Microbiological and Physicochemical Parameters Related to Legionella spp. Colonisation in Hot Water Distribution Systems in Madrid: Case Study in Sports Centres

Domestic hot water systems are one of the most important reservoirs of Legionella. It is thought that physicochemical and microbiological water quality influences bacterial development. Accordingly, the objective of this study was to evaluate this relationship in domestic hot water in public buildings in Madrid for potential health risks and to assess the parameters that could be associated with Legionella contamination, which would assist in developing control strategies to prevent legionellosis. A total of 1695 DHW samples were evaluated over a 14-year period (2007–2020). Legionella was analysed using culture plates and qPCR. The influencing parameters (pH, electrical conductivity, colour, turbidity, Fe nitrites, and coliforms) were analysed following official methods. Furthermore, sport centre risk assessment was carried out. Legionella was isolated in 64 samples. Non-compliance levels for turbidity, colour, iron, nitrites and coliforms were found primarily in samples containing Legionella. Nitrites > 0.5 mg/L, turbidity > 1 NFU, colour ≥ 1 Pt/Co, and building type were good parameters to test Legionella colonisation. The selected influencing factors may be a useful tool for ensuring water supply quality.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2026-02-05
DOI
https://doi.org/10.3390/app16031628
Primary Topic
Legionella and Acanthamoeba research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microbiological and Physicochemical Parameters Related to Legionella spp. Colonisation in Hot Water Distribution Systems in Madrid: Case Study in Sports Centres

María José Villanueva-Suarez, María Dolores Tenorio-Sanz, Ma Concepción Almonacid Garrido, Alejandra Garcia-Alonso
Applied Sciences
Legionella and Acanthamoeba research
article

Microbiological and Physicochemical Parameters Related to Legionella spp. Colonisation in Hot Water Distribution Systems in Madrid: Case Study in Sports Centres

María José Villanueva-Suarez, María Dolores Tenorio-Sanz, Ma Concepción Almonacid Garrido, Alejandra Garcia-Alonso
article en

Abstract

Domestic hot water systems are one of the most important reservoirs of Legionella. It is thought that physicochemical and microbiological water quality influences bacterial development. Accordingly, the objective of this study was to evaluate this relationship in domestic hot water in public buildings in Madrid for potential health risks and to assess the parameters that could be associated with Legionella contamination, which would assist in developing control strategies to prevent legionellosis. A total of 1695 DHW samples were evaluated over a 14-year period (2007–2020). Legionella was analysed using culture plates and qPCR. The influencing parameters (pH, electrical conductivity, colour, turbidity, Fe nitrites, and coliforms) were analysed following official methods. Furthermore, sport centre risk assessment was carried out. Legionella was isolated in 64 samples. Non-compliance levels for turbidity, colour, iron, nitrites and coliforms were found primarily in samples containing Legionella. Nitrites > 0.5 mg/L, turbidity > 1 NFU, colour ≥ 1 Pt/Co, and building type were good parameters to test Legionella colonisation. The selected influencing factors may be a useful tool for ensuring water supply quality.

Applied SciencesVol. 16(3)
Universidad Complutense de Madrid (ES)
Clean water and sanitation
Openalex Percentile: Top 62%
Legionella and Acanthamoeba research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.