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In den WarenkorbTaschenbuch. Zustand: Neu. Chemometric Tools for Simultaneous Estimation in Pharmaceuticals | Multivariate Techniques for Simultaneous Estimation | Ravindra K. Rawal (u. a.) | Taschenbuch | 88 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659646942 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Estimation of active pharmaceutical ingredient is very important because it helps us to know the actual amount of drug present in formulation as per the label claim. It can be achieved by various spectroscopic, chromatographic and hyphenated techniques. Simultaneous estimation of two or more than two drugs in single formulation can be better, cost effective and less time consuming method as compared to analyze drugs individually. In simultaneous estimation, all the active drug materials are determined by using single solvent system, at one time, single equipment and by one analyst also. The main problem in simultaneous estimation is the overlapping of responses of the drug material which is very difficult to resolve by simple conventional techniques. So to overcome these type of problems, chemometric tools has been introduced which can be easily resolve and extract the information from the data obtained by using various univariate or multivariate calibration and validation methods. 88 pp. Englisch.
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rawal Ravindra K.Dr. Ravindra K. Rawal obtained his Ph.D. from CDRI, Lucknow (CSIR, India) and has 6 years Postdoctoral Research experience (2007-2012), USA with an expertise in Medicinal Chemistry & Drug Discovery. Presently working.
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Estimation of active pharmaceutical ingredient is very important because it helps us to know the actual amount of drug present in formulation as per the label claim. It can be achieved by various spectroscopic, chromatographic and hyphenated techniques. Simultaneous estimation of two or more than two drugs in single formulation can be better, cost effective and less time consuming method as compared to analyze drugs individually. In simultaneous estimation, all the active drug materials are determined by using single solvent system, at one time, single equipment and by one analyst also. The main problem in simultaneous estimation is the overlapping of responses of the drug material which is very difficult to resolve by simple conventional techniques. So to overcome these type of problems, chemometric tools has been introduced which can be easily resolve and extract the information from the data obtained by using various univariate or multivariate calibration and validation methods.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing, 2014
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Estimation of active pharmaceutical ingredient is very important because it helps us to know the actual amount of drug present in formulation as per the label claim. It can be achieved by various spectroscopic, chromatographic and hyphenated techniques. Simultaneous estimation of two or more than two drugs in single formulation can be better, cost effective and less time consuming method as compared to analyze drugs individually. In simultaneous estimation, all the active drug materials are determined by using single solvent system, at one time, single equipment and by one analyst also. The main problem in simultaneous estimation is the overlapping of responses of the drug material which is very difficult to resolve by simple conventional techniques. So to overcome these type of problems, chemometric tools has been introduced which can be easily resolve and extract the information from the data obtained by using various univariate or multivariate calibration and validation methods.