基于电子鼻技术对不同类型洋葱提取液的识别

洋葱提取液作为新型的生物果蔬保鲜剂,因天然、安全等特点受到消费者信赖。然而不同类型洋葱提取液对果蔬的保鲜效果并不相同,因此对不同类型洋葱提取液的快速识别是有实践意义的。本试验以云南、甘肃、安徽、四川、山东、江苏的紫皮洋葱,甘肃、吉林、云南的黄皮洋葱和新疆的白皮洋葱为试验对象,测定植物学性状后提取洋葱的提取液,运用电子鼻检测分析提取液的挥发性物质,采用费舍尔判别(Fisher判别)和反向传播神经网络(back propagation neural network, BPNN)建立预测模型。结果表明：电子鼻的10个传感器对不同类型的洋葱提取液的响应值有显著性差异(P < 0.05),Fisher判别模型和BPNN模型均可有效的识别不同类型的洋葱提取液,其中BPNN识别的正确率比Fisher判别高。因此,电子鼻技术结合BPNN更适合不同类型洋葱提取液的识别。

Identification of different types of onion extracts by electronic nose technology

Objective To study the rapid identification of different types of onion extracts by electronic nose technology. Methods Purple onions grown in Yunnan, Gansu, Anhui, Sichuan, Shandong and Jiangsu regions plus yellow onions grown in Gansu, Jilin and Yunnan regions plus white onion from Xinjiang region, were used for materials, after the botany traits were investigated, onions were extracted and tested by electronic nose, identification models were established by using Fisher discrimination and back propagation neural network (BPNN). Results The responses of 10 sensors to different types of onion extracts were significantly different (P<0.05). Fisher discriminant model and BPNN model could effectively identify different types of onion extracts, the recognition accuracies of BPNN for training set and test set were 100% and 98.3% respectively, and the recognition accuracies of Fisher discriminant for training set and test set were 96.1% and 92.8% respectively. Electronic nose technology combined with BPNN was more suitable for the identification of different types of onion extracts. Conclusion Electronic nose technology combined with BPNN can identify different types of onion extracts, which can provide theoretical basis and technical support for application development of fruit and vegetable preservation.