Home About us Contact
|
Home About us Contact | ||
|
|
||
Internal Preference Mapping (internal + preference_mapping)
Selected AbstractsFORMULATION OF A SOY,COFFEE BEVERAGE BY RESPONSE SURFACE METHODOLOGY AND INTERNAL PREFERENCE MAPPINGJOURNAL OF SENSORY STUDIES, Issue 2010ILANA FELBERG ABSTRACT Coffee consumers (n = 60) tasted and rated samples of a new soy,coffee beverage made from instant coffee, soymilk powder and sugar. Ingredient concentrations (independent variables) varied according to a 23central composite design for overall degree of acceptance. Data were analyzed by analysis of variance (ANOVA), least square difference and response surface methodology, followed by internal preference mapping (IPM) with cluster analysis. ANOVA from the consumers' acceptance data revealed that samples differed significantly (P , 0.05). Although soymilk content did not influence significantly the consumers' acceptance in the tested range, IPM with cluster analysis indicated that at least part of the acceptance differences was based on the soy beverage consumption habit. The final beverage formulation was evaluated cold and hot for overall acceptability (9-point structured hedonic scale) by 112 coffee consumers and the cold beverage reached a good acceptability mean score (6.2) among the participants. PRACTICAL APPLICATIONS The consumption of soy products has been reported to reduce the risk of several diseases and a number of recent studies have found beneficial health properties attributed to coffee. Considering the current consumer trend for healthier alternatives in food products, we decided to combine the health benefits of these two important Brazilian commodities in a functional beverage. In order to optimize the formulation and maximize sensory acceptance, we performed consumers' tests using response surface methodology. Internal preference mapping and cluster analyses were also applied to provide information on the variability of the consumer individual opinions and segment them in groups of similar preference criteria. [source] Preference Mapping of Commercial Toasted White Corn Tortilla ChipsJOURNAL OF FOOD SCIENCE, Issue 5 2002J.-F. Meullenet ABSTRACT: This study was conducted to identify what constitutes consumer preference for and acceptance of white corn tortilla chips. Consumer overall acceptance of tortill chips was modeled by consumer data for acceptance of appearance, flavor, and texture and by descriptive sensory and/or instrumental data. Internal preference mapping (R2= 0.99) showed that flavor was the most important attribute to consumer overall acceptance followed by texture and appearance. The basic salt attribute and aftertaste attributes of salt, raw masa, and toasted grain aftertastes were important to consumer flavor acceptance, and the attributes of crispness, loose particles, hardness and oily/greasy film were responsible for consumer acceptance of texture. One appearance descriptive attribute (char marks) and 1 instrumental color measurement (a) were significantly related to consumer acceptance of appearance. [source] FORMULATION OF A SOY,COFFEE BEVERAGE BY RESPONSE SURFACE METHODOLOGY AND INTERNAL PREFERENCE MAPPINGJOURNAL OF SENSORY STUDIES, Issue 2010ILANA FELBERG ABSTRACT Coffee consumers (n = 60) tasted and rated samples of a new soy,coffee beverage made from instant coffee, soymilk powder and sugar. Ingredient concentrations (independent variables) varied according to a 23central composite design for overall degree of acceptance. Data were analyzed by analysis of variance (ANOVA), least square difference and response surface methodology, followed by internal preference mapping (IPM) with cluster analysis. ANOVA from the consumers' acceptance data revealed that samples differed significantly (P , 0.05). Although soymilk content did not influence significantly the consumers' acceptance in the tested range, IPM with cluster analysis indicated that at least part of the acceptance differences was based on the soy beverage consumption habit. The final beverage formulation was evaluated cold and hot for overall acceptability (9-point structured hedonic scale) by 112 coffee consumers and the cold beverage reached a good acceptability mean score (6.2) among the participants. PRACTICAL APPLICATIONS The consumption of soy products has been reported to reduce the risk of several diseases and a number of recent studies have found beneficial health properties attributed to coffee. Considering the current consumer trend for healthier alternatives in food products, we decided to combine the health benefits of these two important Brazilian commodities in a functional beverage. In order to optimize the formulation and maximize sensory acceptance, we performed consumers' tests using response surface methodology. Internal preference mapping and cluster analyses were also applied to provide information on the variability of the consumer individual opinions and segment them in groups of similar preference criteria. [source] | ||||||||||