Agritrop
Home

Rheological and chemical predictors of texture and taste in dessert banana (Musa spp.)

Bugaud Christophe, Cazevieille Patrick, Daribo Marie Odette, Telle Nelly, Julianus Philippe, Fils-Lycaon Bernard, Mbéguié-A-Mbéguié Didier. 2013. Rheological and chemical predictors of texture and taste in dessert banana (Musa spp.). Postharvest Biology and Technology, 84 : pp. 1-8.

Journal article ; Article de revue à facteur d'impact
[img] Published version - Anglais
Access restricted to CIRAD agents
Use under authorization by the author or CIRAD.
document_568977.pdf

Télécharger (641kB)

Quartile : Q1, Sujet : HORTICULTURE / Quartile : Q1, Sujet : AGRONOMY / Quartile : Q1, Sujet : FOOD SCIENCE & TECHNOLOGY

Abstract : To be able to account for sensory qualities earlier in the assessment of a new banana hybrid in a selectionscheme, predicting the sensory perception of banana texture and taste by instrumental parameters wasinvestigated. Thirteen cultivated banana and four new triploid hybrids were characterized by sensoryprofiling, and rheological and chemical analyses. Multilinear regressions were used to calibrate predic-tions using 13 cultivated bananas, and the quality of predictions was validated using four hybrids. Thesensory characteristics sourness and sweetness were predicted by titratable acidity (R2= 0.68) and pH(R2= 0.66). Malate and citrate were the main contributors to sweetness and sourness. Astringency waspredicted by total tannins (R2= 0.55). Rheological parameters from texture profile analyses (stress at frac-ture, fracturability) were more suitable than pulp puncture force to predict the sensory texture propertiesfirmness (R2= 0.47) and melting (R2= 0.60). These textural properties were predicted by titratable acidityand dry matter content (R2= 0.62). Predictions of mealiness, adhesiveness, and heterogeneity were notefficient. Differences of 3.6-3.7 meq 100 g?1FW in titratable acidity or of 0.30 g 100 g?1FW in malate orcitrate were required to ensure a detectable difference in sourness or sweetness (p = 0.9). Pulp punc-ture force needed to differ by a minimum of 0.9 N before a difference in firmness could be perceived bythe panelists. In conclusion, while models to predict sourness and sweetness can now be used for highthroughput phenotyping, we recommend additional tests for other sensory attributes. (Résumé d'auteur)

Mots-clés Agrovoc : Banane, Analyse organoleptique, Propriété rhéologique, Propriété physicochimique, Propriété organoleptique, Texture, Citrate, Malate, Technique analytique

Mots-clés géographiques Agrovoc : Martinique

Classification Agris : Q04 - Food composition
U30 - Research methods

Champ stratégique Cirad : Axe 3 (2005-2013) - Alimentation accessible et de qualité

Auteurs et affiliations

  • Bugaud Christophe, CIRAD-PERSYST-UMR Qualisud (MTQ)
  • Cazevieille Patrick, CIRAD-PERSYST-UPR Recyclage et risque (FRA)
  • Daribo Marie Odette, CIRAD-PERSYST-UMR Qualisud (MTQ)
  • Telle Nelly, CIRAD-PERSYST-UPR Systèmes de culture bananes et ananas (MTQ)
  • Julianus Philippe, INRA (GLP)
  • Fils-Lycaon Bernard, INRA (GLP)
  • Mbéguié-A-Mbéguié Didier, CIRAD-PERSYST-UMR Qualisud (GLP) ORCID: 0000-0002-9256-3999

Source : Cirad - Agritrop (https://agritrop.cirad.fr/568977/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-02-25 ]