Chaotrope-assisted aqueous depolymerization of polycarbonate with spontaneous catalyst regeneration
- Authors
- Park, Seungjoo; Lee, Hyunmin; Vu, Thanh Van; Kang, Youngjong
- Issue Date
- Oct-2026
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Chaotropic salts; Catalyst regeneration; Aqueous depolymerization; Polycarbonate
- Citation
- POLYMER DEGRADATION AND STABILITY, v.252, pp 1 - 10
- Pages
- 10
- Indexed
- SCIE
SCOPUS
- Journal Title
- POLYMER DEGRADATION AND STABILITY
- Volume
- 252
- Start Page
- 1
- End Page
- 10
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/219159
- DOI
- 10.1016/j.polymdegradstab.2026.112307
- ISSN
- 0141-3910
1873-2321
- Abstract
- Aqueous chemical recycling of condensation polymers represents an ideal pathway for a circular economy, yet its implementation is severely hindered by the profound hydrophobic barrier at the polymer-water interface. Herein, we report a chaotropic salt-assisted aqueous depolymerization system that overcomes this limitation. We demonstrate that chaotropic ions (e.g., guanidinium) enhance wetting and polymer-water interfacial accessibility of hydrophobic polycarbonate (PC), thereby enabling efficient depolymerization over an Fe/MgO catalyst under mild conditions (100°C, 1 atm). While conventional batch recycling leads to catalyst deactivation via densification of carbonate species, we discovered that transitioning to an in situ one-pot sequential-feeding process promotes carbonate-mediated surface renewal and improves long-term catalyst stability. Detailed structural analysis reveals that the reaction-derived carbonate ions drive the selective surface segregation of iron species, forming active Fe2O3 nanoparticles on the catalyst exterior. This process effectively turns the typically detrimental phase transformation into a beneficial surface renewal mechanism. Consequently, the system achieved long-term stability (>10 days) processing a cumulative polymer load exceeding 100 times the catalyst mass with quantitative conversion and high monomer yield.
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