Using a portable autonomous laboratory to prevent microbiological water supply contamination
Environmental Science and Engineering Magazine article "Using a portable autonomous laboratory to prevent microbiological water supply contamination" June 2022 issue, P.52-54
ENVIRONMENTAL SCIENCE AND ENGINEERING MAGAZINE: "USING A PORTABLE AUTONOMOUS LABORATORY TO PREVENT MICROBIOLOGICAL WATER SUPPLY CONTAMINATION" (2022)
The article "Using a portable autonomous laboratory to prevent microbiological water supply contamination" was published in the Environmental Science and Engineering magazine (June 2022 issue). It focuses on the challenges associated with microbiological water contamination and the use of portable autonomous E. coli analyzers to improve current environmental monitoring methods.
More proactive and effective contamination risk monitoring and pollution source identification with portable E.coli analyzers
Key points:
- Fluidion® ALERT technology was tested on various wastewater matrices and a new calibration was developed and validated in side-by-side comparisons with the laboratory reference method.
- The ALERT method was shown to accurately determine E. coli concentrations over more than five orders of magnitude, corresponding to all wastewater treatment stages: primary clarification, decarbonation, nitrification, denitrification, and tertiary treatment.
- The ALERT WWTP protocol required only a single initial dilution at 1/4 (as compared to six dilutions needed for the reference method). Total measurement time for the samples analyzed in this study ranged from 4.25 to 8.50 hours, with shorter times corresponding to higher bacterial concentrations (as compared to the 24–72 hours required to obtain the reference method results).
- Following laboratory validation, ALERT technology was integrated into an industrial wastewater chemical disinfection pilot to monitor the operational performance and determine the abatement factor obtained through different disinfectant exposures, both in situ and in near real-time. Significant improvements in reliability and logistical complexity were demonstrated through deployment of automatic ALERT technology, leading to faster results while fully eliminating the need for laboratory analysis and avoiding sample degradation due to transportation or human error.
