Fe3O4 Magnetic Biochar Derived from Pecan Nutshell for Arsenic Removal Performance Analysis Based on Fuzzy Decision Network
This study evaluates Fe3O4 magnetic biochar synthesized from pecan nutshells for arsenic removal. Surface modification with Fe3O4 significantly enhanced arsenic adsorption selectivity and efficiency compared to raw biomass (PM). Synthesis variables (precursor type, particle size, Fe/precursor ratio, N2) and adsorption conditions (such as concentration, pH, agitation) were investigated. The modified biochar achieved >90% arsenic removal efficiency under various conditions, demonstrating the modification’s critical role. A fuzzy decision network was employed to analyze experimental results and identify optimal conditions for maximizing performance. This approach effectively leverages knowledge for scenario-specific optimization, offering a sustainable strategy for advanced water treatment materials.
Authors
- Lourdes Díaz‐Jiménez (ORCID: https://orcid.org/0000-0001-5942-4658)
- Audberto Reyes-Rosas (ORCID: https://orcid.org/0009-0003-4474-970X)
- Chidentree Treesatayapun (ORCID: https://orcid.org/0000-0002-8574-672X)
- Victoria Bustos‐Terrones (ORCID: https://orcid.org/0000-0002-4185-7540)
- Prócoro Gamero-Melo (ORCID: https://orcid.org/0000-0001-6733-2032)
- Alejandro Zermeño-González (ORCID: https://orcid.org/0000-0003-4137-9638)
- Sasirot Khamkure (ORCID: https://orcid.org/0000-0002-1915-7863)
- Daniella Esperanza Pacheco-Catalán (ORCID: https://orcid.org/0000-0003-3412-7459)
Institutions
- Instituto Tecnológico de Saltillo (MX)
- Secretaría de Investigación, Innovación y Educación Superior (MX)
- Autonomous University of Yucatán (MX)
- Universidad Politecnica del Estado de Morelos (MX)
- Instituto Politécnico Nacional (MX)
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
- Universidad Autónoma Agraria Antonio Narro (MX)
Publication Details
- Published
- 2025-09-01
- DOI
- https://doi.org/10.3390/engproc2025107047
- Citations
- 1
- Primary Topic
- Arsenic contamination and mitigation
- Type
- article
- Field-Weighted Citation Impact
- 0.86