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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Rainwater is recommended as a clean water supply through several water treatment methods. Based on preliminary data test results, several parameters exceed the sanitary hygiene water standard. This research aimed to i...
Rainwater is recommended as a clean water supply through several water treatment methods. Based on preliminary data test results, several parameters exceed the sanitary hygiene water standard. This research aimed to improve the quality of rainwater runoff using the multimedia filter, which combined filtering and physical adsorption process. The combination of silica sand, activated carbon, and zeolite media was simulated into a pilot-scale of 1:2 reactor. Based on the first experimental results, the use of proposed media has a significant effect (p-value≅0) on several parameters. The best improvement in effluent quality reaches 100% in nitrites removal, 29% in nitrates removal, and 94.4% in total coliform removal. However, the media thickness variation factor has an insignificant effect (p-value 0.616) to effluent quality. Based on the second experiment results, hydraulic loading rate (HLR) variation shown a significant effect (p-value 0.01) on several parameters. Effluent quality improvement reaches 71.4% in nitrites removal, 100% in nitrates removal, and 91.9% in total coliform removal. However, variation in HLR gave an insignificant effect (p-value 0.769) on improving effluent quality.
Automatic assembly line of 4W manual transmission sub output for producing output shaft has either station which must be maintained the result quality. It is station OP 10 that is need quality assurance mechanism for ...
Automatic assembly line of 4W manual transmission sub output for producing output shaft has either station which must be maintained the result quality. It is station OP 10 that is need quality assurance mechanism for checking circlip installation result because of very precise assembly process needs especially circlip thickness and shaft gap which have transition fit with firm tolerance. Hence, the probability for improper circlip installation process result may occur. Based on the problem, a pokayoke sensor mechanism as quality assurance for checking circlip installation result is designed. It must comply the space limitation in assembly line such that is designed by multi DOF thus it can adapt to the limitation. The objectives in this design project are to design pokayoke sensor mechanism and to develop the mechanism using multi DOF motion so it fulfils the requirement. Design method of the project consists of determination pokayoke mechanism, setting up control system and sensor, and pokayoke sensor performance test. The pokayoke has 6 spatial DOFs which makes checking precisely in limitation space. Furthermore, the pokayoke is integrated by PLC which input signals will produce quality of circlip installation result as output signal. It utilizes photoelectric sensor to detect light intensity which emits through gap between emitter and receiver. This signal will be used to determine whether the installation result is OK or NG. Then, pokayoke is able to detect the quality of three dummy circlips in the performance test accurately which refers to actual probability of circlip installation onto output shaft. It shows that the pokayoke is satisfied to be applied in assembly line.
This research aims to: 1) know the formulation of pomade making from aromatic pandan wangi leaf essential oil, 2) know the characteristics of pomade from the essential oil of pandan wangi leaves, and 3) know the quali...
This research aims to: 1) know the formulation of pomade making from aromatic pandan wangi leaf essential oil, 2) know the characteristics of pomade from the essential oil of pandan wangi leaves, and 3) know the quality of pomade from the essential oil of fragrant pandan leaves, and 4) the anti-fungal activity of pomade from the essential oil of pandan wangi leaves. Research methods used by research and development (R&d) models. Formulation of pomade manufacture of pandan wangi leaf essential oil is carried out based on the results of research that produces a stable formula that is pomade with the appropriate quality SNI with the base of pomade type oil based and not petrol based with a concentration of 34% of the total weight of pomade. Pomade formula is added to the essential oil of pandan wangi leaves with different concentrations of 2.5% (formula 1), 5% (formula 2) and 7.5% (formula 3). The characteristics and quality of pomade are known from organoleptic and hedonic tests that 47% of respondents strongly agree with pomade has the aroma of essential oil of pandan wangi leaves, 52% of respondents strongly agree with the color of pomade in dark green, 45% of respondents strongly agree with the texture of pomade very smooth without any granules, the respondent's response after pomade is on a smooth impression as much as 90.56% and the impression is moist as much as 90.00%. Formula 1 to formula 3 provide homogeneous results. Formulas 1 through 3 have a pH balance with pH range of hair and oil on the scalp which is 5.5 between pH 4.5 -5.5. The largest antifungal activity is in formula 3 (essential oil content 7.5%) with an inhibithor zone diameter of 37 mm. This indicates that the greater the concentration of pandan wangi leaf essential oil, the stronger the antifungal activity against niger's Aspergillus.
Stormwater runoff can be utilized as a clean water supply through a simple treatment technology such as a bioretention system. However, this water treatment efficiency is influenced by various factors. Previous resear...
Stormwater runoff can be utilized as a clean water supply through a simple treatment technology such as a bioretention system. However, this water treatment efficiency is influenced by various factors. Previous research showed that although the bioretention system had combined with a plant and media composition, effluent concentration still exceeds the quality standard. This research aimed to improve the bioretention efficiency in removing heavy metal Pb and Zn in stormwater runoff. Three variations of bioretention were prepared, with the same combination of 2 types of plants (Chrysopogon zizanioides and Iris pseudacorus) and media composition (zeolite: quartz: compost: soil = 6:2:1:1). The zeolite activation temperatures and grain sizes simulated with three discharges variation of initial Pb and Zn concentration of synthetic stormwater runoff. The results showed that modified bioretention produced higher Pb removal efficiency (99.95% on average) and Zn (98.89% on average). Besides, the effluent concentrations have met the water quality standard following Government regulation No. 82/2001. In conclusion, the higher temperature of activated zeolite combined with smaller grain size significantly enhance the removal efficiency of Pb and Zn in stormwater runoff.
Activated carbon utilization in a different application requires a specific characteristic. Textural characteristics such as pore volume (V P ), surface area (S A ), pore diameter (D P ) and pore size distribution (PS...
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Activated carbon utilization in a different application requires a specific characteristic. Textural characteristics such as pore volume (V P ), surface area (S A ), pore diameter (D P ) and pore size distribution (PSDs) have an important effect on the quality and utility of activated carbon. Such characteristics are attributed to the activated carbon adsorption capacity. This research is concerned to investigate the textural properties of activated carbons derived from tabah bamboo ( Gigantochloa nigrociliata ) which are chemically activated using H 3 PO 4 activating agent. Carbonization was carried out up to 800 O C for 1.5 hours. Activations were set up to 820 O C for each 50, 100 and 150 minutes. The activated carbons produced are expressed as AC-50min, AC-100min, and AC-150min each for activation during 50, 100, and 150 minutes. The results of the research show that the higher activation time produced activated carbons with higher pore volume and wider average pore diameter but no pattern was observed on the surface area. The highest surface area of 398.400 m 2 /g and the highest pore volume of 0.680 cc/g were achieved by AC-100min and AC-150min activated carbons, respectively. The highest N 2 adsorption capacity of 48.743 cc/g was achieved on the activated carbon of AC-150min. AC-50min, AC-100min, and AC-150min have average pore diameters, respectively, around of 1.258 nm, 1.750 nm, and 3.950 nm. AC-50min and AC-100min produced pores with a monomodal pore size distribution and a bimodal pore size distribution was found on AC-150min
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