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Open AccessArticle

Freshness Assessment and Shelf-Life Prediction for Seriola dumerili from Aquaculture Based on the Quality Index Method

1
CQM– Centro Química da Madeira, University of Madeira, Campus Universitário da Penteada, 9000-039 Funchal, Portugal
2
ICBAS – Abel Salazar Institute for the Biomedical Sciences, University of Porto, R. Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
3
CIIMAR – Interdisciplinary Centre of Marine and Environmental Research, Terminal de Cruzeiros de Leixões, Av. General Norton de Matos, S/N, 4450-208 Matosinhos, Portugal
4
Faculty of Exact Sciences and Engineering, University of Madeira, Campus Universitário da Penteada, 9000-039 Funchal, Portugal
*
Author to whom correspondence should be addressed.
Molecules 2019, 24(19), 3530; https://doi.org/10.3390/molecules24193530
Received: 19 September 2019 / Revised: 27 September 2019 / Accepted: 28 September 2019 / Published: 29 September 2019
(This article belongs to the Special Issue Exploring the OMICS Platforms in Food Analysis)
Fish and fish-based products are easily perishable foods due to different factors, including fragile organization, abundant endo-enzymes, psychrophilic bacteria, and impact of pre-harvest operations, that contribute to reducing its value. Therefore, a timely effective method for fish freshness and shelf-life evaluation is important. In this context, this study aimed to develop a sensory scheme based on the Quality Index Method (QIM) (sensory table and point system) for freshness monitorization and shelf-life prediction for Seriola dumerili from aquaculture in Madeira Island. Evaluation of appearance, texture, eyes, and gills was performed during 20 days of storage on ice (0 ± 1 °C). The shelf-life prediction was supported by the analysis of microorganisms (total viable colonies, TVC, counts), texture (Torrymeter), and production of trimethylamine (TMA), evaluated by HS-SPME–GC–MS and validated according to Association of Official Analytical Chemists AOAC guidelines. The result is a QIM scheme with 25 demerit points, where zero indicates total freshness. From the integration of sensory analysis, microbial growth at the time of rejection (TVC, 108 cfu/cm2 and H2S producers, 107 cfu/cm2), texture (Torrymeter value < 8), and TMA analyses (>12.5 mg/100 g), shelf-life was estimated as 12 days (±0.5 days). The obtained results show the high-throughput potential of the developed method for fish freshness assessment and shelf-life prediction. This QIM scheme is a secure way to measure quality and provide users with a reliable standardized fish freshness measure. View Full-Text
Keywords: Greater amberjack; Seriola dumerili; freshness; shelf-life; QIM; sensory analysis; physicochemical analysis; microbial analysis Greater amberjack; Seriola dumerili; freshness; shelf-life; QIM; sensory analysis; physicochemical analysis; microbial analysis
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MDPI and ACS Style

Freitas, J.; Vaz-Pires, P.; Câmara, J.S. Freshness Assessment and Shelf-Life Prediction for Seriola dumerili from Aquaculture Based on the Quality Index Method. Molecules 2019, 24, 3530. https://doi.org/10.3390/molecules24193530

AMA Style

Freitas J, Vaz-Pires P, Câmara JS. Freshness Assessment and Shelf-Life Prediction for Seriola dumerili from Aquaculture Based on the Quality Index Method. Molecules. 2019; 24(19):3530. https://doi.org/10.3390/molecules24193530

Chicago/Turabian Style

Freitas, Jorge; Vaz-Pires, Paulo; Câmara, José S. 2019. "Freshness Assessment and Shelf-Life Prediction for Seriola dumerili from Aquaculture Based on the Quality Index Method" Molecules 24, no. 19: 3530. https://doi.org/10.3390/molecules24193530

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