The development of polymeric nanoparticles (NPs) from preformed polymers usually requires the use of organic solvents and is more expensive. Hence, in this work, the development of polymeric nanoparticles by in situ aqueous dispersion polymerization from the monomers was set as an objective. Acrylonitrile monomer based polymeric NPs comprising Lamivudine (LMV) as a model drug were prepared using the aqueous dispersion polymerization technique. A quality by design approach was applied to optimise various formulation and process factors viz. monomer concentration, initiator concentration, stabilizer concentration and polymerization temperature. Polymerization time (PT), entrapment efficiency (EE), particle size (PS), and drug release rate constant (k) were taken as the responses to define the quality of the prepared NPs. Design of experiments analysis followed by optimization was performed to identify the optimized combination of the factors. Later, the optimized formulation was studied for the physical state of the LMV in the nanoparticles, surface morphology of the NPs and cytotoxicity studies. The optimized formulation was found to have 91.7 min. of PT, 81.4% of EE, 253 nm of PS and a k value of 0.262 h
This paper proposes a model for steady state availability evaluation and optimization of a production system having large number of s-identical and independent machines. Existing models of availability evaluation are not adequate enough of solving this problem, since these models requires to specify reliability logic diagram (RLD) for modeling. The proposed model is aimed at solving availability modeling problem when no specific RLD is required. An economic analysis based on net benefits (NB) has also been carried out for deciding optimum number of repair crews. An example of a spinning mill having 50 looms has been discussed for illustrating the model. Studying the results, we have identified and defined two important parameters of the proposed system viz, limiting availability and optimum availability of the system.
The main aim and objective of the research work is to develop an effective, sensitive, economical and simple reverse phase HPLC method for quantification of Eravacycline and its impurities in Eravacycline parenteral dosage form. The separation was achieved by using a stationary phase waters Primesil C18 (250 x 4.6 mm, 5µ) and the mobile phase consists of ammonium acetate buffer and acetonitrile in the proportion of gradient elution. The flow rate was 1.0 mL/min. Eravacycline was detected by using UV detector at the wavelength of 210 nm. The column temperature was maintained at 40°C and sample cooler temperature was maintained at 5°C, injection volume 10 µL, run time was 60 minutes. The developed method was validated for various parameters as per ICH guidelines like accuracy, precision, linearity, specificity, solution stability.
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