Abstract. The aim of the present study was to develop amorphous solid dispersion (ASD) of meloxicam (MEL) for providing rapid onset of action. ASDs of MEL with polyvinylpyrrolidone (PVP) K-30 (MEL/ PVP), HPC-SSL (MEL/HPC), and Eudragit EPO (MEL/EPO) were prepared. The physicochemical properties were characterized by focusing on morphology, crystallinity, dissolution properties, stability, and the interaction of MEL with coexisting polymers. MEL/EPO was physicochemically stable after storage at 40°C/75% RH for 30 days. In contrast, recrystallization of MEL was observed in MEL/PVP and MEL/HPC at 40°C/50% RH for 30 days. Infrared spectroscopic studies and 1 H NMR analyses of MEL/EPO revealed that Eudragit EPO interacted with MEL and reduced intermolecular binding between MEL molecules. Intermolecular interaction of drug molecules is necessary for the formation of crystalline. Thus, the interaction of MEL with Eudragit EPO and interruption of the formation of supramolecular interaction between MEL molecules might lead to the inhibition of crystal growth of MEL. Of all the MEL solid dispersions prepared, MEL/EPO showed the largest improvement in dissolution behavior. Oral administration of MEL/EPO to rats showed rapid and enhanced MEL exposure with a 2.4-fold increase in bioavailability compared with crystalline MEL. Based on these findings, MEL/EPO was physicochemically stable and provided a rapid onset of action and enhanced bioavailability after oral administration.
The MATLAB M language provides constructs for the simple representation of functions, and has been used extensively for algorithm development and verification in communication and imaging systems design. The M language processes entire arrays simultaneously, and it is expected that design based on M can be implemented faster and with the same or higher quality as compared with design based on other languages. This paper presents a design methodology using M-based design flow for signal processing filters. The results of this design methodology demonstrate the high efficiency of the M-based design flow as compared with conventional functional modeling and manual coding using a hardware description language.
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