Use of Commercial Enzymatic Time Temperature Integrator for Monitoring Spoilage of Ground Beef

효소형 Time-Temperature Integrator를 이용한 쇠고기의 부패확인

  • Lee, Jung-Young (Department of Food Science and Technology, Dongguk University) ;
  • Lee, Seung-Ju (Department of Food Science and Technology, Dongguk University) ;
  • Hong, Kwang-Won (Department of Food Science and Technology, Dongguk University)
  • Received : 2010.06.25
  • Accepted : 2010.07.14
  • Published : 2010.08.30

Abstract

The applicability of a commercial enzymatic time-temperature integrator (TTI) for monitoring spoilage of ground beef was investigated under isothermal storage condition at different temperatures. The volatile basic nitrogen (VBN) value was used as a spoilage index for ground beef. The time taken to reach the spoilage of ground beef stored at 4, 10, 15, 20, and ${25^{\circ}C}$ were 168, 114, 60, 48, and 24 hrs, respectively. However, these quality losses of beef were not coincided with the endpoints of the three different C-type TTIs (C-1, C-4, and C-7). In order to match the TTI response to the quality loss of beef, some ingredients such as enzyme and substrate solutions were extracted from C-1TTI and remixed with different amount of them in the tubes to constitute the modified TTIs. The responses of the modified CM-1 TTI were very close to the quality loss of beef stored at 20 and ${25^{\circ}C}$, but not at other temperatures tested. The response of the other modified CM-2 TTI was only matched to the quality loss of beef stored at ${15^{\circ}C}$. Therefore, systematic kinetic studies of food spoilage and the TTI response are required to apply the TTI as a quality indicator for a specific food.

시판되는 효소형 TTI를 이용하여 다양한 온도에서 보관 중인 간 쇠고기의 부패 확인이 가능한지 조사하였다. 쇠고기의 부패 확인 지표로는 volatile basic nitrogen(VBN)을 이용하였다. 실험 온도 4, 10, 15, 20 및 ${25^{\circ}C}$에서 쇠고기가 부패하는데 소요된 시간은 각각 168, 114, 60, 48 및 24시간이었다. 상기 조건에서 쇠고기의 품질변화는 본 실험에 사용한 3 종류의 C-type TTI(C-1, C-4, 및 C-7)의 반응 종말점들과 일치하지 않았다. TTI의 반응을 쇠고기의 품질변화에 일치시키기 위해 C-1 TTI로부터 효소와 기질 성분을 추출하여 Eppendorf tube에서 서로 다른 양으로 혼합하여 변형된 TTI를 구성하였다. 변형된 CM-1 TTI의 반응은 ${20^{\circ}C}$${25^{\circ}C}$에서 쇠고기의 품질변화와 매우 유사하였으나 다른 온도에서는 일치하지 않았다. 변형된 CM-2 TTI의 반응은 ${15^{\circ}C}$에서만 쇠고기의 품질변화와 일치하였다. 따라서 TTI를 특정한 식품의 품질변화 지시계로 사용하기 위해서는 식품의 부패와 TTI 반응에 대한 체계적인 kinetics 연구들이 필요할 것으로 보인다.

Keywords

Acknowledgement

Supported by : 농림수산식품부

References

  1. Agerhem H, Nilsson, HJ. 1981. Substrate composition and use thereof. US patent 4,284,719.
  2. Al-Masri MR, Al-Bachir M. 2007. Microbial load, acidity, lipid oxidation and volatile basic nitrogen of irradiated fish and meatbone meals. Bioresource Tech. 98: 1163-1166. https://doi.org/10.1016/j.biortech.2006.05.026
  3. Bin FU, Taoukis PS, Labuza TP. 1991. Predictive microbiology for monitoring spoilage of dairy products with time-temperature integrators. J. Food Sci. 56: 1209-1215. https://doi.org/10.1111/j.1365-2621.1991.tb04736.x
  4. Blixt KG, Tornmarck SIA, Juhlin R, Salenstedt KR, Tiru M. 1977. Enzymatic substrate composition adsorbed on a carrier. US patent 4,043,871.
  5. Brody AL. 2001. What's active about intelligent packaging? Food Technol. 5(6): 75-78.
  6. Byeon KE, An SR, Shim SD, Lee JY, Hong KW, Min SG, Lee SJ. 2009. Investigation on beef quality indicator of off-flavor development during storage. Korean J. Food Sci. Ani. Resour. 29: 325-333. https://doi.org/10.5851/kosfa.2009.29.3.325
  7. Chen JH, Zall RR. 1987. Packaged milk, cream and cottage cheese can be monitored for freshness using polymer indicator labels. Dairy Food Sanit. 7: 402-404.
  8. Claeys WL, Indrawati AM, Van L, Hendrickx ME. 2003. Review : Are intrinsic TTIs for thermally processed milk applicable for high-pressure processing assessment? Innov. Food Sci. Emerg. Tech. 4: 1-14. https://doi.org/10.1016/S1466-8564(02)00066-8
  9. Conway EJ. 1948. Microdiffusion analysis and volumetric error. Nature 161: 583
  10. Dolan KD, Singh RP, Wells JH. 1985. Evaluation of time-temperature related quality changes in ice cream during storage. J. Food Process. Pres. 9: 253-271. https://doi.org/10.1111/j.1745-4549.1985.tb00725.x
  11. Fields SC, Prusik T. 1983. Time-temperature monitoring using solid-state chemical indicators. IIR Commission C2 preprints, 16th Intl. Cong. Refrig. pp. 630-640.
  12. Giannakourou MC, Koutsoumanis K, Nychas GJ, Taoukis PS. 2005. Field evaluation of the application of time temperature integrators for monitoring fish quality in the chill chain. Int. J. Food Microbiol. 102: 323-336. https://doi.org/10.1016/j.ijfoodmicro.2004.11.037
  13. Giannakourou MC, Taoukis PS. 2002. Systematic application of time temperature integrators as tools for control of frozen vegetable quality. J. Food Sci. 67: 2221-2228. https://doi.org/10.1111/j.1365-2621.2002.tb09531.x
  14. Grisius R, Wells JH, Barrett EL, Singh RP. 1987. Correlation of time temperature indicator response with microbial growth in pasteurized milk. J. Food Process. Pres. 11: 309-324. https://doi.org/10.1111/j.1745-4549.1987.tb00057.x
  15. Guiavarc'h Y, Van LA, Zuber F, Hendrickx ME. 2004. Development characterization and use of a high-performance enzymatic time-temperature integrator for the control of sterilization process impacts. Biotechnol. Bioeng. 88: 15-25. https://doi.org/10.1002/bit.20183
  16. Kerry JP, O'Grady MN, Hogan SA. 2006. Past, current and potential utilization of active and intelligent packaging systems for meat and muscle-based products : A review. Meat Sci. 74: 113-130. https://doi.org/10.1016/j.meatsci.2006.04.024
  17. Kim YJ, Park YK, Kong UY. 1972. Studies on the preservation of raw beef by gamma radiation. Korean J. Food Sci. Technol. 4: 95-99.
  18. Ko MS, Yang JB. 2001. Effects of wrap and vacuum packaging on shelf life of chilled pork. Korean J. Food Nutr. 14: 255-262.
  19. KFDA. Food code. 2002. Korea Food and Drug Administration. Seoul, Korea, pp. 5-11-4.
  20. Labuza TP, Fu B. 1995. Use of time temperature integrators, predictive microbiology and related technologies for assessing the extent and impact of temperature abuse on meat and poultry products. J. Food Safety 15: 201-217. https://doi.org/10.1111/j.1745-4565.1995.tb00134.x
  21. Lee JM, Lee SJ. 2008. Kinetic modeling for predicting the qualities of beef and color of enzyme time-temperature integrator during storage. Food Eng. Prog. 12: 241-246.
  22. Manske WJ. 1983. The application of controlled fluid migration to temperature limit and time temperature integerators. IIR Commission C2 preprints, 16th Intl. Cong. Refrig. pp. 632-635.
  23. Mistry V, Kosikowski FV. 1983. Use of time-temperature indicators as quality control devices for market milk. J. Food Protect. 46: 52-57.
  24. Park KH, Yoon SH, Lee CH, Kim DY, Kim JW. 1994. Timetemperature indicator using phospholipid-phospholipase system and application to storage of frozen pork. J. Food Sci. 59: 490-493. https://doi.org/10.1111/j.1365-2621.1994.tb05544.x
  25. Rice J. 1989. Keeping time-temperature tabs on refrigerated foods. Food Processing 50: 149-158.
  26. Rodriguez N, Zaritzky NE. 1983. Development of time temperature integrator indicator for frozen beef. J. Food Sci. 48: 1526-1531. https://doi.org/10.1111/j.1365-2621.1983.tb03530.x
  27. Shellhammer TH, Singh RP. 1991. Monitoring chemical and microbial changes of cottage cheese using a full history timetemperature indicator. J. Food Sci. 56: 402-410 https://doi.org/10.1111/j.1365-2621.1991.tb05290.x
  28. Singh RP, Wells JH. 1985. Use of time-temperature indicators to monitor quality of frozen hamburger. Food Technol. 39(12): 42-50.
  29. Singh RP, Wells JH. 1987. Monitoring quality changes in stored frozen strawberries with time-temperature indicators. Int. J. Refrig. 10: 296-300. https://doi.org/10.1016/0140-7007(87)90074-0
  30. Taoukis PS. 2001. Modelling the use of time-temperature indica tors in distribution and stock rotation. In : Tijkskens LMM., Hertog MLATM, Nicolai BM (ed.), Food process modelling. CRC Press, Inc.,Washington DC, USA, pp. 402-432.
  31. Taoukis PS, Labuza TP. 1989a. Applicability of time temperature indicators as shelf life monitors of food products. J. Food Sci. 54: 783-788. https://doi.org/10.1111/j.1365-2621.1989.tb07882.x
  32. Taoukis PS, Labuza TP. 1989b. Reliability of time temperature indicators as food quality monitors under non isothermal conditions. J. Food Sci. 54: 789-792. https://doi.org/10.1111/j.1365-2621.1989.tb07883.x
  33. Taoukis PS, Koutsoumanis K, Nychas GJ. 1999. Use of timetemperature integrators and predictive modelling for shelf life control of chilled fish under dynamic storage conditions. Int. J. Food Microbiol. 53: 21-31. https://doi.org/10.1016/S0168-1605(99)00142-7
  34. Tinker JH, Slavin JW, Learson RJ, Empola VG. 1985. Evaluation of automated time-temperature monitoring system in measuring the freshness of chilled fish. IIF-IIR Commisssions C2, D3 4: 286-290.
  35. Tucker GS, Brown HM, Fryer PJ, Cox PW, Poole FL, Lee HS. 2007. A sterilisation time-temperature integrator based on amylase from the hyperthermophilic organism Pyrococcus furiosus. Innov. Food Sci. Emerg. Tech. 8: 63-72. https://doi.org/10.1016/j.ifset.2006.07.003