基于电子鼻的猪肉冷冻储藏期的无损检测方法

Frozen pork shelf life monitoring by electronic nose nondestructive testing

建立基于电子鼻的猪肉冷冻储藏期和冻藏前冷藏时间的无损检测方法。5 cm见方冻藏猪肉置于100 m L烧杯中以保鲜膜密封,采用PEN3型电子鼻对烧杯中上层气体进行检测。检测数据分别采用主成分分析和重复测量的方差分析了解多元数据的分布特点。进而利用线性判别和基于多层感知器的神经网络算法建立猪肉冷冻储藏期和冻藏前冷藏时间的预测模型。结果表明,冷冻储藏不同时间及冻藏前冷藏不同时间的猪肉样品的电子鼻检测数据存在显著差异;通过神经网络算法建立的预测模型对猪肉冷冻储藏期和冻藏前不同冷藏时间具有更好预测能力。该检测方法操作简便,快速高效可实现无损现场检测,为加强冷冻肉品监督管理提供了一种简便可行的检测技术。

An electronic nosed based nondestructive method was established for detecting frozen pork quality as well as determining whether the pork had been refrigerated at 4℃for a long time before frozen.5 cm thick square frozen pork was added into a 100 mL beaker and sealed by a membrane;PEN3 electronic nose was used to detect the gas in the upper beaker.The data were analyzed by principal component analysis and variance analysis to understand the distribution of multiple data.Secondly,the prediction model of frozen pork and whether it has been refrigerated at 4℃for a long time before the frozen storage was established.There are significant differences of electronic nose data of frozen pork at different storage as well as whether it had been refrigerated at 4℃for a long time.Both linear discriminant analysis and neural network algorithm based on multi-layer perceptron can establish a successful prediction model.The predictive model based on neural network algorithm has better prediction.The detection method is simple,fast and efficient and nondestructive.It lays a technical foundation in order to enhance the supervision and management for frozen meat.