TY - JOUR
T1 - GC-MS metabolite profiling of extreme southern Pinot Noir wines
T2 - Effects of vintage, barrel maturation, and fermentation dominate over vineyard site and clone selection
AU - Schueuermann, Claudia
AU - Khakimov, Bekzod
AU - Engelsen, Soren Balling
AU - Bremer, Phil
AU - Silcock, Patrick
N1 - Includes bibliographical references.
PY - 2016
Y1 - 2016
N2 - Wine is an extremely complex beverage that contains a multitude of volatile and nonvolatile compounds. This study investiged the effect of vineyard site and grapevine clone on the volatile profiles of commercially produced Pinot noir wines from central Otago, New Zealand. Volatile metabolites in Pinot noir wines produced from five grapevine clones grown on six vineyard sites in close proximity, over two consecutive vintages, were surveyed using gas chromatography mass spectrometry (GC-MS). The raw GC-MS data were processed using parallel factor analysis (PARAFAC2), and final metabolite data were analyzed by principal component analysis (PCA). Winemaking conditions, vintage, and barrel maturation were found to be the most dominant factors. The effects of vineyard site and clone were mostly vintage dependent. Although four compounds including beta-citronellol, homovanillyl alcohol, N-(3-methylbutyl)acetamide, and N-(2-phenylethyl)acetamide discriminated the vineyard sites independent of vintage, Pinot noir wines from different clones were only partially discriminated by PCA, and marker compound selection remained challenging.
AB - Wine is an extremely complex beverage that contains a multitude of volatile and nonvolatile compounds. This study investiged the effect of vineyard site and grapevine clone on the volatile profiles of commercially produced Pinot noir wines from central Otago, New Zealand. Volatile metabolites in Pinot noir wines produced from five grapevine clones grown on six vineyard sites in close proximity, over two consecutive vintages, were surveyed using gas chromatography mass spectrometry (GC-MS). The raw GC-MS data were processed using parallel factor analysis (PARAFAC2), and final metabolite data were analyzed by principal component analysis (PCA). Winemaking conditions, vintage, and barrel maturation were found to be the most dominant factors. The effects of vineyard site and clone were mostly vintage dependent. Although four compounds including beta-citronellol, homovanillyl alcohol, N-(3-methylbutyl)acetamide, and N-(2-phenylethyl)acetamide discriminated the vineyard sites independent of vintage, Pinot noir wines from different clones were only partially discriminated by PCA, and marker compound selection remained challenging.
KW - GC-MS
KW - PARAFA C2
KW - Vineyard site
KW - Clone
KW - Vintage
KW - Pinot noir
KW - Wine
KW - VOC
KW - Volatile
U2 - 10.1021/acs.jafc.5b05861
DO - 10.1021/acs.jafc.5b05861
M3 - Article
C2 - 26857342
SN - 0021-8561
VL - 64
SP - 2342
EP - 2351
JO - Journal of Agricultural and Food Chemistry
JF - Journal of Agricultural and Food Chemistry
IS - 11
ER -