Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Water  /  Vol: 15 Par: 16 (2023)  /  Artículo
ARTÍCULO
TITULO

Are Indicator Microorganisms Predictive of Pathogens in Water?

Lisa Richiardi    
Cristina Pignata    
Elisabetta Fea    
Silvia Bonetta and Elisabetta Carraro    

Resumen

The microbiological quality assessment of drinking water (DW) and drinking water sources (DWSs) is based on the detection of indicator microorganisms (IMs). However, the relationship between IMs and pathogens has been questioned, as pathogens have been detected even in the absence of IMs, and vice versa. Therefore, the aim of this review was to evaluate the reliability of IMs by analysing the correlation between the presence of IMs and pathogens in water. This review focused on studies that reported statistical analyses of the relationship between traditional and alternative IMs and enteric pathogens in DWSs (groundwater, surface water, and rainwater) and in DW. Additionally, the main DW guidelines and regulations, along with a focus on the application of Quantitative Microbial Risk Assessment (QMRA), were also reported. The overall analysis of publications revealed a controversial correlation, characterised by high spatiotemporal variability, indicating the impossibility of identifying a reliable IM for any specific pathogen or water type. The association was also influenced by numerous factors, such as intrinsic characteristics of microorganisms, seasonal variations, sample number, water sample volume, and the detection method used. In conclusion, the detection of IMs should be considered complementary to, rather than a substitute for, the detection of pathogens.

 Artículos similares

       
 
Karolina Krajcek Nikolic, Petar Papoci, Dario Nikolic and Bruno Antulov-Fantulin    
Fuel burn during the actual route flown is an important indicator of aircraft operational efficiency. This study aims to assess and systematically evaluate the method for fuel consumed during flights using data from the automatic dependent surveillance?b... ver más
Revista: Aerospace

 
Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun    
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu... ver más
Revista: Aerospace

 
Jing Liu and Yong Zhong    
As a structural indicator of dense subgraphs, k-core has been widely used in community search due to its concise and efficient calculation. Many community search algorithms have been expanded on the basis of k-core. However, relevant algorithms often set... ver más
Revista: Applied Sciences

 
Weihan Huang, Ke Gao and Yu Feng    
Predicting earthquakes through reasonable methods can significantly reduce the damage caused by secondary disasters such as tsunamis. Recently, machine learning (ML) approaches have been employed to predict laboratory earthquakes using stick-slip dynamic... ver más

 
Ho-Jun Yoo, Hyoseob Kim, Tae-Soon Kang, Ki-Hyun Kim, Ki-Young Bang, Jong-Beom Kim and Moon-Sang Park    
Coastal erosion is caused by various factors, such as harbor development along coastal areas and climate change. Erosion has been accelerated recently due to sea level rises, increased occurrence of swells, and higher-power storm waves. Proper understand... ver más