Compact and low-cost fluorescence based flow-through analyzer for early-stage classification of potentially toxic algae and in situ semiquantification
Zieger, S.E.; Mistlberger, G.; Troi, L.; Lang, A.; Confalonieri, F.; Klimant, I. (2018). Compact and low-cost fluorescence based flow-through analyzer for early-stage classification of potentially toxic algae and in situ semiquantification. Environ. Sci. Technol. 52(13): 7399-7408. https://dx.doi.org/10.1021/acs.est.8b00578 In: Environmental Science and Technology. American Chemical Society: Easton. ISSN 0013-936X; e-ISSN 1520-5851, more |  |
| Authors | | Top | Dataset | - Zieger, S.E.
- Mistlberger, G.
- Troi, L.
| - Lang, A.
- Confalonieri, F.
- Klimant, I.
| |
| Abstract | The occurrence and intensity of (harmful) algal blooms (HABs) have increased through the years due to rapidly changing environmental conditions. At the same time, the demand for low-cost instrumentation has increased substantially, enabling the real-time monitoring and early-stage detection of HABs. To meet this challenge, we have developed a compact multi-wavelength fluorometer for less than 400 USD. This is possible by using readily available and low-cost optical and electronic components. Its modular design results in a highly versatile and flexible monitoring tool. The algae detection module enables a continuous identification and control of relevant algal groups based on their spectral characteristics with a detection limit of 10 cells per liter. Besides its usage as a benchtop module in the laboratory, the algae module has been integrated into submersible housings and applied in coastal environments. During its first in situ application in the Port of Genoa, seawater samples of mixed algal composition were used to demonstrate the successful discrimination of cyanobacteria and dinophytes as well-known toxin producing classes. Fabrication, operation, and performance as well as its first in situ application are addressed. |
| Dataset | - Zieger S.E.; Mistlberger G.; Klimant I.; Aarhus University Center for Water Technology (WATEC), Department for Biology, Microbiology: Denmark; Graz University of Technology, Institute for Analytical Chemistry and Food Chemistry (TU Graz-ACFC): Austria; (2020): Supervised pattern recognition for pigment-based chemotaxonomy of marine phytoplankton for early-stage identification of potentially toxin producing species. Marine Data Archive., more
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