EFEITO DO PROCESSO HIDROTÉRMICO SOBRE O TEOR DE FIBRA ALIMENTAR EM HORTALIÇAS

Considerando a importância das fibras alimentares na redução de doenças crônicas, esta pesquisa teve como objetivo avaliar o efeito do processamento hidrotérmico sobre o teor de fibra alimentar total e suas frações em hortaliças. O material para estudo foi constituído por beterraba (Beta vulgaris rubra L.), cenoura (Daucus carota sativa D.C.) e repolho (Brassica oleracea capiata D.C.). Os teores de fibra alimentar total (FAT), fibra insolúvel (FAI) e fibra solúvel (FAS) foram quantificados pelo método gravimétrico não-enzimático. Os resultados obtidos em g/100 g para amostras cruas de beterraba, cenoura e repolho foram respectivamente, 2,55, 2,62 e 1,84 de FAT; 2,26, 2,65 e 1,80 de FAI e 0,05, 0,00 e 0,00 de FAS. Já as amostras cozidas alcançaram 2,55, 3,17 e 1,96 de FAT, 2,06, 2,63 e 1,66 de FAI, 0,30, 0,42 e 0,19 de FAS para beterraba, cenoura e repolho.  Tais resultados permitiram concluir que apesar da fração insolúvel predominar nas hortaliças in natura e cozidas, o processamento hidrotérmico promove aumento da fração solúvel

ASPECTOS FÍSICO-QUÍMICOS E FISIOLÓGICOS DO AMIDO RESISTENTE

A presente revisão teve por objetivo estudar os fatores que influem na formação do amido resistente (AR) e sua proporção nos alimentos, visando auxiliar os profissionais da área de saúde no estabelecimento de recomendações dietéticas. O termo amido resistente é definido como a soma do amido e produtos da sua degradação que não são digeridos pelas enzimas humanas de indivíduos saudáveis. O amido resistente foi abordado quanto a sua classificação e formação, bem como seus efeitos fisiológicos sobre o metabolismo intestinal, glicídico e lipídico. Verificou-se que não obstante comprovação das propriedades prebióticas do AR, os mecanismos sistêmicos dos ácidos graxos de cadeia curtos produzidos durante a fermentação e os efeitos sobre as respostas glicêmicas e lipídicas ainda são conflitantes. PHYSICAL-CHEMICAL AND PHYSIOLOGICAL ASPECTS OF RESISTANT STARCH Abstract The present revision had as objective: to study the factors, which have influence on resistant starch (RS) formation, and their content on foodstuffs, aiming to subsidies health professionals on dietary recommendations. The expression resistant starch refers to the sum of starch and its degradation products not digested by gastrointestinal tract enzymes from healthy human beings. Resistant Starch was approached according to its classification and formation and also according to its physiological effects on intestinal sugar and lipids metabolisms. It was observed RS prebiotics properties confirmation, although the systemic mechanisms of low chain fatty acids produced during fermentation and the effects on glycemic and lipidic responses are still conflicting

MICROBIOLOGICAL AND PHYSICOCHEMICAL QUALITY OF CURD CHESSE SOLD IN THE STATE OF ALAGOAS (BRAZIL)

The present study aimed to evaluate the microbiological and physicochemical quality of curd cheese commercialized in Alagoas (BRAZIL). Thirty samples were collect during a five months period in six points of sale. It was estimated the number of coagulase-positive Staphylococcus and coliforms, as well as the presence of Salmonella spp. and Listeria monocytogenes. Regarding physicochemical characteristics, pH, fat content and humidity were evaluated. Among the thirty analyzed samples, 20 (66.6%) were in accordance with Brazilian legislation parameters for coliforms, while 10 (33.3%) surpassed those limits. For coagulase-positive Staphylococcus 15 samples (50%) showed values above the allowed by legislation. None of the samples analyzed harbored Salmonella spp. or Listeria monocytogenes. Regarding physicochemical parameters, the average values observed were of 5.89 for pH, 23.6% for fat content and 46.96 g/100 g for humidity. Overall, the results obtained reflect the poor hygienic conditions observed from manufacture to commercialization, pointing towards a potential health risk for curd cheese consumers. Furthermore is necessary to regulate physicochemical standards for curd cheese fabication.

O efeito da adição da inulina na produção do queijo coalho: avaliação da caracterização

The present work proposed to analyze a coalho cheese with inulin. For that, inulin was added, in the stirring stage, during the process of making the coalho cheese to obtain two samples: SCC (standard coalho cheese) and ICC (coalho cheese with inulin). In the two studied samples, the following analyzes were carried out: pH, acidity, water activity and colorimetric. As well as it was possible to know the effect of the addition of inulin when stored under refrigeration for 14 days from the analysis of instrumental texture profile, melting capacity, acceptability test and purchase intention. The studied coalho cheese samples showed differences in physical-chemical and instrumental parameters evaluated. Inulin contributed to obtaining cheeses with less melting capacity and with a firm, soft texture and little adhesiveness. Both cheeses showed high luminosity (L*) and predominance of yellow color (b*) in detriment of green (a*). The various sensory attributes evaluated by tasters, as well as purchase intention, indicated good results for this new product. The proposed work contributes to the development of a profitable market for new dairy products enriched with physiologically active components, prebiotics, which is currently one of the research priorities of the food industry

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