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GPCG 1.1 PDF

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The Glatt’s R&D model, GPCG , for the pharmaceutical, chemical and food industry, has been introduced in India. GPCG PRO / PLUS. WST/G PRO / PLUS. Fluid bed systems. We set the standard. GPCG PRO. WSG PLUS. GPCG PLUS. WSG PRO. GRANULATING. COATING. GPCG 1. inch Wurster. 6 inch Wurster. 2 liter Granulator/Dryer/Coater. mm Rotor. 50 – g. – g. – g. – g. GPCG

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The acceptable range of material attributes was determined based on DS. The negative coefficient So out off whole coating assembly, Wurster column is a functional area for quality coating. CFM value was scaled up. The aim of this study was to investigate the influence of process parameters on the pellets quality using an experimental design and risk mitigation performed based on QbD principles for quality product.

Afr J Business Management ;5: The aim of this work was to optimize process variables for enteric coated pellets processing. Positive signs indicate an increase in the response value while negative signs demonstrate a decrease in the response value. SEM images of enteric coated pellets of-a F13, b F14, c F17 and d F19 The agglomerates Y 2 formation was equally influenced by the linear models of spray rate X 2atomization air pressure X 3 and spray rate-atomization air pressure X 2 X 3.

Photomicrographs of gold coated enteric coated pellets were obtained using a scanning electron microscope SEM; Phenom, Netherlands. Positron emission particle tracking studies of a Wurster process for coating applications. X 2 and X 3 were the most critical process parameters found affecting on yielded and assay of pellets while X 3 has less impact. Nevertheless, once the effect of variables are studied and understood in lab model, it will make the analysis much easier.

Bottom spray fluidized bed processor Wurster technology supplier always designs all capacity equipment in linear scale which help to make scale up activity easy. DS was determined from the common region of successful operating ranges for multiple CQAs discussed in table 2. The variables come under each set provided in fig. Comparison between predicted and experimentally observed values for process variables.

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Accurately weighed pellets 1. Maronga SJ, Wnukowski P.

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CPP selection has traditionally been difficult because of a lack of a systematic approach to the problem which due to a large number of unit operations and complexity. This study indicated that atomization air pressure governed the fines generations, as pressure increased, fines generation increased proportionately.

The main effects, X 1X 2and X 3represent the average value of changing factor one at a time; X 1 X 2X 1 X 3and X 2 X 3 represent the interaction terms and the polynomial terms X 1 2X 2 2 and X 3 2 are used to assess nonlinearity [24]. In the CS, the parameters were routinely controlled during production in order to assure the reproducibility [25].

The development of the product is normally done in 6″ Wurster with the batch size 0. The FMEA is the best risk management tool can used for Wurster based pellet coating process to categories the risk of process variables. Prior to optimization, historical data were analyzed and several screening DoE analyses were done.

Process parameters for enteric coating of gpvg trials. Hence, value of correlation coefficients found less than 0. It is not difficult to imagine the example of an extreme shift of a process parameter having a minor impact on a CQA, whether measurable or not [1].

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Int J Pharm ; DS could be determined from the common region of successful operating ranges for the two responses. The batch depth and mass flow density increases. Pharmaceutical ypcg by design: The resulting equation for all three responses Y 1 finesY 2 agglomerates and Y 3 assay are presented below:. Neha Chavan is a Formulation Scientist for Glatt Air Techniques, Pharmaceutical Services Division and has been a frequent speaker and presenter at pharmaceutical conferences.

The amount of impact is not defined, which leads to the question, does even a small impact to a CQA mean that the parameter is critical? All process parameters should be proportional to the base area of Wurster column compared with lab model column. Three-dimensional surface plot fig. Risk priority numbers RPNs were calculated as the product of occurrence, severity and detectability scores.

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The initial risk assessment of the enteric coating process presented in fig. In this study pantoprazole enteric coated pellets used to prepare oro dispersible multiunit particulate system MUPS tpcg of pantoprazole where enteric coating was a functional coating which decided the acid resistance capacity of pellets. Scanning electron microscopy Enteric coated pellets were placed onto a double-sided carbon tape mounted on studs and sputter-coated JFC, Jeol, Tokyo, Japan with gold.

The wide variation in the percentage fines and agglomerates for different formulations and the high degree of reproducibility suggested that these responses are strongly dependent on the selected independent factors. Air volume cfm 46 58 70 X 2: In pellet formulation, yield is reduced either due to fine generation or agglomerates formed.

Following completion of process development studies, a greater understanding of the 11. to product yield and assay associated with coating process been developed in DS which covered all validated range of process variables.

It was concluded that a promising pellets coating process was successfully designed using QbD approach and successfully scale upscale up possible based on complete optimization of process variables, understanding of risk associated with variables and implementation of scale-up factor calculation provided by the vendor.

Experimental design The aim of this work was to optimize process variables for enteric coated pellets processing. Response surface plot showing the influence of process variables on -a fines, b agglomerates, and c assay Assay was significantly influenced by the linear models of spray rate X 2. When X 2 at low level and X 3 at high level, spray drying increased hence fines increased while X 2 at a high level and X 3 at a low level, agglomeration increased.

The resulting equation for all three responses Y 1 finesY 2 agglomerates and Y 3 assay are presented below: The agglomerates Y gpxg formation was equally influenced by the linear models of spray rate X 2atomization air pressure X 3 and spray rate-atomization air pressure X 2 X 3.

The control strategy for pantoprazole enteric coating process.