FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2024558732> ?p ?o ?g. }

• W2024558732 endingPage "77" @default.
• W2024558732 startingPage "64" @default.
• W2024558732 abstract "Aroma profiles of ginseng samples at different ages were investigated using electronic nose (E-nose) and GC–MS techniques combined with chemometrics analysis. The bioactive ginsenoside and volatile oil content increased with age. E-nose performed well in the qualitative analyses. Both Principal Component Analysis (PCA) and Discriminant Functions Analysis (DFA) performed well when used to analyze ginseng samples, with the first two principal components (PCs) explaining 85.51% and the first two factors explaining 95.51% of the variations. Hierarchical Cluster Analysis (HCA) successfully clustered the different types of ginsengs into four groups. A total of 91 volatile constituents were identified. 50 of them were calculated and compared using GC–MS. The main fragrance ingredients were terpenes and alcohols, followed by aromatics and ester. The changes in terpenes, alcohols, aromatics, esters, and acids during the growth year once again confirmed the dominant role of terpenes. The Partial Least Squares (PLS) loading plot of gas sensors and aroma ingredients indicated that particular sensors were closely related to terpenes. The scores plot indicated that terpenes and its corresponding sensors contributed the most in grouping. As regards to quantitative analyze, 7 constituent of terpenes could be accurately explained and predicted by using gas sensors in PLS models. In predicting ginseng age using Back Propagation–Artificial Neural Networks (BP-ANN), E-nose data was found to predict more accurately than GC–MS data. E-nose measurement may be a potential method for determining ginseng age. The combination of GC–MS can help explain the hidden correlation between sensors and fragrance ingredients from two different viewpoints." @default.
• W2024558732 created "2016-06-24" @default.
• W2024558732 creator A5042241049 @default.
• W2024558732 creator A5059910851 @default.
• W2024558732 creator A5060121865 @default.
• W2024558732 creator A5068026986 @default.
• W2024558732 creator A5086970299 @default.
• W2024558732 date "2015-01-01" @default.
• W2024558732 modified "2023-09-23" @default.
• W2024558732 title "Qualitative and quantitative analysis on aroma characteristics of ginseng at different ages using E-nose and GC–MS combined with chemometrics" @default.
• W2024558732 cites W1973204237 @default.
• W2024558732 cites W1975370218 @default.
• W2024558732 cites W1980616359 @default.
• W2024558732 cites W2001423754 @default.
• W2024558732 cites W2004762947 @default.
• W2024558732 cites W2008914876 @default.
• W2024558732 cites W2011416012 @default.
• W2024558732 cites W2023763784 @default.
• W2024558732 cites W2044632189 @default.
• W2024558732 cites W2047891436 @default.
• W2024558732 cites W2048238375 @default.
• W2024558732 cites W2048921073 @default.
• W2024558732 cites W2056453930 @default.
• W2024558732 cites W2065533969 @default.
• W2024558732 cites W2079256152 @default.
• W2024558732 cites W2079540318 @default.
• W2024558732 cites W2085787279 @default.
• W2024558732 cites W2108217088 @default.
• W2024558732 cites W2110238320 @default.
• W2024558732 cites W2122579696 @default.
• W2024558732 cites W2126891371 @default.
• W2024558732 cites W2143336837 @default.
• W2024558732 cites W2147769580 @default.
• W2024558732 cites W2314731099 @default.
• W2024558732 doi "https://doi.org/10.1016/j.jpba.2014.08.030" @default.
• W2024558732 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25244512" @default.
• W2024558732 hasPublicationYear "2015" @default.
• W2024558732 type Work @default.
• W2024558732 sameAs 2024558732 @default.
• W2024558732 citedByCount "92" @default.
• W2024558732 countsByYear W20245587322015 @default.
• W2024558732 countsByYear W20245587322016 @default.
• W2024558732 countsByYear W20245587322017 @default.
• W2024558732 countsByYear W20245587322018 @default.
• W2024558732 countsByYear W20245587322019 @default.
• W2024558732 countsByYear W20245587322020 @default.
• W2024558732 countsByYear W20245587322021 @default.
• W2024558732 countsByYear W20245587322022 @default.
• W2024558732 countsByYear W20245587322023 @default.
• W2024558732 crossrefType "journal-article" @default.
• W2024558732 hasAuthorship W2024558732A5042241049 @default.
• W2024558732 hasAuthorship W2024558732A5059910851 @default.
• W2024558732 hasAuthorship W2024558732A5060121865 @default.
• W2024558732 hasAuthorship W2024558732A5068026986 @default.
• W2024558732 hasAuthorship W2024558732A5086970299 @default.
• W2024558732 hasConcept C105795698 @default.
• W2024558732 hasConcept C142724271 @default.
• W2024558732 hasConcept C151304367 @default.
• W2024558732 hasConcept C153180895 @default.
• W2024558732 hasConcept C154945302 @default.
• W2024558732 hasConcept C162356407 @default.
• W2024558732 hasConcept C185592680 @default.
• W2024558732 hasConcept C204787440 @default.
• W2024558732 hasConcept C205345274 @default.
• W2024558732 hasConcept C22354355 @default.
• W2024558732 hasConcept C23895516 @default.
• W2024558732 hasConcept C27438332 @default.
• W2024558732 hasConcept C2777278459 @default.
• W2024558732 hasConcept C2779232237 @default.
• W2024558732 hasConcept C2780563676 @default.
• W2024558732 hasConcept C31903555 @default.
• W2024558732 hasConcept C33923547 @default.
• W2024558732 hasConcept C41008148 @default.
• W2024558732 hasConcept C43617362 @default.
• W2024558732 hasConcept C44937612 @default.
• W2024558732 hasConcept C69738355 @default.
• W2024558732 hasConcept C71240020 @default.
• W2024558732 hasConcept C71924100 @default.
• W2024558732 hasConceptScore W2024558732C105795698 @default.
• W2024558732 hasConceptScore W2024558732C142724271 @default.
• W2024558732 hasConceptScore W2024558732C151304367 @default.
• W2024558732 hasConceptScore W2024558732C153180895 @default.
• W2024558732 hasConceptScore W2024558732C154945302 @default.
• W2024558732 hasConceptScore W2024558732C162356407 @default.
• W2024558732 hasConceptScore W2024558732C185592680 @default.
• W2024558732 hasConceptScore W2024558732C204787440 @default.
• W2024558732 hasConceptScore W2024558732C205345274 @default.
• W2024558732 hasConceptScore W2024558732C22354355 @default.
• W2024558732 hasConceptScore W2024558732C23895516 @default.
• W2024558732 hasConceptScore W2024558732C27438332 @default.
• W2024558732 hasConceptScore W2024558732C2777278459 @default.
• W2024558732 hasConceptScore W2024558732C2779232237 @default.
• W2024558732 hasConceptScore W2024558732C2780563676 @default.
• W2024558732 hasConceptScore W2024558732C31903555 @default.
• W2024558732 hasConceptScore W2024558732C33923547 @default.
• W2024558732 hasConceptScore W2024558732C41008148 @default.
• W2024558732 hasConceptScore W2024558732C43617362 @default.
• W2024558732 hasConceptScore W2024558732C44937612 @default.

• next