Articles
COMPARISON OF INDICES TO PREDICT FRUIT CAROTENOID/CHLOROPHYLL RATIO NON-DESTRUCTIVELY IN ‘ELSTAR’ AND ‘JONAGOLD’ APPLES
Article number
628_11
Pages
103 – 110
Language
English
Abstract
Non-destructive, objective tools are required to obtain information on preharvest fruit maturation and postharvest fruit aging.
Changes in fruit carotenoid/ chlorophyll ratio (car/chl) can serve as an indicator for fruit aging and related consumer acceptance during shelf life.
Fruit chlorophylls have already been successfully determined by non-destructive spectral analyses using indices and multivariate data processing and indices for car/chl prediction have been developed in photosynthesis research and stress physiology.
However, a comparative study to predict fruit car/chl using these indices is not known to exist.
Spectral transmittance recordings in the visible wavelength range were carried out on ‘Elstar’ and ‘Jonagold’ apple (Malus x domestica) fruit.
The fruit chlorophyll content of ‘Jonagold’ apples was chemically measured and predicted by means of the specific indices: Plant senescence reflectance index (PSRI), structure insensitive pigment index (SIPI) and photochemical reflectance index (PRI) with correlation coefficients of determination R²=0.21, R²=0.12, R²=0.42, respectively.
Partial least squares (PLS) calibration models for measured spectral recordings (450 nm – 730 nm), first derivative of the spectra and second derivative of the spectra yielded multivariate correlation coefficients of determination R²= 0.67, R²= 0.78, R²= 0.92, respectively.
Similar results were found for ‘Elstar’ apples.
In summary, the indices (PSRI, SIPI, or PRI) were poor predictors of fruit car/chl in this study.
Multivariate models, especially the second derivative of the PLS-based spectra measurements, had the best ability to predict fruit car/chl in this study.
Changes in fruit carotenoid/ chlorophyll ratio (car/chl) can serve as an indicator for fruit aging and related consumer acceptance during shelf life.
Fruit chlorophylls have already been successfully determined by non-destructive spectral analyses using indices and multivariate data processing and indices for car/chl prediction have been developed in photosynthesis research and stress physiology.
However, a comparative study to predict fruit car/chl using these indices is not known to exist.
Spectral transmittance recordings in the visible wavelength range were carried out on ‘Elstar’ and ‘Jonagold’ apple (Malus x domestica) fruit.
The fruit chlorophyll content of ‘Jonagold’ apples was chemically measured and predicted by means of the specific indices: Plant senescence reflectance index (PSRI), structure insensitive pigment index (SIPI) and photochemical reflectance index (PRI) with correlation coefficients of determination R²=0.21, R²=0.12, R²=0.42, respectively.
Partial least squares (PLS) calibration models for measured spectral recordings (450 nm – 730 nm), first derivative of the spectra and second derivative of the spectra yielded multivariate correlation coefficients of determination R²= 0.67, R²= 0.78, R²= 0.92, respectively.
Similar results were found for ‘Elstar’ apples.
In summary, the indices (PSRI, SIPI, or PRI) were poor predictors of fruit car/chl in this study.
Multivariate models, especially the second derivative of the PLS-based spectra measurements, had the best ability to predict fruit car/chl in this study.
Publication
Authors
M. Zude
Keywords
apple, fruit aging, partial transmittance, senescence, spectral analysis
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