A new method has been established for the simultaneous estimation of Telmisartan and Atorvastatin calcium by RP-HPLC method. The chromatographic conditions were successfully developed for the separation of Telmisartan and Atorvastatin calcium by using boston ODS C18 column, flow rate was 1.0ml/min, mobile Phase consists of methanol:Acetonitrile:buffer in ratio of 35:25:40. Detection wave length was 235nm.The instrument used was SHIMADZU HPLC auto sampler. The retention time of Atorvastatin calcium and Telmisartan was found to be 2.350 and 3.490 minutes respectively. The analytical method was validated according to ICH guidelines (ICH Q2b). The correlation coefficient (r 2 ) was found to be 0.997 and 0.999 for Telmisartan and Atorvastatin calcium respectively. % mean recovery was found to be 100.943% and 100.576% for Telmisartan and Atorvastatin calcium respectively. %RSD for precision on replicate injection was 0.46 and 0.70 for Telmisartan and Atorvastatin calcium respectively. The validation study was found to be precise, robust, and repeatable.

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Objective: The main objective of the present work is to develop an efficient, unique, reliable Reverse Phase High Performance Liquid Chromatography (RP-HPLC) method for the simultaneous quantification of Amoxicillin (AMX), Clarithromycin (CTM) and Lansoprazole (LPZ) in bulk and pharmaceutical formulations.  Methods: The chromatographic separation was achieved by using Kinetex column C18 (100 x 4.6 mm, 2.6 µm) with Buffer (2.5 g of hexane sulphonic acid and 1ml of Triethylamine which are added to 1000 ml of HPLC water and adjusted its pH at 5.0 with Ortho phosphoric acid) and acetonitrile in the ratio of 70: 30 (%v/v) as a mobile phase at flow rate of 1.0 ml/min. The column effluents were monitored by a photodiode array detector at wavelength predetermined at 240 nm. Results: The method produced reliable results at optimized chromatographic conditions. The method was linear at concentration range of 15-225 µg/ml of AMX, 15-225 µg/ml of CTM and 0.9-13.5 µg/ml of LPZ with regression coefficients of 0.9999, 0.9999, and 0.9999 respectively. The retention times of AMX, CTM, LPZ were obtained as 1.513, 3.124, 3.770 min respectively. Results obtained for system suitability, precision, LOD and LOQ were in acceptable range and were validated according to the guidelines of the International Council for Harmonization (ICH). Conclusion: The proposed method was validated in accordance with ICH and all the obtained results were found satisfactory and were successfully applicable to the analysis of the bulk and the pharmaceutical formulations.

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This paper highlights grid operational processes, which are being adapted and practiced to monitor and manage the Indian national grid computing initiative GARUDA. GARUDA is an established grid, spread across more than 30 Indian cities and connected to more than 70 institutes. Various Virtual Organizations (VO) are formed for user communities to collaborate for the realization of common goals. However the resources in the grid may dynamically join or leave and may vary with respects to their administration membership. In this transient nature, the users must be able to keep track of resources and the grid operations are required to monitor and manage the shared resources (software, hardware, data and instruments) for efficient scheduling, data replication, accounting, performance analysis and optimization of resources. To achieve this, various open source and in-house developed tools are used. Monitoring broadly includes network health, cluster up time, middleware and related service status, host certification status, grid security, job statistics and analysis, resources status and so on. Problems are accordingly attended and based on their nature they are escalated to concerned teams, the National Knowledge Network (NKN) team and resource provider institute's Grid Administrators (GA). Various tools that are used for grid monitoring and operation are Paryavekshanam, Nagios, Link Monitoring Tool, Request Tracker etc. Most of the component failures are reported through alert emails to GA. Online reports are available for ease operation. Test scripts are installed at GARUDA Head Node (GHN) for automatic restarting of non functional components. All the results can be viewed online and data archiving is implemented for old data. We have found that proper monitoring methodology, highly transparent and interactive work culture and adhering to quality standards * gives good results in providing high grid availability and stability.