Laboratory supervisors, chemists, and senior technicians working in QA/QC

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

Module One:

• Introduction
• History & Review
• Chemical Measurement
o Types of methods
o Selection of methods
o Chemical measurement evolution
o Compare duplicate samples results
o Reputability, Reducibility and mean of replicate
o Evaluation of analytical data measurement
o Prerequisites for analytical method validation

Module Two:
• Method Calibration, and Standardization
• Correction of errors and improving Blank
• Calibration Instruments and Measurement methods
 Certificate Reference Material (CRM), choice and preparation
 Degrees of Freedom
 Linearity and Residual analysis in regression
 Blank Correction
 Instruments Calibration and Traceability
 Calibration Procedures, Certificate, and Documentation
• Standard calibration curve
• Standard addition calibration curve
• Internal standard calibration curve

Module Three:

• Characteristic and steps of Method validation
o Selectivity
o Specificity
o Tolerance
o Linearity, Correlation Coefficient
o Accuracy & Precision
o Reliability (Repeatability, Reproducibility)
o Sensitivity, Detection Limit (LOD)
o Dynamic Range (LOQ, LOL, and LUR)
o Robustness
• The Evaluation of Results and Methods
• Type of errors in chemical measurements
o Systematic, Random, and Gross errors
o Errors in Qualitative and Quantitative Analysis
o Correction of errors and improving accuracy
o Correction of errors and improving accuracy

Module Four:

• Measurement Uncertainty in chemical measurements
o Difference between Error and Uncertainty
o Sources of uncertainty in measurement
o Recommendations of ISO 17025 for uncertainty
o Procedures for estimating measurement uncertainty
 “Bottom-up” method GUM
 “Top-down” methods
 Monte Carlo method – an alternative to GUM

• Normal Distribution (Gussian Distribution curve)
• Statistical Process Control (SPC) & Control Chart

Module Five:

• Practical exercises for Inter-Laboratory Performance test
o F-test
o T-test (Student’s t Distribution test)
o Q-test
o Z-score
• Practical exercises for Uncertainty& Control Chart
o Manual Calculation for Uncertainty
o Used Excel Function for Uncertainty
o Drawing Control Chart by Excel
o Proficiency Test Calculation
• Quality Assurance and Audit Program
• Significant Figure & Rounding
• Reporting Analytical results and Archives
• Laboratory Certification

BTS certificate will be issued to all attendees completing minimum of 75% of the total tuition hours of the WORKSHOP.

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