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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
Outline
- 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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