Turmeric, particularly its most active ingredient, curcumin, has a long list of scientifically documented health advantages, including the ability to boost heart health and protect against a variety of diseases. Curcu...
Turmeric, particularly its most active ingredient, curcumin, has a long list of scientifically documented health advantages, including the ability to boost heart health and protect against a variety of diseases. Curcumin is one of the most important active components in turmeric, with a wide range of bioactivity and medicinal uses. Preparing samples from biological components is a time-consuming and difficult operation. This study aims to understand the process of extracting curcumin from turmeric and to analyze the appropriate solvent for curcumin extraction. The method used is Soxhlet extraction with acetone and ethanol as solvents. The analysis of curcumin content was carried out using a UV-Vis spectrophotometer. The results showed that the curcumin extracted with acetone solvent had a higher concentration than the extraction with ethanol. Therefore, extracting curcumin from turmeric using the Soxhlet method, acetone is a superior solvent than ethanol.
Occupational Safety and Health (OSH) is a part of the practical courses in educational institutions. This research was aimed at investigating: (1) students' knowledge of OSH used in practical courses, (2) students...
Occupational Safety and Health (OSH) is a part of the practical courses in educational institutions. This research was aimed at investigating: (1) students' knowledge of OSH used in practical courses, (2) students' attitudes toward OSH, and (3) the implementation of OSH in practical courses in the Electronics engineering Education studyprogram, faculty of engineering, Yogyakarta State University. It is a non-experimental study employing a quantitative descriptive approach. This study was conducted in the Electronics engineering Education studyprogram, faculty of engineering, Yogyakarta State University from February to June 2018. The subject of this study included students, lecturers, and technicians. Students' knowledge of OSH in practical courses in the Electronics studyprogram is good (74.2%). Their attitudes toward OSH are also good (92.2%). Although some students do not implement OSH procedures when conducting practical courses, the implementation of OSH in the studyprogram is categorized good (63.3%). Furthermore, more intensive studies on the importance OSH implementation in practical courses needs to done.
In this presented paper, an effort to improve the accuracy of the bathymetric model derived from optical satellite imagery is discussed. According to the previous study, the accuracy approximately measures in 2 m for ...
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Utilizing natural waste materials to decolorize synthetic and natural dyes offers a promising solution for mitigating environmental pollution. The adsorption isotherms and decolorization kinetics of curcumin onto Pond...
Utilizing natural waste materials to decolorize synthetic and natural dyes offers a promising solution for mitigating environmental pollution. The adsorption isotherms and decolorization kinetics of curcumin onto Pondoh snake fruit seed (PSFS) biochar were predicted using ten isotherm models and the Generalized Fulazzaky (GF) equations, respectively, providing insights into the behavioral characteristics of the adsorption process. Simulations using the Harkin-Jura model demonstrated a good fit, with R ² values exceeding 0.6909 across PSFS biochar granular sizes of 13.65, 25.49, and 65.13 μm, indicating capillary condensation and multilayer adsorption, which validates the GF equations’ applicability. Applying the GF equations to adsorption kinetics simulations showed that declining external mass transfer (EMT) rates were offset by increasing internal mass transfer (IMT) rates. The increase in IMT rates ([ k L a ] d < 0.0 min −1 ) was less pronounced than the decrease in EMT rates ([ k L a ] f > 0.0 min −1 ), suggesting IMT governs curcumin adsorption’s rate-limiting step. PSFS biochar with an average granular size of 25.49 μm proved most effective for decolorizing 100 mg L −1 curcumin, exhibiting a global mass transfer rate range of 0.0020 to 0.0079 min −1 . Utilizing PSFS biochar for curcumin removal contributes to sustainable environmental remediation by advancing green technologies and informing dye effluent management strategies.
Energy in Indonesia is increasing rapidly every year in line with economic involvement, and human growth that is getting more and more energy is not fulfilled every year. Indonesia is among the most energy users becau...
Energy in Indonesia is increasing rapidly every year in line with economic involvement, and human growth that is getting more and more energy is not fulfilled every year. Indonesia is among the most energy users because of its population; this is what drives the government to accelerate the use of renewable energy such as solar. This is related to its use, which can help many people who live in cities and remote areas such as; Electricity in households, public facilities, offices, electricity is said to be the most environmentally friendly. This research was conducted in Central Java by using descriptive qualitative methods and using research and development (R&D) methods. The technique used in this study is a qualitative expressive analysis technique. The resultant solution is to be able to meet the increasing electricity needs of the community, the use of renewable energy in the city that does not hurt the environment. This research produces renewable energy that can be used as a solution to solving the electrical energy crisis at an affordable cost and can increase the independence of the community so that it does not depend on government electricity supply and improve environmentally-friendly behavior.
Wearable sensors are devices used in the diagnostic process for real-time health monitoring systems. Types of sensors are generally based on physical sensors and chemical sensors. However, the types of wearable sensor...
Wearable sensors are devices used in the diagnostic process for real-time health monitoring systems. Types of sensors are generally based on physical sensors and chemical sensors. However, the types of wearable sensors that are largely commercialized are limited to physical sensors. Some diagnostic processes generally use the blood collecting method to determine a patient’s condition. However, this method can cause adverse effects such as infection, pain, and bruising for some patients. chemical-based wearable sensors are capable of detecting metabolic conditions in the body and can be an alternative to the existing method. Based on an approach using alternative analytes, sweat is the most frequently used because it is highly accessible and proceeds good parameters compared to the blood. Several studies related to wearable sensors using sweat have been done to increase convenience during the sampling process. Electrochemical, biosensor, and hybrid with several sampling methods, including microfluidic system, absorbent material, superhydrophobic-super hydrophilic surface, and iontophoresis, can be used for wearable sensor analysis method. Over the past decade, the characteristics of wearable sensors (i.e., selectivity, sensitivity, stability, and response time), textile materials, and biofuel cell technology for self-powered sensor development have also increased. From these classifications, it can be concluded that the method which is highly feasible to be developed is electrochemical wearable sensors that combine microfluidic and iontophoresis systems. The system is also expected to have stretchable material and is equipped with an integrated biofuel cell system that has the potential to be developed in our upcoming research topic.
This study proposes a new method in an electroencephalograph (EEG)-based Brain-Computer Interface (BCI) that can directly utilize brain signals to control external devices. The motor Imagery (MI) signal, which contain...
This study proposes a new method in an electroencephalograph (EEG)-based Brain-Computer Interface (BCI) that can directly utilize brain signals to control external devices. The motor Imagery (MI) signal, which contains an image of a certain limb movement, is generally used in BCI. It does not need direct movements. The implementation of MI-EEG signal into BCI still experiences major issues because the patterns obtained for each recording can vary from one another even though they have the same type of motion. In this study, we utilized the Wavelet Packet Transform (WPT) method to decompose the EEG signal into specific sub-band frequencies and Common Spatial Pattern (CSP) as a spatial filter to increase the spatial resolution of the EEG signal. The Convolutional Neural Network (CNN) was subsequently selected for training from the classifier. Next, the results of the training were used to classify the movements of the given MI-EEG. We evaluated the model using dataset 2a from Brain-Computer Interface Competition (BCIC) IV. The results of this method showed the increase in the accuracy of 32% and in Kappa up to 0.42 and the decrease in Root Mean Square Error (RMSE) up to 1.21, compared with only using CNN as the classifier. These results showed fairly good performance compared to other methods used previously in dataset 2a from BCIC IV.
The purpose of this research was to investigate the tensile strength and impact strength of eleusine indica grass fiber-reinforced polypropylene recycle composite. In this study, the fiber was treated with alkali at 5...
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Parallel compressor gas operation mode is used when the natural gas pressure is still sufficient with one compression stage to reach high pressure; if the gas feed pressure is below the compressor design pressure, it ...
Parallel compressor gas operation mode is used when the natural gas pressure is still sufficient with one compression stage to reach high pressure; if the gas feed pressure is below the compressor design pressure, it is necessary to increase the pressure to two stages. The purpose of this study was to analyze the effect of changing the gas turbine compressor operating mode from parallel to series due to a decrease in gas well pressure. The ability of a compressor to compress gases under its design pressure can be simulated with a simulator. Parallel compressor operation can be simulated as two-stage compression by being connected in series using the ASPEN HYSYS. The simulation results of the compressor suction pressure drop from 318 psig to 200 psig at the compressor unit at the natural gas processing station of PT. Z show the compressor performance curve is still stable and far from the surge line when used in series operation mode. Recalculation of the surface facilities of the separator and scrubber units shows that the fluid retention is still under 5 minutes, the velocity and momentum of the fluid in the vessels are still below the maximum capacity of the equipment, and the required cooling load is still below the available duty coolers. In the piping system, when operating under compressor design pressure, the fluid velocity value is still below the pipe erosion velocity (for two-phase flow), while for single-phase flow it is below 60 ft/s for the gas phase and 15 ft/s for the liquid phase. Based on the simulation carried out and recalculation of the feasibility of surface facilities, changing the compressor operating mode from parallel to series is feasible and can be carried out safely.
Energy balance analysis study for the production process of biodiesel needs to be done to find out whether a production process of biodiesel activity has a surplus energy or minus energy. This study aims to analyse th...
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