Non-destructive evaluation of apple maturityusing an electronic nose system
電子鼻用于蘋果成熟度無損傷分析
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，隨機(jī)抽樣和破壞性抽樣技術(shù)被用來評估蘋果的質(zhì)量。因此，有必要開發(fā)一種無損技術(shù)來評估蘋果的質(zhì)量。以淀粉指數(shù)、硬度等成熟度指標(biāo)將加拉蘋果分為未成熟、成熟和過成熟三個(gè)成熟度組。電子鼻(Enose)傳感器數(shù)據(jù)方差(manova)的多變量分析表明，有不同的成熟度組(wilks'lambda f=3.7，p<0.0001)。從判別分析(DA)可以有效地將加拉蘋果分為三個(gè)成熟度組，正確的分類率為83%。
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