Robustness Test in Analytical RP-HPLC by Means of Statistical Experimental Design DoE

Robustness Test in Analytical RP-HPLC by Means of Statistical Experimental Design (DoE) 

One assumes that changed factors can also change the target values during the process. Unfortunately, the connections between factors and target values can be overlaid or interfered with by measurement errors and by unknown or unidentified disturbance factors. 

It is an unquestioned objective of the robustness test using statistical experimental design (DoE = Design of Experiments) to perform a systematic investigation of the connections between target values y and factors x, %2,. .. x with very few experiments. In most cases, these can be adequately described by a linear model (plan of first order)  

The robustness of an analytical RP HPLC method can be determined through the following six steps [5]  

The factors can be quantitative (continuously adjustable) or qualitative (not continuously adjustable). 

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