1.

Record Nr.

UNINA9910144004603321

Autore

Kandel Heinz G

Titolo

Verfahrenstechnische Methoden in der Wirkstoffherstellung [[electronic resource] ] : Tipps und Tricks / / Heinz G. Kandel

Pubbl/distr/stampa

Weinheim [Germany], : Wiley-VCH, 2006

ISBN

3-527-66042-9

1-280-66314-6

9786613640079

3-527-66096-8

3-527-60780-3

Edizione

[1. Aufl.]

Descrizione fisica

1 online resource (202 p.)

Disciplina

615.19

615/.19

Soggetti

Pharmaceutical industry

Drugs - Design

Drug factories

Electronic books.

Lingua di pubblicazione

Tedesco

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"Inkl. CD-ROM."

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Title Page; Inhaltsverzeichnis; Vorwort; 1 Einleitung; 2 Der Rohstoff: Blut, Blutplasma [1]; 3 Besondere Spezifitaumalten fuumalr die Verfahrenstechnik; 3.1 Molekuumallgroumalbe und Struktur; 3.2 Anzahl der Prozessstufen; 3.3 Analytik, Messmethoden; 3.4 Zulassungsproblematik; 4 Blutplasmafraktionierung; 4.1 Beschreibung des Prozesses; 4.1.1 Kryogewinnung; 4.1.2 Faumalllungsschritte; 4.1.3 Adsorptionsschritte; 4.1.4 Reinigung der Proteine, Bulkherstellung, Abfuumalllung, Gefriertrocknung; 4.2 Verfahrenstechnische Gesichtspunkte; 4.2.1 Behaumallter und Ruumalhrwerke

4.2.1.1 Allgemeine Ausruumalstung, Spezifikation4.2.1.2 Funktionstypicals; 4.2.1.3 Ruumalhrwerke; 4.2.1.4 Spezielle Einsatzfaumallle fuumal r Behaumallter; 4.2.2 Fest-Fluumalssig-Trennung; 4.2.2.1 Separatoren, Zentrifugen; 4.2.2.2 Filter; 4.2.3 Pumpen; 4.2.3.1 Kreiselpumpe; 4.2.3.2 Kolbenpumpe und Membrankolbenpumpe; 4.2.3.3 Kreiskolbenpumpe; 4.2.3.4



Schlauchpumpe; 4.2.4 Rohrleitungen, Ventile, Verbindungstechnik; 4.2.4.1 Rohrleitungen; 4.2.4.2 Schweibverbindungen; 4.2.4.3 Verbindungstechnik; 4.2.4.4 Ventiltechnik; 4.2.4.5 Messtechnik; 4.2.5 Membrantrennverfahren [10, 11]

6.5 Scale-up von Zentrifugen aus Laboroder Produktionslaumalufen6.6 Schubspannungen in Rohrleitungen; 6.7 Scale-up von Ultrafiltrationskassetten; 6.8 Scale-up von Filtern; 6.9 Berechnung der maximal moumalglichen Dosiergeschwindigkeiten von Aumalthanol bei der Faumalllung; 6.10 Schnelle Dimensionierung eines Behaumallters; 6.11 Instationaumalre Aufheizund Abkuumalhlvorgaumalnge in einem Ruumalhrbehaumallter; 6.12 Temperierung eines Behaumallters durch externen Produktkreislauf; 6.13 Temperierung eines Behaumallters mittels eines Waumalrmetraumalgerkreislaufes

6.14 Waumalrmeverlust einer isolierten Rohrleitung

Sommario/riassunto

Bei der Herstellung von pharmakologischen Wirkstoffen kommen eine Vielzahl verfahrenstechnischer Grundoperationen zur Anwendung. Dies sind beispielsweise Zentrifugation, Filtration und Ultrafiltration, Chromatographie und Gefriertrocknung. Insbesondere zur Herstellung von Produkten aus Blutplasma gelten besondere Anforderungen wie Steril- und Reinraumtechnik und schonende Weiterverarbeitung. Das vorliegende Buch gibt einen praktischen Überblick über verfahrenstechnische Methoden und bewährte Lösungen in der pharmazeutischen Wirkstoffherstellung und beschreibt erstmals die Besonderheiten und ve



2.

Record Nr.

UNINA9910829979303321

Autore

Zelterman Daniel

Titolo

Discrete distributions [[electronic resource] ] : applications in the health sciences / / Daniel Zelterman

Pubbl/distr/stampa

Hoboken, NJ, : John Wiley, 2004

ISBN

1-280-23879-8

9786610238798

0-470-34589-6

0-470-86890-2

0-470-86889-9

Descrizione fisica

1 online resource (307 p.)

Collana

Wiley series in probability and statistics

Disciplina

519.24

519.2402461

610/.1/5118

Soggetti

Medical sciences - Mathematics

Medical sciences - Mathematical models

Medicine - Mathematics

Distribution (Probability theory)

Probabilities

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (p. 267-272) and index.

Nota di contenuto

Discrete Distributions; Contents; Preface; Acknowledgements; About the Author; 1 Introduction; 1.1 Discrete Distributions in General; 1.2 Multivariate Discrete Distributions; 1.3 Binomial Distribution; 1.4 The Multinomial Distribution; 1.5 Poisson Distribution; 1.6 Negative Binomial Distribution; 1.7 Hypergeometric Distribution; 1.7.1 Negative hypergeometric distribution; 1.7.2 Extended hypergeometric distribution; 1.8 Stirling's Approximation; 2 Maximum Negative Binomial Distribution; 2.1 Introduction; 2.1.1 Outfitting the ark; 2.1.2 Medical screening application; 2.2 Elementary Properties

2.2.1 Shapes of the distribution2.2.2 Moments of the distribution; 2.2.3 Modes of the distribution; 2.3 Asymptotic Approximations; 2.3.1 Large values of c and p 1/2; 2.3.2 Large values of c and p = 1/2; 2.3.3



Extreme values of p; 2.4 Estimation of p; 2.4.1 The likelihood function; 2.4.2 The EM estimate; 2.4.3 A Bayesian estimate of p; 2.5 Programs and Numerical Results; 2.6 Appendix: The Likelihood Kernel; 3 The Maximum Negative Hypergeometric Distribution; 3.1 Introduction; 3.2 The Distribution; 3.3 Properties and Approximations; 3.3.1 Modes of the distribution; 3.3.2 A gamma approximation

3.3.3 A half-normal approximation3.3.4 A normal approximation; 3.4 Estimation; 3.5 Appendix; 3.5.1 The half-normal approximation; 3.5.2 The normal approximate distribution; 4 Univariate Discrete Distributions for Use with Twins; 4.1 Introduction; 4.2 The Univariate Twins Distribution; 4.3 Measures of Association in Twins; 4.4 The Danish Twin Registry; 4.4.1 Estimate of the effect; 4.4.2 Approximations; 4.5 Appendix; 4.5.1 The univariate twins distribution; 4.5.2 Approximating distributions; 4.6 Programs for the Univariate Twins Distribution; 5 Multivariate Distributions for Twins

5.1 Introduction5.2 Conditional Distributions; 5.2.1 Univariate conditional distribution; 5.2.2 Conditional association measure; 5.3 Conditional inference for the Danish twins; 5.4 Simultaneous Multivariate Distributions; 5.5 Multivariate Examination of the Twins; 5.6 Infinitesimal Multivariate Methods; 5.6.1 Models with no dependence; 5.6.2 Models for dependence; 5.6.3 The infinitesimal data; 5.7 Computer Programs; 5.7.1 Conditional distribution and association models in SAS; 5.7.2 Fortran program for multivariate inference; 6 Frequency Models for Family Disease Clusters; 6.1 Introduction

6.1.1 Examples6.1.2 Sampling methods employed; 6.1.3 Incidence and clustering; 6.2 Exact Inference Under Homogeneous Risk; 6.2.1 Enumeration algorithm; 6.2.2 Ascertainment sampling; 6.3 Numerical Examples; 6.3.1 IPF in COPD families; 6.3.2 Childhood cancer syndrome; 6.3.3 Childhood mortality in Brazil; 6.3.4 Household T. cruzi infections; 6.4 Conclusions; 6.5 Appendix: Mathematical Details; 6.5.1 The distribution of family frequencies; 6.5.2 A model for covariates; 6.5.3 Ascertainment sampling; 6.6 Program for Exact Test of Homogeneity; 7 Sums of Dependent Bernoulli's and Disease Clusters

7.1 Introduction

Sommario/riassunto

There have been many advances in the theory and applications of discrete distributions in recent years. They can be applied to a wide range of problems, particularly in the health sciences, although a good understanding of their properties is very important. Discrete Distributions: Applications in the Health Sciences describes a number of new discrete distributions that arise in the statistical examination of real examples. For each example, an understanding of the issues surrounding the data provides the motivation for the subsequent development of the statistical models.Provid