Green lithium niobate synthesized from Citrus latifolia extract: Development, characterization and photocatalytic activity for the rose bengal dye photodegradation with mechanistic insights using machine learning models

Green lithium niobate (gLiNbO 3 ) was developed via a green method using Citrus latifolia extract for the photodegradation of Rose Bengal (RB) dye via heterogeneous photocatalysis. In this regard, gLiNbO 3 exhibited a semi-amorphous structure with a low crystallinity index (±32%); Li-O and Nb-O bands; a high surface area of 259 m 2 g −1 ; a porous, lamellar, and foliated morphology; and a band gap energy of 3.1 eV. For the central composite rotatable design of RB photodegradation, the ideal condition was [gLiNbO 3 ] of 0.3 g L −1 , [RB] of 5.8 mg L −1 , pH ≈ 5, and T = 25 ± 2 °C with 81% RB photodegradation, demonstrating an apparent rate of the pseudo-first-order of k = 0.0085 min −1 . In the study of RB photodegradation, the process is governed by the Type I mechanism (Radical), in which photogenerated holes (h + ) and the hydroxyl radical ( • OH − ) are the primary oxidizing species. The reuse test demonstrated catalytic stability over five cycles, maintaining efficiency above 50%. Additionally, the use of machine learning allowed the capture of underlying chemical patterns related to the RB degradation mechanism, identifying intermediates that are not easily detectable. Therefore, gLiNbO 3 stands out as a promising platform for photocatalysis, with the scientific contribution being the validation of its photocatalytic functionality and the optimization of the RB mineralization process, paving the way for the development of catalysts for scalable environmental remediation.

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Journal
Materials Today Nano
Published
2026-06-19
DOI
https://doi.org/10.1016/j.mtnano.2026.100868
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Green lithium niobate synthesized from Citrus latifolia extract: Development, characterization and photocatalytic activity for the rose bengal dye photodegradation with mechanistic insights using machine learning models

Matheus Londero da Costa, Giovani Pavoski, Yolice Patricia Moreno Ruiz, Jorge Alberto Soares Tenório et al.
Materials Today Nano
Advanced Photocatalysis Techniques
article

Green lithium niobate synthesized from Citrus latifolia extract: Development, characterization and photocatalytic activity for the rose bengal dye photodegradation with mechanistic insights using machine learning models

Matheus Londero da Costa, Giovani Pavoski, Yolice Patricia Moreno Ruiz, Jorge Alberto Soares Tenório, Daniel Moro Druzian, William Leonardo da Silva, Cristiane dos Santos, Denise Crocce Romano Espinosa
article en

Abstract

Green lithium niobate (gLiNbO 3 ) was developed via a green method using Citrus latifolia extract for the photodegradation of Rose Bengal (RB) dye via heterogeneous photocatalysis. In this regard, gLiNbO 3 exhibited a semi-amorphous structure with a low crystallinity index (±32%); Li-O and Nb-O bands; a high surface area of 259 m 2 g −1 ; a porous, lamellar, and foliated morphology; and a band gap energy of 3.1 eV. For the central composite rotatable design of RB photodegradation, the ideal condition was [gLiNbO 3 ] of 0.3 g L −1 , [RB] of 5.8 mg L −1 , pH ≈ 5, and T = 25 ± 2 °C with 81% RB photodegradation, demonstrating an apparent rate of the pseudo-first-order of k = 0.0085 min −1 . In the study of RB photodegradation, the process is governed by the Type I mechanism (Radical), in which photogenerated holes (h + ) and the hydroxyl radical ( • OH − ) are the primary oxidizing species. The reuse test demonstrated catalytic stability over five cycles, maintaining efficiency above 50%. Additionally, the use of machine learning allowed the capture of underlying chemical patterns related to the RB degradation mechanism, identifying intermediates that are not easily detectable. Therefore, gLiNbO 3 stands out as a promising platform for photocatalysis, with the scientific contribution being the validation of its photocatalytic functionality and the optimization of the RB mineralization process, paving the way for the development of catalysts for scalable environmental remediation.

Materials Today NanoVol. 35
Universidade de São Paulo (BR), Universidade Franciscana (BR), Universidade Federal de Pernambuco (BR), Centro de Tecnologias Estratégicas do Nordeste (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
Life in Land
Openalex Percentile: Top 20%
Advanced Photocatalysis Techniques
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