电子舌对鸡汤和人工勾兑高汤及其混合样品的识别

运用电子舌对鸡汤与人工勾兑高汤及其混合样品进行识别,对所获得的数据进行主成分分析、判别因子分析和偏最小二乘回归分析。结果表明:电子舌能够有效识别鸡汤与各种人工勾兑的汤,以及其混合样品;对不同混合比例的鸡汤建立了偏最小二乘回归分析预测模型,电子舌响应信号和鸡汤混合比例之间有很好的相关性(相关系数为0.958 71),偏最小二乘回归分析模型预测误差在15%以内。证明电子舌可用于鸡汤与人工勾兑汤的识别。

Discrimination of soup-stock by electronic tongue

Chicken soup and mixed samples with artificial blending were tested by electronic tongue and the response signals were analyzed by principal component analysis (PCA), discriminant factor analysis (DFA) and partial least-squares analysis (PLS). Chicken soup and artificial blended soup were successfully identified by electronic tongue. Moreover, a high regression coefficient, R²=0.958 71, between instrumental response signal and mixed ratio of chicken soup and artificial blended soup was found for the established PLS model with a prediction error below 15%.This study demonstrates that electronic tongue is applicable for soup discrimination.