Hair formulation of Emblica officinalis (Euphorbiaceae), Bacopa, monnieri (Scrophulariaceae), Trigonella foenumgraecum (Leguminosae), Murraya koenigii (Rutaceae) in various concentrations in the form of herbal oil were studied for their hair growth activity. Each drug was tested for their hair growth activity in a concentration range for 1-10% separately. Based on these results mixture of crude drugs Murraya koeniigi, leaf (Rutaceae), Bacopa monnieri, leaf (Scrophulariaceae), Trigonella foenumgraecum (Leguminosae), Murraya koenigii (Rutaceae) were prepared in varying concentration in the form of herbal hair oil by three different oils preparation techniques and were tested for hair growth activity. The result revealed that the hair growth activity of each drug was found proportional to the concentration range tested. Similarly higher concentrations of drug in the formulation were found to have higher hair growth activities. But looking towards the formulation viscosity the maximum concentration of combined drug was found to be 30% at their maximum level. The formulation containing 7.5% of each drug used for the study and showed excellent hair growth activity with standard (2% minoxidil ethanolic solution) by an enlargement of follicular size and prolongation of the anagen phase. It holds the promise of potent herbal alternative for minoxidil. Excellent results of hair growth were seen in formulation prepared by cloth pouch decoction method of oils preparation technique.
The aim of present study is to develop biodegradable microspheres of Tinidazole. Bovine Serum Albumin was used for the preparation of microspheres. They were made in four batches. The emulsion cross-linking method was used for the preparation. The quantity of BSA varies for each formulation. Formulations were evaluated for particle size, Melting point, TLC, entrapment efficiency and in vitro release studies. Depending upon the drug to polymer ratio, the entrapment, loading were found to range between 48, 55, 75 and 78 (in %) respectively. Particle size of prepared microspheres was measured using a compound microscope. The surface topography and internal textures of the microspheres was observed by scanning electron microscopy. The microspheres were spherical, discrete and compact and size distribution was between 33.28 to 36.25 µm. In vitro studies were carried out at different pH for a period of 18 h and compared with marketed formulation. From all the batches it is concluded that when concentration of polymer increases microspheres shows more controlled and prolonged release. The drug release was between 66, 51, 48, 42 (in %). The drug release from 1:4 is most prolonged and constant. Both the IR spectra of drug and formulation were almost same. Combination multitone recorded due to N=O stretching and S=O in the IR region of 1500-1250 cm −1 .
Product development of ophthalmic preparations has received considerable attention in the last few years. With the increasing emphasis on their sterility, some of the differences between them and parenteral preparations are becoming less evident. Both classes of preparations employ similar added substances and manufacturing procedures. The successful formulation of poorly water-soluble drugs is one of the major problems in pharmaceutical manufacturing. Poorly water-soluble drugs, such as indomethacin, may show low and erratic oral bioavailability due to poor dissolution of the drug in the fluids of the gastrointestinal tract. Indomethacin is a water insoluble drug, so problems of formulating an aqueous eye-drop are well known. Moreover, unstability of Indomethacin aqueous preparations is also a great challenge. In this research work, considering pharmacological importance of drug Indomethacin, we tried to overcome the problem of poor water solubility by making a salt of it and thus formulating an aqueous ophthalmic preparation.
The objective of the present investigation was to obtain a QSAR model to predict the antiurease activity of a series of 1,2,4-triazole congeners with reported IC50 values in order to design new and better congeners. The calculation of descriptors was done using CDK package and the correlation matrix was developed using all the descriptors. All the variables were subjected to blind simulation in order to select the independent variables with least inter-correlation and high correlation with the anti-urease action. A total of 14 descriptors were finalized for QSAR model generation using Ezqsar. The MLR method was used to obtain the equation and fit of the equation to predict the anti-urease activity of the congeneric compounds. The QSAR model generated for the series was presented 14 independent variables affecting the urease inhibition action.With a regression coefficient of 0.9976 (R2), the created model was determined to have strong predictive power.
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