Discrimination of Fuji apples shelf life by electronic nose
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摘要: 利用电子鼻对不同货架期内的富士苹果挥发性成分进行检测。通过雷达图和负荷加载(Loadings)分析研究主要传感器响应值的变化,利用主成分分析(PCA)、线性判别分析(LDA)模式判别方法进行数据分析。结果表明,第7、8号传感器在苹果常温货架期判别中起主要作用,而第2、7号传感器在苹果贮后货架期的判别中起主要作用。PCA、LDA方法均可准确判别常温不同货架期的苹果;与PCA相比,LDA方法可以更准确对不同贮后货架寿命苹果进行判别,并呈现出良好的集中性和单向趋势。因此,电子鼻快速判别不同货架期的苹果具有可行性。Abstract: The aroma composition in Fuji apples were detected by an electronic nose during different shelf life.Change of main sensor response value was analyzed by radars charts and loadings analysis,and the data was analyzed using principal component analysis( PCA) and linear discrimination analysis( LDA),respectively. The results showed that sensors of 7 and 8 played important roles in the ambient shelf life discrimination of apples by using loadings analysis,sensors of 2 and 7 played important roles in the ambient shelf life after cold storage discrimination of Fuji apples by using loadings analysis. Electronic nose could identify apples stored at different ambient shelf life by PCA and LDA methods. Compared with PCA method,electronic nose could even more distinguish apples stored at different shelf life after cold storage by LDA,which was taken on well centrality and one- way tendency.Therefore,stupid discrimination of apple by electronic nose was feasible.
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Keywords:
- electronic nose /
- apple /
- shelf life /
- discrimination
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