The Position of Phosphate Groups in the Phosphonomannan of Hansenula capsulata, as Determined by Carbon-13 Magnetic Resonance Spectroscopy

1973 ◽  
Vol 51 (13) ◽  
pp. 2105-2109 ◽  
Author(s):  
Philip A. J. Gorin

The carbon-13 magnetic resonance spectrum of a phosphate of 2-O-β-D-mannopyranosyl-α,β-D-mannose was compared with that of the unphosphorylated disaccharide. The positions and number of the signals of C-5's which are coupled to phosphorus-31, together with other spectral data show that the phosphate group is on C-6 of the reducing end-unit (2, Fig. 1). This differs from a previous assignment (1), thus necessitating a revision (4) to the structure 3 proposed for the parent Hansenula capsulata phosphonomannan.

1967 ◽  
Vol 45 (11) ◽  
pp. 1201-1207 ◽  
Author(s):  
C. F. H. Allen

The spectral data, predominantly nuclear magnetic resonance spectra, of a number of carbonyl-bridged and related compounds have been examined. In most instances they confirm the structures arrived at by classical procedures, but in some instances revisions have been made.


1963 ◽  
Vol 41 (3) ◽  
pp. 777-782 ◽  
Author(s):  
W. M. Pasika ◽  
L. H. Cragg

The introduction of sulphate groups into dextran produces characteristic changes in its proton magnetic resonance spectrum. With linear dextran a new signal appears which can be attributed solely to an effect of sulphate groups; with branched dextran this signal coincides with that due to the branching. From a comparison of peak areas in these spectra with peak areas in the spectra of the unsulphated linear and branched dextrans it is concluded that during sulphation no appreciable degradation occurred, whether by chain scission or branch hydrolysis.The proton magnetic resonance spectra also provide evidence for preferential substitution of sulphate at carbon 2 in the anhydroglucose unit.


Author(s):  
Seoung Bum Kim

Development of advanced sensing technology has multiplied the volume of spectral data, which is one of the most common types of data encountered in many research fields that require advanced mathematical methods with highly efficient computation. Examples of the fields in which spectral data abound include nearinfrared, mass spectroscopy, magnetic resonance imaging, and nuclear magnetic resonance spectroscopy. The introduction of a variety of spectroscopic techniques makes it possible to investigate changes in composition in a spectrum and to quantify them without complex preparation of samples. However, a major limitation in the analysis of spectral data lies in the complexity of the signals generated by the presence of a large number of correlated features. Figure 1 displays a high-level diagram of the overall process of modeling and analyzing spectral data. The collected spectra should be first preprocessed to ensure high quality data. Preprocessing steps generally include denoising, baseline correction, alignment, and normalization. Feature extraction/selection identifies the important features for prediction, and relevant models are constructed through the learning processes. The feedback path from the results of the validation step enables control and optimization of all previous steps. Explanatory analysis and visualization can provide initial guidelines that make the subsequent steps more efficient. This chapter focuses on the feature extraction/selection step in the modeling and analysis of spectral data. Particularly, throughout the chapter, the properties of feature extraction/selection procedures are demonstrated with spectral data from high-resolution nuclear magnetic resonance spectroscopy, one of the widely used techniques for studying metabolomics.


1963 ◽  
Vol 41 (2) ◽  
pp. 293-299 ◽  
Author(s):  
W. M. Pasika ◽  
L. H. Cragg

The proton magnetic resonance spectrum of branched dextran contains a peak, not found in the spectrum of linear dextran, which is assigned to C1 protons at non-1,6-linkages—linkages which in most branched dextrans form the branch points. A quantitative measure of the extent of branching—the ratio of 1,6-linkages to non-1,6-linkages—is obtained by taking the ratio of the areas of the peaks associated with these two types of linkages. The value so obtained agrees well with that obtained by periodate analysis.For polysaccharides in which the non-1,6-linkages are known to be at branch points, n.m.r. spectroscopy thus affords a means of detecting and estimating branching which is more convenient than methods currently in use.


1975 ◽  
Vol 53 (21) ◽  
pp. 3315-3318 ◽  
Author(s):  
Adrian O. Fulea ◽  
Peter J. Krueger

The 220 MHz p.m.r. spectra of 4-(4′-nitrothiobenzoyl)-2,6-dimethylmorpholine (1) provide evidence for the progressive freezing of the librations of the thioamide group around the C(S)—Ph bond as the temperature is lowered. This is supported by spectral data on related compounds in which the aromatic and hetero-ring substituents are altered.


Sign in / Sign up

Export Citation Format

Share Document