Development of a mixed juice of mango, guava and acerola using mixture design

No âmbito dos alimentos recomendados para redução do risco de desenvolver doenças e para melhoria da qualidade de vida, estão as frutas e seus derivados. Este trabalho teve como objetivo desenvolver um suco misto de manga, goiaba e acerola, com aceitação sensorial, utilizando delineamento de mistura para determinar as proporções das polpas. Em cada tratamento, essas proporções, foram definidas segundo um delineamento de mistura simplex aumentado de 10 tratamentos. Foram realizadas análises físico-químicas, tais como: pH, sólidos solúveis (oBrix), acidez titulável, relação de sólidos solúveis (SST)/acidez titulável (ATT), teor de vitamina C e análise sensorial. Com base nos resultados, verificou-se que todas as formulações, obtidas a partir de manga, goiaba e acerola, foram aceitas pelos consumidores. As polpas de goiaba e manga deveriam participar numa maior proporção da mistura, pois favoreceram a aceitação. A polpa de acerola, mesmo em menor proporção, contribuiu para o aumento do teor de vitamina C. As formulações com maior proporção de manga apresentaram maiores valores de pH. Maiores proporções de acerola contribuíram para maiores valores de acidez titulável. As formulações que continham maiores proporções de goiaba geraram maiores valores da relação SST/ATT. _________________________________________________________________________________________ ABSTRACT: In the context of recommended foods to reduce the risk of developing diseases and to improve the quality of life, are the fruits and their derivatives. This study aimed to develop a mixed juice of mango, guava and acerola, with acceptability sensory, using experimental blending to determine the optimal proportions of pulps. In each treatment, these proportions have been defined determined according to a design blending simplex increased by 10 treatments. Were performed physicochemical analyses such as: pH, soluble solids (°Brix), acidity, vitamin C content and sensory analysis. Based on the results, it was found that all the formulations derived from mango, guava and acerola were accepted by consumers. The pulp of guava and mango should participate in a greater proportion of the mix, since they promote acceptance. The pulp of acerola, even in a smaller proportion, contributed to the increase in content of vitamin C

TNF-α mediated upregulation of Na1.7 currents in rat dorsal root ganglion neurons is independent of CRMP2 SUMOylation

Clinical and preclinical studies have shown that patients with Diabetic Neuropathy Pain (DNP) present with increased tumor necrosis factor alpha (TNF-α) serum concentration, whereas studies with diabetic animals have shown that TNF-α induces an increase in NaV1.7 sodium channel expression. This is expected to result in sensitization of nociceptor neuron terminals, and therefore the development of DNP. For further study of this mechanism, dissociated dorsal root ganglion (DRG) neurons were exposed to TNF-α for 6 h, at a concentration equivalent to that measured in STZ-induced diabetic rats that developed hyperalgesia. Tetrodotoxin sensitive (TTXs), resistant (TTXr) and total sodium current was studied in these DRG neurons. Total sodium current was also studied in DRG neurons expressing the collapsin response mediator protein 2 (CRMP2) SUMO-incompetent mutant protein (CRMP2-K374A), which causes a significant reduction in NaV1.7 membrane cell expression levels. Our results show that TNF-α exposure increased the density of the total, TTXs and TTXr sodium current in DRG neurons. Furthermore, TNF-α shifted the steady state activation and inactivation curves of the total and TTXs sodium current. DRG neurons expressing the CRMP2-K374A mutant also exhibited total sodium current increases after exposure to TNF-α, indicating that these effects were independent of SUMOylation of CRMP2. In conclusion, TNF-α sensitizes DRG neurons via augmentation of whole cell sodium current. This may underlie the pronociceptive effects of TNF-α and suggests a molecular mechanism responsible for pain hypersensitivity in diabetic neuropathy patients.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Production of Hydrogen and their Use in Proton Exchange Membrane Fuel Cells

This work will show an overview of the hydrogen production from ethanol by steam reforming method, using distinct catalysts, resulting in low carbon monoxide content in H2 produced; a thermodynamic analysis of reforming employing entropy maximization, the ideal condition for ethanol, and other steam reforming reactions, the state of the art of steam reforming catalysts for H2 production with low CO content. Moreover, in the second part, there will be an overview of the use of hydrogen in a proton exchange membrane fuel cell (PEMFC), the fuel cell operational conditions, a thermodynamic analysis of PEMFC, the catalysts used in the electrodes of the fuel cell, consequences of the CO presence in the hydrogen fuel feed in PEMFC, and the operation conditions for maximum output power density

ESTUDO ECOLÓGICO DOS CASOS DE DENGUE NO SUDESTE BRASILEIRO ENTRE 2014 E 2023

Dengue is an extremely prevalent arbovirus in Brazil, particularly in the Southeastern region, which shows alarming growth patterns. This study aims to analyze the clinical and epidemiological panorama of dengue cases in Southeastern Brazil from 2014 to 2023. This is a descriptive, quantitative, and retrospective study based on data obtained through the Notifiable Diseases Information System (SINAN) from the Department of Informatics of the Unified Health System (DATASUS).The total number of confirmed dengue cases in the Southeast region between 2014 and 2023 was 5,103,951. The capital, Belo Horizonte, had the highest number of cases (n=343,397). The age group with the highest frequency of dengue cases was 20 to 39 years, accounting for 31.13% (n=1,893,575) of the cases. The majority of individuals had completed high school, corresponding to 49.33%. The most frequent race/color in the analyzed sample was white, corresponding to 57.77% (n=2,060,473) of the cases. The sample was mostly composed of female individuals (45.92%). The majority of cases received clinical-epidemiological confirmation (57.25%), with a cure rate of 99.89% (n=4,142,176). The study highlighted the increasing pattern of dengue cases, although the prognosis was favorable for most patients.  A dengue é uma arbovirose extremamente prevalente no Brasil, principalmente na região Sudeste do país que apresenta padrões alarmantes de crescimento.  O presente trabalho tem o objetivo de analisar o panorama clínico e epidemiológico dos casos de dengue no sudeste brasileiro de 2014 a 2023. Trata-se de um estudo descritivo, quantitativo e retrospectivo,com base em dados obtidos através do Sistema de Notificação de Agravos (SINAN), no Departamento de Informática do Sistema Único de Saúde (DATASUS). O total de casos confirmados de dengue, no Sudeste, entre 2014 e 2023, foi de  5.103.951.A capital Belo Horizonte foi aquela que apresentou maiores números de casos (n=343.397). A faixa etária com maior frequência de casos de dengue foi a de 20 a 39 anos, correspondendo a um percentual de 31,13% (n=1.893.575) dos casos. Os indivíduos, em sua maioria, apresentavam Ensino Médio Completo, correspondendo a 49,33%. A cor/ raça mais frequente, na amostra analisada, foi a branca correspondendo a 57,77% (n=2.060.473) dos casos. A amostra , em sua maioria,foi composta por indivíduos do sexo feminino (45,92% ). A maioria dos casos recebeu confirmação clínico-epidemiológica (57,25%), com evolução para cura em 99,89% dos casos (n=4.142.176). No estudo, ficou evidente o padrão de crescimento do número de casos , embora o prognóstico desta patologia tenha sido favorável na maioria dos pacientes

Erratum to: The study of cardiovascular risk in adolescents – ERICA: rationale, design and sample characteristics of a national survey examining cardiovascular risk factor profile in Brazilian adolescents

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Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio