FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306673254> ?p ?o ?g. }

• W4306673254 endingPage "6969" @default.
• W4306673254 startingPage "6969" @default.
• W4306673254 abstract "Coupled with the convolutional neural network (CNN), an intelligent Raman spectroscopy methodology for rapid quantitative analysis of four pharmacodynamic substances and soluble solid in the manufacture process of Guanxinning tablets was established. Raman spectra of 330 real samples were collected by a portable Raman spectrometer. The contents of danshensu, ferulic acid, rosmarinic acid, and salvianolic acid B were determined with high-performance liquid chromatography-diode array detection (HPLC-DAD), while the content of soluble solid was determined by using an oven-drying method. In the establishing of the CNN calibration model, the spectral characteristic bands were screened out by a competitive adaptive reweighted sampling (CARS) algorithm. The performance of the CNN model is evaluated by root mean square error of calibration (RMSEC), root mean square error of cross-validation (RMSECV), root mean square error of prediction (RMSEP), coefficient of determination of calibration (Rc2), coefficient of determination of cross-validation (Rcv2), and coefficient of determination of validation (Rp2). The Rp2 values for soluble solid, salvianolic acid B, danshensu, ferulic acid, and rosmarinic acid are 0.9415, 0.9246, 0.8458, 0.8667, and 0.8491, respectively. The established model was used for the analysis of three batches of unknown samples from the manufacturing process of Guanxinning tablets. As the results show, Raman spectroscopy is faster and more convenient than that of conventional methods, which is helpful for the implementation of process analysis technology (PAT) in the manufacturing process of Guanxinning tablets." @default.
• W4306673254 created "2022-10-19" @default.
• W4306673254 creator A5017941291 @default.
• W4306673254 creator A5032316296 @default.
• W4306673254 creator A5036764322 @default.
• W4306673254 creator A5063481044 @default.
• W4306673254 creator A5073066117 @default.
• W4306673254 date "2022-10-17" @default.
• W4306673254 modified "2023-10-12" @default.
• W4306673254 title "Application of Deep-Learning Algorithm Driven Intelligent Raman Spectroscopy Methodology to Quality Control in the Manufacturing Process of Guanxinning Tablets" @default.
• W4306673254 cites W2002857564 @default.
• W4306673254 cites W2152406554 @default.
• W4306673254 cites W2275931631 @default.
• W4306673254 cites W2564339002 @default.
• W4306673254 cites W2587067382 @default.
• W4306673254 cites W2752532133 @default.
• W4306673254 cites W2757629120 @default.
• W4306673254 cites W2979783930 @default.
• W4306673254 cites W3155413873 @default.
• W4306673254 cites W4291512005 @default.
• W4306673254 cites W4294958127 @default.
• W4306673254 cites W4295755853 @default.
• W4306673254 cites W4295977022 @default.
• W4306673254 cites W4296005998 @default.
• W4306673254 cites W4280528801 @default.
• W4306673254 doi "https://doi.org/10.3390/molecules27206969" @default.
• W4306673254 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36296563" @default.
• W4306673254 hasPublicationYear "2022" @default.
• W4306673254 type Work @default.
• W4306673254 citedByCount "1" @default.
• W4306673254 countsByYear W43066732542023 @default.
• W4306673254 crossrefType "journal-article" @default.
• W4306673254 hasAuthorship W4306673254A5017941291 @default.
• W4306673254 hasAuthorship W4306673254A5032316296 @default.
• W4306673254 hasAuthorship W4306673254A5036764322 @default.
• W4306673254 hasAuthorship W4306673254A5063481044 @default.
• W4306673254 hasAuthorship W4306673254A5073066117 @default.
• W4306673254 hasBestOaLocation W43066732541 @default.
• W4306673254 hasConcept C105795698 @default.
• W4306673254 hasConcept C113196181 @default.
• W4306673254 hasConcept C119857082 @default.
• W4306673254 hasConcept C120665830 @default.
• W4306673254 hasConcept C121332964 @default.
• W4306673254 hasConcept C128990827 @default.
• W4306673254 hasConcept C139945424 @default.
• W4306673254 hasConcept C151304367 @default.
• W4306673254 hasConcept C151730666 @default.
• W4306673254 hasConcept C165838908 @default.
• W4306673254 hasConcept C178144697 @default.
• W4306673254 hasConcept C185592680 @default.
• W4306673254 hasConcept C186060115 @default.
• W4306673254 hasConcept C192562407 @default.
• W4306673254 hasConcept C22354355 @default.
• W4306673254 hasConcept C2778004101 @default.
• W4306673254 hasConcept C2778771215 @default.
• W4306673254 hasConcept C2780092901 @default.
• W4306673254 hasConcept C2780213334 @default.
• W4306673254 hasConcept C33923547 @default.
• W4306673254 hasConcept C40003534 @default.
• W4306673254 hasConcept C41008148 @default.
• W4306673254 hasConcept C43571822 @default.
• W4306673254 hasConcept C43617362 @default.
• W4306673254 hasConcept C4916135 @default.
• W4306673254 hasConcept C55493867 @default.
• W4306673254 hasConcept C86803240 @default.
• W4306673254 hasConceptScore W4306673254C105795698 @default.
• W4306673254 hasConceptScore W4306673254C113196181 @default.
• W4306673254 hasConceptScore W4306673254C119857082 @default.
• W4306673254 hasConceptScore W4306673254C120665830 @default.
• W4306673254 hasConceptScore W4306673254C121332964 @default.
• W4306673254 hasConceptScore W4306673254C128990827 @default.
• W4306673254 hasConceptScore W4306673254C139945424 @default.
• W4306673254 hasConceptScore W4306673254C151304367 @default.
• W4306673254 hasConceptScore W4306673254C151730666 @default.
• W4306673254 hasConceptScore W4306673254C165838908 @default.
• W4306673254 hasConceptScore W4306673254C178144697 @default.
• W4306673254 hasConceptScore W4306673254C185592680 @default.
• W4306673254 hasConceptScore W4306673254C186060115 @default.
• W4306673254 hasConceptScore W4306673254C192562407 @default.
• W4306673254 hasConceptScore W4306673254C22354355 @default.
• W4306673254 hasConceptScore W4306673254C2778004101 @default.
• W4306673254 hasConceptScore W4306673254C2778771215 @default.
• W4306673254 hasConceptScore W4306673254C2780092901 @default.
• W4306673254 hasConceptScore W4306673254C2780213334 @default.
• W4306673254 hasConceptScore W4306673254C33923547 @default.
• W4306673254 hasConceptScore W4306673254C40003534 @default.
• W4306673254 hasConceptScore W4306673254C41008148 @default.
• W4306673254 hasConceptScore W4306673254C43571822 @default.
• W4306673254 hasConceptScore W4306673254C43617362 @default.
• W4306673254 hasConceptScore W4306673254C4916135 @default.
• W4306673254 hasConceptScore W4306673254C55493867 @default.
• W4306673254 hasConceptScore W4306673254C86803240 @default.
• W4306673254 hasFunder F4320338464 @default.
• W4306673254 hasIssue "20" @default.
• W4306673254 hasLocation W43066732541 @default.
• W4306673254 hasLocation W43066732542 @default.
• W4306673254 hasLocation W43066732543 @default.
• W4306673254 hasOpenAccess W4306673254 @default.

• next