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

Author:

Pereira Cristiana L.12ORCID,Sousa Inês13ORCID,Lourenço Vanda M.4ORCID,Sampaio Pedro15ORCID,Gárzon Raquel6ORCID,Rosell Cristina M.67,Brites Carla18ORCID

Affiliation:

1. National Institute for Agricultural and Veterinary Research (INIAV), I.P., Av. da República, 2780-157 Oeiras, Portugal

2. Department of Earth Sciences, NOVA University of Lisbon, 2829-516 Caparica, Portugal

3. Linking Landscape, Environment, Agriculture and Food (LEAF) Research Center, Tapada da Ajuda, 1349-017 Lisboa, Portugal

4. Center for Mathematics and Applications (NOVA Math) and Department of Mathematics, NOVA SST, 2829-516 Caparica, Portugal

5. Computação e Cognição Centrada nas Pessoas, BioRG—Biomedical Research Group, Lusófona University, Campo Grande, 376, 1749-019 Lisboa, Portugal

6. Institute of Agrochemistry and Food Technology (IATA-CSIC), 46980 Paterna, Spain

7. Food and Human Nutritional Department, University of Manitoba, Winnipeg, MB R2H 2A6, Canada

8. GREEN-IT Bioresources for Sustainability, ITQB NOVA, Av. da República, 2780-157 Oeiras, Portugal

Abstract

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.

Funder

TRACE-RICE—Tracing rice and valorising side streams along Mediterranean blockchain

FCT- Foundation for Science and Technology

European Regional Development Fund

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

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