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%).

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.

Optimization of Critical Medium Components for the Expression of Recombinant Human Transferrin in Insect Cells Baculovirus System

2012 ◽  
Author(s):  
Clarence M. Ongkudon ◽  
Badarulhisam Abdul Rahman ◽  
Azila Abd. Aziz
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Central Composite Design ◽  
Response Surface ◽  
Insect Cells ◽  
Expression System ◽  
Proliferating Cells ◽  
Human Transferrin ◽  
Lipid Mixtures ◽  
Central Composite

Transferin manusia (hTf) memainkan peranan yang penting dalam fungsi bakteriostatik dan pengangkutan ferum dari bahagian penyimpanan ke sel–sel yang membiak melalui proses endositosis janaan reseptor. Sistem ekspresi bakulovirus sel serangga telah dipakai secara meluas sebagai sistem alternatif dalam penghasilan Transferin manusia rekombinan (rhTf). Kajian ini ditumpukan ke atas pengoptimuman glutamina, glukosa dan campuran lipid 1000x yang dapat meningkatkan penghasilan rhTf. Reka bentuk eksperimen yang melibatkan 17 eksperimen reka bentuk komposit berpusat (CCD) telah digunakan dan hasil kajian dianalisis oleh Statistika (Statsoft v. 5.0). Metodologi permukaan tindak balas (RSM) telah mengenalpasti nilai optimum parameterparameter yang dikaji iaitu glutamina=2211.20 mg/L, glukosa=1291.95 mg/L, dan campuran lipid 1000x=0.64 %v/v. Hasil optimasi menunjukkan peningkatan hasil rhTf sebanyak tiga kali ganda, iaitu daripada 19.89 μg/ml kepada 65.12 μg/ml. Kata kunci: Transferin manusia; bakulovirus sel serangga; reka bentuk eksperimen; reka bentuk komposit berpusat; metodologi permukaan tindak balas Human Transferrin (hTf) plays a big role in providing bacteriostatic functions as well as to transport iron from the storage part to all proliferating cells by receptor mediated endocytosis. Insect cells baculovirus expression system has been widely used as an alternative expression system for the production of recombinant human Transferrin (rhTf). This work focused mainly on the optimization of glutamine, glucose and lipid mixtures 1000x to increase rhTf yield. An experimental design involving 17 central composite design (CCD) experiments was employed and results were analyzed by Statistica (Statsoft v. 5.0). The response surface methodology (RSM) had identified the optimum values where glutamine=2211.20 mg/L, glucose=1291.95 mg/L, and lipid mixtures 1000x=0.64 %v/v. Using the optimized parameters, the studies demonstrated an increase in the rhTf yield by three–fold from 19.89 μg/ml to 65.12 μg/ml. Key words: Human transferrin; insect cells baculovirus; experimental design; central composite design; response surface methodology

Experimental Design in Analytical Chemistry—Part I: Theory

2014 ◽  
Vol 97 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Heshmatollah Ebrahimi-Najafabadi ◽  
Riccardo Leardi ◽  
Mehdi Jalali-Heravi
Keyword(s):  
Analytical Chemistry ◽  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Fractional Factorial ◽  
Factorial Designs ◽  
Fractional Factorial Designs ◽  
Central Composite

Abstract This paper reviews the main concepts of experimental design applicable to the optimization of analytical chemistry techniques. The critical steps and tools for screening, including Plackett-Burman, factorial and fractional factorial designs, and response surface methodology such as central composite, Box-Behnken, and Doehlert designs, are discussed. Some useful routines are also presented for performing the procedures.

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 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.

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 OPTIMASI FERMENTASI BAGAS TEBU OLEH Zymomonas mobilis CP4 (NRRL B-14023) UNTUK PRODUKSI BIOETANOL (Optimization of Sugarcane Bagasse Fermentation by Zymomonas mobilis CP4 (NRRL B-14023) for Bioethanol Production)

2014 ◽  
Vol 34 (03) ◽  
pp. 247 ◽  
Author(s):  
Atmiral Ernes ◽  
Lia Ratnawati ◽  
Agustin Krisna Wardani ◽  
Joni Kusnadi
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Sugarcane Bagasse ◽  
Zymomonas Mobilis ◽  
Urea Concentration ◽  
Fermentation Time ◽  
Inoculum Concentration ◽  
Central Composite Experimental Design ◽  
Central Composite

Second generation bioethanol can be produced from fermentation of natural renewable materials, such as agricultural crops, as well as from industrial and domestic waste. The present study was aimed to optimize the fermentation process (inoculum concentration, urea concentration, and fermentation time) for ethanol production from sugarcane bagasse byZymomonas mobilis CP4 using response surface methodology (RSM) central composite experimental design (CCD). The RSM model predicted the optimum value of ethanol content was 1.257% (v/v) at inoculum concentration 15% (v/v), urea concentration 0.3% (w/v), and fermentation time 45 h. Based on the experiment, the ethanol concentrationwas 1.213% (v/v), which was in close agreement with the predicted value. Ethanol yield of this experiment was 0.479 with fermentation effi ciency of 93.9%. The results presented here proved a signifi cant contribution of Z. mobilis CP4 to the production of bioethanol from sugarcane bagasse.Keywords: Bioethanol, sugarcane bagasse, Zymomonas mobilis CP4, fermentation optimization ABSTRAKBioetanol generasi kedua dapat diproduksi dari fermentasi bahan terbarukan, seperti produk hasil pertanian, dan limbah atau hasil samping pengolahan industri dan rumah tangga. Tujuan penelitian ini adalah optimasi parameter fermentasi yang meliputi konsentrasi inokulum, konsentrasi urea, dan lama fermentasi untuk produksi etanol dari bagas tebu oleh Zymomonas mobilis CP4 dengan menggunakan response surface methodology (RSM) central composite experimental design (CCD). Kondisi respon yang optimal berdasarkan prediksi model diperoleh pada konsentrasi inokulum 15% (v/v), konsentrasi urea 0,3% (b/v), dan lama fermentasi 45 jam, dengan prediksi respon kadar etanol sebesar 1,257%(v/v). Berdasarkan hasil penelitian, kadar etanol optimal diperoleh sebesar 1,213% (v/v), yang menunjukkan hasil yang tidak berbeda jauh dengan prediksi model. Yield etanol yang diperoleh sebesar 0,479 dengan efi siensi fermentasi 93,9%. Hasil penelitian ini membuktikan bahwa strain bakteri Zymomonas mobilis CP4 memiliki potensi yang cukup menjanjikan sebagai mikroba penghasil etanol.Kata kunci: Bioetanol, bagas tebu, Zymomonas mobilis CP4, optimasi fermentasi

Response Surface Methodology towards Optimization of Calotropis Procera Essential oil Extraction by using Supercritical CO2.

2019 ◽  
Vol 09 ◽  
Author(s):  
Hossein Zaeri ◽  
Bahareh Kamyab Moghadas ◽  
Bijan Honarvar ◽  
Ali Shokuhi Rad
Keyword(s):  
Response Surface Methodology ◽  
Essential Oil ◽  
Response Surface ◽  
Extraction Time ◽  
Calotropis Procera ◽  
Retrieval Rate ◽  
The Family ◽  
Effects Of Temperature ◽  
Carbon Dioxide Co2 ◽  
Central Composite

: In this research, the extraction of essential oil from Calotropis Procera with the family name of Asclepiadaceae, by supercritical carbon dioxide (CO2) solvent has been investigated in detail, and the yield and chemical profile of the extracts achieved by this method were compared with those resulted by the conventional Hydro distillation method. To optimize the process parameters of CO2 supercritical extraction (SCE) of the Calotropis Procera, the Response Surface Methodology (RSM) with central composite design (CCD) was employed. The effects of temperature, pressure, and extraction time on the oil yield are considered for investigation. Results showed that the data were sufficiently fitted into the second-order polynomial model. The extraction conditions, including pressure, temperature, and extraction time, were studied between 150-200 bar, 40-50 ºC, and 50-100 min, respectively. The optimal conditions are achieved as the temperature of 47.19ºC, the pressure of 172.2 bar, and time of 86 minutes with the retrieval rate of 31.39%.

scholarly journals Modeling and Sensitivity Analysis of the Forward Osmosis Process to Predict Membrane Flux Using a Novel Combination of Neural Network and Response Surface Methodology Techniques

Membranes ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 70
Author(s):  
Jasir Jawad ◽  
Alaa H. Hawari ◽  
Syed Javaid Zaidi
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Forward Osmosis ◽  
Feed Solution ◽  
Operating Conditions ◽  
Ann Model ◽  
Membrane Flux ◽  
Input Variables ◽  
Rsm Model

The forward osmosis (FO) process is an emerging technology that has been considered as an alternative to desalination due to its low energy consumption and less severe reversible fouling. Artificial neural networks (ANNs) and response surface methodology (RSM) have become popular for the modeling and optimization of membrane processes. RSM requires the data on a specific experimental design whereas ANN does not. In this work, a combined ANN-RSM approach is presented to predict and optimize the membrane flux for the FO process. The ANN model, developed based on an experimental study, is used to predict the membrane flux for the experimental design in order to create the RSM model for optimization. A Box–Behnken design (BBD) is used to develop a response surface design where the ANN model evaluates the responses. The input variables were osmotic pressure difference, feed solution (FS) velocity, draw solution (DS) velocity, FS temperature, and DS temperature. The R2 obtained for the developed ANN and RSM model are 0.98036 and 0.9408, respectively. The weights of the ANN model and the response surface plots were used to optimize and study the influence of the operating conditions on the membrane flux.

Sign in / Sign up

Export Citation Format

Share Document