Exploration of Partial least square regression in Nanoemulsion - Couverture souple

Patel, Asha

 
9783659876820: Exploration of Partial least square regression in Nanoemulsion
Couverture souple
ISBN 10 : 3659876828 ISBN 13 : 9783659876820
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

QUALITY BY DESIGN- CONCEPT FOR DRUG PRODUCT DEVELOPMENT Multivariate data analysis (MVDA) is a form of statistics that helps to understand the relationships between variables, observations, and their relevance to each other using Principal component analysis (PCA) as well as relationships between independent variables and responses using Partial least squares (PLS).When coupled with process knowledge and criticality understanding, PLS and /PCA models can be used to construct multivariate statistical process control (MSPC) charts in order to identify deviations from targeted behavior. Criticality is determined by assessing the magnitude of impact a variable (parameter/ material attribute) has on a response (CQA). Hence, relationship between the parameter and CQA need to understand. MVDA uses established algorithms to create linear models comprising an approximation function and level of concomitant noise. MVDA models are designed to assess and ensure that progression of product is evolving within the defined design space during processing, thereby ultimately yielding material meeting predefined critical quality attributes. With this methodology, the process parameters are summarize

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Présentation de l'éditeur

QUALITY BY DESIGN- CONCEPT FOR DRUG PRODUCT DEVELOPMENT Multivariate data analysis (MVDA) is a form of statistics that helps to understand the relationships between variables, observations, and their relevance to each other using Principal component analysis (PCA) as well as relationships between independent variables and responses using Partial least squares (PLS).When coupled with process knowledge and criticality understanding, PLS and /PCA models can be used to construct multivariate statistical process control (MSPC) charts in order to identify deviations from targeted behavior. Criticality is determined by assessing the magnitude of impact a variable (parameter/ material attribute) has on a response (CQA). Hence, relationship between the parameter and CQA need to understand. MVDA uses established algorithms to create linear models comprising an approximation function and level of concomitant noise. MVDA models are designed to assess and ensure that progression of product is evolving within the defined design space during processing, thereby ultimately yielding material meeting predefined critical quality attributes. With this methodology, the process parameters are summarize

Biographie de l'auteur

Dr. Asha has area of expertise in Development and Characterization of Nano-colloidal, nanomicelles, niosomes, polymeric nanoparticles, nanosuspension for oral, ocular, topical drug delivery system for therapeutic application. her Ph.D. research project on nanoemulsion as drug delivery tool for bioavailability enhancement.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659876828
ISBN 13 
9783659876820
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
Personne responsable
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