Method of optimizing NMR measurement condition
There is disclosed a method of finding a reliable optimum value of a measurement condition in an NMR measurement. This method starts with gaining NMR measurement data while varying the value of the measurement condition to be optimized. Then, a certain property is extracted as a numerical value from the measurement data. A plot is made of the measurement data versus the value of the measurement condition to create a curve. A model equation coincident with the measurement condition, its range, and the certain property extracted as a numerical value is established. Curve fitting is done in which constants of the model equation are varied such that the equation agrees the created curve. The constant values of the model equation and their standard deviation are obtained by curve fitting. An optimum value of the measurement condition is obtained from the results.
1. A method of optimizing an NMR measurement condition, comprising the steps of:
gaining NMR measurement data while varying the value of the NMR measurement condition to be optimized;
extracting a certain property as a numerical value from the measurement data;
plotting the numerical value of the measurement data versus the varied value of the measurement condition to create a curve;
setting a model equation coincident with the measurement condition, its range, and the certain property extracted as a numerical value;
performing curve fitting in which constants of the model equation are varied such that the model equation agrees with the created curve; and
gaining constant values of the model equation and their standard deviation by curve fitting and obtaining an optimum value of the measurement condition from the gained constant values and standard deviation.
2. A method of optimizing an NMR measurement condition as set forth in claim 1 , wherein said measurement condition is an RF pulse width, and wherein said certain property extracted as a numerical value is an integrated value of a region in which a signal obtained by Fourier-transforming measurement data obtained using a given pulse sequence is present.
3. A method of optimizing an NMR measurement condition as set forth in claim 1 , wherein said measurement condition is an RF pulse width, and wherein said certain property extracted as a numerical value is a peak top intensity of a region in which a signal obtained by Fourier-transforming measurement data obtained using a given pulse sequence is present.
4. A method of optimizing an NMR measurement condition as set forth in any one of claims 2 and 3 , wherein said measurement data are obtained by varying the RF pulse width in the neighborhood of total range of RF pulse width, 360° pulse width, 90° pulse width, 180° pulse width, or 270° pulse width.
5. A method of optimizing an NMR measurement condition as set forth in claim 1 , wherein:
(A) said measurement condition is a center frequency of irradiation,
(B) said certain property extracted as a numerical value is an integrated value of a signal obtained by Fourier-transforming measurement data obtained using a given pulse sequence, and
(C) a quadratic function is used as said model equation.
6. A method of optimizing an NMR measurement condition as set forth in claim 1 , wherein:
(A) said measurement condition is a wait time in 15 N- 1 H HSQC,
(B) said certain property extracted as a numerical value is an integrated value of a signal obtained by Fourier-transforming measurement data obtained using a given pulse sequence, and
(C) a quadratic function is used as said model equation.
7. A method of optimizing an NMR measurement condition as set forth in claim 1 , wherein:
(A) said measurement condition is a magnetic field gradient pulse intensity in a 15 N- 1 H HSQC measurement using coherence selection that employs magnetic field gradient pulses,
(B) said certain property extracted as a numerical value is an integrated value of a signal obtained by Fourier-transforming measurement data obtained using a given pulse sequence, and
(C) a quadratic function is used as said model equation.