Cyranose320电子鼻用于苹果成熟度无损伤分析

non-destructive evaluation of apple maturityusing an electronic nose system
电子鼻用于苹果成熟度无损伤分析
lakshmi p. pathange a, parameswarakumar mallikarjunan a,*,
richard p. marini b, sean okeefe c, david vaughan a
a department of biological systems engineering, virginia polytechnic institute and state university, blacksburg, va 24061, usa
b department of horticulture, virginia polytechnic institute and state university, blacksburg, va 24061, usa
c department of food science and technology, virginia polytechnic institute and state university, blacksburg, va 24061, usa
received 9 april 2004; accepted 5 august 2005
available online 28 september 2005
abstract
currently, random and destructive sampling techniques are used to evaluate apple quality. thus there is need to develop a non-destructive technique to assess apple quality. maturity indices such as starch index and puncture strength were used to categorize gala apples into three maturity groups referred to as immature, mature and over mature fruits. m*riate analysis of variance (manova) of the electronic nose (en) sensor data indicated that there were different maturity groups (wilks’ lambda f = 3.7, p < 0.0001). from the discriminant analysis (da), en could effectively categorize gala apples into the three maturity groups with the correct classification percentage of 83%.
目前,随机抽样和破坏性抽样技术被用来评估苹果的质量。因此,有必要开发一种无损技术来评估苹果的质量。以淀粉指数、硬度等成熟度指标将加拉苹果分为未成熟、成熟和过成熟三个成熟度组。电子鼻(enose)传感器数据方差(manova)的多变量分析表明,有不同的成熟度组(wilks'lambda f=3.7,p<0.0001)。从判别分析(da)可以有效地将加拉苹果分为三个成熟度组,正确的分类率为83%。

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