Structural characterisation of fructan isomers in Agave tequilana Weber var. azul plants using collision cross-section prediction

Fructans play important roles in plant physiology and have been reported to have several technological applications. They are complex fructose oligo- and polysaccharides with varying Degrees of Polymerization (DPs) and branching types. These features have made it difficult to determine the structure of the plant's different isomers. This work introduces a combined experimental and computational approach, in which we compare experimentally derived Collision Cross-Section (CCSe) values with a computationally generated CCS (CCSt) database of potential fructans based on reported characteristics. We identified 34 CCSe values corresponding to fructans up to DP12, of which 24 (70%) matched entries in the CCSt database with an average error of 0.29%, and were successfully assigned a structure. This approach offers promising possibilities for analysing different molecules and sample types.

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Publication Details

Journal
Carbohydrate Polymers
Published
2026-05-08
DOI
https://doi.org/10.1016/j.carbpol.2026.125411
Primary Topic
Microbial Metabolites in Food Biotechnology
Type
article
Field-Weighted Citation Impact
0.00

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article

Structural characterisation of fructan isomers in Agave tequilana Weber var. azul plants using collision cross-section prediction

Luis Fernando Pérez-Vega, José Juan Ordaz-Ortíz
Carbohydrate Polymers
Microbial Metabolites in Food Biotechnology
article

Structural characterisation of fructan isomers in Agave tequilana Weber var. azul plants using collision cross-section prediction

Luis Fernando Pérez-Vega, José Juan Ordaz-Ortíz
article en

Abstract

Fructans play important roles in plant physiology and have been reported to have several technological applications. They are complex fructose oligo- and polysaccharides with varying Degrees of Polymerization (DPs) and branching types. These features have made it difficult to determine the structure of the plant's different isomers. This work introduces a combined experimental and computational approach, in which we compare experimentally derived Collision Cross-Section (CCSe) values with a computationally generated CCS (CCSt) database of potential fructans based on reported characteristics. We identified 34 CCSe values corresponding to fructans up to DP12, of which 24 (70%) matched entries in the CCSt database with an average error of 0.29%, and were successfully assigned a structure. This approach offers promising possibilities for analysing different molecules and sample types.

Carbohydrate PolymersVol. 385
Instituto Politécnico Nacional (MX)
Consejo Nacional de Ciencia y Tecnología
Openalex Percentile: Top 8%
Microbial Metabolites in Food Biotechnology
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