How Subtle Is the “Terroir” Effect? Chemistry-Related Signatures of Two “Climats de Bourgogne”
Publication Date
May 23, 2014
Journal
PLOS ONE
Authors
Chloé Roullier Gall, Marianna Lucio, Laurence Noret, Philippe Schmitt Kopplin, et al
Volume
9
Issue
5
Pages
e97615
DOI
https://dx.plos.org/10.1371/journal.pone.0097615
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0097615
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24858426
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032233
Europe PMC
http://europepmc.org/abstract/MED/24858426
Web of Science
000336839400021
Scopus
84901453541
Mendeley
http://www.mendeley.com/research/subtle-terroir-effect-chemistryrelated-signatures-two-climats-bourgogne
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Mendeley | Further Information

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Scopus | Further Information

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1509665"], "description"=>"<p>Phenolics concentration as analyzed with UPLC (mg.L<sup>−1</sup>) and intensity as analyzed with FTICR-MS, from two neighboring terroirs (VR  =  Vosne Romanée and GE  =  Flagey-Echezeaux) from the 2012 vintage.</p>", "links"=>[], "tags"=>["Biochemistry", "proteomics", "Spectrometric identification of proteins", "chemical biology", "Plant biochemistry", "ecology", "Chemical ecology", "Plant science", "systems biology", "chemistry", "Analytical chemistry", "Chemical analysis", "Applied chemistry", "Chemical properties", "Chromatographic techniques", "phenolic", "concentrations", "targeted", "non-targeted"], "article_id"=>1035628, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Chloé Roullier-Gall", "Marianna Lucio", "Laurence Noret", "Philippe Schmitt-Kopplin", "Régis D. Gougeon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0097615.t001", "stats"=>{"downloads"=>8, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_phenolic_concentrations_between_targeted_and_non_targeted_analyses_/1035628", "title"=>"Comparison of phenolic concentrations between targeted and non-targeted analyses.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-05-23 03:48:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1509662"], "description"=>"<p>(A) Scores plot for the PCA analysis of the negative-ion ESI FTICR-MS for wine, skin and must extract from the 2012 vintage and for the two villages VR (in orange) and GE (in purple). The first two components explain 70.1% of the variation. H/C versus O/C van Krevelen diagram of specific masses for (B) must, (C) skin and (D) wine. (Color code: CHO, blue; CHOS, green; CHON, red; CHONS, orange). Circle areas are proportional to mass peak abundance.</p>", "links"=>[], "tags"=>["Biochemistry", "proteomics", "Spectrometric identification of proteins", "chemical biology", "Plant biochemistry", "ecology", "Chemical ecology", "Plant science", "systems biology", "chemistry", "Analytical chemistry", "Chemical analysis", "Applied chemistry", "Chemical properties", "Chromatographic techniques", "classes"], "article_id"=>1035625, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Chloé Roullier-Gall", "Marianna Lucio", "Laurence Noret", "Philippe Schmitt-Kopplin", "Régis D. Gougeon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0097615.g004", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Differentiation_of_classes_and_representation_of_related_characteristic_compounds_/1035625", "title"=>"Differentiation of classes and representation of related characteristic compounds.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-23 03:48:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1509660"], "description"=>"<p>(A) spectra in the mass range m/z 343.000–343.200 with credible assignment of elemental formulas; Histograms of the relative frequency of (B) must, (C) skin and (D) wine (Color code: CHO, blue; CHOS, green; CHON, yellow and CHONS, red). (E) Zoom on the mass 227.07138 m/z, which corresponds to the [M–H]– ion with absolute mass formula [C<sub>14</sub>H<sub>11</sub>O<sub>3</sub>]– and can most likely be assigned to resveratrol isomers (F) Correlation between normalized concentrations from UHPLC and normalized peak intensities from FTICR-MS for resveratrol (square), gallic acid (diamond) and isoquercitrin (circle).</p>", "links"=>[], "tags"=>["Biochemistry", "proteomics", "Spectrometric identification of proteins", "chemical biology", "Plant biochemistry", "ecology", "Chemical ecology", "Plant science", "systems biology", "chemistry", "Analytical chemistry", "Chemical analysis", "Applied chemistry", "Chemical properties", "Chromatographic techniques", "visualization", "extracts", "vr", "vineyard", "2012"], "article_id"=>1035623, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Chloé Roullier-Gall", "Marianna Lucio", "Laurence Noret", "Philippe Schmitt-Kopplin", "Régis D. Gougeon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0097615.g002", "stats"=>{"downloads"=>3, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Detailed_visualization_of_wine_must_and_skin_extracts_from_the_VR_vineyard_for_the_2012_vintage_in_the_ESI_8722_FTICR_MS_/1035623", "title"=>"Detailed visualization of wine, must and skin extracts from the VR vineyard for the 2012 vintage, in the ESI(−) FTICR-MS.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-23 03:48:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1509661"], "description"=>"<p>(A) H/C versus O/C van Krevelen diagram of all of the metabolites from our in-house database (MoG-DB), identifying regions specific to chemical families. (B) Scores plot for the PCA analysis of the negative-ion ESI FTICR-MS skin extracts data from both vineyards VR and GE for three different vintages; 2010 (pale), 2011 (medium) and 2012 (dark); The first two components explain 64.9% of the variation. H/C versus O/C van Krevelen diagrams of specific masses for (C) 2010, (D) 2011 and (E) 2012 vintages; (color code: CHO, blue; CHOS, green; CHON, red; CHONS, orange). Circle areas are proportional to mass peak abundance.</p>", "links"=>[], "tags"=>["Biochemistry", "proteomics", "Spectrometric identification of proteins", "chemical biology", "Plant biochemistry", "ecology", "Chemical ecology", "Plant science", "systems biology", "chemistry", "Analytical chemistry", "Chemical analysis", "Applied chemistry", "Chemical properties", "Chromatographic techniques", "vintages", "representations"], "article_id"=>1035624, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Chloé Roullier-Gall", "Marianna Lucio", "Laurence Noret", "Philippe Schmitt-Kopplin", "Régis D. Gougeon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0097615.g003", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Differentiation_of_vintages_and_representations_of_related_characteristic_compounds_/1035624", "title"=>"Differentiation of vintages and representations of related characteristic compounds.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-23 03:48:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1509659"], "description"=>"<p>(A) Scores and loading plot for the PCA of UHPLC analyses. The first two components explain 90.2% of the variation. Color code: GE (purple), VR (orange), variables (grey).</p>", "links"=>[], "tags"=>["Biochemistry", "proteomics", "Spectrometric identification of proteins", "chemical biology", "Plant biochemistry", "ecology", "Chemical ecology", "Plant science", "systems biology", "chemistry", "Analytical chemistry", "Chemical analysis", "Applied chemistry", "Chemical properties", "Chromatographic techniques", "wines", "phenolic"], "article_id"=>1035622, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Chloé Roullier-Gall", "Marianna Lucio", "Laurence Noret", "Philippe Schmitt-Kopplin", "Régis D. Gougeon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0097615.g001", "stats"=>{"downloads"=>1, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Statistical_discrimination_of_wines_according_to_phenolic_concentrations_/1035622", "title"=>"Statistical discrimination of wines according to phenolic concentrations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-23 03:48:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1509664"], "description"=>"<p>(A) Hierarchical Cluster Analysis (HCA) of VR (in orange) and GE (in purple). Skin and must samples are from 2010, 2011 and 2012. Scores plot of the PLS-DA analysis of the negative-ion ESI FTICR-MS must and skin data from both vineyards VR and GE wines samples from (B) 2010 (C) 2011 (D) 2012 and (E) 2010–2011 and 2012.</p>", "links"=>[], "tags"=>["Biochemistry", "proteomics", "Spectrometric identification of proteins", "chemical biology", "Plant biochemistry", "ecology", "Chemical ecology", "Plant science", "systems biology", "chemistry", "Analytical chemistry", "Chemical analysis", "Applied chemistry", "Chemical properties", "Chromatographic techniques", "differentiation", "samples", "vintages"], "article_id"=>1035627, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Chloé Roullier-Gall", "Marianna Lucio", "Laurence Noret", "Philippe Schmitt-Kopplin", "Régis D. Gougeon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0097615.g006", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Terroir_differentiation_for_skin_and_must_samples_from_three_different_vintages_2010_2011_2012_/1035627", "title"=>"Terroir differentiation for skin and must samples from three different vintages (2010-2011-2012).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-23 03:48:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/1509663"], "description"=>"<p>(A) Scores plot of the PCA analysis of the negative-ion ESIFTICR-MS wines data from VR (in orange) and GE (in purple) wines samples. The first two components explain 59.9% of the variation. (B) Hierarchical Cluster Analysis (HCA) of VR (in orange) and GE (in purple) Skin, wine and must samples are from 2012.</p>", "links"=>[], "tags"=>["Biochemistry", "proteomics", "Spectrometric identification of proteins", "chemical biology", "Plant biochemistry", "ecology", "Chemical ecology", "Plant science", "systems biology", "chemistry", "Analytical chemistry", "Chemical analysis", "Applied chemistry", "Chemical properties", "Chromatographic techniques", "differentiation", "2012"], "article_id"=>1035626, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Chloé Roullier-Gall", "Marianna Lucio", "Laurence Noret", "Philippe Schmitt-Kopplin", "Régis D. Gougeon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0097615.g005", "stats"=>{"downloads"=>5, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Terroir_differentiation_for_the_2012_vintage_/1035626", "title"=>"Terroir differentiation for the 2012 vintage.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-05-23 03:48:48"}

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Relative Metric

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