基于电子鼻系统的水果腐败过程表征方法

基金项目: 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），浙江工商大学大学生创新项目（11-143, 11-145，11-159）资助

Characterization method of fruit decay procedure using electronic nose system

摘要: 为了研究水果腐败过程的新的表征方法，该文采用便携式电子鼻系统试验研究了苹果、梨、桃子、李子、葡萄5种水果的腐败过程，采用非线性随机共振技术提取水果霉变程度特征信息，苹果腐败过程中产生的挥发特征气体量不断上升，而梨、桃子、李子和葡萄在该过程中挥发气体量先达到最大值后下降，结果表明电子鼻系统可以快速表征水果的腐败过程，这为水果腐败机理研究提供了一种新表征技术手段。
- 水果 /
- 腐烂 /
- 信噪比 /
- 电子鼻 /
- 随机共振
Abstract: In order to investigate a characterization method for fruit decay procedures, experiments of decay procedures on apple, pear, peach, plum, and grape decay procedure using electronic nose system were conducted. The decay degree feature was extracted by non-linear stochastic resonance technique. The feature gas amount during apple decay procedure kept going up，while the feature gas amount of pear, peach, plum, and grape reached their maximums, and then declined. The results showed that the electronic nose system characterized fruit decay procedure successfully, which provided a new way for fruit decay characterization.
- fruits /
- decay /
- signal to noise ratio /
- electronic nose /
- stochastic resonance