About this product

Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-103527323015

ISBN-139783527323012

eBay Product ID (ePID)71182913

Product Key Features

Number of Pages376 Pages

LanguageEnglish

Publication NameQuantification in Lc and Gc : a Practical Guide to Good Chromatographic Data

Publication Year2009

SubjectChemistry / Analytic

TypeTextbook

Subject AreaScience

AuthorHans -Joachim Kuss

FormatHardcover

Dimensions

Item Height0.9 in

Item Weight30.4 Oz

Item Length9.6 in

Item Width7 in

Additional Product Features

Intended AudienceScholarly & Professional

Dewey Edition22

Reviews"Written with the practitioner in mind, the text not only teaches the mathematical basics but also provides invaluable advice." (Chemistry Journals, 11 April 2011) "Quantification in LC and GC: A practical guide to good chromatographic data is a unique book that deals in depth with the integration programs running in modern data processors in chromatographic systems. It provides a systematic understanding of the data processing and evaluation that should be necessary in all laboratories working on quality control and data validation." (Zentralblatt Math, 2010) "To summarize, this is a valuable book, somewhat spoiled by poor copy editing, I nevertheless recommend it to chromatographers and, indeed, to any serious analyst." (Chromatographia, 1 December 2010) "Quantification in LC and GC: A practical guide to good chromatographic data is a unique book that deals in depth with the integration programs running in modern data processors in chromatographic systems. It provides a systematic understanding of the data processing and evaluation that should be necessary in all laboratories working on quality control and data validation." ( Analytical and Bioanalytical Chemistry , Jan - June 2010)

Number of Volumes1 vol.

IllustratedYes

Dewey Decimal543.84

Table Of ContentEVALUATION AND ESTIMATION OF CHROMATOGRAPHIC DATA Evaluating Chromatograms (Hans-Joachim Kuss and Daniel Stauffer) Integration Parameters (Daniel Stauffer and Hans-Joachim Kuss) Integration Errors (Hans-Joachim Kuss) Simulation of Chromatograms (Uwe Neue) Integration of Asymmetric Peaks (Hans-Joachim Kuss) Deconvolution (Mike Hillebrand) General Interpretation of Analytical Data (Joachim Ermer) Metrological Aspects of Chromatographic Data Evaluation (Ulrich Panne) CHARACTERIZATION OF THE EVALUATION OF DIFFERENT CHROMATOGRAPHIC MODES Evaluation and Estimation of Chromatographic Data in GC (Werner Engewald) Data evaluation in LC-MS (Hartmut Kirchherr) Evaluation of Chromatography Data in Ion Chromatography (Heiko Herrmann and Detlef Jensen) Qualification of GPC/GFC/SEC Data and Results (Daniela Held and Peter Kilz) REQUIREMENTS FOR CHROMATOGRAPHIC DATA ANALYSIS FROM THE VIEWPOINT OF ORGANISATIONS AND PUBLIC AUTHORITIES The Science Behind the Pharmaceutical Regulatory Chromatographic Procedures (Linda Ng) Interpretation of Chromatographic Data According to the Pharmacopoeias-Control of Impurities (Ulrich Rose) Requirements of (Chromatographic) Data in Pharmaceutical Analysis (Joachim Ermer) Evaluation and Valuation of Chromatographic Data (Stavros Kromidas)

SynopsisClosing a gap in the current literature by addressing the evaluation and quality assessment of raw data, this practice-oriented guide is clearly divided into three parts. The first describes basic considerations of chromatographic data quality, common errors and potential pitfalls in reading out and quantifying the data. Part two systematically covers the most important chromatographic methods as well as the specific requirements for obtaining good chromatographic data. The final part looks at data quality from the perspective of those regulatory authorities demanding certain standards in data quality, describing in detail best practices. Written with the practitioner in mind, the text not only teaches the mathematical basics but also provides invaluable advice., C losing a gap in the current literature by addressing the evaluation and quality assessment of raw data, this practice-oriented guide is clearly divided into three parts. The first describes basic considerations of chromatographic data quality, common errors and potential pitfalls in reading out and quantifying the data. Part two systematically covers the most important chromatographic methods as well as the specific requirements for obtaining good chromatographic data. The final part looks at data quality from the perspective of those regulatory authorities demanding certain standards in data quality, describing in detail best practices. Written with the practitioner in mind, the text not only teaches the mathematical basics but also provides invaluable advice., Closing a gap in the current literature by addressing the evaluation and quality assessment of raw data, this practice-oriented guide is clearly divided into three parts. The first describes basic considerations of chromatographic data quality, common errors and potential pitfalls in reading out and quantifying the data.

LC Classification NumberQD79.C4