The present disclosure provides a kit for detecting foot-and-mouth disease virus and a detection method thereof, and belongs to the technical field of biological detection. The kit includes crRNA, T7 transcriptase, NTP, a probe, Cas13a, and a nucleic acid amplification reagent; the nucleic acid amplification reagent includes a primer pair; the primer pair is selected from nucleic acid sequences shown in SEQ ID No: 1 and SEQ ID No: 2, and/or those shown in SEQ ID No: 3 and SEQ ID No: 4; and the crRNA is selected from nucleic acid sequences shown in SEQ ID No: 5 and SEQ ID No: 6. The kit can be used for detecting the foot-and-mouth disease virus for non-diagnostic treatment purposes; the method has extremely high specificity and sensitivity, and provides a reference for preparation and production of a detection reagent for major animal diseases based on isothermal amplification.

The present disclosure provides a kit for detecting foot-and-mouth disease virus and a detection method thereof, and belongs to the technical field of biological detection. The kit includes crRNA, T7 transcriptase, NTP, a probe, Cas13a, and a nucleic acid amplification reagent; the nucleic acid amplification reagent includes a primer pair; the primer pair is selected from nucleic acid sequences shown in SEQ ID No: 1 and SEQ ID No: 2, and/or those shown in SEQ ID No: 3 and SEQ ID No: 4; and the crRNA is selected from nucleic acid sequences shown in SEQ ID No: 5 and SEQ ID No: 6. The kit can be used for detecting the foot-and-mouth disease virus for non-diagnostic treatment purposes; the method has extremely high specificity and sensitivity, and provides a reference for preparation and production of a detection reagent for major animal diseases based on isothermal amplification.

A method for using genomic data to locate a reservoir is provided. The method includes collecting samples in a field over a reservoir. A genomic analysis is performed on the samples to obtain genomic data. The genomic data is clustered to classify sequences of microbial communities associated with using hydrocarbons for energy. The genomic data is used in an artificial intelligence model to identify a drilling site for hydrocarbon production.

A method for using genomic data to locate a reservoir is provided. The method includes collecting samples in a field over a reservoir. A genomic analysis is performed on the samples to obtain genomic data. The genomic data is clustered to classify sequences of microbial communities associated with using hydrocarbons for energy. The genomic data is used in an artificial intelligence model to identify a drilling site for hydrocarbon production.

A primer for detecting fecal pollution in water, kit and high-throughput tracing method is disclosed, and belongs to the field of water pollution detection. The method mainly comprises the following steps: extracting DNA from water samples to be tested; using two pairs of universal primers for amplifying mitochondrial DNA to perform nested PCR amplification on the water sample DNA; performing high-throughput sequencing of the amplified products; performing annotation and alignment between sequencing data and a mitochondrial DNA database, and determining the sources of fecal pollution in water samples based on the alignment results. According to the present invention, nested PCR technology is utilized to amplify mitochondrial DNA with high sensitivity. The universal primers are combined with high-throughput sequencing, which can not only trace multiple sources of potential fecal pollution simultaneously, but also correspondingly quantify the degree of fecal pollution, thereby determining the main pollution source.

A primer for detecting fecal pollution in water, kit and high-throughput tracing method is disclosed, and belongs to the field of water pollution detection. The method mainly comprises the following steps: extracting DNA from water samples to be tested; using two pairs of universal primers for amplifying mitochondrial DNA to perform nested PCR amplification on the water sample DNA; performing high-throughput sequencing of the amplified products; performing annotation and alignment between sequencing data and a mitochondrial DNA database, and determining the sources of fecal pollution in water samples based on the alignment results. According to the present invention, nested PCR technology is utilized to amplify mitochondrial DNA with high sensitivity. The universal primers are combined with high-throughput sequencing, which can not only trace multiple sources of potential fecal pollution simultaneously, but also correspondingly quantify the degree of fecal pollution, thereby determining the main pollution source.

Certain aspects of the present disclosure generally relate to systems and methods for determining viruses. For instance, some aspects are directed to systems and methods for determining viruses using a partitioning system. Within the partitioning system, the virus may partition into one or more phases. In some cases, a virus-binding moiety facilitates partitioning of the virus. The phases may be assayed to determine the virus based on, e.g., quantitative or qualitative assessments of the distribution of virus-binding and/or signaling moieties. The virus-binding moiety may be attached to particles that may form a complex around a virus. The complex may be detectable without a signaling moiety (e.g., as a color change) in some embodiments. In some cases, more than one virus may be determined. For example, a virus-binding moiety may substantially alter the partitioning behavior of one virus or complex, relative to another, by being selective for the first virus.

Certain aspects of the present disclosure generally relate to systems and methods for determining viruses. For instance, some aspects are directed to systems and methods for determining viruses using a partitioning system. Within the partitioning system, the virus may partition into one or more phases. In some cases, a virus-binding moiety facilitates partitioning of the virus. The phases may be assayed to determine the virus based on, e.g., quantitative or qualitative assessments of the distribution of virus-binding and/or signaling moieties. The virus-binding moiety may be attached to particles that may form a complex around a virus. The complex may be detectable without a signaling moiety (e.g., as a color change) in some embodiments. In some cases, more than one virus may be determined. For example, a virus-binding moiety may substantially alter the partitioning behavior of one virus or complex, relative to another, by being selective for the first virus.

Certain aspects of the present disclosure generally relate to systems and methods for determining viruses. For instance, some aspects are directed to systems and methods for determining viruses using a partitioning system. Within the partitioning system, the virus may partition into one or more phases. In some cases, a virus-binding moiety facilitates partitioning of the virus. The phases may be assayed to determine the virus based on, e.g., quantitative or qualitative assessments of the distribution of virus-binding and/or signaling moieties. The virus-binding moiety may be attached to particles that may form a complex around a virus. The complex may be detectable without a signaling moiety (e.g., as a color change) in some embodiments. In some cases, more than one virus may be determined. For example, a virus-binding moiety may substantially alter the partitioning behavior of one virus or complex, relative to another, by being selective for the first virus.

One variation of a method includes, during a calibration period: triggering collection of an initial bioaerosol sample by an air sampler located in an environment; and triggering dispensation of a tracer test load by a dispenser located in the environment; accessing a detected barcode level of a barcode detected in the initial bioaerosol sample; accessing a true barcode level of the barcode contained in the tracer test load; and deriving a calibration factor for the environment based on a difference between the detected barcode level and the true barcode level. The method further includes, during a live period succeeding the calibration period: triggering collection of a first bioaerosol sample by the air sampler; accessing a detected pathogen level of a pathogen detected in the first bioaerosol sample; and interpreting a predicted pathogen level of the pathogen in the environment based on the detected pathogen level and the calibration factor.