DOI QR코드

DOI QR Code

Development of a Time-temperature Indicator for Managing the Distribution Temperature of Frozen Mackerel Scomber japonicus

냉동 고등어(Scomber japonicus)의 유통 온도 관리를 위한 Time-temperature Indicator 개발

  • Received : 2018.10.01
  • Accepted : 2018.10.16
  • Published : 2018.10.31

Abstract

We developed a time-temperature indicator (TTI) that rapidly determines whether frozen mackerel Scomber japonicus has thawed during its distribution. Our TTI was made from filter paper capable of absorbing mackerel exudate that was soaked in a 20% citric acid solution at pH 4.0 and then dried. The dried absorbent paper was cut and attached to blue litmus paper with a 2 mm overhang. The fixed litmus paper was covered with a polypropylene film and sealed. The indicator was placed inside a polyvinyl vacuum package containing the mackerel sample. The vacuum-sealed packaged was frozen at $-20^{\circ}C$ for 24 h. After freezing, the color change and time dependence of the indicator were observed at room temperature ($25^{\circ}C$) and demonstrated the utility of this TTI for rapidly determining whether frozen mackerel underwent thawing during distribution.

Keywords

References

  1. Endoza TFM, Welt BA, Otwell S, Teixeira AA, Kristonsson H and Balaban MO. 2004. Kinetic parameter estimation of time-temperature integrators intended for use with packaged fresh seafood. J Food Sci 69, FMS90-FMS96. http://doi.org/10.1111/j.1365-2621.2004.tb13377.
  2. Fu B, Taoukis PS and 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.
  3. Giannakourou MC, Koutsoumanis K, Nychas GJE and 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.
  4. Guiavarc’h Y, Van Loey A, Zuber F and Hendrickx M. 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.
  5. Her JY, Lee SM, Kim SW and Lee KG. 2010. Smart packaging technology: time-temperature indicator and freshness indicator. Food Sci Indus 43, 2-13.
  6. Jang MK, Hong CW, Choi JH, Kim KBWR, Choi JW, Nam TJ and Ahn DH. 2018. A time-temperature indicator for a vision based-detection system for managing the storage temperature of frozen fish products. Korean J Fish Aquat Sci 51, 91-94. https://doi.org/10.5657/KFAS.2018.0091.
  7. Kang JW, Choi JH, Park SY, Kim MJ, Kim MJ, Lee MH, Jung SW and Lee SJ. 2014. Mathematical analysis on TTI’s estimation accuracy of food shelf life depending on its discrepancy in temperature dependence. Korean J Packag Sci Tech 20, 85-89.
  8. MFDS (Ministry of Food and Drug Safety). 2018. Korean food standards codex. Retrieved from http://www.foodsafetykorea. go.kr/foodcode/03_01.jsp on Sep 17, 2018.
  9. Nuin M, Alfaro B, Cruz Z, Argarate N, George S, Le Marc Y, Olley J and Pin C. 2008. Modelling spoilage of fresh turbot and evaluation of a time-temperature integrator (TTI) label fluctuating temperature. Int J Food Microbiol 127, 193-199. https://doi.org/10.1016/j.ijfoodmicro.2008.01.010.
  10. Park HS and Ko DS. 2016. A study on analysis of internet of things hardware for real time monitoring of cold chain logistics. J KIIT 14, 227-235. https://doi.org/10.14801/jkiit.2016.14.3.227.
  11. Park SY, Kang JW, Choi JH, Kim MJ, Lee MH, Jung SW and Lee SJ. 2014. Monitoring of chilled fish quality by using time-temperature integrator (TTI): Application at a mock store. Korean J Packag Sci Tech 20, 91-96.
  12. Rokka M, Eorola S, Smolander M, Alakomi HL and Ahvenainen R. 2004. Monitoring of the quality of modified atmosphere packaged broiler chicken cuts stored in different temperature conditions. Food Control 15, 601-607. https://doi.org/10.1016/j.foodcont.2003.10.002.
  13. Ryou OY, Kang YS, Jin HJ and Lee YH. 2015. DEVS-Based simulation model for optimization of sensor-tag operations in cold chain systems. J Korean Inst Ind Eng 41, 173-184. https://doi.org/10.7232/JKIE.2015.41.2.173.
  14. Tsironi T, Dermesonlouoglou E, Giannakourou M and Taoukis P. 2009. Shelf life modelling of frozen shrimp at variable temperature conditions. LWT-Food Sci Technol 42, 664-671. https://doi.org/10.1016/j.lwt.2008.07.010.
  15. Yoo MY, Kim KH, Lee JW and Yang JY. 2003. Study on manufacture of enzyme biosensor for fishery freshness. Food Indus Nutr 8, 28-33.