DOI QR코드

DOI QR Code

A Time-temperature Indicator for A Vision Based-Detection System for Managing the Storage Temperature of Frozen Fish Products

냉동 수산물의 저장 온도 관리를 위한 Time-temperature Indicator와 비전 기반 Indicator 분석 프로그램 개발

  • Received : 2017.12.05
  • Accepted : 2018.02.13
  • Published : 2018.02.28

Abstract

We develop a time-temperature indicator (TTI) that can determine whether thawing of fish and other fishery products has occurred during frozen storage. A polypropylene tube with an internal diameter of 3 mm was prepared and cut to a length of 14 to 20 mm. One end of the tube was thermally sealed and 0.1% acetic acid was injected into the other end; the tube was then frozen at $20^{\circ}C$. Then the open side of the frozen tube was blocked by sinking the tube into a 10% gelatin solution. The tube was attached to a polyvinyl packaging bag along blue litmus paper and the bag was put into a freezer at $-20^{\circ}C$. After freezing, the bag was removed to an ambient temperature of $20^{\circ}C$, and the time dependence of the color change of the litmus paper was observed. The color changed from blue to red, with the length of the red region increasing with time. Our TTI can be used as a part of a visible detection system and the detection program can conduct the elapsed time analysis on the length of the red region of the litmus paper indicating the degree of thawing. Thus, the TTI is a useful tool in the temperature management of frozen fish and fishery products.

Keywords

References

  1. An DJ and Yoo SS. 1999. Application of time-temperature indicators for cooling and frozen food storage and distribution. Korean J Packaging Sci Technol 5, 25-29.
  2. 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. https://dx.doi.org/10.1111/j.1365-2621.2004.tb13377.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://dx.doi.org/10.1016/j.ijfoodmicro.2004.11.037.
  4. Kang JW, Choi JH, Park SY, Kim MJ, Kim MJ, Lee MH, Jung WJ and Lee SJ. 2014. Mathmatical anlysis on TTI's estimation accuracy of food shelf life depending on its discrepancy in temperature dependence. Korean J Packag Sci Tech 20, 85-89.
  5. Lee SH and Jo HY. 2011. Agriculture Forestry and Fisheries Quality Management, distribution method R&D Trends and Implications. Korea Institute of Science & Technology Evaluation and Planning. Seoul, Korea. Retrived from http://www.kistep.re.kr/c3/sub3.jsp on Oct 20, 2017.
  6. 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:// dx.doi.org/10.1016/j.ijfoodmicro.2008.04.010.
  7. Pacquit A, Crowley K and Diamond D. 2008. Smart packaging technologies for fish and seafood products. In: Smart Packaging Technologies for Fast Moving Consumer Goods. Kerry J and Butler P, eds. Jon Wily & Sons Ltd., Chichester, England, 75-96.
  8. 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 Packaging Sci Technol 20, 91-96.
  9. 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://dx.doi.org/10. 1016/j.lwt.2008.07.010. https://doi.org/10.1016/j.lwt.2008.07.010