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Application of sequ...
Application of sequential and orthogonalised-partial least squares (SO-PLS) regression to predict sensory properties of Cabernet Sauvignon wines from grape chemical composition
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- Niimi, Jun (författare)
- University of Adelaide, Australia; CSIRO, Australia
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Tomic, O. (författare)
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Næs, T. (författare)
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Jeffery, D. W. (författare)
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Bastian, S. E. P. (författare)
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Boss, P. K. (författare)
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(creator_code:org_t)
- Elsevier Ltd, 2018
- 2018
- Engelska.
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Ingår i: Food Chemistry. - : Elsevier Ltd. - 0308-8146 .- 1873-7072. ; 256, s. 195-202
- Relaterad länk:
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https://nmbu.brage.u...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The current study determined the applicability of sequential and orthogonalised-partial least squares (SO-PLS) regression to relate Cabernet Sauvignon grape chemical composition to the sensory perception of the corresponding wines. Grape samples (n = 25) were harvested at a similar maturity and vinified identically in 2013. Twelve measures using various (bio)chemical methods were made on grapes. Wines were evaluated using descriptive analysis with a trained panel (n = 10) for sensory profiling. Data was analysed globally using SO-PLS for the entire sensory profiles (SO-PLS2), as well as for single sensory attributes (SO-PLS1). SO-PLS1 models were superior in validated explained variances than SO-PLS2. SO-PLS provided a structured approach in the selection of predictor chemical data sets that best contributed to the correlation of important sensory attributes. This new approach presents great potential for application in other explorative metabolomics studies of food and beverages to address factors such as quality and regional influences
Ämnesord
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Livsmedelsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Food Science (hsv//eng)
Nyckelord
- Data orthogonalisation
- Grape
- Multi-block data analysis
- Sensory
- Wine
- Least squares approximations
- Sensory analysis
- Sensory perception
- Chemical compositions
- Descriptive analysis
- Multi blocks
- Partial least square (PLS)
- Structured approach
- article
- clinical article
- data analysis
- human
- maturity
- metabolomics
- nonhuman
- partial least squares regression
- sensation
- analysis
- chemistry
- least square analysis
- taste
- Vitis
- Least-Squares Analysis
- Taste Perception
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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