scholarly journals Multiple Response Optimization of High Temperature, Low Time Aqueous Extraction Process of Phenolic Compounds from Grape Byproducts

2014 ◽  
Vol 05 (04) ◽  
pp. 351-360 ◽  
Author(s):  
Hiba N. Rajha ◽  
Nicolas Louka ◽  
Nada El Darra ◽  
Zeina Hobaika ◽  
Nadia Boussetta ◽  
...  
Keyword(s):  
High Temperature ◽  
Phenolic Compounds ◽  
Extraction Process ◽  
Aqueous Extraction ◽  
Multiple Response ◽  
Multiple Response Optimization ◽  
Response Optimization ◽  
Aqueous Extraction Process

scholarly journals Aqueous Enzymatic Extraction of Buriti (Mauritia Flexuosa) Oil: Yield and Antioxidant Compounds

2019 ◽  
Vol 11 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Jezica P.P. Silva ◽  
Antonio M.C. Rodrigues ◽  
Luiza H.M. Silva
Keyword(s):  
Phenolic Compounds ◽  
Antioxidant Capacity ◽  
Extraction Process ◽  
Aqueous Extraction ◽  
Carotenoid Content ◽  
Total Phenolic ◽  
Antioxidant Compounds ◽  
Total Phenolic Compounds ◽  
Buriti Oil ◽  
Aqueous Extraction Process

Introduction: Enzyme-assisted aqueous extraction is considered an emerging green technique that has been applied to different oilseeds. Objective: This study aimed to study the enzymatic aqueous extraction process of buriti oil using a central composite rotatable design (CCRD) combined with the response surface methodology aiming to obtain higher yield and antioxidant compounds in the oil. Methods: The study was carried out in two steps. The first assessed the efficiency of different enzymes (cellulase, pectinase, and protease) and the variables of greater influence in the extraction process, being conducted for each enzyme a CCRD design. The second step was carried out with the enzyme that showed the best performance on the extraction yield, changing the experimental bands of the variables that had greater significance in the first step, with the goal of broadening the spectrum of study. Were also evaluated in this step, total carotenoids, total phenolic compounds, and the antioxidant capacity of the oils extracted. Results: In the first experiment, cellulase gave the highest yield, while the most significant variables were temperature and time. For the second design, performed with cellulase, were defined as optimal operating conditions at 55 °C temperature, 2% enzyme concentration and 6 hours extraction. For these conditions, the yield obtained was 76.5%, with total carotenoid concentration of 3,119.5 µg β-carotene.g-1. Analysis of variance was performed and showed the significance of the regression and non-significance of the lack-of-fit (p<0.05). The coefficients of determination of the yield and carotenoid content were 95.6% and 94.5%, respectively. The highest value of total phenolic compounds determined for buriti oil in this study was 254 ± 5 µg GAE.g-1 oil, while for the antioxidant capacity was 218.0 ± 0.3 µmol Trolox.g-1 oil. Conclusion: The enzymatic aqueous extraction process is viable for buriti oil and produced oils with high concentrations of antioxidant compounds.

A Combinational Approach for Experts of Committee Machine in Wire Bonding Problem Solving

2013 ◽  
Vol 465-466 ◽  
pp. 751-755
Author(s):  
Seyed Jafar Golestaneh ◽  
Ismail Napsiah ◽  
Mohd Khairol Anuar Bin Mohd Ariffin ◽  
Say Hong Tang ◽  
Hassan Moslemi Naeini ◽  
...  
Keyword(s):  
Problem Solving ◽  
Experiment Design ◽  
Wire Bonding ◽  
Multiple Response ◽  
Committee Machine ◽  
Initial Approach ◽  
Multiple Response Optimization ◽  
Response Optimization ◽  
Modelling And Optimization ◽  
Three Phases

There are three phases to solve multiple response optimization (MRO) problems. They are experiment design, modelling and optimization. Different committee machines (CMs) are applied for modeling of MRO problem. Two kinds of CM introduced by current authors in recent works. Initial approach includs utilization of all experts in CM and finally sequentilal combinational model (SCM) is created. Current study proposes a combinational approach to filter and select the best experts to create CM which yields optimum combinational model (OCM). Also , there was another modeling with name point approach model (PAM). This study investigated two different features of different SCMs, PAM and OCM in a famous MRO problem with name wire-bonding. This problem was defined in 1997 and then, several researchers solved it in next years. The results show PAM has minimum RMSE but its global desirability is low. Also overall RMSE has a slightly fall from SCMs to OCM , whereas, there is gently rise in global desirability from SCMs to OCM and consequently proposed approach or OCM provides superior results.

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