Carla Brites

Instituto Nacional de Investigação Agrária e Veterinária

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Bruna Carbas

Instituto Nacional de Investigação Agrária e Veterinária

María Carlota Vaz Patto

Universidade Nova de Lisboa

Ana Castanho

Instituto Nacional de Investigação Agrária e Veterinária

Jorge C. Oliveira

University College Cork

A. Sanches‐Silva

University of Coimbra

Andreia Freitas

Instituto Nacional de Investigação Agrária e Veterinária

Pedro Mendes‐Moreira

Polytechnic Institute of Coimbra

Maria Rosário Bronze

Instituto de Biologia Experimental e Tecnológica

Andreia Soares

Instituto Nacional de Investigação Agrária e Veterinária

Mara Lisa Alves

Universidade Nova de Lisboa

Cooperative Institutions

Instituto Nacional de Investigação Agrária e Veterinária

Universidade Nova de Lisboa

University of Lisbon

Universidade do Porto

International Rice Research Institute

Rede de Química e Tecnologia

University of Trás-os-Montes and Alto Douro

Instituto de Biologia Experimental e Tecnológica

University of Coimbra

Consejo Nacional de Investigaciones Científicas y Técnicas

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Maize-Based Gluten-Free Bread: Influence of Processing Parameters on Sensory and Instrumental Quality

Food and Bioprocess Technology (2008)

Carla Brites Maria João Trigo Carla Eliete Iochims dos Santos Concha Collar Cristina M. Rosell

Starch gelatinization

Gluten free

Granulation

10.1007/s11947-008-0108-4

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Citations (122)

Diversity of Global Rice Markets and the Science Required for Consumer-Targeted Rice Breeding

PLoS ONE (2014)

Mariafe Calingacion Alice G. Laborte Andrew Nelson Adoracion P. Resurreccion Jeanaflor Crystal T. Concepcion

With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a 'one size fits all' crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future. Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market.

Trait

Demographics

Grain Quality

Identification

10.1371/journal.pone.0085106

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Citations (282)

Editorial for the Special Issue, “Quality Assay, Processing and Bio-Function of Rice Products”

Foods (2022)

Ken’ichi Ohtsubo Carla Brites Cristina M. Rosell

Rice is one of the most important cereals in the world alongside wheat and maize [...].

10.3390/foods11121755

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Citations (0)

Near-Infrared Spectroscopy and Machine Learning: Analysis and Classification Methods of Rice

IntechOpen eBooks (2021)

Pedro Sampaio Carla Brites

Nowadays, the conventional biochemical methods used to differentiate and characterize rice types, biochemical properties, authentication, and contamination issues are difficult to implement due to the high cost of reagents, time requirement and environmental issues. Actually, the success of agri-food technology is directly related to the quality of analysis of experimental data acquired by sensors or techniques such as the infrared-spectroscopy. To overcome these technical limitations, a rapid and non-destructive methodology for discrimination and classification of rice has been investigated. Near-infrared spectroscopy is considered as fast, clean, and non-destructive analytical tools and its spectra present significant biomolecular information that must be analysed by sophisticated methodologies. Machine learning plays an important role in the analysis of the spectral data being used several methods such as Partial Least Squares, Principal Component Analysis, Partial Least Squares-Discriminant Analysis, Support Vector Machine, Artificial Neuronal Network, among others which can successfully be applied for food classification and discrimination as well as in terms of authentication and contamination issues. The quality control of rice is extremely important at every stage of production, beginning with estimation of raw agricultural materials and monitoring their quality during storage, estimating food quality during the production process and of the final products as well as the determination of their authenticity and the detection of adulterants.

10.5772/intechopen.99017

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Citations (4)

Maize and resistant starch enriched breads reduce postprandial glycemic responses in rats

Nutrition Research (2011)

Carla Brites Maria João Trigo Belmira Carrapiço M Alviña R.J.B. Bessa

Resistant Starch

Wheat bread

10.1016/j.nutres.2011.02.001

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Citations (72)

Validation of an HPLC-MS/MS method for the quantification of pesticide residues in Rice and assessment of the washing effect

Food Chemistry X (2024)

Filipa Carreiró Sílvia Cruz Barros Carla Brites Ana Rita Soares Mateus Fernando Ramos

10.1016/j.fochx.2024.101938

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Citations (1)

Exploiting the bioactive properties of γ-oryzanol from bran of different exotic rice varieties

Food & Function (2019)

Ana Castanho Manuela Lageiro Ricardo C. Calhelha Isabel C.F.R. Ferreira Marina Sokóvić

Analysing nine rice bran extracts with different γ-oryzanol concentrations revealed cytotoxic effects on four human tumour cell lines.

10.1039/c8fo02596g

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Citations (28)

Inheritance of Gliadin and Glutenin Proteins in Four Durum Wheat Crosses

Cereal Research Communications (2000)

Carla Brites J. M. Carrillo

Glutenin

Gliadin

10.1007/bf03543600

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Citations (22)

Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour

BMC Plant Biology (2019)

Mara Lisa Alves Bruna Carbas Maria João Gaspar Manuel Paulo Cláudia Brites

Maize is a crop in high demand for food purposes and consumers worldwide are increasingly concerned with food quality. However, breeding for improved quality is a complex task and therefore developing tools to select for better quality products is of great importance. Kernel composition, flour pasting behavior, and flour particle size have been previously identified as crucial for maize-based food quality. In this work we carried out a genome-wide association study to identify genomic regions controlling compositional and pasting properties of maize wholemeal flour.A collection of 132 diverse inbred lines, with a considerable representation of the food used Portuguese unique germplasm, was trialed during two seasons, and harvested samples characterized for main compositional traits, flour pasting parameters and mean particle size. The collection was genotyped with the MaizeSNP50 array. SNP-trait associations were tested using a mixed linear model accounting for genetic relatedness. Fifty-seven genomic regions were identified, associated with the 11 different quality-related traits evaluated. Regions controlling multiple traits were detected and potential candidate genes identified. As an example, for two viscosity parameters that reflect the capacity of the starch to absorb water and swell, the strongest common associated region was located near the dull endosperm 1 gene that encodes a starch synthase and is determinant on the starch endosperm structure in maize.This study allowed for identifying relevant regions on the maize genome affecting maize kernel composition and flour pasting behavior, candidate genes for the majority of the quality-associated genomic regions, or the most promising target regions to develop molecular tools to increase efficacy and efficiency of quality traits selection (such as "breadability") within maize breeding programs.

Germ plasm

Candidate gene

Trait

10.1186/s12870-019-1729-7

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Citations (20)

Challenges and opportunities for food processing to promote consumption of pulses

Revista de Ciências Agrárias (2016)

Alexandra Seabra Pinto Manuela Guerra Bruna Carbas Shivani Pathania Ana Castanho

The benefits that pulses bring to the consumers - nutritional, health and environmental - meet several of the current consumption trends in the EU. The evolution of pulses' consumption in the European regions displays two different panoramas: the North-South disparity and the similar lower consumption in the Eastern and Western regions. To improve consumer acceptance it is crucial to invest on educating and communicating to the consumers how pulses can contribute to healthy and sustainable diets. Here we present different food processing technologies that have the potential to increase not only the nutritional and organoleptic quality of pulses, but also it´s convenience of use as this emerges as a growing factor in the decision to purchase and food choice of consumers. This approach also includes the culinary innovation for the development of appealing, convenient and nutritive meals with healthy and environmental claims.

Consumption

Sustainable Consumption

Organoleptic

Health Benefits

10.19084/rca16117

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Citations (9)