Relationship between Physicochemical and Cooking Quality Parameters with Estimated Glycaemic Index of Rice Varieties

Cristiana L. Pereira, Inês Sousa, Vanda M. Lourenço, Pedro Sampaio, Raquel Gárzon, Cristina M. Rosell, Carla Brites

Resultado de pesquisarevisão de pares

9 Citações (Scopus)

Resumo

Rice is a significant staple food in the basic diet of the global population that is considered to have a high glycaemic index. The study of the physical and chemical parameters in rice that are related to the starch digestion process, which allows us to quickly predict the glycaemic index of varieties, is a major challenge, particularly in the classification and selection process. In this context, and with the goal of establishing a relationship between physicochemical properties and starch digestibility rates, thus shedding light on the connections between quality indicators and their glycaemic impact, we evaluated various commercial rice types based on their basic chemical composition, physicochemical properties, cooking parameters, and the correlations with digestibility rates. The resistant starch, the gelatinization temperature and the retrogradation (setback) emerge as potent predictors of rice starch digestibility and estimated glycaemic index, exhibiting robust correlations of r = −0.90, r = −0.90, and r = −0.70 (p ≤ 0.05), respectively. Among the rice types, Long B and Basmati stand out with the lowest estimated glycaemic index values (68.44 and 68.10), elevated levels of resistant starch, gelatinization temperature, and setback values. Furthermore, the Long B showcases the highest amylose, while the Basmati with intermediate, revealing intriguingly strong grain integrity during cooking, setting it apart from other rice varieties.

Idioma originalInglês
Número do artigo135
RevistaFoods
Volume13
Número de emissão1
DOIs
Estado da publicaçãoPublicadas - 30 dez. 2023

Nota bibliográfica

Publisher Copyright:
© 2023 by the authors.

Financiamento

Financiadoras/-esNúmero do financiador
European Union’s Framework Programme for Research and Innovation
Horizon 2020

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