Journal of Applied Microbiology · 2018 · 22 citations · 14 references
Life SciencesBioengineeringMicrobiologyAquatic MicrobiologyBacteriologyBiosensorsAquaculture InstrumentationAquatic BacteriologyBiosensor CalibrationEnvironmental BacteriologyMicrobial BiosensorsPathogen DetectionBacterial Contamination AssessmentIn Situ Analysis InstrumentsIn-situ MeasurementsMetrological CalibrationMicrobial Water Quality MonitoringOperational LogisticsRecreational Water QualitySurface Microbial Monitoring
AIMS: The purpose of this work is to present and evaluate the performance of a novel Automatic Lab-in-vial Escherichia coli Remote Tracking technology based on an automated real-time defined substrate approach, implemented in both portable and in situ instruments. METHODS AND RESULTS: We present the fresh water calibration procedure, and assess performance using side-by-side comparison with most probable number (MPN) approaches in terms of accuracy, reproducibility and capability to correctly generate early-warning alerts. Long-term data from an operational in situ deployment at a potential bathing site is presented as well. CONCLUSIONS: Automatic Lab-in-vial Escherichia coli Remote Tracking technology is shown to be an accurate and rapid bacterial quantification technology, capable of autonomous in situ measurements with metrological capabilities comparable to those of an approved laboratory using MPN microplate techniques. SIGNIFICANCE AND IMPACT OF THE STUDY: Rapid quantification of bacterial pollution is a requirement in water quality applications ranging from recreational water use, agriculture and aquaculture to drinking and wastewater treatment. The method and instruments presented in this work should enable fast and accurate bacterial concentration measurements to be performed in a portable or in situ manner, thus simplifying operational logistics, reducing time-to-result delays, and eliminating sample transportation constraints associated with traditional techniques.
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Sandra L. McLellan, Erika J. Hollis, Morgan M. Depas et al. · Journal of Great Lakes Research · 2007 · 129 citations