Food suppliers currently measure apple quality considering basic pomological descriptors. Sensory analysis is expensive, does not permit to analyse many samples, and cannot be implemented for measuring quality properties in real time. However, sensory analysis is the best way to precisely describe food eating quality, since it is able to define, measure, and explain what is really perceivable by human senses and using a language that closely reflects the consumers’ perception. On the basis of such observations, we developed a detailed protocol for apple sensory profiling by descriptive sensory analysis and instrumental measurements. The collected sensory data were validated by applying rigorous scientific criteria for sensory analysis. The method was then applied for studying sensory properties of apples and their changes in relation to different pre- and post-harvest factors affecting fruit quality, and demonstrated to be able to discriminate fruit varieties and to highlight differences in terms of sensory properties. The instrumental measurements confirmed such results. Moreover, the correlation between sensory and instrumental data was studied, and a new effective approach was defined for the reliable prediction of sensory properties by instrumental characterisation. It is therefore possible to propose the application of this sensory-instrumental tool to all the stakeholders involved in apple production and marketing, to have a reliable description of apple fruit quality.

Corollaro, Maria Laura (2014-05-08). Sensory and instrumental profiling of apples: a new tool for quality assessment. (Doctoral Thesis). Alma Mater Studiorum Università di Bologna, a.y. 2013/2014, Dottorato di ricerca in Scienze e tecnologie agrarie, ambientali e alimentari, Ciclo 26, FIRST. handle: http://hdl.handle.net/10449/23791

Sensory and instrumental profiling of apples: a new tool for quality assessment

Corollaro, Maria Laura
2014-05-08

Abstract

Food suppliers currently measure apple quality considering basic pomological descriptors. Sensory analysis is expensive, does not permit to analyse many samples, and cannot be implemented for measuring quality properties in real time. However, sensory analysis is the best way to precisely describe food eating quality, since it is able to define, measure, and explain what is really perceivable by human senses and using a language that closely reflects the consumers’ perception. On the basis of such observations, we developed a detailed protocol for apple sensory profiling by descriptive sensory analysis and instrumental measurements. The collected sensory data were validated by applying rigorous scientific criteria for sensory analysis. The method was then applied for studying sensory properties of apples and their changes in relation to different pre- and post-harvest factors affecting fruit quality, and demonstrated to be able to discriminate fruit varieties and to highlight differences in terms of sensory properties. The instrumental measurements confirmed such results. Moreover, the correlation between sensory and instrumental data was studied, and a new effective approach was defined for the reliable prediction of sensory properties by instrumental characterisation. It is therefore possible to propose the application of this sensory-instrumental tool to all the stakeholders involved in apple production and marketing, to have a reliable description of apple fruit quality.
GASPERI, FLAVIA
Sensory profile
Apple fruit texture
Flavour
Correlation
Instrumental profile
Profilo sensoriale
Texture della mela
Aroma
Correlazione
Profilo strumentale
Settore AGR/15 - SCIENZE E TECNOLOGIE ALIMENTARI
8-mag-2014
2013/2014
Dottorato di ricerca in Scienze e tecnologie agrarie, ambientali e alimentari
Ciclo 26
FIRST
Corollaro, Maria Laura (2014-05-08). Sensory and instrumental profiling of apples: a new tool for quality assessment. (Doctoral Thesis). Alma Mater Studiorum Università di Bologna, a.y. 2013/2014, Dottorato di ricerca in Scienze e tecnologie agrarie, ambientali e alimentari, Ciclo 26, FIRST. handle: http://hdl.handle.net/10449/23791
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