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Imaging of Intact Ovine m. semimembranosus by Confocal Raman Microscopy

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Abstract

This paper reports for the first time the application of Raman confocal microscopic imaging to determine the impact of chemical and spatial differences in Raman spectra of ovine m. semimembranosus (SM) on indicators of tenderness and the potential to classify SMs based on shear force values. Chemical images of integrated intensities were generated and analysed against traditional indicators of tenderness. Results indicated that using the tyrosine doublet at 853 cm−1, it was possible to classify SMs into categories based on tenderness and soluble collagen content (P < 0.05). A promising classification was also achieved for the classification of SMs based on sarcomere lengths (P < 0.05) using the α-helix (930 cm−1) signal. Despite integrating the intensities and reducing wavenumbers values used in the analysis, the Raman spectra were still complex and the impact of spectral overlap from multiple compounds with similar chemical composition will need to be determined by future research.

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References

  • Anonymous (2005). Handbook of Australian meat (7th ed., ). Brisbane, Australia:AUS-MEAT Limited.

    Google Scholar 

  • AOAC (2000). AOAC official methods of analysis. AOAC Official Method 990.26.

  • Beattie, J. R., Bell, S. E. J., Borggaard, C., & Moss, B. W. (2008). Preliminary investigations on the effects of ageing and cooking on the Raman spectra of porcine longissimus dorsi. Meat Science, 80(4), 1205–1211. doi:10.1016/j.meatsci.2008.05.016.

    Article  CAS  Google Scholar 

  • Beattie, J. R., Bell, S. J., Farmer, L. J., Moss, B. W., & Patterson, D. (2004). Preliminary investigation of the application of Raman spectroscopy to the prediction of the sensory quality of beef silverside. Meat Science, 66(4), 903–913. doi:10.1016/j.meatsci.2003.08.012.

    Article  Google Scholar 

  • Binoy, J., Abraham, J. P., Joe, I. H., Jayakumar, V. S., Pettit, G. R., & Nielsen, O. F. (2004). NIR-FT Raman and FT-IR spectral studies and ab initio calculations of the anti-cancer drug combretastatin-A4. Journal of Raman Spectroscopy, 35(11), 939–946. doi:10.1002/jrs.1236.

    Article  CAS  Google Scholar 

  • Bouton, P. E., & Harris, P. V. (1972). The effects of cooking temperature and time on some mechanical properties of meat. Journal of Food Science, 37, 140–145.

    Article  Google Scholar 

  • Bouton, P. E., Harris, P. V., Shorthose, W. R., & Baxter, R. I. (1973). Comparison of the effects of aging, conditioning and skeletal restraint on the tenderness of mutton. Journal of Food Science, 38.

  • Bruker (2013). Opus© chemometric software for Raman and FTIR spectroscopy.

  • Carey, P. R. (1982). Biochemical applications of Raman and reasonance Raman spectroscopies. New York:Academic Press Inc..

    Google Scholar 

  • Cheng, W.-T., Liu, M.-T., Liu, H.-N., & Lin, S.-Y. (2005). Micro-Raman spectroscopy used to identify and grade human skin pilomatrixoma. Microscopy Research and Technique, 68(2), 75–79. doi:10.1002/jemt.20229.

    Article  CAS  Google Scholar 

  • Das, R. S., & Agrawal, Y. K. (2011). Raman spectroscopy: recent advancements, techniques and applications. Vibrational Spectroscopy, 57(2), 163–176.

    Article  CAS  Google Scholar 

  • Debelle, L., Alix, A. J. P., Jacob, M.-P., Huvenne, J.-P., Berjot, M., Sombret, B., et al. (1995). Bovine elastin and κ-elastin secondary structure determination by optical spectroscopies. Journal of Biological Chemistry, 270(44), 26099–26103. doi:10.1074/jbc.270.44.26099.

    Article  CAS  Google Scholar 

  • Dransfield, E., Etherington, D. J., & Taylor, M. A. J. (1992). Modelling post-mortem tenderisation—II: enzyme changes during storage of electrically stimulated and non-stimulated beef. Meat Science, 31(1), 75–84, doi:http://dx.doi.org/10.1016/0309-1740(92)90073-D.

  • Fowler, S. M., Schmidt, H., van de Ven, R., Wynn, P., & Hopkins, D. L. (2014). Predicting tenderness of fresh ovine semimembranosus using Raman spectroscopy. Meat Science, 97(4), 597–601.

    Article  Google Scholar 

  • Frushour, B. G., & Koenig, J. L. (1975). Raman scattering of collagen, gelatin, and elastin. Biopolymers, 14(2), 379–391. doi:10.1002/bip.1975.360140211.

    Article  CAS  Google Scholar 

  • Gierlinger, N., Keplinger, T., & Harrington, M. (2012). Imaging of plant cell walls by confocal Raman microscopy. Nature Protocols, 7(9), 1694–1708, doi:http://dx.doi.org/10.1038/nprot.2012.092.

  • Herrero, A. M. (2008). Raman spectroscopy for monitoring protein structure in muscle food systems. Critical Reviews in Food Science and Nutrition, 48(6), 512–523. doi:10.1080/10408390701537385.

    Article  CAS  Google Scholar 

  • Hopkins, D. L., Kerr, M. J., Kerr, M. G., & van de Ven, R. (2012). Within sample variance for shear force testing of lamb meat. In Paper presented at the proceedings of the 29th biennial conference of the Australian society of animal production. Christchurch: New Zealand.

    Google Scholar 

  • Hopkins, D. L., & Thompson, J. M. (2001). The relationship between tenderness, proteolysis, muscle contraction and dissociation of actomyosin. Meat Science, 57(1), 1–12, doi:10.1016/s0309-1740(00)00065-6.

  • Hopkins, D. L., Toohey, E. S., Kerr, M. J., & van de Ven, R. (2011). Comparison of two instruments (G2 Tenderometer and a Lloyd Texture analyser) for measuring the shear force of cooked meat. Animal Production Science, 51(1), 71–76, doi:http://dx.doi.org/10.1071/AN10136.

  • Hwang, I. H., Park, B. Y., Cho, S. H., & Lee, J. M. (2004). Effects of muscle shortening and proteolysis on Warner–Bratzler shear force in beef longissimus and semitendinosus. Meat Science, 68(3), 497–505, doi:http://dx.doi.org/10.1016/j.meatsci.2004.04.002.

  • Karatzoglou, A., Smola, A., Hornik, K., & Zeileis, A. (2004). kernlab—an S4 package for kernel methods in R. 11(9), 1–20.

  • Karumendu, L. U., van de Ven, R., Kerr, M. J., Lanza, M., & Hopkins, D. L. (2009). Particle size analysis of lamb meat: effect of homogenization speed, comparison with myofibrillar fragmentation index and its relationship with shear force. Meat Science, 82(4), 425–431, doi:http://dx.doi.org/10.1016/j.meatsci.2009.02.012.

  • Marsh, B. B. Tenderness. In D. J. A. Cole, & R. A. Lawrie (Eds.), Proceedings of the Twenty First Easter School of in Agriculture Science, University of Nottingham, 1974 (pp. 339–357): Butterworth & Co Publishing Ltd

  • Inc, M. C. (2011). Image-Pro Plus. Sliver Springs USA.

  • Merlino, A., Sica, F., Mazzarella, L., Zagari, A., & Vergara, A. (2008). Correlation between Raman and X-ray crystallography data of (Pro-Pro-Gly)10. Biophysical Chemistry, 137(1), 24–27, doi:http://dx.doi.org/10.1016/j.bpc.2008.06.008.

  • Movasaghi, Z., Rehman, S., & Rehman, I. U. (2007). Raman spectroscopy of biological tissues. Applied Spectroscopy Reviews, 42(5), 493–541. doi:10.1080/05704920701551530.

    Article  CAS  Google Scholar 

  • Pedersen, D. K., Morel, S., Andersen, H. J., & Balling Engelsen, S. (2003). Early prediction of water-holding capacity in meat by multivariate vibrational spectroscopy. Meat Science, 65(1), 581–592. doi:10.1016/s0309-1740(02)00251-6.

    Article  Google Scholar 

  • Pezolet, M., Pigeon-Gosselin, M., & Caille, J.-P. (1978). Laser Raman investigation of intact single muscle fibers: protein conformations. Biochimica et Biophysica Acta (BBA) - Protein Structure, 533(1), 263–269, doi:http://dx.doi.org/10.1016/0005-2795(78)90570–6.

  • Pézolet, M., Pigeon-Gosselin, M., Nadeau, J., & Caillé, J. P. (1980). Laser Raman scattering. A molecular probe of the contractile state of intact single muscle fibers. Biophysical Journal, 31(1), 1–8, doi:http://dx.doi.org/10.1016/S0006-3495(80)85036–3.

  • Pézolet, M., Pigeon, M., Ménard, D., & Caillé, J. P. (1988). Raman spectroscopy of cytoplasmic muscle fiber proteins. Orientational order. Biophysical Journal, 53(3), 319–325. doi:10.1016/s0006-3495(88)83109-6.

    Article  Google Scholar 

  • R Core Team (2013). R: a language and environment for statistical computing. In R Foundation for Statistical Computing (Ed.). Vienna, Austria.

  • Scheier, R., Köhler, J., & Schmidt, H. (2014). Identification of the early post mortem metabolic state of porcine m. semimembranosus using Raman spectroscopy. Vibrational Spectroscopy, 70, 12–17.

    Article  CAS  Google Scholar 

  • Schmidt, H., Scheier, R., & Hopkins, D. L. (2013). Preliminary investigation on the relationship of Raman spectra of sheep meat with shear force and cooking loss. Meat Science, 93(1), 138–143. doi:10.1016/j.meatsci.2012.08.019.

    Article  Google Scholar 

  • Thompson, J. M., Gee, A., Hopkins, D. L., Pethick, D. W., Baud, S. R., & O’Halloran, W. J. (2005). Development of a sensory protocol for testing palatability of sheep meats. Australian Journal of Experimental Agriculture, 45(5), 469–476, doi:http://dx.doi.org/10.1071/EA03174.

  • Toohey, E. S., Hopkins, D. L., Stanley, D. F., & Nielsen, S. G. (2008). The impact of new generation pre-dressing medium-voltage electrical stimulation on tenderness and colour stability in lamb meat. Meat Science, 79(4), 683–691, doi:http://dx.doi.org/10.1016/j.meatsci.2007.10.036.

  • Tornberg, E. (1996). Biophysical aspects of meat tenderness. Meat Science, 43, 175–191.

    Article  Google Scholar 

  • Tsuboi, M., Ezaki, Y., Aida, M., Suzuki, M., Yimit, A., Ushizawa, K., et al. (1998). Raman scattering tensors of tyrosine. Biospectroscopy, 4(1), 61–71. doi:10.1002/(SICI)1520-6343(1998)4:1<61::AID-BSPY7>3.0.CO;2-V.

    Article  CAS  Google Scholar 

  • Vapnik, V. (1998). Statistical learning theory. New York, United States of America:Wiley.

    Google Scholar 

  • Venables, W. N., & Ripley, B. D. (2002). Modern applied statistics with S (4th ed., ). New York, America:Springer.

    Book  Google Scholar 

  • Warriss, P. D. (2010). Meat science—an introductory text (2nd ed., ). Cambridge:Cambridge University Press.

    Google Scholar 

  • WiTec (2012). WiTec Project v2.10 chemometric software for Raman microscopy.

Download references

Acknowledgments

This work has been financially supported by the Australian Meat Processor Corporation (AMPC) and Meat and Livestock Australia (MLA), as is the senior author by scholarship. The authors also acknowledge the contribution of Matt Kerr, Tracy Lamb and Kristy Bailes (NSW DPI) who assisted in the measurement of the samples.

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The authors declare they have no competing interests.

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Correspondence to Stephanie M. Fowler.

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Fowler, S.M., Wood, B.R., Ottoboni, M. et al. Imaging of Intact Ovine m. semimembranosus by Confocal Raman Microscopy. Food Bioprocess Technol 8, 2279–2286 (2015). https://doi.org/10.1007/s11947-015-1574-0

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  • DOI: https://doi.org/10.1007/s11947-015-1574-0

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