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Chromatography Quantification Techniques
(Integrating and Calibrating)

This seminar covers two very important steps in the generation of analytical data:

  • Integration of chromatographic peaks
  • Design and use of analytical calibration systems (i.e., calibration curves)

We have combined two of our most popular seminars (Integrating Chromatographic Peaks and Analytical Calibration Techniques) into a full day of training that you can't find anywhere else.

Most analysts get little training about how to properly integrate chromatographic peaks, how to set up a calibration curve, or how to interpret the results. Laboratory Quantification Techniques will help eliminate these issues, and the associated errors, from your laboratory! See the individual course descriptions for more information.

There isn't any other single reference source that can provide this much information and guidance in such a short time! We have distilled years of experience into a practical presentation that will make a difference in the quality of data generated by your laboratory!

Students will learn about:

  • Peak Integration
    • How chromatographic integrators work
    • Ways to integrate poorly resolved chromatographic peaks
    • Errors associated with different integration options
  • Analytical Calibration Techniques
    • The fundamentals of linear regression
    • Different options for preparing data
    • What calibration options are available
    • Why the correlation coefficient is not a good measure of calibration quality
    • Simple procedures and tests for evaluating calibration data


  • Peak Integration
    • Integration Basics
      • Resolution, Analog and Digital Signals, Peak Detection Algorithms
      • Integration Settings and Parameters
    • Integration Options
      • Perpendicular Drop, Valley-to-Valley, Shoulders
    • Structured Examples
    • Peak Modeling Using Suggestions from Students
  • Analytical Calibration Techniques
    • Linear Regression Basics
    • Data Transformations
      • External Standard Method
      • Internal Standard Method
      • Isotope Dilution
    • Selecting Calibration Levels
      • How many levels are needed and how should they be spaced?
    • Calibration Options
      • Single Point
      • Response Factor/Average Response Factor
      • Linear Through Zero
      • Linear With Intercept
      • Method of Standard Additions
      • 2nd Order Polynomial
    • Evaluation of Data
      • Correlation Coefficient
      • Analysis of Residuals
      • Zero Intercept Test
    • Evaluating Real World Data Sets
Course Length: 1 day

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This page last updated October, 2007.