A General Overview of 2D NMR Experiments

The 2D data matrix is just an array of numbers (intensities) arranged in rows and columns 2048 columns and 1024 rows is typical. The numbers themselves can be positive or negative 

A contour plot hides many evils. Because we can set the threshold as high as we want, we can eliminate impurities and artifacts without being accused of fraud To be honest (and 

The second step in processing the 2D data is to perform a second Fourier transform on each of the columns of the matrix. Most of columns will represent noise, but when we reach a column which falls on an F2 peak, transformation of the t FID gives a spectrum in F, with a peak at the chemical shift of nucleus A (Fig. 9.15). The final 2D spectrum is a matrix of numerical values that has a pocket of intensity at the intersection of the horizontal line F = 2a and the vertical line F2 = 2b and has an overall intensity determined by the efficiency of transfer of magnetization from nucleus A to nucleus B. This efficiency tells us something about the relationship (/ value or NOE intensity) between the two nuclei 

Each individual FID is an oscillating and decaying function of t2, with the first two terms above equal to a constant. Fourier transformation gives a spectrum of B multiplied by the same constant  

We have a different spectrum of B for each t value, differing only in the value of the first term. For each column in the data matrix, we have a function of t for a fixed value of F2 (Fig. 9.14, right). Now the first term is the variable (function of t ) and the last term is a constant. Fourier transformation of the column converts the t FID into a spectrum of A in the indirect frequency domain F  

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