I will speak to signal acquisition below, but assuming you have everything right, you can see my point, below. To assess you and your spectrometer performance it may be necessary to collect a spectrum that really shows how good your inherent line-shape is. Much of what you may ever want to do with NMR experimental data will be predicated on inherent signal line-shape.

In these days of gradient shimming it can be easy to forget that the very best line-shape is a prize that still must be earned. How far you wish to push qNMR depends on your attention to detail in this regard, so please read on – even if you don’t really want a “black belt” in integration! Note that there is already some good articles on integration and overlap. In this article I would like to look at integration in a little more detail, and show some of the steps needed for best practice. However you do qNMR, a huge part of the achievable accuracy and precision will depend on the signal integrations. But in this case the technique becomes less of a high throughput method. Furthermore, your analysis will equally apply to single compounds as well as mixtures.įor some applications, such as forensics, the highest levels of accuracy and precision are required, and a number of studies have shown that careful qNMR is well up to the task. You do not need to determine a response factor for every new compound, and your accuracy may be limited by your weighing skills. The big attractions for analysts are speed and convenience. I have written extensively on the subject in this blog, and there are many excellent peer-reviewed articles to consider. A quiet revolution is occurring in the world of quantitation: qNMR.

Mestrenova integral text values