alcohol blending  HPLC-ECD  cluster analysis
Abstract:High performance liquid chromatography-coulometric electrochemical array detection (HPLC-ECD) could be used to detect with electrochemical active substances. Meanwhile, these substances are the sensory substances of Chinese spirits, particularly in sensory evaluation. A method using HPLC-ECD on Chinese spirits was established for the first time. Under the optimal chromatographic conditions, when using 8 channels, 102 characteristic peaks in Chinese spirits could be identified. All peaks were well separated with high stability and precision. The method was direct injection without pretreatment, and it did not need to qualitatively and quantitatively analyze the detected substances, which meant this method was simple, fast, low cost and high efficiency. Using this method, the Chinese spirits produced by traditional fermentation and the Chinese spirits produced by alcohol blending could be distinguished. A variety of active substances in these two kinds of Chinese spirits could be detected, the fingerprint information was rich, and there were obvious differences between the two kinds of Chinese spirits. Cluster analysis was also used for the detection of data processing, and it could achieve an accurate distinction between these two kinds of Chinese spirits. Furthermore, the method was used to analyze the liquor with different blending ratios, and the results were accurate. The liquor was divided into four groups accurately: the proportion was divided into 10%, 15%, 75% and 100%. All these data showed that this method was suitable for classification and determination of Chinese spirits.

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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