Analytical methods used for the authentication of food of animal origin.

Since adulteration can have serious consequences on human health, it affects market growth by destroying consumer confidence. Therefore, authentication of food is important for food processors, retailers and consumers, but also for regulatory authorities. However, a complex nature of food and an increase in types of adulterants make their detection difficult, so that food authentication often poses a challenge. This review focuses on analytical approaches to authentication of food of animal origin, with an emphasis put on determination of specific ingredients, geographical origin and adulteration by virtue of substitution. This review highlights a current overview of the application of target approaches in cases when the compound of interest is known and non-target approaches for screening issues. Papers cited herein mainly concern milk, cheese, meat and honey. Moreover, advantages, disadvantages as well as challenges regarding the use of both approaches in official food control but also in food industry are investigated.

[1]  Werner Luginbühl,et al.  Authentication of the botanical and geographical origin of honey by mid-infrared spectroscopy. , 2006, Journal of agricultural and food chemistry.

[2]  Enrique Sentandreu,et al.  Authenticity of meat products: Tools against fraud , 2014 .

[3]  J. M. Jurado,et al.  Subcutaneous fat triacylglycerols profile from Iberian pigs as a tool to differentiate between intensive and extensive fattening systems. , 2012, Journal of agricultural and food chemistry.

[4]  Thomas W Vickroy,et al.  Fast differentiation of meats from fifteen animal species by liquid chromatography with electrochemical detection using copper nanoparticle plated electrodes. , 2007, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

[5]  S. Mammi,et al.  1H nuclear magnetic resonance spectra of chloroform extracts of honey for chemometric determination of its botanical origin. , 2010, Journal of agricultural and food chemistry.

[6]  Xin Fang,et al.  Detection of adulterated murine components in meat products by TaqMan© real-time PCR. , 2016, Food chemistry.

[7]  Zhihua Ye,et al.  Tracing the geographic origin of beef in China on the basis of the combination of stable isotopes and multielement analysis. , 2013, Journal of agricultural and food chemistry.

[8]  Junling Shi,et al.  Stable isotope analysis of cattle tail hair: a potential tool for verifying the geographical origin of beef. , 2013, Food chemistry.

[9]  E. Rencová,et al.  Identification by ELISA of poultry, horse, kangaroo, and rat muscle specific proteins in heat-processed products. , 2000 .

[10]  M. Montowska,et al.  Differences in two-dimensional gel electrophoresis patterns of skeletal muscle myosin light chain isoforms between Bos taurus, Sus scrofa and selected poultry species. , 2011, Journal of the science of food and agriculture.

[11]  Du Bing,et al.  Recent advancements in detecting sugar-based adulterants in honey – A challenge , 2017 .

[12]  Moon S. Kim,et al.  Detection of melamine in milk powders based on NIR hyperspectral imaging and spectral similarity analyses , 2014 .

[13]  J. Irudayaraj,et al.  Floral classification of honey using mid-infrared spectroscopy and surface acoustic wave based z-Nose Sensor. , 2005, Journal of agricultural and food chemistry.

[14]  E. Pereira-Filho,et al.  Recent advances on determination of milk adulterants. , 2017, Food chemistry.

[15]  José Manuel Amigo,et al.  Identification and quantification of turkey meat adulteration in fresh, frozen-thawed and cooked minced beef by FT-NIR spectroscopy and chemometrics. , 2016, Meat science.

[16]  Fang Chen,et al.  Determination of Chinese honey adulterated with high fructose corn syrup by near infrared spectroscopy , 2011 .

[17]  R. Pérez-Martín,et al.  Use of restriction fragment length polymorphism to distinguish between salmon species. , 2000, Journal of agricultural and food chemistry.

[18]  S. Kelly,et al.  Comparison of mineral concentrations in commercially grown organic and conventional crops – Tomatoes (Lycopersicon esculentum) and lettuces (Lactuca sativa) , 2010 .

[19]  S. De,et al.  Simplex and duplex PCR assays for species specific identification of cattle and buffalo milk and cheese , 2011 .

[20]  A. Trocino,et al.  Assessing the quality of organic and conventionally-farmed European sea bass (Dicentrarchus labrax) , 2012 .

[21]  Alain Maquet,et al.  Review on metabolomics for food authentication , 2014 .

[22]  S. Kelly 7 – Using stable isotope ratio mass spectrometry (IRMS) in food authentication and traceability , 2003 .

[23]  Hasan Murat Velioglu,et al.  Identification of meat species by using laser-induced breakdown spectroscopy. , 2016, Meat science.

[24]  A. Moussavi,et al.  Fraud identification in industrial meat products by multiplex PCR assay. , 2009 .

[25]  E. K. Kemsley,et al.  Mid-infrared spectroscopy and chemometrics for the authentication of meat products. , 1999, Journal of agricultural and food chemistry.

[26]  Sheikh Shreaz,et al.  Recent advances in the identification and authentication methods of edible bird's nest. , 2017, Food research international.

[27]  Beata Walczak,et al.  Tracing the geographical origin of honeys based on volatile compounds profiles assessment using pattern recognition techniques , 2010 .

[28]  A. K. Seckin,et al.  Real-time PCR is a potential tool to determine the origin of milk used in cheese production , 2017 .

[29]  S Sasazaki,et al.  Development of breed identification markers derived from AFLP in beef cattle. , 2004, Meat science.

[30]  E. Ibáñez,et al.  New Analytical Techniques in Food Science , 2001, Critical reviews in food science and nutrition.

[31]  J. Rodríguez,et al.  Determination of soybean proteins in commercial heat-processed meat products prepared with chicken, beef or complex mixtures of meats from different species , 2007 .

[32]  Einar Etzold,et al.  Determination of the botanical origin of honey by Fourier-transformed infrared spectroscopy: an approach for routine analysis , 2008 .

[33]  Zhuoyong Zhang,et al.  Detection of adulterants such as sweeteners materials in honey using near-infrared spectroscopy and chemometrics , 2010 .

[34]  M. Díaz-Maroto,et al.  Differentiation of monofloral citrus, rosemary, eucalyptus, lavender, thyme and heather honeys based on volatile composition and sensory descriptive analysis , 2009 .

[35]  A. Charlton,et al.  Quantitative NMR spectroscopy for the rapid measurement of methylglyoxal in manuka honey , 2010 .

[36]  Royston Goodacre,et al.  Rapid identification of closely related muscle foods by vibrational spectroscopy and machine learning. , 2005, The Analyst.

[37]  P. G. D. Pinho,et al.  Carotenoid profile in grapes related to aromatic compounds in wines from Douro Region , 2006 .

[38]  Mansour Samadpour,et al.  A rapid, semi-quantitative test for detection of raw and cooked horse meat residues , 2017 .

[39]  Lihua Liu,et al.  Sensitive Monoclonal Antibody-based Sandwich ELISA for the Detection of Porcine Skeletal Muscle in Meat and Feed Products , 2006 .

[40]  W. Lindner,et al.  Detection of the adulteration of water buffalo milk and mozzarella with cow’s milk by liquid chromatography–mass spectrometry analysis of β-lactoglobulin variants , 2010 .

[41]  Jing Zhao,et al.  Classification of Chinese honeys according to their floral origin by near infrared spectroscopy. , 2012, Food chemistry.

[42]  Josse De Baerdemaeker,et al.  Utilisation of mid-infrared spectroscopy for determination of the geographic origin of Gruyère PDO and L'Etivaz PDO Swiss cheeses , 2007 .

[43]  G. Osorio-Revilla,et al.  Application of FTIR-HATR spectroscopy and multivariate analysis to the quantification of adulterants in Mexican honeys. , 2009 .

[44]  Gamal ElMasry,et al.  Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging , 2011 .

[45]  H. Ireland,et al.  Measurement of bovine IgG by indirect competitive ELISA as a means of detecting milk adulteration. , 2004, Journal of dairy science.

[46]  Ching-Lu Hsieh,et al.  Quantization of Adulteration Ratio of Raw Cow Milk by Least Squares Support Vector Machines (LS-SVM) and Visible/Near Infrared Spectroscopy , 2011, EANN/AIAI.

[47]  E. Detmann,et al.  Rapid detection of whey in milk powder samples by spectrophotometric and multivariate calibration. , 2015, Food chemistry.

[48]  L. Brennan,et al.  Authentication of beef production systems using a metabolomic-based approach. , 2012, Animal : an international journal of animal bioscience.

[49]  S. Primrose,et al.  Food forensics: methods for determining the authenticity of foodstuffs , 2010 .

[50]  A. Charlton,et al.  Identification of botanical biomarkers found in Corsican honey , 2010 .

[51]  Gerard Downey,et al.  Detection of Honey Adulteration by Addition of Fructose and Glucose Using near Infrared Transflectance Spectroscopy , 2003 .

[52]  T. Ku,et al.  Qualitative and quantitative identification of adulteration of milk powder using DNA extracted with a novel method. , 2017, Journal of dairy science.

[53]  M. Shimokomaki,et al.  Textured Soy Protein Quantification in Commercial Hamburger , 2001 .

[54]  Umile Gianfranco Spizzirri,et al.  Food Safety: Innovative Analytical Tools for Safety Assessment , 2016 .

[55]  S. Lanteri,et al.  Detection of minced beef adulteration with turkey meat by UV-vis, NIR and MIR spectroscopy , 2013 .

[56]  R. Consonni,et al.  Geographical characterization of polyfloral and acacia honeys by nuclear magnetic resonance and chemometrics. , 2008, Journal of agricultural and food chemistry.

[57]  H. Rehbein,et al.  Application of PCR-SSCP to Species Identification of Fishery Products , 1997 .

[58]  Qiang Ma,et al.  Qualitative and quantitative detection of honey adulterated with high-fructose corn syrup and maltose syrup by using near-infrared spectroscopy. , 2017, Food chemistry.

[59]  C. Perdomo,et al.  Determination of high fructose corn syrup concentration in Uruguayan honey by 13C analyses , 2016 .

[60]  I. Martinez,et al.  Species identification in meat products by RAPD analysis , 1998 .

[61]  Wen Wu,et al.  Classification of Floral Origins of Honey by NIR and Chemometrics , 2012 .

[62]  R. Romvári,et al.  NIR detection of honey adulteration reveals differences in water spectral pattern. , 2016, Food chemistry.

[63]  J. Renwick Beattie,et al.  Prediction of adipose tissue composition using raman spectroscopy: Average properties and individual fatty acids , 2006, Lipids.

[64]  C. Neusüss,et al.  A sensitive HPLC-MS/MS screening method for the simultaneous detection of lupine, pea, and soy proteins in meat products , 2017 .

[65]  C. McGoverin,et al.  Rapid, sensitive, and reproducible screening of liquid milk for adulterants using a portable Raman spectrometer and a simple, optimized sample well. , 2016, Journal of dairy science.

[66]  Pierantonio Facco,et al.  Near-infrared spectroscopy to assist authentication and labeling of Asiago d’allevo cheese , 2012 .

[67]  Gerard Downey,et al.  Application of Fourier transform midinfrared spectroscopy to the discrimination between Irish artisanal honey and such honey adulterated with various sugar syrups. , 2006, Journal of agricultural and food chemistry.

[68]  M. T. Bottero,et al.  A multiplex PCR assay for the identification of animal species in feedstuffs. , 2004, Molecular and cellular probes.

[69]  Shengguo Zhao,et al.  Metabolomic biomarkers identify differences in milk produced by Holstein cows and other minor dairy animals. , 2016, Journal of proteomics.

[70]  P. Fraser,et al.  Metabolomic approach for the detection of mechanically recovered meat in food products , 2011 .

[71]  G. Downey,et al.  Recent technological advances for the determination of food authenticity , 2006 .

[72]  Carsten Fauhl-Hassek,et al.  Potential and limitations of non-targeted fingerprinting for authentication of food in official control , 2014 .

[73]  Kuwat Triyana,et al.  Analysis of lard in meatball broth using Fourier transform infrared spectroscopy and chemometrics. , 2014, Meat science.

[74]  Colm O'Donnell,et al.  Multivariate Analysis of Attenuated Total Reflection—Fourier Transform Infrared Spectroscopic Data to Confirm the Origin of Honeys , 2008, Applied spectroscopy.

[75]  Y. B. Che Man,et al.  Identification of pork derivatives in food products by species-specific polymerase chain reaction (PCR) for halal verification , 2007 .

[76]  Jiewen Zhao,et al.  Determination of rice syrup adulterant concentration in honey using three-dimensional fluorescence spectra and multivariate calibrations. , 2014, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[77]  D. Capitani,et al.  NMR metabolic profiling of organic and aqueous sea bass extracts: implications in the discrimination of wild and cultured sea bass. , 2008, Talanta.

[78]  S. Jha,et al.  Detection and quantification of soymilk in cow-buffalo milk using Attenuated Total Reflectance Fourier Transform Infrared spectroscopy (ATR-FTIR). , 2015, Food chemistry.

[79]  Christian W. Huck,et al.  Methods for detection of pork adulteration in veal product based on FT-NIR spectroscopy for laboratory, industrial and on-site analysis , 2015 .

[80]  Antonio Sacco,et al.  Discrimination between Southern Italy and foreign milk samples using spectroscopic and analytical data , 2009 .

[81]  L. Domingues,et al.  RAPD and SCAR markers as potential tools for detection of milk origin in dairy products: Adulterant sheep breeds in Serra da Estrela cheese production. , 2016, Food Chemistry.

[82]  N. Z. Ballin Authentication of meat and meat products. , 2010, Meat science.

[83]  S. Mariani,et al.  Current methods for seafood authenticity testing in Europe : is there a need for harmonisation? , 2014 .

[84]  Marcelo M Sena,et al.  Detection and characterisation of frauds in bovine meat in natura by non-meat ingredient additions using data fusion of chemical parameters and ATR-FTIR spectroscopy. , 2016, Food chemistry.

[85]  S. Kelly,et al.  Verifying the geographical origin of beef: The application of multi-element isotope and trace element analysis , 2008 .

[86]  Havva Tümay Temiz,et al.  A novel method for discrimination of beef and horsemeat using Raman spectroscopy. , 2014, Food chemistry.

[87]  E. Piasentier,et al.  Effect of origin, breeding and processing conditions on the isotope ratios of bioelements in dry-cured ham. , 2013, Food chemistry.

[88]  Brian J. Marquardt,et al.  Raman analysis of fish: a potential method for rapid quality screening , 2004 .

[89]  Kwang-Sik Lee,et al.  Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics. , 2010, Journal of agricultural and food chemistry.

[90]  Jana Hajslova,et al.  Traceability of honey origin based on volatiles pattern processing by artificial neural networks. , 2009, Journal of chromatography. A.

[91]  Erkan Mozioğlu,et al.  Comparison of DNA extraction methods for meat analysis. , 2017, Food chemistry.

[92]  A. S. Rohman,et al.  Analysis of pork adulteration in beef meatball using Fourier transform infrared (FTIR) spectroscopy. , 2011, Meat science.

[93]  M. A. Rios-Corripio,et al.  Analysis of adulteration in honey with standard sugar solutions and syrups using attenuated total reflectance-Fourier transform infrared spectroscopy and multivariate methods , 2012 .

[94]  M. C. Seijo,et al.  Near infrared spectroscopy applied to the rapid prediction of the floral origin and mineral content of honeys. , 2015, Food chemistry.

[95]  M. A. Vélez,et al.  Adulteration of Argentinean milk fats with animal fats: Detection by fatty acids analysis and multivariate regression techniques. , 2016, Food chemistry.

[96]  R. Goodacre,et al.  © American Dairy Science Association ® , 2010. Fourier transform infrared spectroscopy and multivariate analysis for the detection and quantification of different milk species , 2010 .

[97]  Vincent Baeten,et al.  Discrimination of Corsican honey by FT-Raman spectroscopy and chemometrics , 2011 .

[98]  E. Carrera,et al.  Indirect enzyme-linked immunosorbent assay for the identification of sole (Solea solea), European plaice (Pleuronectes platessa), flounder (Platichthys flesus), and Greenland halibut (Reinhardtius hippoglossoides). , 1999, Journal of food protection.

[99]  J. Irudayaraj,et al.  Quantification of Saccharides in Multiple Floral Honeys Using Fourier Transform Infrared Microattenuated Total Reflectance Spectroscopy , 2004 .

[100]  R. Stones,et al.  Screening method for the addition of bovine blood-based binding agents to food using liquid chromatography triple quadrupole mass spectrometry. , 2007, Rapid communications in mass spectrometry : RCM.

[101]  R. Rodríguez-Ramirez,et al.  Capillary electrophoresis for bovine and ostrich meat characterisation , 2010 .

[102]  R. Osta,et al.  Quantitative PCR detection of pork in raw and heated ground beef and pâté. , 2002, Journal of agricultural and food chemistry.

[103]  Davide Bertelli,et al.  Classification of Italian honeys by mid-infrared diffuse reflectance spectroscopy (DRIFTS) , 2007 .

[104]  P. Fraser,et al.  A proteomic-based approach for detection of chicken in meat mixes. , 2010, Journal of proteome research.

[105]  Julie Wilson,et al.  Analysis of complex mixtures using high-resolution nuclear magnetic resonance spectroscopy and chemometrics. , 2011, Progress in nuclear magnetic resonance spectroscopy.

[106]  R. Karoui,et al.  Fluorescence spectroscopy coupled with factorial discriminant analysis technique to identify sheep milk from different feeding systems , 2010 .

[107]  G. Downey,et al.  Near infrared spectral fingerprinting for confirmation of claimed PDO provenance of honey , 2009 .

[108]  S. Garrett,et al.  Fish species identification using PCR-RFLP analysis and lab-on-a-chip capillary electrophoresis: application to detect white fish species in food products and an interlaboratory study. , 2005, Journal of agricultural and food chemistry.

[109]  Bruno G Botelho,et al.  Development and analytical validation of a screening method for simultaneous detection of five adulterants in raw milk using mid-infrared spectroscopy and PLS-DA. , 2015, Food chemistry.

[110]  P. Pohl,et al.  Suitability of three-dimensional synchronous fluorescence spectroscopy for fingerprint analysis of honey samples with reference to their phenolic profiles. , 2014, Food chemistry.

[111]  T. Pizzolato,et al.  Detection and confirmation of milk adulteration with cheese whey using proteomic-like sample preparation and liquid chromatography-electrospray-tandem mass spectrometry analysis. , 2014, Talanta.

[112]  Rasmus Bro,et al.  Variable selection in regression—a tutorial , 2010 .

[113]  Prashant K. Sharma,et al.  A technique comes to life for security of life: the food contaminant sensors , 2017 .

[114]  A. Charlton,et al.  Application of cryoprobe 1H nuclear magnetic resonance spectroscopy and multivariate analysis for the verification of corsican honey. , 2008, Journal of agricultural and food chemistry.

[115]  Bert Popping,et al.  The application of biotechnological methods in authenticity testing. , 2002, Journal of biotechnology.

[116]  Yimin Wei,et al.  Classification of geographical origins and prediction of δ13C and δ15N values of lamb meat by near infrared reflectance spectroscopy. , 2012, Food chemistry.

[117]  Wan Jefrey Basirun,et al.  Identification of meat origin in food products–A review , 2016 .

[118]  Abdul Rohman,et al.  The employment of FTIR spectroscopy in combination with chemometrics for analysis of rat meat in meatball formulation. , 2015, Meat science.

[119]  Sharifuddin M. Zain,et al.  Milk authentication and discrimination via metal content clustering – A case of comparing milk from Malaysia and selected countries of the world , 2016 .

[120]  R. Stones,et al.  Method to screen for the addition of porcine blood-based binding products to foods using liquid chromatography/triple quadrupole mass spectrometry. , 2008, Rapid Communications in Mass Spectrometry.

[121]  Y. Man,et al.  Halal authenticity issues in meat and meat products. , 2012, Meat science.

[122]  Ding Hb,et al.  Near-infrared spectroscopic technique for detection of beef hamburger adulteration. , 2000 .

[123]  Joseph Maria Kumar Irudayaraj,et al.  Detection of inverted beet sugar adulteration of honey by FTIR spectroscopy , 2001 .

[124]  T. García,et al.  Determination of food authenticity by enzyme-linked immunosorbent assay (ELISA) , 2008 .

[125]  Alessandro Gori,et al.  Discrimination of grated cheeses by Fourier transform infrared spectroscopy coupled with chemometric techniques , 2012 .

[126]  I. Ferreira,et al.  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. , 2003, Journal of chromatography. A.

[127]  Yang Shan,et al.  Detection of honey adulteration by high fructose corn syrup and maltose syrup using Raman spectroscopy , 2012 .

[128]  Gerard Downey,et al.  Initial study of honey adulteration by sugar solutions using midinfrared (MIR) spectroscopy and chemometrics. , 2004, Journal of agricultural and food chemistry.

[129]  Syed Ghulam Musharraf,et al.  Application of analytical methods in authentication and adulteration of honey. , 2017, Food chemistry.

[130]  R. Consonni,et al.  Ripening and geographical characterization of Parmigiano Reggiano cheese by 1H NMR spectroscopy. , 2008, Talanta.

[131]  O. Fiehn,et al.  Advances in Mass Spectrometry for Food Authenticity Testing: An Omics Perspective , 2016 .

[132]  C. Stamatis,et al.  What do we think we eat? Single tracing method across foodstuff of animal origin found in Greek market , 2015 .

[133]  Arnaldo Dossena,et al.  Applications of liquid chromatography-mass spectrometry for food analysis. , 2012, Journal of chromatography. A.

[134]  Dora Melucci,et al.  The discrimination of honey origin using melissopalynology and Raman spectroscopy techniques coupled with multivariate analysis. , 2015, Food chemistry.

[135]  Ammar Zakaria,et al.  A Hybrid Sensing Approach for Pure and Adulterated Honey Classification , 2012, Sensors.

[136]  An NMR-based metabolomic approach to identify the botanical origin of honey , 2012, Metabolomics.

[137]  S. Ruth,et al.  An overview of analytical methods for determining the geographical origin of food products , 2008 .

[138]  A. Sabatini,et al.  Classification of Italian honeys by 2D HR-NMR. , 2008, Journal of agricultural and food chemistry.

[139]  Gerrit Polder,et al.  Detection of Honey Adulteration using Hyperspectral Imaging , 2016 .

[140]  Konstantinos A. Aliferis,et al.  Botanical discrimination and classification of honey samples applying gas chromatography/mass spectrometry fingerprinting of headspace volatile compounds. , 2010 .

[141]  H. J. Andersen,et al.  NMR and the water-holding issue of pork. , 2007, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

[142]  J. Tomaszewska-Gras Rapid quantitative determination of butter adulteration with palm oil using the DSC technique , 2016 .

[143]  Colm O'Donnell,et al.  Geographical classification of honey samples by near-infrared spectroscopy: a feasibility study. , 2007, Journal of agricultural and food chemistry.

[144]  O. G. Meza-Márquez,et al.  Application of mid-infrared spectroscopy with multivariate analysis and soft independent modeling of class analogies (SIMCA) for the detection of adulterants in minced beef. , 2010, Meat science.

[145]  F. Schwägele Traceability from a European perspective. , 2005, Meat science.

[146]  M. C. Ortiz,et al.  Analysis of protein chromatographic profiles joint to partial least squares to detect adulterations in milk mixtures and cheeses. , 2010, Talanta.

[147]  Mete Severcan,et al.  Differentiation of Anatolian honey samples from different botanical origins by ATR-FTIR spectroscopy using multivariate analysis. , 2015, Food chemistry.

[148]  Osman Sagdic,et al.  An evaluation of Fourier transforms infrared spectroscopy method for the classification and discrimination of bovine, porcine and fish gelatins. , 2016, Food chemistry.

[149]  J. Irudayaraj,et al.  Rapid Determination of Invert Cane Sugar Adulteration in Honey Using FTIR Spectroscopy and Multivariate Analysis , 2003 .

[150]  Luca Regazzoni,et al.  A solid-phase extraction procedure coupled to 1H NMR, with chemometric analysis, to seek reliable markers of the botanical origin of honey. , 2008, Analytica chimica acta.

[151]  Rapid characterization of dry cured ham produced following different PDOs by proton transfer reaction time of flight mass spectrometry (PTR-ToF-MS). , 2011, Talanta.

[152]  S. Engelsen,et al.  Metabolic profiling and aquaculture differentiation of gilthead sea bream by 1H NMR metabonomics. , 2010 .

[153]  Mercedes Careche,et al.  Raman spectroscopic study of structural changes in Hake (Merluccius merluccius L.) muscle proteins during frozen storage. , 2004, Journal of agricultural and food chemistry.