The quality of analysis depends more on the quality of the operator than that of the instrument, so this course will help laboratory staff to understand meaning and principals of gas chromatographic with method development and validation for several application.

The course is of interest for any person working in any analytical laboratory. Laboratory staff, Chemists, supervisors and technicians.

This interactive Training will be highly interactive, with opportunities to advance your opinions and ideas and will include;

• Lectures
• Workshop & Work Presentation
• Case Studies and Practical Exercise
• Videos and General Discussions

Day 1:  

• Introduction
• History of Chromatography
• Symbols and terms of Chromatography
• Physical forces and interactions chromatography
• Fundamentals of chromatography
• Type of Chromatographic Analysis
• Gas Chromatography
• Objectives & Definitions
• Principals of GC
• Mobile and Stationary Phase
• Instrumentation of Gas Chromatography

• Mobile Phase
• Gas Supplies
• Sample Introduction, Injection Ports and Valves
• Columns
• Detectors

Day 2:

• GC operation

• Setup and GC Operation, Basic steps
• Sampling Techniques
• Programmed Temperature GC
• Peak Dispersion in a Chromatographic Column
• Your First Chromatogram
• From Chromatograms to Report

• Maintenance and troubleshooting

• Errors in Qualitative and Quantitative Analysis
• Correction of errors and improving accuracy
• Preventive maintenance
• Routine Maintenance
• Practical application for schedule maintenance
• How to replace spare parts
• Troubleshooting fixation

• Evaluation of GC

Day 3:  

• Data Acquisition and Calibration

• Recorders & Data Acquisition
• Data analysis
• Data Acquisition and Processing
• Data Processing
• Calibration
• Data Acquisition and Processing System
• Calibration linked to GC performance

• Data Results

• Recorders & Data Acquisition
• Data analysis
• Data Acquisition and Processing
• Data Processing

• Application in analysis by Gas Chromatography
• Qualitative & Quantitation Analysis Strategies
• Performing Trace Analysis
• Errors in Qualitative and Quantitative Analysis
• Quality Control & Quality Assurance
• Statistical in analytical methods
• Data Validation of analysis results
• Quality Assurance Program
• Evaluation of analytical data
• Study Performance and Reporting

Day 4:

• Method development and validation
• Why is method validation necessary?
• How should methods be validated
• Method Validation process
• Method Calibration, and Standardization

• Certificate Reference Material (CRM), choice and preparation
• Correction of errors and improving Blank
• Instruments Calibration and Traceability
• Calibration Procedures, Certificate, and Documentation
• Standard calibration curve 
• Standard addition calibration curve 
• Internal standard calibration curve 
• Linearity and Residual analysis in regression
• Measurement Uncertainly in testing and calibration
• Methods for uncertainty characterization
• Standard Deviation and Standard Error
• Measurement Uncertainty in chemical measurements

Day 5:  

• Characteristic and steps of Method validation

• Selectivity
• Specificity
• Tolerance
• Linearity, Correlation Coefficient
• Accuracy & Precision
• Reliability (Repeatability, Reproducibility)
• Sensitivity, Detection Limit (LOD)
• Dynamic Range (LOQ, LOL, and LUR)
• Robustness

• The Evaluation of Results and Methods
• Errors in Analysis (Systematic, Random, and Gross)
• Correction of errors and improving accuracy
• Study Performance and Reporting
• Significant Figure & Rounding
• Reporting Analytical results and Archives
• Laboratory Certification
• Quality Audit (Internal and External)
• Practical exercises for Method Validation by Excel

CDGA attendance certificate will be issued to all attendees completing minimum of 85% of the total course duration.