金鲳鱼货架期品质快速检测方法研究

Investigation of Golden Pomfret Shelf-life Rapid Determination Method

为研究金鲳鱼货架期间品质的变化,分别测定鱼肉样品的质构、挥发性盐基、p H、可见-近红外光谱、电子鼻等指标。黏度、挥发性盐基氮和p H上升以及硬度下降表明货架期间金鲳鱼的鱼肉成分及肌肉组织发生了变化。对获取的电子鼻检测数据进行主成分分析及随机共振信噪比谱分析。主成分分析表明前3个主成分构成空间可有效区分不同货架期的金鲳鱼。采用信噪比谱特征值构建金鲳鱼货架期预测模型,具有较高的拟合精度,实现了金鲳鱼货架期的定量检测。

Golden pomfret shelf-life determination method was investigated in this paper. Texture properties, total volatile basic nitrogen（TVB-N）, pH, visible/NIR spectrum, and electronic nose（EN） of the samples were measured. The increase of viscosity, TVB-N, pH and the decline of hardness of the samples demonstrated that the quality of golden pomfret samples changed greatly during the shelf-life storage. Visible/NIR spectrum discriminated pofret samples of different storage time successfully. While these indexes could not determine the quality changes of pomfret samples quantitatively. Principal component analysis（PCA） and stochastic resonance （SR） analysis were conducted on electronic nose measurement data. PCA results indicated that the space constructed by the first three principal components discriminated pomfret samples successfully. Golden pomfret shelf-life determination model was built using signal-to-noise ratio （SNR） eigen values. This model presented high fitting accuracy and could determine compret shelf-life quantitatively.