By Jelena Djuris
This e-book serves to supply a few worthwhile info at the heritage of assorted computer-aided instruments, in addition to illustrative examples in their software in pharmaceutical know-how. Chapters disguise tools similar to experimental layout, multivariate research (chemometric tools), neural computing, computer-aided biopharmaceutic type, and computational fluid dynamics.
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Extra resources for Computer-aided applications in pharmaceutical technology
G. material attributes) and process parameters that have been demonstrated to provide assurance of quality is denoted as the design space. The emphasis of the ICH Q8 guideline is to shift pharmaceutical product development from the empirical, trial-and-error approach, to the scientifically based process of design space appointment. Definition of design space also requires implementation of various risk management tools, as well as definition of specifications and manufacturing controls. 1 shows a diagram of a QbD approach, combining design space development and risk management tools.
9% was estimated, depending on the output critical values used for the classification. The low error rate demonstrated the success in employing ANNs to predict phase behavior of quaternary systems. The fundamental goal in SMEDDS development is to optimize the surfactant/cosurfactant/oil mixture, in order to achieve sufficient drug solubility and infinite dilutability with water phase. , 2010). The study of Mendyik and Jachowicz (2006) describes the development of the system 24 Published by Woodhead Publishing Limited, 2013 Computer-aided formulation development of 11 ANN models suitable for further prediction of phase behavior of microemulsion-forming systems analyzing only the properties and contents of the components.
2008). The pioneer studies of Richardson et al. (1996, 1997) demonstrated the use of ANNs to identify the physicochemical properties of the cosurfactant with relevance for microemulsion formation in the four-component system lecithin, (surfactant)/isopropyl myristate (oil)/triple distilled water/cosurfactant. e. short- and medium-chain alcohols, amines, acids, and ethylene glycol monoalkyl ethers) were employed. The BP feed-forward algorithm of learning and four computed cosurfactant molecule properties (molecular volume (v), areas for its head group (aψ) and hydrophobe (aφ), and computed octanol/water logP value), were selected.