scholarly journals Enzymatic extraction of potato starch: A parametric optimization study using response surface methodology

2020 ◽  
Vol 22 (3) ◽  
pp. 48-54
Author(s):  
Madsar Hameed ◽  
Syed W. Ahmad ◽  
Sajjad Ahmad ◽  
Haji G. Qutab ◽  
Muhammad Dasih ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Parametric Optimization ◽  
Potato Starch ◽  
Research Work ◽  
Enzyme Concentration ◽  
Optimization Study ◽  
Central Composite ◽  
Broth Dilution

AbstractOptimized, effective and efficient methodology has been determined in this research work for the recovery of starch from potatoes. Potato starch extraction experimental results have been utilized for the parametric optimization study by using different statistical techniques. In this research work, starch extraction was conducted by employing cellulase enzyme. Response surface methodology (RSM) was put to use to perform statistical analysis to get optimum results. Five-level central composite design (CCD) consisting of three parameters was implemented to investigate the effect of enzyme concentration, contact time and broth dilution. Experiment results revealed that increment in enzyme concentration and contact time enhanced the starch recovery while dilution showed the inverse relation on the recovery of starch. Optimum starch recovery was achieved upto 89% when enzyme concentration (0.5 g/100 g) of potato meal was diluted with 10 mL of water and mixed for 4 h at 45°C.

Enzyme-assisted Extraction for Optimized Recovery of Phenolic Bioactives from Peganum hermala Leaves Using Response Surface Methodology

2018 ◽  
Vol 17 (4) ◽  
pp. 349-354
Author(s):  
Qadir Rahman ◽  
Anwar Farooq ◽  
Amjad Gilani Mazhar ◽  
Nadeem Yaqoob Muhammad ◽  
Ahmad Mukhtar
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Enzyme Concentration ◽  
Coumaric Acid ◽  
Assisted Extraction ◽  
Pre Treatment ◽  
Optimized Conditions ◽  
Enzyme Complexes ◽  
Hydrolysis Of ◽  
Central Composite

This study investigates the effect of enzyme formulations (Zympex-014, Kemzyme dry-plus and Natuzyme) on recovery of phenolics from Peganum hermala (harmal) leaves, under optimized conditions using response surface methodology. As compared to the other enzyme complexes, the yield (34 g/100g) obtained through Zympex-014-assisted extraction was higher under optimized conditions such as time (75 min), temperature (70°C), pH (6.5) and enzyme concentration (5 g/100 g) using central composite design (CCD). Effectiveness of Zympex-014 towards hydrolysis of P. hermala leaves cell wall was examined by analyzing the control and enzyme-treated leave residues using scanning electron microscope (SEM). GC/MS characterization authenticated the presence of quercetin (1.44), gallic acid (0.23), caffeic acid (0.04), cinnamic acid (0.05), m-coumaric acid (0.23) and p-coumaric acid (0.37 μg/g) as the potent phenolics in Zympex-014 based extract. It can be concluded from the findings of the current work that pre-treatment of P. hermala leaves with Zympex-014 significantly enhanced the recovery of phenolics that supports its potential uses in the nutra-pharamaceutical industry.

scholarly journals Parametric optimization of rice bran oil extraction using response surface methodology

2016 ◽  
Vol 18 (3) ◽  
pp. 103-109 ◽  
Author(s):  
Syed W. Ahmad ◽  
Farhan Javed ◽  
Sajjad Ahmad ◽  
Muhammad Akram ◽  
Abdur Rehman
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Rice Bran ◽  
Contact Time ◽  
Parametric Optimization ◽  
Rice Bran Oil ◽  
Optimization Technique ◽  
Oil Extraction ◽  
Experimental Results ◽  
Stirring Rate

Abstract Use of bran oil in various edible and nonedible industries is very common. In this research work, efficient and optimized methodology for the recovery of rice bran oil has been investigated. The present statistical study includes parametric optimization, based on experimental results of rice bran oil extraction. In this study, three solvents, acetone, ethanol and solvent mixture (SM) [acetone: ethanol (1:1 v/v)] were employed in extraction investigations. Response surface methodology (RSM), an optimization technique, was exploited for this purpose. A five level central composite design (CCD) consisting four operating parameter, like temperature, stirring rate, solvent-bran ratio and contact time were examined to optimize rice bran oil extraction. Experimental results showed that oil recovery can be enhanced from 71% to 82% when temperature, solvent-bran ratio, stirring rate and contact time were kept at 55°C, 6:1, 180 rpm and 45 minutes, respectively while fixing the pH of the mixture at 7.1.

scholarly journals Response Surface Methodology for the Optimisation of Electrochemical Biosensors for Heavy Metals Detection

Biosensors ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 26 ◽  
Author(s):  
Giuseppe De Benedetto ◽  
Sabrina Di Masi ◽  
Antonio Pennetta ◽  
Cosimino Malitesta
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Enzyme Concentration ◽  
Experimental Parameters ◽  
Number Of Cycles ◽  
Metal Ions Detection ◽  
First Time ◽  
Central Composite ◽  
Biosensor Response

Herein, we report the application of a chemometric tool for the optimisation of electrochemical biosensor performances. The experimental design was performed based on the responses of an amperometric biosensor developed for metal ions detection using the flow injection analysis. The electrode preparation and the working conditions were selected as experimental parameters, and thus, were modelled by a response surface methodology (RSM). In particular, enzyme concentration, flow rates, and number of cycles were reported as continuous factors, while the sensitivities of the biosensor (S, µA·mM−1) towards metals, such as Bi3+ and Al3+ were collected as responses and optimised by a central composite design (CCD). Bi3+ and Al3+ inhibition on the Pt/PPD/GOx biosensor response is for the first time reported. The optimal enzyme concentration, scan cycles and flow rate were found to be 50 U·mL−1, 30 and, 0.3 mL·min−1, respectively. Descriptive/predictive performances are discussed: the sensitivities of the optimised biosensor agreed with the experimental design prediction. The responses under the optimised conditions were also tested towards Ni2+ and Ag+ ions. The multivariate approach used in this work allowed us to obtain a wide working range for the biosensor, coupled with a high reproducibility of the response (RSD = 0.72%).

Response Surface Modeling of Basic Blue 71 Removal from Aqueous Solution by N,O-Carboxymethyl-Chitosan

2012 ◽  
Vol 550-553 ◽  
pp. 2198-2204
Author(s):  
Zhen Chen ◽  
Qing Chun Chen ◽  
Yan Li
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Dye Removal ◽  
Surface Modeling ◽  
Carboxymethyl Chitosan ◽  
Response Surface Modeling ◽  
Optimum Ph ◽  
Central Composite

Abstract: N,O-carboxymethyl chitosans (N,O-CMC) were synthesized using water as a solvent. The structure of N,O-CMC is characterized by IR and XRD. N,O-CMC was used as adsorbent for the removal of basic blue 71 dye based on response surface methodology (RSM) from aqueous solution. A standard RSM design named central composite design (CCD) was employed for experimental design and analysis of the results. The combined effect of pH, contact time and temperature on the dye removal was studied and optimized using response surface modeling. The optimum pH, temperature and contact time for the process were found to be 8, 10 °C, 140 min, respectively, and the corresponding dye removal was 100%.

scholarly journals Optimization of extraction conditions of flavonoids from Houttuynia cordata Thumb leaves

2021 ◽  
Vol 20 (02) ◽  
pp. 51-61
Author(s):  
Anh T. Vu
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Dry Matter ◽  
Raw Materials ◽  
Enzyme Concentration ◽  
Houttuynia Cordata ◽  
Independent Variables ◽  
Cellulase Enzyme ◽  
Central Composite

This study was conducted to investigate the application of cellulase enzyme in the extraction of flavonoids from Houttuynia cordata Thumb leaves and optimize the extraction conditions. Independent variables, including enzyme concentration (25 - 100 µg/mL), temperature (30 - 50oC), time (30 - 120 min) and ratio of raw materials to enzyme (1:15 - 1:30 g/mL), were investigated. Extraction conditions of flavonoids were designed according to Central Composite Design - Uniform Precision (CCD), a response surface methodology using a software JMP Pro version 13. The results indicated that the optimal extraction conditions were found to be enzyme concentration (78.0 µg/mL), temperature (41oC), time (90 min), and the ratio of material to the enzyme (1:26 g/mL). Under such conditions, the highest content of flavonoids (24.04 ± 0.05 mg/g, dry matter) was obtained and validated. It can be concluded that the flavonoids can be optimally extracted under the optimal extraction conditions with assistance of cellulase.

scholarly journals The Application of Response Surface Methodology for Lead Ion Removal from Aqueous Solution Using Intercalated Tartrate-Mg-Al Layered Double Hydroxides

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Yamin Yasin ◽  
Maszlin Mohamad ◽  
Faujan B. H. Ahmad
Keyword(s):  
Aqueous Solution ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Contact Time ◽  
Lead Ions ◽  
Lead Ion ◽  
Central Composite Rotatable Design ◽  
Solution Ph ◽  
Optimization Parameters ◽  
Central Composite

Layered double hydroxide intercalated with tartrate (tartrate-Mg-Al) was used as an adsorbent to remove lead ions from aqueous solutions. The effects of various optimization parameters such as contact time, solution pH, lead ion concentrations, and adsorbent dosage were investigated by the use of Response Surface Methodology (RSM). The Response Surface Methodology (RSM) based on a four-level four-variable Central Composite Rotatable Design (CCRD) was employed to evaluate the interactive effects of the various optimization parameters. The parameters were contact time (6–10 h), solution pH (1–3), adsorbent dosage (0.06–0.1 g), and lead ion concentrations (10–30 mg/L). The percentage of lead ions removal for each of the parameters studied was determined by Inductively Coupled Plasma-Optical Emission Spectrophotometer. Simultaneously by increasing contact time and amount of dosage of tartrate-Mg-Al used the percentage of lead ions removal from aqueous solution will increase; however, the percentage removal decreases with an increase in pH and concentrations of lead ions. The experimental percentage removal recorded under optimum conditions was compared well with the maximum predicted value from the RSM, which suggest that Central Composite Rotatable Design of RSM can be used to study the removal of lead from aqueous solution by the use of tartrate-Mg-Al as an adsorbent.

Optimization of Enzymatic Skinning of Catfish Nuggets Using Response Surface Methodology

2012 ◽  
Vol 472-475 ◽  
pp. 3094-3103
Author(s):  
Pramuk Parakulsuksatid ◽  
Dja Shin Wang ◽  
Juan L. Silva ◽  
Tae Jo Kim ◽  
Tong Yuan Koo
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Maximum Yield ◽  
Enzyme Concentration ◽  
Process Conditions ◽  
Peritoneal Membrane ◽  
Food Industries ◽  
Central Composite

Abstract. Enzyme utilization today constitutes an important and essential part of processes used by the modern food industries. The objective of this research was to investigate the enzymatic skinning of catfish nuggets optimized by response surface methodology to remove the peritoneal membrane of nuggets. The effect of enzyme concentration, temperature, and time was carried out using central composite design. The response surface methodology found out that the optimized process conditions for good skinning and maximum yield were the following: (a) any enzyme concentration, temperature 42°C, time 12 min; (b) 0.15% enzyme concentration, temperature 35°C and time 12 min. This finding is important for maximize enzyme utilization on manufacture processes used by the catfish industries.

scholarly journals Production of Chitosan Oligosaccharides using β-glycosidic degrading enzyme: Optimization using Response Surface Methodology

2020 ◽  
Vol 5 (2) ◽  
pp. 30-44
Author(s):  
Nurhayati Yusof
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Enzyme Concentration ◽  
Biological Applications ◽  
Physiological Conditions ◽  
The Past ◽  
Chitosan Oligosaccharides ◽  
Optimum Parameters ◽  
Hydrolysis Temperature ◽  
Central Composite

Many researchers have focused chitosan as a source of potential bioactive material during the past few decades. However, chitosan has several drawbacks to be utilised in biological applications, including poor solubility under physiological conditions. Therefore, a new interest has recently emerged on partially hydrolysed chitosan, chitosan oligosaccharides (COS). In this study, degradation of chitosan was performed by Cellulase from Trichoderma reesei® 1.5L and Response Surface Methodology (RSM) were employed to optimize the hydrolysis temperature, pH, enzyme concentration and substrate concentration. Optimization of cellulase T. reesei® using central composite design (CCD) was to obtain optimum parameters and all the factors showed significant effects (p˂0.05). The maximum response, Celluclast® activity (1.268 U) was obtained by assaying the process at 49.79oC, pH 4.5, 3% (v/w) of enzyme concentration and 25% (w/v) concentration of chitosan for 24 hours.

scholarly journals Optimization of photocatalytic degradation of naproxen from aqueous solutions with UV/ZnO process: Response Surface Methodology (RSM)

2020 ◽  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Contact Time ◽  
Operating Conditions ◽  
Quadratic Model ◽  
Order Model ◽  
First Order ◽  
Concentration Time ◽  
Central Composite

<p>The aim of this study was to optimize the removal of Naproxen (NPX) by the UV/ZnO photocatalytic process using response surface methodology based on Central Composite Design (CCD). The effect of parameters such as ZnO concentration, contact time, pH, temperature, and initial NPX concentration were studied. The ANOVA results indicated high coefficient values of adjusted R2 (0.9843) and predicted R2 (0.9695). The quadratic model with the highest R-squared designation was chosen to predict the NPX removal efficiency of the UV/ZnO process. Under optimal conditions that include an optimum initial NPX concentration of 21.59 mg/L, ZnO concentration of 371.15 mg/L, contact time of 73.92 min, pH of 6.87, and temperature of 24.35°C, a NPX removal efficiency value of 71.19% was obtained. The results show that the removal of NPX is most affected by the variables- initial NPX concentration, time, pH, and ZnO concentration, respectively, but temperature as a variable does not have a significant effect on the efficiency of the process. Moreover, the NPX photodegradation kinetics can be explained through the pseudo-first-order model. The UV/ZnO photocatalytic method has high potential for the removal of NPX, and that CCD is an appropriate method to optimize the operating conditions for NPX photodegradation.</p>

Sign in / Sign up

Export Citation Format

Share Document