食品科学 ›› 2011, Vol. 32 ›› Issue (22): 184-187.doi: 10.7506/spkx1002-6630-201122037

• 分析检测 • 上一篇    下一篇

基于智能电子鼻系统对不同品牌啤酒区分

杨利军1,汤旭祥2,张千金1,陈丹妮1,惠国华1,*   

  1. 1.浙江工商大学食品与生物工程学院 2.浙江工商大学科研处
  • 出版日期:2011-11-25 发布日期:2011-11-11
  • 基金资助:
    浙江省公益技术应用研究项目(2011C21051);国家自然科学基金项目(81000645);浙江省自然科学基金项目 (Y1100150);浙江省大学生科技创新活动计划项目(2010R408015);浙江工商大学校级大学生创新项目(2010-146)

An Intellectual Electronic Nose System for Distinguishing Beer Brands

YANG Li-jun1,TANG Xu-xiang2,ZHANG Qian-jin1,CHEN Dan-ni1,HUI Guo-hua1,*   

  1. (1. College of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310035, China; 2. Office of Scientific Research, Zhejiang Gongshang University, Hangzhou 310018, China)
  • Online:2011-11-25 Published:2011-11-11

摘要: 研制一套能快速区分啤酒风味的电子鼻系统,该系统主要包括数据采集、调理与传输单元,传感器阵列和气室,以及供气动力装置3大部分。采用该系统对5种不同品牌啤酒进行检测,以随机共振方法处理实验数据,有效地克服了传感器基线漂移的不利影响。结果表明该系统可以快速和有效地对不同品牌的啤酒进行区分,且其重现性好,具有较好的实际应用前景。

关键词: 电子鼻, 啤酒, 随机共振, 相关系数

Abstract: In this paper, an intellectual electronic nose system that can rapidly distinguish beer brands is described. The system mainly consisted of data acquisition, modification and transmission unit, sensor array and gas chamber, and power and gas supply unit. Five different brands of beer were distinguished by the system in combination with the stochastic resonance data processing method with considerable avoidance of the negative effect of sensor baseline drift. Our results demonstrate that the system allows rapid and effective distinguishing of beer brands with good reproducibility and will therefore have a promising prospect for practical applications.

Key words: beer, electronic nose, stochastic resonance, correlation coefficient

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