Cultivar classification of Apulian olive oils: Use of artificial neural networks for comparing NMR, NIR and merceological data
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- 作者：Giulio Binettia ; 1 ; giulio.binetti@poliba.it" class="auth_mail" title="E-mail the corresponding author ; Laura Del Cocob ; 1 ; laura.delcoco@unisalento.it" class="auth_mail" title="E-mail the corresponding author ; Rosa Ragonec ; 1 ; rosaragone@yahoo.it" class="auth_mail" title="E-mail the corresponding author ; Samanta Zelascod ; samanta.zelasco@crea.gov.it" class="auth_mail" title="E-mail the corresponding author ; Enzo Perrid ; enzo.perri@crea.gov.it" class="auth_mail" title="E-mail the corresponding author ; Cinzia Montemurroe ; cinzia.montemurro@uniba.it" class="auth_mail" title="E-mail the corresponding author ; Raffaele Valentinif ; agrivalent@libero.it" class="auth_mail" title="E-mail the corresponding author ; David Nasoa ; david.naso@poliba.it" class="auth_mail" title="E-mail the corresponding author ; Francesco Paolo Fanizzib ; fp.fanizzi@unisalento.it" class="auth_mail" title="E-mail the corresponding author ; Francesco Paolo Schenac ; paolo.schena@uniba.it" class="auth_mail" title="E-mail the corresponding author
- 关键词：Artificial neural networks ; Olive oil ; Cultivar classification ; Merceological analysis ; Near-infra red spectroscopy ; Nuclear magnetic resonance spectroscopy
- 刊名：Food Chemistry
- 出版年：2017
- 出版时间：15 March 2017
- 年：2017
- 卷：219
- 期：Complete
- 页码：131-138
- 全文大小：570 K
文摘
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Cultivar discriminating ability of ANNs on Apulian monocultivar EVOOs was studied.
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Merceological, NIR and 1H NMR data were used as ANNs training sets.
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ANN models based on NMR data showed the highest accuracy in classifying cultivars.
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The most information about cultivars was contained in very few NMR peaks.
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Performance was not influence by the milling method nor the crop year.