Mathematical modeling for operative improvement of the decoloration of Acid Red 27 by a novel microbial consortium of Trametes versicolor and Pseudomonas putida: A multivariate sensitivity analysis
In this work, it is presented a first approach of a mathematical and kinetic analysis for improving the decoloration and further degradation process of an azo dye named acid red 27 (AR27), by means of a novel microbial consortium formed by the fungus Trametes versicolor and the bacterium Pseudomonas...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023090011 |
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| author | L.A. Martínez-Castillo C.A. González-Ramírez A. Cortazar-Martínez J.R. González-Reyes E.M. Otazo-Sánchez J.R. Villagómez-Ibarra R. Velázquez-Jiménez G.M. Vázquez-Cuevas A. Madariaga-Navarrete O.A. Acevedo-Sandoval C. Romo-Gómez |
| author_facet | L.A. Martínez-Castillo C.A. González-Ramírez A. Cortazar-Martínez J.R. González-Reyes E.M. Otazo-Sánchez J.R. Villagómez-Ibarra R. Velázquez-Jiménez G.M. Vázquez-Cuevas A. Madariaga-Navarrete O.A. Acevedo-Sandoval C. Romo-Gómez |
| author_sort | L.A. Martínez-Castillo |
| collection | DOAJ |
| description | In this work, it is presented a first approach of a mathematical and kinetic analysis for improving the decoloration and further degradation process of an azo dye named acid red 27 (AR27), by means of a novel microbial consortium formed by the fungus Trametes versicolor and the bacterium Pseudomonas putida. A multivariate analysis was carried out by simulating scenarios with different operating conditions and developing a specific mathematical model based on kinetic equations describing all stages of the biological process, from microbial growth and substrate consuming to decoloration and degradation of intermediate compounds. Additionally, a sensitivity analysis was performed by using a factorial design and the Response Surface Method (RSM), for determining individual and interactive effects of variables like, initial glucose concentration, initial dye concentration and the moment in time for bacterial inoculation, on response variables assessed in terms of the minimum time for: full decoloration of AR27 (R1 = 2.375 days); maximum production of aromatic metabolites (R2 = 1.575 days); and full depletion of aromatic metabolites (R3 = 12.9 days). Using RSM the following conditions improved the biological process, being: an initial glucose concentration of 20 g l-1, an initial AR27 concentration of 0.2 g l-1 and an inoculation moment in time of P. putida at day 1. The mathematical model is a feasible tool for describing AR27 decoloration and its further degradation by the microbial consortium of T. versicolor and P. putida, this model will also work as a mathematical basis for designing novel bio-reaction systems than can operate with the same principle of the described consortium. |
| first_indexed | 2024-03-09T09:17:49Z |
| format | Article |
| id | doaj.art-6eb3639a48b24b82ac5675f07781a2ca |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-09T09:17:49Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-6eb3639a48b24b82ac5675f07781a2ca2023-12-02T07:04:15ZengElsevierHeliyon2405-84402023-11-01911e21793Mathematical modeling for operative improvement of the decoloration of Acid Red 27 by a novel microbial consortium of Trametes versicolor and Pseudomonas putida: A multivariate sensitivity analysisL.A. Martínez-Castillo0C.A. González-Ramírez1A. Cortazar-Martínez2J.R. González-Reyes3E.M. Otazo-Sánchez4J.R. Villagómez-Ibarra5R. Velázquez-Jiménez6G.M. Vázquez-Cuevas7A. Madariaga-Navarrete8O.A. Acevedo-Sandoval9C. Romo-Gómez10Universidad Autónoma del Estado de Hidalgo, Área Académica de Química, Instituto de Ciencias Básicas e Ingeniería, Carr. Pachuca-Tulancingo km. 4.5, Col. Carboneras, Mineral de la Reforma, Hidalgo, C.P. 42184, MexicoUniversidad Autónoma del Estado de Hidalgo, Área Académica de Química, Instituto de Ciencias Básicas e Ingeniería, Carr. Pachuca-Tulancingo km. 4.5, Col. Carboneras, Mineral de la Reforma, Hidalgo, C.P. 42184, Mexico; Corresponding author.Universidad Autónoma del Estado de Hidalgo, Escuela Superior de Apan, Carr. Apan-Calpulalpan, S/N, Col. Chimalpa Tlalayote, Apan, Hidalgo, C.P. 43920, MexicoInvestigación Aplicada al Bienestar Social y Ambiental (INABISA), A.C., Río Papagayo S/N, Col. Amp. El Palmar, Pachuca, Hidalgo, C.P. 42088, MexicoUniversidad Autónoma del Estado de Hidalgo, Área Académica de Química, Instituto de Ciencias Básicas e Ingeniería, Carr. Pachuca-Tulancingo km. 4.5, Col. Carboneras, Mineral de la Reforma, Hidalgo, C.P. 42184, MexicoUniversidad Autónoma del Estado de Hidalgo, Área Académica de Química, Instituto de Ciencias Básicas e Ingeniería, Carr. Pachuca-Tulancingo km. 4.5, Col. Carboneras, Mineral de la Reforma, Hidalgo, C.P. 42184, Mexico; Corresponding author.Universidad Autónoma del Estado de Hidalgo, Área Académica de Química, Instituto de Ciencias Básicas e Ingeniería, Carr. Pachuca-Tulancingo km. 4.5, Col. Carboneras, Mineral de la Reforma, Hidalgo, C.P. 42184, MexicoUniversidad Autónoma del Estado de Hidalgo, Área Académica de Química, Instituto de Ciencias Básicas e Ingeniería, Carr. Pachuca-Tulancingo km. 4.5, Col. Carboneras, Mineral de la Reforma, Hidalgo, C.P. 42184, MexicoUniversidad Autónoma del Estado de Hidalgo, Área Académica de Ciencias Agrícolas y Forestales, Instituto de Ciencias Agropecuarias, Carr. Tulancingo-Santiago Tulantepec S/N, Tulancingo, Hidalgo, C.P. 43600, MexicoUniversidad Autónoma del Estado de Hidalgo, Área Académica de Química, Instituto de Ciencias Básicas e Ingeniería, Carr. Pachuca-Tulancingo km. 4.5, Col. Carboneras, Mineral de la Reforma, Hidalgo, C.P. 42184, MexicoUniversidad Autónoma del Estado de Hidalgo, Área Académica de Química, Instituto de Ciencias Básicas e Ingeniería, Carr. Pachuca-Tulancingo km. 4.5, Col. Carboneras, Mineral de la Reforma, Hidalgo, C.P. 42184, MexicoIn this work, it is presented a first approach of a mathematical and kinetic analysis for improving the decoloration and further degradation process of an azo dye named acid red 27 (AR27), by means of a novel microbial consortium formed by the fungus Trametes versicolor and the bacterium Pseudomonas putida. A multivariate analysis was carried out by simulating scenarios with different operating conditions and developing a specific mathematical model based on kinetic equations describing all stages of the biological process, from microbial growth and substrate consuming to decoloration and degradation of intermediate compounds. Additionally, a sensitivity analysis was performed by using a factorial design and the Response Surface Method (RSM), for determining individual and interactive effects of variables like, initial glucose concentration, initial dye concentration and the moment in time for bacterial inoculation, on response variables assessed in terms of the minimum time for: full decoloration of AR27 (R1 = 2.375 days); maximum production of aromatic metabolites (R2 = 1.575 days); and full depletion of aromatic metabolites (R3 = 12.9 days). Using RSM the following conditions improved the biological process, being: an initial glucose concentration of 20 g l-1, an initial AR27 concentration of 0.2 g l-1 and an inoculation moment in time of P. putida at day 1. The mathematical model is a feasible tool for describing AR27 decoloration and its further degradation by the microbial consortium of T. versicolor and P. putida, this model will also work as a mathematical basis for designing novel bio-reaction systems than can operate with the same principle of the described consortium.http://www.sciencedirect.com/science/article/pii/S2405844023090011Textile wastewater treatmentMathematical modelAzo dyeResponse surface methodMicrobial consortium |
| spellingShingle | L.A. Martínez-Castillo C.A. González-Ramírez A. Cortazar-Martínez J.R. González-Reyes E.M. Otazo-Sánchez J.R. Villagómez-Ibarra R. Velázquez-Jiménez G.M. Vázquez-Cuevas A. Madariaga-Navarrete O.A. Acevedo-Sandoval C. Romo-Gómez Mathematical modeling for operative improvement of the decoloration of Acid Red 27 by a novel microbial consortium of Trametes versicolor and Pseudomonas putida: A multivariate sensitivity analysis Heliyon Textile wastewater treatment Mathematical model Azo dye Response surface method Microbial consortium |
| title | Mathematical modeling for operative improvement of the decoloration of Acid Red 27 by a novel microbial consortium of Trametes versicolor and Pseudomonas putida: A multivariate sensitivity analysis |
| title_full | Mathematical modeling for operative improvement of the decoloration of Acid Red 27 by a novel microbial consortium of Trametes versicolor and Pseudomonas putida: A multivariate sensitivity analysis |
| title_fullStr | Mathematical modeling for operative improvement of the decoloration of Acid Red 27 by a novel microbial consortium of Trametes versicolor and Pseudomonas putida: A multivariate sensitivity analysis |
| title_full_unstemmed | Mathematical modeling for operative improvement of the decoloration of Acid Red 27 by a novel microbial consortium of Trametes versicolor and Pseudomonas putida: A multivariate sensitivity analysis |
| title_short | Mathematical modeling for operative improvement of the decoloration of Acid Red 27 by a novel microbial consortium of Trametes versicolor and Pseudomonas putida: A multivariate sensitivity analysis |
| title_sort | mathematical modeling for operative improvement of the decoloration of acid red 27 by a novel microbial consortium of trametes versicolor and pseudomonas putida a multivariate sensitivity analysis |
| topic | Textile wastewater treatment Mathematical model Azo dye Response surface method Microbial consortium |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023090011 |
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