摘要
文章利用电子舌感应技术测量和预测了猪肉、羊肉中硝酸盐、亚硝酸盐和氯化物的含量。建立了3种化合物、4个浓度水平的系统,采用PLS对数据进行处理,并建立了预测模型。结果表明,电子舌传感器PLS模型具有较好的预测能力和精确度,相关系数均在0.9以上。其中羊肉的PLS预测模型效果优于猪肉;硝酸盐、亚硝酸盐优于氯化物;高浓度优于低浓度。综上,基于电子舌感应技术的肉类硝盐组分检测方法具有可行性。
The content of nitrate,nitrite and chloride in pork and mutton is measured and predicted by electronic tongue sensing technology.The system of three compounds and four concentration levels is established.The data are processed by PLS and the prediction model is established.The results show that the PLS model of electronic tongue sensor has good prediction ability and accuracy,and the correlation coefficients are above 0.9.The PLS prediction model of mutton is better than that of pork,nitrate and nitrite are better than chloride,high concentration is better than low concentration.In conclusion,the detection method of meat nitrate and nitrite components based on electronic tongue sensing technology is feasible.
作者
潘岳
PAN Yue(Changsha Commerce and Tourism College,Changsha 410116,China)
出处
《中国调味品》
CAS
北大核心
2019年第12期155-157,161,共4页
China Condiment
基金
湖南省教育厅科学研究项目（15C0094）
关键词
电子舌
PLS
硝盐
预测
electronic tongue
PLS
nitrate and nitrite
prediction
