科研之友
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摘要
Harmful algal blooms (HABs) pose significant threats to aquaculture, human health and marine environment, and have become a global issue of ecological disaster. Dinoflagellate blooms caused by Karenia mikimotoi and Prorocentrum donghaiense in the East China Sea occurred nearly every year after 2000. Due to the complicated mechanism of these blooms, monitoring of causative species became an effective means for early-warning of HABs. FlowCam is a type of new equipment based on microscopy and flow cytometry, which can analyze particles in the flowing medium. It can realize high-throughput analysis of phytoplankton samples, which can be applied in real-time in situ monitoring of HABs. Image databases of dinoflagellates K. mikimotoi and P. donghaiense were established, and the accuracy and specificity of FlowCam in detecting the two species were tested. According to the results, FlowCam is accurate in cell-counting, and there is no significant difference from the results by microscope observation. FlowCam can automatically identify the target species in mixed algal samples. A large image database will increase the recall of K. mikimotoi and P. donghaiense cells, while decrease the precision in identification of the target species. The accurate identification and counting, therefore, still need the assistance of artificial interpretation of results. FlowCam was applied to detect the two target species during a bloom of dinoflagellates in the coastal water of Fujian province from April to June in 2018. Low abundance of Kareniacean cells (<120 cells/L) was detected, and the abundance of P. donghaiense determined by FlowCam was consisted with microscope observation. FlowCam can be effectively used in field monitoring of HABs, and it is expected to play a greater role in the HABs monitoring and early warning in the future.
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