Classifying dextrans and levans from sugar crop processing microbial isolates with <scp>FTIR</scp> spectroscopy, machine learning and genomics

The analyses presented in this study demonstrate a low cost, relatively non-labor-intensive analytical classification method for possible identification/characterization of EPS in raw sugar production. Implementation of this type of analytical approach at sugar crop processing facilities and/or laboratories has potential to improve engineering practices for EPS management. Future work applied to mixed samples, polycultures, or sugar crop juices could be explored to further develop chemometric applications. Published 2025. This article is a U.S. Government work and is in the public domain in the USA.