IOGURTES COM POLPA DE NONI E ACEROLA: AVALIAÇÃO FÍSICO-QUÍMICA, ATIVIDADE ANTIOXIDANTE E PERFIL SENSORIAL

A inovação na elaboração de produtos pela indústria de alimentos visa agregar atributos de qualidade diferencial, tal como propriedades antioxidantes. Assim, no desenvolvimento de novos sabores de iogurtes de frutas a avaliação sensorial é necessária para assegurar uma boa comercialização. Dessa forma, o objetivo deste estudo foi elaborar iogurtes com polpa de noni e acerola e avaliar as propriedades físico-químicas, atividade antioxidante e perfil sensorial. O iogurte natural foi utilizado como controle (0:0) e os demais tratamentos foram obtidos com as proporções de polpa de noni e acerola: (0:2,5); (2,5:0); (1,25:1,25); (0:5); (5:0) e (2,5:2,5). A acidez titulável, gordura e proteína lácteas, diferiram com o tratamento, mas permaneceram dentro dos padrões de qualidade estabelecidos pela legislação brasileira. O tratamento (0:5) apresentou maior teor de fenólicos e junto com o tratamento (0:2,5) apresentaram maior atividade antioxidante. Com exceção do tratamento (5:0), os demais iogurtes apresentaram aceitação e intenção de compra semelhante ao iogurte natural. O tratamento (2,5:0) apresentou menor rejeição pelo teste de intenção de compra. Assim, todos os iogurtes elaborados possuem grande potencialidade comercial

Tendências Atuais na Eficácia e Mecanismos de Ação: Uma Revisão Sistemática sobre o Uso de Análogos de GLP-1 no Tratamento da Obesidade

This work presents a systematic review on current trends in the effectiveness and mechanisms of action of GLP-1 analogs in the treatment of obesity. The introduction highlights the growing prevalence of obesity as a global public health challenge, positioning GLP-1 analogs as a promising approach. The methodology describes the formulation of the research question, study selection criteria, data extraction, and the analysis of study quality. The results emphasize the efficacy of these analogs in weight reduction, explore the neurobiological mechanisms involved, and demonstrate improvements in obesity-related comorbidities. The conclusion underscores the consistency of the reviewed evidence and the need for further research to optimize personalized therapeutic approaches.Este trabalho apresenta uma revisão sistemática sobre as tendências atuais na eficácia e nos mecanismos de ação dos análogos de GLP-1 no tratamento da obesidade. A introdução destaca a crescente prevalência da obesidade como um desafio global de saúde pública, situando os análogos de GLP-1 como uma abordagem promissora. A metodologia descreve a formulação da pergunta de pesquisa, os critérios de seleção de estudos, a extração de dados e a análise da qualidade dos estudos. Os resultados destacam a eficácia desses análogos na redução de peso, exploram os mecanismos neurobiológicos envolvidos e evidenciam melhorias nas comorbidades associadas à obesidade. A conclusão ressalta a consistência da evidência revisada e a necessidade de pesquisas adicionais para otimizar abordagens terapêuticas personalizadas

Applications of platelet- and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery

Introduction: Oral and maxillofacial surgery plays a crucial role in the reconstruction and restoration of facial structures, seeking to improve both aesthetics and function. The use of platelet-rich fibrin (L-PRF) represents a notable advance, accelerating healing and improving surgical outcomes. Materials and Methods: This review covers 710 studies from various electronic databases (PubMed, Scopus, Web of Science, Science Direct and Google Scholar). The aim is to thoroughly investigate the applications of platelet- and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery and Traumatology. Results: The analysis reveals that L-PRF stands out as an effective autologous therapy in oral and maxillofacial surgery. Its application shows remarkable potential for accelerating the healing process, contributing significantly to the effectiveness of procedures. Discussion: L-PRF has emerged as an excellent choice in oral and maxillofacial surgery and traumatology, improving both the aesthetic and functional aspects of facial reconstructions. This highlights the relevance of this autologous therapy and its benefits in surgical practice. Conclusion: The applications of platelet and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery and Traumatology are fundamental and promising. This advance represents not only a means of accelerating healing, but also a significant contribution to better aesthetic and functional results in surgical procedures in this area.Introduction: Oral and maxillofacial surgery plays a crucial role in the reconstruction and restoration of facial structures, seeking to improve both aesthetics and function. The use of platelet-rich fibrin (L-PRF) represents a notable advance, accelerating healing and improving surgical outcomes. Materials and Methods: This review covers 710 studies from various electronic databases (PubMed, Scopus, Web of Science, Science Direct and Google Scholar). The aim is to thoroughly investigate the applications of platelet- and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery and Traumatology. Results: The analysis reveals that L-PRF stands out as an effective autologous therapy in oral and maxillofacial surgery. Its application shows remarkable potential for accelerating the healing process, contributing significantly to the effectiveness of procedures. Discussion: L-PRF has emerged as an excellent choice in oral and maxillofacial surgery and traumatology, improving both the aesthetic and functional aspects of facial reconstructions. This highlights the relevance of this autologous therapy and its benefits in surgical practice. Conclusion: The applications of platelet and leukocyte-rich fibrin (L-PRF) in Oral and Maxillofacial Surgery and Traumatology are fundamental and promising. This advance represents not only a means of accelerating healing, but also a significant contribution to better aesthetic and functional results in surgical procedures in this area

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

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

Spatial variation of physicochemical characteristics in Formosa papaya fruits

In order to evaluate the postharvest quality of different parts of the papaya fruit, an experiment was conducted in the Postharvest Laboratory, Department of Agrotechnology and Social Sciences, Universidade Federal Rural do Semiárido, Mossoró, RN, in September 2009. The fruits were harvested at maturity stage 2, when the fruit has 25% of the rind yellow. The experimental design was completely randomized with 20 repetitions, each repetition a fruit. The fruits were cut into three parts: stalk, median and apical, in which we analyzed the following characteristics: outer and inner pulp firmness, titratable acidity (TA), pH, soluble solids (SS), vitamin C and the SS/TA ratio. The stalk region presented higher acidity and pH than the median and apical areas. The firmness of the outer pulp iswas greater than that observed inside the fruit. The highest levels of soluble solids and SS/TA were found in the apical and median parts, demonstrating that these regions have milder flavor than the stalk region.La papaya es una fruta muy apreciada en las Américas. Su calidad está intrísecamente asociada a sus características fisicoquímicas. En ese sentido se evaluó la calidad, después de la colecta de papaya Formosa. De esa manera un experiment fue realizado en el Laboratório de Tecnologia de los Alimentos de la Universidad Rural del Semiárido (UFERSA), Mossoró, RN com 20 frutos recogidos sirve el período de maduración (hasta 25% de cascara amarilla), siendo seleccionados en tres porciones distintas (peducular, mediana y apical) a partir de las cuales fueron analizadas las seguientes características: firmeza de la pulpa, acidez titulablae, pH, sólidos solubles, vitamina C y índice de maduración. El delineamento experimental utilizado fue totalmente casualizado, com 20 repeticiones de un fruto. La firmeza externa de la pulpa fue superior a la firmeza interna de los frutos. La region peduncular presentó valores de acidez titulables y pH superiors a las regions pedical y medianas. Y los mayors índices de sólidos solubles y índice de maturagao fueron detectados en las regions apical e mediana, demonstando que esas regiones presentan sabores mas prominentes que la region peduncular