The advantages of forward linear prediction over multiple aliasing for obtaining high-resolution HSQC spectra in systems with extreme spectral crowding

The resolution obtained for the highly crowded C-13-H-1 HSQC spectrum of a mixture of three trisaccharides using forward linear prediction is compared with that recently reported for the same mixture but using multiple (100-fold or greater) aliasing of HSQC spectra in combination with a computer program to unfold the aliased spectra. It is shown that forward linear prediction gives slightly superior resolution while avoiding the significant sensitivity loss associated with the very narrow spectral windows and consequent long evolution times required for the multiple aliasing method. Copyright (C) 2003 John Wiley Sons, Ltd.