Skip to content
Home/ Modern Pharmaceutical Analytical Techniques
Modern Pharmaceutical Analytical Techniques

Modern Pharmaceutical Analytical Techniques

No customer reviews yet ISBN 9789348734815

"Modern Pharmaceutical Analytical Techniques"

A Comprehensive Guide to Instrumental Methods

Discover the latest developments in pharmaceutical analysis with this authoritative textbook.

Key Features:

] In-depth exploration of spectroscopic and chromatographic techniques

] Practical guidance on instrumental methods for drug testing

] Qualitative and quantitative drug analysis

] Coverage of XVII essential analytical techniques (UV, chromatography, electrophoresis, RIA, ELISA, etc.)

] Enhanced understanding through diagrams, flow sheets, and practice questions

] Benefits undergraduate and postgraduate students, academics, and researchers in pharmacy and related disciplines

Develop a strong foundation in pharmaceutical analysis with this invaluable resource.

About the author

Product details

Pub dateNov 1, 2025
ISBN-109348734814
ISBN-139789348734815
LanguageEnglish
Last updated 2026-09-07 16:18
$59.44 $80.00 25% off
You save $20.56 · list price $80.00
In stock — ships in 24 hours with free tracking
Delivery by Wednesday, September 30, 2026
Qty
Sign in to Add to Saved list
Free delivery on orders over $35.
15-day returns. Any reason.
Secure checkout. We never store card details.

Readers who bought this also bought

More from Technology & Engineering | Pharmaceutical
See all
Computer Simulations in the Pharmaceutical Industry: Volume 1
<p>The application of computational modeling and simulation has extended beyond PK/PD prediction of clinical trial outcomes by defining regulatory strategy as well as optimization of therapeutic candidates. Further, regulatory agencies are accepting modeling and simulation for approval in special populations, drug-drug interactions, and dosing regimen changes. This volume provides a comprehensive coverage of drug design, chemoinformatics, molecular modeling, and computer-aided formulation development. Computer simulations play a crucial role in the pharmaceutical industry, accelerating drug discovery and development by predicting drug behavior and optimizing systems, thus reducing the need for animal testing.</p><p><b>Key Features</b></p><ul> <li>Illustrates how computer simulations play a crucial role in the pharmaceutical industry, accelerating drug discovery and development.</li> <li>PK/PD simulations play a crucial role in optimizing dosing regimens and understanding the time course of drug effects.</li> <li>Depicts the role of computers in drug research development, both in clinical and preclinical stage by citing examples of approved FDA drugs.</li> <li>Provides case studies detailing the step-by-step process for using software such as Python for programming in the pharmaceutical industry&#x3b; Gromacs, DataWarrior, AutoDock and Biovia.</li> <li>Discusses how artificial intelligence and machine learning can be used to optimize and refine simulation models.</li> </ul>
$73.06
Computer Simulations in the Pharmaceutical Industry: Volume 1
<p>The application of computational modeling and simulation has extended beyond PK/PD prediction of clinical trial outcomes by defining regulatory strategy as well as optimization of therapeutic candidates. Further, regulatory agencies are accepting modeling and simulation for approval in special populations, drug-drug interactions, and dosing regimen changes. This volume provides a comprehensive coverage of drug design, chemoinformatics, molecular modeling, and computer-aided formulation development. Computer simulations play a crucial role in the pharmaceutical industry, accelerating drug discovery and development by predicting drug behavior and optimizing systems, thus reducing the need for animal testing.</p><p><b>Key Features</b></p><ul> <li>Illustrates how computer simulations play a crucial role in the pharmaceutical industry, accelerating drug discovery and development.</li> <li>PK/PD simulations play a crucial role in optimizing dosing regimens and understanding the time course of drug effects.</li> <li>Depicts the role of computers in drug research development, both in clinical and preclinical stage by citing examples of approved FDA drugs.</li> <li>Provides case studies detailing the step-by-step process for using software such as Python for programming in the pharmaceutical industry&#x3b; Gromacs, DataWarrior, AutoDock and Biovia.</li> <li>Discusses how artificial intelligence and machine learning can be used to optimize and refine simulation models.</li> </ul>
$243.54