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 A REVIEW ON OPTIMIZATION OF DRUG DELIVERY SYSTEM WITH EXPERIMENTAL DESIGNS

2018 ◽  
Vol 10 (2) ◽  
pp. 7 ◽  
Author(s):  
Nazia Khanam ◽  
Md Irshad Alam ◽  
Quazi Md Aamer Iqbal Md Yusuf Ali ◽  
Aquil-ur-rahman Siddiqui
Keyword(s):  
Factorial Design ◽  
Pharmaceutical Formulations ◽  
Pharmaceutical Products ◽  
Review Article ◽  
Optimization Techniques ◽  
Fractional Factorial ◽  
Experimental Designs ◽  
Present Review ◽  
Screening Methods ◽  
Pharmaceutical Industries

The present review article aims at determining the various possible techniques available to enhance the quality, safety and efficacy of pharmaceutical formulations by exploring most suitable and practically applicable experimental designs and optimization techniques. As we know that pharmaceutical industries are constantly in search of novel ideas to improve quality by various optimization techniques, hence in present review article we shall discuss latest optimization techniques and experimental designs to achieve the best combination of product and process characteristics under the given set of conditions. Experimental designs and optimization techniques are the tools that are simultaneously and systematically used to identify various types of problems that may influence research, development and production of pharmaceutical formulations. These are organized an approach to determine the relationship between the factors affecting a process and the output of that process. The screening methods discussed here include factorial design, fractional factorial designs, full factorial design, mixture designs etc. Recently, different software has been used in implementing optimization techniques in pharmaceutical products to enhance product quality by using most suitable available facilities.

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.

Fractional Factorial Experimental Designs in Marketing Research

1973 ◽  
Vol 10 (3) ◽  
pp. 270-276 ◽  
Author(s):  
Charles W. Holland ◽  
David W. Cravens
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Marketing Research ◽  
Cost Benefit ◽  
Fractional Factorial ◽  
Experimental Designs

Fractional factorial experimental designs typically yield favorable cost-benefit relationships when compared to the various classical designs. The essential aspects of the fractional factorial design are outlined, and its use in the study of a marketing problem is illustrated. The types of research situations where the design is potentially useful are identified.

Fractional Factorial Design Approach for Optimizing Analytical Methods

1993 ◽  
Vol 76 (3) ◽  
pp. 615-620 ◽  
Author(s):  
Philip J Oles
Keyword(s):  
Factorial Design ◽  
Analytical Methods ◽  
Fractional Factorial Design ◽  
Computer Software ◽  
Fractional Factorial ◽  
Experimental Designs ◽  
Precision And Accuracy ◽  
Feed Premix ◽  
Significant Factors

Abstract Experimental designs based on procedures of Taguchi are described for optimizing analytical methods. Methods were efficiently developed, with improvements in precision and accuracy, for the determination of cholesterol in foods, magnesium in feed premix, and moisture in mayonnaise. Significant factors and interactions were identified by using 2-level designs, analysis of variance techniques, and commercially available computer software. The designs were prepared by using Taguchi linear diagrams. The methods developed as a result of these experiments have proven to be rugged and reliable.

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>

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