22 results about "Indicator organism" patented technology

The invention discloses a biological challenge device with combined adjustable resistance for evaluating the effect of a sterilization process, which comprises a shell, the shell comprises a plastic pipe and an inner pipe cap detachably connected with the inner wall of the plastic pipe, the inner pipe cap is provided with a breathable window and covered by a breathable film, and a bacterial contamination carrier for bearing indicator biological spores is attached to the inner bottom of the plastic pipe. An openable container containing a liquid culture medium is arranged in the plastic pipe cavity; the outer side of the inner pipe cap is sleeved with an outer pipe cap detachably connected with the outer wall of the plastic pipe, and the outer pipe cap is provided with a flow blocking structure used for adjusting the speed of the sterilizing agent entering the area of the inner pipe cap; the indicator biological spores are pretreated by a stable protective agent containing one or more of polyethylene glycol, trehalose, sorbitol, polyvinylpyrrolidone and glyceryl stearate. The speed of a sterilizing agent entering the device can be limited, the spores are dry in a suspension added with a stable protective agent, the capability of resisting general environmental changes is very good, and the performance of the device can be maintained for a long time.

The present disclosure provides methods and systems for modeling cellular behavior. A method for generating a model of a biological system may include obtaining sample data including records derived from samples of the biological system. The records may indicate the presence, absence, and / or expression levels of entities in respective samples of the biological system. The method may further include dividing the sample data into a training set and a validation set, providing biological system data as input to a machine learning model to initialize the model, training the model to model dynamic behavior of the biological system based on the training set, and validating the trained model using the validation set. The biological system data may include a bipartite graph representing the biological system and structured as an optimal control loop.

The invention discloses a method for constructing a biostimulation technical index system of a petroleum polluted site. The method comprises the following steps: constructing a structural framework of the biostimulation technical index system; setting the first-level index as a biological stimulation technology influence factor; setting the secondary indexes to comprise pollutants, microorganisms, required substances and environment; setting the third-level indexes as a plurality of condition indexes and pollutant concentrations; collecting an underground water soil sample of a target area, and carrying out an indoor test based on a microcosm test technology according to site conditions of the target area; drawing a relation curve graph of each condition index and the pollutant concentration; respectively analyzing the incidence relation between each condition index and the pollutant concentration, and determining a key factor influencing biological stimulation and a key microbiological index capable of indicating a biological stimulation process; according to the method, the main control factors in the biological stimulation means can be accurately determined, so that a good biological stimulation scheme can be obtained.

To improve prediction accuracy when there are gaps in time-series biological data. [Solution] The analysis device includes an input unit that inputs first time-series data of detected values ​​of a living organism and second time-series data indicating the state of the living organism; an extraction unit that extracts time-series detected values ​​from the first time-series data for a specific state period; a first aggregation unit that aggregates the time-series detected values ​​for that period unit by unit time and outputs first one-dimensional array data of statistical values ​​time-series; a second aggregation unit that aggregates missing detected values ​​in the time-series data of detected values ​​unit by unit time and outputs second one-dimensional array data of missing features time-series; a splitting unit that divides the first one-dimensional array data based on a specific frequency to generate a plurality of first two-dimensional array data, and divides the second one-dimensional array data to generate a plurality of second two-dimensional array data; a merging unit that combines the plurality of first two-dimensional array data and second two-dimensional array data; and an identification unit that performs a convolution operation on the combined result and outputs an identification result.

The present disclosure provides a method for detecting one or more analytes in a biological sample using a test device. The method includes applying the biological sample to a sample-introduction region to obtain a flowing sample along a primary fluidic pathway. The obtained flowing sample may bifurcate at one or more bifurcation nodes into at least two laterally directed fluid branches that advance toward one or more detection pads arranged in an array along the primary fluidic pathway. The obtained flowing sample may interact with one or more biochemical agents present at the one or more detection pads to generate a signal indicative of the presence of the one or more analytes in the biological sample.

The application provides a method for detecting estuary indicator organisms, a species-specific antigen protein is identified from natural Ampelisca abdita, a key immune dominant peptide segment is screened from the antigen protein, a monoclonal antibody with high species specificity is prepared and purified, and a high-sensitivity double-antibody sandwich ELISA detection method is established by using the antibody and a matched antibody, so that rapid and accurate detection of Ampelisca abdita in water is realized. The application establishes a high-sensitivity and high-specificity antigen detection method by screening the species-specific antigen peptide segment Tf-Pep2 of Ampelisca abdita and the corresponding monoclonal antibody mAb-Tf1, and combining the matched antibody prepared by using the full-length protein, and provides an effective technical means for rapid quantitative analysis of the species in marine ecological monitoring.

Methods for identifying bacterial species in biofluid samples (e.g., whole blood samples) are described. The methods rely on optical spectroscopy, and enable rapid detection and identification of bacteria directly from whole blood. Not only can LSS-based techniques detect and identify bacteria in biofluids such as whole blood, but that species-level identification can potentially be made based on a small number of bacterial cells, without the need for observing entire colonies or performing susceptibility testing. The methods may comprise illuminating the biofluid sample with input light, detecting scattered light produced by the biofluid sample in response to the illuminating, generating first data indicative of a measured scattering spectrum associated with the biofluid sample using the detected scattered light, and identifying whether at least one of the bacterial species is present in the biofluid sample using the first data.

This invention relates to the field of biotechnology, specifically disclosing a method for constructing and applying a rare gudgeon strain susceptible to GCRV based on ISG58 knockout. The key technical points are as follows: This invention employs CRISPR / Cas9 gene editing technology to design dual-target sgRNAs targeting the ISG58 gene of rare gudgeon (target 1 induces a -2 bp deletion, and target 2 mediates an -8 bp deletion). The sgRNA sequence is optimized using ZiFiT target design software, and target specificity is ensured by NCBI BLAST alignment. The in vitro transcribed sgRNA and Cas9 protein are co-microinjected into rare gudgeon fertilized eggs to obtain F0 generation chimeras; after self-crossing of F1 generation heterozygotes, homozygous mutants conforming to Mendelian inheritance laws are successfully screened in the F2 generation. This invention, based on ISG58 knockout, obtains a rare gudgeon strain more sensitive to GCRV infection, which not only provides an important model for subsequent research on antiviral immune mechanisms in fish but also serves as an indicator organism for GCRV in aquaculture environments.

An exemplary embodiment of the present disclosure provides a method of identifying one or more components in a biological material, the method comprising: providing a biological specimen, the biological specimen comprising one or more components; imaging at least a portion of the biological specimen to generate data indicative of a topography of the at least a portion of the biological specimen; and determining, using a machine learning algorithm, based at least in part on the data indicative of a topography of the at least a portion of the biological specimen, an identity of the one or more components of the biological specimen.

A point of care testing (POCT) instrument for analyzing biological samples and a POCT system comprising a plurality of such POCT instruments is proposed. The POCT instrument comprises a housing, a measurement unit designed for collecting data indicative of at least one biological parameter of a biological sample, a main display, and an auxiliary display.

The invention provides an ecological geological environment quality evaluation method, which comprises the steps of determining a target ecological geological evaluation region, and establishing a standardized geological and ecological environment data set; the method comprises the following steps: collecting indicator organism and microorganism samples, and forming biocenosis data by utilizing high-throughput sequencing and morphological identification; ecological data and geological data are fused, and ecological and geological fingerprint feature vectors are constructed by adopting a principal component analysis and auto-encoder combined algorithm; training is carried out based on a random forest and LightGBM double-model fusion structure, feature importance is calculated, and model drift monitoring and adaptive retraining are realized; calling the training model to judge the quality grade and the risk type of each ecological unit, and outputting a key control factor and a confidence result; an ecological geology partition map and a report file are generated in combination with GIS spatial clustering, and dynamic updating and tracing of achievements are achieved through version management and electronic signature.

The invention relates to the technical field of bioclastic limestone, and discloses a bioclastic limestone microfacies type determination method and device, and the method comprises the steps: obtaining a five-element factor of a bioclastic limestone microfacies; determining the microfacies type of the bioclastic limestone according to a five-element factor; wherein the five-element factors comprise the particle size, the indication biological species, the sorting property of the particles, the deposition structure and the structure used for distinguishing the deposition condition. According to the method, five key factors are provided, the use conditions and grading standards of various factors are established, and microfacies identification is quantified.

The application discloses a kind of based on deep-sea indicator organism cross-scale prediction benthic habitat evaluation method and related equipment, method includes: obtaining the first data of training area and the second data of prediction area;Based on the first data, construct Gaussian process classification model, and then utilize the second data to predict output and obtain the existence probability prediction value of target indicator organism in prediction area;Based on the first data, construct Gaussian process regression model, and then utilize the second data to predict output and obtain the abundance data of target indicator organism in prediction area;Abundance data includes predicted abundance and abundance prediction variance;Existence probability prediction value and abundance data of prediction area are encoded and fused, and the comprehensive distribution map of prediction area is obtained;Based on the comprehensive distribution map, the function area of prediction area is divided using preset threshold condition.The present application provides direct scientific and technological support for formulating accurate deep-sea protection strategy and avoiding development risk, and can be widely applied in the field of data processing technology.

Disclosed herein is a method for determining concentration or presence of at least one microbe in a built environment, the method comprising a) collecting a sample; and b) measuring concentration of at least one indicator organism, wherein the concentration of the indicator organism correlates to the concentration or presence of the at least one microbe, and further wherein the indicator organism and the microbe are different organisms. Also disclosed are systems, devices, and kits for carrying out the method.

This invention provides an indicator and assessment method for the pollution level of seagrass bed sediments. Utilizing CCA and RDA technologies, Kazachstania bacteria are used as an indicator of seagrass bed sediment pollution levels. This is a more detailed and sensitive assessment method. Furthermore, the selection of Kazachstania bacteria as the indicator organism may be related to its sensitivity to specific pollutants, providing a new perspective and method for the monitoring and protection of seagrass bed ecosystems. This invention has broad application prospects, applicable to marine ecological environment monitoring, pollutant emission control, and seagrass bed ecosystem protection, contributing to improving the health and sustainable development of marine ecosystems.

This invention belongs to the field of ecological risk assessment, specifically relating to a method for assessing the ecological risk of heavy metals in sediments based on the heavy metal tissue residues of benthic organisms. The method includes the following steps: (1) extracting and testing the total amount and occurrence forms of heavy metals in surface sediment samples from the target watershed, and effectively indicative of their presence in organisms. i Heavy metal content C i (2) Construct the first sediment in the target watershed. i Biosafety thresholds for heavy metals as effective indicator organisms P i (3) Based on the improved single-factor tissue residue index (TI) and the comprehensive tissue residue index N TI This invention classifies the ecological risks of a single heavy metal element in sediments to a target watershed, as well as the combined ecological risks of multiple heavy metal elements to the target watershed. This invention will provide important reference and basis for assessing the effectiveness of existing remediation measures and for developing scientific plans for the remediation of heavy metal pollution in sediments.

The present application is directed to a method for identifying at least one candidate (Loc), namely a gene location and / or a sequence variant, indicative for at least one selected (phenotypic) trait of an organism, in particular, of a plant.

The invention discloses a water ecosystem health status assessment method integrating rationalization and indicator biological indexes, which integrates the physicochemical indexes and the indicator biological indexes, and constructs a comprehensive index system integrating the indicator biological indexes and key physical and chemical indexes by screening river health indicator species and identifying water quality risk main control factors at the same time. A large amount of manpower and material resources are saved, high efficiency and rapidness are achieved, uncertainty is remarkably reduced, the evaluation method has the advantages of being small in sample size requirement, low in uncertainty, efficient and rapidness, and important technical reference can be provided for river comprehensive health evaluation and water ecological restoration.

An indicator system comprising permanganate, an organic reducing agent, an acid, and an inorganic perchlorate salt is provided herein. Methods for using the indicator system to monitor the integrity of a biospecimen are also provided. The systems and methods herein may provide easy-to-use, individual aliquot-level thawed-state indicators for indicating biospecimen time-temperature exposure.

The present invention is in the field of biomedical sciences. The present invention relates to in vitro and / or ex vivo methods of determining biological age and / or the presence and / or magnitude of an age gap between chronological age and biological age. Specifically, the present invention relates to a method of determining an age gap between chronological age and biological age based on expression level(s) of one or more marker(s) in cells derived from a bodily fluid sample. The method of the invention may be computer-implemented. Furthermore, the present invention relates to a method of determining biological age and / or presence and / or magnitude of an age gap between chronological age and biological age comprising the steps of determining expression level of one or more marker(s) in cells derived from a bodily fluid sample from an individual and determining said biological age and / or presence of said age gap between chronological age and biological age, wherein the expression level(s) of said one or more marker(s) is / are indicative of biological age and / or presence and / or magnitude of an age gap between chronological age and biological age. The present invention further relates to a method for determining biological age and / or presence and / or magnitude of an age gap between chronological age and biological age comprising the steps of (a) providing a training dataset of a plurality of individuals, wherein said training dataset comprises for each individual: i) histological sections of at least one tissue of said individual, and ii) chronological age of said individual, (b) extracting morphological features from said histological sections of step (a) i), (c) analyzing the extracted morphological features of step (b) and correlating said morphological features with the chronological age of step (a) ii) of the same individual, wherein associations between the morphological features and the chronological age are determined, and (d) applying the associations determined in step (c) to histological sections to determine the biological age and / or the presence and / or magnitude of an age gap between the chronological age and the biological age. The present invention also relates to a method of determining the biological age and / or the presence and / or magnitude of an age gap between chronological age and biological age in tissue from whole slide images, application of the age gap analysis to a bodily fluid sample, and determination of biological age from said bodily fluid sample using associated marker expression level. In particular, the present invention also relates to methods of determining biological age and / or the presence and / or magnitude of an age gap between chronological age and biological age using the analysis of histopathological tissue samples and / or marker expression levels in cells derived from bodily fluids. The present invention is particularly useful for determining tissue-specific and / or systemic biological age and / or tissue-specific and / or systemic biological age gaps. The invention also relates to a method of determining areas in a histological section that are affected by aging. Furthermore, the present invention is particularly of value for research, diagnostics, and personalized medicine, in particular personalized aging assessment and development of corresponding treatment options. Furthermore, the present invention allows, inter alia, for detection, in particular early detection or prediction of diseases such as age-related pathologies and / or diseases, as well as the determination of the health state or fitness state. The present invention also provides for monitoring treatment responses.

The invention discloses a benthic habitat assessment method based on cross-scale prediction of deep-sea indicator organisms and related equipment. The method comprises the following steps: acquiring first data of a training area and second data of a prediction area; a Gaussian process classification model is constructed based on the first data, and then an existence probability prediction value of the target indication organism in the prediction area is obtained through prediction output of the second data; a Gaussian process regression model is constructed based on the first data, and then the abundance data of the target indicator organism in the prediction area are obtained through prediction output by using the second data; the abundance data comprises prediction abundance and abundance prediction variance; performing coding fusion on the existence probability prediction value of the prediction area and the abundance data to obtain a comprehensive distribution diagram of the prediction area; and based on the comprehensive distribution map, performing functional region division on the prediction region by using a preset threshold condition. The method provides direct scientific and technical support for formulating an accurate deep sea protection strategy and avoiding development risks, and can be widely applied to the technical field of data processing.

The invention belongs to the technical field of organic pesticide biotoxicity detection, and particularly relates to a method for fluorescence detection of ametryn biotoxicity by using oxyspora clostridium and application. According to the method, Anfule is used as a sensitizer, oxyspora clostridium is used as a sensitive indicator organism, and chlorophyll fluorescence kinetic parameters of the oxyspora clostridium are used for detecting the biotoxicity of ametryn. The main components of Anfule are lecithin and vitamin E. The method can rapidly and sensitively detect the ametryn biotoxicity, solves the problems of long determination period and low sensitivity of the ametryn biotoxicity detection method in the prior art, and has important significance for realizing timely early warning and risk assessment of ametryn environmental pollution.