Rajasthan

About Authors:
CHIRAG S. RAJPARA*¹, JAWED AKHTAR¹, AMIT KHANDHAR²
1. Department of Quality Assurance, School of Pharmaceutical Sciences, Jaipur National University, Jagatpura, Jaipur-302025, Rajasthan, India.
2. Zydus cadila pharma, moraiya,ahmedabad.
*chiragrajpara2601@gmail.com

ABSTRACT
* A simple, specific, accurate and stability-indicating reversed phase high performance liquid chromatographic method was developed for simultaneous estimation of Tadalafil and Dapoxetine HCL, Water Symmetry C-18 (150 x 4.6 mm),5 µ and a mobile phase composed of Buffer : Acetonitrile (65:35)

* The retention time of Tadalafil and Dapoxetine HCL were found to be10.08 and 4.45 min respectively. Linearity was established for Tadalafil and Dapoxetine HCL in the range of 8.0-60 μg/ml and 24.0-180.0 μg/ml respectively. The percentage recovery of Tadalafil and Dapoxetine HCL were found to be in the range of 99.7-100.6% and 98.07-99.09% respectively. The drug was subjected to acid and alkali hydrolysis, oxidation, dry heat and photolytic degradation. The degradation studies indicated, Tadalafil showed degradation in acid and alkali while it was found stable in H₂O_2, photolytic and in presence of dry heat and Dapoxetine showed degradation in thermal and peroxide while it was found stable in rest of parameters . The degradation products of Tadalafil and Dapoxetine HCL in acidic, alkaline conditions were well resolved from the pure drug with significant differences in their retention time values. This method can be successfully employed for the quantitative analysis of Tadalafil and Dapoxetine HCL in bulk drugs and formulations.

About Authors:
Gupta S^*, Singal A
Apex Institute Of Pharmaceutical Sciences,
Jaipur, Raj., India
*somesh.gupta88@gmail.com

Abstract
The aim of the present study was to correlate the occurrence of hypertension in the diabetics’ patient by the survey report on hypertension associated with diabetics’ patient. The effect of this study is symbolize that 70% patient have diabetes with hypertension and 30% patient with hypertension only so we can say that in this survey as the BGL increased leads to increased in B.P. And it was also found to be that aged patients have more risk of diabetes. Over 60- 70 year age group patient have 40% risk to get diabetes.

About Author:
Patel Chirag J*, Asija Rajesh, Asija Sangeeta, Mangukia Dhruv
Maharishi Arvind Institute of Pharmacy,
Department of pharmaceutics, Jaipur,
Rajasthan, India.
*chirag.bangalore@gmail.com

ABSTRACT
Amongst the various carriers, few drug carriers reached the stages of clinical trials where liposome shows strong potential for effective drug delivery to the site of action. Liposomes are vesicles having concentric phospholipid bilayers. Molecules from low molecular weight to high molecular weight have been incorporated in liposomes. The water soluble compounds/drugs are present in aqueous compartments while lipid soluble compounds/drugs and amphiphilic compounds/drugs insert themselves in phospholipid bilayers. Drug encapsulated in liposomes include doxorubin, cisplatin, vincristin, melphalan, sarcolycin, daunorubicin, etoposide, etc. The liposomes containing drugs can be administrated by many routes (intravenous, oral inhalation, local application, ocular) and these can be used for the treatment of various diseases. Their predominance in drug delivery and targeting has enabled them to be used as therapeutics tool in fields like tumour targeting, gene and antisense therapy etc. This review discusses the advantages, disadvantages, mechanism, classification, method of preparation, characterization and application of liposomes.

Synokem Pharmaceuticals, founded in 1982 is an emerging pharmaceutical company with proven capabilities in the areas of manufacturing and marketing. It’s among the fast growing pharmaceutical company in India, which has grown from strength to strength and diversified its activities.
Synokem Pharmaceuticals Ltd., a 100 crore, progressive, 28 years old organization with all India operations requires for its different

About Authors:
Joshi B.*, Agarwal P., Sahu D., Dashora A.
Geetanjali Institute of Pharmacy,
Udaipur Rajasthan, India
*bhavesh.joshi8@gmail.com

Abstract:
Antiaging is emerging class of cosmetics which combine the benefit of anti aging ingredients with the elegance skin feel and delivery system of cosmetics antioxidants, anti cellulites and anti microbial have been use in maintaining and enhancing human beauty. Anti aging ingredients also help to reduce the fine lines, increasing the moisture level and reduces wrinkles and puffness to keep the skin in good condition. New delivery system is a more effective solution for the skin aging resulting from photoaging. New vehicle like liposome and nanoparticles is a new generation for antioxidants with enhanced bioavailability and very stable activity. Our objective is to review present state of the art knowledge pertaining to mechanisms involved in skin aging, factor responsible for aging and various new ingredients use to treat aging defect.

Juggat Pharma, Pharmaceutical Division of Jagdale Industries Limited is one of the fastest growing and high performing pharmaceutical marketing company with a global presence based at Bangalore, Karnataka. We provide an ideal environment for highly qualified and committed professionals to pursue their career Under the expansion plan, we are looking for 'Marketing Professionals' in Gujarat/Rajasthan/Madhya Pradesh.

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About Author:
Patel Sanjay P
Sanjeevan College Of Pharmacy,
Behind Shyam Sarovar Township,
Jaipur-Agra Highway,Dausa-303303,Rajasthan
sanonly4frdz@gmail.com,sanjay_411987@yahoo.com

1.Abstract
Aceclofenac is a drug with narrow therapeutic index and short biological half-life, so can achieve steady state concentration rapidly. This study was aimed at developing and optimizing niosomal formulation of aceclofenac in order to improve its bioavailability as compare to liposomes.This niosome is prepared by modified ether injection technique. In this span 60 & span 20 is used as non ionic surfactants. Different 6 formulation are prepared, In this NFS-1 to 3 formulation are prepared using the span 60 & NFS-4 to 6 are prepared using span 20 along with different proportion of cholesterols. Because of the presence of nonionic surfactant with the lipid, there is better targeting of drugs to tumor, liver and brain. In evaluation study, the effect of the varying composition of non ionic surfactant and cholesterol on the properties such as drug entrapment efficiency, drug content, particle size & shape and drug release were studied. Moreover, the release of the drug was also modified and extended over a period of 72 h in all formulations. NSF-3 emerged as the most satisfactory formulation. Further, release of the drug from the most satisfactory formulation NSF-6 was evaluated through dialysis membrane to get the idea of drug release. The mechanism of dug release was governed by K- Peppas model. In all the niosomes prepared with spans, as the concentration of surfactant increased drug entrapment efficiency increased. Among the spans, span 60 having high phase transition temperature (gel to liquid transformation) and having critical packing parameter (CPP) ranging from 0.5 to 1 entrap drug molecule without any cholesterol. The only drawback of span 60 vesicles was rapid leakage of drug from the vesicle because of high phase transition temperature. In all the cases the best fit model was found to be Peppas with ‘n’ value between 0.65 to 0.73 suggesting the non fickian (anomalous) release mechanism for the drug i.e., erosion followed by diffusion controlled. Formulation NSF-6 showed high entrapment efficiency (96.07%±0.35), particle size (4.22±0.47μm) and drug release (87.21%) over 72 h. Hence it was considered to be good niosomal formulation with greater bioavailability.

About Authors:
Rakesh Bhatia*
School of Pharmaceutical Sciences,
Department of Pharmaceutical Chemistry,
Jaipur National University,
Jaipur-302025 (Rajasthan), India
*rakesh.mpharm1304@yahoo.com

Abstract
Chemical synthesis data and their biological screening have provided a vast amount of experimental data. As a result of that, availability of large amount of biological data information through molecular biology has made drug discovery and development a more complex method. To combat these problems, Quantitative structure-activity relationships (QSAR) emerged as a very useful tool in drug design. QSAR has been applied extensively and successfully over several decades to find predictive models for activity of bioactive agents. QSAR have brought revolution in drug discovery process by thedevelopment of mathematicalrelationships linking chemical structures and pharmacological activity in quantitative manner of series of compounds. Description of the molecular structure, electronic orbital reactivity and the role of structural and steric components has been the subject of mathematical and statistical analysis. Computational drug design method in QSAR is a rapidly growing field which is now a very important component in the discipline of medicinal chemistry. Virtual filtering and screening of combinatorial libraries have recently gained attention as methods complimenting the high-throughput screening and combinatorial chemistry. These chemoinformatic techniques rely heavily on quantitative structure-activity relationships (QSAR) analysis, a field with established methodology and successful history.By characterize a specific aspect of a molecule that is numbers containing structural information derived from the structural representation used for molecules under study called “Molecular descriptors” to find appropriate representations of the molecular structure of drug compoundsto obtain the structure-activity relationships in which these theoretical and computational methods are based, the ability to predict physicochemical, pharmacokinetic and toxicological properties of these leads are becoming increasingly important in reducing the number of expensive methods and late development failures. Thus thereby, QSAR certainly decreases the number of compounds to be synthesized by easing the selection of the most promising candidates. This review seeks to provide a review on role of molecular descriptors in the drug design in QSAR.

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