![]() ![]() ![]() 0.01 ppm in this case) bins, so that integral (area) of each bin represents a new point in the binned spectrumĪs seen in the figure above, binning clearly removes the effect of chemical shift changes but of course, at the cost of a significant reduction in data resolution. Basically, what I have applied to all spectra is the well-known binning operation which consists of dividing each spectrum in equally sized (e.g. Instead of using the Peak Integrals tool in the Data Analysis module, I will show now a complementary procedure. Nevertheless, integration is a very simple solution as can be appreciated in the figure below. As described in my former post, this could be circumvented in some extent by using parabolic interpolation or peak searching of the maximum in a predefined box. If peak heights are determined at a fixed position, this might introduce appreciable errors in the posteriori quantitative analysis (e.g. It shows a triplet and as you can see, some minor peaks shifts are present from spectrum to spectrum First, consider the following experiment depicted in the figure below. ![]()
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