Marwa Yassamine Boudechiche

Mrs. Marwa Yassamine Boudechiche

Analytical Chemistry and Food Technology, Universidad de Castilla-La-Mancha, Ciudad Real, Spain

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 November 2022 in Foods
Verified
Journal Article
Open access
PDF file
JOJose C. Orellana-Palacios
Jose C. Orellana-Palacios
Milad HadidiMilad Hadidi
Milad Hadidi
Marwa Yassamine BoudechicheMarwa Yassamine Boudechiche
Marwa Yassamine Boudechiche
MOMaría López- Sepúlveda Ortega
María López- Sepúlveda Ortega
DGDiego Jesús González
Diego Jesús González
AKAmin Mousavi Khanegah
Amin Mousavi Khanegah
Plant-based proteins are gaining in attraction compared with animal-based proteins due to their superior ethical profiles, growing concerns on the part of various organizations about animal health and welfare, and increased global greenhouse-gas emissions in meat production. In this study, the response surface methodology (RSM) using a Box–Behnken design (BBD) was applied to optimize the ultrasound-assisted alkaline extraction of cherimoya-seed proteins as valuable by-products. The effects of three pH, temperature, and time factors on the protein-extraction yield and protein content were investigated. The pH at 10.5 and temperature of 41.8 °C for 26.1 min were considered the optimal ultrasound-assisted alkaline-extraction conditions since they provided the maximum extraction yield (17.3%) and protein content (65.6%). An established extraction technique was employed to enhance the cherimoya-seed protein yield, purity, and functional properties. A thermogravimetric analysis (TGA) of the samples showed that the ultrasound-assisted alkaline extraction improved the thermal stability of the protein concentrate.