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Postharvest Biology and Technology
Ignat, T., Dept. of Physics-Control, Corvinus University of Budapest, Hungary, Inst. of Agricultural Engineering, ARO, The Volcani Center, Bet-Dagan 50250, Israel
Schmilovitch, Z., Inst. of Agricultural Engineering, ARO, The Volcani Center, Bet-Dagan 50250, Israel
Fefoldi, J., Dept. of Physics-Control, Corvinus University of Budapest, Hungary
Steiner, B., Inst. of Agricultural Engineering, ARO, The Volcani Center, Bet-Dagan 50250, Israel
Alkalai-Tuvia, S., Postharvest and Food Sciences, ARO, The Volcani Center, Bet-Dagan 50250, Israel
The present study created a basis for development of a fast, non-destructive method to measure ascorbic acid content during various growth stages of three bell pepper cultivars: 'Ever Green', 'No. 117' and 'Celica'. Fruit were tagged at the flowering stage and picked weekly during 9 weeks of growth, until fully ripe. Visible and near-infrared (VIS-NIR) spectra in the range 477-950nm were obtained in reflectance mode from intact peppers with a USB2000 mini-spectrometer. Short-wave infrared (SWIR) spectra in the range 850-1888nm were obtained in reflectance mode from the same sampled peppers with a Liga Spectrometer. Fruit flesh samples were cut from the area scanned for spectral measurements, and destructively analyzed for ascorbic acid content. The highest ascorbic acid content was measured in the green variety 'Ever Green' (148.1mg per 100g). Varieties 'Ever Green' and 'No. 117' accumulated significantly higher concentrations of ascorbic acid than 'Celica', and consistent and significant differences were found between the premature, green and mature stages of all three cultivars. Partial Least-Squares (PLS) regression was used in spectral model development. Comparisons were made between the PLS regression analysis of the reflectance spectra (R), its first derivative (D 1R), the log(1/R) and its first (D 1log(1/R)) and second derivative (D 2log(1/R)). VIS-NIR and SWIR spectroscopy measurements showed good correlation (r 2=0.76) with changes in ascorbic acid content. The PLS regression models were able to predict ascorbic acid content for all three cultivars, with 15.1-18.9mg per 100g cross-validation error (RPD=2-2.4). The method offers potential for non-destructive detection of changes in ascorbic acid content during growth and maturation of intact bell peppers. © 2012 Elsevier B.V.
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Non-destructive measurement of ascorbic acid content in bell peppers by VIS-NIR and SWIR spectrometry
74
Ignat, T., Dept. of Physics-Control, Corvinus University of Budapest, Hungary, Inst. of Agricultural Engineering, ARO, The Volcani Center, Bet-Dagan 50250, Israel
Schmilovitch, Z., Inst. of Agricultural Engineering, ARO, The Volcani Center, Bet-Dagan 50250, Israel
Fefoldi, J., Dept. of Physics-Control, Corvinus University of Budapest, Hungary
Steiner, B., Inst. of Agricultural Engineering, ARO, The Volcani Center, Bet-Dagan 50250, Israel
Alkalai-Tuvia, S., Postharvest and Food Sciences, ARO, The Volcani Center, Bet-Dagan 50250, Israel
Non-destructive measurement of ascorbic acid content in bell peppers by VIS-NIR and SWIR spectrometry
The present study created a basis for development of a fast, non-destructive method to measure ascorbic acid content during various growth stages of three bell pepper cultivars: 'Ever Green', 'No. 117' and 'Celica'. Fruit were tagged at the flowering stage and picked weekly during 9 weeks of growth, until fully ripe. Visible and near-infrared (VIS-NIR) spectra in the range 477-950nm were obtained in reflectance mode from intact peppers with a USB2000 mini-spectrometer. Short-wave infrared (SWIR) spectra in the range 850-1888nm were obtained in reflectance mode from the same sampled peppers with a Liga Spectrometer. Fruit flesh samples were cut from the area scanned for spectral measurements, and destructively analyzed for ascorbic acid content. The highest ascorbic acid content was measured in the green variety 'Ever Green' (148.1mg per 100g). Varieties 'Ever Green' and 'No. 117' accumulated significantly higher concentrations of ascorbic acid than 'Celica', and consistent and significant differences were found between the premature, green and mature stages of all three cultivars. Partial Least-Squares (PLS) regression was used in spectral model development. Comparisons were made between the PLS regression analysis of the reflectance spectra (R), its first derivative (D 1R), the log(1/R) and its first (D 1log(1/R)) and second derivative (D 2log(1/R)). VIS-NIR and SWIR spectroscopy measurements showed good correlation (r 2=0.76) with changes in ascorbic acid content. The PLS regression models were able to predict ascorbic acid content for all three cultivars, with 15.1-18.9mg per 100g cross-validation error (RPD=2-2.4). The method offers potential for non-destructive detection of changes in ascorbic acid content during growth and maturation of intact bell peppers. © 2012 Elsevier B.V.
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