JOURNAL ARTICLE
Multifunctional characterization of cement- Sargassum composites for application as bioconstruction materials.
Published In: Journal of Building Physics, 2025, v. 48, n. 5. P. 794 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: López-Sosa, Luis Bernardo; Rodríguez-Torres, Gerardo Manuel; Rodríguez-Martínez, Rosa E; Herrera-Ramírez, Martín; Corral-Huacuz, Juan Carlos; García, Carlos A; Morales-Máximo, Mario 3 of 3
Abstract
This article focuses on the development and evaluation of sustainable construction materials incorporating pelagic brown algae of the genus Sargassum, which has caused significant environmental and economic challenges due to massive influxes on Caribbean beaches since 2011. By partially substituting sand with 5 wt.% and 7.5 wt.% ground and washed Sargassum in Portland cement mortars, the study demonstrates that the resulting composites exhibit acceptable mechanical strength for coating applications, improved thermal insulation properties, and enhanced solar absorptance. A prospective analysis for housing in Quintana Roo, Mexico, estimates that using these materials in 5% of households could reduce annual air conditioning energy consumption by approximately 67 GWh, yielding economic savings and significant reductions in greenhouse gas emissions. The research highlights the potential of valorizing Sargassum biomass within a circular economy framework, while noting challenges such as durability, pollutant absorption by the algae, and the need for regulatory frameworks to support industrial use.
Additional Information
- Source:Journal of Building Physics. 2025/03, Vol. 48, Issue 5, p794
- Document Type:Article
- Subject Area:Construction and Building
- Publication Date:2025
- ISSN:1744-2591
- DOI:10.1177/17442591241276396
- Accession Number:183602071
- Copyright Statement:Copyright of Journal of Building Physics is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.