Hostname: page-component-8448b6f56d-c47g7 Total loading time: 0 Render date: 2024-04-20T05:12:46.961Z Has data issue: false hasContentIssue false
  • English
  • Français

Detection of cow milk in donkey milk by chemometric procedures on triacylglycerol stereospecific analysis results

Published online by Cambridge University Press:  21 July 2011

Lina Cossignani ,
Francesca Blasi ,
Ancilla Bosi ,
Gilda D'Arco ,
Silvia Maurelli ,
Maria Stella Simonetti  and
Pietro Damiani
Lina Cossignani
Affiliation:
Dipartimento di Scienze Economico-Estimative e degli Alimenti, Sezione di Chimica Bromatologica, Biochimica, Fisiologia e Nutrizione, Università degli Studi di Perugia, Via San Costanzo, 06126, Perugia, Italy
Francesca Blasi
Affiliation:
Dipartimento di Scienze Economico-Estimative e degli Alimenti, Sezione di Chimica Bromatologica, Biochimica, Fisiologia e Nutrizione, Università degli Studi di Perugia, Via San Costanzo, 06126, Perugia, Italy
Ancilla Bosi
Affiliation:
Dipartimento di Scienze Economico-Estimative e degli Alimenti, Sezione di Chimica Bromatologica, Biochimica, Fisiologia e Nutrizione, Università degli Studi di Perugia, Via San Costanzo, 06126, Perugia, Italy
Gilda D'Arco
Affiliation:
Dipartimento di Scienze Economico-Estimative e degli Alimenti, Sezione di Chimica Bromatologica, Biochimica, Fisiologia e Nutrizione, Università degli Studi di Perugia, Via San Costanzo, 06126, Perugia, Italy
Silvia Maurelli
Affiliation:
Dipartimento di Scienze Economico-Estimative e degli Alimenti, Sezione di Chimica Bromatologica, Biochimica, Fisiologia e Nutrizione, Università degli Studi di Perugia, Via San Costanzo, 06126, Perugia, Italy
Maria Stella Simonetti
Affiliation:
Dipartimento di Scienze Economico-Estimative e degli Alimenti, Sezione di Chimica Bromatologica, Biochimica, Fisiologia e Nutrizione, Università degli Studi di Perugia, Via San Costanzo, 06126, Perugia, Italy
Pietro Damiani*
Affiliation:
Dipartimento di Scienze Economico-Estimative e degli Alimenti, Sezione di Chimica Bromatologica, Biochimica, Fisiologia e Nutrizione, Università degli Studi di Perugia, Via San Costanzo, 06126, Perugia, Italy
*
*For correspondence; e-mail: chimbrom@unipg.it; coslina@unipg.it
Get access Rights & Permissions [Opens in a new window]

Abstract

Stereospecific analysis is an important tool for the characterization of lipid fraction of food matrices, and also of milk samples. The results of a chemical-enzymatic-chromatographic analytical method were elaborated by chemometric procedures such as linear discriminant analysis (LDA) and artificial neural network (ANN). According to the total composition and intrapositional fatty acid distribution in the triacylglycerol (TAG) backbone, the obtained results were able to characterize pure milk samples and milk mixtures with 1, 3, 5% cow milk added to donkey milk. The resulting score was very satisfactory. Totally correct classified samples were obtained when the TAG stereospecific results of all the considered milk mixtures (donkey-cow) were elaborated by LDA and ANN chemometric procedures.

Keywords

Donkey milkcow milktriacylglycerol stereospecific analysislinear discriminant analysisartificial neural network
Type
Research Article
Information
Journal of Dairy Research , Volume 78 , Issue 3 , August 2011 , pp. 335 - 342
Copyright
Copyright © Proprietors of Journal of Dairy Research 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Andreotti, G, Trivellone, E, Lamanna, R, Di Luccia, A & Motta, A 2000 Milk identification of different species: 13C-NMR spectroscopy of triacylglycerols from cows and buffaloes’ milks. Journal of Dairy Science 83 2432–2437CrossRefGoogle ScholarPubMed
Arvanitoyannis, IS, Katsota, MN, Psarra, EP, Soufleros, EH & Kallithraka, S 1999 Application of quality control methods for assessing wine authenticity: Use of multivariate analysis (chemometrics). Trends in Food Science and Technology 10 321–336CrossRefGoogle Scholar
Blasi, F, Montesano, D, De Angelis, M, Maurizi, A, Ventura, F, Cossignani, L, Simonetti, MS & Damiani, P 2008 Results of stereospecific analysis of triacylglycerol fraction from donkey, cow, ewe, goat and buffalo milk. Journal of Food Composition and Analysis 21 1–7CrossRefGoogle Scholar
Bottero, MT, Civera, T, Numera, D, Rosati, S, Sacchi, P & Turi, RM 2003 A multiplex polymerase chain reaction for the identification of cows’, goats’ and sheep's milk in dairy products. International Dairy Journal 13 277–282CrossRefGoogle Scholar
Brescia, MA, Mazzilli, V, Sgaramella, A, Ghelli, S, Fanizzi, FP & Sacco, A 2004 1H NMR characterization of milk lipids: A comparison between cow and buffalo milk. Journal of the American Oil Chemists’ Society 81 431–436CrossRefGoogle Scholar
Businco, L, Giampietro, PG, Lucenti, P, Lucaroni, F, Pini, C, Di Felice, G, Iacovacci, P, Curadi, C & Orlandi, M 2000 Allergenicity of mare's milk in children with cow's milk allergy. Journal of Allergy and Clinical Immunology 105 1031–1034CrossRefGoogle ScholarPubMed
Chianese, L, Laezza, P, Smaldone, LA, Stingo, C, Del Giovine, L & Addeo, F 1990 Evaluation of bovine milk in the buffalo mozzarella cheese by two-dimensional electrophoresis. Scienza e Tecnica Lattiero-Casearia 41 315–326Google Scholar
Christie, WW 2003. Lipid Analysis, third ed.The Oily Press, BridgwaterGoogle Scholar
Cocchi, M, Durante, C, Marchetti, A, Armanino, C & Casale, M 2007 Characterization and discrimination of different aged ‘Aceto Balsamico Tradizionale di Modena’ products by head space mass spectrometry and chemometrics. Analytica Chimica Acta 589 96–104CrossRefGoogle ScholarPubMed
Commission Regulation 1992 Reference method for the detection of cows’ milk casein in ewes’ milk cheese EEC no 690/92 of 19 March 1992. Official Journal of the European Communities L74 23–32Google Scholar
Commission Regulation 1996 Reference method for the detection of cows’ milk and caseinate in cheeses from ewes’ milk, goats’ milk and buffaloes’ milk or mixtures of ewes’, goats’ and buffaloes’ milk EC no 1081/96 of 14 June 1996. Official Journal of the European Communities L142 15–25Google Scholar
Commission Regulation 2001 Reference method for the detection of cows’ milk and caseinate in cheeses from ewes’ milk, goats’ milk and buffaloes’ milk or mixtures of ewes’, goats’ and buffaloes’ milk EC no 213/2001 of 9 January 2001. Official Journal of the European Communities L37 51–60Google Scholar
Damiani, P, Cossignani, L, Simonetti, MS, Campisi, B, Favretto, L & Gabrielli Favretto, L 1997 Stereospecific analysis of the triacylglycerol fraction and linear discriminant analysis in a climatic differentiation of Umbrian extra-virgin olive oils. Journal of Chromatography A 758 109–116CrossRefGoogle Scholar
De Noni, I, Tirelli, A & Masotti, F 1996 Detection of cows’ milk in non-bovine cheese by HPLC of whey protein: Application to goat milk cheese. Scienza e Tecnica Lattiero-Casearia 47 7–17Google Scholar
Ferriera, IMPLVO & Caçote, H 2003 Detection and quantification of bovine, ovine and caprine milk percentages in protected denomination of origin cheeses by reversed-phase high-performance liquid chromatography of beta-lactoglobulins. Journal of Chromatography A 1015 111–118CrossRefGoogle Scholar
Fisher, RA 1936 The use of multiple measurements in taxonomic problems. Annals of Eugenics 7 179–188CrossRefGoogle Scholar
Fresno, JM, Prieto, B, Urdiales, R, Sarmiento, RM & Carballo, J 1995 Mineral content of some Spanish cheese varieties. Differentiation by source of milk and by variety from their content of main and trace elements. Journal of Science Food Agricultural 69 339–345CrossRefGoogle Scholar
Goudjil, H, Fontecha, J, Fraga, J & Juáreza, M 2003 TAG composition of ewe's milk fat Detection of foreign fats. Journal of the American Oil Chemists’ Society 80 219–222CrossRefGoogle Scholar
Guo, HY, Pang, K, Zhang, XY, Zhao, L, Chen, S, Dong, ML & Ren, FZ 2007 Composition, physiochemical properties, nitrogen fraction distribution, and amino acid profile of donkey milk. Journal of Dairy Science 90 1635–1643CrossRefGoogle ScholarPubMed
Haza, AI, Morales, P, Martín, R, García, T, Anguita, G, González, I, Sanz, B & Hernández, PE 1995 Immunoreactivity of goats'milk casein fractionated by ion exchange chromatography. Journal of Agriculture and Food Chemistry 43 2025–2029CrossRefGoogle Scholar
Hurley, IP, Ireland, HE, Coleman, RC & Williams, JHH 2004 Application of immunological methods for the detection of species adulteration in dairy products. International Journal of Food Science and Technology 39 873–878CrossRefGoogle Scholar
Karoui, R, De Baerdemaeker, J & Dufour, E 2008 A comparison and joint use of mid infrared and fluorescence spectroscopic methods for differentiating between manufacturing processes and sampling zones of ripened soft cheeses. European Food Research and Technology 226 861–870CrossRefGoogle Scholar
Lachenbruch, PA 1979 Discriminant analysis, Hafner Pree, New YorkGoogle Scholar
Leotta, R 2004 Use of linear discriminant analysis to characterise three dairy cattle breeds on the basis of several milk characteristics. Italian Journal of Animal Science 3 377–383CrossRefGoogle Scholar
López-Calleja, I, González, I, Fajardo, V, Martín, I, Hernández, PE, García, T & Martín, R 2007 Real-time TaqMan PCR for quantitative detection of cows’ milk in ewes’ milk mixtures. International Dairy Journal 17 729–736CrossRefGoogle Scholar
Mayer, HK 2005 Milk species identification in cheese varieties using electrophoretic, chromatographic and PCR techniques. International Dairy Journal 15 595–604CrossRefGoogle Scholar
Moio, L, Sasso, ML, Chianese, L & Addeo, F 1990 Rapid detection of bovine milk in ovine, caprine and water buffalo milk or cheese by gel isoelectric focusing on phastsystem. Italian Journal of Food Science 3 185–190Google Scholar
Molina, E, Martín-Álvarez, PJ & Mercedes, R 1999 Analysis of cows', ewes' and goats' milk mixtures by capillary electrophoresis: quantification by multivariate regression analysis. International Dairy Journal 9 99–105CrossRefGoogle Scholar
Monti, G, Bertino, E, Muratore, MC, Coscia, A, Cresi, F, Silvestro, L, Fabris, C, Fortunato, D, Giuffrida, MG & Conti, A 2007 Efficacy of donkey's milk in treating highly problematic cow's milk allergic children: an in vivo and in vitro study. Pediatric Allergy and Immunology 18 258–264CrossRefGoogle ScholarPubMed
Ni, H & Gunasekeran, S 1998 Food quality prediction with neural networks. Food Technology 52 60–65Google Scholar
Parodi, PW 1983 Positional distribution of fatty acids in the triglyceride classes of milk fat. Journal of Dairy Research 49 73–80CrossRefGoogle Scholar
Ramos, M & Juráez, M 1986 Chromatographic, electrophoretic and immunological methods for detecting mixtures of milk from different species. Bulletin International of Dairy Federation 202 175–190Google Scholar
Ritcher, W, Krause, I, Graf, C, Sperrer, I, Schwarza, C & Klostermeyer, H 1997 An indirect competitive ELISA for the detection of cows’ milk and caseinate in goat's and ewes’ milk and cheese using polyclonal antibodies against bovine γ-caseins. Zeitschrift für Lebensmittel-Untersuchung und-Forschung 204 21–26Google Scholar
Rodriguez, EMR, Alaejos, MS & Romero, CD 1999 Chemometric studies of several minerals in milks. Journal of Agricultural and Food Chemistry 47 1520–1524CrossRefGoogle Scholar
Rodriguez-Nogales, JM 2006 Approach to the quantification of milk mixtures by partial least-squares, principal component and multiple linear regression techniques. Food Chemistry 98 782–789CrossRefGoogle Scholar
Zupan, J & Gasteiger, J 1993 Neural networks for chemist: an introduction, VCH-Verlagsgesellschaft, WeinheimGoogle Scholar