Overview
- Authors:
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Liang-tseng Fan
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Department of Chemical Engineering, Kansas State University, Manhattan, USA
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Satish Kumar Singh
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Kabi Pharma, Solna, Sweden
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Table of contents (7 chapters)
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- Liang-tseng Fan, Satish Kumar Singh
Pages 1-8
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- Liang-tseng Fan, Satish Kumar Singh
Pages 9-88
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- Liang-tseng Fan, Satish Kumar Singh
Pages 89-109
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- Liang-tseng Fan, Satish Kumar Singh
Pages 110-156
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- Liang-tseng Fan, Satish Kumar Singh
Pages 157-166
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- Liang-tseng Fan, Satish Kumar Singh
Pages 167-224
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- Liang-tseng Fan, Satish Kumar Singh
Pages 225-226
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Back Matter
Pages 227-233
About this book
The concept of controlled release has attracted increasing attention over the last two decades, with the applications of this technology proliferating in diverse fields in cluding medicine, agriculture and biotechnology. Research and developmental efforts related to controlled release are multiplying in both industry and academia. The reason for this phenomenal growth is obvious. The use of a variety of biologically active agents, such as drugs, fertilizers and pesticides, has become an integral part of modern society. Along with the use of these reagents has evolved an awareness that their uncontrolled application almost inevitably induces harmful effects on the health of humans and their surrounding environments. To eliminate or minimize these harmful effects necessitates the controlled release of these chemicals. Moreover, the controlled release of substances, not usually considered toxic or hazardous, e.g., some catalysts and nutrients, can enhance their effectiveness. The numberand variety of controlled release systems, differing in their physical and chemical makeup, are increasing rapidly. Proliferation almost always demands correlation, generalization and unification; it requires both the development of underlying theories of their behavior and the mechanistic interpretation of their performance. This, in turn, requires a statistical and mathematical (quantitative) treatment of the scientific information and technical data pertaining to them. A quantitative treatment can also facilitate the formulation of procedures for computer-aided design of these systems through a priori prediction of their per formance for a variety of design parameters.
Authors and Affiliations
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Department of Chemical Engineering, Kansas State University, Manhattan, USA
Liang-tseng Fan
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Kabi Pharma, Solna, Sweden
Satish Kumar Singh
