http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20220073649-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_9d82e678601c35a831781d2aded75dfd http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0e1cc585fe70edc7443490d1737c47cb |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-651 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-65 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-483 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-52 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-65 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-52 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-483 |
| filingDate | 2021-11-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_655b5aa6338504ce6641785467e82a86 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_65ad91684f178a9f4c22ba96a3b0c5bc |
| publicationDate | 2022-06-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-20220073649-A |
| titleOfInvention | The platform that rapidly and accurately generates big data of optical signals for material analyses and enables pattern recognitions, storage, and sharing of such data |
| abstract | The present invention is a material analysis platform that separates the optical signal of a material present in a trace amount in a sample for analysis from the optical signal of a large amount of material, and accurately measures the types and amounts of all materials in the sample. The optical signal of a trace material to be measured is divided into many regions at a level where the optical signal of a trace material to be measured can be discerned, and when the optical signal is extracted, the material is not allowed to enter and exit at the boundary between each analysis region, so that the optical signal in each region is parallelized It is an analysis platform that allows extraction. Therefore, it is possible to quickly extract and analyze optical signals for all substances in the analysis sample without overlapping and omission between substances used for optical signal extraction of each analysis area. In addition, the analysis platform of the present invention enables the sharing of optical signals and pattern big data. The present invention relates to a substrate on which micro-sized or larger cells for extracting Raman signals and various optical signals (the present inventor calls the cell name Ramcell or RamCell) are repeatedly distributed (the present inventor refers to this substrate as a Ramcell substrate) and Their manufacturing methods, patterns, modules and materials for optical signal amplification inside each Ramcell, modules and operating methods for extracting optical signals from each Ramcell, acquiring, processing, and purifying analytes, and adding analytes to each Ramcell It includes the distribution module and operation method, optical signal big data storage, analysis, sharing module and operation method. Each module may be made by micro-electro-mechanical systems (aka MEMS) technology. In particular, rapid and accurate laser generation, optical signal extraction and analysis, etc. are possible through the parallel optical signal extraction and analysis module (the present inventor refers to this module as a RamCell processing unit or RamCell Processing Unit, also known as RPU). The present invention can be used for extracting various optical signals, but for the purpose of explaining the present invention, a Raman signal among various optical signals is focused on. Therefore, all bills, specific contents, and parts that mention the Raman signal in the drawings are not limited to the Raman signal. The present invention enables the generation and amplification of Raman signals with high reproducibility, and rapid and precise Raman signal extraction and analysis through standardized Ramcells for Raman signals of numerous substances as well as trace substances in samples for analysis. Through the present invention, the frequency and range of the Raman spectrum peak representing each material according to each temperature, pressure, composition of the sample, characteristics of laser and LED, and Ramcell structure, and the concentration of each material (or the number of molecules in the sample) ), it is possible to form a library by collecting big data of the Raman spectrum that standardizes the size and range of the peaks. Other variables related to substances can also be made into big data. For example, when the sample for analysis is blood, various information about the body from which the blood is extracted and psychological, social, economic, geographical factors related to the subject of the body may also be included. More specifically, the age, weight, race, family history, stress level, living location, occupation, etc. of the subject of the body may be the independent variables related to the spectrum. Using the big data library of optical signal spectra of each pure substance and mixture, each spectral pattern recognition model can be formed. The present invention includes a library of Raman signals, Raman signal pattern recognition machine learning software, and a module and method for transmitting and receiving Raman signals to and from a server. Users of the device made by the present invention update optical signal data for each material on the server, enabling real-time update of signal patterns and libraries for each material, and users can share updated optical signal patterns and related models have. The present invention provides a Ramcell and a Ramcell substrate, and a module and operating method using the same, including Surface Plasmonic Resonance (SPR), Polymerase Chain Reaction (PCR), and Enzyme-Linked Immunosorbent. /Immunospecific Assay, aka ELISA). The present invention can be used as equipment, parts, and materials for drug analysis required for disease diagnosis and pharmaceuticals, and other various material analysis. The RPU of the present invention can be used for skin regeneration treatment, image extraction of internal organs, nutritional analysis of food, and the like. Through the present invention, the state of the body can be determined and predicted through analysis of the material of the body. It also allows us to judge the correlation between the material of the body and the psychological, racial, gender, social, economic, and geographical factors related to the subject of the body. Through the present invention, it is possible to quickly extract the optical signals of most materials included in the sample, so that the composition and characteristics of the sample can be measured as accurately and quickly as possible. Therefore, it can be easy to find and analyze trace substances. And the present invention is a platform that allows big data collection of material data, model optimization through it, and sharing of such big data and models. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20220122935-A |
| priorityDate | 2020-11-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 59.