Background: In some cases, lifestyle changes are not enough to keep type 2 diabetes under
control, so there are several medications that may help. Metformin can lower your blood sugar levels,
Glimepiride makes more insulin, whereas Empagliflozin prevents the kidneys from reabsorbing sugar
into the blood and sending it out in the urine.
Methods: Mean centering, double divisor, ratio spectra-zero crossing, and successive derivative were
applied for the estimation of metformin, empagliflozin, and glimepiride respectively, in their prepared
laboratory mixtures and in pharmaceutical tablets, without prior chemical separation. The absorption
spectra of the mentioned drugs were recorded in the range of 200-400nm.
Results: These methods were linear over concentration ranges of 1.0-10, 2.5-30, and 1.0-10 μgmL-1 of
metformin, empagliflozin, and glimepiride respectively. Mean centering for metformin was measured at
234 and 248 nm, while empagliflozin and glimepiride had amplitude values at 276 and 262 nm, respectively.
The derivative of double divisor was measured at 234, 278, and 288 nm for metformin, empagliflozin
and glimepiride, respectively. The ratio of spectra-zero crossing was quantified at amplitude values
of the analytical signal at 234 and 274 nm for metformin and empagliflozin, respectively, whereas
glimepiride was determined at 242 and 286 nm. The successive ratio of metformin, empagliflozin, and
glimepiride was determined at 284, 242, and 266 nm, respectively.
Conclusion: The methods are validated according to the ICH guidelines where accuracy, precision and
repeatability are found to be within the acceptable limit. The methods were studied and optimized. Upon
validation linearity, precision, accuracy, LOD, LOQ and selectivity were proved to be operative for
the analysis of specified drugs in pharmaceutical dosage configuration. Statistical illustration was done
between the suggested methods with the reported methods with consideration to accuracy and precision.
No significant difference was found by student’s t-test, F-test and one-way ANOVA.