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SUPPRESSION OF STRONG SINGLE-QUANTUM SIGNALS IN RAMAN MAGNETIC RESONANCE SPECTROSCOPY IN HETERONUCLEAR SPIN SYSTEMS
MIAO Xijia, YE Chaohui
Chinese Journal of Magnetic Resonance, 2000, 17(1): 47-53.
Raman magnetic resonance experiment is a useful tool for direct detection of multiple-quantum signals in one-dimensional mode. It has been shown that all possible order quantum transitions in a spin system may be detected by the method using excitation radiofrequency field with proper offset and strengths. Among these quantum transition signals the single-quantum transition signals are usually strongest. The strong single-quantum signals may cause problems in dynamic range of receiver, spectral baseline roll and phase artifacts. Thus, suppression of strong single-quantum signals is necessary to obtain a high quality Raman magnetic resonance spectrum. Here we report an RMR experiment to suppress the strong single-quantum signals by alternatively accumulating FID signals with positive and negative irradiation offsets. It follows from the analysis of the product operator formalism that the strong single-quantum signals are symmetrical about offset, that is, when irradiation offset changes from positive value to negative, the strong single-quantum signals also invert their intensities for a heteronuclear spin system. Therefore, the accumulation of FID with positive and negative irradiation offset can suppress strong single-quantum signals in RMR experiments. The RMR experiments with alternative positive and negative offset accumulation acquisition on heteronuclear AXn (n =1,2,3) spin systems (CHCl3 ,CH2 Cl2 ,CH3 OH) are carried out on an ARX-500MHz spectrometer, where proton is irradiated and canbon-13 is detected. The experimental results show that the strong single-quantum signals are suppressed effectively and the multiple-quantum signals with intensity similar to those of the single-quantum signals are acquired. This is in a good agreement with the above theoretical prediction.
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ON AED-VECTOR CHARACTERIZATION AND 13 C NMR SIMULATION FOR SUGARS
LI Zhiliang, ZHOU Liping, XIA Zhining, PENG Haijiao, LIU Shushen, YU Banmei
Chinese Journal of Magnetic Resonance, 2000, 17(1): 55-61.
In bioorganic analysis, abundant structural information can be provided by carbon-13 nuclear magnetic resonance (13 C NMR) and more and more attentions have recently been paid on its molecular modelling and quantitative prediction which on the basis of the relationship of chemical shift of carbon nuclear magnetic resonance with descriptor variables of chemical structure. By using multiple linear regression (MLR) and latent factor analysis (LFA) techniques, quantitative 13 C NMR models are achieved to accurately express correlation of 13 C NMR chemical shifts with five structural parameters and to successfully predict the chemical shift (CS )of any other compounds optimally. First, the history and progress in quantitative structure spectra relationship (QSSR) were critically reviewed, and a set of novel descriptors consisting of 4 elements, called atomic electronegative distance edge vector (AEDV) were first developed by our laboratory and further investigated for the bioactive compounds. Next, MLR and LFA were simply introduced; Matlab and True Basic programs for quantitative molecular modelling (QMM) were designed and written by ourselves. Then, various chemical shifts of 13 C NMR for 457 different chemically equivalent carbon atoms in 135 natural sugars were estimated and/or predicted with the atomic electronegative distance edge vector (AEDV) with 4 elements and the γ calibration parameter:The correlation coefficients R , roots of mean square error RMS , standard deviation SD , F-statistic value F , and explained variance being n =62, R =0.9910, RMS =1.9602 (SD =1.9762, R 2 =0.9821, F =502.3294, EV =0.9805); n =79, R =0.9886, RMS =2.5405 (SD =2.5567, R 2 =0.9773, F =515.6046, EV =0.9757); n =302, R =0.9514, RMS =3.6884 (SD =3.6945, R 2 =0.9051, F =468.8276, EV =0.9035)and n =14, R =0.5772, RMS =8.8626(SD =9.1972, R 2 =0.3331, F =0.5828, EV =-0.0837)for the primary, secondary, tertiary and quaternary carbons in all carbohydrates, respectively. Finally, cross validation with leave-one-out (LOO) procedure was made on the QSSR equations for all four types of carbon atoms. The good results were obtained for the first three types of carbon atoms except the quaternary carbon atoms, which indicated that there exists a simply multiple linear relationship between CS and AEDV for primary, secondary, tertiary carbon atoms of sugars.
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SOME NOTICEABLE PROBLEMS IN FERROMAGNETIC RESONANCE EXPERIMENT
HOU Bihui, LI Zhiwei, CHEN Yutao
Chinese Journal of Magnetic Resonance, 2000, 17(1): 83-87.
Comparing to a paramagnetic sample, the signal of magnetic resonance of a ferromagnetic sample not only is much stronger, but also reflects many characteristics of ferromagnetic resonance (FMR) spectra. Such as, the FMR spectra are different between virgin magnetization and magnetization with remanence M r . Barkhausen jumps is characterized by FMR spectrum in virgin magnetization. The FMR can also be used to study anisotropy of magnetocrystal, shape anisotropy, and magnetic phase transition of ferromagnetism-high temperature paramagnetism, etc.