scholarly journals Optimization of Chemical Properties of Cassava Varieties Harvested at Different Times using Response Surface Methodology

2016 ◽  
Author(s):  
AN Agiriga ◽  
MO Iwe
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Chemical Properties ◽  
Cassava Varieties

scholarly journals Optimizing Physiochemical and Sensory Properties of Infrared-Hot Air Roasted Sunflower Kernels Using Response Surface Methodology

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Mahdis Mosayebi ◽  
Mahdi Kashaninejad ◽  
Leila Najafian
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Color Change ◽  
Specific Energy Consumption ◽  
Chemical Properties ◽  
Sensory Properties ◽  
Quadratic Model ◽  
Total Phenolic ◽  
Phenolic Contents ◽  
Hot Air

Roasting sunflower kernels is a key process in production of nuts. In this study, the effect of roasting conditions, including hot air temperature (120–160°C), infrared (IR) power (400–600 W) and roasting time (3–10 min) on energy and specific energy consumption, color parameters (L∗, a∗, b∗, ΔE, BI, SI, WI, and h°), texture, moisture content, chemical properties (pH and total phenolic contents, peroxide value (PV), and sensory properties of sunflower kernel were investigated. In addition, the best models for the responses were obtained, and the proper roasting conditions were determined using response surface methodology (RSM). A quadratic model was proposed for color change (L∗, ΔE, SI, and WI), moisture and total phenol contents, linear relation for a∗, b∗, h°, and 2FI for BI, texture, PV, and pH. Roasting at 425.7 W IR power and 124.3°C for 3.7 min was found to be convenient or proper roasting conditions.

scholarly journals Optimization of Coagulation-Flocculation Process of Landfill Leachate by Tin (IV) Chloride Using Response Surface Methodology

2019 ◽  
Vol 6 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Abdul Aziz Hamidi ◽  
Syed Zainal Sharifah Farah Fariza ◽  
Alazaiza Motasem Y.D
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Landfill Leachate ◽  
Chemical Properties ◽  
Oxygen Demand ◽  
Statistical Design ◽  
Water Infiltration ◽  
Flocculation Process ◽  
Maximum Removal

Landfill leachate is highly polluted and generated as a result of water infiltration through solid waste produced domestically and industrially. This study investigated the applicability of the response surface methodology (RSM) to optimize the removal performances of chemical oxygen demand (COD), color, and suspended solids (SS) from landfill leachate by coagulation process using Tin tetrachloride pentahydrate. The leachate samples were collected from Alor Pongsu Landfill (APLS) in Perak, Malaysia. Before starting the experiments, general characterization was carried out for raw leachate samples to investigate their physical and chemical properties. The effects of the dosage and pH of SnCl4 on the removal performances were evaluated as well. An ideal experimental design was performed based on the central composite design (CCD) by RSM. In addition, this RSM was used to evaluate the effects of process variables and their interaction toward the attainment of their optimum conditions. The statistical design of the experiments and data analysis was resolved using the Design-Expert software. Further, the range of coagulant dosage and pH was selected based on a batch study which was conducted at 13000 mg/L to 17000 mg/L of SnCl4 and pH ranged from 6 to 10. The results showed that the optimum pH and dosage of SnCl4 were 7.17 and 15 g/L, respectively, where the maximum removal efficiency was 67.7% for COD and 100% for color and SS. The results were in agreement with the experimental data with a maximum removal efficiency of 67.84 %, 98.6 %, and 99.3%, for COD, color, and SS, respectively. Overall, this study verified that the RSM method was viable for optimizing the operational condition of the coagulation-flocculation process.

scholarly journals Prediction of Machining Characteristics of Hybrid Composites Using Response Surface Methodology Approach

2018 ◽  
Vol 7 (3.1) ◽  
pp. 162 ◽  
Author(s):  
Ramanan. G ◽  
Rajesh Prabha.N ◽  
Diju Samuel.G ◽  
Jai Aultrin. K. S ◽  
M Ramachandran
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Hybrid Composites ◽  
Removal Rate ◽  
Cutting Speed ◽  
Chemical Properties ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Optimal Parameters ◽  
Rsm Technique

This manuscript presents the influencing parameters of CNC turning conditions to get high removal rate and minimal response of surface roughness in turning of AA7075-TiC-MoS2 composite by response surface method. These composites are particularly suited for applications that require higher strength, dimensional stability and enhanced structural rigidity. Composite materials are engineered materials made from at least two or more constituent materials having different physical or chemical properties. In this work seventeen turning experiments were conducted using response surface methodology. The machining parameters cutting speed, feed rate, and depth of cut are varied with respect to different machining conditions for each run. The optimal parameters were predicted by RSM technique. Turning process is studied by response surface methodology design of experiment. The optimal parameters were predicted by RSM technique. The most influencing process parameter predicted from RSM techniques in cutting speed and depth of cut.   

Simultaneous Removal of Organic and Inorganic Pollutants From Landfill Leachate Using Sea Mango Derived Activated Carbon via Microwave Induced Activation

2016 ◽  
Vol 14 (5) ◽  
pp. 991-1001 ◽  
Author(s):  
Areeb Shehzad ◽  
Mohammed J.K. Bashir ◽  
Sumathi Sethupathi ◽  
Jun-Wei Lim
Keyword(s):  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Landfill Leachate ◽  
Inorganic Compounds ◽  
Chemical Properties ◽  
Koh Activation ◽  
Simultaneous Removal ◽  
Inorganic Pollutants ◽  
Adsorptive Removal

Abstract The present work reveals the preparation and optimization of sea mango based activated carbon (SMAC) by microwave induced KOH activation for the adsorptive removal of organic and inorganic contaminants from the mature anaerobic landfill leachate using response surface methodology (RSM) technique. Chemical oxygen demand (COD) and ammoniacal nitrogen (NH3-N) are the main indicators for organic and inorganic compounds often found in aged landfill leachate. Hence, the treatment of this stabilized landfill leachate is considered to be an essential step prior to its discharge. The leachate sample was collected from Sahom Landfill site in Perak, Malaysia and the initial concentrations of COD and NH3-N were measured as 550 mg/L and 3,330 mg/L, respectively. The feasibility of converting Sea mango to activated carbon process to remove the COD and NH3-N pollutants from landfill leachate was investigated. The preparation conditions such as microwave heating at power range (350–600 W), impregnation of AC with KOH (0.5–3.0) and retention time (6–10 min) were evaluated, analyzed and optimized using response surface methodology (RSM). From the analysis of variance (ANOVA), the optimum conditions for preparation of SMAC was at 560 W of activation power, 8.4 min of activation time and 2.10 of impregnation ratios with higher adsorptive removal of COD (72.50 %), and NH3-N (79.77 %), respectively. The physical and chemical properties of SMAC were evaluated by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and surface area. The findings exemplified the applicability of SMAC as an effective precursor for the simultaneous removal of organic and inorganic pollutants from mature landfill leachate.

scholarly journals Response surface methodology (RSM) and its application for optimization of ammonium ions removal from aqueous solutions by pumice as a natural and low cost adsorbent

2016 ◽  
Vol 42 (2) ◽  
pp. 33-43 ◽  
Author(s):  
Masoud Moradi ◽  
Mehdi Fazlzadehdavil ◽  
Meghdad Pirsaheb ◽  
Yadollah Mansouri ◽  
Touba Khosravi ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Fourier Transforms ◽  
Low Cost ◽  
Chemical Properties ◽  
Ion Concentration ◽  
Ammonium Ion ◽  
Ammonium Ions ◽  
Mixing Rate

Abstract This research was conducted to study the adsorption of ammonium ions onto pumice as a natural and low-cost adsorbent. The physico-chemical properties of the pumice granular were characterized by X-ray diffraction (XRD), Fourier transforms infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). Modeling and optimization of a NH4+ sorption process was accomplished by varying four independent parameters (pumice dosage, initial ammonium ion concentration, mixing rate and contact time) using a central composite design (CCD) under response surface methodology (RSM). The optimum conditions for maximum removal of NH4+ (70.3%) were found to be 100 g, 20 mg/l, 300 rpm and 180 min, for pumice dosage, initial NH4+ ion concentration, mixing rate and contact time. It was found that the NH4+ adsorption on the pumice granular was dependent on adsorbent dosage and initial ammonium ion concentration. NH4+ was increased due to decrease the initial concentration of NH4 and increase the contact time, mixing rate and amount of adsorbent.

scholarly journals Response Surface Methodology Approach for Optimized Biodiesel Production from Waste Chicken Fat Oil

Catalysts ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 633
Author(s):  
Fatima Shafiq ◽  
Muhammad Waseem Mumtaz ◽  
Hamid Mukhtar ◽  
Tooba Touqeer ◽  
Syed Ali Raza ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Aspergillus Terreus ◽  
Maximum Yield ◽  
Chemical Properties ◽  
Biodiesel Production ◽  
Fuel Quality ◽  
Enzymatic Transesterification ◽  
Chicken Fat ◽  
Biodiesel Synthesis

Biodiesel is gaining acceptance as an alternative fuel in a scenario where fossil fuel reserves are being depleted rapidly. Therefore, it is considered as the fuel of the future due to its sustainability, renewable nature and environment friendly attributes. The optimal yield of biodiesel from cheap feed stock oils is a challenge to add cost effectiveness without compromising the fuel quality. In the current experiment, waste chicken fat oil was taken as the feedstock oil to produce biodiesel through the chemical and enzymatic route of transesterification. The process of chemical transesterification was performed using KOH and sodium methoxide, while enzymatic transesterification was done by using free Aspergillus terreus lipase and Aspergillus terreus lipase immobilized on functionalized Fe3O4 nanoparticles (Fe3O4_PDA_Lipase) as biocatalysts. The physico-chemical properties of the understudy feedstock oil were analyzed to check the feasibility as a feedstock for the biodiesel synthesis. The feedstock oil was found suitable for biodiesel production based upon quality assessment. Optimization of various reaction parameters (the temperature and time of reaction, catalyst concentration and methanol-to-oil mole ratio) was performed based on the response surface methodology (RSM). The maximum yield of biodiesel (90.6%) was obtained from waste chicken fat oil by using Fe3O4_PDA_Lipase as an immobilized nano-biocatalyst. Moreover, the above said optimum yield was obtained when transesterification was done using 6% Fe3O4_PDA_Lipase with a methanol-to-oil ratio of 6:1 at 42 °C for 36 h. Biodiesel production was monitored by FTIR spectroscopic analysis, whereas compositional profiling was done by GC–MS. The measured fuel properties—cloud point, pour point, flash point, fire point and kinematic viscosity—met the biodiesel specifications by American Society for Testing and Materials (ASTM).

Response surface methodology directed adsorption of chlorate and chlorite onto MIEX resin and study of chemical properties

2020 ◽  
Vol 6 (9) ◽  
pp. 2454-2464 ◽  
Author(s):  
Yiqiong Yang ◽  
Zenghui Zheng ◽  
Dongfeng Zhang ◽  
Xiaodong Zhang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Adsorption Process ◽  
Chemical Properties ◽  
Time Response ◽  
First Time

For the first time, response surface methodology has been used to optimize the adsorption process of chlorite and chlorate by MIEX.

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