Revista UIS Ingenierías

Vol. 25 Núm. 2 (2026): Revista UIS Ingenierías
Artículos

Superficie de respuesta y regularización ridge en Ozonización Catalítica de lixiviados

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  • Dorance Becerra- Moreno,
  • Fiderman Machuca-Martínez ,
  • Joseph Soto-Verjel ,
  • Ángelo Soto-Vergel,
  • Luisa Ramírez-Ríos
Dorance Becerra- Moreno
Universidad Francisco de Paula Santander
Fiderman Machuca-Martínez
Universidad del Valle
Joseph Soto-Verjel
Universidad Francisco de Paula Santander
Ángelo Soto-Vergel
University at Buffalo
Luisa Ramírez-Ríos
Universidad de los Llanos
DOI: https://doi.org/10.18273/revuin.v25n2-2026003

Publicado 2026-04-27

Palabras clave

  • demanda química de oxígeno,
  • lixiviados de relleno sanitario,
  • modelado y optimización,
  • ozonización catalítica,
  • validación cruzada Leave-One-Out (LOO-CV)

Cómo citar

Becerra- Moreno, D., Machuca-Martínez , F., Soto-Verjel , J., Soto-Vergel, Ángelo, & Ramírez-Ríos , L. (2026). Superficie de respuesta y regularización ridge en Ozonización Catalítica de lixiviados. Revista UIS Ingenierías, 25(2), 23–38. https://doi.org/10.18273/revuin.v25n2-2026003

Derechos de autor 2026 Revista UIS Ingenierías

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-SinDerivadas 4.0.

Resumen

Landfill leachate treatment is an environmental challenge due to its high organic load and recalcitrant compounds. This study assessed the efficiency of catalytic ozonation (OC) with magnetite (Fe₃O₄) for Chemical Oxygen Demand (COD) removal using a Response Surface Methodology (RSM) model with Ridge regularization. The effects of ozone dosage, catalyst concentration, pH, and treatment time were analyzed in two distinct leachates.

 

The best results were achieved at pH 9, 2.5 g.L-1 of catalyst, and 120 min of contact time, with the maximum ozone dose (6 g.h-1). A nonlinear relationship was identified between ozone dosage and process efficiency. The predictive model remained stable under ±5% experimental variations, validating its applicability in real-world conditions. These findings confirm the potential of OC with magnetite as an effective strategy for landfill leachate treatment.

 

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  1. [1] F. Mohebbi, R. Dehghani, F. Tarazouj, M. Akbari, M. Rovan, and G. Mostafaii, “An overview of comparing chemical oxygen demand removal methods from landfill leachate,” International Archives of Health Sciences, vol. 8, no. 3, pp. 1–6, 2021, doi: https://doi.org/10.4103/iahs.iahs_43_21
  2. [2] E. Caroline Baettker, C. Kozak, H. G. Knapik, and M. M. Aisse, “Applicability of conventional and non-conventional parameters for municipal landfill leachate characterization,” Chemosphere, vol. 251, pp. 1–11, Jul. 2020, doi: https://doi.org/10.1016/j.chemosphere.2020.126414
  3. [3] A. Detho, Z. Daud, M. A. Rosli, M. B. Bin Ridzuan, and H. Awang, “Reduction of COD and ammoniacal nitrogen from landfill leachate using granular activated carbon and green mussel adsorbent,” Desalination Water Treat, vol. 223, pp. 218–226, May 2021, doi: https://doi.org/10.5004/dwt.2021.27140
  4. [4] S. Zarei, N. Fallah, and M. Mohseni, “Catalytic ozonation of a petrochemical wastewater containing high concentration of dinitrotoluene,” Journal of Water Process Engineering, vol. 56, pp. 1–17, Dec. 2023, doi: https://doi.org/10.1016/j.jwpe.2023.104355
  5. [5] S. N. Malik, P. C. Ghosh, A. N. Vaidya, and S. N. Mudliar, “Hybrid ozonation process for industrial wastewater treatment: Principles and applications: A review,” Journal of Water Process Engineering, vol. 35, pp. 1–21, Jun. 2020, doi: https://doi.org/10.1016/j.jwpe.2020.101193
  6. [6] A. Lourens, A. Falch, and R. Malgas-Enus, “Magnetite immobilized metal nanoparticles in the treatment and removal of pollutants from wastewater: a review,” J Mater Sci, vol. 58, no. 7, pp. 2951–2970, Feb. 2023, doi: https://doi.org/10.1007/s10853-023-08167-2 .
  7. [7] Q. Zhao et al., “Biomass Cellulose-Derived Carbon Aerogel Supported Magnetite-Copper Bimetallic Heterogeneous Fenton-like Catalyst Towards the Boosting Redox Cycle of ≡Fe(III)/≡Fe(II),” Nanomaterials, vol. 15, no. 8, pp. 1–20, Apr. 2025, doi: https://doi.org/10.3390/nano15080614
  8. [8] S. Zhang et al., “Round-the-clock degradation of pharmaceutical pollutants by photocatalytic and catalytic ozonation based on bifunctional MIL-100(Fe) catalyst,” Water Res, vol. 284, pp. 1–12, Sep. 2025, doi: https://doi.org/10.1016/j.watres.2025.124017
  9. [9] M. Amini, S. M. P. Hosseini, and N. Chaibakhsh, “High-performance NiO@Fe3O4 magnetic core–shell nanocomposite for catalytic ozonation degradation of pharmaceutical pollution,” Environmental Science and Pollution Research, vol. 30, no. 43, pp. 98063–98075, Aug. 2023, doi: https://doi.org/10.1007/s11356-023-29326-7
  10. [10] N. Banić et al., “Rapid Removal of Organic Pollutants from Aqueous Systems under Solar Irradiation Using ZrO2/Fe3O4 Nanoparticles,” Molecules, vol. 27, no. 22, pp. 1–18, Nov. 2022, doi: https://doi.org/10.3390/molecules27228060
  11. [11] H. T. M. Tran et al., “Two-step reaction using Fenton and ozone in advanced oxidation processes (AOPs) for removing chlorophenoxyacetic acid herbicides from water,” Environmental Science and Pollution Research, vol. 32, no. 31, pp. 18678–18693, Jul. 2025, doi: https://doi.org/10.1007/s11356-025-36731-7
  12. [12] D. Becerra-Moreno, F. Machuca-Martínez, L. F. Ramírez-Rios, J. B. García-Martínez, and A. F. Barajas-Solano, “Synergistic Degradation of Organic Contaminants in Landfill Leachates Using Catalytic Ozonation with Magnetite,” Sci, vol. 7, no. 1, pp. 1–29, Mar. 2025, doi: https://doi.org/10.3390/sci7010031
  13. [13] D. Becerra-Moreno, A. Zuorro, F. Machuca-Martínez, L. F. Ramírez-Rios, J. B. García-Martínez, and A. F. Barajas-Solano, “Coupling Advanced Oxidation and Anaerobic Treatment for Landfill Leachate: Magnetite-Catalyzed Ozone and USAB Reactor Efficiency,” Inorganics (Basel), vol. 13, no. 7, pp. 1–24, Jun. 2025, doi: https://doi.org/10.3390/inorganics13070218
  14. [14] M. Kaleem et al., “Biogenic synthesis of iron oxide nanoparticles and experimental modeling studies on the removal of heavy metals from wastewater,” Journal of Saudi Chemical Society, vol. 28, no. 1, pp. 1–10, Jan. 2024, doi: https://doi.org/10.1016/j.jscs.2023.101777
  15. [15] M. Kermani, B. Kakavandi, M. Farzadkia, A. Esrafili, S. F. Jokandan, and A. Shahsavani, “Catalytic ozonation of high concentrations of catechol over TiO2@Fe3O4 magnetic core-shell nanocatalyst: Optimization, toxicity and degradation pathway studies,” J Clean Prod, vol. 192, pp. 597–607, Aug. 2018, doi: https://doi.org/10.1016/j.jclepro.2018.04.274
  16. [16] S. S. Djimtoingar, N. S. A. Derkyi, F. A. Kuranchie, and J. K. Yankyera, “A review of response surface methodology for biogas process optimization,” Cogent Eng, vol. 9, no. 1, pp. 1–35, Dec. 2022, doi: https://doi.org/10.1080/23311916.2022.2115283
  17. [17] H. Zaid, Z. Al-sharify, M. H. Hamzah, and S. Rushdi, “Optimization Of Different Chemical Processes Using Response Surface Methodology- A Review,” Journal of Engineering and Sustainable Development, vol. 26, no. 6, pp. 1–12, Nov. 2022, doi: https://doi.org/10.31272/jeasd.26.6.1
  18. [18] M. A. Hadiyat, B. M. Sopha, and B. S. Wibowo, “Response Surface Methodology Using Observational Data: A Systematic Literature Review,” Applied Sciences, vol. 12, no. 20, pp. 1–23, Oct. 2022, doi: https://doi.org/10.3390/app122010663
  19. [19] D. Ergene, A. Aksoy, and F. Dilek Sanin, “Comprehensive analysis and modeling of landfill leachate,” Waste Management, vol. 145, pp. 48–59, May 2022, doi: https://doi.org/10.1016/j.wasman.2022.04.030
  20. [20] C. Winship and B. Western, “Multicollinearity and Model Misspecification,” Sociol Sci, vol. 3, pp. 627–649, 2016, doi: https://doi.org/10.15195/v3.a27
  21. [21] M. Zhang et al., “Distribution and Property Prediction of Microplastics in Landfill Leachate under Different Treatment Processes Using Knowledge Graph-Enhanced Molecular Contrastive Learning,” Water Res, vol. 286, pp. 1–10, Nov. 2025, doi: https://doi.org/10.1016/j.watres.2025.124244
  22. [22] V. K. Gaur et al., “Integrating advanced techniques and machine learning for landfill leachate treatment: Addressing limitations and environmental concerns,” Environmental Pollution, vol. 354, pp. 1–17, Aug. 2024, doi: https://doi.org/10.1016/j.envpol.2024.124134
  23. [23] A. Al-Saffar and H. T. Mohammed Ali, “Using Power Transformations in Response Surface Methodology,” in 2022 International Conference on Computer Science and Software Engineering (CSASE), IEEE, Mar. 2022, pp. 374–379, doi: https://doi.org/10.1109/CSASE51777.2022.9759781
  24. [24] M. P. Arancibia-Bravo, F. A. Lucay, F. D. Sepúlveda, L. Cortés, and L. A. Cisternas, “Response Surface Methodology for Copper Flotation Optimization in Saline Systems,” Minerals, vol. 12, no. 9, pp. 1–20, Sep. 2022, doi: https://doi.org/10.3390/min12091131
  25. [25] V. Reungoat, M. Chadni, and I. Ioannou, “Response Surface Methodology Applied to the Optimization of Phenolic Compound Extraction from Brassica,” in Response Surface Methodology in Engineering Science, IntechOpen, 2021, pp. 1–15, doi: https://doi.org/10.5772/intechopen.97655
  26. [26] G. E. P. Box and D. R. Cox, “An Analysis of Transformations,” J R Stat Soc Series B Stat Methodol, vol. 26, no. 2, pp. 211–243, Jul. 1964, doi: https://doi.org/10.1111/j.2517-6161.1964.tb00553.x
  27. [27] G. James, D. Witten, T. Hastie, and R. Tibshirani, An Introduction to Statistical Learning. New York, NY: Springer US, 2021, doi: https://doi.org/10.1007/978-1-0716-1418-1
  28. [28] American Public Health Association (APHA), American Water Works Association (AWWA), and merican Water Works Association (AWWA), “Standard Methods for the Examination of Water and Wastewater - 24th Edition,” Washington DC, 2023.
  29. [29] P. H. Presumido et al., “Ozone membrane contactor to intensify gas/liquid mass transfer and contaminants of emerging concern oxidation,” J Environ Chem Eng, vol. 10, no. 6, pp. 1–13, Dec. 2022, doi: https://doi.org/10.1016/j.jece.2022.108671
  30. [30] W. L. Stevens, “The Logarithmic Transformation,” Nature, vol. 158, no. 4018, pp. 622–622, Nov. 1946, doi: https://doi.org/10.1038/158622b0
  31. [31] J. I. Vélez, J. C. Correa, and F. Marmolejo-Ramos, “A new approach to the Box–Cox transformation,” Front Appl Math Stat, vol. 1, pp. 1–10, Oct. 2015, doi: https://doi.org/10.3389/fams.2015.00012
  32. [32] V. W. Wessel N., “Lecture notes on ridge regression,” Cornell University, 2015, doi: https://doi.org/10.48550/arXiv.1509.09169
  33. [33] V. Lumumba, D. Kiprotich, M. Mpaine, N. Makena, and M. Kavita, “Comparative Analysis of Cross-Validation Techniques: LOOCV, K-folds Cross-Validation, and Repeated K-folds Cross-Validation in Machine Learning Models,” American Journal of Theoretical and Applied Statistics, vol. 13, no. 5, pp. 127–137, Oct. 2024, doi: https://doi.org/10.11648/j.ajtas.20241305.13
  34. [34] M. Rostampour, A. Unveren, and A. Acan, “A Novel Particle Filter Optimization Algorithm for the solution of Single-objective Numerical Optimization Problems,” in Proceedings of the Cognitive Models and Artificial Intelligence Conference, New York, NY, USA: ACM, May 2024, pp. 202–207, doi: https://doi.org/10.1145/3660853.3660914
  35. [35] C. Ahmad, E. Denis A., and T. Bertrand, “Statistically Valid Variable Importance Assessment through Conditional Permutations,” Cornell University, 2023, doi: https://doi.org/10.48550/arXiv.2309.07593
  36. [36] J. Blanchet, P. Cui, J. Li, and J. Liu, “Stability Evaluation via Distributional Perturbation Analysis,” Cornell University, 2024, doi: https://doi.org/10.48550/arXiv.2405.03198
  37. [37] E. Noerfitriyani, D. M. Hartono, S. S. Moersidik, and I. Gusniani, “Impact of Leachate Discharge from Cipayung Landfill on Water Quality of Pesanggrahan River, IndonesiaImpact of Leachate Discharge from Cipayung Landfill on Water Quality of Pesanggrahan River, Indonesia ,” IOP Conf Ser Earth Environ Sci, vol. 120, pp. 1–9, Mar. 2018, doi: https://doi.org/10.1088/1755-1315/120/1/012002
  38. [38] A. Detho, A. Abdul Kadir, and M. A. Azhar, “Comparative Analysis of Contaminant Levels in Leachate and Soil from Young and Old Landfills,” Pertanika J Sci Technol, vol. 32, no. 5, pp. 2299–2312, Aug. 2024, doi: https://doi.org/10.47836/pjst.32.5.20
  39. [39] R. B. Brennan, E. Clifford, C. Devroedt, L. Morrison, and M. G. Healy, “Treatment of landfill leachate in municipal wastewater treatment plants and impacts on effluent ammonium concentrations,” J Environ Manage, vol. 188, pp. 64–72, Mar. 2017, doi: https://doi.org/10.1016/j.jenvman.2016.11.055
  40. [40] M. Gómez, F. Corona, and M. D. Hidalgo, “Variations in the properties of leachate according to landfill age,” Desalination Water Treat, vol. 159, pp. 24–31, Aug. 2019, doi: https://doi.org/10.5004/dwt.2019.24106
  41. [41] C. He, J. Wang, C. Wang, C. Zhang, P. Hou, and X. Xu, “Catalytic ozonation of bio-treated coking wastewater in continuous pilot- and full-scale system: Efficiency, catalyst deactivation and in-situ regeneration,” Water Res, vol. 183, p. 116090, Sep. 2020, doi: https://doi.org/10.1016/j.watres.2020.116090
  42. [42] Y. Li et al., “Accurate prediction and intelligent control of COD and other parameters removal from pharmaceutical wastewater using electrocoagulation coupled with catalytic ozonation process,” Water Environment Research, vol. 96, no. 8, Aug. 2024, doi: https://doi.org/10.1002/wer.11099
  43. [43] H. B. Bastos, L. L. S. Silva, É. C. A. N. Chrisman, F. V. Fonseca, and J. C. Campos, “Optimization of ozonation process for organic matter and ecotoxicity removal from landfill leachate by applying rotatable central composite design (RCCD),” Journal of Environmental Science and Health, Part A, vol. 56, no. 14, pp. 1457–1470, Dec. 2021, doi: https://doi.org/10.1080/10934529.2021.2006543
  44. [44] I. Y. Septiariva, I. W. K. Suryawan, N. K. Sari, and A. Sarwono, “Impact of Salinity on Stabilized Leachate Treatment from Ozonation Process,” Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1511–1516, Dec. 2020, doi: https://doi.org/10.25046/aj0506181
  45. [45] L. T. Hoffmann, M. C. B. Jorge, A. G. do Amaral, M. C. Bongiovani, and R. M. Schneider, “Ozonation as a pre-treatment of landfill leachate,” Ambiente e Agua - An Interdisciplinary Journal of Applied Science, vol. 15, no. 6, pp. 1–12, Nov. 2020, doi: https://doi.org/10.4136/ambi-agua.2592
  46. [46] R. Kidak, M. N. Qadir, and F. H. Aziz, “Optimization of H2O2 and ozone-based advanced oxidation processes as pretreatment of sanitary landfill leachate,” Desalination Water Treat, vol. 203, pp. 119–128, Nov. 2020, doi: https://doi.org/10.5004/dwt.2020.26238
  47. [47] S. Khurshid, A. R. Quaff, and R. Jha, “Treatment of Atrazine through Ozonation: Effect of Contact Time on COD and Atrazine Removal,” Res J Chem Environ, vol. 28, no. 1, pp. 85–90, Dec. 2023, doi: https://doi.org/10.25303/281rjce85090
  48. [48] E. R. Toroz et al., “Effects of Ozone Dose and Contact Time on Ozonation Process Performance for Treatment of High Rate Activated Sludge Process Effluent,” Ozone Sci Eng, vol. 45, no. 5, pp. 431–445, Sep. 2023, doi: https://doi.org/10.1080/01919512.2022.2157243
  49. [49] Y. Li et al., “Accurate prediction and intelligent control of COD and other parameters removal from pharmaceutical wastewater using electrocoagulation coupled with catalytic ozonation process,” Water Environment Research, vol. 96, no. 8, Aug. 2024, doi: https://doi.org/10.1002/wer.11099
  50. [50] J. A. Lara-Ramos, M. A. Figueroa Angulo, F. Machuca-Martínez, and M. A. Mueses, “Sensitivity Analysis of the Catalytic Ozonation under Different Kinetic Modeling Approaches in the Diclofenac Degradation,” Water (Basel), vol. 13, no. 21, pp. 1–23, Oct. 2021, doi: https://doi.org/10.3390/w13213003
  51. [51] R. Singh, P. Bhunia, and R. R. Dash, “COD removal index — A mechanistic tool for predicting organics removal performance of vermifilters,” Science of The Total Environment, vol. 643, pp. 1652–1659, Dec. 2018, doi: https://doi.org/10.1016/j.scitotenv.2018.07.272