Overview: This presentation will provide an overview of the rules and assumptions behind the calibration of analytical instruments.
We will discuss how external standard, internal standard, and isotope dilution methods are designed, and learn the situations where each technique is the best option. Whether you use single point calibration, or linear regression, we will discuss the strengths and weaknesses of each approach. If you must generate and evaluate calibration "curves" we will show you why the correlation coefficient is only one option for the evaluation, and why sometimes it can give a false indication of the curve fit. Finally, we can illustrate these concepts by examining several real-world data sets from a variety of different analytical instruments.
Why should you attend: Everyone who works with analytical data is working with a calibrated measurement system. However, few people really understand the principles and assumptions behind the calibration methods used for their instruments. As a result, we often make mistakes, generate poor quality data, or perform additional experiments that do not improve the quality of our data. This presentation will help to eliminate these problems.
Areas Covered in the Session: - Calibration Basics
- Types of Calibration - External standard, Internal standard, etc.
- Calibration Options - Response factor methods, Linear regression
- Evaluation of Data - Three tools for evaluating regression data
- Discussion using real-world data sets
Who Will Benefit: - Method Development and Lab staff
- Auditors
- Supervisors
- Managers
