1,863 research outputs found

    Optimization of Quercetin Extraction from Green Tea (Camellia sinensis) Using Central Composite Design, and the Pharmacological Activity of the Extract

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    The aim of this paper was to optimize an extraction procedure of quercetin from green tea using central composite design. Extraction time, ethanol concentration, and solid to liquid ratio were selected as the independent variables, while quercetin yield was defined as a response. The impact of factors and their interactions on the quercetin yield was studied based on the results of ANOVA test. The extraction time of 58.5 min, ethanol concentration of 94.7 % (v/v), and solid to liquid ratio of 1:19.4 (m/v) were found as the optimal conditions. The experimental confirmation of the proposed optimal conditions indicated that there was a good agreement between the experimental and predicted values. In addition to quercetin, the presence of 17 bioactive compounds was confirmed in the green tea extract using mass spectrometry method. Antioxidant, antimicrobial and antitumor activity of the optimal extract was determined using DPPH assay, disk diffusion method, and MTT assay, respectively

    Comparison of three data-driven techniques in modelling the evapotranspiration process.

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    Evapotranspiration is one of the main components of the hydrological cycle as it accounts for more than two-thirds of the precipitation losses at the global scale. Reliable estimates of actual evapotranspiration are crucial for effective watershed modelling and water resource management, yet direct measurements of the evapotranspiration losses are difficult and expensive. This research explores the utility and effectiveness of data-driven techniques in modelling actual evapotranspiration measured by an eddy covariance system. The authors compare the Evolutionary Polynomial Regression (EPR) performance to Artificial Neural Networks (ANNs) and Genetic Programming (GP). Furthermore, this research investigates the effect of previous states (time lags) of the meteorological input variables on characterizing actual evapotranspiration. The models developed using the EPR, based on the two case studies at the Mildred Lake mine, AB, Canada provided comparable performance to the models of GP and ANNs. Moreover, the EPR provided simpler models than those developed by the other data-driven techniques, particularly in one of the case studies. The inclusion of the previous states of the input variables slightly enhanced the performance of the developed model, which in turn indicates the dynamic nature of the evapotranspiration process

    Nexus assessment for water, food, and energy system and the implication on human development

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    This is the author accepted manuscriptWater, food, and energy are basic needs crucial to human survival but also pervade many aspects of human development. Systemically, they are vastly interdependent. In order to gain insight into the dynamics behaviour of water, food, and energy systems and their interactions to human development, a system dynamics model has been constructed. The model is structurally designed to generate behaviour of the system of interest at a national level and on an annual basis. The model is generic but purposely designed for Indonesia case, and hence it was subjected to behavioural test against national historical data of Indonesia. Test results show that the simulated behaviour of key elements of the model such as population size, income per capita, life expectancy at birth, water demands, crops demands and productions, and energy demands and productions, closely resemble behaviour of the actual data (i.e., pass the set criteria of the behavioural test). Model experiment with two different scenarios shows that our system model is sensitive to change in income per capita and energy demand. As part of future work, we will use the model to assess the implications of a range of policy scenarios on the

    Dynamics of Indonesia’s water system: a modelling approach

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    Water, food, energy nexus investigation for human development

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    This is the author accepted manuscriptWe are investigating the nexus among water, food, and energy systems and their relationship(s) to human development. The aim is to gain a better understanding of the interconnectedness among these sectors and human development in order to assess the potential impacts and implications of a range of policy scenarios on the system. Considering the feedback mechanism between elements in the system, we use system dynamics modelling and simulation technique to represent system structure and capture the dynamics behavior of the system being studied. Our system model comprises five modules, namely water, food, energy, human development, and demographic. The model is purposely built to be implemented in Indonesia on a national scale. The simulation is run on a yearly basis. The model is being built therefore we present only preliminary results here. As part of the future work, once the model is fully constructed, it will be applied to assess the impact of a range of policy scenarios and implications on the water, food, and energy sectors and on human development in Indones
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