A Saliva-Inspired Model of Enzymatic Starch Hydrolysis by Alpha Amylase

We demonstrate that the enzymatic activity of alpha-amylase (AA) can serve as an effective physicochemical trigger for membrane remodeling in giant unilamellar vesicles (GUVs). This work provides insight into how primitive protocellular reactions directly translate into the membrane's mechanical responses. Analysis of the potato starch utilized in this work is composed of ~26\% amylose and ~75\% amylopectin. Quantitative DNS analysis revealed time- and concentration-dependent accumulation of reducing sugars during starch degradation by AA. The HPLC-RID chromatograms demonstrated the synthesis of glucose, maltose, maltotriose, maltotetraose, maltopentaose, maltohexaose, and maltoheptaose, with maltose and maltotriose as the major products. The accumulation of these soluble hydrolysis products gradually increases the osmolarity of the extracellular medium surrounding the vesicles, leading to osmotic asymmetry across the membrane. This biochemical framework provides a quantitative basis for understanding membrane deformation, curvature generation, vesicle deflation, and budding. In addition to the specific starch--$\alpha$-amylase system studied here, our work uncovers a general mechanism by which external biochemical reactions control membrane shape transformations via osmotic coupling. Such enzyme-driven remodeling offers a simple yet powerful strategy for inducing dynamic structural changes in artificial cells. It may provide insight into primitive protocellular processes in which metabolic activity and membrane mechanics were inherently coupled.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-04
DOI
https://doi.org/10.64898/2026.11.03.764040
Primary Topic
Lipid Membrane Structure and Behavior
Type
preprint
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preprint

A Saliva-Inspired Model of Enzymatic Starch Hydrolysis by Alpha Amylase

Rajni Kudawla, Avneesh Singh, Tripta Bhatia, Sourav Negi et al.
bioRxiv (Cold Spring Harbor Laboratory)
Lipid Membrane Structure and Behavior
preprint

A Saliva-Inspired Model of Enzymatic Starch Hydrolysis by Alpha Amylase

Rajni Kudawla, Avneesh Singh, Tripta Bhatia, Sourav Negi, Deepika Singh
preprint en

Abstract

We demonstrate that the enzymatic activity of alpha-amylase (AA) can serve as an effective physicochemical trigger for membrane remodeling in giant unilamellar vesicles (GUVs). This work provides insight into how primitive protocellular reactions directly translate into the membrane's mechanical responses. Analysis of the potato starch utilized in this work is composed of ~26\% amylose and ~75\% amylopectin. Quantitative DNS analysis revealed time- and concentration-dependent accumulation of reducing sugars during starch degradation by AA. The HPLC-RID chromatograms demonstrated the synthesis of glucose, maltose, maltotriose, maltotetraose, maltopentaose, maltohexaose, and maltoheptaose, with maltose and maltotriose as the major products. The accumulation of these soluble hydrolysis products gradually increases the osmolarity of the extracellular medium surrounding the vesicles, leading to osmotic asymmetry across the membrane. This biochemical framework provides a quantitative basis for understanding membrane deformation, curvature generation, vesicle deflation, and budding. In addition to the specific starch--$\alpha$-amylase system studied here, our work uncovers a general mechanism by which external biochemical reactions control membrane shape transformations via osmotic coupling. Such enzyme-driven remodeling offers a simple yet powerful strategy for inducing dynamic structural changes in artificial cells. It may provide insight into primitive protocellular processes in which metabolic activity and membrane mechanics were inherently coupled.

bioRxiv (Cold Spring Harbor Laboratory)
Indian Institute of Science Education and Research Mohali (IN), National Institute of Pharmaceutical Education and Research (IN), National Institute of Pharmaceutical Education and Research (IN)
Lipid Membrane Structure and Behavior
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