Coumarins from acacia longifolia

Acacia longifolia (Andr.) Willd. é uma árvore pequena (3-4m de altura), amplamente distribuída na zona litorânea do Estado do Rio Grande do Sul. Originária da Austrália é de fácil cultivo, sendo utilizada como fixadora de dunas de areia ou charcos de beira de rio, sujeitos a erosão. Dos seus órgãos florais foram isoladas duas cumarinas, a escopoletina e a escoparona em teores bastante baixos (0,01% m/m).Acacia longifolia (Andr.) Willd. Leguminosae - Mimosoideae is a litlle tree (3-4m in height) growing at Rio Grande do Sul sea-shore. Generally is cultivated to firm sandy hills or ravine rivers. From its flowers organs was isolated two coumarins (scopoletin and scoparon) in traces (0,01 % w/w)

Óleo essencial de frutos de Callistemon rigidus H.Br., cultivado no Rio Grande do Sul

Analisando-se por cromatografia gasosa a composição química do óleo essencial dos frutos de CALLISTEMON RIGIDUS H.Br., arbusto cultivado para os fins ornamentais, determinou-se 39,1 % de 1,8-epoxi-p-mentano entre outros 3 componentes encontrados em menores proporções.Determination of CALLISTEMON RIGIDUS H.Br. fruits essential oil, cultivated ornamental shrub, showed 39,1% of 1,8 - epoxi-p-mentano as the major compound and 3 minor constituents. The investigation was made by GLC

Evaluation of solasodine content in Solanum granuloso-leprosum Dun fruits

Extratos de frutos verdes de Solanum granuloso-leprosum Dun., planta nativa no Rio Grande do Sul (Brasil), renderam 1,639% de solasodina identificada por dados químicos e físicos. Os glicoalcalóides foram extraídos e hidrolisados pelos métodos usuais. Os resultados indicam que o isolamento de solasodina a partir desses frutos apresenta viabilidade econômica.Unripe fruits extracts of Solanum granuloso-leprosum DUN. grown in Rio Grande do Sul (Brazil) afforded 1,639% solasodine identified by chemical and physical data. The glycoalkaloids were extracted and hydrolised by the usual methods. The results indicated the fruits would provide a good economic proposition for the isolation of solasodine from this plant species

Controle cromatográfico de plantas de uso medicinal popular

A cromatografia analítica em camada delgada foi aplicada a extratos de 13 plantas medicinais de uso popular, contendo flavonóides. O objetivo é determinar um cromatograma padrão para cada extrato, como subsídio a sua diagnose, e obviamente, ao controle dos farmacógenos, pela evidenciação dos seus componentes.Analytical thin layer chromatography has been applied to 13 plants concentrated extracts with flavonoids, demanding to present subsidies to the diagnosis of the authenticated material used in folk medicine. It is a diagnosis by the chromatographyc profile of medicinal plants extracts

Determinação de solasodina em algumas espécies do gênero Solanum nativas do Rio Grande do Sul

Não disponível.A survey for evaluating solasodine content in 5 species of Solanum (S. americanum Mill., S. atropurpureum Schrank, S. ciliatum Lam., S. diflorum Vell, and S. sisymbrifolium Lam.) grown in Rio Grande do Sul was carry out. TLC showed that solasodine is the main compound in the dichlorometane and metanol extracts from the fruits. Amounts of solasodine in ripe fruits were: 1,115%, 0,310% and 0,655% obtained from S. americanum, S. atropurpureum and S. ciliatum respectively; in green pale or green yellowish (= mature fruits) fruits were: from S. americanum 0,025%; from S. atropurpureum 0,125% and from S. ciliatum 2,9%; in yellow or red fruits were: from S. americanum 0,035%; from S. atropurpureum 1,9% and from S. ciliatum 2,09%: No values for solasodine were determined in any fruit of different stages of development for S. diflorum and S. sisymbrifolium

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

Caracterização e doseamento de esparteína em Cytisus scoparius L., Leguminosae aclimatada no Rio Grande do Sul

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Analise quimica e farmacologica de solanum fastigiatum willd

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