Quality by Design: Comparison of Design Space construction methods in the case of Design of Experiments

2020 ◽  
Vol 200 ◽  
pp. 104002
Author(s):  
Diane Manzon ◽  
Magalie Claeys-Bruno ◽  
Sophie Declomesnil ◽  
Christophe Carité ◽  
Michelle Sergent
Author(s):  
Alisson Silva Araújo ◽  
Daniel Fernandes Andrade ◽  
Diego Victor Babos ◽  
Jeyne Pricylla Castro ◽  
José Augusto Garcia ◽  
...  

In this review, quality by design (QbD) initiatives are described as applications for many types of processes, such as in the pharmaceutical industry, biotechnology field, and for analytical methods development. Design space (DS) and design of experiments (DoE) provide useful results for analytical methods development and simulation of advanced processes in traditional manufacturing relationships. The three topics, QbD, DS and DoE are the best way to achieve strong and efficient industrial production.


Author(s):  
Isa Martins Fukuda ◽  
Camila Francini Fidelis Pinto ◽  
Camila dos Santos Moreira ◽  
Alessandro Morais Saviano ◽  
Felipe Rebello Lourenço

Author(s):  
Anchit Dutta ◽  
Adhip Gupta ◽  
Sharath Sathish ◽  
Aman Bandooni ◽  
Pramod Kumar

Abstract The paper presents modeling and Design of Experiments (DOE) analysis for a simple recuperated s-CO2 closed loop Brayton cycle operating at a maximum temperature of 600°C and a compressor inlet temperature of 45°C. The analysis highlights the impact of isentropic efficiencies of the turbine and compressor, decoupled in this case, on other equipment such as recuperator, gas cooler and heater, all of which have a bearing on the overall performance of the s-CO2 Brayton cycle. A MATLAB program coupled with REFPROP is used to perform the thermodynamic analysis of the cycle. A design space exploration with a Design of Experiments (DOE) study is undertaken using I-sight™ (multi-objective optimization software), which is coupled with the MATLAB code. The outcome of the DOE study provides the optimal pressure ratios and high side pressures for maximum cycle efficiency in the design space. By varying pressure ratios along with a floating high side pressure, the analysis reveals that the cycle performance exhibits a peak around a pressure ratio of 2.5, with cycle efficiency being the objective function. A further interesting outcome of the DOE study reveals that the isentropic efficiencies of the compressor and turbine have a strong influence not only on the overall cycle efficiency, but also the optimum pressure ratio as well as the threshold pressures (low as well as high side pressure). An important outcome of this exercise shows that the isentropic efficiency of the turbine has a much greater impact on the overall cycle performance as compared to that of the compressor.


2020 ◽  
Vol 32 (9) ◽  
pp. 2158-2164
Author(s):  
JALIL K. SHAIKH ◽  
MAZAHAR FAROOQUI ◽  
UMMUL KHAIR ASEMA SYED

Quality by design approach has been used to develop simple, rapid, sensitive gradient RP-HPLC stability indicating method for fosaprepitant dimeglumine and its related impurities. The chromatographic method has been developed by using symmetry shield RP-18 (250 mm × 4.6 mm; 5 μm) column maintained at column temperature of 20 ºC. The mobile phase-A consisted of water and acetonitrile (800:200, v/v), added 2 mL of orthophosphoric acid and 0.17 g of tetrabutylammonium hydrogen sulphate. The mobile phase-B consisted of water and acetonitrile (200:800, v/v), added 2 mL of orthophosphoric acid and 0.17 g of tetrabutylammonium hydrogen sulphate. Gradient program was executed as time (min)/% MP-A: 0/80, 3/80, 12/40, 20/20, 24/20, 25/80, and 30/80. The UV detection was carried out at wavelength 210 nm and 20 μL of sample was injected. Sample cooler was maintained at 5 ºC. Stability of fosaprepitant dimeglumine sample was investigated in different stress condition as acid, base, oxidation, thermal, humidity and photolytic. The method was developed in two phases, screening and optimization. During the screening phase, the most suitable stationary phase, organic modifier, and solvent were identified based on the behaviour of each stationary phase with fosaprepitant dimeglumine and its impurities using each buffer and solvent. Total 18 experiments were performed to find out the best experimental condition. The optimization was done for secondary influential parameters like column temperature, gradient program, using six experiments to examine multifactorial effects of system suitability parameters and generated design space representing the robust region. A verification experiment was performed within the working design space and the model was accurate. Drug showed unstable behaviour under acid, base, oxidation, thermal, and humidity conditions. Apripetant was found as major degradation impurity. The method was validated as per ICH guideline for specificity, limit of detection (LOD), limit of quantitation (LOQ), linearity, accuracy, precision, ruggedness and robustness. Correlation coefficient is about 0.999 for all impurities, recovery is between 90% to 103% at all level. LOD value of each impurity is less than 0.01% w/w. DOE statistically based experimental designs proved to be an important approach in optimizing selectivity-controlling parameters for the organic impurities determination in FD API. The method was found to be specific, linear, accurate, precise and robust. The peak purity test results confirmed that the fosaprepitant dimeglumine peak was homogenous in all stress samples and the mass balance was found to be more than 99%, thus proving the stability indicating power of the method. Present method is found to be suitable for routine analysis in quality control laboratory.


Sign in / Sign up

Export Citation Format

Share Document