摘要
探讨电子鼻识别判定各种常见碳酸饮料的可行性,研究建立新的鉴伪和品控技术。以碳酸饮料为研究对象,利用电子鼻进行分析检测,结合WinMuster软件对数据进行分析。结果显示:电子鼻传感器有较好响应信号,PCA和LDA分析均能够较好区分10种碳酸饮料。说明电子鼻可作为碳酸饮料识别判定手段用于政府监管和企业内部品控。
Investigate the feasibility of utilizing an electronic nose to distinguish common carbonated beverages, and establish a new technology for discriminating and quality control. Methods： Carbonated beverages were analyzed by an electronic nose. Consequently, the data were subject to analysis by the WinMuster software. Results： The elec- tronic nose sensors gave excellent response signals. The PCA and LDA could distinguish 10 different varieties of the carbonated beverages. Conclusion： The electronic nose had the capability of distinguishing the carbonated beverages. The method could be applied to government supervisory control and manufactories＇ inner quality control.
出处
《食品与发酵工业》
CAS
CSCD
北大核心
2017年第5期214-218,共5页
Food and Fermentation Industries
基金
浙江省科技厅公益性项目(2016C37021
2017C32098
2017C37087)
浙江省教育厅项目(FG2014198)
温州市科技局公益性项目(N20140042
N20140043)
温州科技职业学院项目(kjxykc1405
2016009)
关键词
电子鼻
碳酸饮料
鉴伪
气味指纹图谱
selectronic nose
carbonated beverages
discriminating
flavor fingerprints
作者简介
硕士，助理研究员.
E-mail：461418379@qq．com.
