Accuracy, the ability for a methodology to give results within acceptable limits when compared to known values, is a fundamental and key requirement. Calibration is the most common approach to obtain accuracy.

Accuracy requires a comparison to a validated material. The level of confidence depends on traceability, a chain connecting the samples of interest all the way to the specific metric standards. This can be a complex task which can raise doubts in an auditor. There are different situations for the use of each of standards of the various types. How to access the validity is a key.

In calibration, fundamental reliance on linearity of response make proof of linearity important. This is more involved that only obtaining a linear regression factor or correlation coefficient. Once proven, though, calibrations can change with various factors. Monitoring calibration behavior and using that to maintain or even improve a methodology can be very useful.

Areas Covered

Who Should Attend

Why Should You Attend 

One of the most important concepts and criteria of Good Laboratory Practices is accuracy, how well does a methodology stand in terms of quantifying when compared to an expected value? There are various approaches in calibration and in the use of standards for comparisons. This webinar will cover validation of calibrations and the strengths, weaknesses, and appropriateness of the different types of standards.  Without accuracy, a result is not acceptable. There are many issues that affect accuracy and there are many approaches to deal with them. The importance of response, matrix effects, selectivity of identification, and other issues will be covered.