On-field monitoring of fruit ripening evolution and quality parameters in olive mutants using a portable NIR-AOTF device
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- 作者：Marco Cirillia ; 1 ; Andrea Bellincontrob ; bellin@unitus.it" class="auth_mail" title="E-mail the corresponding author ; Stefania Urbanic ; Maurizio Servilic ; Sonia Espostoc ; Fabio Mencarellib ; Rosario Muleoa ; muleo@unitus.it" class="auth_mail" title="E-mail the corresponding author
- 关键词：AOTF ; Acousto Optically Tunable Filter ; cv. ; cultivar ; DAD ; diode-array detector ; FLD ; fluorescence detector ; NIR ; near infrared ; PCA ; Principal Component Analysis ; PLS ; Partial Least Square ; RMSEC ; Root Mean Standard error in Calibration ; RMSECV ; Root Mean Standard error in Cross-Validation ; RMSEP ; Root Mean Standard error in Prediction ; RPD ; residual predictive deviation ; 3 ; 4-DHPEA-EDA ; 3 ; 4-DHPEA-Elenolic acid Di-Aldehyde (Oleuropein-aglycone di-aldehyde)
- 刊名：Food Chemistry
- 出版年：2016
- 出版时间：15 May 2016
- 年：2016
- 卷：199
- 期：Complete
- 页码：96-104
- 全文大小：843 K
文摘
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Feasibility of NIR-AOTF as a spectral tool to predict olive firmness has been established.
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NIR-AOTF portable device can be used on-field non-destructive prediction of olive attributes.
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The knowledge of optimal harvesting time improves high quality extra virgin olive oil production.