An influence of lyophilization on praziquantel loaded nanosponge's by using food protein as a stabilizer with effect of statistical optimization
Nanosponge of different ratios were prepared by emulsion solvent diffusion method by using ethyl cellulose (X1) and PVA / whey protein was used as polymers, dichloromethane (DCM) (X2) as a solvent and Stirring speed (X3) maintained for different batches. Furthermore, an optimal batch was selected fr...
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Veröffentlicht in: | Research journal of pharmacy and technology 2020-09, Vol.13 (9), p.4491-4498 |
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creator | Bagade, Om M. Dhole, Shashikant N. Chaudhari, Praveen D. |
description | Nanosponge of different ratios were prepared by emulsion solvent diffusion method by using ethyl cellulose (X1) and PVA / whey protein was used as polymers, dichloromethane (DCM) (X2) as a solvent and Stirring speed (X3) maintained for different batches. Furthermore, an optimal batch was selected from eight formulations by using 23factorial design and evaluated for bulk density, tapped density, angle of repose, compressibility Index, Carr's index, dissolution studies, Entrapment efficiency, production yield, compatibility studies, powder x-ray diffraction (P-XRD), Differential scanning colorimetric (DSC), particle size analysis etc. [...]nanosponge formulation using a variety of polymers was found to be a good alternative approach for increasing the dissolution rate of Praziquantel. Freeze dried -20°C for 24 hrs and stored in ambient temperature until further use. 23 factorial design: 23 factorial design which consist of the Ethyl cellulose (X1), dichloromethane (X2) and stirring speed (X3) was considered as independent variable while Particle size, % cumulative drug release and drug loading was considered as dependent variables. |
doi_str_mv | 10.5958/0974-360X.2020.00792.1 |
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Freeze dried -20°C for 24 hrs and stored in ambient temperature until further use. 23 factorial design: 23 factorial design which consist of the Ethyl cellulose (X1), dichloromethane (X2) and stirring speed (X3) was considered as independent variable while Particle size, % cumulative drug release and drug loading was considered as dependent variables.</description><subject>Bioavailability</subject><subject>Cellulose</subject><subject>Drug delivery systems</subject><subject>Drugs</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Particle size</subject><subject>Polymers</subject><subject>Polyvinyl alcohol</subject><subject>Proteins</subject><subject>Spectrum analysis</subject><subject>Variables</subject><issn>0974-3618</issn><issn>0974-360X</issn><issn>0974-306X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNo9UctqwzAQNKWFhjS_UAQ99BRXL8v2MYS-INBLC70JWV4lCo7kWDIl-Yp-cu0mZFnYhRl2lpkkuSc4zcqseMJlzudM4O-UYopTjPOSpuQqmVyA68tOittkFsIWDyWKjPJikvwuHLLOND04Dcgb1Bx8u7GNPapovUNDt5062n2vXIQGNV7VUCOnnA-td2t4DKg6oD5Yt0bG-3qg-wjWIRWQQiGqajwGHfqxcYPAGNBx1BmQaEO0WjXIt9Huzop3yY1RTYDZeU6Tr5fnz-XbfPXx-r5crOaa0ILNNTBdUKFKynVZ1KbmBccEK6aIoZRlJeGCC4qritQaKBeCMsYIJRnUOQBn0-ThdHf4d99DiHLr-84NkpJyTrKc5zkbWOLE0p0PoQMj287uVHeQBMsxADl6K0ef5RiA_A9AEvYHiPd7bQ</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Bagade, Om M.</creator><creator>Dhole, Shashikant N.</creator><creator>Chaudhari, Praveen D.</creator><general>A&V Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>04Q</scope><scope>04S</scope><scope>04W</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20200901</creationdate><title>An influence of lyophilization on praziquantel loaded nanosponge's by using food protein as a stabilizer with effect of statistical optimization</title><author>Bagade, Om M. ; 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Furthermore, an optimal batch was selected from eight formulations by using 23factorial design and evaluated for bulk density, tapped density, angle of repose, compressibility Index, Carr's index, dissolution studies, Entrapment efficiency, production yield, compatibility studies, powder x-ray diffraction (P-XRD), Differential scanning colorimetric (DSC), particle size analysis etc. [...]nanosponge formulation using a variety of polymers was found to be a good alternative approach for increasing the dissolution rate of Praziquantel. Freeze dried -20°C for 24 hrs and stored in ambient temperature until further use. 23 factorial design: 23 factorial design which consist of the Ethyl cellulose (X1), dichloromethane (X2) and stirring speed (X3) was considered as independent variable while Particle size, % cumulative drug release and drug loading was considered as dependent variables.</abstract><cop>Raipur</cop><pub>A&V Publications</pub><doi>10.5958/0974-360X.2020.00792.1</doi><tpages>8</tpages></addata></record> |
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subjects | Bioavailability Cellulose Drug delivery systems Drugs NMR Nuclear magnetic resonance Particle size Polymers Polyvinyl alcohol Proteins Spectrum analysis Variables |
title | An influence of lyophilization on praziquantel loaded nanosponge's by using food protein as a stabilizer with effect of statistical optimization |
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