Extractive Spectrophotometric Determination of Omeprazole in Pharmaceutical Preparations

Purpose: To develop a simple, rapid and selective method for the extractive spectrophotometric determination of omeprazole using acidic dyes. Methods: Extractive spectrophotometric determination of omeprazole was developed using acidic dyes - bromophenol blue and orange G - as ion-pairing agents in aqueous medium (pH 7.0 and 6.0, respectively). The ion pair chromogen formed, which was extracted with chloroform, was measured quantitatively at 408 nm and 508 nm, respectively. The developed method was used to analyse commercial omeprazole tablets.Results: Using bromophenol blue and orange G dyes, the ion-paired formed obeyed Beer’s law in the ranges 5 - 30 μg/ml and 50 - 250 μg/ml at 408nm and 503nm, respectively, with molar absorptivities of1.712 × 103 L mol-1 cm-1 and 2.095 × 103 L mol-1 cm-1, respectively, for omeprazole,. The purity of omeprazole obtained was 98.1±0.9 and 99.7±0.3, respectively. Standard deviation (S.D.), % relativestandard deviation (% R.S.D.) and standard error were 0.001 - 0.013, 0.94 - 1.07 % and 4 × 10-4, respectively. The complexes formed were stable for approx. 3 h. Conclusion: Recovery studies gave satisfactory results indicating that none of the major additives/excipients interferred with the assay method. Therefore, a simple, rapid and selective methodwas developed for extractive spectrophotometric determination of omeprazole. This method may be useful for routine laboratory analysis of omeprazole

Evaluation of Diuretic Activity of Aqueous and Methanol Extracts of Lepidium sativum Garden Cress (Cruciferae) in Rats

Purpose: The present study was undertaken to investigate diuretic effect of aqueous and methanol extracts of the dried seeds of Lepidium sativum in normal rats.Method: Aqueous and methanol extracts of L. sativum seeds were administered to experimental rats orally at doses of 50 and 100 mg/kg p.o. Hydrochlorothiazide (10 mg/kg) was used as positive control instudy. The diuretic effect of the extracts was evaluated by measuring urine volume, sodium and potassium content, conductivity and pH.Result: Urine volume was significantly increased by the two doses of aqueous and methanol extracts in comparison to control group. While the excretion of sodium was also increased by both extracts, potassium excretion was only increased by the aqueous extract at a dose of 100 mg/kg. There was no significant change in the conductivity and pH of urine after administration of the L. sativum extracts. The diuretic effect of the extracts was comparable to that of the reference standard (hydrochlorothiazide) and the methanol had the additional advantage of a potassium-conserving effect.Conclusion: We can conclude that aqueous and methanol extracts of L. sativum produced notable diuretic effect which appeared to be comparable to that produced by the reference diuretic HCTZ. The present study provides a quantitative basis for explaining the folkloric use of L. sativum as a diuretic agent in Moroccan population

Metallographic Image Fusion

Image processing plays important role in manufacturing, aerospace, biomedical fields. To determine the classification of metallic sample, edge structure and images without blur are required. Instead of finding the noise kernel blur section of images can be removed by using multiple images fusion. There are different methods used for image fusions like average method, maxima, wavelet transform. For image fusion discrete wavelet transform is used. Image fusion improves the quality of image, data content. In this paper three images are used to fuse together. This images having standard size of 640x480 pixels. Image fusion improves the quality so that edge structure can be determined. According to edge structure the classification is done using ASTME standards

Peroxisome proliferator-activated receptors and thiazolidinediones in diabetic nephropathy

Diabetic nephropathy is global problem with several drugs into trial without much success the current article highlights the role of thiazolidinedione’s in diabetic nephropathy by scrutinizing and reconnoitring the cellular and intracellular mechanism and shielding action and the role of peroxisome proliferator-activated gamma receptors (PPARγ) receptors. Not only anti-diabetic action but renal protective effect with evidence based study has been highlighted. PPAR γ-is versatile target having numerous benefits and mainly preventing fibrosis in diabetic experimental model and some clinical case report yet, the benefits are not up to mark, since renal failure itself causes volume expansion and the thiazolidinedione’s (TZDs) also preserve salt and water and lead to congestive heart failure which constraints its clinical application. Dual activators and balaglitazone selective PPAR modulator are having upcoming potential for treatment of diabetic nephropathy. Further detail investigation on such drug is needed to explore. However adverse effect like heart failure, osteoporosis and volume expansion effect over-rides the beneficial effect thus limiting its clinical use of currently available TZDs

A Survey on Big Data, Hadoop and it’s Ecosystem

Now days, The 21st century is emphasized by a rapid and enormous change in the field of information technology. It is a non-separable part of our daily life and of multiple other industries like education, genetics, entertainment, science & technology, business etc. In this information age, a vast amount of data generation takes place. This vast amount of data is referred as Big Data. There is a number of challenges present in the Big Data such as capturing data, data analysis, searching of data, sharing of data, filtering of data etc. Today Big Data is applied in various fields like shopping websites such as Amazon, Flipkart, Social networking sites such as Twitter, Facebook, and so on. It is reviewed from some literature that, the Big data tends to use different analysis methods, like predictive analysis, user analysis etc. This paper represents the fact that, Big Data required an open source technology for operating and storing huge amount of data. This paper greatly emphasizes on Apache Hadoop, which has become dominant due to its applicability for processing of big data.Hadoop supports thousands of terabytes of data. Hadoop framework facilitates the analysis of big data and its processing methodologies as well as the structure of an ecosystem

Review Paper-Social networking with protecting sensitive labels in data Anonymization

The use of social network sites goes on increasing such as facebook, twitter, linkedin, live journal social network and wiki vote network. By using this, users find that they can obtain more and more useful information such as the user performance, private growth, dispersal of disease etc. It is also important that users private information should not get disclose. Thus, Now a days it is important to protect users privacy and utilization of social network data are challenging. Most of developer developed privacy models such as K-anonymity for protecting node or vertex reidentification in structure information. Users privacy models get forced by other user, if a group of node largely share the same sensitive labels then other users easily find out one’s data ,so that structure anonymization method is not purely protected. There are some previous approaches such as edge editing or node clustering .Here structural information as well as sensitive labels of individuals get considered using K-degree l-deversityanonymity model. The new approach in anonymization methodology is adding noise nodes. By considering the least distortion to graph properties,the development of new algorithm using noise nodes into original graph. Most important it will provide an analysis of no.of noise nodes added and their impact on important graph property

A prospective study to compare the efficacy and safety of tioconazole and clotrimazole vaginal gel in patients suffering from vulvovaginal candidiasis

Background: Vulvo vaginal candidiasis is an extremely common gynaecological condition. While clotrimazole has been the mainstay of treatment of this pathology, newer medications are now available. The study aims to compare the efficacy, compliance and safety of tioconazole single dose intravaginal gel application and clotrimazole vaginal gel for 3 days in patients suffering from vulvovaginal candidiasis.Methods: A prospective, multicentric, open label, randomized, controlled, parallel group clinical trial of 220 women with 110 in each group for the evaluation of the effects of tioconazole vaginal gel in patients suffering from candidial vaginitis. Patients were divided into two groups; Group I received tioconazole vaginal gel as topical single dose therapy administered by the treating doctor and Group II received clotrimazole vaginal gel self-administered by the patient for three days. Response to therapy in both groups was studied and compared.Results: At the end of day 7, mean score of vaginal discharge quantity had a fall of 93.3% and 92.3% in tioconazole and clotrimazole group respectively but difference was statistically insignificant. Microbiological cure rate in both the groups was similar. Reduction of vaginal irritation, vaginal itching, vaginal burning, pain in the vulval area, pain during urination or during sexual intercourse, vaginal erythema, tenderness and swelling were also comparable in both the groups.Conclusions: Tioconazole gel single dose intravaginal application is as effective as clotrimazole gel three day intravaginal application. tioconazole is safe, well accepted and tolerated by the patients and will be useful in the treatment of vulvovaginal candidiasis

Review Paper - High Utility Item sets Mining on Incremental Transactions using UP-Growth and UP-Growth+ Algorithm

One of the important research area in data mining is high utility pattern mining. Discovering itemsets with high utility like profit from database is known as high utility itemset mining. There are number of existing algorithms have been work on this issue. Some of them incurs problem of generating large number of candidate itemsets. This leads to degrade the performance of mining in case of execution time and space. In this paper we have focus on UP-Growth and UP-Growth+ algorithm which overcomes this limitation. This technique uses tree based data structure, UP-Tree for generating candidate itemsets with two scan of database. In this paper we extend the functionality of these algorithms on incremental database.