Optimization of sweet basil harvest time and cultivar characterization using near-infrared spectroscopy, liquid and gas chromatography, and chemometric statistical methods.

Autor: Birenboim M; Department of Food Safety, Institute for Postharvest and Food Sciences, Agricultural Research Organization, Volcani Center, Rishon LeZion, Israel.; Department of Plant Science, The Robert H Smith Faculty of Agriculture, Food and Environment, Rehovot, Israel., Chalupowicz D; Department of Food Quality, Institute for Postharvest and Food Sciences, Agricultural Research Organization, Volcani Center, Rishon LeZion, Israel., Maurer D; Department of Food Quality, Institute for Postharvest and Food Sciences, Agricultural Research Organization, Volcani Center, Rishon LeZion, Israel., Barel S; Kimron Veterinary Institute, Department of Toxicology, Bet Dagan, Israel., Chen Y; Department of Food Safety, Institute for Postharvest and Food Sciences, Agricultural Research Organization, Volcani Center, Rishon LeZion, Israel.; Department of Plant Science, The Robert H Smith Faculty of Agriculture, Food and Environment, Rehovot, Israel., Falik E; Department of Food Quality, Institute for Postharvest and Food Sciences, Agricultural Research Organization, Volcani Center, Rishon LeZion, Israel., Kengisbuch D; Department of Food Quality, Institute for Postharvest and Food Sciences, Agricultural Research Organization, Volcani Center, Rishon LeZion, Israel., Shimshoni JA; Department of Food Safety, Institute for Postharvest and Food Sciences, Agricultural Research Organization, Volcani Center, Rishon LeZion, Israel.; Department of Plant Science, The Robert H Smith Faculty of Agriculture, Food and Environment, Rehovot, Israel.
Jazyk: angličtina
Zdroj: Journal of the science of food and agriculture [J Sci Food Agric] 2022 Jun; Vol. 102 (8), pp. 3325-3335. Date of Electronic Publication: 2021 Dec 09.
DOI: 10.1002/jsfa.11679
Abstrakt: Background: Terpene, eugenol and polyphenolic contents of basil are major determinants of quality, which is affected by genetics, weather, growing practices, pests and diseases. Here, we aimed to develop a simple predictive analytical method for determining the polyphenol, eugenol and terpene content of the leaves of major Israeli sweet basil cultivars grown hydroponically, as a function of harvest time, through the use of near-infrared (NIR) spectroscopy, liquid/gas chromatography, and chemometric methods. We also wanted to identify the harvest time associated with the highest terpene, eugenol and polyphenol content.
Results: Six different cultivars and four different harvest times were analyzed. Partial least square regression (PLS-R) analysis yielded an accurate, predictive model that explained more than 93% of the population variance for all of the analyzed compounds. The model yielded good/excellent prediction (R 2  > 0.90, R 2 cv and R 2 pre  > 0.80) and very good residual predictive deviation (RPD > 2) for all of the analyzed compounds. Concentrations of rosmarinic acid, eugenol and terpenes increased steadily over the first 3 weeks, peaking in the fourth week in most of the cultivars. Our PLS-discriminant analysis (PLS-DA) model provided accurate harvest classification and prediction as compared to cultivar classification. The sensitivity, specificity and accuracy of harvest classification were larger than 0.82 for all harvest time points, whereas the cultivar classification, resulted in sensitivity values lower than 0.8 in three cultivars.
Conclusion: The PLS-R model provided good predictions of rosmarinic acid, eugenol and terpene content. Our NIR coupled with a PLS-DA demonstrated reasonable solution for harvest and cultivar classification. © 2021 Society of Chemical Industry.
(© 2021 Society of Chemical Industry.)
Databáze: MEDLINE
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