Wavelet signal processing tools were applied to the UV spectral dataset for the quantification and
understanding the in vitro dissolution behaviors of tenofovir disoproxil fumarate (TEN) and emtricitabine
(EMT) in commercial tablets with low-cost and short analysis time. Preliminary signal analysis tests were
staged to determine the most suitable wavelet family or families to monitor in vitro dissolution profiles and
quantify the drugs of interest. Of these, Daubechies (db6), Symlets 3 (sym3), Biorthogonal 1.5 (bior1.5) and
Coiflets 5 (coif5) continuous wavelet tools have been found to be optimal as they provide the desired results.
Calibration curves obtained by regression analysis of the continuous wavelet signal (dependent variable) on
concentration (independent variable) were found to be linear in the range of 4.0-52.0 µg/mL for both drugs.
The validity of CWT signal processing tools was tested by analyzing mixtures made in the laboratory. The
Quantitation of TEN and EMT by the proposed signal processing tools did not require a pre-separation
procedure. They were successfully utilized for the assay and in vitro dissolution monitoring of the two drugs in their
combined tablets. Consequently, the presented work provided alternative tools based on wavelet signal processing to
traditional derivative spectrophotometry to resolve a two-component mixture without using a priori separation step