The E-nose Dataset of base liquor and commercial liquor in our article: A Machine Learning Method for the Quality Detection of Base Liquor and Commercial Liquor Using Multidimensional Signals from an Electronic Nose

Nine types of Chinese liquor (six types of base liquors and three types of commercial liquors) are tested in our study. The six types of base liquors with different aging durations were denoted as BL (year), where BL represents the base liquor, and (year) represents the aging duration. Thus, the six types of base liquors were BL (13), BL (11), BL (8), BL (6), BL (5), and BL (3). The three commercial liquors (CL) were blended using different proportions of the six base liquors, including CL1, CL2, and CL3. The data is acquired by a commercial E-nose (PEN3, Airsense Analytics GmbH, Germany), with 10 MOS sensors in our laboratory.

本研究共测试了九种中国白酒，涵盖六种基酒与三种市售白酒。六种具有不同陈化时长的基酒以BL(年)的形式进行标注，其中BL指代基酒（base liquor），括号内的(年)代表陈化时长。据此，六种基酒分别为BL(13)、BL(11)、BL(8)、BL(6)、BL(5)与BL(3)。三种市售白酒（commercial liquors，简称CL）系通过按不同比例混合上述六种基酒调配而成，分别记为CL1、CL2及CL3。本研究采用德国Airsense Analytics GmbH公司生产的PEN3型商用电子鼻（electronic nose, E-nose）采集实验数据，该设备搭载10个金属氧化物半导体（MOS）传感器，所有实验均在实验室环境中完成。