Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 20 von 42

Details

Autor(en) / Beteiligte
Titel
Illuminating Bacterial Contamination in Water Sources: The Power of Fluorescence-Based Methods
Ist Teil von
  • Journal of fluorescence, 2024, Vol.34 (1), p.139-147
Ort / Verlag
New York: Springer US
Erscheinungsjahr
2024
Quelle
SpringerLink
Beschreibungen/Notizen
  • Bacterial contamination of water sources is a significant public health concern, and therefore, it is important to have accurate and efficient methods for monitoring bacterial concentration in water samples. Fluorescence-based methods, such as SYTO 9 and PI staining, have emerged as a promising approach for real-time bacterial quantification. In this review, we discuss the advantages of fluorescence-based methods over other bacterial quantification methods, including the plate count method and the most probable number (MPN) method. We also examine the utility of fluorescence arrays and linear regression models in improving the accuracy and reliability of fluorescence-based methods. Overall, fluorescence-based methods offer a faster, more sensitive, and more specific option for real-time bacterial quantification in water samples. Highlights Fluorescence-based methods, such as SYTO 9 and PI staining, offer a faster, more sensitive, and more specific option for real-time bacterial quantification in water samples. The use of fluorescence-based methods can differentiate between live and dead bacterial cells, and can detect bacteria in viable but non-culturable (VBNC) state, which is important for monitoring bacterial contamination in water sources. Fluorescence-based methods are highly sensitive and can detect bacterial cells even in low concentrations. This sensitivity is important for monitoring bacterial contamination in water sources and ensuring the safety of drinking water. The use of fluorescence arrays and linear regression models can improve the accuracy and reliability of fluorescence-based methods. Overall, the advantages of fluorescence-based methods make them a superior option for real-time bacterial quantification in water samples and have the potential to play a critical role in ensuring the safety of water sources for human consumption and environmental protection.

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX