A Validated Densitometric Method for Analysis of Atorvastatin Calcium and Metoprolol Tartarate as Bulk Drugs and In Combined Capsule Dosage Forms

A simple, accurate and precise high-performance thin-layer chromatographic method has been developed for the estimation of Atorvastatin Calcium and Metoprolol Tartarate simultaneously from a capsule dosage form. The method employed Silica gel 60F 254sprecoated plates as stationary phase and a mixture of Chloroform: Methanol: Glacial acetic acid (dil.) :: (9:1.5:0.2 ml %v/v) as mobile phase. Densitometric scanning was performed at 220 nm using Camag TLC scanner 3. The method was linear in the drug concentrations’ range of 500 to 2500 ng/spot for Atorvastatin Calcium, also for Metoprolol Tartarate with correlation coefficient of 0.984 for Atorvastatin Calcium and 0.995 for Metoprolol Tartarate respectively. The retention factor for Atorvastatin Calcium was 0.45 ± 0.04 and for Metoprolol Tartarate was 0.25 ± 0.02. The method was validated as per ICH (International Conference on Harmonisation) Guidelines, proving its utility in estimation of Atorvastatin Calcium and Metoprolol Tartarate in combined dosage form

Kinetic energy driven superconductivity in doped cuprates

Within the t-J model, the mechanism of superconductivity in doped cuprates is studied based on the partial charge-spin separation fermion-spin theory. It is shown that dressed holons interact occurring directly through the kinetic energy by exchanging dressed spinon excitations, leading to a net attractive force between dressed holons, then the electron Cooper pairs originating from the dressed holon pairing state are due to the charge-spin recombination, and their condensation reveals the superconducting ground-state. The electron superconducting transition temperature is determined by the dressed holon pair transition temperature, and is proportional to the concentration of doped holes in the underdoped regime. With the common form of the electron Cooper pair, we also show that there is a coexistence of the electron Cooper pair and antiferromagnetic short-range correlation, and hence the antiferromagnetic short-range fluctuation can persist into the superconducting state. Our results are qualitatively consistent with experiments.Comment: 6 pages, Revtex, two figures are included, corrected typo

Mixed Oxide Supported MoO3 Catalyst: Preparation, Characterization and Activities in Nitration of o-xylene

<p>TiO2-ZrO2 mixed oxide support was prepared and impregnated with 12 wt % MoO3 and calcined at various temperatures. The resultant catalyst systems were characterized by XRD, FT-IR, BET, SEM, NH3-TPD and pyridine adsorbed FT-IR methods to know the physico-chemical changes occurred in course of thermal treatment. Activities of these catalysts were tested by employing them in the nitration of o-xylene. Mostly, 500 oC calcined catalyst sample was found to be most active for nitration reaction. Catalyst calcined at higher temperatures showed the negative influence on o-xylene conversion and 4-nitro-o-xylene selectivity. Conversion can be correlated with the presence of strong Brönsted acid sites over the catalyst surface whereas change in selectivity was found attributed to the pore diameter of the catalyst. These catalysts also performed satisfactorily, when used for nitration of other aromatics. No use of corrosive sulfuric acid and efficient reusability of the catalyst make the process environmentally friendly and economic. ©2010 BCREC UNDIP. All rights reserved</p><p>(<em>Received: 9th February 2010, Revised: 5th March 2010; Accepted: 18th March 2010</em>)</p><p><strong>[How to Cite</strong>: S.M. Kemdeo, V.S. Sapkal, G.N. Chaudhari. (2010). Mixed Oxide Supported MoO3 Catalyst: Preparation, Characterization and Activities in Nitration of o-xylene. <em>Bulletin of Chemical Reaction Engineering and Catalysis</em>, 5(1): 39-49. <strong>doi:10.9767/bcrec.5.1.7126.39-49</strong>]</p><p><strong>[How to Link / DOI:</strong> <a href="http://dx.doi.org/10.9767/bcrec.5.1.7126.39-49" target="_self">http://dx.doi.org/10.9767/bcrec.5.1.7126.39-49</a> || or local:  <a href="/index.php/bcrec/article/view/7126" target="_self">http://ejournal.undip.ac.id/index.php/bcrec/article/view/7126</a> ]</p><p>Cited by in: <a href="http://dx.doi.org/10.1080/00914037.2010.551350" target="_blank">Taylor Francis</a> |</p

Crop weather relationship in preseasonal sugarcane (Var. CoM 0265)

A field experiment was carried out at Central Sugarcane Research Station Padegaon, during 2011-12 to 2013-14 to assess the crop weather relationship in preseasonal sugarcane (var. CoM 0265). Treatments were comprised of nine planting dates at 15 days interval starting from 15th October to 15th February. The results indicated that the early planting produced highest cane and CCS (commercial cane sugar) yield. Significantly the highest brix (21.3), sucrose (20.4%), purity (96.8%) and CCS (14.6%) were observed under early planting of sugarcane on 15th October, which was at par with the treatment 01st November, 15th November, 1st December planting. At harvest cane and CCS yield of sugarcane was positively correlated with maximum temperature, wind velocity and pan evaporation. Significantly positive correlation of millable cane, weight per cane was observed with cane and CCS yield

Multi-Environment Speaker Verification

Here we investigate an instance of the abstract problem of pattern recognition under mismatch conditions: Models of phenomena are built with data collected in the training environment but must be used to recognize the same phenomena in another environment. The specific problem is speaker verification, where the training and testing data for each speaker can come from one of many different microphones. We use data, unlabeled with respect to channel or environment, to build, unsupervised, an easily extensible, hierarchical structure that at the finest level consists of individual speaker models, but at the coarsest level is a collection of all of the models. We then have the ability to automatically generate evolving background models from any layer of our hierarchical model when we wish to perform a verification. We give results to show that the richer our hierarchical structure, the better we do in terms of verification. 1. INTRODUCTION We consider the problem of speaker verification u..

A parametric study with experimental investigations of expanded graphite on performance measure of EDM process of Ni55.8Ti SMA

The present work focuses on the impact of expanded graphite (EG) nano-powder along with spark-on-duration (Ton) and spark-off-duration (Toff), and current as factors on increasing material removal rate (MRR), reduction of surface roughness (SR), tool wear rate (TWR), dimensional deviation (DD), and surface defects for Ni55.8Ti. Taguchi’s design having 4 factors at 3 levels was employed to perform the experimental trials. ANOVA has successfully validated the developed regression equations. EDM factors of PC, Toff, current, and Toff were found to be the largest contributing factors with the involvement of 76.91 %, 38.40 %, 34.36 %, and 44.54 % for MRR, TWR, SR, and DD respectively. TLBO algorithm was used in the present work to tackle the conflicting situation and to optimize the response variables. The simultaneous optimization conducted through the Teaching-learning-based optimization technique has yielded optimal parameters setting of Ton at 7 µs, Toff at 5 µs, PC at 1.5 g/L, and current at 10 A by giving optimal response values at MRR of 42.82 mm3/min, TWR of 0.4039 mm3/min, SR of 3.71 µm, and DD of 92.65 µm. Lastly, Scanning electron microscopy was utilized to check EG nano-powder significance on the machined parts' surface morphology