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Citrus Seed Waste and Circular Bioeconomy: Insights on Nutritional Profile, Health Benefits, and Application as Food Ingredient
Publication . Seyyedi-Mansour, Sepidar; Carpena, María; Donn, Pauline; Barciela, Paula; Perez-Vazquez, Ana; Echave Álvarez, Javier; Pereira, Antia Gonzalez; Prieto Lage, Miguel A.
Citrus fruits are widely grown, processed, and distributed in more than 140 countries,
with annual global production exceeding 124.3 million metric tons. This substantial consumption
generates significant organic waste, accounting for approximately 50–60% of the total fruit mass,
primarily in the form of peel, pulp, and seeds. Often discarded or reused as animal feed, these wastes
contribute to significant environmental pollution and economic losses. Therefore, the valorization of
these by-products represents an important opportunity to mitigate these challenges and improve
the sustainability of the Citrus-related industry. This review highlights Citrus seed waste concerning
its invaluable bioactive compounds, including fatty acids, phenolic compounds, limonoids, dietary
fibers, vitamins, and carotenoids. Chemical compositions of Citrus seed biowaste differ depending on
a variety of factors, such as Citrus variety, fruit maturity, environmental conditions, waste storage conditions,
and extraction methods. The extraction and purification of phytochemicals from Citrus seed
biowaste are one of the major procedures for valorizing waste. The two types of effective extraction
methods are traditional (conventional extraction) and innovative (green extraction). Furthermore,
Citrus seeds have been demonstrated to exhibit several biological activities and health-promoting
properties including antioxidative, anti-inflammatory, and anti-cancer activities. Therefore, these
wastes are safe and beneficial compounds used in the production of functional foods, nutraceuticals,
pharmaceuticals, and cosmetics. A conclusion can be reached by emphasizing the abundance of
bioactive compounds in Citrus seed wastes, which makes them an excellent opportunity for increased
environmental and economic utilization.
Contributions to accelerating a numerical simulation of free flow parallel to a porous plane
Publication . Schepke, Claudio; Spigolon, Roberta A.; Rufino, José; Cristaldo, Cesar F. Da C.; Pizzolato, Glener L.
Flow models over flat p orous surfaces have applications in natural processes, such as material, food, chemical processing, or mountain mudflow simulations. The development
of simplified a nalytical or numerical models can predict characteristics such as velocity, pressure, deviation length, and even temperature of such flows for geophysical and engineering purposes. In this context, there is considerable interest in theoretical and experimental models. Mathematical models to represent such phenomena for fluid mechanics have continuously been developed and implemented. Given this, we propose a mathematical and simulation model to describe a free-flowing flow pa rallel toa
porous material and its transition zone. The objective of the application is to analyze the influence o f t he p orous matrix on the flow u nder d ifferent m atrix p roperties. W e i mplement a Computational Fluid Dynamics scheme using the Finite Volume Method to simulate and calculate the numerical solutions for case studies. However, computational applications of this type demand high performance, requiring parallel execution techniques. Due to this, it is necessary to modify the sequential version of the code. So, we propose a methodology describing the steps required to adapt and improve the code. This approach decreases 5.3% the execution time of the sequential version of the code. Next,
we adopt OpenMP for parallel versions and instantiate parallel code flows and executions on multi-core. We get a speedup of 10.4 by using 12 threads. The paper provides simulations that offer the correct understanding, modeling, and construction of abrupt transitions between free flow a nd porous media. The process presented here could expand to the simulations of other porous media problems. Furthermore, customized simulations require little processing time, thanks to parallel processing.
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Fundação para a Ciência e a Tecnologia
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Funding Award Number
2023.04987.BD
