1D AND 2D NMR Prepared By MAHENDRA G S Pharmaceutical Chemistry JSSCP , Mysuru .
OBJECTIVES 1-D NMR Principle Sequence Scheme Name Proposed 2-D NMR Principle Sequence Scheme Name proposed Why 2D NMR Types
1-D NMR Simple FT-NMR Technique 1-D NMR spectroscopy is simple technique In which we provide 90 degree pulse to sample which is placed in uniform magnetic field. As a result we get a FID signal (raw form). To get meaningful data we apply Fourier Transform program on FID to get desire signal. 3. Data in form of frequency vs intensity is plotted along x-axis and y-axis respectively
Sequence Scheme If we divide the 1-D NMR into a general periods , we get two steps •Preparation : (do something with nuclei) What we can do ??? • Simply we provide a 90 degree pulse 2.Detection : ( detect the signal) .Simply we measure the signal
Why Named 1-D NMR ?? • We call it 1-D NMR , not because of graph. Graph is actually in 2-d. • Since one of the time domain is changing into frequency dimension Thats why we call it 1D NMR .
• The first two-dimensional experiment was proposed by Jean Jenner . • 2D NMR is a set of nuclear magnetic resonance spectroscopy (NMR) methods which give data plotted in a space defined by two frequency axes rather than one . • 2D NMR spectra provide more information about a molecule than one-dimensional NMR spectra 2-D NMR
Principle : 2D NMR is Nuclear magnetic resonance spectroscopy in which we provide a 90 degree pulse to our sample which is placed in uniform magnetic field then we wait for (0ms-5ms) depending upon the experiment type then again we provide again 90 degree pulse and this time we measure signal as FID. As a result we get Two FID signals which are plotted with respect to time domain. To get a meaningful data , we apply Fourier transform program on FIDs to get frequency in terms of ppm .
Primary 2D matrix consists a series of FIDs A set of 1D NMR spectra is obtained by Fourier transformation with respect to t2. The signals of each transformation may differ in amplitude and phase. A second Fourier transformation with respect to t1 yields the final 2D matrix with frequency axes F1 and F2