Drinking Water Monitoring

Safe drinking water and reliable prediction

In 2015, 71% of world population has access to a safe drinking water source. This was one of the most important public health improvements achieved globally. Despite this significant improvement, there are still two billion people that use drinking water sources which are contaminated with feces. This clearly demonstrates that, despite the advances, we are still far from achieving worldwide drinking water safety. For this reason, in the same year, the European Commission stated: “There is a strong need for new water monitoring and control systems to reduce unnecessary water analyses and concentrate on the threats that really matter. 

This statement clearly criticizes the current water safety strategy, where most of the efforts have been in the direction of improving the water treatment process, which is the primary means of securing water safety, but by itself does not ensure final consumer safety.Growing access to tap water and consequent expansion of water distribution systems has created numerous challenges to maintaining water quality between the treatment node and final consumer. Despite all efforts to develop sustainable monitoring systems, there is still a lack of low cost, continuous and real time devices that demonstrate potential for large-scale implementation in wide water distribution networks. Novel optofluidic sensors have the capability to detect a wide range of microbial arrays like Trypthopan.

Our early detection system identifies unknown and unusual conditions and enables operators to react in a timely manner to faults in the monitored system, determines normality of this data and triggers an alarm when a significant deviation from the norm is detected.

Monitoring drinking water quality

Drinking water supply and distribution systems around the world are vulnerable to both intentional and accidental contamination. Unusual water quality may serve as a warning of potential contamination. The available physico-chemical sensors utilize general water quality parameters, such as free chlorine, oxidation reduction potential (ORP), total organic carbon (TOC), turbidity, pH, dissolved oxygen, chloride, ammonia, and nitrate to detect the contamination. Generally, one or more of these water quality parameters will change due to the injection of a contaminant. However, no single chemical sensor responds to all possible contaminants nor can they give any indication of the potential toxicity of complex mixtures. This is why we have developed a broad range analytical