scholarly journals Optimisation of Tray Drier Microalgae Dewatering Techniques Using Response Surface Methodology

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2327 ◽  
Author(s):  
Ruth Anyanwu ◽  
Cristina Rodriguez ◽  
Andy Durrant ◽  
Abdul Olabi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Air Temperature ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Slight Effect ◽  
Air Velocity ◽  
Independent Variables ◽  
Air Supply ◽  
Central Composite

The feasibility of the application of a tray drier in dewatering microalgae was investigated. Response surface methodology (RSM) based on Central Composite Design (CCD) was used to evaluate and optimise the effect of air temperature and air velocity as independent variables on the dewatering efficiency as a response function. The significance of independent variables and their interactions was tested by means of analysis of variance (ANOVA) with a 95% confidence level. Results indicate that the air supply temperature was the main parameter affecting dewatering efficiency, while air velocity had a slight effect on the process. The optimum operating conditions to achieve maximum dewatering were determined: air velocities and temperatures ranged between 4 to 10 m/s and 40 to 56 °C respectively. An optimised dewatering efficiency of 92.83% was achieved at air an velocity of 4 m/s and air temperature of 48 °C. Energy used per 1 kg of dry algae was 0.34 kWh.

scholarly journals Design and Optimization of a Process for Sugarcane Molasses Fermentation bySaccharomyces cerevisiaeUsing Response Surface Methodology

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Nour Sh. El-Gendy ◽  
Hekmat R. Madian ◽  
Salem S. Abu Amr
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Batch Fermentation ◽  
Fermentation Process ◽  
Incubation Temperature ◽  
Operating Conditions ◽  
Quadratic Model ◽  
Optimum Operating ◽  
Sugarcane Molasses ◽  
Bioethanol Production

A statistical model was developed in this study to describe bioethanol production through a batch fermentation process of sugarcane molasses by locally isolatedSaccharomyces cerevisiaeY-39. Response surface methodology RSM based on central composite face centered design CCFD was employed to statistically evaluate and optimize the conditions for maximum bioethanol production and study the significance and interaction of incubation period, initial pH, incubation temperature, and molasses concentration on bioethanol yield. With the use of the developed quadratic model equation, a maximum ethanol production of 255 g/L was obtained in a batch fermentation process at optimum operating conditions of approximately 71 h, pH 5.6, 38°C, molasses concentration 18% wt.%, and 100 rpm.

scholarly journals Fixed bed utilization for the isolation of xylene vapor: Kinetics and optimization using response surface methodology and artificial neural network

2020 ◽  
Vol 26 (2) ◽  
pp. 200105-0
Author(s):  
Kaushal Naresh Gupta ◽  
Rahul Kumar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Operating Parameters ◽  
Bed Height ◽  
Artificial Neural

This paper discusses the isolation of xylene vapor through adsorption using granular activated carbon as an adsorbent. The operating parameters investigated were bed height, inlet xylene concentration and flow rate, their influence on the percentage utilization of the adsorbent bed up to the breakthrough was found out. Mathematical modeling of experimental data was then performed by employing a response surface methodology (RSM) technique to obtain a set of optimum operating conditions to achieve maximum percentage utilization of bed till breakthrough. A fairly high value of R2 (0.993) asserted the proposed polynomial equation’s validity. ANOVA results indicated the model to be highly significant with respect to operating parameters studied. A maximum of 76.1% utilization of adsorbent bed was found out at a bed height of 0.025 m, inlet xylene concentration of 6,200 ppm and a gas flow rate of 25 mL.min-1. Furthermore, the artificial neural network (ANN) was also employed to compute the percentage utilization of the adsorbent bed. A comparison between RSM and ANN divulged the performance of the latter (R2 = 0.99907) to be slightly better. Out of various kinetic models studied, the Yoon-Nelson model established its appropriateness in anticipating the breakthrough curves.

scholarly journals Phytoremediation of Soil Contaminated with Nickel by Lepidium sativum; Optimization by Response Surface methodology

2013 ◽  
Vol 15 (1) ◽  
pp. 69-75 ◽  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Soil Samples ◽  
Lepidium Sativum ◽  
Nickel Concentration ◽  
Optimal Conditions ◽  
Polluted Soils ◽  
Independent Variables ◽  
Central Composite ◽  
Accumulator Plant

Phytoremediation is an alternative to traditional chemical and ways of treating polluted soils. The current study was carried out to investigate the phytoremediation of soil contaminated with nickel (Ni) by Lepidium sativum. Soil samples from 0 to 10 cm depth were collected. Lepidium sativum was transplanted in pots containing 5 kg of the collected soils. Central composite design and response surface methodology were employed in order to illustrate the nature of the response surface in the experimental design and explain the optimal conditions of the independent variables. Different concentrations for Ni (1 to 20 mg kg-1) and times for collecting samples (10 to 40 days) were used. The results showed the amount of Ni removed was ranged from 8.62 mg kg-1 (Ni concentration of 20 mg kg-1 and time for taking samples of 10 days) to 7.066 mg kg-1 (Ni concentration of 10.50 mg kg-1 and time for taking samples of 40days). Additionally, the findings explained that the Lepidium sativum is an effective accumulator plant for phytoremediation of Ni polluted soils. Optimum conditions for nickel concentration and time for taking samples were 19.66 mg kg-1 and 39.28 days, respectively. For the optimum condition, the amount of Ni removed was 10.8095 mg kg-1.

scholarly journals Enzyme-Assisted Mechanical Peeling of Cassava Tubers

Catalysts ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 66
Author(s):  
Ziba Barati ◽  
Sajid Latif ◽  
Sebastian Romuli ◽  
Joachim Müller
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Surface Area ◽  
Incubation Time ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Optimum Conditions ◽  
Peeling Process ◽  
Pre Treatment

In this study, the effect of enzymatic pre-treatment and the size of cassava tubers on mechanical peeling was examined. Cassava tubers were sorted based on their mass as small, medium and large. Viscozyme® L and an abrasive cassava peeling machine was used for the enzymatic pre-treatment and the mechanical peeling, respectively. Response surface methodology (RSM) was used to investigate the effect of the enzyme dose (0.5–1.9 mL g−1), incubation time (1.5–6 h), peeling time (1.5–4.5 min) and size of the tubers (small, medium and large) on the peeling process. Peeled surface area (PSA) and peel loss (PL) were measured as main responses in RSM. Results showed that the PSA and PL were significantly (p < 0.05) influenced by the enzyme dose, incubation time and peeling time. The size of tubers only had a significant impact on the PSA. The optimum operating conditions for different sizes of tubers were found and validated. Under optimum conditions, the PSA of the large tubers (89.52%) was significantly higher than the PSA of the medium and small tubers (p < 0.05). Application of enzymatic pre-treatment can improve the mechanical peeling process especially for larger cassava tubers.

scholarly journals Application of Response Surface Methodology for Optimization of Permeabilization Process of Baker’s Yeast

2014 ◽  
Vol 16 (2) ◽  
pp. 31-35 ◽  
Author(s):  
Ilona Trawczyńska ◽  
Marek Wójcik
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Catalase Activity ◽  
Isopropyl Alcohol ◽  
Treatment Time ◽  
Baker’S Yeast ◽  
Operating Conditions ◽  
Yeast Cells ◽  
Optimum Operating ◽  
Baker's Yeast

Abstract Permeabilization was used for the purpose of transforming the cells of microorganisms into biocatalysts with an enhanced enzyme activity. Baker’s yeast cells were permeabilized with various organic solvents. A high degree of catalase activity was observed upon permeabilization with acetone, chloroform, isopropyl alcohol and ethyl acetate. Response surface methodology was used to model the effect of concentration of isopropyl alcohol, temperature and treatment time on the permeabilization of baker’s yeast cells to maximize the decomposition of H2O2. The optimum operating conditions for permeabilization were observed at 53.7% concentration of isopropyl alcohol, treatment time of 40 min and temperature of 15.6oC. A maximum value of catalase activity was found to be 6.188 U/g wet wt. and was ca. 60 times higher than the catalytic activity of yeast not treated by the permeabilization process.

scholarly journals Arsenic removal by the micellar-enhanced ultrafiltration using response surface methodology

2019 ◽  
Vol 20 (2) ◽  
pp. 574-585 ◽  
Author(s):  
Oznur Begum Gokcek ◽  
Nigmet Uzal
Keyword(s):  
Response Surface Methodology ◽  
Aqueous Solutions ◽  
Response Surface ◽  
Removal Efficiency ◽  
Surfactant Concentration ◽  
Arsenic Removal ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Micellar Enhanced Ultrafiltration ◽  
The Impact

Abstract The present research investigates the removal of arsenic (As) from aqueous solutions using micellar-enhanced ultrafiltration (MEUF) by utilizing two different surfactants: benzethonium chloride and dodecyl pyridinium chloride (BCl and DPCl). The impact of the operating variables and maximum removal efficiency were found under different conditions for BCl and DPCl surfactants. The maximum As rejection efficiency for MEUF with BCl and DPCl surfactants is 92.8% and 84.1%, respectively. In addition to this, a statistics-based experimental design with response surface methodology was used for the purpose of examining the impact of operating conditions, including initial pH, initial As concentration (ppb), and surfactant concentration (BCl, mM) in As-removal from aqueous solutions. In the analysis of the experimental data, a second-order polynomial model that was validated by statistical analysis for the BCl surfactant was used. On the basis of the response model created, the removal of As ions was acquired at optimum operating parameters, including the initial As concentration of 150 ppb, surfactant concentration of 5 mM and pH 10 for the BCl surfactant with 92.8% As-removal efficiency.

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.

Optimization of Crab Flavoring Extraction by Means of Enzyme Processing Aids from Chinese Mitten Crab (Eriocheir sinensis) By-Products Using Response Surface Methodology (RSM)

2013 ◽  
Vol 333-335 ◽  
pp. 1959-1966
Author(s):  
Jue Wang ◽  
Xi Chang Wang ◽  
Yuan Liu
Keyword(s):  
Amino Acids ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Eriocheir Sinensis ◽  
Extraction Yield ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Chinese Mitten Crab ◽  
Mitten Crab ◽  
By Products

In order establish an efficient and environment-friendly process, crab flavoring were extracted from Chinese mitten crab(Eriocheir Sinensis)by-products using a selected enzyme formulation (including ratio of enzyme to material, pH and temperature). To the purpose, the extraction yield (Y) of amino acids was selected as the response variables. The model given through response surface methodology enables us to identify the optimum operating conditions (ratio of enzyme to material 1.7g/100g, pH 6.5 and temperature 65.3°C, respectively), under which it predicts a maximum response of extraction yield of amino acids 34.27μg/mg. Crab flavoring extraction is rich in sweet taste free amino acids by automatic amino acids analyzer. These results, suggests that the use of the flavourzyme treatment could extract crab flavorings out of crab by-products.

scholarly journals Optimization of Microwave Coupled Hot Air Drying for Chinese Yam Using Response Surface Methodology

Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 745 ◽  
Author(s):  
Hanyang Wang ◽  
Dan Liu ◽  
Haiming Yu ◽  
Donghai Wang ◽  
Jun Li
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Power Density ◽  
Air Temperature ◽  
Microwave Power ◽  
Slice Thickness ◽  
Air Velocity ◽  
Hot Air Drying ◽  
Air Drying ◽  
Hot Air

The effect of microwave coupled hot air drying on rehydration ratio (RR) and total sugar content (TSC) of Chinese yam was investigated. Single factor test and response surface methodology were used for process parameter optimization with hot air temperature, hot air velocity, slice thickness, and microwave power density as variables and RR and TSC of dried products as responses. The effect of variables on RR followed the order: slice thickness > hot air temperature > microwave power density > hot air velocity. The effect of variables on TSC followed the order: slice thickness > microwave power density > hot air velocity > hot air temperature. The optimized process parameters were hot air velocity of 2.5 m/s, hot air temperature of 61.7 °C, slice thickness of 8.5 mm, and microwave power density of 5.9 W/g. Under the optimal conditions, the predicted values of RR and TSC were 1.90 g/g and 5.74 g/100 g, respectively, which is very close to corresponding actual values (1.83 g/g and 5.72 g/100 g). The desirability of 0.913 further validated the effectiveness of the model. The findings from this work may apply to other agricultural products.

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