Revista Mexicana de Ingeniería Química, Vol. 22, No. 2 (2023), IA2330


Characterization of sediments from the upper basin of the Lerma River, Mexico: Microbiome and biomethane potential

R. Aguilar-Vilchis, I.A. Hernández-Rodríguez, G. González-Blanco, L.M Hernández-Soto, J.F. Aguirre-Garrido, R. Beristain-Cardoso

https://doi.org/10.24275/rmiq/IA2330


Abstract

 

The Lerma River's high pollution has changed its environmental conditions. Therefore, in batch cultures, the present work characterized the sediments from the Lerma River, where the methane production and the structure of the microflora were evaluated in three sampling points. Biomass was taken from an anaerobic Waste Water Treatment Plant (WWTP) as a control sludge. Results showed that the glucose degradation rate of the control was 48 times faster than the degradation rate of the sediments; however, the substrate degradation rates presented by the three sediments were similar, with chemical oxygen demand (COD) removal efficiencies higher than 95%. Regarding the Biomethane Potential (BMP), the control and the three sediments presented high BMP. Finally, the sediments showed the potential to produce methane, and the main microflora identified in the sediments were delta-proteobacteria, beta-proteobacteria, clostridia, bacteroidia, and methanomicrobia; these classes are involved in each stage of anaerobic digestion.

Keywords: Anaerobic-sludge, sediments, BMP, microflora, methane, river.

 

References

  • Aguirre-Garrido, J. F., Ramírez-Saad, H. C., Toro, N. and Martínez-Abarca, F. (2016). Bacterial diversity in the soda saline crater lake from Isabel Island, Mexico. Microbial Ecology 71, 68–77. https://doi.org/10.1007/s00248-015-0676-6
  • Ali, N., Gong, H., Liu, X., Giwa, A. S. and Wang, K. (2020). Evaluation of bacterial association in methane generation pathways of an anaerobic digesting sludge via metagenomic sequencing. Archives of Microbiology 202, 31–41. DOI: 10.1007/s00203-019-01716-x
  • APHA, 2005. Standard Methods of Water and Wastewater. 21st Edn., American Public Health Association, Washington, DC., ISBN: 0875530478, pp: 2-61.
  • Ariesyady, H. D., Ito, T. and Okabe, S. (2007). Functional bacterial and archaeal community structures of major trophic groups in a full-scale anaerobic sludge digester. Water Research 41, 1554–1568. DOI: 10.1016/j.watres.2006.12.036
  • Barceló-Quintal, I.D., B. Q., Salazar-Pelaez, M.L., García-Albortante, J., A., Domínguez-Mariani, E., López-Chuken, U.J. and Gómez-Salazar S. (2013). Evaluation of water quality index in Lerma River upper basin. Journal of Environmental Protection 2013. DOI:10.4236/jep.2013.47A012
  • Carreño, C., Zarazúa, G., Fall, C., Ávila-Pérez, P. and Tejeda, S. (2018). Evaluación de la toxicidad de los sedimentos del curso alto del río lerma, México. Revista Internacional de Contaminación Ambiental 34, 117–126. https://doi.org/10.20937/RICA.2018.34.01.1
  • Fernández, N., Díaz, E. E., Amils, R. and Sanz, J. L. (2008). Analysis of microbial community during biofilm development in an anaerobic wastewater treatment reactor. Microbial Ecology 56, 121–132. DOI: 10.1007/s00248-007-9330-2
  • González-Blanco, G., Valencia-Nava, A., Beristain-Cardoso, R., Hernández-Jaimes, C., Orozco-Villafuerte, J., & Buendía-González, L. (2017). Anammox activity of sludge coming from wetland monocots (Typha sp.): kinetic study. Revista Mexicana de Ingeniería Química 16, 555–561. http://www.redalyc.org/articulo.oa?id=62052087020
  • Hernández-Mendoza, H., Ríos-Lugo, M. J., Romero-Guzmán, E. T., Reyes-Gutiérrez, L. R. and Ketterer, M.E. (2018). Heavy metals monitoring in sediments from Lerma River in West-Central Mexico. American Journal of Analytical Chemistry 9, 77-87. DOI: 10.4236/ajac.2018.92007
  • Liang, R., Duncan, K. E., Le Borgne, S., Davidova, I., Yakimov, M. M. and Suflita, J. M. (2017). Microbial activities in hydrocarbon-laden wastewaters: impact on diesel fuel stability and the biocorrosion of carbon steel. Journal of Biotechnology 256, 68–75. https://doi.org/10.1016/j.jbiotec.2017.02.021
  • Mora, A., García-Gamboa, M., Sánchez-Luna, M. S., Gloria-García, L., Cervantes-Avilés, P. and Mahlknecht, J. (2021). A review of the current environmental status and human health implications of one of the most polluted rivers of Mexico: The Atoyac River, Puebla. Science of the Total Environment 782, 146788. https://doi.org/10.1016/j.scitotenv.2021.146788
  • Owen, W. F., Stuckey, D. C., Healy Jr, J. B., Young, L. Y. and McCarty, P. L. (1979). Bioassay for monitoring biochemical methane potential and anaerobic toxicity. Water Research 13, 485–492. https://doi.org/10.1016/0043-1354(79)90043-5
  • Romualdo-Martínez, I. V., Hernández-Rodríguez, A. I., González-Blanco, G. and Beristain-Cardoso, R. (2022). Metabolic and kinetic changes of activated sludge because of failures in the aeration system in a WWTP. Revista Mexicana de Ingeniería Química 21, IA2914–IA2914. https://doi.org/10.24275/rmiq/IA2914
  • Salinas Tapia, H., Flores Gutiérrez, L., García Aragón, J. A., Tejeda, S. and López Rebollar, B. (2015). Modelación del curso alto del río lerma (carl), utilizando qual2kw, considerando la distribución y variación de nitrógeno amoniacal y nitrógeno como nitratos. Aqua.LAC 8, 34–43. DOI: 10.29104/phi-aqualac/2016-v8-1-04
  • Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B...  and Weber, C.F. (2009). Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Applied and Environmental Microbiology75, 7537–7541. DOI: 10.1128/AEM.01541-09
  • Tabatabaei, M., Rahim, R. A., Abdullah, N., Wright, A. D. G., Shirai, Y., Sakai, K... and Hassan, M. A. (2010). Importance of the methanogenic archaea populations in anaerobic wastewater treatments. Process Biochemistry 45, 1214–1225. https://doi.org/10.1016/j.procbio.2010.05.017
  • Traversi, D., Villa, S., Lorenzi, E., Degan, R. and Gilli, G. (2012). Application of a real-time qPCR method to measure the methanogen concentration during anaerobic digestion as an indicator of biogas production capacity. Journal of Environmental Management 111, 173–177. DOI: 10.1016/j.jenvman.2012.07.021
  • Wang, Q., Garrity, G. M., Tiedje, J. M. and Cole, J. R. (2007). Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Applied and Environmental Microbiology 73, 5261–5267. DOI: 10.1128/AEM.00062-07  
  • Yu, Z., Wen, X., Xu, M., & Huang, X. (2012). Characteristics of extracellular polymeric substances and bacterial communities in an anaerobic membrane bioreactor coupled with online ultrasound equipment. Bioresource Technology 117, 333–340. https://doi.org/10.1016/j.biortech.2012.04.075