Publications by authors named "M Rocio Meneses"

Article Synopsis
  • The study investigates the relationship between CEACAM1 levels and insulin metabolism in individuals with Type 2 diabetes and obesity.
  • Findings show that as insulin resistance and hyperinsulinemia increase, CEACAM1 levels decrease, particularly in those with prediabetes and Type 2 diabetes.
  • The results suggest that measuring circulating CEACAM1 could serve as a useful biomarker for assessing metabolic health and insulin clearance.
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This study investigated the valorization of leaves by producing a low-caffeine, antioxidant-rich product through the supercritical antisolvent extraction (SAE) process. The objective was to concentrate the antioxidants while selectively reducing the caffeine. The SAE treatments were conducted using an ethanolic extract of guayusa leaves under varying pressure (80 bar-150 bar) and temperature (35-45 °C) conditions to improve the recovery of chlorogenic acid (CGA) and caffeine fractionation.

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Article Synopsis
  • The study investigates how temperature affects the viral cycles of Zika (ZIKV) and Chikungunya (CHIKV) in mammalian (Vero) and mosquito (C6/36) cells.
  • At two temperatures, 28 °C and 37 °C, researchers compare the virus's genome quantification to its infectivity in both cell types.
  • Techniques like transmission electron microscopy reveal unique interactions, such as CHIKV's "virus-surfing" behaviors and its larger forms, while ZIKV is less prevalent in mosquito cells compared to mammalian cells.
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Beet is a nutritious and health-promoting food with important bioactive compounds in its industrial by-products. The encapsulation of antioxidants from beet by-products has been proposed for valorization. For this, an ethanol-water extract was mixed with polyvinylpyrrolidone (PVP) (used as a carrier agent) and then encapsulated.

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A validation of the factorial, Taguchi and response surface methodology (RSM) statistical models is developed for the analysis of mechanical tests of hybrid materials, with an epoxy matrix reinforced with natural Chambira fiber and synthetic fibers of glass, carbon and Kevlar. These materials present variability in their properties, so for the validation of the models a research methodology with a quantitative approach based on the statistical process of the design of experiments (DOE) was adopted; for which the sampling is in relation to the design matrix using 90 treatments with three replicates for each of the study variables. The analysis of the models reveals that the greatest pressure is obtained by considering only the source elements that are significant; this is reflected in the increase in the coefficient of determination and in the predictive capacity.

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