General Analytical Chemistry Book from C.H.I.P.S.

Quantification in
LC and GC

A Practical Guide to Good Chromatographic Data
edited by Stavros Kromidas

Closing a gap in the current literature by addressing the evaluation and quality assessment of raw data, Quantification in LC and GC is clearly divided into three parts.

The first part 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.


Part 1: Evaluation and Estimation of Chromatographic Data

1. Evaluating Chromatograms

  • Effciency
  • EMG Model
  • Chromatogram
  • Selectivity
2. Integration Parameters
  • Peak Recognition Methods
  • Integration and Integration Parameters
3. Integration Errors
  • What Does the Literature Say on Integration Errors?
  • Integration in Routine Practice
  • Chromatogram Simulation
4. Simulation of Chromatograms
  • Peak Simulation
  • The Baseline
  • The Chromatogram
  • Simple Retention Modeling and Teal Chromatograms
5. Integration of Asymmetric Peaks
  • The Valley Between Merged Peaks
  • Small Peak Between Larger Ones
  • Peak Pairs
  • Simulation of a Calibration
  • Exponential Skim
  • Integration of Merged Peaks
  • Integration of Daily Practice
6. Deconvolution
  • Influences of Deconvolution
  • Deconvolution of Gaussian-Shaped Peaks
  • Deconvolution of Peaks with Tailing
  • Deconvolution of Gradient Runs
  • Real Chromatogram
7. Interpretation of Chromatograms
  • Using the Peak Height
  • Evaluation
  • Calibration
8. General Interpretation of Analytical Data
  • (Normal) Distribution of Analytical Data
  • Problems of Prediction
  • Analytical Variability
  • Key Points
9. Metrological Aspects of Chromatographic Data Evaluation
  • Measurement Uncertainty
  • Traceability of Analytical Measurements
Part 2. Characterization of the Evaluation of Different Chromatographic Modes

10. Evaluation and Estimation of Chromatographic Data in GC

  • How Does GC Differ from HPLC?
  • Qualitative Analysis
  • GC-MS Coupling
  • Quantitative Analysis
  • Isotope Dilution Analysis (IDA) or Stable Isotope Dilution Analysis (SIDA)
  • Matrix Effects in Trace Analysis
  • Headspace-GC
  • Estimation of the Correction Factor with the FID
11. Data Evaluation
  • Influence of the Matrix in Chromatography
  • Internal Standards
  • Adjustments to the Mass Spectrometer
  • Evaluation Software
12. Evaluation of Chromatographic Data in Ion Chromatography
  • Eluents
  • The Water Dip the Solvent Peak in Ion Chromatography
  • Contaminants
  • Calibration Functions
13. Qualification of GPC/CFC/SEC Data and Results
  • Principles of GPC/SEC Data Processing
  • Guidelines, Standards and Requirements for GPC/SEC Data Processing
  • Validation and Tests for GPC/SEC Data Evaluation
  • Influence of Data Processing, Calibration Methods and Signal Quality on Accuracy and Precision of GPC/SEC Results
  • Influence of GPC/SEC specific Parameters on the Precision and Accuracy of GPC/SEC Results
Part 3. Requirements for Chromatographic Data Analysis from Viewpoint of Organisations and Public Authorities

14. The Science Behind the Pharmaceutical Regulatory Chromatographic Procedures

  • Instrument Qualification
  • Chromatographic Procedures
  • Method Design, Development and Validation
  • Compendial Procedures
15. Interpretation of Chromatographic Data According to the Pharmacopoeias Control of Impurities
  • Interpretation of Qualitative Data
  • Interpretation of Quantitative Data
16. Requirements of (Chromatographic) Data in Pharmaceutical Analysis
  • System Suitability Tests
  • Acceptance Limits for the Specification and Precision
  • Interpretation and Treatment of Analytical Data
17. Evaluation and Valuation of Chromatographic Data
  • The Situation or Why Does so Little Change?
  • How Can Something Change and When is it Really Necessary?
  • Who Can Change Something?

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Quantification in LC and GC
A Practical Guide to Good Chromatographic Data
edited by Stavros Kromidas

2009 358 pages $129.00 + shipping
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