Multiple spectra selection can be done either graphically from the stack or directly from a table. manual phase correction to the selected group). Mnova includes a powerful, yet easy to use multiple spectral selection mode, which allows the user to optimize the processing of groups of spectra by selecting a bunch of spectra and applying any processing (e.g.

This option is very useful when the number of stacked spectra is very large, slowing down the plotting and not showing relevant information Here you can see an example showing the result of a R-M experiment consisting of 700 spectra, and how the dataset will look like after decimation: Selecting 'Decimation' will display this dialog box, which will allow you to show the slides from a range or the step or decimation factor (i.e, the slides 30, 60, 90, etc). This table provides new options to easily hide or select any number of spectra To hide any of the traces, just uncheck the left check boxes of the 'Stacked Spectra Table' Once there, click on the number of the spectrum for which you want to change the location and drag to the desired location. The user can easily sort the traces of the arrayed spectrum by clicking on the 'Stacked Spectra Table' icon to display the dialog box below: How to set up the traces? Sorting traces: Basically, Mnova will process only the rows of the data matrix and, by default, will display the spectrum as a stacked plot (see below): For all these cases, Mnova will only process the acquired dimension (t2). Just select the desired spectra in the page navigator (by holding down 'CTRL key' while clicking on each spectrum) and then issue the command 'Stack/Stack spectra':Īdditionally, Mnova can detect spectra which have been acquired in the so-called arrayed-mode (or pseudo 2D), typically used in relaxation, kinetics or diffusion experiments. Creating a stacked (or pseudo 2D) spectrum with Mnova is very easy.

Instead of acquiring five different sets of data, the user is able to create an array in which the temp parameter is given for successively different values. The user, for example, may need to run several spectra at different temperatures: 270K, 300K, 330K, 360K and 390K. Many types of experiments require obtaining a series of FIDs, related to each other through the variation of one or more parameters (temperature, concentration, solvent.).

Mestrenova stack intensity