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Thus, it is not enough to check the concentration of the active
principle of a drug, but the biological activity of this drug in
the alive cell also should be checked.In this study, an estimation of a biological activity of insulin
drugs took place by comparing the activity of the insulin in the
test preparation by standardized insulin.The potency estimated
indirectly by estimating its biological effect that is decreasing
the blood glucose level in laboratory mice.Insulin is one of the drugs
that can be present chemically but biologically inactive, that is
why bioassay should take place.Comparing here is not simple as comparing means in T-test or
ANOVA, the latter two methods only show whether there is a
significant difference or not.Moreover, RCD is better than using
cross-over design as the analysis took place one time on mice,
so no data missed.
Thus, it is not enough to check the concentration of the active
principle of a drug, but the biological activity of this drug in
the alive cell also should be checked. Insulin is one of the drugs
that can be present chemically but biologically inactive, that is
why bioassay should take place. The main purpose of bioassay
is comparing one or more drugs with a standardized one.
Comparing here is not simple as comparing means in T-test or
ANOVA, the latter two methods only show whether there is a
significant difference or not. The purpose of comparison when
analyzing a drug is to measure its effect as a percentage from the
standardized one. To achieve this purpose, a symmetric parallel
line completely randomized design is used.
In this study, an estimation of a biological activity of insulin
drugs took place by comparing the activity of the insulin in the
test preparation by standardized insulin. The potency estimated
indirectly by estimating its biological effect that is decreasing
the blood glucose level in laboratory mice. The completely
randomized design of the parallel linear model took place in this
analysis. Using this design was with great benefit in reducing
time and effort in analysis. Moreover, RCD is better than using
cross-over design as the analysis took place one time on mice,
so no data missed. When comparing the results of the biological
assay and chemical assay, there was a deviation that is mild in
test 3 and 4, moderate in test 1, and great deviation in test 2.
However, all the results were within the acceptable limits.
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