Multivariate classification of wines from seven clones of Monastrell grapes

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  • Multivariate classification of wines from sevenpan

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    analytical variable gives little information on the

    membership of the group we want to characterise, so

    applied previously to wine classication.1114

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    splitting 300kg of grapes of each clone into three lots.

    Fermentation was conducted in 100l stainless steel

    phite was added at the beginning of fermentation

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    taken and frozen immediately at 24 C until ana-lysed.

    Journal of the Science of Food and Agriculture J Sci Food Agric 80:497501 (2000)(Received 14 June 1999; revised version received 29 September 199EXPERIMENTALSeven clones from Monastrell grapes were cultivated

    in south-east Spain. Vines were planted at 3m1.5mspacing and trained to a two-wire trellis, with the lower

    Mineral element determinationAtomic absorption spectrometry with a Phillips PU

    9400 instrument was used for the determination of

    9; accepted 4 November 1999)

    *Correspondence to: Encarna Gomez-Plaza, Unidad de Tecnologia de Alimentos, Faculated de Veterinaria, Universidad de Murcia, Campusde Espinardo, E-30071 Murcia, SpainE-mail: encarnag@fcu.um.es# 2he main aim of this investigation was to compare

    colour characteristics, organic acids and mineral

    ents among wines from different clones of

    nastrell grapes and to obtain a multivariate

    hematical method which allows us to differentiate

    ng wines from different clones.

    (50mgkg1 grapes). Maceration was done inpresence of skins, and when alcoholic fermentat

    was nished, three rackings were made at 7, 14 and

    days after the nal pressing of the grapes. Wi

    underwent spontaneous malolactic fermentation a

    then cold stabilisation (4 C, 1month). Samples wthe use of multivariate statistical methods is necessary.

    These types of mathematical treatments have been

    tanks where the temperature was controlled at 25 C.

    No selected yeasts were added. Potassium metabisul-Abstract: The enological characteristics of differ

    The wines obtained from different clones were s

    mination of organic acids, colour characteristics

    found among clones. To check if these analytical p

    multivariate statistical analysis was done. Clu

    correctly samples belonging to the same clone.

    # 2000 Society of Chemical Industry

    Keywords: red wine; colour characteristics; mineral e

    INTRODUCTIONDifferent clones from one grape variety can differ in

    their productive characteristics and their ability to

    produce wines with different organoleptic characteris-

    tics.1

    Monastrell is the second largest red grape variety in

    Spain. Owing to its economic importance, a clonal and

    disease-free selection of this variety has been accom-

    plished2 and now the enological characteristics of the

    different selected clones are being studied. To charac-

    terise wines, it is necessary to analyse various par-

    ameters. The characterisation of wines by means of

    their chemical composition has been extensively used

    to differentiate among varieties37 and geographical

    origin.810 Owing to the large number of parameters

    that can characterise a wine, individually, eachclones of Monastrell graEncarna Gomez-Plaza,* Roco Gil-MunozCentro de Investigacion y Desarrollo Agroalimentario, Consejeria deAlberca, Murcia, Spain000 Society of Chemical Industry. J Sci Food Agric 00225142/2esd Adrian Martnez-Cutillasio Ambiente, Agricultura y Agua, Ctra La Alberca s/n, E-30150 La

    clones of Monastrell grapes have been studied.

    cted to chemical analyses, including the deter-

    mineral elements. Signicant differences were

    meters could correctly classify the wine samples,

    and principal component analysis classied

    nts; organic acids

    wire at about 0.4m and the upper wire at about 0.8m

    from the ground. Vines were trained to a bilateral

    cordon on the lower wire and spur-pruned to six two-

    node spurs per vine. Supplemental irrigation was

    provided by a drip system. The trial was established in

    spring of 1990 as a planting of certied rootings of

    1103 Paulsen (Vitis berlandieri Vitis rupestris).Rooting was eld-budded to Monastrell clones in

    early spring of 1991. The trial was designed as a

    randomised complete block with 10 vine experimental

    units and three replicates. Grapes from the different

    clones were harvested the same day and their charac-

    teristics are shown in Table 1.

    Vinications were carried out in an Experimental

    Winery located in Jumilla (Murcia, Spain). Three

    replicates of the vinication of each clone were done by000/$17.50 497

  • mineral elements. Iron was measured without any

    sample dilution at 248nm using an air/acetylene ame.

    Calcium and magnesium were measured as the

    absorptions at 422.7 and 285.2nm respectively after

    a sample dilution of 1:25. Sodium and potassium were

    measured as the emissions at 589 and 766nm

    respectively after a 1:25 dilution of the samples.

    Quantication was done, preparing calibration curves

    for each mineral element.

    Colour determinationAbsorbance measurements were done on a Hitachi

    was eliminated using ultrasound and vacuum.

    tem equipped with an a ION 300 polymeric column

    (Interaction Chemicals Inc; 300mm7.8mm) and aUV-vis detector was used. The mobile phase was

    0.005N sulphuric acid at a ow rate of 0.5mlmin1,and the column temperature was 65 C. Organic acids

    were detected at 210nm.

    To isolate the organic acids from the wine, 1ml of

    wine was passed thought a Sep-Pak C18 cartridge

    (Lida, Wisconsin, USA). The cartridge was activated

    by passing 3ml of methanol and 5ml of water. The

    organic acids were then eluted with 2ml of 0.08N

    sulphuric acid; 20ml were injected on the HPLC.

    Statistical data treatment

    Table 1. Physicochemical characteristics of grapes from different clonesstandard deviation (n=3)

    Characteristic

    Clones

    21 373 263 35 188 118 231

    Soluble solids ( Beaume) 11.520.81a 11.300.52a 11.920.51a 11.930.37a 12.020.80a 11.790.31a 12.000.61aBerry weight (g) 2.220.17c 1.880.09ab 2.120.17bc 1.930.18ab 1.820.38bc 1.970.13abc 1.960.24abcYield (kg per vine) 7.971.09a 7.891.00a 9.051.05ab 9.360.71b 9.411.00b 8.800.20ab 9.420.78bTitratable acidity (mgl1) 5.020.37ab 5.530.51bcd 5.210.39abc 5.990.32d 5.710.38cd 4.930.55a 5.360.50abcdDifferent superscript letters within the same row denote signicant differences at P

  • also used to achieve a better characterisation of wine

    colour. L* (lightness) was signicantly lower in clone373 (the one with the highest colour density), while the

    Table 4. Colour characteristics of wines from seven clones of Monastrell grapesstandard deviation (n=3)

    Clones

    35 188 118 231

    c 5.650.41a 7.480.23c 7.410.36c 7.190.69bc0.690.00a 0.660.02a 0.680.02a 0.670.03a

    26.792.12c 21.702.01abc 21.081.21abc 18.591.69ab51.912.18c 51.770.92c 47.740.81b 42.711.69a35.040.78a 44.771.85c 41.152.85bc 34.502.68a

    s at P

  • the cluster analysis. Wines from clones 231, 373, 21,

    263 and 35 are correctly grouped and separated from

    with principal component analysis showed that clones

    Figure 2. Chemical and colour parameter loadings for first and secondprincipal components (percentage of variance explained on each principalcomponent).

    E Gomez-Plaza, R Gil-Munoz, A Martnez-Cutillaseach other. Clones 188 and 118 overlap, so they must

    be very similar regarding their chemical composition,

    as also shown in their proximity in the cluster analysis.

    If we compare the distribution of the variables in the

    same plane (Fig 2), it is clear that tartaric and succinic

    acids and L* and a* are the parameters that make thehighest contribution to the localisation of clones 118,

    188 and 35, while clone 231 is highly inuenced by

    colour density as well as clone 373.

    CONCLUSIONMultivariate statistical techniques applied to the

    colour characteristics and organic acid and mineral

    element concentrations in wines from seven different

    clones allowed classication of the samples into seven

    consistent groups. The results of the analysis of

    organic acids, colour and mineral elements togetherbe observed, while tartaric, succinic and citric acids

    and iron and sodium possessed greater loadings on

    PC1.

    Fig 3 shows the distribution of the different clones in

    the plane dened by the rst two principal compo-

    nents. We can see that with this statistical analysis a

    clustering of the clones was achieved, and this group-

    ing is consistent with the classication obtained fromchromatic parameters. Food Chem 60:103108 (1997).

    15 Sudraud P, Interpretation des courbes d'absortion des vins

    rouges. An Technol Agric 7:203208 (1958).

    Figure 3. Wine factor scores for first and second principal components(percentage of variance explained on each principal component).

    50016 Amerine MA and Ough CS, Analisis de Mostos y Vinos, Editorial

    Acribia, Zaragoza (1976).

    17 Arroyo MC, Determinacion del contenido en cationes de los

    vinos de la Rioja. Anal INIA 18:153160 (1982).

    18 In igo B and Bravo F, Estudio de mostos y vinos de Galicia. Rev

    Agroquim Tecnol Alim 17:268276 (1977).

    19 Puig-Deu M, Lamuela-Raventos RM, Buxaderas S and Torre-

    Boronal C, Determination of copper and iron in must:188, 118 and 35 provide wines with good colour

    characteristics and a high content of tartaric acid.

    These results for wine composition, together with the

    high yield of these vines, make them the most

    interesting clones for the elaboration of Monastrell

    wines.

    REFERENCES1 Ia P, Versini G, De Micheli L, Bogoni M, Tedesco G and Scienza

    A, Analysis della variabilita aromatica di una popolazione de

    Chardonnay. Vignevini 12:4953 (1993).

    2 Montero FJ, Una contribucion al estudio de la preseleccion

    clonal y sanitaria del cultivar Monastrell en las D.O. Jumilla y

    Yecla. In Jornadas de Viticultura y Enologa. Seleccion Clonal y

    Sanitaria. Aspectos Vitcolas y Enologicos, Sociedad Espanola de

    Ciencias Horticolas, Murcia (1987).

    3 Noble A, Use of principal component analysis of wine headspace

    volatiles in varietal classication. Vini d'Italia 23:325340

    (1981).

    4 Symonds P and Cantagrel L, Application de l'analyse discrimi-

    nante a la differentiations des vins. Ann Fals Exp Chim 75:63

    68 (1982).

    5 Kwan W and Kowalski B, Classication of wines by applying

    pattern recognition to chemical composition data. J Food Sci

    43:13201323 (1978).

    6 Polo MC, Martn-Cordero P and Cabezudo MD, Inuence des

    characteristiques varietales de mouts de cepages differentes sur

    la fermentation alcoholique par une seule souche de levure

    selectionne. Bull OIV 638:312315 (1984).

    7 Cabezudo MD, Polo MC, Herraiz M, Reglero G, Gonzalez-

    Raurich M, Caceres I and Martnez-Alvarez P, Using dis-

    criminant analysis to characterize Spanish variety white wines.

    In The Shelf Life of Foods and Beverages. Ed by Charalambous

    G, Elsevier, Amsterdam, pp 186204 (1986).

    8 Shinohara T, L'importance des substances volatiles du vin.

    Formation et effects sur la qualite. Bull OIV 641 642:606618

    (1984).

    9 Medina B and van Zeller A, Differentiation des vins de trois

    regions en France. Conn Vigne Vin 18:225235 (1984).

    10 Martn-Alvarez P, Polo MC, Herraiz M, Caceres M, Gonzalez-

    Raurich T, Herraiz G, Reglero G and Cabezudo MD, Appli-

    cation of chemometrics to the characterization of Spanish

    wines. Flavor Sci Technol 12:489499 (1987).

    11 Forcen M, Berna A and Mulet A, Using aroma components to

    characterize Majorcan varietal red wines and musts. Food Sci

    Technol 26:5458 (1993).

    12 Garca-Jares CM, Garca-Martn MS, Carro-Marino N and

    Cela-Torrijos R, GCMS identication of volatile compounds

    of Galician (Northwestern Spain) white wines. Application to

    differenciate Rias Baixas wines from wines produced in nearby

    geographical regions. J Sci Food Agric 69:175184 (1995).

    13 Almela L, Javaloy S, Fernandez-Lopez JA and Lopez-Roca JM,

    Varietal classication of young red wines in terms of chemical

    and color parameters. J Sci Food Agric 70:173180 (1996).

    14 Heredia F, Troncoso A and Guzman-Chozas M, Multivariate

    characterization of aging status in red wines based onJ Sci Food Agric 80:497501 (2000)

  • comparison of wet and dry ashing. Am J Enol Vitic 45:2528

    (1994).

    20 Kwan W and Kowalski B, Correlation of objective chemical

    measurements and subjective sensory evaluations. Wines of

    Vitis vinifera variety Pinot Noir from France and the United

    States. Anal Chim Acta 122:215222 (1982).

    21 Gonzalez A, Bermejo F and Baluja C, Contenidos en calcio y

    magnesio en los vinos de Galicia. Rev Agroquim Tecnol Alim

    24:233238 (1984).

    22 Lazaro I, Estudio de parametros sico-qumicos de mostos y

    vinos obtenidos de uvas de la variedad Monastrell. Inuencia

    del tipo de levadura. PhD Thesis, University of Murcia (1988).

    23 Ribereau-Gayon J, Peynaud E, Sudraud P and Ribereau-Gayon

    P, Ciencias y Tecnicas del Vino. I. Analisis y Control de los Vinos,

    Editorial Hemisferio Sur, Buenos Aires (1982).

    24 Almela L, Lazaro I, Lopez-Roca JM and Fernandez-Lopez JA,

    Tartaric acid in frozen must and wines. Optimization of

    Rebeliens method and validation by HPLC. Food Chem

    47:357361 (1993).

    25 Javaloy S, Almela L, Fernandez-Lopez JA and Lopez-Roca JM,

    Vinos de la D.O. Jumilla. Inuencia de la variedad de uva en

    los componentes acdicos del vino. In II International Con-

    gress on Food Technology and Development, Vol II, CITEDA

    92, Murcia, pp 213218 (1993).

    Multivariate classication of wines from seven clonesJ Sci Food Agric 80:497501 (2000) 501

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