Articles & Issues
- Language
- English
- Conflict of Interest
- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received December 4, 2024
Revised May 22, 2025
Accepted June 5, 2025
Available online September 25, 2025
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Monitoring of Liquid Based Microbial Bioplastic Degradation by Diff erential Scanning Calorimetry (DSC)
https://doi.org/10.1007/s11814-025-00496-z
Abstract
To monitor the degradation of bioplastics by microbes and enzymes, conventional weight-based and chromatography-based
methods have been commonly used. However, these approaches require time-consuming sample preparation and often suff er
from low reproducibility from diff erent recovery method. As an alternative, this study proposes a quantitative approach using
diff erential scanning calorimetry (DSC), a technique traditionally used to analyze the thermal properties of polymers. This
method directly applies lyophilization without washing and drying samples and uses DSC analysis to quantify the enthalpy
change (ΔH) at the melting temperature of bioplastic residues. When PHB fi lms were analyzed after optimizations, a strong
linear correlation (R 2 > 0.99) between ΔH and fi lm mass was observed across all cases. Compared to conventional, the DSC
method showed less than 3.5% deviation from the gas chromatography (GC) method, contrary to the weight-based method
showing more than 14% diff erence from the GC-based method. This method expands the ability to quantify diff erent types
of bioplastics such as poly(butylene succinate) (PBS) and polycaprolactone (PCL), simultaneously. This research highlights
DSC as a simple, reproducible, and broadly applicable approach for monitoring bioplastic degradation quantitatively, off ering
a promising alternative to labor-intensive conventional methods.

