Objective:The objective of the present work was to formulate and to characterize controlled release matrix tablets of losartan potassium in order to improve bioavailability and to minimize the frequency of administration and increase the patient compliance.Materials and Methods:Losartan potassium controlled release matrix tablets were prepared by direct compression technique by the use of different natural, synthetic and semisynthetic polymers such as gum copal, gum acacia, hydroxypropyl methyl cellulose K100 (HPMC K100), eudragit RL 100 and carboxy methyl ethyl cellulose (CMEC) individually and also in combination. Studies were carried out to study the influence of type of polymer on drug release rate. All the formulations were subjected to physiochemical characterization such as weight variation, hardness, thickness, friability, drug content, and swelling index. In vitro dissolution studies were carried out simulated gastric fluid (pH 1.2) for first 2 h and followed by simulated intestinal fluid (pH 6.8) up to 24 h, and obtained dissolution data were fitted to in vitro release kinetic equations in order to know the order of kinetics and mechanism of drug release.Results and Discussion:Results of physiochemical characterization of losartan potassium matrix tablets were within acceptable limits. Formulation containing HPMC K100 and CMEC achieved the desired drug release profile up to 24 h followed zero order kinetics, release pattern dominated by Korsmeyer — Peppas model and mechanism of drug release by nonfickian diffusion. The good correlation obtained from Hixson-Crowell model indicates that changes in surface area of the tablet also influences the drug release.Conclusion:Based on the results, losartan potassium controlled release matrix tablets prepared by employing HPMC K100 and CMEC can attain the desired drug release up to 24 h, which results in maintaining steady state concentration and improving bioavailability.

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Objective: A reversed phase liquid chromatography was determined and validated for the estimation of Mirabegron in tablet dosage form.Methods: The validation study of RP-HPLC showed a simple, rapid, accurate, precise, reproducible results by using a stationary phase: Waters Acquity HSS T-3 C18 (100 × 2.1 mm, 1.7μm and Mobile Phase-Potassium di-hydrogen phosphate: acetone in the ratio (40:60 v/v) at PH6.0±0.02. Detection is carried out at 243 nm using UV detector.Results: The total chromatographic analysis time per sample was about 6 min with Mirabegron eluting at a retention time of 2.754. Tailing factor obtained from the standard injection is 1.6. Theoretical Plates obtained from the standard injection is 2736.7. The flow rate is 1 ml/min and linearity in the concentration range of 30-70μg/ml (R2=0.999). The precision was 0.4% the intermediate precision was 0.08%. The deliberately varied chromatographic conditions in the concentration range for the evaluation of robustness is 10-50 µg/ml, (n=3). The limit of detection (LOD) and limit of quantitation (LOQ) for Mirabegron were 0.01µg/ml and 0.05µg/ml respectively. The % recovery is 99.8 % with % R. SD of 0.09. The results proved that the optimized HPLC method fulfills these requirements within the ICH accepted limits.Conclusion: The high recovery and low relative standard deviation confirm the suitability of the proposed method for the determination of Mirabegron in tablet dosage form.Â

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Designing of the drug in the vesicular system has brought a new life to the preexisting drugs and thus has improved their therapeutic efficacies by controlling and sustaining the action. The objective of the study is to evaluate the potential of novel vesicular drug delivery systems for drug targeting. Novel drug delivery attempts to either sustain drug action at a predetermined rate, or by maintaining a relatively constant, effective drug level in the body with concomitant minimization of undesirable side effects. A novel drug delivery system is that delivers drug at predetermined rate decided as per the requirement, pharmacological aspects, drug profile, physiological conditions of the body etc. In current conditions, not a single novel drug delivery system behaves ideally those high goals with fewer side effects. The application of vesicular system in drug delivery has changed the definition of diagnosis and treatment in different aspects of biomedical field. A Vesicular Drug Delivery System (VDDS) is the system in which encapsulation of active moieties in vesicular structure, which bridges gap between ideal and available of novel drug delivery system. A number of vesicular drug delivery systems like liposomes, niosomes, transferosomes, pharmacosomes, colloidosomes, herbosomes, sphinosomes, etc. have been developed. This review has been focusing the discussion of about various lipoidal and nonlipoidal vesicular drug targeting.

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Video is a rich information source containing both audio and visual information along with motion information embedded in it. Applications such as e-learning, live TV, video on demand, traffic monitoring, etc. need an efficient video retrieval strategy. Content-based video retrieval and superpixel segmentation are two diverse application areas of computer vision. In this work, we are presenting an algorithm for content-based video retrieval with help of Integration of Curvelet transform and Simple Linear Iterative Clustering (ICTSLIC) algorithm. Proposed algorithm consists of two steps: off line processing and online processing. In offline processing, keyframes of the database videos are extracted by employing features: Pearson Correlation Coefficient (PCC) and color moments (CM) and on the extracted keyframes superpixel generation algorithm ICTSLIC is applied. The superpixels generated by applying ICTSLIC on keyframes are used to represent database videos. On other side, in online processing, ICTSLIC superpixel segmentation is applied on query frame and the superpixels generated by segmentation are used to represent query frame. Then videos similar to query frame are retrieved through matching done by calculation of Euclidean distance between superpixels of query frame and database keyframes. Results of the proposed method are irrespective of query frame features such as camera motion, object’s pose, orientation and motion due to the incorporation of ICTSLIC superpixels as base feature for matching and retrieval purpose. The proposed method is tested on the dataset comprising of different categories of video clips such as animations, serials, personal interviews, news, movies and songs which is publicly available. For evaluation, the proposed method randomly picks frames from database videos, instead of selecting keyframes as query frames. Experiments were conducted on the developed dataset and the performance is assessed with different parameters Precision, Recall, Jaccard Index, Accuracy and Specificity. The experimental results shown that the proposed method is performing better than the other state-of-art methods.