Process Optimization for Double-Cone Blender and Application of Statistics
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Author:
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UPLOADED BY-ADMIN, SHARMA HITESH, MITTAL SWATI, JAIN DARSHANA
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Abstract:
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Mixing is probably the most widely performed unit operation in pharmaceutical manufacturing, in fact, it is difficult to
find a product where mixing is not involved in some stage of the process It is difficult to determine, what degree of mixing is
required in particular circumstances and ways to assess the same. Blending operation could be affected by the physical
properties of the materials to be mixed, blending time, rotation speed and percentage of blender capacity. Poor uniformity of
the blend is obtained especially during the mixing of low dose drug with large amount of excipient. Chlorpheniramine
maleate is example of one such drug. Optimization of the mixing procedure in a double cone blender for a potent drug like
Chlorpheniramine maleate was carried out. For uniform mixing of the blend following parameters were optimized blending
time, rotational speed and fill volume. Statistical techniques like Analysis of Variance also known as ANOVA was applied
to designed experiments to determine variations within a batch, within equipment or even due to operators. It proved to be a
valuable tool in maintaining product and process uniformity by comparing two or more groups. This method can be
employed in pharmaceutical industry for optimization of equipments for higher production output and uniform mixing of
low dose drug.
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Keyword:
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Double cone blender, Chlorpheniramine maleate, Optimization, ANOVA.
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EOI:
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DOI:
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