posted on 2016-09-07, 00:00authored byUlrik K. Sundekilde, Sebastian Meier
Starch
is used in food- and nonfood applications as a renewable
and degradable source of carbon and energy. Insight into the chemical
detail of starch degradation remains challenging as the starch constituents
amylose and amylopectin are homopolymers. We show that considerable
molecular detail of starch fragmentation can be obtained from multivariate
analysis of spectral features in optimized 1H–13C NMR spectroscopy of starch fragments to identify relevant
features that distinguish processes in starch utilization. As a case
study, we compare the profiles of starch fragments in commercial beer
samples. Spectroscopic profiles of homooligomeric starch fragments
can be excellent indicators of process conditions. In addition, differences
in the structure and composition of starch fragments have predictive
value for downstream process output such as ethanol production from
starch. Thus, high-resolution 1H–13C
NMR spectroscopic profiles of homooligomeric fragment mixtures in
conjunction with chemometric methods provide a useful addition to
the analytical chemistry toolbox of biotechnological starch utilization.