# How to validate a procedure? ### How to validate a procedure?

The validation begins with experimental proof that a procedure analysis is “under statistical control”. This is the case when the average values ​​of measurements of authentic samples are constant. The next step of validation consists in demonstrating the veracity of the method.

### How to calculate Lod?

LOD = xblank + k sblank xblank mean value of n measurements* of independent blanks, sblank standard deviation of the measurements of the blanks, k numerical factor chosen according to the level of confidence required.

### How to make a validation file?

How present and organize case ?

1. a cover page and a summary (refer to the presentations required by each certifier),
2. an introduction, a conclusion,
3. a classification of activities corresponding to the competency units of the certification reference system. …
4. a numbering of the appendices if necessary,

### What is the difference between LOD and LOQ of a given measurement method?

In practice, it is the LOD of the method which is the most informative and realistic performance of the method. An LOD or LOQ for a compound must always be provided for a given measurement method and sample category – the LOD and LOQ indeed depend on the sample considered.

### How to calculate the LOD of a method?

There are two ways to determine the LOD or LOQ of a method: either by defining an acceptable level of uncertainty. k numerical factor chosen according to the level of confidence required. There are several types of blanks ** – it is therefore important to always specify the blanks considered for the calculation of the LOD or LOQ.

### What is Le Loq?

The term LoQ stands for limit of quantification. It gives the smallest concentration of an analyte in a test sample that we can determine with acceptable repeatability and precision.

### How to calculate the detection limit?

This gives you the LOD. In other words, the detection limit is three times the background noise measured on the chromatograph. Multiply the baseline average peak-to-peak noise level measurement by 10.