9 results about "Toxic Actions" patented technology

The application provides a method for analyzing the synergistic mechanism of hepatotoxicity and nephrotoxicity of non-steroidal anti-inflammatory drugs. The method comprises the following steps: preliminary toxicity prediction of NSAIDs and collection of toxicity target points, collection of liver and kidney disease target points, then cross and screening of the target points to obtain core target points and common core target points of NSAIDs induced liver and kidney diseases, and then constructing a protein interaction network of the common core target points; enrichment analysis of the common core target points to obtain the common action pathway of NSAIDs induced liver and kidney diseases; finally, further screening of the common core target points to obtain the key target points of NSAIDs induced liver and kidney diseases, and verification by using molecular docking technology. Compared with the traditional method, the advantages of the method are: first, the method does not depend on large-scale patient clinical data and a large number of animal or cell experiments, avoiding the ethical controversy in animal experiments and human experiments; second, the method can identify the potential cross-pathway and synergistic toxicity mechanism when a compound triggers multiple diseases, which is helpful for more comprehensive evaluation of the toxicity risk of NSAIDs.

DEPCT6825 / 04 / 2568 A synergistic biological pesticide compound that relies on essential oils. And the terpene component that should be used is geraniol, which has an effect on the Tetranychusurticae composition. The pesticide is active against all stages of mites and has a short estimation time with this mode. Non-toxic action and reduced delivery rate for each component of the inhibitor. Pesticides have been used to fight and control pests in plants; this invention has also provided a method for that. Fighting and controlling pests;

This invention discloses a method for assessing the toxicity of antibiotics to green algae based on Fourier transform infrared spectroscopy, comprising: constructing a multidimensional experimental dataset containing different antibiotic concentrations and exposure times under controlled conditions, and simultaneously acquiring raw infrared spectra and degradation efficiency data of green algae. The spectral data are preprocessed to extract toxic response features characterizing cell damage and metabolic feedback features reflecting metabolic activity, forming a dual-path spectral feature set. A heterogeneous information network containing toxic effect edges and degradation feedback edges is constructed using antibiotic concentration and green algae state as nodes. A toxicity joint inference model is constructed based on a graph neural network, and the model is trained using the heterogeneous information network to achieve synergistic analysis of toxic effects and degradation potential. The trained model is used to analyze the target water area situation, simulate the purification process, and generate a dynamic river purification planning report including nodes for biomass maintenance and auxiliary intervention measures, providing comprehensive and accurate purification decision support.

The invention provides a plant growth promoter, which comprises tryptophan alcohol, and the weight percentage of the tryptophan alcohol in the plant growth promoter is 0.01%-10%. According to the plant growth promoter disclosed by the invention, tryptophan is taken as an effective component, plant growth can be well promoted by using a small amount of tryptophan, and the plant growth promoter is small in product amount, low in toxicity, small in residue, safe to use, environment-friendly, capable of greatly reducing toxic action on various natural enemies, small in damage and pollution to the ecological environment and beneficial to protecting safety of people and livestock.

The invention discloses a non-targeted extract screening and toxicity driving factor identification method based on IDA-UPLC-QTOF-MS / MS. Real extracts are obtained by simulating a real use scene and are subjected to chemical analysis, qualitative chemical characteristics are subjected to three-stage screening, then potential toxic action targets and mechanisms of the real extracts are revealed through calculation and simulation, and the toxicity driving factors of the real extracts are identified. A few toxicity driving factors which contribute to health risks are positioned, and a clear direction is provided for subsequent experimental verification, so that traditional high-flux toxicity screening is greatly replaced, and a large amount of research and development and detection cost is saved.

The invention discloses establishment and application of gobiocypris rarus eye cells, and the gobiocypris rarus eye cells Gbr-eye are constructed by utilizing the eyes of the gobiocypris rarus, and are gobiocypris rarus eye cell lines capable of realizing continuous passage. The culture method of the gobiocypris rarus eye cell line comprises the steps of primary culture, subculture, cryopreservation and recovery. A chemical and environmental water acute toxicity assessment method is established based on the gobiocypris rarus eye cell line, and the method specifically comprises the steps of inoculation of gobiocypris rarus eye cells, exposure of 3, 4-dichloroaniline and environmental water and toxic effect detection of 3, 4-dichloroaniline on the gobiocypris rarus eye cells. According to the establishment method and application of the gobiocypris rarus eye cells, the application of the gobiocypris rarus in toxicity detection of chemicals and environmental water bodies is expanded, and reference is provided for acute toxicity test based on fish cells.

The invention discloses a Karenia mikimotoi red tide biotoxicity and risk assessment method, and belongs to the field of marine environment monitoring and ecological risk assessment. The method comprises the steps of karenia mikimotoi culture, marine model fish model establishment, karenia mikimotoi exposure, multi-system toxicity index detection and data analysis. By integrating five toxic pathways (hemolysis injury, detoxification metabolism, oxidative stress, immune inflammation and reproductive function), systematic evaluation from a micromechanism (gene / cell) to a macroscopic effect (tissue / individual) is realized, and a toxic action mechanism is comprehensively revealed. By means of LDH, blood sugar, ROS and other sub-lethal indexes, early warning is achieved before irreversible injury occurs, and more abundant response time is provided for red tide disaster prevention. Traditional phenomenon observation is broken through, multi-system dysfunction caused by energy depletion, immune attack and other new mechanisms of Karenia mikimotoi is revealed through a key gene expression mode, and a new target is provided for toxicity prevention and control.

The invention discloses an aquatic organism toxicity effect threshold value calculation method based on machine learning. The method comprises the following steps: step 1, constructing a chemical target toxicity endpoint feature database; 2, based on the database established in the step 1, selecting chemical molecule descriptors serving as input by adopting a feature screening method, and constructing a target toxicity endpoint prediction model; step 3, constructing a chemical toxic action mode database; 4, based on the database established in the step 3, screening chemical molecule descriptors serving as input by adopting a principal component analysis method, and constructing a toxic action mode classification model; step 5, based on the target toxicity endpoint prediction model and the toxic action mode prediction model, screening a reference compound of a target toxicity test type in the chemical mixture; and step 6, based on the reference compound, calculating the toxicity effect threshold value of the aquatic organism target toxicity end point. According to the method, a machine learning technology is adopted, based on a toxicological data set in a public database, derivation of the toxicity threshold value of the aquatic organisms is achieved, time and economic cost are saved, and a method is provided for water quality risk assessment and management and control.

The invention discloses establishment and application of gill cells of gobiocypris rarus, gill of gobiocypris rarus is utilized to establish gill cells Gbr-gill of gobiocypris rarus, and the gill cells Gbr-gill are gill cell lines of gobiocypris rarus which can be continuously passed. The culture method of the gobiocypris rarus gill cell line comprises the steps of primary culture, subculture and cryopreservation and resuscitation of the gobiocypris rarus gill cell line. A chemical and environmental water acute toxicity assessment method is established based on the gobiocypris rarus gill cell line, and the method specifically comprises the following steps: inoculating gobiocypris rarus gill cells, exposing 3, 4-dichloroaniline and environmental water, and detecting the toxic effect of 3, 4-dichloroaniline on the gobiocypris rarus gill cells. According to the establishment method and application of gill cells of gobiocypris rarus, the application of gobiocypris rarus in toxicity detection of chemicals and environmental water is expanded, and reference is provided for acute toxicity test based on fish cells.