Identifying objective characteristics that predict clusters produced by sensory attributes in cooked rice

Citation
S. Rousset et al., Identifying objective characteristics that predict clusters produced by sensory attributes in cooked rice, J TEXT STUD, 30(5), 1999, pp. 509-532
Citations number
13
Categorie Soggetti
Food Science/Nutrition
Journal title
JOURNAL OF TEXTURE STUDIES
ISSN journal
00224901 → ACNP
Volume
30
Issue
5
Year of publication
1999
Pages
509 - 532
Database
ISI
SICI code
0022-4901(199911)30:5<509:IOCTPC>2.0.ZU;2-M
Abstract
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 cha racteristics, enthalpy of amylose-lipid complex I, protein content, length of raw grain, elastic recovery, water uptake and the viscoelastic index, va ried widely between rice samples. The most discriminatory sensory attribute s were appearance and texture characteristics such as 'brown', 'elastic', ' long', 'firm' and 'shiny'. The instrumental measurements were highly correl ated with sensory parameters. Parboiled rice samples, characterised by a br own colour, an elastic-firm smooth texture and a broth flavour, were differ ent from the raw-milled rice samples described as 'juicy', 'melting', 'shin y', '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 inte nsity characteristics of sticky and melting texture for the third, by the l ength of grain and a slight crunchy texture for the fourth, and by the firm ness and elasticity for the last cluster. Five instrumental determined char acteristics, enthalpy of amylose-lipid complex I, thickness of cooked grain , water uptake, browness index and protein content classed each rice into o ne of these 5 clusters with an error of 4%.