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  Introduction   E-noval Seelva   New-Daily Osiris   Training Program    

 

Uncertainty of measurement: 


Responsibles: Ph. Hubert, Professeur, ULg - B. Boulanger, Chargé de cours adjoint, ULg

 

Objectives:

In R&D or in production, many decisions are based on quantitative analytical results.
Therefore, it is essential to trust in these results. This will be done by the estimation of the uncertainty of the result obtained.
It becomes a mandatory step in for any process in Quality Assurance whatever the references in application (BPL, BPF) but particularly for ISO 17025 norm.
For this, it is necessary to:

    1. identify the uncertainty root causes linked to the trials
    2. determine the methodology for the estimation of the uncertainty
    3. use the appropriate tools for the estimation of the uncertainty

This training aims to understand the uncertainty of measurement concept, to present the different approaches for the evaluation of the uncertainty applicable in analytical chemistry (GUM approach, ISO 5725, Barrwick et Ellison, Validation, Quality Control ...) and the expression of the result and its uncertainty.
The advantages and disadvantages of the different approaches will be presented through examples of analytical procedures.
The objective is to acquire the theory and the practice of the different ways of estimation of the uncertainty of measurement in analytical chemistry, with the target to be able afterwards to apply directly these methodologies in the laboratory.

 

 

Target audience:

  • Technicians, researchers and  manager from the analytical development laboratory.
  • Analysts involved in the conception, development and validation of analytical methods for chemical, pharmaceutical, food, cosmetic (…) industries.

 

 

Program :

1. Definitions

  • Why the Uncertainty?
  • Problems linked to the evaluation of the uncertainty

 

2. Reminder of basic notion of statistics

  • The result
  • Variance and standard deviation
  • Confidence interval
  • Normal distribution
  • Random error / Systematic error.

 

3. Uncertainty notions

  • Concept
  • Identification of the uncertainty root causes
  • Processus of the uncertainty estimation

 

4. Different approaches for the uncertainty estimation

  • GUM method: Guide to the Expression of Uncertainty in Measurement
  • Validation
  • Robustness
  • ISO 5725 model
  • Evaluation of the uncertainty from the QC samples


5. Expression of the result and its uncertainty

 

These trainings can be dispatched internally or in your company.

For more information, please contact us info@arlenda.com
or use this form

 

 

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