FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2946512110> ?p ?o ?g. }

• W2946512110 endingPage "1255" @default.
• W2946512110 startingPage "1247" @default.
• W2946512110 abstract "Abstract The diversity of compounds and variations in the aroma and flavor of ground and roasted coffee make the sensory evaluation by the “cupping test” a complex task to be performed. A total of 217 commercial coffee samples classified as different beverage type and with different roast degrees were evaluated by official cuppers in the “cupping test” and the responses for sensory attributes were used to verify the correlation to the near‐infrared (NIR) spectra. Chemometric models based on partial least squares (PLS) were built for the powder fragrance, drink aroma, acidity, bitterness, flavor, body, astringency, residual flavor, and overall quality. The parameters of merit such as accuracy, fit, linearity, residual prediction deviation, sensitivity, analytical sensitivity, limits of detection, and quantification were evaluated. All sensory attributes were predicted with adequate values according to the parameters of merit. The proposed method, when compared to the “cupping test,” is an alternative to the determination of the coffee sensory attributes. The results demonstrated that the use of NIR associated with chemometrics is efficient and recommended for the prediction of sensorial attributes of coffee by means of the direct analysis of roasted and ground samples, and without any additional preparation, it is a promising tool for the coffee industry. Practical Application This study has shown potential use of near‐infrared (NIR) spectroscopy coupled with a chemometric tool for the prediction of sensory attributes of commercial coffees. Prediction models for powder fragrance, drink aroma, acidity, bitterness, flavor, body, astringency, residual flavor, and overall quality were built and showed good predictive capacity. The use of NIR allows rapid analysis (1 min or less per sample), and it was possible to evaluate all sensory attributes directly in roasted and ground coffee, without beverage preparation." @default.
• W2946512110 created "2019-05-29" @default.
• W2946512110 creator A5047312566 @default.
• W2946512110 creator A5061206562 @default.
• W2946512110 creator A5076809586 @default.
• W2946512110 date "2019-05-22" @default.
• W2946512110 modified "2023-10-04" @default.
• W2946512110 title "Brazilian Coffee Blends: A Simple and Fast Method by Near‐Infrared Spectroscopy for the Determination of the Sensory Attributes Elicited in Professional Coffee Cupping" @default.
• W2946512110 cites W1164144581 @default.
• W2946512110 cites W175712196 @default.
• W2946512110 cites W1779377117 @default.
• W2946512110 cites W1967533808 @default.
• W2946512110 cites W1969766614 @default.
• W2946512110 cites W1983651480 @default.
• W2946512110 cites W1985737962 @default.
• W2946512110 cites W1988750272 @default.
• W2946512110 cites W1993166110 @default.
• W2946512110 cites W1998643803 @default.
• W2946512110 cites W2009152055 @default.
• W2946512110 cites W2012050485 @default.
• W2946512110 cites W2017422910 @default.
• W2946512110 cites W2018654829 @default.
• W2946512110 cites W2029691433 @default.
• W2946512110 cites W2033560004 @default.
• W2946512110 cites W2033706208 @default.
• W2946512110 cites W2035706045 @default.
• W2946512110 cites W2037275106 @default.
• W2946512110 cites W2046250668 @default.
• W2946512110 cites W2054860494 @default.
• W2946512110 cites W2060667510 @default.
• W2946512110 cites W2084048868 @default.
• W2946512110 cites W2109606373 @default.
• W2946512110 cites W2130053340 @default.
• W2946512110 cites W2136552966 @default.
• W2946512110 cites W2144792319 @default.
• W2946512110 cites W2337172894 @default.
• W2946512110 cites W2344809689 @default.
• W2946512110 cites W2464369980 @default.
• W2946512110 cites W2504145382 @default.
• W2946512110 cites W2559832387 @default.
• W2946512110 cites W2758272332 @default.
• W2946512110 cites W2790983312 @default.
• W2946512110 doi "https://doi.org/10.1111/1750-3841.14617" @default.
• W2946512110 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31116425" @default.
• W2946512110 hasPublicationYear "2019" @default.
• W2946512110 type Work @default.
• W2946512110 sameAs 2946512110 @default.
• W2946512110 citedByCount "28" @default.
• W2946512110 countsByYear W29465121102020 @default.
• W2946512110 countsByYear W29465121102021 @default.
• W2946512110 countsByYear W29465121102022 @default.
• W2946512110 countsByYear W29465121102023 @default.
• W2946512110 crossrefType "journal-article" @default.
• W2946512110 hasAuthorship W2946512110A5047312566 @default.
• W2946512110 hasAuthorship W2946512110A5061206562 @default.
• W2946512110 hasAuthorship W2946512110A5076809586 @default.
• W2946512110 hasConcept C105795698 @default.
• W2946512110 hasConcept C11413529 @default.
• W2946512110 hasConcept C130277099 @default.
• W2946512110 hasConcept C151304367 @default.
• W2946512110 hasConcept C155512373 @default.
• W2946512110 hasConcept C15744967 @default.
• W2946512110 hasConcept C169760540 @default.
• W2946512110 hasConcept C180747234 @default.
• W2946512110 hasConcept C185592680 @default.
• W2946512110 hasConcept C22354355 @default.
• W2946512110 hasConcept C24223341 @default.
• W2946512110 hasConcept C2780563676 @default.
• W2946512110 hasConcept C2780719635 @default.
• W2946512110 hasConcept C31903555 @default.
• W2946512110 hasConcept C31972630 @default.
• W2946512110 hasConcept C33923547 @default.
• W2946512110 hasConcept C41008148 @default.
• W2946512110 hasConcept C43571822 @default.
• W2946512110 hasConcept C43617362 @default.
• W2946512110 hasConcept C94487597 @default.
• W2946512110 hasConceptScore W2946512110C105795698 @default.
• W2946512110 hasConceptScore W2946512110C11413529 @default.
• W2946512110 hasConceptScore W2946512110C130277099 @default.
• W2946512110 hasConceptScore W2946512110C151304367 @default.
• W2946512110 hasConceptScore W2946512110C155512373 @default.
• W2946512110 hasConceptScore W2946512110C15744967 @default.
• W2946512110 hasConceptScore W2946512110C169760540 @default.
• W2946512110 hasConceptScore W2946512110C180747234 @default.
• W2946512110 hasConceptScore W2946512110C185592680 @default.
• W2946512110 hasConceptScore W2946512110C22354355 @default.
• W2946512110 hasConceptScore W2946512110C24223341 @default.
• W2946512110 hasConceptScore W2946512110C2780563676 @default.
• W2946512110 hasConceptScore W2946512110C2780719635 @default.
• W2946512110 hasConceptScore W2946512110C31903555 @default.
• W2946512110 hasConceptScore W2946512110C31972630 @default.
• W2946512110 hasConceptScore W2946512110C33923547 @default.
• W2946512110 hasConceptScore W2946512110C41008148 @default.
• W2946512110 hasConceptScore W2946512110C43571822 @default.
• W2946512110 hasConceptScore W2946512110C43617362 @default.
• W2946512110 hasConceptScore W2946512110C94487597 @default.
• W2946512110 hasFunder F4320321091 @default.
• W2946512110 hasIssue "6" @default.

• next