US 11,728,151 B2
Mass spectrometry based method for detecting serum metabolite
Jianwen Hu, Shanghai (CN); and Jie Dai, Shanghai (CN)
Assigned to SHANGHAI BIOPROFILE TECHNOLOGY CO., LTD., Shanghai (CN)
Filed by SHANGHAI BIOPROFILE TECHNOLOGY CO., LTD., Shanghai (CN)
Filed on Dec. 19, 2021, as Appl. No. 17/555,453.
Claims priority of application No. 202110135510.X (CN), filed on Feb. 1, 2021.
Prior Publication US 2022/0246413 A1, Aug. 4, 2022
Int. Cl. H01J 49/00 (2006.01)
CPC H01J 49/0036 (2013.01) [H01J 49/0031 (2013.01)] 4 Claims
OG exemplary drawing
 
1. A mass spectrometry based method for detecting serum metabolite, comprising:
step 1: logging in a detection platform and issuing a detection task on the detection platform by an operator, and accessing the detection platform and receiving the detection task by detection personnels through mobile phone terminals; the detection task comprises a detection position, the detection position being a position of a serum sample to be detected;
step 2: analyzing detection matching values of the detection personnels receiving the detection task, selecting a detection personnel with the largest detection matching value as a selected detection personnel for the detection task; and sending the detection task to the mobile phone terminal of the selected detection personnel;
step 3: performing configuration to obtain a serum sample and performing mass spectrometric detection on the serum sample after the selected detection personnel reaches the detection position; analyzing a mass spectrometric detection result to obtain mass spectrometric result data; and sending, by the selected detection personnel, the mass spectrometric result data to the detection platform for storage, specifically comprising:
S31: taking a photo, through the mobile phone terminal, for the detection position after the selected detection personnel reaches the detection position, sending the photo and a current real-time position to the detection platform; performing position matching after the detection platform receives the current real-time position and the photo of the detection position sent by the selected detection personnel; and generating a detection start signal when the current real-time position coincides with the detection position;
S32: taking out a frozen plasma sample after the selected detection personnel receives the detection start signal, adding a certain amount of unfrozen plasma into an eppendorf (EP) tube, adding ice methanol in a volume proportion, performing scrolling and centrifugating, and adding a supernatant into a new EP tube, to obtain a serum sample;
S33: extracting the serum sample, spotting a diluted serum sample on a target plate, drying the sample at a room temperature; then preparing a matrix containing iron oxide nanoparticles, spotting the matrix containing iron oxide nanoparticles on the serum sample on the target plate, and drying at the room temperature;
S34: performing the mass spectrometric detection on a serum sample obtained from the step S33; and analyzing a mass spectrometric detection result, to obtain mass spectrometric result data; and
S35: uploading, by the selected detection personnel, the mass spectrometric result data to the detection platform for storage, specifically comprising: verifying a fingerprint of the selected detection personnel before the selected detection personnel uploads the mass spectrometric result data; and stamping the mass spectrometric result data with a time mark and uploading the mass spectrometric result data to the detection platform for the storage by the selected detection personnel through the mobile phone terminal after the fingerprint verification is passed; and
step 4: sending, by a user through an intelligent terminal, a data inquiry instruction to the detection platform, and tracing a source of the data inquiry instruction and verifying an internet protocol (IP) network address and a signal source position by the detection platform.