Application of Plackett and Burman Design for Screenin g of Factors Affecting Albendazole Nanocrystals

2017 ◽  
Vol 7 (2) ◽  
Author(s):  
Krishna D. Koradia ◽  
Rajesh H. Parikh ◽  
Hiral D. Koradia
Keyword(s):  
Factors Affecting ◽  
Burman Design ◽  
Plackett And Burman

scholarly journals Application of Plackett-Burman design for screening of factors affecting pitavastatin nanoparticle formulation development

Folia Medica ◽  
2021 ◽  
Vol 63 (5) ◽  
pp. 775-785
Author(s):  
Vinodkumar D. Ramani ◽  
Girish K. Jani ◽  
Girish U. Sailor
Keyword(s):  
Particle Size ◽  
Influential Factors ◽  
Polydispersity Index ◽  
Formulation Development ◽  
Relative Significance ◽  
Factors Affecting ◽  
Screening Design ◽  
Burman Design ◽  
Nanoparticle Formulation ◽  
Plackett Burman Design

Introduction: Nanoparticle formulation of pitavastatin calcium is a potential alternative to solve the solubility related problem. However, the formulation of nanoparticle involves various parameters that affect product quality. Plackett-Burman design could facilitate an economical experimental plan that focuses on determining the relative significance of many. Aim: The objective of this study was to screen the variables which could significantly affect the pitavastatin nanoparticle formulation. Materials and methods: The pitavastatin nanoparticles were formulated by preparing nanosuspension using the emulsion solvent evaporation technique followed by freeze-drying. A Plackett-Burman screening design methodology was employed in which seven factors at two levels were tested at 12 runs to study the effect of formulation and process variables on particle size and polydispersity index of nanoparticles. The surface morphology and crystalline nature of nanoparticle were also evaluated. Results: The particle size and polydispersity index of nanosuspension was found in the range of 113.1 to 768.5 nm and 0.068 to 0.508, respectively. Statistical analysis of various variables revealed that stabilizer concentration, injection flow rate, and stirring rate were the most influential factors affecting the particle size and polydispersity index of the formulation. X-ray diffraction (XRD) and scanning electron microscopy (SEM) study suggested the amorphous nature of nanoparticles. Conclusions: This study concluded that the Plackett-Burman design was an efficient tool for screening the process and formulation variables affecting the properties of pitavastatin nanoparticles and also for the identification of the most prominent factor.

scholarly journals Factors affecting endoglucanase production by Trichoderma reesei RUT C-30 from solid state fermentation of oil palm empty fruit bunches using Plackett-Burman design

2011 ◽  
Vol 10 (46) ◽  
pp. 9402-9409 ◽  
Author(s):  
Zauri Abdul Wahid Manisya ◽  
Salleh Madihah ◽  
Yusof Faridah ◽  
Ismail Abdul Karim Mohammed ◽  
Zahangir Alam Md
Keyword(s):  
Solid State ◽  
Trichoderma Reesei ◽  
Solid State Fermentation ◽  
Oil Palm ◽  
Factors Affecting ◽  
Empty Fruit Bunches ◽  
Burman Design ◽  
C 30 ◽  
Plackett Burman Design

scholarly journals PLACKETT–BURMAN DESIGN AS A TOOL FOR SCREENING AND PROCESS OPTIMIZATION OF RIVASTIGMINE-LOADED LIPID NANOCARRIERS

2018 ◽  
Vol 11 (12) ◽  
pp. 155
Author(s):  
Anubhav Anand ◽  
Gyanendra Singh ◽  
Shubhini A Saraf
Keyword(s):  
Particle Size ◽  
Entrapment Efficiency ◽  
Diffusion Method ◽  
P Value ◽  
Sonication Time ◽  
Sugar Ester ◽  
Factors Affecting ◽  
Lipid Nanocarriers ◽  
Burman Design ◽  
Plackett Burman Design

Objective: Plackett–Burman experimental design is used to identify the most important factors early in the experimentation phase when complete knowledge about the system is usually unavailable. The objective of this study was to screen out the most important factors affecting the size and entrapment efficiency of rivastigmine hydrogen tartrate (RHT) nanostructured lipid carriers (NLCs).Methods: The RHT-loaded NLC was prepared by the modified solvent emulsification-diffusion method. The independent variables selected for Plackett–Burman design were drug: lipid ratio, solid lipid/liquid lipid (S/L) ratio, concentration Ryoto sugar ester (%w/v), the concentration of poloxamer 188 (%w/v), sonication time (min), sonication amplitude, and stirring time (h).Results: The R2 value for the particle size equation was 86.16%. p value was (<0.05) 0.048 in case of sonication time. In case of entrapment efficiency, the R2 value was 87.12%. The p value (p<0.05) for S/L ratio and the Ryoto sugar (% w/v) was 0.028 and 0.042, respectively.Conclusion: It can be concluded that sonication time has a significant effect on particle size, whereas S/L ratio and Ryoto sugar ester concentration have a significant effect on entrapment efficiency.

scholarly journals Application of Agaricus bisporus industrial wastewater to produce the biomass of Pichia burtonii

2019 ◽  
Vol 79 (12) ◽  
pp. 2271-2278 ◽  
Author(s):  
Jiafu Huang
Keyword(s):  
Industrial Wastewater ◽  
Agaricus Bisporus ◽  
Multispectral Imaging ◽  
Fermentation Broth ◽  
Culture Temperature ◽  
Fermentation Conditions ◽  
Factors Affecting ◽  
Initial Ph ◽  
Burman Design ◽  
Major Factors

Abstract By using Plackett–Burman combined with Box–Behnken design, the fermentation conditions of Pichia burtonii using Agaricus bisporus industrial wastewater as culture medium were optimized. The biomass of P. burtonii in the fermentation broth was analyzed by multispectral imaging flow cytometry. Plackett–Burman design was used to screen out three factors from six factors affecting the biomass of P. burtonii as major factors. The Box–Behnken response surface method was used to optimize the interaction of the three main factors to predict the optimal fermentation conditions. The significant factors affecting the biomass of P. burtonii, such as shaking speed, solubility and culture temperature, were screened. The optimum conditions for P. burtonii were as follows: a shaking speed of 265 rmp, a solubility of 8%, a culture temperature of 25 °C, an initial pH of 6.0, an inoculation amount of 8%, and an amount of 30 mL liquid in 250 mL, and the total living yeast can reach 1.27 ± 0.02 × 108 Obj/mL, which was within the 95% confidence interval of the predicted model (1.08–1.32 × 108 Obj/mL).

Progress In The Practical Application Of Automated Image Analysis To Tem Negatives

1977 ◽  
Vol 35 ◽  
pp. 214-217
Author(s):  
F. A. Heckman ◽  
E. Redman ◽  
J.E. Connolly
Keyword(s):  
Image Analysis ◽  
Image Quality ◽  
Exposure Time ◽  
Image Contrast ◽  
Automated Image Analysis ◽  
Practical Application ◽  
Factors Affecting ◽  
High Image Quality ◽  
Qualitative Evidence ◽  
Comprehensive Study

In our initial publication on this subject1) we reported results demonstrating that contrast is the most important factor in producing the high image quality required for reliable image analysis. We also listed the factors which enhance contrast in order of the experimentally determined magnitude of their effect. The two most powerful factors affecting image contrast attainable with sheet film are beam intensity and KV. At that time we had only qualitative evidence for the ranking of enhancing factors. Later we carried out the densitometric measurements which led to the results outlined below.Meaningful evaluations of the cause-effect relationships among the considerable number of variables in preparing EM negatives depend on doing things in a systematic way, varying only one parameter at a time. Unless otherwise noted, we adhered to the following procedure evolved during our comprehensive study:Philips EM-300; 30μ objective aperature; magnification 7000- 12000X, exposure time 1 second, anti-contamination device operating.

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