Applications of miniaturized and portable near infrared spectroscopy (NIRS) for inspection and control of meat and meat products

References

• Murphy, S.P.; Gewa, C.; Liang, L.J.; Grillen Berger, M.; Bwibo, N.O.; Neumann, C.G. Animal Source Foods to Improve Micronutrient Nutrition and Human Function in Developing Countries. J. Nutri. 2003, 133, 3932–3935. DOI: 10.1093/jn/133.11.3932S.
   PubMed Web of Science ®Google Scholar
• Sofos, J.N.; Geornaras, I. Overview of Current Meat Hygiene and Safety Risks and Summary of Recent Studies on Biofilms, and Control of Escherichia Coli O157: H7 in Non-Intact, and Listeria Monocytogenes in Ready-To-Eat, Meat Products. Meat Sci. 2010, 86(1), 2–14. DOI: 10.1016/j.meatsci.2010.04.015.
   PubMed Web of Science ®Google Scholar
• Kamruzzaman, M.; Makino, Y.; Oshita, S. Non-Invasive Analytical Technology for the Detection of Contamination, Adulteration, and Authenticity of Meat, Poultry, and Fish: A Review. Anal.Chim.Acta 2015, 853, 19–29. DOI: 10.1016/j.aca.2014.08.043.
   PubMed Web of Science ®Google Scholar
• Sofos, J.N.;. Challenges to Meat Safety in the 21st Century. Meat Sci. 2008, 78(1), 3–13. DOI: 10.1016/j.meatsci.2007.07.027.
   PubMed Web of Science ®Google Scholar
• Ellis, D.I.; Goodacre, R. Rapid and Quantitative Detection of the Microbial Spoilage of Muscle Foods: Current Status and Future Trends. Tren. Food Sci. & Tech. 2001, 12(11), 414–424. DOI: 10.1016/S0924-2244(02)00019-5.
   Web of Science ®Google Scholar
• Weeranantanaphan, J.; Downey, G.; Allen, P.; Sun, D.W. A Review of near Infrared Spectroscopy in Muscle Food Analysis: 2005-2010. J. Near Inf. Spec. 2011, 19(2), 61. DOI: 10.1255/jnirs.924.
   Web of Science ®Google Scholar
• Tzouros, N.E.; Arvanitoyannis, I.S. Implementation of Hazard Analysis Critical Control Point (HACCP) System to the Fish/Seafood Industry: A Review. Food Rev. Intern. 2000, 16(3), 273–325. DOI: 10.1081/FRI-100100290.
   Web of Science ®Google Scholar
• Ellis, D.I.; Brewster, V.L.; Dunn, W.B.; Allwood, J.W.; Golovanov, A.P.; Goodacre, R. Fingerprinting Food: Current Technologies for the Detection of Food Adulteration and Contamination. Chem. Soc. Rev. 2012, 41(17), 5706–5727. DOI: 10.1039/c2cs35138b.
   PubMed Web of Science ®Google Scholar
• Bellon, V.; Vigneau, J.L.; Sévila, F. Infrared and Near-Infrared Technology for the Food Industry and Agricultural Uses: On-Line Applications. Food Cont. 1994, 5(1), 21–27. DOI: 10.1016/0956-7135(94)90129-5.
   Web of Science ®Google Scholar
• Huang, H.; Yu, H.; Xu, H.; Ying, Y. Near Infrared Spectroscopy for On/In-Line Monitoring of Quality in Foods and Beverages: A Review. J. Food Eng. 2008, 87, 303–313. DOI: 10.1016/j.jfoodeng.2007.12.022.
   Web of Science ®Google Scholar
• Porep, J.U.; Kammerer, D.R.; Carle, R. On-Line Application of near Infrared (NIR) Spectroscopy in Food Production. Tren. Food Sci. Tech. 2015, 46(2), 211–230. DOI: 10.1016/j.tifs.2015.10.002.
   Web of Science ®Google Scholar
• Zamora-Rojas, E.; Pérez-Marín, D.; De Pedro-Sanz, E.; Guerrero-Ginel, J.E.; Garrido-Varo, A. Handheld NIRS Analysis for Routine Meat Quality Control: Database Transfer from At-Line Instruments. Chem. Intel. Lab. Sys. 2012a, 114, 30–35. DOI: 10.1016/j.chemolab.2012.02.001.
   Web of Science ®Google Scholar
• McMullin, D.; Mizaikoff, B.; Krska, R. Advancements in IR Spectroscopic Approaches for the Determination of Fungal Derived Contaminations in Food Crops. Anal.Bioanal. Chem. 2015, 407(3), 653–660. DOI: 10.1007/s00216-014-8145-5.
   PubMed Web of Science ®Google Scholar
• Prado, N.; Fernández-Ibáñez, V.; González, P.; Soldado, A. On-Site NIR Spectroscopy to Control the Shelf Life of Pork Meat. Food Anal.Meth. 2011, 4(4), 582–589. DOI: 10.1007/s12161-011-9208-2.
   Web of Science ®Google Scholar
• Ellis, D.I.; Muhamadali, H.; Haughey, S.A.; Elliott, C.T.; Goodacre, R. Point-And-Shoot: Rapid Quantitative Detection Methods for On-Site Food Fraud Analysis–Moving Out of the Laboratory and into the Food Supply Chain. Anal.Meth. 2015, 7(22), 9401–9414. DOI: 10.1039/C5AY02048D.
   Web of Science ®Google Scholar
• Schmutzler, M.; Huck, C.W. Simultaneous Detection of Total Antioxidant Capacity and Total Soluble Solids Content by Fourier Transform Near-Infrared (FT-NIR) Spectroscopy: A Quick and Sensitive Method for On-Site Analyses of Apples. Food Cont. 2016, 66, 27–37. DOI: 10.1016/j.foodcont.2016.01.026.
   Web of Science ®Google Scholar
• Schmutzler, M.; Beganovic, A.; Böhler, G.; Huck, C.W. Modern Safety Control for Meat Products: Near Infrared Spectroscopy Utilised for Detection of Contaminations and Adulterations of Premium Veal Products. NIR News 2016, 27(4), 11–13. DOI: 10.1255/nirn.1610.
   Google Scholar
• Pérez-Marín, D.; Sanz, E.D.P.; Guerrero-Ginel, J.E.; Garrido-Varo, A. A Feasibility Study on the Use of Near-Infrared Spectroscopy for Prediction of the Fatty Acid Profile in Live Iberian Pigs and Carcasses. Meat Sci. 2009, 83(4), 627–633. DOI: 10.1016/j.meatsci.2009.07.012.
   PubMed Web of Science ®Google Scholar
• Dian, P.H.M.; Andueza, D.; Jestin, M.; Prado, I.N.; Prache, S. Comparison of Visible and near Infrared Reflectance Spectroscopy to Discriminate between Pasture-Fed and Concentrate-Fed Lamb Carcasses. Meat Sci. 2008, 80(4), 1157–1164. DOI: 10.1016/j.meatsci.2008.05.009.
   PubMed Web of Science ®Google Scholar
• Zamora-Rojas, E.; Pérez-Marín, D.; De Pedro-Sanz, E.; Guerrero-Ginel, J.E.; Garrido-Varo, A. In-Situ Iberian Pig Carcass Classification Using a Micro-Electro-Mechanical System (Mems)-Based near Infrared (NIR) Spectrometer. Meat Sci. 2012b, 90(3), 636–642. DOI: 10.1016/j.meatsci.2011.10.006.
   PubMed Web of Science ®Google Scholar
• Troy, D.J.; Ojha, K.S.; Kerry, J.P.; Tiwari, B.K. Sustainable and Consumer-Friendly Emerging Technologies for Application within the Meat Industry: An Overview. Meat Sci. 2016, 120, 2–9. DOI: 10.1016/j.meatsci.2016.04.002.
   PubMed Web of Science ®Google Scholar
• Dos Santos, C.A.T.; Lopo, M.; Páscoa, R.N.; Lopes, J.A. A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry. Appl. Spec. 2013, 67(11), 1215–1233. DOI: 10.1366/13-07228.
   PubMed Web of Science ®Google Scholar
• Teixeira dos Santos, C.A.; Páscoa, R.N.; Lopo, M.; Lopes, J.A. Applications of Portable Near‐Infrared Spectrometers. Encyclopedia Anal.Chem. 2016.
   Google Scholar
• Ozaki, Y.;. Near-Infrared Spectroscopy—Its Versatility in Analytical Chemistry. Anal. Sci. 2012, 28(6), 545–563.
   PubMed Web of Science ®Google Scholar
• Siesler, H.W.; Ozaki, Y.; Kawata, S.; Heise, H.M. Near-Infrared Spectroscopy: Principles, Instruments, Applications; John Wiley & Sons, 2008.
   Google Scholar
• Huck, C.W.;. “Miniaturized MIR and NIR Sensors for Medicinal Plant Quality Control.” (2017). Retrieved November 7, 2017, from http://www.spectroscopyonline.com/miniaturized-mir-and-nir-sensors-medicinal-plant-quality-control
   Google Scholar
• Pasquini, C.;. Near Infrared Spectroscopy: Fundamentals, Practical Aspects and Analytical Applications. J. Braz. Chem. Soc. 2003, 14(2), 198–219. DOI: 10.1590/S0103-50532003000200006.
   Web of Science ®Google Scholar
• Blanco, M.; Villarroya, I.N.I.R. NIR Spectroscopy: A Rapid-Response Analytical Tool. TrACTren.Anal. Chem. 2002, 21(4), 240–250. DOI: 10.1016/S0165-9936(02)00404-1.
   Web of Science ®Google Scholar
• Williams, P.; Norris, K. Near-Infrared Technology in the Agricultural and Food Industries; American Association of Cereal Chemists, Inc., 1987.
   Google Scholar
• Cozzolino, D.; Murray, I. Identification of Animal Meat Muscles by Visible and near Infrared Reflectance Spectroscopy. LWT-Food Sci. Tech. 2004, 37(4), 447–452. DOI: 10.1016/j.lwt.2003.10.013.
   Web of Science ®Google Scholar
• Cozzolino, D.; Murray, I. Effect of Sample Presentation and Animal Muscle Species on the Analysis of Meat by near Infrared Reflectance Spectroscopy. J. Near Inf.Spect. 2002, 10(1), 37–44. DOI: 10.1255/jnirs.319.
   Web of Science ®Google Scholar
• Alamprese, C.; Amigo, J.M.; Casiraghi, E.; Engelsen, S.B. Identification and Quantification of Turkey Meat Adulteration in Fresh, Frozen-Thawed and Cooked Minced Beef by FT-NIR Spectroscopy and Chemometrics. Meat Sci. 2016, 121, 175–181. DOI: 10.1016/j.meatsci.2016.06.018.
   PubMed Web of Science ®Google Scholar
• Morsy, N.; Sun, D.-W. Robust Linear and Non-Linear Models of NIR Spectroscopy for Detection and Quantification of Adulterants in Fresh and Frozen-Thawed Minced Beef. Meat Sci. 2013, 93(2), 292–302. DOI: 10.1016/j.meatsci.2012.09.005.
   PubMed Web of Science ®Google Scholar
• Rinnan, Å.; van den Berg, F.; Engelsen, S.B. Review of the Most Common Pre-Processing Techniques for Near-Infrared Spectra. TrACTren.Anal. Chem. 2009, 28(10), 1201–1222. DOI: 10.1016/j.trac.2009.07.007.
   Web of Science ®Google Scholar
• Kirchler, C.G.; Pezzei, C.K.; Beć, K.B.; Mayr, S.; Ishigaki, M.; Ozaki, Y.; Huck, C.W. Critical Evaluation of Spectral Information of Benchtop Vs. Portable Near-Infrared Spectrometers: Quantum Chemistry and Two-Dimensional Correlation Spectroscopy for a Better Understanding of PLS Regression Models of the Rosmarinic Acid Content in Rosmarini Folium. Analyst 2017, 142(3), 455–464. DOI: 10.1039/c6an02439d.
   PubMed Web of Science ®Google Scholar
• Ozaki, Y.; Noda, I. Potential of Generalised Two-Dimensional Correlation Spectroscopy in the near Infrared Region. J. Near Infr. Spec. 1996, 4(1), 85–99. DOI: 10.1255/jnirs.79.
   Google Scholar
• Arvanitoyannis, I.S.; van Houwelingen-Koukaliaroglou, M. Implementation of Chemometrics for Quality Control and Authentication of Meat and Meat Products. Crit. Rev. Food Sci. Tech. 2003, 173–218. DOI: 10.1080/10408690390826482.
   PubMed Web of Science ®Google Scholar
• Cheng, J.H.; Sun, D.W. Recent Applications of Spectroscopic and Hyperspectral Imaging Techniques with Chemometric Analysis for Rapid Inspection of Microbial Spoilage in Muscle Foods. Comp.Rev. Food Sci. Food Saf. 2015, 14(4), 478–490. DOI: 10.1111/1541-4337.12141.
   Web of Science ®Google Scholar
• Prieto, N.; Roehe, R.; Lavin, P.; Batten, G.; Andres, S. Application of near Infrared Reflectance Spectroscopy to Predict Meat and Meat Products Quality: A Review. Meat Sci. 2009, 83(2), 175–186. DOI: 10.1016/j.meatsci.2009.04.016.
   PubMed Web of Science ®Google Scholar
• European Commision. 2013. Horse Meat E Questions and Answers.Retrieved November 17, 2017 http://ec.europa.eu/food/safety/official_controls/food_fraud/horse_meat/qanda/index_en.htm.
   Google Scholar
• Henn, R.; Schwab, A.; Huck, C.W. Evaluation of Benchtop versus Portable Near-Infrared Spectroscopic Method Combined with Multivariate Approaches for the Fast and Simultaneous Quantitative Analysis of Main Sugars in Syrup Formulations. Food Cont. 2016, 68, 97–104. DOI: 10.1016/j.foodcont.2016.03.037.
   Web of Science ®Google Scholar
• Sofos, J.N.;. Challenges to Meat Safety in the 21st Century. Meat Sci. 2008, 78(1–2), 3–13. DOI: 10.1016/j.meatsci.2007.07.027.
   PubMed Web of Science ®Google Scholar
• Friedrich, D.M.; Hulse, C.A.; von Gunten, M.; Williamson, E.P.; Pederson, C.G.; O’Brien, N.A. ‘Miniature Near-Infrared Spectrometer for Point-of-Use Chemical Analysis. Proc. SPIE 2014, 8992, 899203.
   Google Scholar
• Modroño, S.; Soldado, A.; Martínez-Fernández, A.; De la Roza-Delgado, B. Handheld NIRS Sensors for Routine Compound Feed Quality Control: Real Time Analysis and Field Monitoring. Tal 2017, 162, 597–603.
   PubMed Web of Science ®Google Scholar
• Gałuszka, A.; Migaszewski, Z.M.; Namieśnik, J. Moving Your Laboratories to the Field–Advantages and Limitations of the Use of Field Portable Instruments in Environmental Sample Analysis. Environ. Res. 2015, 140, 593–603. DOI: 10.1016/j.envres.2015.05.017.
   PubMed Web of Science ®Google Scholar
• Schmutzler, M.; Beganovic, A.; Böhler, G.; Huck, C.W. Methods for Detection of Pork Adulteration in Veal Product Based on FT-NIR Spectroscopy for Laboratory, Industrial and On-Site Analysis. Food Cont. 2015, 57, 258–267. DOI: 10.1016/j.foodcont.2015.04.019.
   Web of Science ®Google Scholar
• Dardenne, P.;. Calibration Transfer in near Infrared Spectroscopy. NIR News 2002, 13(4), 3–7. DOI: 10.1255/nirn.668.
   Google Scholar
• Feudale, R.N.; Woody, N.A.; Tan, H.; Myles, A.J.; Brown, S.D.; Ferré, J. Transfer of Multivariate Calibration Models: A Review. Chemometrics Intell. Lab. Syst. 2002, 64(2), 181–192. DOI: 10.1016/S0169-7439(02)00085-0.
   Web of Science ®Google Scholar
• ElMasry, G.; Barbin, D.F.; Sun, D.W.; Allen, P. Meat Quality Evaluation by Hyperspectral Imaging Technique: An Overview. Crit. Rev. Food Sci. Nutri. 2012, 52(8), 689–711. DOI: 10.1080/10408398.2010.507908.
   PubMed Web of Science ®Google Scholar
• Qu, J.H.; Liu, D.; Cheng, J.H.; Sun, D.W.; Ma, J.; Pu, H.; Zeng, X.A. Applications of Near-Infrared Spectroscopy in Food Safety Evaluation and Control: A Review of Recent Research Advances. Crit. Rev. Food Sci. Nutri. 2015, 55(13), 1939–1954. DOI: 10.1080/10408398.2013.871693.
   PubMed Web of Science ®Google Scholar
• Jordan, G.; Thomasius, R.; Schröder, H.; Wulf, J.S.; Schlüter, O.; Sumpf, B.; Schwägele, F. Non-Invasive Mobile Monitoring of Meat Quality. J. fürVerbraucherschutz und Lebensmittelsicherheit 2009, 4(1), 7–14. DOI: 10.1007/s00003-009-0389-1.
   Web of Science ®Google Scholar
• United States Department of Agriculture, USDA. Enhanced Poultry Inspection.ProposedRule.Fed. Reg. 59: 35659; Washington D.C., 1994.
   Google Scholar
• Windham, W.R.; Lawrence, K.C.; Park, B.; Buhr, R.J. Visible/NIR Spectroscopy for Characterizing Fecal Contamination of Chicken Carcasses. Trans. ASABE 2003, 46(3), 747–751. DOI: 10.13031/2013.13569.
   Google Scholar
• Cozzolino, D.; De Mattos, D.; Martins, D.V. Visible/Near Infrared Reflectance Spectroscopy for Predicting Composition and Tracing System of Production of Beef Muscle. Ani. Sci. 2002, 74(3), 477–484. DOI: 10.1017/S1357729800052632.
   Google Scholar
• Chen, Y.R.; Huffman, R.W.; Park, B.; Nguyen, M. Transportable Spectrophotometer System for On-Line Classification of Poultry Carcasses. Appl. Spec. 1996, 50(7), 910–916. DOI: 10.1366/0003702963905583.
   Web of Science ®Google Scholar
• Lin, M.; Al-Holy, M.; Mousavi-Hesary, M.; Al-Qadiri, H.; Cavinato, A.G.; Rasco, B.A. Rapid and Quantitative Detection of the Microbial Spoilage in Chicken Meat by Diffuse Reflectance Spectroscopy (600–1100 Nm). Lett. Appl. Microbiol. 2004, 39(2), 148–155. DOI: 10.1111/lam.2004.39.issue-2.
   PubMed Web of Science ®Google Scholar
• Liu, Y.; Windham, W.R.; Lawrence, K.C.; Park, B. Simple Algorithms for the Classification of Visible/Near-Infrared and Hyperspectral Imaging Spectra of Chicken Skins, Feces, and Fecal Contaminated Skins. Appl. Spec. 2003, 57(12), 1609–1612. DOI: 10.1366/000370203322640260.
   PubMed Web of Science ®Google Scholar
• Chao, K.; Nou, X.; Liu, Y.; Kim, M.S.; Chan, D.E.; Yang, C.C.; … Sharma, M. Detection of Fecal/Ingesta Contaminants on Poultry Processing Equipment Surfaces by Visible and Near-Infrared Reflectance Spectroscopy. Appl. Engr. Agric. 2008, 24(1), 49. DOI: 10.13031/2013.24148.
   Web of Science ®Google Scholar
• Xiong, Z.; Sun, D.W.; Pu, H.; Xie, A.; Han, Z.; Luo, M. Non-Destructive Prediction of Thiobarbituric Acid Reactive Substances (TBARS) Value for Freshness Evaluation of Chicken Meat Using Hyperspectral Imaging. Food Chem. 2015, 179, 175–181. DOI: 10.1016/j.foodchem.2015.01.116.
   PubMed Web of Science ®Google Scholar
• Li, H.; Chen, Q.; Zhao, J.; Wu, M. Nondestructive Detection of Total Volatile Basic Nitrogen (TVB-N) Content in Pork Meat by Integrating Hyperspectral Imaging and Colorimetric Sensor Combined with a Nonlinear Data Fusion. LWT-Food Sci. And Tech. 2015, 63(1), 268–274. DOI: 10.1016/j.lwt.2015.03.052.
   Web of Science ®Google Scholar
• Bae, Y.M.; Cho, S.I.; Kim, Y.Y.; Park, T.S.; Hwang, K.Y. Estimation of Freshness of Beef Using Near-Infrared Spectroscopy. Trans. ASABE 2006, 49(2), 557–561. DOI: 10.13031/2013.20399.
   Web of Science ®Google Scholar
• Huang, L.; Zhao, J.; Chen, Q.; Zhang, Y. Nondestructive Measurement of Total Volatile Basic Nitrogen (TVB-N) in Pork Meat by Integrating near Infrared Spectroscopy, Computer Vision and Electronic Nose Techniques. Food Chem. 2014, 145, 228–236. DOI: 10.1016/j.foodchem.2013.06.073.
   PubMed Web of Science ®Google Scholar
• Salinas, Y.; Ros-Lis, J.V.; Vivancos, J.L.; Martínez-Máñez, R.; Marcos, M.D.; Aucejo, S.; … Lorente, I. Monitoring of Chicken Meat Freshness by Means of a Colorimetric Sensor Array. Analyst 2012, 137(16), 3635–3643. DOI: 10.1039/c2an35211g.
   PubMed Web of Science ®Google Scholar
• Forbes, S.M.C.; Vaisey, M.; Diamant, R.; Cliplef, R. The Relationships between Consumer Criteria for Choosing Beef and Beef Quality. Can. Inst. Food Sci.Techn. J. 1974, 7(2), 130–135. DOI: 10.1016/S0315-5463(74)73878-0.
   Web of Science ®Google Scholar
• Byun, J.S.; Min, J.S.; Kim, I.S.; Kim, J.W.; Chung, M.S.; Lee, M. Comparison of Indicators of Microbial Quality of Meat during Aerobic Cold Storage. J. food prot. 2003, 66(9), 1733–1737.
   PubMed Web of Science ®Google Scholar
• Kim, H.W.; Choi, J.H.; Choi, Y.S.; Kim, H.Y.; Lee, M.A.; Hwang, K.E.; … Kim, C.J. Effects of Kimchi and Smoking on Quality Characteristics and Shelf Life of Cooked Sausages Prepared with Irradiated Pork. Meat Sci. 2014, 96(1), 548–553. DOI: 10.1016/j.meatsci.2013.08.023.
   PubMed Web of Science ®Google Scholar
• Ding, R.; Huang, X.; Han, F.; Dai, H.; Teye, E.; Xu, F. Rapid and Nondestructive Evaluation of Fish Freshness by near Infrared Reflectance Spectroscopy Combined with Chemometrics Analysis. Anal. Methods 2014, 6(24), 9675–9683. DOI: 10.1039/C4AY01839G.
   Web of Science ®Google Scholar
• Kimiya, T.; Sivertsen, A.H.; Heia, K. VIS/NIR Spectroscopy for Non-Destructive Freshness Assessment of Atlantic Salmon (Salmo Salar L.) Fillets. J. Of Food Eng. 2013, 116(3), 758–764. DOI: 10.1016/j.jfoodeng.2013.01.008.
   Web of Science ®Google Scholar
• Liu, D.; Zeng, X.A.; Sun, D.W. NIR Spectroscopy and Imaging Techniques for Evaluation of Fish Quality—A Review. Appl. Spect. Rev. 2013, 48(8), 609–628. DOI: 10.1080/05704928.2013.775579.
   Web of Science ®Google Scholar
• Lee, S.; Noh, T.G.; Choi, J.H.; Han, J.; Ha, J.Y.; Lee, J.Y.; Park, Y. NIR Spectroscopic Sensing for Point-Of-Need Freshness Assessment of Meat, Fish, Vegetables and Fruits. In Sensing for Agriculture and Food Quality and Safety IX, International Society for Optics and Photonics: 2017; Vol. 10217, pp 1021708.
   Google Scholar
• Wei, W.; Peng, Y.; Li, Y.; Qiao, L. Lightweight Portable Nondestructive Detection Technique for Assessing Meat Freshness Attributes Based on Light Emitting Diode Array. In ASABE Annual International Meeting; American Society of Agricultural and Biological Engineers, 2015; pp 1.
   Google Scholar
• Wei, W.; Peng, Y.; Qiao, L. Development of Hand-Held Nondestructive Detection Device for Assessing Meat Freshness. In SPIE Commercial+ Scientific Sensing and Imaging; International Society for Optics and Photonics, 2016; pp 98640W–98640W.
   Google Scholar
• Collell, C.; Gou, P.; Arnau, J.; Muñoz, I.; Comaposada, J. NIR Technology for On-Line Determination of Superficial a W and Moisture Content during the Drying Process of Fermented Sausages. Food Chem. 2012, 135(3), 1750–1755. DOI: 10.1016/j.foodchem.2012.06.036.
   PubMed Web of Science ®Google Scholar
• Shackell, G.H.;. Traceability in the Meat Industry–The Farm to Plate Continuum. Int.J. Food Sci. Tech. 2008, 43(12), 2134–2142. DOI: 10.1111/j.1365-2621.2008.01812.x.
   Web of Science ®Google Scholar