COURSE OVERVIEW
Who is this course for?
This course is relevant to anyone involved in the generation or review of data associated with instrumental analytical chemical techniques such as HPLC, GC, mass spec, molecular and atomic spectroscopy.
Previous Knowledge
Good knowledge of chromatography and associated data.
What you will learn
- Basic proportional calculations and unit conversions
- Methods of standardising calibrations
- Methods for improving data confidence
COURSE OUTLINE
Standards
- Preparative challenges
- Standard verification
- Salt correction factor
Basic Proportional Calculations
- Proportion
- Beer's Law
- Two point linear regression
- Multipoint standard calibration
- Bracketing
Internal Standards
Linear Calibration Lines
- Correlation co-efficient
- Residuals
- Confidence Intervals
- Outliers
- Residual sum of squares
- Use of the origin
Sample Purity
- Percent area normalisation
- Relative response factor
Verification of calibration performance
- QCs and check standards
- Surrogates
Non-linear calibration
Line weighting
- Ordinary least squares regression
- Inverse weighting
- When do we use modified weighting?
System Suitability
- Placebo and blanks
- Signal to noise
- LOD/LOQ
- Calibration verification
- In sequence checks
- Precision
- Chromatographic peak shape and resolution