2004
DOI: 10.1016/j.carres.2003.09.034
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Use of 13C chemical shift surfaces in the study of carbohydrate conformation. Application to cyclomaltooligosaccharides (cyclodextrins) in the solid state and in solution

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Cited by 21 publications
(25 citation statements)
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“…The NMR rotors were therefore dried in oven before the experiments, and the milled powder was also dried at 80°C on a kofler bench before filling in the NMR rotor, in order to prevent accidental humidity adsorption. [24][25][26]). The NMR lines attributed to galactose C 1 and glucose C' 1 ( or ) carbons remain however sufficiently resolved to be quantitatively exploited.…”
Section: Resultsmentioning
confidence: 99%
“…The NMR rotors were therefore dried in oven before the experiments, and the milled powder was also dried at 80°C on a kofler bench before filling in the NMR rotor, in order to prevent accidental humidity adsorption. [24][25][26]). The NMR lines attributed to galactose C 1 and glucose C' 1 ( or ) carbons remain however sufficiently resolved to be quantitatively exploited.…”
Section: Resultsmentioning
confidence: 99%
“…Several methods have been proposed in the literature [7,18], including series expansions on a trigonometric basis. In the present work, reliable data have been provided by using simple cubic spline The last step of data processing is the convolution of S() with a lorentzian function, in order to account for the homogeneous CPMAS linewidth.…”
Section: mentioning
confidence: 99%
“…The starting crystal structure was relaxed by molecular mechanics in order to identify the lowest energy molecular conformation (LMC) in a given force field. For each different force field here used, an adiabatic Ramachandran map E(,) was calculated by classically mapping the whole (,) space by 324 (=18 x 18) points separated by 20° steps [5][6][7]. For each (,) point in the map, minimization started from the LMC coordinates, then the  and  values were set and restrained by setting a high value of dihedral angle spring constants.…”
Section: Conformational Energy Mapsmentioning
confidence: 99%
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