About: Multivariate statistical approaches for wine classification based on low molecular weight phenolic compounds

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article by M.J. CABRITA et al published 10 April 2012 in Australian Journal of Grape and Wine Research

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у квітні 2012 (uk) im April 2012 veröffentlichter wissenschaftlicher Artikel (de) article by M.J. CABRITA et al published 10 April 2012 in Australian Journal of Grape and Wine Research (en)
publication date	wds:Q56977739-82888E39-328B-446C-BC11-0583FBD95E28
publication date	2012-04-10 00:00:00Z (xsd:dateTime)
cites work	wds:Q56977739-08653059-9F7E-469B-AA3E-136DC1DE78A7 wds:Q56977739-12EB819C-41F5-453C-813B-DD0D4F46B02B wds:Q56977739-157B4F16-8787-4F92-A73C-E3B3F00BF959 wds:Q56977739-40A559CA-8065-410A-A485-C85D8F208FB8 wds:Q56977739-46B24A7F-94E3-4A53-9BE8-1070A11337DD wds:Q56977739-56730018-52D3-4D8E-9094-E896306D98ED wds:Q56977739-774C68AF-3EE2-4DF2-8F79-014397FD0183 wds:Q56977739-81899781-BB19-4095-BBB4-9049575ABE8E wds:Q56977739-83202910-B0AB-483B-91DA-28189774BDC1 wds:Q56977739-83FEA48C-BF36-4F55-92E9-D099EE2F81BE wds:Q56977739-8BEF23EE-230E-4AED-8390-55D0CB0BE07E wds:Q56977739-9E6D8E9B-550B-4D28-8615-1B08FB45B452 wds:Q56977739-C4813868-A6CD-40DA-BEB8-F1839A775686 wds:Q56977739-D8BEFDC1-F95C-4A5A-9BA7-51B97682644D wds:Q56977739-DBCFB1F6-A990-423A-8593-40D30BED52B0
cites work	Partialling out the Spatial Component of Ecological Variation The effect of time and storage conditions on the phenolic composition and colour of white wine Wine flavor and aroma JATOON: Java tools for neural networks Multivariate Analysis of Ecological Data using CANOCO The influence of yeast on the aroma of Sauvignon Blanc wine Comparison of phenolic acids and flavan-3-ols during wine fermentation of grapes with different harvest times Phenolic Compounds in White Grapes Grown in New York Environmental control and spatial structure in ecological communities: an example using oribatid mites (Acari, Oribatei) Analysis for low molecular weight phenolic compounds in a red wine aged in oak chips Relative characterization of rosemary samples according to their geographical origins using microwave-accelerated distillation, solid-phase microextraction and Kohonen self-organizing maps. Impact of malolactic fermentation on low molecular weight phenolic compounds Geographical classification of weathered crude oil samples with unsupervised self-organizing maps and a consensus criterion Use of solid-supported liquid–liquid extraction in the analysis of polyphenols in wine Analysis of non-coloured phenolics in red wine: Effect of Dekkera bruxellensis yeast
author name string	wds:Q56977739-11D25CF0-FF71-4E6C-B51A-42625F6E4BA7 wds:Q56977739-1BA337D7-32DF-4A8C-804C-42C228B46C11 wds:Q56977739-830B383B-9701-45DE-9616-68B9D0F5B37E wds:Q56977739-AC508B95-930B-4A56-A8BC-1F47BED9C1AC wds:Q56977739-AF06CA3A-0D3C-4C8E-A2F8-7D9564900D4E
author name string	A.M. COSTA FREITAS F. REI J. AIRES-DE-SOUSA M.D.R. GOMES DA SILVA M.J. CABRITA
rdfs:label	Multivariate statistical approaches for wine classification based on low molecular weight phenolic compounds (en) Multivariate statistical approaches for wine classification based on low molecular weight phenolic compounds (nl)
skos:prefLabel	Multivariate statistical approaches for wine classification based on low molecular weight phenolic compounds (en) Multivariate statistical approaches for wine classification based on low molecular weight phenolic compounds (nl)
name	Multivariate statistical approaches for wine classification based on low molecular weight phenolic compounds (en) Multivariate statistical approaches for wine classification based on low molecular weight phenolic compounds (nl)
title	wds:Q56977739-D373B2E1-00D0-4578-B86E-1077358DA33D
title	Multivariate statistical approaches for wine classification based on low molecular weight phenolic compounds (en)
page(s)	wds:Q56977739-D0D33A47-8104-4F4D-B6EA-FCCE538E1C56
page(s)	138-146
instance of	wds:Q56977739-496E0C4F-5A4D-453D-8B3B-2AFD885488CB
instance of	scholarly article
main subject	wds:Q56977739-36DD2BC6-6E9C-44EB-A369-AA99B4D248D0 wds:Q56977739-CF366F1E-848E-4F19-B5D2-8E4CA4808D49
main subject	statistics multivariate statistics
published in	wds:Q56977739-9F8A21FA-58A9-410C-8961-A5FDED4E9748
published in	Australian Journal of Grape and Wine Research
issue	wds:Q56977739-629F9E6B-0686-4863-914B-B7DC79B13F3A
volume	wds:Q56977739-E45526AF-0FE7-4FB0-98A5-24069E75BA1A
issue	2
volume	18
DOI	wds:Q56977739-73A6C203-EC11-4C91-935D-A47B95F9A6F2
DOI	http://dx.doi.org/10.1111/J.1755-0238.2012.00182.X
DOI	10.1111/J.1755-0238.2012.00182.X
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56977739
is cites work of	Mechanism of proanthocyanidins-induced alcoholic fermentation enhancement in Saccharomyces cerevisiae. A critical review on the applications of artificial neural networks in winemaking technology Finding Sensory Profilers Amongst Red Wine Composition: A Novel Nationwide Approach
is cites work of	wds:Q53427846-B064F7D9-DCD4-4998-8697-986E2C03A765 wds:Q38606539-49576EB2-0E97-4447-B323-884C818B9029 wds:Q58861435-A47EABBD-F4FE-400E-B832-B4A08350BA9F

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