| Autor: |
Aguayo-Acosta A; Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico.; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico., Jiménez-Rodríguez MG; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico., Silva-Lance F; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico., Oyervides-Muñoz MA; Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico.; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico., Armenta-Castro A; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico., de la Rosa O; Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico.; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico., Ovalle-Carcaño A; Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico.; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico., Melchor-Martínez EM; Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico.; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico., Aghalari Z; Faculty of Public Health, Babol University of Medical Sciences, Babol 47176-47754, Iran., Parra-Saldívar R; Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico.; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico., Sosa-Hernández JE; Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Mexico.; School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico. |
| Abstrakt: |
Although wastewater-based surveillance (WBS) is an efficient community-wide surveillance tool, its implementation for pathogen surveillance remains limited by ineffective sample treatment procedures, as the complex composition of wastewater often interferes with biomarker recovery. Moreover, current sampling protocols based on grab samples are susceptible to fluctuant biomarker concentrations and may increase operative costs, often rendering such systems inaccessible to communities in low-to-middle-income countries (LMICs). As a response, passive samplers have emerged as a way to make wastewater sampling more efficient and obtain more reliable, consistent data. Therefore, this study aims to review recent developments in passive sampling technologies to provide researchers with the tools to develop novel passive sampling strategies. Although promising advances in the development of nanostructured passive samplers have been reported, optimization remains a significant area of opportunity for researchers in the area, as methods for flexible, robust adsorption and recovery of viral genetic materials would greatly improve the efficacy of WBS systems while making them more accessible for communities worldwide. |
