journal article·2026-05Open access

Silica-magnetite nanocomposite for hydrothermally softened bamboo: Catalytic lignin oxidation and multi-scale mechanical enhancement

Lionnel Frederique Bidzanga Bessala, Yu Wang, Yanjun Li

Abstract

The hydrothermal bending of bamboo, while enabling curved forms, induces problematic softening characterized by reduced stiffnes and increased creep, limiting structural applications. This study investigates a nanocomposite treatment where Moso bamboo is impregnated with amorphous silica and magnetite (Fe 3 O 4 ) nanoparticles, which catalyze lignin oxidation. A multi-scale analysis (DMA, nanoindentation, XPS, FTIR, XRD, three-point bending) compared untreated (B-0), hydrothermally treated (B–W), and treated (B-M) bamboo. The B-M composite achieved a macroscopic elastic modulus of 29,311 MPa—11% higher than B-0 and 26% higher than B–W—while providing a remarkable balance of high stiffness and reduced creep under the tested short-term conditions (20 min at 45 °C). Nanoindentation and XRD showed this enhancement is not due to higher cellulose crystallinity, but to two synergistic mechanisms: (i) mechanical reinforcement from silica infiltration into conductive tissues, and (ii) Fe 3 O 4 -catalyzed oxidation of lignin. XPS confirmed significant increases in carbonyl (+51%) and carboxyl (+40%) groups in B-M, strongly correlated with improved modulus (r = 0.98), toughness (r = 0.95), and flexural strength (140.5 MPa). Direct evidence of covalent Si– O –C bonding (Si 2p peak shift to 102.8 eV) confirmed chemical grafting. The treatment also provided hydrolytic stability: after re-immersion, B-M retained 73% of its stiffness advantage over B–W with 20% less creep. This approach effectively counteracts hydrothermal softening, offering, high-performance bamboo for structural applications.
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Research context

OpenAlex topics: Lignin and Wood Chemistry · Advanced Cellulose Research Studies · Natural Fiber Reinforced Composites

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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