| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_6f79749e86afce9444a364ab60ca3584
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_168b96db3f17abadb3464797c5c6044d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_fb5d44e15e402abbf25c43eb3f714e9c |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2030-8813
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N30-72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C20-70 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N30-88
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-6851
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H01J49-0045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N30-8686 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H01J49-26
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H01J49-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N30-72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/B01D59-44
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H01J49-40 |
| filingDate |
2022-04-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fcac1ee4ea243f5e73eb1120da650796
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1dd1780a2207a2a6c825285ba716c5d9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4370d1cc3452edcab1c65c64ba7482d9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1a4c8336ebfb56b792f173e301cc9d64 |
| publicationDate |
2022-10-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2022216788-A1 |
| titleOfInvention |
Bio-identification using low resolution tandem mass spectrometry |
| abstract |
Systems and devices are disclosed to generate a multidimensional mass fingerprint that allows for identification on a low-resolution mass spectrometer equipped with post-ionization fragmentation. For this approach, rather than interrogating a sample that is processed into peptides using a single high resolution MS scan as in traditional fingerprinting, a raw unprocessed sample (containing all biochemical species; lipids, proteins, peptides, and metabolites) is analyzed by combining Matrix-Assisted Laser Dissociation/Ionization (MALDI) ionization with low resolution tandem mass spectrometry. The proposed system combines improvements in MS hardware and software with state-of-the-art machine learning (ML) approaches to usher in rapid biological detection. This technique does not require any prior separation (liquid or gas chromatography) and is therefore rapid (e.g. less than 5 sec) and amenable to high throughput (e.g. greater than 384 samples/hr). |
| priorityDate |
2021-04-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |