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Brigitte Pons

Researcher at Centre de coopération internationale en recherche agronomique pour le développement

Publications -  11
Citations -  344

Brigitte Pons is an academic researcher from Centre de coopération internationale en recherche agronomique pour le développement. The author has contributed to research in topics: Starch & Brown rice. The author has an hindex of 6, co-authored 11 publications receiving 318 citations.

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A Rapid Method for the Determination of Amylose Content by Using Differential-Scanning Calorimetry

TL;DR: In this paper, a procedure calorimetrique for mesurer la teneur en amylose de differents materiaux bruts amylaces is proposed, based on the mesure par DSC de la variation de l'enthalpie de la formation of complexes entre l'amylose and les phospholipides ajoutes (L-alpha-lysophosphatidylcholine du jaune d'oeuf) observes pendant le refroidissement.
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Grain quality variation and relationships with morpho-physiological traits in rice (Oryza sativa L.) genetic resources in Europe

TL;DR: The variation in grain quality traits among rice (Oryza sativa L.) lines maintained in collections of five European rice-producing countries is assessed and possible relationships with morpho-physiological traits are investigated.
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Sensory texture of cooked rice is rather linked to chemical than to physical characteristics of raw grain

TL;DR: This paper described the multidimensional features of the texture of cooked rice (in particular the visual aspect and mechanical attributes) determined by sensorial analysis and linked these attributes with a wide range of physicochemical characteristics of raw grain.
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Modelling of brown rice and limited-water cooking modes and its potential use for texture prediction

TL;DR: In this article, the adaptation of a one-dimensional rice cooking model including water transfer, starch phase transitions and swelling to simulate both milled and brown Chu-cheong and Chil-bo rice cultivars was described.
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Modelling starch phase transitions and water uptake of rice kernels during cooking

TL;DR: In this article, a double sigmoid model was fitted with DSC data for any water content value, and each parameter of the mechanistic model was then modelled with conservative empirical water content functions.