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.

Enhanced Alkali Pretreatment of Narrow Leaves Cattail by Response Surface Methodology

2014 ◽  
Vol 875-877 ◽  
pp. 1637-1641
Author(s):  
Arrisa Sopajarn ◽  
Chayanoot Sangwichien
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Residence Time ◽  
Preliminary Test ◽  
Polynomial Equation ◽  
Alkali Concentration ◽  
Pretreatment Condition ◽  
Order Polynomial ◽  
Optimized Conditions ◽  
Central Composite

The purpose of this work is to develop a pretreatment process of lingo-cellulosic ethanol production from narrow leaves cattail (Typha angustifolia) by using alkali catalysis with the response surface methodology (RSM) as a central composite design (CCD). The first step, LiOH, NaOH, and KOH were used as catalytic alkali for preliminary test. Second, the suitable alkali from first step was selected to optimize of pretreatment condition of three independent variables (alkali concentration, temperature, and residence time) that varies at CCD five codes (-2, -1, 0, 1, 2). Sodium hydroxide (NaOH) is the proper alkali because it could increase cellulose more than KOH and nearby LiOH while it is cheapest. RSM result shows the optimized pretreatment condition based on cellulose increased which obtained from this study that is NaOH 5 % w/v at 100 °C and residence time for 120 min. Beside, this condition was analyzed using an ANOVA with a second order polynomial equation after eliminated non-significant terms. At the optimized conditions, cellulose increased, hemicellulose decreased and weight recovery were achieved 77.81%, 80.59, and 41.65%, respectively. Moreover, the model was reasonable to predict the response of strength with less than 5% error.

scholarly journals Optimasi Selulase pada Enzyme Assisted Extraction Lemak dari Caulerpa Lentillifera Menggunakan Response Surface Methodology

2021 ◽  
Vol 13 (1) ◽  
pp. 19-37
Author(s):  
Ishmah Hanifah
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Assisted Extraction ◽  
Caulerpa Lentillifera ◽  
Rsm Model ◽  
Central Composite ◽  
Enzyme Assisted Extraction

Penelitian dirancang untuk mengetahui kondisi optimum proses enzyme assisted extraction lemak rumput laut hijau segar Caulerpa lentillifera dengan menggunakan enzim selulase. Proses optimasi dilakukan menggunakan Response Surface Methodology (RSM) model Central Composite Design dengan 15 perlakuan. Perlakuan yang didapatkan untuk mengetahui pengaruh variabel bebas diantaranya konsentrasi enzim, suhu hidrolisis, dan waktu hidrolisis terhadap respon yaitu jumlah ekstrak lemak dan aktivitas antioksidan. Dari hasil penelitian didapatkan model 2FI dan Linier berturut-turut untuk respon jumlah lemak dan aktivitas antioksidan. Kondisi optimum yang diperoleh yaitu konsentrasi enzim sebesar 2%, suhu hidrolisis sebesar 30 °C, dan waktu hidrolisis selama 1 jam. Kondisi optimum tersebut kemudian dapat diverifikasi dengan melakukan perlakuan terpilih sebanyak 2 kali ulangan atau lebih hingga mendekati hasil prediksi. Asam lemak yang diperoleh setelah metilasi dan identifikasi dengan GC-MS yaitu asam palmitat dan asam laurat. 

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%).

scholarly journals Enzyme-Catalyzed Production of Potato Galactan-Oligosaccharides and Its Optimization by Response Surface Methodology

Materials ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1465 ◽  
Author(s):  
Mirian Angelene González-Ayón ◽  
Ángel Licea-Claveríe ◽  
José Benigno Valdez-Torres ◽  
Lorenzo A. Picos-Corrales ◽  
Rosabel Vélez-de la Rocha ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Degree Of Polymerization ◽  
Enzyme Substrate ◽  
Low Degree ◽  
Ft Ir ◽  
Cellvibrio Japonicus ◽  
Substrate Ratio ◽  
Optimized Conditions ◽  
Hydrolysis Of

This work shows an optimized enzymatic hydrolysis of high molecular weight potato galactan yielding pectic galactan-oligosaccharides (PGOs), where endo-β-1,4-galactanase (galactanase) from Cellvibrio japonicus and Clostridium thermocellum was used. For this, response surface methodology (RSM) by central composite design (CCD) was applied. The parameters varied were temperature (°C), pH, incubation time (min), and enzyme/substrate ratio (U/mg). The optimized conditions for the production of low degree of polymerization (DP) PGOs were obtained for each enzyme by spectrophotometric assay and confirmed by chromatography. The optimal conditions predicted for the use of C. japonicus galactanase to obtain PGOs of DP = 2 were T = 51.8 °C, pH 5, E/S = 0.508 U/mg, and t = 77.5 min. For DP = 3, they were T = 21 °C, pH 9, E/S = 0.484 U/mg, and t = 12.5 min; and for DP = 4, they were T = 21 °C, pH 5, E/S = 0.462 U/mg, and t = 12.5 min. The efficiency results were 51.3% for substrate hydrolysis. C. thermocellum galactanase had a lower yield (35.7%) and optimized conditions predicted for PGOs of DP = 2 were T = 60 °C, pH 5, E/S = 0.525 U/mg, and time = 148 min; DP = 3 were T = 59.7 °C, pH 5, E/S = 0.506 U/mg, and time = 12.5 min; and DP = 4, were T = 34.5 °C, pH 11, E/S = 0.525 U/mg, and time = 222.5 min. Fourier transformed infrared (FT-IR) and nuclear magnetic resonance (NMR) characterizations of PGOs are presented.

Investigation on Acid Hydrolysis of Inulin: A Response Surface Methodology Approach

2009 ◽  
Vol 5 (3) ◽  
Author(s):  
Ebrahim Eskandari Nasab ◽  
Mehran Habibi-Rezaei ◽  
Afshin Khaki ◽  
Mohammad Balvardi
Keyword(s):  
Response Surface Methodology ◽  
Acid Hydrolysis ◽  
Response Surface ◽  
Reducing Sugars ◽  
Experimental Program ◽  
Central Composite Rotatable Design ◽  
Alkaline Ph ◽  
Inulin Hydrolysis ◽  
Hydrolysis Of ◽  
Central Composite

In this study, the acid hydrolysis of inulin was investigated as a function of three variables: pH, temperature and time. Inulin hydrolysis was detected by measurement of reducing sugars, using Dinitro Salicylic acid (DNS) method. The central composite rotatable design (CCRD) was applied to design an experimental program to model the effects of acidic and alkaline pH on the inulin hydrolysis. Additionally, response surface methodology (RSM) was utilized for data analysis. The statistical analysis of the results confirmed that pH, temperature and time are significant variables at acidic pH, whereas at alkaline pH, these variables are insignificant. The maximum amount of inulin hydrolysis obtained at the pH < 2, temperature > 90°C and the time of 1 hrs.

scholarly journals Optimization of pre-treatment of de-oiled oil seed cake for release of reducing sugars by response surface methodology

Bioethanol ◽  
2016 ◽  
Vol 2 (1) ◽  
Author(s):  
N Sharmada ◽  
Apoorva Punja ◽  
Sonali S Shetty ◽  
Vinayaka B Shet ◽  
Louella Concepta Goveas ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Sodium Hydroxide ◽  
Response Surface ◽  
Sulphuric Acid ◽  
Reducing Sugars ◽  
H2so4 Concentration ◽  
Pre Treatment ◽  
Alkali Hydrolysis ◽  
Optimized Conditions

AbstractPre-treatment is a process that releases simple sugars from complex lignocellulosic biomass by using chemicals like acid and alkali which are one of the simplest and cost effective techniques. In this study, the conditions for sulphuric acid and sodium hydroxide pretreatment of de-oiled oil seed cake (DOSC) were optimized by response surface methodology (RSM). The levels of factors (DOSC concentration, agitation speed, sulphuric acid (H2SO4), sodium hydroxide (NaOH) concentration and reaction time) that affect release of reducing sugars by pre-treatment were obtained by one factor at a time (OFAT) approach of which only H2SO4 concentration, NaOH concentration and reaction time showed significance. The levels of factors were optimized by central composite design. Optimized conditions were found to be 11.65% (v/v) of H2SO4 concentration at 1.28h and, 4 N of NaOH at 3.7 h for acid and alkali hydrolysis respectively. Under optimized conditions, the release of reducing sugars was found to be 0.69 g/L (41.36 mg RRS/ g cellulose) and 0.40 g/L (23.98 mg RRS/ g cellulose) for acid hydrolysis and alkali hydrolysis of DOSC, respectively. Hence, RSM was found to be an efficient technique to optimize the hydrolysis process and ensure maximum release of reducing sugars.

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 Optimization of Enzyme Assisted Extraction of Chondroitin Sulfate from Bohadschia argus by Response Surface Methodology

2021 ◽  
Vol 302 ◽  
pp. 02012
Author(s):  
Thanagorn Ruensodsai ◽  
Elizabeth Jayex Panakkal ◽  
Prawpan Teerapornnarong ◽  
Wawat Rodiahwati ◽  
Malinee Sriariyanun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Chondroitin Sulfate ◽  
Response Surface ◽  
Enzyme Concentration ◽  
Raw Material ◽  
Extraction Temperature ◽  
Natural Concentration ◽  
Assisted Extraction ◽  
High Benefit ◽  
Enzyme Assisted Extraction

Chondroitin sulfate is currently one of the bioactive compounds obtained from different natural materials with high benefit in human medical treatment and pharmaceutical. However, the natural concentration of chondroitin sulfate in high cost raw material is low and this situation makes the commercialization become difficult. This study focused on production of chondroitin sulfate isolated from Bohadschia argus using enzyme-assisted extraction methodology. Optimization experiments were conducted based on Response Surface Methodology (RSM) using Box–Behnken design (BBD). Three important extraction parameters, including enzyme concentration (X1: 0.05-0.5 %), Time (X2: 0.25–3 h), and temperature (X3: 55–65 °C) were varied to obtain maximum chondroitin sulfate yields. The RSM optimized model obtained from statistical analysis presented the high correlation coefficiency (R2) at 0.7508, advocating the significance of the model. The optimum extraction conditions were selected as enzyme concentration of 0.48% with extraction time of 1.01 h. at an extraction temperature of 56.53°C. Under these conditions, the experimental yield of chondroitin sulfate was 415.59 mg/100g dry, which is in good agreement with the value predicted by the model.

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