Описание: Today’s analytical lab is busier than ever, regularly being asked to do more with less. In the name of efficiency, we are advised to “not reinvent the wheel” and simply transfer an existing method from a collaborative lab or a publication. Yet, how often do we attempt this and generate resulting data that is far different from our colleagues or the authors of the referenced article?
In this talk, we will discuss the factors that impact the fidelity of method transfer. We will look at how to measure and compensate for differences in these key system attributes.
Лектор: Paul Altiero, Application Engineer,Agilent Technologies, Inc.
Продължителност: 1 час и 22 минути
Дата: 23 май 2023, 18:00 ч. българско време