HPLC

Validation of HPLC-UV method for determination of amoxicillin Trihydrate in capsule

Published on: 4th October, 2018

OCLC Number/Unique Identifier: 7877914513

The intention of the present work is to validate an easy, better and reasonable approach for estimation of amoxicillin trihydrate in tablet formulation by opposite segment(reverse phase) HPLC –UV with advanced conditions and parameters for habitual use in Rwanda well known board in pharmaceutical laboratory in order to check if no substandard or counterfeit amoxicillin has entered in our country that can result in antimicrobial resistance, treatment failure which can be a chief difficulty on public health. an easy, selective, precise, speedy, specific, and correct reverse phase HPLC UV-seen technique has been verified for the dedication of amoxicillin, in addition that is a cost-effective technique for the established method, monobasic potassium phosphate (KH2PO4) used as buffer and methanol and had been used as a mobile section in the ratio 95:5 respectively. The elution turned into finished in an isocratic mode at a go with the flow rate of 1.5ml/minute proposed method became demonstrated as according to ICH guiding principle refereeing additionally to USP necessities for amoxicillin capsule. linearity range of amoxicillin and was evaluated inside the variety of 20–160 g/ml. the correlation coefficient r2 changed into 0.9998 and the relative well known deviation between six replicates injection was always much less than 2%. The retention time was found 3.5±0.02. the high percentage of healing of amoxicillin is 100.6±4% indicates that the proposed method is exceptionally correct and precise trueness of with the trueness of 100.06±1.2% .the statistical evaluation proved that the demonstrated method is appropriate for analysis of amoxicillin as the majority drug and pharmaceutical formula with none interference from excipients .with the aid of considering the efficiency of the drug samples, all analyzed pattern were within the variety of 90-120 % of percentage of labeled amount, but the efficiency had been distinctive amongst samples. The have a look at located that no counterfeit, no substandard product turned into amongst all batches of amoxicillin samples throughout the c programming language of the look at.
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Overview on liquid chromatography and its greener chemistry application

Published on: 7th April, 2021

OCLC Number/Unique Identifier: 9026744044

This literature review is concerning with liquid chromatography specifically high performance liquid chromatography (HPLC), Ultra high performance liquid chromatography (UHPLC), chromatography theory, chromatographic parameters, monolithic columns, principles of green chemistry and its application ingreen chromatography.
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Stepwise regression modeling on the monitoring of separation of Salvianolate through macroporous resin chromatographic column using UV spectral data

Published on: 17th February, 2019

OCLC Number/Unique Identifier: 7991709232

Aim: Study the monitoring method of separation of Salvianolate through macroporous resin chromatographic column using UV spectral data. Method: HPLC was used to determine the concentration of Salviol B in the eluent liquid of macroporous resin chromatographic column. The UV spectrum of the eluent liquid was measured using portable UV spectrometer. Stepwise regression was used to develop the model to predict the concentration of Salviol B in the eluent liquid of macroporous resin chromatographic column using the UV spectral data. Result: Stepwise regression model was developed to predict the concentration of Salviol B in the eluent liquid of macroporous resin chromatographic column. RMSE was 0.3263, MAP was 0.2323 and CV was 0.1796. Conclusion: Stepwise regression model could be used to predict the concentration of Salviol B in the eluent liquid of macroporous resin chromatographic column using UV spectral data
Cite this ArticleCrossMarkPublonsHarvard Library HOLLISGrowKudosResearchGateBase SearchOAI PMHAcademic MicrosoftScilitSemantic ScholarUniversite de ParisUW LibrariesSJSU King LibrarySJSU King LibraryNUS LibraryMcGillDET KGL BIBLiOTEKJCU DiscoveryUniversidad De LimaWorldCatVU on WorldCat