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◆ Microporous and Mesoporous Materials2026-03-27· Photocatalysis

Green-synthesized supported nanocatalyst for the Rhodamine 6G photodegradation: Photocatalytic activity, machine learning modeling and ecotoxicity

Matheus Londero da Costa, Yolice Patricia Moreno Ruiz, Cristiane Felix do Santos, Giovani Pavoski, Jorge Alberto Soares Tenório, Denise Crocce Romano Espinosa, Alencar Kolinski Machado, William Leonardo da Silva

原始摘要(英文原文)· Original abstract
This study reports the synthesis and comprehensive evaluation of a novel green-supported nanocatalyst (SiO 2 /MoO 3 -NPs) for the photodegradation of Rhodamine 6G (Rh6G) dye under visible irradiation. The nanocatalyst was developed in accordance with circular economy principles, utilizing silica (SiO 2 ) extracted from agro-industrial rice husk waste (as the catalytic support), and molybdenum trioxide nanoparticles (MoO 3 -NPs) biosynthesized using the Araucaria angustifolia extract (as the photoactive phase). The nanomaterial was fully characterized by Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR), Scanning Electron Microscopy Energy Dispersive X-ray Spectroscopy (SEM-EDS), X-Ray Diffraction (XRD), N 2 porosimetry, Zeta Potential (ZP), zero charge point (pH ZCP ), Diffuse Reflectance Spectroscopy (DRS), and acid sites present onto the surface of the nanomaterial. SiO 2 /MoO 3 -NPs confirmed the presence of α-MoO 3 and β-MoO 3 phases , as well as high surface area (260 m 2 g -1 ). The photocatalytic performance was optimized using a Central Compound Rotational Design (CCRD 2 3 ), achieving an optimal Rh6G removal of 99.9% under the ideal conditions (4.2 g L -1 of SiO 2 /MoO 3 -NPs, 1.6 mg L -1 of Rh6G, and pH 7). The kinetic degradation followed pseudo first-order model ( k = 0.027 min -1 ) and demonstrated excellent photostability, maintaining high efficiency after four reuse cycles. Furthermore, the ecotoxicity evaluation showed that the nanocatalyst and the treated wastewater were non-toxic to Artemia salina and Lactuca sativa , respectively. A Machine Learning (ML) approach (Random Forest – RF model) was successfully employed to predict of the Rh6G photodegradation mechanism, identifying key intermediate products. Therefore, these results highlight the potential of this sustainable, waste-derived nanocatalyst for efficient and environmentally friendly wastewater treatment. • Nanocatalyst (SiO 2 /MoO 3 -NPs) was bioynthesized using Araucaria angustifolia extract. • The optimized catalyst performance achieved a 99.9% removal of the Rhodamine 6G dye. • Random Forest model was successfully employed to predict the degradation mechanism. • SiO 2 /MoO 3 -NPs and treated wastewater were non-toxic ( A. salina and L. sativa ).
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Green-synthesized supported nanocatalyst for the Rhodamine 6G photodegradation: Photocatalytic activity, machine learning modeling and ecotoxicity — 科研速览 Science Skim