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Electronic Nose analysis of milk from cows grazing on two different Alpine vegetation types

Published online by Cambridge University Press:  18 May 2009

Luca Falchero*
Affiliation:
Department Agroselviter, University of Turin – via Leonardo da Vinci, 44 – 10095Grugliasco (Turin), Italy
Giacomo Sala
Affiliation:
Agricultural Research Council (CRA), Zootechnics Experimental Institute, via Pianezza, 115 – 10151Turin, Italy
Alessandra Gorlier
Affiliation:
Department Agroselviter, University of Turin – via Leonardo da Vinci, 44 – 10095Grugliasco (Turin), Italy
Giampiero Lombardi
Affiliation:
Department Agroselviter, University of Turin – via Leonardo da Vinci, 44 – 10095Grugliasco (Turin), Italy
Michele Lonati
Affiliation:
Department Agroselviter, University of Turin – via Leonardo da Vinci, 44 – 10095Grugliasco (Turin), Italy
Giorgio Masoero
Affiliation:
Department Agroselviter, University of Turin – via Leonardo da Vinci, 44 – 10095Grugliasco (Turin), Italy
*
*For correspondence; e-mail: [email protected]

Abstract

The nutritional distinctiveness of pasture-fed dairy products is mainly influenced by the transfer of specific chemical compounds from the grass to the milk and by their effect on rumen microflora and animal metabolism. Thus, the pasture-fed origin has to be objectively proven, using fast and reproducible analytical methods applied to finished products, in order to protect consumers against potential frauds. In this work, Electronic Nose patterns of Alpine milks produced by cows grazing Trifolium alpinum and Festuca nigrescens pasture types have been examined, in order to test the potential use of this device for routine control analyses of the botanical origin of milk and dairy products. The data have been treated with different multivariate analyses (MANOVA, LDA) and chemometrics (MPLS). The results allow a very good classification of the milks, according to the two treatments. Such results demonstrate that this device could be successfully applied to PDO dairy products food chain as a tool for the determination of their dietary origin.

Type
Research Article
Copyright
Copyright © Proprietors of Journal of Dairy Research 2009

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References

Acamovic, T & Brooker, JD 2005 Biochemistry of plant secondary metabolites and their effects in animals. Proceedings of the Nutrition Society 64 403412CrossRefGoogle ScholarPubMed
Ampuero, S & Bosset, JO 2003 The electronic nose applied to dairy products: a review. Sensors and Actuators B 94 112CrossRefGoogle Scholar
AOAC 2007 Official Methods of Analysis. 18th edition. Association of Official Analytical Chemists, Arlington, Virginia, USAGoogle Scholar
Barker, M & Rayens, W 2003 Partial least squares for discrimination. Journal of Chemometrics 17 166173CrossRefGoogle Scholar
Besle, JM, Lamaison, JL, Dujol, B, Pradel, P, Fraisse, D, Viala, D & Martin, B 2005 Flavonoids and other phenolics in milk as a putative tool for traceability of dairy production system. In Indicators of milk and beef quality, pp. 345350. Wageningen, the Netherlands: Wageningen Academic PressCrossRefGoogle Scholar
Bornard, A & Bassignana, M 2001 Typologie agro-écologique des végétations d'alpages en zone intra-alpine des Alpes Nord-Occidentales [Agro-ecological typology of pasture vegetation in the internal North-Western Alps]. Arti Grafiche E Duc, Aosta, ItalyGoogle Scholar
Bosset, JO, Butikofer, U, Gauch, R & Sieber, R 1994 Caractèrisation de fromages d'alpages subalpins suisses: mise en évidence par GC-MS de terpènes et d'hydrocarbures aliphatiques lors de l'analyse par ““purge and trap““ des aromes volatils de ces fromages [Swiss Alpine cheeses characterization: identification of terpenes and aliphatic hydrocarbons by GC-MS]. Schweizerische Milchwirtschaftliche Forschung 23 3741Google Scholar
Bosset, JO, Jeangros, B, Berger, T, Bütikofer, U, Collomb, M, Gauch, R, Lavanchy, P, Scehovic, J, Troxler, J & Sieber, R 1999 Comparaison de fromages à pâte dure de type Gruyère produits en région de montagne et de plaine [Comparison of Gruyére hard cheeses produced in highland and lowland]. Revue Suisse D'Agricolture 31 1722Google Scholar
Capone, S, Epifani, M, Quaranta, F, Siciliano, P, Taurino, A & Vasanelli, L 2001 Monitoring of rancidity of milk by means of an electronic nose and a dynamic PCA analysis. Sensors and Actuators B 78 174179CrossRefGoogle Scholar
Carpino, S 2008 Cheese flavour measured with sensory and instrumental methods: a review. In Proc. 5th IDF Symposium on cheese ripening, p. 46. Bern, SwitzerlandGoogle Scholar
Cavallero, A, Rivoira, G & Talamucci, P 2002 Pascoli [Pastures] In Coltivazioni erbacee – Foraggere e tappeti erbosi, pp. 239294. Bologna, Italy: PatronGoogle Scholar
Cavallero, A, Aceto, P, Gorlier, A, Lombardi, G, Lonati, M, Martinasso, B & Tagliatori, C 2007 I tipi pastorali delle Alpi piemontesi [Pasture vegetation types of Piedmont Alps]. Alberto Perdisa, Bologna, ItalyGoogle Scholar
Chilliard, Y, Ferlay, A & Doreau, M 2001 Effect of different types of forages, animal fat or marine oils in cow's diet on milk fat secretion and composition, especially conjugated linoleic acid (CLA) and polyunsatured fatty acids. Livestock Production Science 70 3148CrossRefGoogle Scholar
Collomb, M, Butikofer, U, Sieber, R, Jeangros, B & Bosset, JO 2002 Correlation between fatty acids in cows' milk fat produced in the lowlands, mountains and highlands of Switzerland and the botanical composition of the fodder. International Dairy Journal 12 661666CrossRefGoogle Scholar
Coulon, JB & Priolo, A 2002 La qualité sensorielle des produits laitiers et de la viande dépend des fourrages consommés par les animaux [The sensorial quality of dairy products depends on the forage fed by animals]. Productions Animales 15 333342CrossRefGoogle Scholar
Daget, P & Poissonet, J 1969 Analyse phytologique des prairies – Applications agronomiques [Grassland phytological analysis – Agronomical applications]. Montpellier, France: Centre National de la Recherche ScientifiqueGoogle Scholar
Daget, P & Poissonet, J 1972 Un procédé d'estimation de la valeur pastorale des paturage [Pastoral value estimation]. Fourrages 49 3139Google Scholar
Diaz-Uriarte, R 2002 Incorrect analysis of crossover trials in animal behaviour research. Animal behaviour 63 815822CrossRefGoogle Scholar
Drake, MA, Gerard, PD, Kleinhenz, JP & Harper, WJ 2003 Application of an Electronic Nose to correlate with descriptive sensory analysis of aged Cheddar cheese. Lebensmittel-Wissenschaft und Technologie 36 1320CrossRefGoogle Scholar
Dumont, JP & Adda, J 1978 Occurrence of sesquiterpenes in mountain cheese volatiles. Journal of Agricultural and Food Chemistry 26 364367CrossRefGoogle Scholar
Dumont, B 1996 Préférences et sélection alimentaire au paturage [Preferences and selection at pasture]. Productions Animales 9 359366CrossRefGoogle Scholar
Elgersma, A, Tamminga, S & Ellen, G 2006 Modifying milk composition through forage. Animal Feed Science and Technology 131 207225CrossRefGoogle Scholar
Engel, E, Ferlay, A, Cornu, A, Chilliard, Y, Agabriel, C, Bielicki, G & Martin, B 2007 Relevance of isotopic and molecular biomarkers for the authentication of milk according to production zone and type of feeding of the cow. Journal of Agricultural and Food Chemistry 55 90999108CrossRefGoogle ScholarPubMed
Falchero, L, Coppa, M, Fossi, A, Lombardi, G, Lonati, M & Cavallero, A 2008 Variation of milk fatty acid composition depending on the Alpine vegetation type grazed by dairy cows. In Proc. 5th IDF Symposium on cheese ripening, p. 96. Bern, SwitzerlandGoogle Scholar
Fernandez, C, Astier, C, Rock, E, Coulon, JB & Berdagué, JL 2003 Characterization of milk by analysis of its terpene fractions. International Journal of Food Science and Technology 38 445451CrossRefGoogle Scholar
Fraisse, D, Carnat, A, Viala, D, Pradel, P, Besle, JM, Coulon, JB, Felgines, C & Lamaison, JL 2007 Polyphenolic composition of a permanent pasture: variations related to the period of harvesting. Journal of the Science of Food and Agriculture 87 24272435.CrossRefGoogle Scholar
Goodner, KL, Dreher, JG & Rouseff, RL 2001 The dangers of creating false classifications due to noise in electronic nose and similar multivariate analyses. Sensors and Actuators B 80 261266CrossRefGoogle Scholar
Guichard, H, Leconte, D, Picoche, B, Pagés, J & Simon, JC 2006 Influence de la composition floristique des prairies permanentes normandes sur les caractéristiques des laits crus dérivés [Influence of the botanical composition of Normandy grasslands on the characteristics of derived raw milk]. Fourrages 188 457475Google Scholar
Hauswirth, CB, Scheeder, MRL & Beer, JH 2004 High omega-3 fatty acid content in alpin cheese. The basis for an Alpine Paradox. Circulation 109 103107CrossRefGoogle Scholar
Jou, KD & Harper, WJ 1998 Pattern recognition of Swiss cheese aroma compounds by SPME/GC and an electronic nose. Milchwissenschaft 53 259263Google Scholar
Jouglet, JP & Dorée, A 1987 Le pâturage mixte ovin- équin [Mixed grazing sheep – horses]. Rapport d'étude. Grenoble, France: CEMAGREF- INERMGoogle Scholar
Karoui, R, De Baederdemaeker, J & Dufour, E 2008 Utilisation of front face fluorescence spectroscopy as a tool for the prediction of some chemical parameters and the melting point of semi-hard and hard cheeses: a preliminary study. Journal European Food Research and Technology 226 11191126CrossRefGoogle Scholar
Kenward, MG & Jones, B 2003 Design and Analysis of Cross-Over Trials Second Edition. Boca Raton, USA: Chapman and Hall/CRCGoogle Scholar
Larcher, W 2003 Physiological Plant Ecology, 4th Ed. Berlin, Germany: SpringerCrossRefGoogle Scholar
Leiber, F, Scheeder, MRL, Wettstein, HR & Kreuzer, M 2004 Milk fatty acid profile of cows under the influence of alpine hypoxia and high mountainous forage quality. Journal of Animal and Feed Sciences 13 Supplement 1 693696CrossRefGoogle Scholar
Leiber, F, Kreuzer, M, Nigg, D, Wettstein, HR & Scheeder, MRL 2005 A study on the causes for the elevated n-3 Fatty acids in cows' milk of Alpine origin. Lipids 40 191202CrossRefGoogle Scholar
Lombardi, G, Falchero, L, Fossi, A, Coppa, M & Tava, A 2007 Volatile components of alpine clover and red fescue vegetation types exploited by dairy cattle. Journal of Mountain Agriculture on the Balkans 216224Google Scholar
Martin, B, Buchin, S & Hauwuy, A 2005a Effet de la nature botanique des paturages sur les caractéristiques sensorielles du fromage de Beaufort [Effect of the botanical composition of pastures on Beaufort cheese sensorial characteristics]. Sciences des Aliments 25 6775CrossRefGoogle Scholar
Martin, B, Verdier-Metz, I, Buchin, S, Hurtaud, C & Coulon, JB 2005b How do the nature of forages and pasture diversity influence the sensory quality of dairy livestock products? Animal Science Review 81 205212CrossRefGoogle Scholar
Masoero, G, Sala, G, Contarini, G & Moioli, BM 2007 Efficiency of different spectroscopies and the Electronic Nose techniques for the characterization of milk. Italian Journal of Animal Science 6 450452CrossRefGoogle Scholar
Massart, DL, Vandeginste, BGM, Deming, SN, Michotte, Y & Kaufman, L 1988 Chemometrics: a textbook. Amsterdam, the Netherlands: ElsevierGoogle Scholar
Meijs, JAC 1981 Herbage intake by grazing dairy cows. PhD Dissertation. Wageningen, The Netherlands: Wageningen UniversityGoogle Scholar
Pardo, M & Sberveglieri, G 2005 Sensors and data analysis for Electronic Nose. Journal of the Argentine Chemical Society 93 8998Google Scholar
Pillonel, L, Bosset, JO & Tabacchi, R 2002 Data transferability between two MS-based electronic noses using processed cheeses and evaporated milk as reference materials. European Food Research and Technology 214 160162CrossRefGoogle Scholar
Pillonel, L, Ampuero, S, Tabacchi, R & Bosset, JO 2003 Analytical methods for the determination of the geographic origin of Emmental cheese: volatile compounds by GC–MS–FID and electronic nose. European Food Research and Technology 216 179183CrossRefGoogle Scholar
Prache, S 2007 Developing a diet authentication system from the composition of milk and meat in sheep: a review. Journal of Agricultural Science 145 435444CrossRefGoogle Scholar
Prache, S, Cornu, A, Berdaguè, JL & Priolo, A 2005 Traceability of animal feeding diet in the meat and milk of small ruminants. Small Ruminant Research 59 157168CrossRefGoogle Scholar
Shenk, JS & Westerhaus, MO 1996 Calibration the ISI way. In: Near Infrared Spectroscopy: The Future Waves. pp. 198202. NIR Publications, Chichester, UKGoogle Scholar
Smit, HJ, Taweel, HZ, Tas, BM, Tamminga, S & Elgersma, A 2005 Comparison of Techniques for Estimating Herbage Intake of Grazing Dairy Cows. Journal of Dairy Science 88 18271836CrossRefGoogle ScholarPubMed
Tornambé, G, Cornu, A, Pradel, P, Kondjoyan, N, Carnat, AP, Petit, M & Martin, B 2006 Changes in terpene content in milk from pasture-fed cows. Journal of Dairy Science 89 23092319CrossRefGoogle ScholarPubMed
Toso, B, Procida, G & Stefanon, B 2002 Determination of volatile compounds in cows' milk using headspace GC-MS. Journal of Dairy Research 69 569577CrossRefGoogle ScholarPubMed
Trihaas, J, Vognsen, L & Nielsen, PV 2005 Electronic Nose: new tool in modelling the ripening of Danish blue cheese. International Dairy Journal 15 679691CrossRefGoogle Scholar
Viallon, C, Verdier-Metz, I, Denoyer, C, Pradel, P, Coulon, JB & Berdagué, JL 1999 Desorbed terpenes and sesquiterpenes from forages and cheeses. Journal of Dairy Research 66 319326CrossRefGoogle Scholar
Viallon, C, Martin, B, Verdier-Metz, I, Pradel, P, Garel, JP, Coulon, JB & Berdagué, JL 2000 Transfer of monoterpenes and sesquiterpenes from forages into milk fat. Lait 80 635641Google Scholar
Yu, H, Wang, J & Xu, Y 2007 Identification of adulterated milk using Electronic Nose. Sensors and Materials 19 275285Google Scholar