Skip to main content
Log in

On-Site NIR Spectroscopy to Control the Shelf Life of Pork Meat

  • Published:
Food Analytical Methods Aims and scope Submit manuscript

Abstract

Control of meat shelf-life includes the time that it remains in the exhibitor of sale (such as the supermarket) until its rejection for the consumer, or withdrawal due to expiry date. Near infrared spectroscopy (NIRS) is one of the most promising techniques for large-scale meat quality control. This study investigated the potential of on-site NIRS portable instrumentation-based models to predict three microbiological parameters to establish if pork meat is acceptable or not for consumption (aerobic Mesophilous microorganisms, Enterobacteriaceae, and lactic acid bacteria) and pH to quality control food preservation and shelf-life extension on intact slices of pork meat packaged under two different modified atmospheres. NIR calibrations were developed by using an on-site Phazir instrument (Polychromix, Wilmington, MA, USA) in the range 1,600–2,400 nm. A total of 252 samples of pork meat slices were directly scanned twice in reflectance mode on trays, once before and another one after removing the film cover at 1, 3, 5, 7, 9, 12, and 15 days of storage. Results showed that spectra of meat acceptable or not for consumption have marked differences around 1,660 nm. NIRS quantitative prediction models showed r 2 values between 0.19 and 0.65 for the microbiological parameters assayed. The developed NIRS methodology makes possible on-site prediction of microbiological status of pork meat with a standard error of cross-validation around 1 log cfu/g. Results have shown that modified atmosphere packaging has no influence on calibration statistics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Ammor MS, Argyri A, Nychas GJE (2009) Meat Sci 81:507

    CAS  Google Scholar 

  • Argyri AA, Panagou EZ, Tarantilis PA, Polysiou M, Nychas GJE (2010) Sens Actuators B 145:146

    Article  Google Scholar 

  • Barnes RJ, Dhanoa MS, Lister SJ (1989) Appl Spectrosc 43(5):772

    Article  CAS  Google Scholar 

  • Barnes RJ, Dhanoa MS, Lister SJ (1993) J Near Infrared Spectrosc 1(3):185

    Article  CAS  Google Scholar 

  • Berzaghi P, Dalla Zotte A, Jansson LM, Angdrighetto I (2005) Poult Sci 84:128

    CAS  Google Scholar 

  • Chouliara E, Badeka A, Savvaidis I, Kontominas MG (2007) Eur Food Res Tech 226(4):877

    Article  Google Scholar 

  • Cozzolino D, Murray I (2002) J Near Infrared Spectrosc 10:37

    Article  CAS  Google Scholar 

  • Díaz P, Garrido MD, Bañón S (2010) Meat Sci 84:538

    Article  Google Scholar 

  • Downey G, Hildrum KI (2004) Analysis of meats. In: Al-Amoodi L, Craig R, Workman J, Reeves J III (eds) Near-infrared spectroscopy in agriculture. ASA-CSSA-SSSA, Madison, pp 599–632

    Google Scholar 

  • European Union (2007) Regulation (EC) no. 1441/2007. Off J Eur Comm L 322/12–29

    Google Scholar 

  • Geesink GH, Schreutelkamp FH, Frankhuizen R, Vedder HW, Faber NM, Kranen RW (2003) Meat Sci 65:661–668

    Article  Google Scholar 

  • ISO/PDTS 19036 (2005) Microbiology of food and animal feeding stuffs—guide on estimation of measurements uncertainty for qualitative determinations

  • Liu Y, Lyon BG, Windham WR, Lyon CE, Savage EM (2004) Poult Sci 83:1467–1474

    CAS  Google Scholar 

  • Nopwinyuwong A, Trevanich S, Suppakula P (2010) Talanta 81:1126

    Article  CAS  Google Scholar 

  • Osborne BG, Fearn T (1986) Near infrared spectroscopy in food analysis. Longman, Harlow, p 36

    Google Scholar 

  • Pérez-Alonso F, Auburg SP, Rodríguez O, Barros-Velázquez J (2004) Eur Food Res Technol 218:313

    Article  Google Scholar 

  • Prieto N, Andrés S, Giráldez FJ, Mantecón AR, Lavín P (2008) Meat Sci 79:198

    Article  Google Scholar 

  • Prieto N, Roehe R, Lavín P, Batten G, Andrés S (2009) Meat Sci 83:175

    Article  CAS  Google Scholar 

  • Sánchez MT, Pérez-Marín MD, Flores-Rojas K, Guerrero JE, Garrido-Varo A (2009) Talanta 78:530–536

    Article  Google Scholar 

  • Shenk JS, Westerhaus MO (1991) Crop Sci 31:1548

    Article  CAS  Google Scholar 

  • Warriss PD (2010) Handbook of meat science. The chemical composition and structure of meat, 2nd edn. Cambridge University Press, Cambridge, p 27

    Google Scholar 

  • WinISI II software v.1.5 (2000) Infrasoft International, Port Matilda, PA, USA

Download references

Acknowledgments

This research work was supported by the Asturias Regional Project PCTI-IE07-132 and PCTI-IB08-151 for portable NIRS instrument acquisition.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ana Soldado.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Prado, N., Fernández-Ibáñez, V., González, P. et al. On-Site NIR Spectroscopy to Control the Shelf Life of Pork Meat. Food Anal. Methods 4, 582–589 (2011). https://doi.org/10.1007/s12161-011-9208-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12161-011-9208-2

Keywords

Navigation