A Taguchi approach for optimization of mass transfer coefficient in metronidazole drug delivery process and activated carbon as a carrier

New strategies have been developed in the drug delivery system in recent years for applications like pharmacokinetics control, pharmacodynamics, undetermined toxicity, immunity, biophysics, and drug efficacy. The loading process was based on adsorption between activated carbon molecules' surfaces and drug molecules dissolved in ethanol at room temperature, where porous activated carbon has great drug delivery characteristics. The current research is studying the effect of the number of parameters including particle size, the weight of drug to the carrier, weight ratio, drug loading and temperature, time, and pH solution on mass transfer coefficient. The Taguchi program's result shows that the optimum point of maximum loading efficiency is 74% when the activated carbon in nanoparticle was in 11.042 nm size, and 985.6013 m2/g surface area weight drug to AC weight ratio is 1.5. The drug process release obtained an optimum point that gives a better value of mass transfer coefficient of 0.0007777 and 0.0003372 cm/hr in the first hour, 37°C, and pH of 1.5 solutions for both metronidazole/macro AC and metronidazole/Nano AC complexes.

Analisis Pertumbuhan Fase Superkonduktor BSCCO-2212 dan BPSCCO-2212 Akibat Variasi Suhu Sintering Menggunakan Metode Pencampuran Basah

The research was conducted to determine the effect of sintering temperature on the level of purity of the superconducting phase BSCCO-2212 and BPSCCO-2212 using the wet mixing method. Sintering was carried out for 20 hours with variations in sintering temperature: 825, 830, 835 and 840°C. XRD results showed that the phase purity level increased until it reached the optimum point at 835°C sintering temperature and then decreased at 840°C. The highest volume fraction of the BSCCO-2212 sample was obtained at a sintering temperature of 835°C at 71.09% and the highest degree of orientation was obtained at a sintering temperature of 830°C at 26.44%. In the BPSCCO-2212 sample, the highest volume fraction was obtained at a sintering temperature of 835°C at 52.59% and the highest degree of orientation at a sintering temperature of 830°C at 43.49%. The results of the comparison of BSCCO-2212 and BPSCCO-2212 samples showed that the BPSCCO-2212 sample had a higher level of phase purity than BSCCO-2212.

VARIABLE DETERMINED FOR OPTIMIZATION OF ALTERNATING ENERGY ON THE LOAD BY THE ADAPTIVE TAGUCHI METHOD

It is important to find the optimum point in terms of energy quality in the studies for electrical energy conversions with the converter and inverter circuits. In such studies, it has been tried to find the optimum operating point by using control systems such as PID and Fuzzy Logic in closed-loop controls. When a large number of variables are involved in finding the optimum point, closed-loop control methods such as these may be insufficient to find the optimum point. Therefore, in this study, the Adaptive Taguchi Method (ATM) with the maximum-minimum value is used for the estimation of variables providing the optimum point for energy quality by using it in a multilevel inverter with a double dc-dc converter. While in traditional Taguchi Methods, dependent variables predict the results by revealing their effects on independent variables, in ATM, besides the effects of the independent variables, the effects of different dependent variables on each other are also estimated. First, the system to which the ATM will be applied is introduced. Then, the principles of applying the ATM are explained. In the known Taguchi method, variable values to be found with 34 = 81 trials, variables are estimated with 27 trials, while the values of two different dependent variables in the system can be found with 54 trials instead of 2x34 = 2x81 trials. The resulting values to be estimated with the proposed ATM method are estimated with 27 trials instead of 2x81 or 54 trials. Finally, the observation results to be used for estimation are analyzed and evaluated. By trying the prediction results, it is seen that the proposed system is quite effective because the estimated result value that is %3.71 in the experiments gives a lesser distortion value than the values used for prediction.

Analisis Penentuan Komposisi Optimum Kargo Dan Pax Pesawat Boeing 787 - 8 Dan Airbus 330 – 900 Pada Rute Jakarta – Dubai Menggunakan Optimasi Linear Programming

- The need for airplanes is increasing every day, this is due to the increasing number of passengers and cargo shipments from one area to another. Therefore, airlines need to provide optimal, safe, and efficient cargo and passenger transportation services so that the delivery of goods and passengers can run according to correct procedures. Opportunities in the business of transporting passengers and shipping cargo must be utilized properly by each airline by purchasing planes so that the shipping process from one area to another can quickly arrive at its destination. The purpose of this paper is to find the optimum value of the two aircraft between the Boeing 787-8 and the Airbus 330-900 in terms of the effect on the range, operational costs and to find out which aircraft is more profitable for operating costs on the Jakarta - Dubai route, using linear optimization. programming. Based on the results of the analysis that the optimum point for the calculation of linear programming optimization, the Boeing 787-8 aircraft obtained results (Max payload 41,075 kg, Fuel 6,657 kg, Max Fuel 101,323 kg) where these three results become a limitation for airlines to know the maximum usage of payload and fuel compared Airbus 330-900 aircraft obtained results at the point (Max payload 45,000 kg, Fuel 4,728 kg, Max Fuel 111,272 kg) so that the optimization results are obtained, for Boeing 787-8 aircraft with a max payload of 41,075 kg, max pax 359, max cargo 15,945 kg , compared to Airbus 330-900 with a max payload of 45,000 kg, max pax 460, max cargo 12,800 kg, so it can be concluded that the results of linear programming optimization and the calculation of the operational costs of the Boeing 787-8 aircraft are more optimal with a figure of Rp. 1,541,334,803.96 but in terms of revenue the Airbus 330-900 is bigger than the Boeing 787-8.

RESPONS PERTUMBUHAN DAN HASIL TANAMAN SELEDRI (APIUM GRAVEOLENS L.) TERHADAP MEDIA TANAM DAN KONSENTRASI LARUTAN NUTRISI YANG BERBEDA PADA WICK SYSTEM

This research aims to find out 1) the interaction between the medium of planting and the concentration of nutrient solutions to the growth and yield of celery plants hydroponically. 2) types of planting media that can give different influences on the growth and yield of celery plants, and 3) concentration of nutrient solution that provides the best growth and yield of celery plants in different planting media.The research was conducted from December 2019 to February 2020 at the Integrated Laboratory of the Faculty of Agriculture of Mulawarman University, Samarinda. The research used factorial exsperiment 3×4 on Randomized Completely Block Design (RCBD), replicated three times with each treatment consisting of three plants. The first factor is the planting medium consisting of rockwool, charcoal husk, and combination of charcoal husk + tea amps. The second factor is the concentration of AB Mix nutrient solution consists of 500, 1,000, 1,500, and 2,000 ppm. The data was analyzed with test F and continued Least Significant Difference (LSD) test with a level of 5%. The results showed that there is an interaction between planting media and concentration of nutrient solution in the growth and yield of celery plants. The interaction between the combination of charcoal planting media + tea pulp and concentration of 1,500 ppm is not real with the interaction of rockwool planting media and concentration of 1,500 ppm. From various types of planting media used, charcoal husk planting media provides the best influence on the growth and yield of celery plants. Based on polynomial orthogonal test the concentration of nutrient solution with an optimum point of 1,460.84 ppm affects the growth and yield of celery plants with a maximum dry weight of 2.14 g.

Application of Response Surface Methodology for Preparation of ZnAC2/CAC Adsorbents for Hydrogen Sulfide (H2S) Capture

Hydrogen sulfide (H2S) should be removed in the early stage of biogas purification as it may affect biogas production and cause environmental and catalyst toxicity. The adsorption of H2S gas by using activated carbon as a catalyst has been explored as a possible technology to remove H2S in the biogas industry. In this study, we investigated the optimal catalytic preparation conditions of the H2S adsorbent by using the RSM methodology and the Box–Behnken experimental design. The H2S catalyst was synthesized by impregnating commercial activated carbon (CAC) with zinc acetate (ZnAc2) with the factors and level for the Box–Behnken Design (BBD): molarity of 0.2–1.0 M ZnAc2 solution, soaked temperature of 30–100 °C, and soaked time of 30–180 min. Two responses including the H2S adsorption capacity and the BET surface area were assessed using two-factor interaction (2FI) models. The interactions were examined by using the analysis of variance (ANOVA). Hence, the optimum point of molarity was 0.22 M ZnAc2 solution, the soaked period was 48.82 min, and the soaked temperature was 95.08 °C obtained from the optimum point with the highest H2S adsorption capacity (2.37 mg H2S/g) and the optimum BET surface area (620.55 m2/g). Additionally, the comparison of the optimized and the non-optimized catalytic adsorbents showed an enhancement in the H2S adsorption capacity of up to 33%.

A modified simplex based direct search optimization algorithm for adaptive transversal FIR filters

In this paper, a novel modified optimization algorithm is presented, which combines Nelder-Mead (NM) method with a gradient-based approach. The well-known Nelder Mead optimization technique is widely used but it suffers from convergence issues in higher dimensional complex problems. Unlike the NM, in this proposed technique we have focused on two issues of the NM approach, one is shape of the simplex which is reshaped at each iteration according to the objective function, so we used a fixed shape of the simplex and we regenerate the simplex at each iteration and the second issue is related to reflection and expansion steps of the NM technique in each iteration, NM used fixed value of [Formula: see text], that is, [Formula: see text] = 1 for reflection and [Formula: see text] = 2 for expansion and replace the worst point of the simplex with that new point in each iteration. In this way NM search the optimum point. In proposed algorithm the optimum value of the parameter [Formula: see text] is computed and then centroid of new simplex is originated at this optimum point and regenerate the simplex with this centroid in each iteration that optimum value of [Formula: see text] will ensure the fast convergence of the proposed technique. The proposed algorithm has been applied to the real time implementation of the transversal adaptive filter. The application used to demonstrate the performance of the proposed technique is a well-known convex optimization problem having quadratic cost function, and results show that the proposed technique shows fast convergence than the Nelder-Mead method for lower dimension problems and the proposed technique has also good convergence for higher dimensions, that is, for higher filter taps problem. The proposed technique has also been compared with stochastic techniques like LMS and NLMS (benchmark) techniques. The proposed technique shows good results against LMS. The comparison shows that the modified algorithm guarantees quite acceptable convergence with improved accuracy for higher dimensional identification problems.

Factorial design study of total petroleum contaminated soil treatment using land farming technique

Land farming technique was used to treat hydrocarbon contaminated soil collected from a crude oil spill sites in Edo State, Nigeria. Calibrated standard auger was used to collect soil samples from the site at depth below 30 cm. The samples were characterized and classified. Cow dung and NPK fertilizer were added as additives to complement the nutriments of the soil samples before total petroleum hydrocarbon (TPH) quantification and remediation procedures. Factorial design was applied to vary the input parameters such as pH, mass of substrate, moisture content and turning times of land farming so to ascertain the optimal conditions for the procedure. The result revealed that the in-situ TPH value was 5000 mg kg− 1 on the average and after 90 d of treatment, TPH reduced to 646 mg kg− 1. The turning rate, pH, moisture content and mass of substrate hade 83, 4.36, 0.48 and 0.046% contribution, respectively, for the degradation process using land farming treatment. Numerical optimization techniques applied in the optimum point for land farming input parameters to achieve predicted maximum removal of 99% were evaluated as pH, mass of substrate, moisture content and turning rate to be 6.01, 1 kg, 10% and 5 times in a week, respectively. TPH removed at this optimum point was 98% reducing from 5000 to 636 mg kg− 1. The high coefficient of determination (r2 = 0.9865) as observed in the closeness of predicted and experimental values reflects the reliability of the model and hence, land farming practice with close attention on turning rate as revealed by this study, is recommended for TPH contaminated soil remediation.

Factorial design study of total petroleum contaminated soil treatment using land farming technique

Land farming technique was used to treat hydrocarbon contaminated soil collected from a crude oil spill sites in Edo State, Nigeria. Calibrated standard auger was used to collect soil samples from the site at depth below 30 cm. The samples were characterized and classified. Cow dung and NPK fertilizer were added as additives to complement the nutriments of the soil samples before total petroleum hydrocarbon quantification and remediation procedures. Factorial design was applied to vary the input parameters such as pH, mass of substrate, moisture content and turning times of land farming so to ascertain the optimal conditions for the procedure. The result revealed that the in-situ total petroleum hydrocarbon (TPH) value was 5,000 mg kg -1 on the average and after 90 days of treatment, TPH reduced to 645.907 mg kg -1 . The turning rate, pH, moisture content and mass of substrate had 82.79%, 4.36%, 0.48% and 0.046% contributions respectively to the degradation process using land farming treatment. Numerical optimization techniques applied in the optimum point for land farming input parameters to achieve predicted maximum removal of 98.60% were evaluated as pH, mass of substrate, moisture content and turning rate to be 6.01, 1 kg, 10% and 5 times in a week respectively. TPH removed at this optimum point was 97.83% reducing from 5,000 to 635.907 mg kg -1 . The high coefficient of determination (r 2 = 0.9865) as observed in the closeness of predicted and experimental values reflects the reliability of the model and hence, land farming practice with close attention on turning rate as revealed by this study, is recommended for TPH contaminated soil remediation.