Chitosan microparticles loaded with essential oils inhibit duo-biofilms of Candida albicans and Streptococcus mutans

Oral candidiasis is a common fungal infection that affects the oral mucosa, and happens when Candida albicans interacts with bacteria in the oral microbiota, such as Streptococcus mutans, causing severe early childhood caries. C. albicans and S. mutans mixed biofilms are challenging to treat with conventional antimicrobial therapies, thus, new anti-infective drugs are required. Objective: This study aimed to test a drug delivery system based on chitosan microparticles loaded with geranium and lemongrass essential oils to inhibit C. albicans and S. mutans mixed biofilms. Methodology: Chitosan microparticles loaded with essential oils (CM-EOs) were obtained by spray-drying. Susceptibility of planktonic were performed according CLSI at 4 to 2,048 µg/mL. Mixed biofilms were incubated at 37ºC for 48 h and exposed to CM-EOs at 256 to 4,096 µg/mL. The antimicrobial effect was evaluated using the MTT assay, with biofilm architectural changes analyzed by scanning electron microscopy. RAW 264.7 cell was used to evaluate compound cytotoxicity. Results: CM-EOs had better planktonic activity against C. albicans than S. mutans. All samples reduced the metabolic activity of mixed C. albicans and S. mutans biofilms, with encapsulated oils showing better activity than raw chitosan or oils. The microparticles reduced the biofilm on the slides. The essential oils showed cytotoxic effects against RAW 264.7 cells, but encapsulation into chitosan microparticles decreased their toxicity. Conclusion: This study demonstrates that chitosan loaded with essential oils may provide an alternative method for treating diseases caused by C. albicans and S. mutans mixed biofilm, such as dental caries

Chitosan microparticles loaded with essential oils inhibit duo-biofilms of Candida albicans and Streptococcus mutans

Abstract Oral candidiasis is a common fungal infection that affects the oral mucosa, and happens when Candida albicans interacts with bacteria in the oral microbiota, such as Streptococcus mutans, causing severe early childhood caries. C. albicans and S. mutans mixed biofilms are challenging to treat with conventional antimicrobial therapies, thus, new anti-infective drugs are required. Objective This study aimed to test a drug delivery system based on chitosan microparticles loaded with geranium and lemongrass essential oils to inhibit C. albicans and S. mutans mixed biofilms. Methodology Chitosan microparticles loaded with essential oils (CM-EOs) were obtained by spray-drying. Susceptibility of planktonic were performed according CLSI at 4 to 2,048 µg/mL. Mixed biofilms were incubated at 37ºC for 48 h and exposed to CM-EOs at 256 to 4,096 µg/mL. The antimicrobial effect was evaluated using the MTT assay, with biofilm architectural changes analyzed by scanning electron microscopy. RAW 264.7 cell was used to evaluate compound cytotoxicity. Results CM-EOs had better planktonic activity against C. albicans than S. mutans. All samples reduced the metabolic activity of mixed C. albicans and S. mutans biofilms, with encapsulated oils showing better activity than raw chitosan or oils. The microparticles reduced the biofilm on the slides. The essential oils showed cytotoxic effects against RAW 264.7 cells, but encapsulation into chitosan microparticles decreased their toxicity. Conclusion This study demonstrates that chitosan loaded with essential oils may provide an alternative method for treating diseases caused by C. albicans and S. mutans mixed biofilm, such as dental caries

Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation

© 2016 Macmillan Publishers Limited. All rights reserved. Concerted political attention has focused on reducing deforestation, and this remains the cornerstone of most biodiversity conservation strategies. However, maintaining forest cover may not reduce anthropogenic forest disturbances, which are rarely considered in conservation programmes. These disturbances occur both within forests, including selective logging and wildfires, and at the landscape level, through edge, area and isolation effects. Until now, the combined effect of anthropogenic disturbance on the conservation value of remnant primary forests has remained unknown, making it impossible to assess the relative importance of forest disturbance and forest loss. Here we address these knowledge gaps using a large data set of plants, birds and dung beetles (1,538, 460 and 156 species, respectively) sampled in 36 catchments in the Brazilian state of Pará. Catchments retaining more than 69-80% forest cover lost more conservation value from disturbance than from forest loss. For example, a 20% loss of primary forest, the maximum level of deforestation allowed on Amazonian properties under Brazil's Forest Code, resulted in a 39-54% loss of conservation value: 96-171% more than expected without considering disturbance effects. We extrapolated the disturbance-mediated loss of conservation value throughout Pará, which covers 25% of the Brazilian Amazon. Although disturbed forests retained considerable conservation value compared with deforested areas, the toll of disturbance outside Pará's strictly protected areas is equivalent to the loss of 92,000-139,000 km2 of primary forest. Even this lowest estimate is greater than the area deforested across the entire Brazilian Amazon between 2006 and 2015 (ref. 10). Species distribution models showed that both landscape and within-forest disturbances contributed to biodiversity loss, with the greatest negative effects on species of high conservation and functional value. These results demonstrate an urgent need for policy interventions that go beyond the maintenance of forest cover to safeguard the hyper-diversity of tropical forest ecosystems

Biomass and cabon estimations and ecological indicators for secondary forest restoration in Paragominas, Pará

Os ecossistemas florestais são considerados reservatórios de carbono e têm sido apontados como alternativas para redução de gases do efeito estufa, principais responsáveis pelas mudanças climáticas globais, devido ao acúmulo de biomassa em seus tecidos durante seu desenvolvimento. Assim, surgiu uma grande demanda por pesquisas que quantifiquem o potencial dos ecossistemas florestais - principalmente as florestas secundárias - em sequestrar carbono da atmosfera e por investimentos em recuperação de áreas degradadas. Desta forma, este estudo tem como objetivo comparar florestas do município de Paragominas, Pará, em seis diferentes estágios de desenvolvimento: uma floresta primária e florestas secundárias com 4, 10, 15, 20 e 25 anos de abandono. A comparação entre as florestas se deu por meio da estimativa de carbono e biomassa, de indicadores ecológicos para fins de restauração florestal e de análises espectrais usando imagens de satélite Landsat. Para isso foi realizado um inventário florestal nas regiões de interesse, utilizando 32 parcelas experimentais. Os dados de DAP e altura coletados no inventário foram utilizados no cálculo de biomassa e carbono por meio de equações alométricas. Dados do inventário também foram utilizados para a elaboração dos indicadores para fins de restauração florestal, baseados nas características funcionais e estruturais das florestas estudadas, como diversidade de espécies, cipós, hábitos de vida, incidência de luz, etc. Após alocação das parcelas nas imagens de satélite Landsat e processamento dos dados, foi possível extrair informações quantitativas para comparar espectralmente as florestas. Para avaliar os indicadores para fins de restauração florestal, foi usada uma análise por componentes principais. Esta análise mostrou uma clara distinção entre as diferentes idades de florestas, sendo que a floresta intacta é mais semenhante às florestas secundárias mais maduras. Para a estimativa de biomassa, as análises mostraram que houve diferença estatística entre a floresta primária e todas as outras classes de floresta secundária quanto à biomassa média por hectare calculada por todas as equações utilizadas no estudo. Além disso, houve um aumento de biomassa com a idade das florestas, para todas as equações, ou seja, quanto mais madura a floresta, maior sua biomassa. As análises estatísticas mostraram que é possível distinguir floresta primária da maioria das classes de idade de floresta secundária utilizando um ou uma combinação de dados espectrais avaliados neste estudo. Imagens-fração, GV and shade, foram mais eficientes em diferenciar as florestas. Os resultados mostraram que é possível usar imagens Landsat para monitorar florestas secundárias e mapear classes de idades.Forest ecosystems are considered carbon sinks and have been pointed as an alternative for reducing the amount of greenhouse gases in the atmosphere, main drivers of global climate changes, due to biomass accumulation in their tissues during growth. Thus, there is great demand for research to quantify the potential of forest ecosystems - especially regrowing secondary forests - in absorbing carbon from the atmosphere and by investments in forest restoration. Therefore, this study aims to compare forests located in Paragominas, Pará, in six different stages: a primary forest and secondary forests with 4, 10, 15, 20 and 25 years of abandonment. The comparison among forests was made by estimating biomass and carbon, ecological indicators for forest restoration and spectral analysis using Landsat satellite imagery. For that purpose, forest inventories were conducted over regions of interest, at 32 experimental plots. The DBH and height data collected in the inventories were used to calculate biomass and carbon using allometric equations. Inventory data were also used to calculate indicators of forest restoration, based on functional and structural characteristics of the studied forests, such as species diversity, lianas, life habits, incidence of light, etc. After allocation of plots in the Landsat imagery and data processing, it was possible to extract quantitative information to compare forests regarding their spectral signature. To assess indicators for restoration purposes, was used a principal component analysis. The results showed a clear distinction among the different ages of forest, in which intact forest is showed more similarity to mature secondary forests then to young secondary forests. For biomass estimation, the analysis showed that there was statistical difference between the primary forest and all other classes of secondary forest considering the average biomass per hectare calculated for all equations used in the study. Furthermore, there was an increase in biomass with age of forests, for all equations, that is, the older the forest, the greater its biomass. The spectral analysis showed that it is possible to distinguish primary forest from most ages of secondary forests using one or a combination of spectral features evaluated in this study. Fraction images, GV and shade, showed more efficient in separating forest types. These results showed that it is possible to use Landsat imagery spectral features to remotely monitor secondary forest and to map age classes

Análise espectral de florestas secundárias com imagens Landsat

Abandonment of land use areas established in cleared old growth forests can generate secondary forest succession resulting in secondary growth forests. Because of its importance in providing ecological benefits, such as biomass accumulation and reducing landscape fragmentation, specially when long-term growth is allowed, mapping stages of secondary growth became key in the Amazon region to better understanding land use and land cover change processes. Landsat imagery is the most largely used imagery for that purpose due to its adequate spatial resolution, spectral response and historic availability. However, a few studies have assessed the spectral characteristics of secondary growth using a long chronosequence (i.e., > 25 years) combined with forest transects and rigorous statistical analysis. The objectives of this study are: i) evaluate whether secondary growth age classes can be discriminated in Landsat images and ii) define the best set of spectral features that allow the discrimination of secondary growth. To do that, we used statistical tests to compare reflectance images and the vegetation index NDVI. The statistical analysis showed that it was possible distinguish primary forest from most age classes of secondary growth using one or a combination of spectral features evaluated in this study. These results hold promises to use Landsat imagery spectral features to characterize biophysical properties of secondary growth, and to map age classes. More advanced techniques such as spectral mixture models may also improve the spectral separability of second growth age classes and are being investigated by our research group.Pages: 6888-689

Mapeamento da cobertura do solo de Paragominas-PA com imagens de satélite de alta resolução: aplicações para o Cadastro Ambiental Rural (CAR)

The demand for detailed land cover maps has increased in the Amazon in order to meet the requirements of the Rural Cadastral System (CAR - Cadastro Ambiental Rural), an important compliance enforced by the new Brazilian Forest Code. In order to improve the quality and the precision of CAR information, we have tested high spatial resolution RapidEye imagery to support CAR anlaysis. Two objectives were defined for this study: (i) describe the methodology used to map the land cover of Paragominas municipality for CAR purpose; and (ii) evaluate challenges to automate and apply this methodology into large scales. The mapping was conducted through visual interpretation of RapidEye color composites at 1:25.000 scale. The classes were defined based on color, texture, format, context of the color composite, and time series historical analysis of Landsat data. The land cover classes were: forest, old degraded forest, degraded forest, regeneration, deforestation, reforestation, urban area, riparian forest, waterbodies, shade and cloud. The results indicate that the proposed approach improves spatial detail and land cover class delineation for CAR application.Pages: 1283-129