Beijing Institute of Technology

Chinese Academy of Medical Sciences

Lijun Hao

Wenjie Xu

Tianyi Xin

Jingyuan Song

Guihong Qi

Xin Wang

Jin Liu

Jia Liu

Hang Yin

Xiaohu Wang

Weiqiang Zhang

Taihua Qiu

Yutong Gan

Jianwei Tan

Yunshan Ge

Zihao Ge

Junfang Wang

Yunjing Wang

Disclosed in the present application are a method for identifying the species of a eukaryotic sample on the basis of whole genome analysis, and the use thereof, wherein the species identification of a sample to be detected is achieved by means of a species-specific target sequence obtained by screening. The species identification method of the present invention has good specificity, high sensitivity and good repeatability, and can achieve rapid species identification without relying on large-scale professional instruments.

Method for identifying species of eukaryote on basis of whole genome analysis, and use thereof

A method for identifying plant species based on whole genome analysis and genome editing, i.e., a GAGE, includes that screening PAM-carrying sequences from a whole genome of a plant to be identified; aligning the PAM-carrying sequences with genomes of counterfeit species and closely related species, and then selecting sequences that are only present in the genome of the plant to be identified as target sequences; and performing a detection on the target sequences as selected by introducing a genome editing system, wherein based on the target sequences as selected, a CRISPR RNA (crRNA), which acts to guide a Cas protein to bind with a target sequence to form a complex, is designed and synthesized; then the trans-cleavage activity of the Cas protein is activated so that a single strand DNA bearing a fluorescent signal group is cleaved; and the plant species is identified by detecting the fluorescent signal.

Method and use for identifying plant species based on whole genome analysis and genome editing

The present disclosure provides a method and system for detecting exhaust emissions of a vehicle equipped with an ignition engine based on big data of remote sensing. The system includes: a vehicle emission measuring instrument, a host computer, an information display instrument, a vehicle driving state tester, a weather monitor, a license plate camera and a vehicle emission monitoring platform. The vehicle emission measuring instrument, the information display instrument, the vehicle driving state tester, the weather monitor and the license plate camera communicate with the host computer. The host computer is connected to the vehicle emission monitoring platform via the Internet. The present disclosure acquires pollutant concentrations in the vehicle emissions through the detection system, divides a vehicle specific power (VSP) into multiple bins, performs statistical analysis and evaluation on the vehicle emissions according to different vehicle types, and determines high-emission vehicles.

Method and system for detecting exhaust emissions of vehicle equipped with ignition engine based on big data of remote sensing

The present disclosure provides a remote sensing-based detection system for gaseous pollutant from diesel vehicle exhaust, including: a diesel vehicle exhaust emission measuring device, a main control computer, an information display device, a vehicle driving status monitoring device, a weather monitoring device and a vehicle license plate recognizing device; where the diesel vehicle exhaust emission measuring device, the information display device, the vehicle driving status monitoring device, the weather monitoring device and the vehicle license plate recognizing device are in communication connection with the main control computer, the main control computer is connected to a motor vehicle emission monitoring platform via internet, and the vehicle driving status monitoring device includes a speedometer, an accelerometer or a radar speedometer. Compared with a traditional detection system, the present disclosure uses remote sensing technology for detection of gaseous emission concentration in exhaust from diesel vehicle in real time.

Remote sensing-based detection system and method for gaseous pollutant from diesel vehicle exhaust

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Beijing, China

Lijun Hao