Authenticating common Australian beef production systems using Raman spectroscopy

Abstract Australian grain-fed and grass-fed beef products garner premium market prices and many beef processors market branded beef supported by production system claims. Given beef cattle nutrition alters the fatty acid composition of subcutaneous fat and grass and grain-fed cattle can be differentiated using Raman spectra of the fat, this study aimed to evaluate if Raman spectroscopy and chemometric modelling can differentiate grass fed cattle from a variety of production systems. To this end, subcutaneous fat from a total of 520 beef carcases with 130 from long term grain-fed, short term grain-fed, grass-fed and supplemented grass-fed beef cattle were measured. Classification of carcases using Partial Least Squares Discriminant Analysis (PLS-DA) demonstrated spectra were able to correctly classify long term grain-fed (96%), short term grain-fed (85%), grass-fed (83%) and supplemented grass-fed (83%) carcases based on the test dataset. Spectral patterns including peaks that characterise fatty acids have been shown to underpin this classification. Overall, this study demonstrates Raman spectroscopy is a useful tool for the authentication and discrimination of beef carcases from different production systems.

[1]  A. M. Peres,et al.  Raw bovine meat fatty acids profile as an origin discriminator. , 2008, Food chemistry.

[2]  Landulfo Silveira,et al.  Correlation between near‐infrared Raman spectroscopy and the histopathological analysis of atherosclerosis in human coronary arteries , 2002, Lasers in surgery and medicine.

[3]  M. Umadevi,et al.  Infrared and Raman spectral studies ofL-ornithine nitrate , 2003 .

[4]  Shangzhong Jin,et al.  The use of Raman spectroscopy in food processes: A review , 2016 .

[5]  L. Guan,et al.  Effect of age on bovine subcutaneous fat proteome: molecular mechanisms of physiological variations during beef cattle growth. , 2014, Journal of animal science.

[6]  S. Lonergan,et al.  Fat and fat cells in domestic animals , 2019, The Science of Animal Growth and Meat Technology.

[7]  Bingpo Zhang,et al.  Rapid prediction of fatty acid composition of vegetable oil by Raman spectroscopy coupled with least squares support vector machines , 2013 .

[8]  W. R. Windham,et al.  Effect of vitamin C addition to ground beef from grass-fed or grain-fed sources on color and lipid stability, and prediction of fatty acid composition by near-infrared reflectance analysis. , 2004, Meat science.

[9]  Yibin Ying,et al.  Applications of Raman Spectroscopy in Agricultural Products and Food Analysis: A Review , 2011 .

[10]  R. Dasari,et al.  Prospects for in vivo Raman spectroscopy , 2000 .

[11]  A. Ferlay,et al.  Performance of fluorescence spectroscopy for beef meat authentication: Effect of excitation mode and discriminant algorithms. , 2018, Meat science.

[12]  J. Premanandh.  Horse meat scandal – A wake-up call for regulatory authorities , 2013 .

[13]  A. Sinclair,et al.  Effect of feeding systems on omega-3 fatty acids, conjugated linoleic acid and trans fatty acids in Australian beef cuts: potential impact on human health. , 2006, Asia Pacific journal of clinical nutrition.

[14]  X Zhou,et al.  FTIR fiber optics and FT-Raman spectroscopic studies for the diagnosis of cancer. , 2000, American clinical laboratory.

[15]  Frans van den Berg,et al.  Prediction of total fatty acid parameters and individual fatty acids in pork backfat using Raman spectroscopy and chemometrics: Understanding the cage of covariance between highly correlated fat parameters. , 2016, Meat science.

[16]  C. Murali Krishna,et al.  Tissue Raman Spectroscopy for the Study of Radiation Damage: Brain Irradiation of Mice , 2002, Radiation research.

[17]  Claus Borggaard,et al.  Classification of Adipose Tissue Species using Raman Spectroscopy , 2007, Lipids.

[18]  A. Talari,et al.  Raman Spectroscopy of Biological Tissues , 2007 .

[19]  L. A. Stone,et al.  Computer Aided Design of Experiments , 1969 .

[20]  Bridgette G. Logan,et al.  Preliminary investigation into the use of Raman spectroscopy for the verification of Australian grass and grain fed beef. , 2020, Meat science.

[21]  D. Andueza,et al.  Using visible or near infrared spectroscopy (NIRS) on cheese to authenticate cow feeding regimes. , 2013, Food chemistry.

[22]  C. Wenk,et al.  Vitamin E content of different animal products: Influence of animal nutrition , 1997, Zeitschrift fur Ernahrungswissenschaft.

[23]  P. Grolier,et al.  Persistence of carotenoid pigments in the blood of concentrate-finished grazing sheep: its significance for the traceability of grass-feeding. , 2003, Journal of animal science.

[24]  H. Barr,et al.  Raman spectroscopy for identification of epithelial cancers. , 2004, Faraday discussions.

[25]  Hartwig Schulz,et al.  Identification and quantification of valuable plant substances by IR and Raman spectroscopy , 2007 .

[26]  Joe M. Byrne,et al.  A study examining the effects of tissue processing on human tissue sections using vibrational spectroscopy , 2005 .

[27]  F. Miller,et al.  Course Notes on the Interpretation of Infrared and Raman Spectra , 2004 .

[28]  S. Prache.  Developing a diet authentication system from the composition of milk and meat in sheep: a review , 2007, The Journal of Agricultural Science.

[29]  A. Sancho,et al.  Influence of pasture or grain-based diets supplemented with vitamin E on antioxidant/oxidative balance of Argentine beef. , 2005, Meat science.

[30]  A. Sinclair,et al.  Weight management in transitional economies: the " double burden of disease" dilemma. , 2006 .

[31]  Wen-ting Cheng,et al.  Micro‐Raman spectroscopy used to identify and grade human skin pilomatrixoma , 2005, Microscopy research and technique.

[32]  J. A. Muñoz,et al.  Fat Deposition, Fatty Acid Composition, and Its Relationship with Meat Quality and Human Health , 2018, Meat Science and Nutrition.

[33]  T. Preston,et al.  Production and utilization of cassava foliage for livestock in integrated farming systems , 2004 .

[34]  D. Andueza,et al.  Comparison of visible and near infrared reflectance spectroscopy to discriminate between pasture-fed and concentrate-fed lamb carcasses. , 2008, Meat science.

[35]  S. Lam,et al.  Near‐infrared Raman spectroscopy for optical diagnosis of lung cancer , 2003, International journal of cancer.

[36]  C. Mapiye,et al.  Subcutaneous Adipose Fatty Acid Profiles and Related Rumen Bacterial Populations of Steers Fed Red Clover or Grass Hay Diets Containing Flax or Sunflower-Seed , 2014, PloS one.

[37]  M. V. Van Elswyk,et al.  Impact of grass/forage feeding versus grain finishing on beef nutrients and sensory quality: the U.S. experience. , 2014, Meat science.

[38]  D. Hopkins,et al.  Muscle antioxidant (vitamin E) and major fatty acid groups, lipid oxidation and retail colour of meat from lambs fed a roughage based diet with flaxseed or algae. , 2016, Meat science.

[39]  G. A. Sarriés,et al.  Trace elements and machine learning for Brazilian beef traceability. , 2020, Food chemistry.

[40]  D. Stojanovic,et al.  Authentication of meat and meat products vs. detection of animal species in feed – what is the difference? , 2017 .

[41]  I. Y. Mizubuti,et al.  Supplementation with Cashew Nut and Cottonseed Meal to Modify Fatty Acid Content in Lamb Meat. , 2016, Journal of food science.

[42]  G. Downey,et al.  Beef authentication using dietary markers: chemometric selection and modelling of significant beef biomarkers using concatenated data from multiple analytical methods. , 2013, Food chemistry.

[43]  P. Vandenabeele,et al.  Reference database of Raman spectra of biological molecules , 2007 .

[44]  R. Mendelsohn,et al.  Infrared determination of conformational order and phase behavior in ceramides and stratum corneum models. , 2000, Methods in enzymology.

[45]  Yankun Peng,et al.  Spectral Detection Techniques for Non-Destructively Monitoring the Quality, Safety, and Classification of Fresh Red Meat , 2018, Food Analytical Methods.

[46]  G. Nader,et al.  A review of fatty acid profiles and antioxidant content in grass-fed and grain-fed beef , 2010, Nutrition journal.

[47]  H. Förstel,et al.  Stable isotope variation as a tool to trace the authenticity of beef , 2004, Analytical and bioanalytical chemistry.

[48]  S. Rehman,et al.  Raman Spectroscopy of Biological Tissues , 2007 .

[49]  J. Oltjen,et al.  Compensatory growth and carcass quality in growth-restricted and refed beef steers. , 1995, Journal of animal science.

[50]  Satoshi Kawata,et al.  Visualizing Cell State Transition Using Raman Spectroscopy , 2014, PloS one.

[51]  H. Steinhart,et al.  Effect of pasture vs. concentrate diet on CLA isomer distribution in different tissue lipids of beef cattle , 2005, Lipids.

[52]  J. Spink,et al.  Defining the public health threat of food fraud. , 2011, Journal of food science.

[53]  M. Dugan,et al.  Near infrared reflectance spectroscopy predicts the content of polyunsaturated fatty acids and biohydrogenation products in the subcutaneous fat of beef cows fed flaxseed. , 2012, Meat science.

[54]  Christoph Krafft,et al.  Near infrared Raman spectra of human brain lipids. , 2005, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[55]  L. B. Larsen,et al.  Quantification of individual fatty acids in bovine milk by infrared spectroscopy and chemometrics: understanding predictions of highly collinear reference variables. , 2014, Journal of dairy science.

[56]  Keith Warriner,et al.  Droplet digital polymerase chain reaction (ddPCR) assays integrated with an internal control for quantification of bovine, porcine, chicken and turkey species in food and feed , 2017, PloS one.

[57]  R. Petri,et al.  Changes in Rumen Microbial Profiles and Subcutaneous Fat Composition When Feeding Extruded Flaxseed Mixed With or Before Hay , 2018, Front. Microbiol..

[58]  George-John E. Nychas,et al.  Multispectral imaging (MSI): A promising method for the detection of minced beef adulteration with horsemeat , 2017 .

[59]  G. Puppels,et al.  Detection of meningioma in dura mater by Raman spectroscopy. , 2005, Analytical chemistry.

[60]  H. Zerby,et al.  Carcass merit and meat quality in Suffolk lambs, Katahdin lambs, and meat-goat kids finished on a grass-legume pasture with and without supplementation. , 2014, Meat science.