Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-28T01:24:42.375Z Has data issue: false hasContentIssue false
  • English
  • Français

Rapid discrimination between buffalo and cow milk and detection of adulteration of buffalo milk with cow milk using synchronous fluorescence spectroscopy in combination with multivariate methods

Published online by Cambridge University Press:  22 March 2017

Serap Durakli Velioglu ,
Elif Ercioglu  and
Ismail Hakki Boyaci
Serap Durakli Velioglu*
Affiliation:
Department of Food Engineering, Faculty of Agriculture, Namik Kemal University, 59030 Tekirdag, Turkey
Elif Ercioglu
Affiliation:
Department of Food Engineering, Faculty of Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey
Ismail Hakki Boyaci
Affiliation:
Department of Food Engineering, Faculty of Engineering, Hacettepe University, Beytepe, 06800 Ankara, Turkey
*
*For correspondence; e-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

This research paper describes the potential of synchronous fluorescence (SF) spectroscopy for authentication of buffalo milk, a favourable raw material in the production of some premium dairy products. Buffalo milk is subjected to fraudulent activities like many other high priced foodstuffs. The current methods widely used for the detection of adulteration of buffalo milk have various disadvantages making them unattractive for routine analysis. Thus, the aim of the present study was to assess the potential of SF spectroscopy in combination with multivariate methods for rapid discrimination between buffalo and cow milk and detection of the adulteration of buffalo milk with cow milk. SF spectra of cow and buffalo milk samples were recorded between 400–550 nm excitation range with Δλ of 10–100 nm, in steps of 10 nm. The data obtained for ∆λ = 10 nm were utilised to classify the samples using principal component analysis (PCA), and detect the adulteration level of buffalo milk with cow milk using partial least square (PLS) methods. Successful discrimination of samples and detection of adulteration of buffalo milk with limit of detection value (LOD) of 6% are achieved with the models having root mean square error of calibration (RMSEC) and the root mean square error of cross-validation (RMSECV) and root mean square error of prediction (RMSEP) values of 2, 7, and 4%, respectively. The results reveal the potential of SF spectroscopy for rapid authentication of buffalo milk.

Keywords

Buffalo milkcow milkauthenticitysynchronous fluorescence spectroscopy
Type
Research Article
Information
Journal of Dairy Research , Volume 84 , Issue 2 , May 2017 , pp. 214 - 219
Copyright
Copyright © Proprietors of Journal of Dairy Research 2017 

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

Agrimonti, C, Pirondini, A, Marmiroli, M & Marmiroli, N 2015 A quadruplex PCR (qxPCR) assay for adulteration in dairy products. Food Chemistry 187 58–64 CrossRefGoogle ScholarPubMed
Becker, EM, Christensen, J, Frederiksen, CS & Haugaard, VK 2003 Front-face fluorescence spectroscopy and chemometrics in analysis of yogurt: rapid analysis of riboflavin. Journal of Dairy Science 86 2508–2515 Google Scholar
Blecker, C, Habib-Jiwan, JM & Karoui, R 2012 Effect of heat treatment of rennet skim milk induced coagulation on the rheological properties and molecular structure determined by synchronous fluorescence spectroscopy and turbiscan. Food Chemistry 135 1809–1817 Google Scholar
Boyaci, IH, Temiz, HT, Genis, HE, Soykut, EA, Yazgan, NN, Guven, B, Uysal, RS, Bozkurt, AG, Ilaslan, K, Torun, O & Seker, FCD 2015 Dispersive and FT-Raman spectroscopic methods in food analysis. Rsc Advances 5 56606–56624 Google Scholar
British Standards Institution 1955 Gerber Method for the Determination of Fat in Milk and Milk Products. London: British Standards Institution Google Scholar
Czerwenka, C, Muller, L & Lindner, W 2010 Detection of the adulteration of water buffalo milk and mozzarella with cow's milk by liquid chromatography-mass spectrometry analysis of beta-lactoglobulin variants. Food Chemistry 122 901–908 Google Scholar
Dankowska, A, Malecka, M & Kowalewski, W 2014 Application of synchronous fluorescence spectroscopy with multivariate data analysis for determination of butter adulteration. International Journal of Food Science and Technology 49 2628–2634 Google Scholar
Dankowska, A, Maecka, M & Kowalewski, W 2015 Detection of plant oil addition to cheese by synchronous fluorescence spectroscopy. Dairy Science and Technology 95 413–424 Google Scholar
Enne, G, Elez, D, Fondrini, F, Bonizzi, I, Feligini, M & Aleandri, R 2005 High-performance liquid chromatography of governing liquid to detect illegal bovine milk's addition in water buffalo Mozzarella: comparison with results from raw milk and cheese matrix. Journal of Chromatography A 1094 169–174 Google Scholar
Fuselli, F, Deluca, A, Montepeloso, EA, Ibba, G, Tidona, F, Longo, L & Marianella, RM 2015 Detection of fraudulent addition of bovine whey in water buffalo ricotta cheese by isoelectric focusing. Journal of the Science of Food and Agriculture 95 2757–2762 Google Scholar
Hammami, M, Rouissi, H, Salah, N, Selmi, H, Al-Otaibi, M, Blecker, C & Karoui, R 2010 Fluorescence spectroscopy coupled with factorial discriminant analysis technique to identify sheep milk from different feeding systems. Food Chemistry 122 1344–1350 Google Scholar
Hubert, P, Nguyen-Huu, JJ, Boulanger, B, Chapuzet, E, Chiap, P, Cohen, N, Compagnon, PA, Dewe, W, Feinberg, M, Lallier, M, Laurentie, M, Mercier, N, Muzard, G, Nivet, C, Valat, L & Rozet, E 2007 Harmonization of strategies for the validation of quantitative analytical procedures – A SFSTP proposal – Part II. Journal of Pharmaceutical and Biomedical Analysis 45 70–81 Google Scholar
Hurley, IP, Coleman, RC, Ireland, HE & Williams, JHH 2004 Measurement of bovine IgG by indirect competitive ELISA as a means of detecting milk adulteration. Journal of Dairy Science 87 543–549 CrossRefGoogle ScholarPubMed
IDF 2002 Milk and Milk Products: Determination of Nitrogen Content : Routine Method Using Combustion According to the Dumas Principle. International Dairy Federation, Geneva, Switzerland Google Scholar
IDF 2014 The World Dairy Situation 2014, pp. 1–230, International Dairy Federation, Brussels, Belgium Google Scholar
Karoui, R, Martin, B & Dufour, E 2005 Potentiality of front-face fluorescence spectroscopy to determine the geographic origin of milks from the Haute-Loire department (France). Lait 85 223–236 Google Scholar
Kennard, RW & Stone, LA 1969 Computer aided design of experiments. Technometrics 11 137–148 Google Scholar
Liu, H, Han, DH & Wang, SP 2014 Potentiality of synchronous fluorescence technology for determination of reconstituted milk adulteration in fresh milk. Spectroscopy and Spectral Analysis 34 2685–2689 Google Scholar
Patra, D & Mishra, AK 2002 Recent developments in multi-component synchronous fluorescence scan analysis. Trends in Analytical Chemistry 21 787–798 CrossRefGoogle Scholar
Sadecka, J & Tothova, J 2007 Fluorescence spectroscopy and chemometrics in the food classification – a review. Czech Journal of Food Sciences 25 159–173 Google Scholar
Sikorska, E, Gorecki, T, IV, K, Sikorski, M & Koziol, J 2005 Classification of edible oils using synchronous scanning fluorescence spectroscopy. Food Chemistry 89 217–225 CrossRefGoogle Scholar
Thomas, CS 2008 Efficient Dairy Buffalo Production. Sweden: DeLaval Google Scholar
Zaidi, F, Rouissi, H, Dridi, S, Kammoun, M, De Baerdemaeker, J & Karoui, R 2008 Front-face fluorescence spectroscopy as a rapid and non-destructive tool for differentiating between sicilo-sarde and comisana Ewe's milk during lactation period: a preliminary study. Food and Bioprocess Technology 1 143–151 CrossRefGoogle Scholar
Supplementary material: File

Durakli Velioglu supplementary material

Durakli Velioglu supplementary material

Download Durakli Velioglu supplementary material(File)
File 364.8 KB