Abstract
Background: Quality monitoring and/or assessment are parts of a freshness/quality
control system, which is of utmost importance for fresh seafood, especially Scombridae fish.
The quality index method (QIM) is a simple, convenient, unique, and reliable tool to determine
the sensory status and estimate the remaining shelf life of aqua products.
Objective: This study aimed to develop a QIM scheme for chilled stored yellowfin tuna and
apply the protocol in the fish quality evaluation and storage time estimation.
Method: Eight gutted yellowfin tuna of 20, 30, and 40 kg up were used in the study. Five panelists
participated in the QIM development, training and application. Control and/or validation
analyses were sensory assessment by a control sheet, total volatile basic nitrogen (TVB-N)
quantification, and total viable count (TVC) determination. Chilled storage of tuna was performed
in liquid ice and traditional crushed block ice. Partial least square regression (PLS-R)
was conducted on quality index (QI) dataset over storage time to find the regression line and
prediction accuracy.
Results: The established QIM protocol for gutted yellowfin tuna comprised 6 attributes (namely,
color of whole fish, odor of whole fish and flesh, eyes, appearance of whole fish, flesh color
and flesh texture) and a maximal QI of 15. The PLS-R showed that QI could be used to estimate
the remaining time with a precision of ± 2.0 and 1.4 days for fish stored in slurry ice and
crushed ice, respectively. The TVB-N content in the fish flesh maintained below the acceptable
level of 25 mg N/100 g throughout the storage period, which made the parameter impractical to
detect the fish shelf life. The TVC overreached the allowable level of 107 CFU/g around the
time of fish rejection by the sensory method.
Conclusion: The developed QIM scheme for yellowfin tuna showed to be more advantageous
in detecting fish quality changes compared to the control sensory method and could be used to
estimate the fish's remaining shelf life.
Keywords:
Chilled storage, liquid ice, quality index method, sensory, storage time prediction, yellowfin tuna.
Graphical Abstract
[5]
Bremner A. A convenient easy to use system for estimating the quality of chilled seafood. In: Scott DN, Summers CN, Bremner A, Eds. Proceedings of the fish processing conference New Zealand 1985. 23-5. April 1985.
[12]
Mai NTT. Development of a Quality Index Scheme for Sensory Evaluation of Chill-stored Pangasius hypophthalmus Fillets. Chye FY, Lee JS, Siew CK, Noorakmar AW, Rosl M, Eds. Traditional resources: Scientific approaches towards quality foods Proceedings of International Conference on Food Science and Nutrition 2012 (ICFSN 2012). 2-4 April 2012; Kota Kinabalu, Sabah, Malaysia. 2012; pp. 819-29.
[13]
Mai NTT. Application of quality index method for freshness evaluation of chilled-stored farmed cobia (Rachycentron canadum) portions. Proceedings of SPISE2014 Summer Program in Sensory Evaluation 2014.
[15]
EC.Commission Regulation (EC) No 2074/2005 of 5 December 2005, Annex II, Section II, Chapter III Determination of the concentration of TVB-N in fish and fishery products. In: 2005; pp. 37-9.
[16]
MARD Fish and fishery products - Determination of total volatile basic nitrogen content. Ministry of Science and Technology of Vietnam 2012; p. 4.
[18]
Van Spreekens KJA. The suitability of a modification of long and Hammef’s medium for the enumeration of more fastidious bacteria from fresh fishery products Arch fir Leb 1974; 25: 213-9.
[21]
Okeyo GO. Development of a quality index method (QIM) scheme to evaluate freshness of ice stored Lake Victoria Nile perch (Lates niloticus). Egerton University 2009.
[22]
Mai NTT, Nguyen DTK. Modification of quality index method scheme for nile tilapia fillets and application in quality assessment of the product stored at low temperatures. Pertanika J Sci Technol 2019; 27(S1): 137-47.
[30]
Mai NTT, Martinsdóttir E, Sveinsdóttir K, Olafsdóttir G, Arason S. Application of quality index method, texture measurements and electronic nose to assess the freshness of Atlantic herring (Clupea harengus) stored in ice. World Acad Sci Eng Technol 2009; 57: 283-9.
[37]
Olafsdottir G. Directive 95/149/EC. Commission Decision of 8 March 1995 fixing the total volatile basic nitrogen (TVB-N) limit values for certain categories of fishery products and specifying the analysis methods to be used. Off J Eur Communities. 1995; 97: 84-7.
[39]
Pathmandra WAM, Jinadasa BKKK, Jayawardena BC, Himali SMC. J.K. Vidanarachchi. Application of Quality Index Method, TMA, Histamine and TVB-N to evaluate the quality of Katsuwonus pelamis stored in ice. Proceedings of the National Aquatic Resources Research and Development Agency (NARA), Scientific Sessions. Sri Lanka. 2015.
[41]
Maier RM. Bacterial Growth.Environmental microbiology. USA: Academic Press. Inc. 2008; pp. 37-54.
[42]
ICMSF. 2. Sampling for microbiological analysis: Principles and specific applications. In: Microorganisms in Foods. 2nd ed. Blackwell Scientific Publications: ICMSF (International Commission on Microbial Specifications for Foods) In: 1986.
[44]
Hansamali L, Ranatunga RRMKP, Buddhinie P, Ashoka P. Determination of shelf life of yellowfin tuna (Thunnus albacares) with regard to microbial count, histamine level and flesh colour. Sri Lanka J Aquat Sci 2019; 25(1): 1-8.