In-situ online detection device for phytoplanktons based on photosynthetic pigment fluorescence

Abstract

The invention discloses an in-situ online detection device for phytoplanktons based on photosynthetic pigment fluorescence. The in-situ online detection device comprises an LED (Light Emitting Diode) annular light source, a cylindrical water sample pool, a fluorescent detection module, a microcontrol circuit module, a casing and a bottom cover. According to the in-situ online detection device disclosed by the invention, by using fluorescence characteristics of photosynthetic pigments of different phytoplanktons, measurement of living fluorescence intensity and chlorophyll fluorescence induction kinetic parameters of the phytoplanktons under the action of exciting light with four wavelengths is realized; meanwhile, the biomass and physiological activity of the phytoplanktons can be reflected; the in-situ online detection device is suitable for real-time monitoring and early warning of eutrophication conditions in key water areas. According to the in-situ online detection device disclosed by the invention, the annular light source is adopted, the utilization rate of a light source and the illumination uniformity are considered, and a main control circuit takes STM32L151 as a core, so that the device can carry out long-term high-performance operation underwater; the in-situ online detection device is provided with the openable and closable bottom cover, so that in-situ water sampling underwater can be realized, the interference of ambient light of a water body and water current fluctuation is overcome, and further the accuracy of in-situ detection is improved.

Description

technical field [0001] The invention relates to the technical field of on-line detection of phytoplankton, in particular to an in-situ on-line detection device for phytoplankton based on photosynthetic pigment fluorescence. Background technique [0002] Water eutrophication and algae blooms are common phenomena worldwide and have become one of the main forms of water environmental pollution, causing damage to ecosystems and water functions, affecting human production and life, and even endangering the safety of drinking water quality. According to incomplete statistics, in recent years, the frequency of water blooms in rivers, lakes and reservoirs in my country has risen from 1 to 2 times a year in the 1980s to nearly 10 times a year after 2000. Common blooms include: cyanobacteria accounted for 81%, dinoflagellates, Green algae and diatoms account for 6% each, Euglena accounts for 1%, lakes are dominated by cyanobacteria blooms, and river algal blooms vary according to diffe...

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Problems solved by technology

[0010] The technical achievements in the above three aspects all have the disadvantage of a single function, and cannot systematically and comprehensively reflect the growth status of phytoplankton for the early warning of algal blooms

With the development of phytoplankton on-line detection technology, there are now some phytoplankton on-line detection instruments or device designs with relatively rich functions: Automatic measurement of chlorophyll a concentration and chlorophyll fluorescence kinetic parameters. This instrument is suitable for on-site measurement. It has the characteristics of simple, fast, and rich functions. However, the instrument is a portable instrument that requires pre-prepared water samples and manual supplementary interactive operations to complete the measurement. , measuring one water sample at a time, it is difficult to achieve rapid measurement of any number of target positions underwater

Wang Zhigang et al. (2007) developed a method and system for the classification and measurement of cyanobacteria, green algae and brown algae by using chlorophyll-a discrete excitation fluorescence spectroscopy to achieve in-situ measurement. The device uses a hollow flow-through water sample pool, and the water sample changes with the water body. There is interference from water flow fluctuations, making it difficult to monitor continuously for a long time

[0011] In summary, there is still a lack of online phytoplankton detection devices that can simultaneously measure phytoplankton biomass and phytoplankton physiological activity, are suitable for a variety of algal blooms, and can directly detect in situ underwater

In addition, the existing phytoplankton fluorescence detection devices for field measurement generally need to collect water samples to the shore for measurement, which cannot fully guarantee the in-situ growth environment of phytoplankton, and most of them require manual interaction rather than fully automated measurement. The underwater fluorescence detection device of the flow-through water sample pool has interference from water flow fluctuations; Uniform illumination is generated within a limited illumination distance, and it is difficult to balance light source utilization and illumination uniformity

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