Rapid detection and indication of the microbiological quality of liquids is an emerging topic that has high potential for numerous applications in the fields of environmental monitoring, industrial process control and medical surveillance. Latest technologies allow online and near-real-time quantitative or qualitative microbial measurements with a significantly higher temporal resolution than traditional methods. Such novel developments will significantly enhance quality monitoring of water resources and liquids and have great capability for automation, control and optimization of industrial processes. Therefore, such methods are assumed to have major impacts on scientific research and technical applications in the near future.
The book presents cutting edge research on frontiers in microbiological detection from leading experts: Seven chapters containing review articles on emerging and state-of-the-art online and near-real-time methods of microorganism detection and – indication are giving a comprehensive insight into this novel field. A balance between chapters from industry and contributions from academia was aimed for, covering the broad field of microbiological quality of waters and liquids in environmental, industrial and medical systems. This handbook also contains an extensive glossary pointing out and describing relevant terms and definitions.
This handbook is the first of its kind and is a timely, comprehensive source of information for researchers and engineers in the areas of biotechnology, environmental sciences, control technology and the process industries.
Rapid, Automated and On-Line Detection of Indicator Bacteria in Water. Automated near-real-time monitoring of enzymatic activities in water resources. Advances in Electrochemically Active Bacteria Physiology and Ecology. Application of quantitative real-time PCR for microbial community analysis in environmental research. In vitro diagnostics for early detection of bacterial wound infection. Biofilm impedance monitoring. Rapid Microbial Water Quality Measurement by Automated Determination of the Fecal Indicator Bacterium Escherichia coli: A Review. Glossary.