9 results about "Scenedesmus" patented technology

The invention relates to the technical field of oil field reservoir damage inhibition, in particular to a carbon quantum dot biological composite material and a preparation method and application thereof. The preparation method of the carbon quantum dot biological composite material provided by the invention comprises the following steps: mixing a scenedesmus extracting solution with an aqueous dispersion of carbon quantum dots, then adjusting the pH value to 8-10, and carrying out a grafting reaction to obtain the carbon quantum dot biological composite material, the scenedesmus extracting solution is a mixed solution of intracellular substances released after scenedesmus cells are broken and water. The carbon quantum dot biological composite material prepared by the method can be used as an asphaltene deposition inhibitor, has the characteristics of greenness, high efficiency and low cost, and can effectively inhibit asphaltene deposition, so that the fluidity of crude oil is improved, reservoir damage is reduced, and the production cost is reduced.

This invention relates to a method for increasing the biomass of *Scenedesmus* under light and its application. The method includes the following steps: inoculating *Scenedesmus* stock solution into a sterile liquid culture medium, and culturing the *Scenedesmus* under light using a composite spectrum of white and red light. This invention develops a novel method for culturing *Scenedesmus*, namely, culturing the *Scenedesmus* under light using a composite spectrum of white and red light. This method is simple to operate and easy to implement. It can significantly improve the growth rate and biomass accumulation of *Scenedesmus*, enabling high-quality, large-scale production; it can also improve light and electrical energy utilization efficiency, reduce energy costs, and solve the technical challenge of simultaneously increasing production and reducing energy consumption in *Scenedesmus* cultivation.

The present disclosure relates to a biodegradable geotextile structure for soil biostimulation comprising a woven fabric structure of hydrophilic filament yarns of a cellulose fiber selected from the list consisting of: alpha cellulose, beta cellulose, gamma cellulose or mixtures thereof; at least a plant-based biopesticide selected from the list consisting of: Nicotine, Rotenone, Pyrethrins I, Pyrethrins II, Eugenol, Citronella oil, and mixtures thereof; at least a microalgae selected from the list consisting of: Chlorella spp., Scenedesmus spp, Dunaliella spp, Spirulina spp., and mixtures thereof. Furthermore, the present disclosure relates to a method to obtain said biodegradable geotextile structure.

The invention relates to the technical field of photodynamic therapy, in particular to a synthesis method of an algae integrated oxygen supply platform based on OLED photoelectric shielding material modification, and the method comprises the following steps: step 1, selecting a photoelectric material based on pentaperylene diimide (PPD), including PPD derivatives modified by PPD-Se, PPD-Te and PPD-Br and containing heavy atoms as a core photosensitizer; step 2, mixing a photoelectric material based on PPD, a PEG derivative containing PPD-Se and a responsive chemical bond, and DSPE-PEG-S-S-NHH through a coprecipitation method, and stirring for 1-6 hours at the temperature of 30-70 DEG C to form PPD type photoelectric material nano-particles with the particle size within the range of 80-120 nm, namely PPD-based NPs; step three, pretreatment and compounding of green algae: chlorella, scenedesmus and chlamydomonas are used as oxygen supply carriers, the surface of the green algae is modified through carboxymethyl chitosan CMCS, and carboxyl groups are introduced; and step 4, combining the modified PPD type photoelectric material nano particles with the microalgae through amido bonds, so as to form the microalgae-photoelectric material composite system Alga (at) PPD-based.

This invention relates to a novel microalgae with high ryegrass lactone production. The *Scenedesmus* HS4 of this invention has high biomass production and high ryegrass lactone content, and therefore can be used as a biological resource for producing ryegrass lactone. It can be used in pharmaceutical or cosmetic compositions that require ryegrass lactone derived from *Scenedesmus* HS4.

The invention discloses a fungal inoculant and application thereof in algae crust, and belongs to the field of microorganisms. The technical problem to be solved by the invention is how to construct the algae crust. The application of the fungal inoculant in the algal crust comprises the following steps: inoculating deep-color endophytic fungi and microalgae to the surface layer of soil to be remediated, and culturing to realize the construction of the algal crust; the deep-color endophytic fungi are bacterial strains with the preservation number of CGMCC (China General Microbiological Culture Collection Center) No.17463 in the China General Microbiological Culture Collection Center; the microalgae is composed of Microcoleus sp., Scenedesmus sp. And Chlorella sp., and the microcoleus sp., the Scenedesmus sp. And the Chlorella sp. Are used in the method. According to the method, rapid formation of algae crust and improvement of soil carbon accumulation are successfully realized, the key technical problems of long crust period, poor adaptability and the like are solved, and the purpose of ecological restoration of degraded soil in an arid and semi-arid mining area is favorably realized.

The invention discloses a scenedesmus growth prediction method and system based on multi-source data fusion and a medium, and belongs to the field of data processing, and the method comprises the following steps: obtaining multi-source data of scenedesmus; performing quantification processing on the environmental stress data to obtain a microalgae stress inhibition coefficient, and constructing an environmental stress vector according to the microalgae stress inhibition coefficient and the environmental stress data; performing quantitative processing on the biological effect data to obtain a microalgae stress inhibition coefficient, and then determining a total effect coefficient; constructing a growth environment vector according to the growth environment data, and constructing a biological effect vector according to the biological effect data and the total effect coefficient; fusing the growth environment vector, the biological effect vector and the environmental stress vector to obtain a fusion vector; the real growth data and the real survival rate corresponding to the multi-source data of scenedesmus are obtained to construct a training set, and then a preset deep learning network model is trained to obtain a trained model. According to the invention, the prediction precision of scenedesmus growth is improved.

This invention discloses a deep learning-based method and related equipment for locating and counting cells in *Scenedesmus* (a type of algae). The method first acquires microscopic images of *Scenedesmus* populations and labels the cell locations to form a set of labeled cell points. Then, a *Scenedesmus* cell counting network is constructed, including a backbone network, density branches, and regression branches, to extract features from the images and model the spatial distribution of cells. Enhanced images are generated by preprocessing the microscopic images, and the network is trained using the labeled information as supervision. After model training, new microscopic images are input into the network to obtain initial cell location and counting results. Furthermore, by incorporating the biological prior constraint that the number of cells in a *Scenedesmus* population is even, the initial counting results are post-processed and corrected, finally outputting the cell location and counting results. This invention enables automatic location and accurate counting of cells in *Scenedesmus* populations, exhibiting high recognition accuracy and application value.

The application discloses a kind of fungal inoculant and its application in algae crust, belong to the field of microorganism.The technical problem solved by the application is how to construct algae crust.The application of fungal inoculant disclosed in the application in algae crust comprises the following steps: after dark endophytic fungi and microalgae are inoculated to the surface layer of soil to be repaired, culture is carried out, the construction of algae crust is realized;the dark endophytic fungi are the strain with the preservation number CGMCC No.17463 in China General Microbiological Culture Collection Center;the microalgae are composed of Microcoleus sp., Scenedesmus sp.and Chlorella sp.The application successfully realizes the rapid formation of algae crust, improves soil carbon accumulation, solves the key technical problems such as long crust period and poor adaptability, and is beneficial to the purpose of ecological restoration of degraded soil in arid and semiarid mining areas.