Correlation between electronic nose signals and fruit quality indicators on shelf-life measurements with pinklady apples

被引:117
作者
Brezmes, J [1 ]
Llobet, E [1 ]
Vilanova, X [1 ]
Orts, J [1 ]
Saiz, G [1 ]
Correig, X [1 ]
机构
[1] Univ Rovira & Virgili, DEEEA, ETSE, Tarragona 43007, Spain
来源
SENSORS AND ACTUATORS B-CHEMICAL | 2001年 / 80卷 / 01期
关键词
electronic nose; fruit ripeness; pinklady apples; pattern recognition; metal oxide gas sensors; fuzzy art;
D O I
10.1016/S0925-4005(01)00867-X
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this work, an electronic nose is used to assess the ripeness state of pinklady apples through their shelf-life. In order to evaluate the electronic nose performance, fruit quality indicators are also obtained to compare results from both techniques. Pinklady apples were harvested at their optimal date so that electronic nose measurements and fruit quality measurements could be performed on the fruit samples during their ripening process. A PCA analysis, a well-known linear classification technique, does not show any clustering behaviour that might be attributed to ripening. On the other hand, Fuzzy am an unsupervised neural network classification algorithm, shows a tendency to classify measurements regarding to their shelf-life period. Finally, electronic nose signals are correlated with classical fruit quality parameters such as firmness. starch index and acidity. Good correlation coefficients are obtained, a clear indication that electronic nose signals are related to the ripening process of apples. (C) 2001 Elsevier Science BN. All rights reserved.
引用
收藏
页码:41 / 50
页数:10
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