Study of bitterness perception of quinoa (Chenopodium quinoa wild.) saponin extracts

The thresholds and behavior of bitterness perception over time were studied for quinoa saponins. The detection threshold was calculated in two ways using R-index values: linear equation (as previously used) and regression analysis (proposed hereby). Panelists were grouped depending on their bitterne...

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Detalles Bibliográficos
Autores: Bonfiglio, Gisella Vanesa, Wierna Sánchez Iturbe, Rita Victoria, Bonini, Norberto Alejandro, Armada de Romano, Margarita, Goldner, Maria Cristina
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/141118
Acceso en línea:http://hdl.handle.net/11336/141118
Access Level:acceso abierto
Palabra clave:HPLC
QUINOA
R-INDEX
SAPONINS BITTERNESS THRESHOLDS
TIME-INTENSITY
https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
Descripción
Sumario:The thresholds and behavior of bitterness perception over time were studied for quinoa saponins. The detection threshold was calculated in two ways using R-index values: linear equation (as previously used) and regression analysis (proposed hereby). Panelists were grouped depending on their bitterness sensitivity, and differences were found among dynamic panelist perceptions. At the threshold level, the sensation dynamic was lower than the caffeine threshold. By HPLC analysis, we identified three main types of saponins (A, B, and C), which positively correlated with the stimulus concentration. The saponin fractions were more related to the time-intensity parameters than the total saponins. Pearson's correlations showed that maximum intensity, total duration, area under the curve, and rising slope were best correlated with A, B, and C saponins. Interestingly, bitterness was perceived before chemical differentiation. It is important to study the saponin bitterness thresholds and perception, as they directly influence consumer choices and must be addressed before being used in quinoa products in the food industry.