http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021372932-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_91c061256cc718dfcc1de61dd290496c |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-8411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2201-129 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C12M41-48 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B13-0265 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-65 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-143 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-65 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-14 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B13-02 |
| filingDate | 2021-08-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_929330570665c39739ebfb3f44413357 |
| publicationDate | 2021-12-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | US-2021372932-A1 |
| titleOfInvention | Real-time raman spectroscopic monitoring of wine properties and constituents during wine production |
| abstract | A method of characterizing and monitoring a pressing process includes acquiring online Raman spectra of a juice pressing process within a vessel at different times during the pressing process to generate a training data set; acquiring physical samples from pressing process near in time to the acquired Raman spectra; performing offline measurements of the target analyte properties and/or compositions using an assay measurement technique; generating a correlative model of the target analyte such that spectral changes in the training data set correlate with the offline measurements of the target analyte properties and/or compositions; acquiring online Raman spectra of a subsequent run of the pressing process within the vessel at different times during the run to generate a process data set; and applying the correlative model to the process data set to qualitatively and/or quantitatively predict a value of a property and/or composition of the target analyte. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115274001-A |
| priorityDate | 2020-02-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 38.