FTIR chemometrical approach for clonal assessment: Selection of Olea europaea L. optimal phenotypes from cv. Cobrançosa. (7th February 2017)
- Record Type:
- Journal Article
- Title:
- FTIR chemometrical approach for clonal assessment: Selection of Olea europaea L. optimal phenotypes from cv. Cobrançosa. (7th February 2017)
- Main Title:
- FTIR chemometrical approach for clonal assessment: Selection of Olea europaea L. optimal phenotypes from cv. Cobrançosa
- Authors:
- Machado, Manuela
Machado, Nelson
Gouvinhas, Irene
Domínguez‐Perles, Raúl
Barros, Ana I.R.N.A. - Abstract:
- Abstract : Fourier transform infrared spectroscopy has been applied in tandem with multivariate statistical approaches, with the prospect of developing a methodology for the prediction of interesting traits in distinct clones of " Olea europaea L." For this purpose, the infrared spectra of either the drupes or the corresponding olive oils of 6 distinct clones of the Cobrançosa cultivar, in 2 ripening stages (semi‐ripe and ripe), have been registered resorting to an attenuated total reflection accessory. These clones were previously evaluated with respect to antioxidant activity and olive oil yield, while multivariate analyses, namely, partial least squares regression and discriminant analysis have been applied to the spectral data collected to obtain a prediction model for the assessment of these traits in distinct clones through the infrared spectra. This methodology leads to minimal erroneous classification rates in the validation procedure of 3.9% and 6.3% for olives and olive oils, respectively, using the first derivative of the spectra. Thus, the suitability of this methodology for the assessment of different clones has been shown with visible benefits for a time consuming and costly process such as clonal selection. Furthermore, this procedure might be extended for other cultivars or different species once proper calibration models are attained for each matrix. Abstract : FTIR‐ATR spectroscopy has been applied in tandem with multivariate analyses, namely PLS‐R andAbstract : Fourier transform infrared spectroscopy has been applied in tandem with multivariate statistical approaches, with the prospect of developing a methodology for the prediction of interesting traits in distinct clones of " Olea europaea L." For this purpose, the infrared spectra of either the drupes or the corresponding olive oils of 6 distinct clones of the Cobrançosa cultivar, in 2 ripening stages (semi‐ripe and ripe), have been registered resorting to an attenuated total reflection accessory. These clones were previously evaluated with respect to antioxidant activity and olive oil yield, while multivariate analyses, namely, partial least squares regression and discriminant analysis have been applied to the spectral data collected to obtain a prediction model for the assessment of these traits in distinct clones through the infrared spectra. This methodology leads to minimal erroneous classification rates in the validation procedure of 3.9% and 6.3% for olives and olive oils, respectively, using the first derivative of the spectra. Thus, the suitability of this methodology for the assessment of different clones has been shown with visible benefits for a time consuming and costly process such as clonal selection. Furthermore, this procedure might be extended for other cultivars or different species once proper calibration models are attained for each matrix. Abstract : FTIR‐ATR spectroscopy has been applied in tandem with multivariate analyses, namely PLS‐R and PLS‐DA, in order to developed a model for the classification of 'Olea europaea L.' clones from the same cultivar, which were previously evaluated concerning antioxidant activity and olive oil production yield, with the view of developing a model to assist clonal selection. Minimal erroneous classification rates of 3.9 and 6.3%, resorting to the spectra, have been observed for olives and olive oils, respectively, concerning these traits. … (more)
- Is Part Of:
- Journal of chemometrics. Volume 31:Number 5(2017)
- Journal:
- Journal of chemometrics
- Issue:
- Volume 31:Number 5(2017)
- Issue Display:
- Volume 31, Issue 5 (2017)
- Year:
- 2017
- Volume:
- 31
- Issue:
- 5
- Issue Sort Value:
- 2017-0031-0005-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2017-02-07
- Subjects:
- clonal selection -- FTIR -- multivariate analysis -- Olea europaea L
Chemistry -- Mathematics -- Periodicals
Chemistry -- Statistical methods -- Periodicals
542.85 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/cem.2860 ↗
- Languages:
- English
- ISSNs:
- 0886-9383
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4957.380000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2576.xml