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Prediction of Cr6+ removal on the biosorbent from pine cone residue with machine learning simulations

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Author(s):
Bento, Joaquim G. G. S. ; Senra, Luidy F. ; Maia, Lana S. ; Almeida, Luana Souza ; Ferreira, Lucas M. ; Faria, Maria Ismenia S. T. ; Rosa, Derval S. ; Mulinari, Daniella R.
Total Authors: 8
Document type: Journal article
Source: SURFACES AND INTERFACES; v. 65, p. 14-pg., 2025-04-22.
Abstract

This study investigates the revalorization of pine cone residue as an efficient, low-cost, and eco-friendly biosorbent for the removal of hexavalent chromium (Cry*) from aqueous solutions. The material was characterized using techniques, including Brunauer-Emmett-Teller (BET) analysis, Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (ATR-FTIR), X-ray Diffraction (XRD), and Scanning Electron Microscopy (SEM). The adsorption conditions were optimized through experimental design, focusing on the effects of contact time, initial solution concentration, and pH. Furthermore, three machine learning models-multiple linear regression, decision tree regression, and random forest regression-were employed to predict the efficiency of Cry* removal. The optimized conditions resulted in a maximum removal efficiency of 90.84 % within a short contact time. Among the models tested, the decision tree regression achieved the highest predictive accuracy, with a correlation coefficient (R2) of 0.978. These findings underscore the potential of machine learning in modeling adsorption processes and highlight the importance of biosorbents in sustainable water treatment and revalorization of agricultural waste. (AU)

FAPESP's process: 23/14598-7 - DEVELOPMENT OF AEROGELS CONTAINING CELLULOSE MICROFIBERS AND CLAY FOR THE METAL IONS REMOVAL PRESENT IN CONTAMINATED WATER
Grantee:Lana Siqueira Maia
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 20/13703-3 - Environmentally friendly porous materials for the recovery and revaluation of metals reclaimed from contaminated water
Grantee:Derval dos Santos Rosa
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 21/14714-1 - Multi-user equipment approved in grant 2020/13703-3: Cromatógrafo de Íons Modular 940 Professional IC Vario
Grantee:Derval dos Santos Rosa
Support Opportunities: Multi-user Equipment Program