scholarly journals Ekstraksi Oleoresin Lada Hitam Secara Maserasi Menggunakan Metode Permukaan Respon

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Liya Fitriyana ◽  
Irmayanti Irmayanti ◽  
Putri Meutia Sari ◽  
Virna Muhardina

Purpose of this study is to determine the optimum conditions of extraction using conventional methods (maceration) and ultrasonic methods by using response surface method (RSM). The variables used in this study is the ratio of solvent with black pepper, temperature and time of extraction. Solvents used in this study is 99% ethanol. The bigest yield of oleoresin using maceration method was  4.42% with a ratio of solvent and black pepper for 1: 4 g / ml and extraction time of 4.68 hours. GC-MS test showed that the piperine contained in oleoresin extracted by using maceration are respectively<br />69.92% FT-IR test showed that oleoresin extracted using maceration have the same bound that same as piperine bound. Organoleptic test showed that oleoresin produced by using maceration meet the requirement of ISO standards 06-2388-1998 (dark brown color, pepper smell and thick paste form).<br /><br />

Author(s):  
Amr Ahmed Shaaban ◽  
Omar Mahmoud Shehata

Recently, studies have focused on optimization as a method to reach the finest conditions for metal forming processes. This study tests various optimization techniques to determine the optimum conditions for single point incremental forming (SPIF). SPIF is a die-less forming process that depends on moving a tool along a path designed for a specific feature. As it involves various parameters, optimization based on experimental studies would be costly, hence a finite element model (FE-model) for the SPIF process is developed and validated through experimental results. In the second phase, statistical analyses based on the response surface method (RSM) are conducted. The optimum conditions are determined using the desirability optimization method, in addition to two metaheuristic optimization algorithms, namely genetic algorithm (GA) and particle swarm optimization (PSO). The results of all optimization techniques are compared to each other and a confirmation test using the FE-model is subsequently performed.


2021 ◽  
Vol 8 (1) ◽  
pp. 89-104
Author(s):  
Irnia Nurika ◽  
Faudina Nurin Nisa' ◽  
Nurul Azizah ◽  
Sri Suhartini

Optimization of Vanillin Extraction Conditions from Lignocellulose Degradation of Sugarcane Bagasse using the Response Surface Method (RSM) Sugarcane bagasse is an agricultural waste containing lignocellulose and has the potential to be processed into high-value chemicals such as vanillin. The degradation of sugarcane bagasse lignocellulose can be carried out biologically by the white rot fungus Phanerochaete chrysosporium. This study aims to obtain optimal extraction conditions in the form of ethyl acetate solvent volume and extraction time, using the response surface method (RSM). Two optimized factors were the volume of ethyl acetate (71.72; 80; 100; 120; and 128.28 mL) and the extraction time (35.16; 60; 120; 180; 204.84 minutes). The response variables were the concentration (%) and yield of vanillin (µg g–1). The research on the optimization of the response of vanillin levels and vanillin yield was carried out at 14 days incubation with the highest average total soluble phenol (TSP) value of 0.101 mg g–1. The optimal condition of ethyl acetate volume of 109.730 mL with an extraction time of 137.302 minutes was predicted to produce vanillin levels and yields of 0.0078% and 8.9089 g g–1, respectively, with an accuracy value of 93.4%. Based on the verification results, the optimal vanillin concentration and yield were 0.0077% and 8.9805 g g–1, respectively. Bagas tebu merupakan limbah pertanian yang mengandung lignoselulosa dan berpotensi diolah menjadi bahan kimia bernilai tinggi seperti vanillin. Degradasi lignoselulosa bagas tebu dapat dilakukan secara biologis oleh jamur pelapuk putih Phanerochaete chrysosporium. Penelitian ini bertujuan mendapatkan kondisi ekstraksi optimal berupa volume pelarut etil asetat dan lama waktu ekstraksi, menggunakan response surface method (RSM). Dua faktor yang dioptimasi adalah volume etil asetat (71,72; 80; 100; 120; dan 128,28 mL) dan lama waktu ekstraksi (35,16; 60; 120; 180; 204,84 menit). Variabel respons adalah kadar (%) dan yield vanillin (µg g–1). Penelitian optimasi respons kadar vanillin dan yield vanillin dilakukan pada inkubasi 14 hari dengan nilai total soluble phenol (TSP) rata-rata tertinggi 0,101 mg g–1. Kondisi optimal volume etil asetat 109,730 mL dengan waktu ekstraksi 137,302 menit diprediksi menghasilkan kadar dan yield vanillin sebesar 0,0078% dan 8,9089 µg g–1 dengan nilai ketepatan 93,4%. Berdasar hasil verifikasi, konsentrasi dan yield vanillin yang optimal masing-masing adalah 0,0077% dan 8,9805 µg g–1.


2014 ◽  
Vol 134 (9) ◽  
pp. 1293-1298
Author(s):  
Toshiya Kaihara ◽  
Nobutada Fuji ◽  
Tomomi Nonaka ◽  
Yuma Tomoi

Materials ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 3552 ◽  
Author(s):  
Chun-Yi Zhang ◽  
Jing-Shan Wei ◽  
Ze Wang ◽  
Zhe-Shan Yuan ◽  
Cheng-Wei Fei ◽  
...  

To reveal the effect of high-temperature creep on the blade-tip radial running clearance of aeroengine high-pressure turbines, a distributed collaborative generalized regression extremum neural network is proposed by absorbing the heuristic thoughts of distributed collaborative response surface method and the generalized extremum neural network, in order to improve the reliability analysis of blade-tip clearance with creep behavior in terms of modeling precision and simulation efficiency. In this method, the generalized extremum neural network was used to handle the transients by simplifying the response process as one extremum and to address the strong nonlinearity by means of its nonlinear mapping ability. The distributed collaborative response surface method was applied to handle multi-object multi-discipline analysis, by decomposing one “big” model with hyperparameters and high nonlinearity into a series of “small” sub-models with few parameters and low nonlinearity. Based on the developed method, the blade-tip clearance reliability analysis of an aeroengine high-pressure turbine was performed subject to the creep behaviors of structural materials, by considering the randomness of influencing parameters such as gas temperature, rotational speed, material parameters, convective heat transfer coefficient, and so forth. It was found that the reliability degree of the clearance is 0.9909 when the allowable value is 2.2 mm, and the creep deformation of the clearance presents a normal distribution with a mean of 1.9829 mm and a standard deviation of 0.07539 mm. Based on a comparison of the methods, it is demonstrated that the proposed method requires a computing time of 1.201 s and has a computational accuracy of 99.929% over 104 simulations, which are improvements of 70.5% and 1.23%, respectively, relative to the distributed collaborative response surface method. Meanwhile, the high efficiency and high precision of the presented approach become more obvious with the increasing simulations. The efforts of this study provide a promising approach to improve the dynamic reliability analysis of complex structures.


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