scholarly journals Effect and Optimization of Process Conditions during Solvolysis and Torrefaction of Pine Sawdust Using the Desirability Function and Genetic Algorithm

ACS Omega ◽  
2021 ◽  
Author(s):  
Ugochukwu M. Ikegwu ◽  
Maxwell Ozonoh ◽  
Nnanna-Jnr M. Okoro ◽  
Michael O. Daramola
Keyword(s):  
Genetic Algorithm ◽  
Desirability Function ◽  
Process Conditions ◽  
Pine Sawdust

scholarly journals Evaluation of Process Conditions for Ultrasonic Spray-Freeze Drying of Transglutaminase

2020 ◽  
Vol 58 (1) ◽  
pp. 38-48
Author(s):  
Hilal Isleroglu ◽  
Izzet Turker
Keyword(s):  
Enzyme Activity ◽  
Flow Rate ◽  
Freeze Drying ◽  
Desirability Function ◽  
Spherical Particles ◽  
Optimum Process ◽  
Process Conditions ◽  
Plate Temperature ◽  
Ultrasonic Spray ◽  
Spray Freeze Drying

In this study, a commercial transglutaminase enzyme was dried using an ultrasonic spray freeze drying method and the effects of the process conditions were optimized to maximize the final transglutaminase activity. Accordingly, process parameters affecting enzyme activity were selected, such as nozzle frequency (48 and 120 kHz), flow rate (2, 5 and 8 mL/min) and plate temperature for secondary drying (25, 35 and 45 °C). Moreover, the effects of different pH values (pH=2.0 and 9.0) and high temperature (80 °C) on enzyme activity, physical properties and particle morphology of transglutaminase were discussed. According to the results, transglutaminase preserved its activity despite ultrasonic spray freeze drying. Sonication enhanced the enzyme activity. Using the desirability function method, the optimum process conditions were determined to be flow rate 3.10 mL/min, plate temperature 45 °C and nozzle frequency 120 kHz. The predicted activity ratio was 1.17, and experimentally obtained ratio was 1.14±0.02. Furthermore, enzyme produced by ultrasonic spray freeze drying had low moisture values (2.92-4.36 %) at 8 h of drying. When the morphological structure of the transglutaminase particles produced by ultrasonic spray freeze drying under the optimum conditions was examined, spherical particles with pores on their surfaces were observed. In addition, flow properties of the transglutaminase powders were considered as fair under most conditions according to the Carr index.

scholarly journals Development of Antioxidant and Nutritious Lentil (Lens culinaris) Flour Using Controlled Optimized Germination as a Bioprocess

Foods ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 2924
Author(s):  
Daniel Rico ◽  
Elena Peñas ◽  
María del Carmen García ◽  
Dilip K. Rai ◽  
Cristina Martínez-Villaluenga ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Ascorbic Acid ◽  
Phenolic Compounds ◽  
Phytic Acid ◽  
Desirability Function ◽  
Effect Of Temperature ◽  
Process Conditions ◽  
Phytic Acid Content ◽  
Rsm Optimization ◽  
Functional Features

Germination is an efficient and natural strategy that allows the modification of the nutritional value and the nutraceutical properties of seeds, enabling one to tailor the process according to its final use. This study aimed at optimization of germination conditions to produce novel lentil flours with improved nutritional and functional features. Response Surface Methodology (RSM) was applied to model the effect of temperature (15–27 °C) and time (1–5 days) on different nutritional and quality parameters of lentil flours including proximate composition, content and profile of fatty acids, content of phytic acid, ascorbic acid and γ-aminobutyric acid (GABA), content and profile of phenolic compounds, antioxidant activity, expected glycemic index (GI) and color during germination. As shown by RSM polynomial models, sprouting promoted the reduction of phytic acid content and enhanced the levels of ascorbic acid, GABA, insoluble phenolic compounds, antioxidant activity and expected GI, and modified the color of the resultant lentil flours. RSM optimization of germination temperature and time using desirability function revealed that the optimal process conditions to maximize the nutritional, bioactive and quality properties of sprouted lentil flours were 21 °C for 3.5 days.

Design of Optimization Parameters with Hybrid Genetic Algorithm Method in Multi-Cavity Injection Molding Process

2012 ◽  
Vol 463-464 ◽  
pp. 587-591 ◽  
Author(s):  
Wen Jong Chen ◽  
Jia Ru Lin
Keyword(s):  
Genetic Algorithm ◽  
Injection Molding ◽  
Hybrid Genetic Algorithm ◽  
Injection Molding Process ◽  
Process Conditions ◽  
Molding Process ◽  
Optimization Parameters ◽  
Genetic Algorithm Method ◽  
Artificial Neural Network Ann ◽  
Cae Simulation

This paper combines an artificial neural network (ANN) with a traditional genetic algorithm (GA) method, called hybrid genetic algorithm (HGA), to analyze the warpage of multi-cavity plastic injection molding parts. Simulation results indicate that the minimum and the maximum warpage of the hybrid genetic algorithm (HGA) method were lower than that of the traditional GA method and CAE simulation. These results reveal that, when HGA is applied to multi-cavity plastic warpage analysis, the optimal process conditions are significantly better than those using the traditional GA method or CAE simulation.

scholarly journals Using the Taguchi-Genetic Algorithm to Improve Lithographic Photoresist Operating Conditions of Touch Panels to Upgrade After-Develop Inspection

2018 ◽  
Vol 8 (12) ◽  
pp. 2382
Author(s):  
Meng-Hua Li ◽  
Shen-Tsu Wang
Keyword(s):  
Genetic Algorithm ◽  
Optimum Parameter ◽  
Operating Conditions ◽  
Control Factor ◽  
Process Conditions ◽  
Negative Photoresist ◽  
Forming Process ◽  
Touch Panel ◽  
Positive Photoresist ◽  
Touch Panels

In order to use touch control products more conveniently, a general objective is to develop lighter and smaller touch panels. A touch panel using the one glass solution (OGS) is an important development. The black matrix (BM) in an OGS touch panel is used as a black frame. The photoresist is divided into a positive photoresist and a negative photoresist. The BM photoresist is negative. After coating, exposure, and development in the BM process, after-develop inspection is implemented to check if the appearance is abnormal. It is quite difficult to rework the negative photoresist process. There is still room for improving the BM photoresist process capability Cpk. Thus, in order to reduce the customer complaint rate and enhance stability, the photolithography process is improved to enhance Cpk. Among the BM black negative photoresist forming process conditions of OGS products, the pre-baking time is the most important process control factor. The method set up herein improves the original Cpk = 0.90. This study employs the fast messy genetic algorithm (fmGA) to select the optimum orthogonal array of the Taguchi method, so as to implement the decision process of optimum parameter design. The Cpk of the optimum parameter is 2.12.

Optimization of an Enzyme Assisted Process for Juice Extraction and Clarification from Litchis (Litchi Chinensis Sonn.)

2007 ◽  
Vol 3 (2) ◽  
Author(s):  
Narendra Singh Shah ◽  
Nirankar Nath
Keyword(s):  
Apparent Viscosity ◽  
Desirability Function ◽  
Hydrolytic Enzymes ◽  
Enzymatic Treatment ◽  
Soluble Solids ◽  
Enzyme Treatment ◽  
Optimum Process ◽  
Process Conditions ◽  
Juice Yield ◽  
Juice Extraction

Litchi pulp was treated with various concentration levels of hydrolytic enzymes viz. pectinase (0-0.133%w/w), cellulase (0-0.266%w/w) and hemicellulase (0-0.20%w/w) for different durations (30-150 min) at 45°C. The effect of enzyme treatment conditions was studied on yield, clarity, apparent viscosity and total soluble solids (TSS) of juice obtained from the pulp. The optimum process conditions were determined by employing a second order central composite rotatable design in combination with response surface methodology. Yield, clarity and TSS of juice were found to increase and apparent viscosity was found to decrease significantly by enzymatic treatment. The optimum conditions for enzymatic treatment of pulp obtained after a 2 sided desirability function with the responses juice yield, clarity and TSS to be maximized and viscosity to be minimized were 0.076% (w/w) pectinase, 0.138% (w/w) cellulase, 0.107% (w/w) hemicellulase and incubation time of 106.5 min. The predicted values for juice yield, clarity, viscosity and TSS under optimized conditions were 77.19%, 93.53%, 1.359mPa s and 19.68°brix which showed a good agreement with the experimental values under same set of conditions.

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