摘要
通过电子鼻技术对市售小麦粉及腐竹样品掺入不同质量浓度“吊白块”进行分析鉴别,经线性判别函数分析(LDA)和主成分分析(PCA)分析可知,PCA及LDA分析法均可以对掺入吊白块的小麦粉及腐竹等样品进行有效检测,检测限达0.001 g/kg;此外,PCA在定量的准确性上要优于LDA分析方法。结果表明,电子鼻由于对样品不需要进行任何预处理,与色谱法相比较,可以作为一种快速简便的检测技术。
In this study,commercial wheat powder and bean curd samples were mixed with Rongalite and identified,through linear discriminant function analysis(LDA)and principal component analysis(PCA)analysis,PCA and LDA analysis could effectively detect wheat flour and bean curd samples mixed with white block,and the detection limit was 0.001 g/kg.In addition,PCA was better than LDA analysis method.The results showed that the electronic nose could be used as a fast and simple detection technique when compared with the chromatography method.
作者
刘兰霞
王慧珺
王新潮
白兴斌
寇宗红
刘阿静
王波
LIU Lanxia;WANG Huijun;WANG Xinchao;BAI Xingbin;KOU Zonghong;LIU Ajing;WANG Bo(Baiyin Food Inspection and Testing Center,Baiyin,Gansu 730900,China;Lanzhou Customs Technology Center,Lanzhou,Gansu 730010,China)
出处
《农产品加工》
2024年第1期76-80,共5页
Farm Products Processing
基金
甘肃省市场监督管理局科技计划项目(SSCJG-SP-201923)。
关键词
电子鼻
快速检测
小麦粉
腐竹
electronic nose
quick detection
wheat flour
bean curd