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IDENTIFYING OBJECTIVE CHARACTERISTICS THAT PREDICT CLUSTERS PRODUCED BY SENSORY ATTRIBUTES IN COOKED RICE
Author(s) -
ROUSSET SYLVIE,
PONS BRIGITTE,
MARTIN JEANFRANCOIS
Publication year - 1999
Publication title -
journal of texture studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.593
H-Index - 54
eISSN - 1745-4603
pISSN - 0022-4901
DOI - 10.1111/j.1745-4603.1999.tb01405.x
Subject(s) - flavour , food science , amylose , texture (cosmology) , starch , brown rice , materials science , chemistry , mathematics , artificial intelligence , computer science , image (mathematics)
From eight samples of raw‐milled, 10 samples of parboiled and 2 samples of canned rice, appearance, texture and flavour were determined sensorily and related to instrumental parameters and clusters of different types of rice having common sensory perceptions were identified. The physico‐chemical characteristics, enthalpy of amylose‐lipid complex I, protein content, length of raw grain, elastic recovery, water uptake and the viscoelastic index, varied widely between rice samples. The most discriminatory sensory attributes were appearance and texture characteristics such as ‘brown', ‘elastic', ‘long', ‘firm’ and ‘shiny'. The instrumental measurements were highly correlated with sensory parameters. Parboiled rice samples, characterised by a brown colour, an elastic—firm—smooth texture and a broth flavour, were different from the raw‐milled rice samples described as ‘juicy', ‘melting', ‘shiny', ‘aggregated and swollen grains', ‘starch and milk’ flavour. Canned rice samples were distinguished by a ‘jute and earth’ flavour, ‘bitterness’ and the presence of ‘foreign matter'. Five clusters of types of rice could be distinguished which were characterised by a soft texture for the first, by a sticky‐pasty texture for the second, by a brioche flavour and medium intensity characteristics of sticky and melting texture for the third, by the length of grain and a slight crunchy texture for the fourth, and by the firmness and elasticity for the last cluster. Five instrumental determined characteristics, enthalpy of amylose‐lipid complex I, thickness of cooked grain, water uptake, browness index and protein content classed each rice into one of these 5 clusters with an error of 4%.