Chemical predictors of sweetness and sourness in banana
Assessing sensory properties is time consuming because it is labor intensive and requires a lot of logistics. To be able to take sweetness and sourness into account earlier in the assessment of a new banana hybrid in a selection scheme, we looked for chemical indicators. Ten trained panellists evaluated the two taste attributes on a 0-9 scale in 17 dessert banana cultivars. Dry matter (DM), total soluble solids (TSS), pH, and titratable acidity (TA) were concomitantly measured in the fruits. Linear regressions were established between sensory properties and chemical parameters with a set of 46 data. Sweetness was best predicted as a function of pH and TSS (Y = 2.S5xpH + 0.25xTSS - 13.6; R²= 0.79). Sourness was best predicted as a function of TA (Y= 0.56xTA - 0.46; R²= 0.75). Our data suggest that these chemical parameters, which are easy to measure, can thus be used to predict taste in new hybrid bananas without undertaking sensory analysis.
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dig-cirad-fr-5659522022-03-30T14:45:09Z http://agritrop.cirad.fr/565952/ http://agritrop.cirad.fr/565952/ Chemical predictors of sweetness and sourness in banana. Bugaud Christophe, Daribo Marie Odette, Deverge Emeline, Fils-Lycaon Bernard, Mbéguié-A-Mbéguié Didier. 2012. In : Proceedings of the International Symposium on citrus, bananas and other tropical fruits under subtropical conditions : Proceedings of the XXVIII International Horticultural Congress on Science and Horticulture for People (IHC 2010), Lisbon, Portugal, Augu. Albrigo L.G. (ed.), Wünsche J.N. (ed.). ISHS. Louvain : ISHS [Belgique], 211-215. (Acta Horticulturae, 928) ISBN 978-90-6605-744-9 International Horticultural Congress on Science and Horticulture for People. 28, Lisbonne, Portugal, 22 Août 2010/27 Août 2010. Researchers Chemical predictors of sweetness and sourness in banana Bugaud, Christophe Daribo, Marie Odette Deverge, Emeline Fils-Lycaon, Bernard Mbéguié-A-Mbéguié, Didier eng 2012 ISHS [Belgique] Proceedings of the International Symposium on citrus, bananas and other tropical fruits under subtropical conditions : Proceedings of the XXVIII International Horticultural Congress on Science and Horticulture for People (IHC 2010), Lisbon, Portugal, Augu Q04 - Composition des produits alimentaires Assessing sensory properties is time consuming because it is labor intensive and requires a lot of logistics. To be able to take sweetness and sourness into account earlier in the assessment of a new banana hybrid in a selection scheme, we looked for chemical indicators. Ten trained panellists evaluated the two taste attributes on a 0-9 scale in 17 dessert banana cultivars. Dry matter (DM), total soluble solids (TSS), pH, and titratable acidity (TA) were concomitantly measured in the fruits. Linear regressions were established between sensory properties and chemical parameters with a set of 46 data. Sweetness was best predicted as a function of pH and TSS (Y = 2.S5xpH + 0.25xTSS - 13.6; R²= 0.79). Sourness was best predicted as a function of TA (Y= 0.56xTA - 0.46; R²= 0.75). Our data suggest that these chemical parameters, which are easy to measure, can thus be used to predict taste in new hybrid bananas without undertaking sensory analysis. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/closedAccess http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=215160 |
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Q04 - Composition des produits alimentaires Q04 - Composition des produits alimentaires Bugaud, Christophe Daribo, Marie Odette Deverge, Emeline Fils-Lycaon, Bernard Mbéguié-A-Mbéguié, Didier Chemical predictors of sweetness and sourness in banana |
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Assessing sensory properties is time consuming because it is labor intensive and requires a lot of logistics. To be able to take sweetness and sourness into account earlier in the assessment of a new banana hybrid in a selection scheme, we looked for chemical indicators. Ten trained panellists evaluated the two taste attributes on a 0-9 scale in 17 dessert banana cultivars. Dry matter (DM), total soluble solids (TSS), pH, and titratable acidity (TA) were concomitantly measured in the fruits. Linear regressions were established between sensory properties and chemical parameters with a set of 46 data. Sweetness was best predicted as a function of pH and TSS (Y = 2.S5xpH + 0.25xTSS - 13.6; R²= 0.79). Sourness was best predicted as a function of TA (Y= 0.56xTA - 0.46; R²= 0.75). Our data suggest that these chemical parameters, which are easy to measure, can thus be used to predict taste in new hybrid bananas without undertaking sensory analysis. |
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Q04 - Composition des produits alimentaires |
author |
Bugaud, Christophe Daribo, Marie Odette Deverge, Emeline Fils-Lycaon, Bernard Mbéguié-A-Mbéguié, Didier |
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Bugaud, Christophe Daribo, Marie Odette Deverge, Emeline Fils-Lycaon, Bernard Mbéguié-A-Mbéguié, Didier |
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Bugaud, Christophe |
title |
Chemical predictors of sweetness and sourness in banana |
title_short |
Chemical predictors of sweetness and sourness in banana |
title_full |
Chemical predictors of sweetness and sourness in banana |
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Chemical predictors of sweetness and sourness in banana |
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Chemical predictors of sweetness and sourness in banana |
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chemical predictors of sweetness and sourness in banana |
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ISHS [Belgique] |
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http://agritrop.cirad.fr/565952/ |
work_keys_str_mv |
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