Optimisation of ultrasound-assisted enzymatic extraction conditions of umami compounds from fish by-products using the combination of fractional factorial design and central composite design

2021 ◽  
Vol 334 ◽  
pp. 127498
Author(s):  
Fabrice Bruno Siewe ◽  
Tanaji G. Kudre ◽  
Bhaskar Narayan
Keyword(s):  
Central Composite Design ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Enzymatic Extraction ◽  
Ultrasound Assisted ◽  
Central Composite ◽  
By Products

Optimization of extracellular fungal peroxidase production by 2 Coprinus species

2004 ◽  
Vol 50 (12) ◽  
pp. 1033-1040 ◽  
Author(s):  
Keisuke Ikehata ◽  
Michael A Pickard ◽  
Ian D Buchanan ◽  
Daniel W Smith
Keyword(s):  
Central Composite Design ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Culture Conditions ◽  
Production Optimization ◽  
Fractional Factorial ◽  
Coprinus Cinereus ◽  
Screening Study ◽  
Design Production ◽  
Central Composite

Optimum culture conditions for the batch production of extracellular peroxidase by Coprinus cinereus UAMH 4103 and Coprinus sp. UAMH 10067 were explored using 2 statistical experimental designs, including 2-level, 7-factor fractional factorial design and 2-factor central composite design. Of the 7 factors examined in the screening study, the concentrations of carbon (glucose) and nitrogen (peptone or casitone) sources showed significant effects on the peroxidase production by Coprinus sp. UAMH 10067. The optimum glucose and peptone concentrations were determined as 2.7% and 0.8% for Coprinus sp. UAMH 10067, and 2.9% and 1.4% for C. cinereus UAMH 4103, respectively. Under the optimized culture condition the maximum peroxidase activity achieved in this study was 34.5 U·mL–1 for Coprinus sp. UAMH 10067 and 68.0 U·mL–1 for C. cinereus UAMH 4103, more than 2-fold higher than the results of previous studies.Key words: Coprinus peroxidase, central composite design, fractional factorial design, production optimization, response surface.

Riveting parameter design that satisfies requirements for driven rivet head dimensions

2014 ◽  
Vol 229 (13) ◽  
pp. 2412-2432 ◽  
Author(s):  
SF Wang ◽  
JH Zhang ◽  
ZG Liu ◽  
XW Zhang ◽  
J Hong ◽  
...  
Keyword(s):  
Central Composite Design ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Initial Crack ◽  
Fractional Factorial ◽  
Feasible Region ◽  
Quality Requirements ◽  
Steepest Ascent ◽  
The Impact ◽  
Central Composite

Riveted joints are extensively adopted in designing aircraft structures. Riveting implies a squeezing process of the rivet with large plastic deformations to form the driven rivet head. The driven rivet head dimensions (height H, diameter D) depend on riveting force ( X1), rivet length and diameter tolerance ( X2 and X3), as well as rivet hole tolerance ( X4). Incorrect selection in these parameters could induce the excessive stress concentration that results in initial crack and also results in improper rivet head deformation leading to loose rivet. The present research is conducted on a MS2047AD6-6 rivet and 2.286 mm thick aluminum alloy sheets and mainly focuses on the design of riveting parameters X1, X2, X3, and X4 using the proposed three-step statistical experiment designs including fractional factorial design, steepest ascent design, and central composite design while satisfying the quality requirements for driven rivet head dimensions ( H, D) mentioned in Standard Aircraft Handbook. Fractional factorial design is used to evaluate the impact of riveting parameters X1, X2, X3, and X4 on H and D. Based on the effective ranges of the significant riveting parameters obtained from steepest ascent design, a five-level central composite design is proposed to derive the statistical relations between H, D and the significant riveting parameters, and the statistical models are used to find the feasible region resulting from the combination of the significant riveting parameters while satisfying the quality requirements for H and D. Finally, the feasible ranges of X1, X2, X3, and X4, namely [16,470 N 22,730 N], [−0.1491 mm 0.3891 mm], [−0.0466 mm 0.1216 mm], and [−0.0375 mm 0.2125 mm], are determined from the perspective of adjustable accuracy of X1 and that of the manufacturability for X2, X3, and X4. It implies that any combination of X1, X2, X3, and X4 that falls within this feasible region can result in a good quality riveted joins, namely that the quality requirements for the driven riveting head dimension ( H, D) can be satisfied.

OPTIMIZATION TECHNIQUES IN DESIGNING PHARMACEUTICAL FORMULATIONS

2021 ◽  
pp. 38-40
Author(s):  
Pusukuri Navya ◽  
Priyarini k ◽  
Tejaswi k ◽  
Prasanthi D
Keyword(s):  
Factorial Design ◽  
Optimization Design ◽  
Fractional Factorial Design ◽  
Pharmaceutical Formulations ◽  
Optimization Techniques ◽  
Fractional Factorial ◽  
Experimental Designs ◽  
Sequential Optimization ◽  
Box Behnken Design ◽  
Central Composite

This review determines various optimization techniques which are used commercially for pharmaceutical formulations. A glance on the terminology used in optimization, about the software which is used for design of experiments and information regarding optimization parameters.In this various experimental designs are listed such as Factorial design, fractional factorial design,mixture design, star design, Plackett-Burmann design,Central composite design, Box-Behnken design, Taguchi design, D-Optimal design,sequential optimization design etc.In this it describes about the future scope of the optimization techniques and also various types of experimental designs used for various research works were listed. Thus optimization techniques plays key role in the formulation of various pharmaceutical formulations which brings prots and save time for pharmaceutical industry.

scholarly journals Optimization of usnic acid extraction conditions using fractional factorial design

2020 ◽  
Vol 52 (5) ◽  
pp. 397-401
Author(s):  
Agnieszka Galanty ◽  
Paweł Paśko ◽  
Irma Podolak ◽  
Paweł Zagrodzki
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Extraction Procedure ◽  
Usnic Acid ◽  
Extraction Methods ◽  
Fractional Factorial ◽  
Acid Extraction ◽  
Ultrasound Assisted Extraction ◽  
Vast Number ◽  
Ultrasound Assisted

AbstractUsnic acid is a unique lichen metabolite of industrial importance, widely studied to explore its pharmacological potential and valued especially as an antibacterial agent in cosmetics. Although a vast number of papers describe usnic acid extraction from various lichen species, none has so far provided an unequivocal indication of the best extraction procedure for this compound. Thus, the current study was focused on the direct comparison of three commonly used usnic acid extraction methods (heat reflux, shaking, ultrasound-assisted extractions), which were optimized using fractional factorial design. Heat reflux extraction, shaking extraction and ultrasound-assisted extraction were first optimized in a series of experiments using fractional factorial design, with respect to three parameters: the extraction time, the solvent used and the number of extraction repetitions. HPLC was employed for usnic acid quantitative analysis. The best scores for each extraction method were statistically compared and the optimal conditions were indicated. The optimal set of parameters for usnic acid was established to be a single, 60 min heat reflux extraction with acetone. This extraction scheme provided 4.25 ±0.08 mg g−1 d.w. of usnic acid, while for ultrasound-assisted and shaking extractions the amount was two- or even four times lower (2.33 ±0.17 and 0.97 ±0.08 mg g−1 d.w., respectively). The optimal procedure for usnic acid extraction described here may be suitable for effective acquisition of this compound for scientific research purposes, but also for applications in the pharmaceutical or cosmetic industries.

Optimization of PES Nanocomposite Membrane Preparation Using Statistical Analysis and Experimental Design

2019 ◽  
Author(s):  
Yasin Orooji ◽  
Fatemeh Noorisafa ◽  
Nahid Imami ◽  
Amir R. Chaharmahali
Keyword(s):  
Statistical Analysis ◽  
Experimental Design ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Nanocomposite Membrane ◽  
Membrane Preparation ◽  
Membrane Fabrication

<p>Using experimental design and statistical analysis (½ Fractional Factorial Design), this study investigates the effect of different parameters in the membrane fabrication on the performance of nanocomposite PES/TiO<sub>2</sub> membrane. </p>

scholarly journals Fabrication of a Silicide Thermoelectric Module Employing Fractional Factorial Design Principles

2021 ◽  
Author(s):  
Joachim S. Graff ◽  
Raphael Schuler ◽  
Xin Song ◽  
Gustavo Castillo-Hernandez ◽  
Gunstein Skomedal ◽  
...  
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Waste Heat ◽  
Thermoelectric Module ◽  
Fractional Factorial ◽  
Taguchi Methods ◽  
Dimensional Parameter ◽  
Cu Metallization ◽  
Manganese Silicide ◽  
And Performance

AbstractThermoelectric modules can be used in waste heat harvesting, sensing, and cooling applications. Here, we report on the fabrication and performance of a four-leg module based on abundant silicide materials. While previously optimized Mg2Si0.3Sn0.675Bi0.025 is used as the n-type leg, we employ a fractional factorial design based on the Taguchi methods mapping out a four-dimensional parameter space among Mnx-εMoεSi1.75−δGeδ higher manganese silicide compositions for the p-type material. The module is assembled using a scalable fabrication process, using a Cu metallization layer and a Pb-based soldering paste. The maximum power output density of 53 μW cm–2 is achieved at a hot-side temperature of 250 °C and a temperature difference of 100 °C. This low thermoelectric output is related to the high contact resistance between the thermoelectric materials and the metallic contacts, underlining the importance of improved metallization schemes for thermoelectric module assembly.

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