Evaluation of Wine Colour Under Accelerated and Oak-Cask Ageing Using CIELab and Chemometric Approaches
The present study aims to analyse the evolution of colour and browning of fortified wines submitted to oak and accelerated ageing induced by temperature, both traditional ageing processes of Madeira wines. These wines were followed during the first 2 years of ageing and were simultaneously compared...
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Veröffentlicht in: | Food and bioprocess technology 2015-11, Vol.8 (11), p.2309-2318 |
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description | The present study aims to analyse the evolution of colour and browning of fortified wines submitted to oak and accelerated ageing induced by temperature, both traditional ageing processes of Madeira wines. These wines were followed during the first 2 years of ageing and were simultaneously compared to aged reference samples, in order to disclose if accelerated ageing favours the wine evolution. The data analysis approaches followed two strategies: the first one was based on the monitoring of wine colour parameters based on CIELab methodology, while the second strategy adopted an untargeted approach, taking advantage of all wine information comprised on the UV-vis spectrum. CIELab results indicated that the greatest variation (up to 92 %) occurs during the vinification, since it was observed that wines produced from the same grape variety (Tinta Negra) acquired different characteristics already on the vinification processes. All wines tend to approach the reference samples during ageing, with the lowest Δ
E
* value obtained for Malvasia submitted to
canteiro
at 2 years of ageing (3.29 units). Sweet Tinta Negra wines, previously submitted to
estufagem
, presented the most pronounced colour change associated with ageing. The multivariate principal component analysis (PCA) model was built with aged reference samples to evaluate how young wines acquire the reference wine’s characteristics and revealed that accelerated ageing increases colour evolution and favours the homogeneity of Malvasia wines. |
doi_str_mv | 10.1007/s11947-015-1585-x |
format | Article |
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E
* value obtained for Malvasia submitted to
canteiro
at 2 years of ageing (3.29 units). Sweet Tinta Negra wines, previously submitted to
estufagem
, presented the most pronounced colour change associated with ageing. The multivariate principal component analysis (PCA) model was built with aged reference samples to evaluate how young wines acquire the reference wine’s characteristics and revealed that accelerated ageing increases colour evolution and favours the homogeneity of Malvasia wines.</description><identifier>ISSN: 1935-5130</identifier><identifier>EISSN: 1935-5149</identifier><identifier>DOI: 10.1007/s11947-015-1585-x</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Aging ; Aging (artificial) ; Agriculture ; Biotechnology ; Browning ; Chemistry ; Chemistry and Materials Science ; Chemistry/Food Science ; Color ; Data analysis ; Evolution ; Food Science ; Homogeneity ; Original Paper ; Principal components analysis ; Wines</subject><ispartof>Food and bioprocess technology, 2015-11, Vol.8 (11), p.2309-2318</ispartof><rights>Springer Science+Business Media New York 2015</rights><rights>Springer Science+Business Media New York 2015.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c429t-c3e101d349f49967e24f42d9e573ba7f8a27be533bcfbb1bc220f32ceb757bcf3</citedby><cites>FETCH-LOGICAL-c429t-c3e101d349f49967e24f42d9e573ba7f8a27be533bcfbb1bc220f32ceb757bcf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11947-015-1585-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11947-015-1585-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Carvalho, Maria João</creatorcontrib><creatorcontrib>Pereira, Vanda</creatorcontrib><creatorcontrib>Pereira, Ana C.</creatorcontrib><creatorcontrib>Pinto, João L.</creatorcontrib><creatorcontrib>Marques, José C.</creatorcontrib><title>Evaluation of Wine Colour Under Accelerated and Oak-Cask Ageing Using CIELab and Chemometric Approaches</title><title>Food and bioprocess technology</title><addtitle>Food Bioprocess Technol</addtitle><description>The present study aims to analyse the evolution of colour and browning of fortified wines submitted to oak and accelerated ageing induced by temperature, both traditional ageing processes of Madeira wines. These wines were followed during the first 2 years of ageing and were simultaneously compared to aged reference samples, in order to disclose if accelerated ageing favours the wine evolution. The data analysis approaches followed two strategies: the first one was based on the monitoring of wine colour parameters based on CIELab methodology, while the second strategy adopted an untargeted approach, taking advantage of all wine information comprised on the UV-vis spectrum. CIELab results indicated that the greatest variation (up to 92 %) occurs during the vinification, since it was observed that wines produced from the same grape variety (Tinta Negra) acquired different characteristics already on the vinification processes. All wines tend to approach the reference samples during ageing, with the lowest Δ
E
* value obtained for Malvasia submitted to
canteiro
at 2 years of ageing (3.29 units). Sweet Tinta Negra wines, previously submitted to
estufagem
, presented the most pronounced colour change associated with ageing. The multivariate principal component analysis (PCA) model was built with aged reference samples to evaluate how young wines acquire the reference wine’s characteristics and revealed that accelerated ageing increases colour evolution and favours the homogeneity of Malvasia wines.</description><subject>Aging</subject><subject>Aging (artificial)</subject><subject>Agriculture</subject><subject>Biotechnology</subject><subject>Browning</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chemistry/Food Science</subject><subject>Color</subject><subject>Data analysis</subject><subject>Evolution</subject><subject>Food Science</subject><subject>Homogeneity</subject><subject>Original Paper</subject><subject>Principal components analysis</subject><subject>Wines</subject><issn>1935-5130</issn><issn>1935-5149</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kE9LAzEQxYMoWKsfwFvAczR_m-ZYlqqFQi8WjyGbnWy33e7WZCv67d26oicvM8Pwe_OYh9Ato_eMUv2QGDNSE8oUYWqqyMcZGjEjFFFMmvPfWdBLdJXSltIJlUyMUDl_d_XRdVXb4Dbg16oBnLV1e4x43RQQ8cx7qCG6DgrsmgKv3I5kLu3wrISqKfE6nWq2mC9d_g1kG9i3e-hi5fHscIit8xtI1-giuDrBzU8fo_Xj_CV7JsvV0yKbLYmX3HTEC2CUFUKaII2ZaOAySF4YUFrkToep4zoHJUTuQ56z3HNOg-Aecq10vxNjdDfc7Y3fjpA6u-1_aXpLyyWjesqUkD3FBsrHNqUIwR5itXfx0zJqT3naIU_b52lPedqPXsMHTerZpoT4d_l_0Rc3mHi7</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Carvalho, Maria João</creator><creator>Pereira, Vanda</creator><creator>Pereira, Ana C.</creator><creator>Pinto, João L.</creator><creator>Marques, José C.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope></search><sort><creationdate>20151101</creationdate><title>Evaluation of Wine Colour Under Accelerated and Oak-Cask Ageing Using CIELab and Chemometric Approaches</title><author>Carvalho, Maria João ; Pereira, Vanda ; Pereira, Ana C. ; Pinto, João L. ; Marques, José C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c429t-c3e101d349f49967e24f42d9e573ba7f8a27be533bcfbb1bc220f32ceb757bcf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aging</topic><topic>Aging (artificial)</topic><topic>Agriculture</topic><topic>Biotechnology</topic><topic>Browning</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Chemistry/Food Science</topic><topic>Color</topic><topic>Data analysis</topic><topic>Evolution</topic><topic>Food Science</topic><topic>Homogeneity</topic><topic>Original Paper</topic><topic>Principal components analysis</topic><topic>Wines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carvalho, Maria João</creatorcontrib><creatorcontrib>Pereira, Vanda</creatorcontrib><creatorcontrib>Pereira, Ana C.</creatorcontrib><creatorcontrib>Pinto, João L.</creatorcontrib><creatorcontrib>Marques, José C.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>Food and bioprocess technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carvalho, Maria João</au><au>Pereira, Vanda</au><au>Pereira, Ana C.</au><au>Pinto, João L.</au><au>Marques, José C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Wine Colour Under Accelerated and Oak-Cask Ageing Using CIELab and Chemometric Approaches</atitle><jtitle>Food and bioprocess technology</jtitle><stitle>Food Bioprocess Technol</stitle><date>2015-11-01</date><risdate>2015</risdate><volume>8</volume><issue>11</issue><spage>2309</spage><epage>2318</epage><pages>2309-2318</pages><issn>1935-5130</issn><eissn>1935-5149</eissn><abstract>The present study aims to analyse the evolution of colour and browning of fortified wines submitted to oak and accelerated ageing induced by temperature, both traditional ageing processes of Madeira wines. These wines were followed during the first 2 years of ageing and were simultaneously compared to aged reference samples, in order to disclose if accelerated ageing favours the wine evolution. The data analysis approaches followed two strategies: the first one was based on the monitoring of wine colour parameters based on CIELab methodology, while the second strategy adopted an untargeted approach, taking advantage of all wine information comprised on the UV-vis spectrum. CIELab results indicated that the greatest variation (up to 92 %) occurs during the vinification, since it was observed that wines produced from the same grape variety (Tinta Negra) acquired different characteristics already on the vinification processes. All wines tend to approach the reference samples during ageing, with the lowest Δ
E
* value obtained for Malvasia submitted to
canteiro
at 2 years of ageing (3.29 units). Sweet Tinta Negra wines, previously submitted to
estufagem
, presented the most pronounced colour change associated with ageing. The multivariate principal component analysis (PCA) model was built with aged reference samples to evaluate how young wines acquire the reference wine’s characteristics and revealed that accelerated ageing increases colour evolution and favours the homogeneity of Malvasia wines.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11947-015-1585-x</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aging Aging (artificial) Agriculture Biotechnology Browning Chemistry Chemistry and Materials Science Chemistry/Food Science Color Data analysis Evolution Food Science Homogeneity Original Paper Principal components analysis Wines |
title | Evaluation of Wine Colour Under Accelerated and Oak-Cask Ageing Using CIELab and Chemometric Approaches |
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