Application of Principal Component Analysis to Characterize Post-mortem Quality Changes in Ice Stored Sea Bream (Sparus aurata, L.) and Bogue (Boops boops, L.) (CROSBI ID 576061)
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Podaci o odgovornosti
Bogdanović, Tanja ; Šimat, Vida
engleski
Application of Principal Component Analysis to Characterize Post-mortem Quality Changes in Ice Stored Sea Bream (Sparus aurata, L.) and Bogue (Boops boops, L.)
Although limited, the existing literature indicates the significant difference in sensory and quality parameters of wild and farmed fish samples of the same species. Post-mortem quality changes of sea bream and bogue samples stored in ice were investigated by sensory (raw and cooked), physical (pH, dielectric properties) and chemical (lipid oxidation, volatile amines, proximate composition) analyses. Principal component analysis (PCA) was applied to study the relationships between the applied variables during quality changes of farmed and wild sea bream and two “type” of bogues samples: samples aggregated around fish farm cages and natural control population. The PCA analyses showed distinct separation of wild and farmed/farm affected samples, placing the two sets of data opposite to each other. The proportion of variance accounted for by the first two principal components was 90.63 in sea bream and 90.35% in bogue samples. Variations in storage time, sensory and chemical assessment were described by PC1, whereas variations in catching ground and proximate composition by PC2 in all investigated samples. Sensory evaluation, TBA index and volatile amine content of bogue samples showed high correlation with storage time ; fat and moisture content, together with physical properties underwent the influence of the catching ground. Similar results were determined for sea bream, with exception for physical properties that showed higher correlation with the storage time in ice. Highest correlation with PC1 (>50 % of overall variance) were observed for sensory assessment (>0.92) in both fish groups. Spoilage evolution over time given as the sum of all demerit points showed higher correlation then single parameters itself, indicating that the individual parameters could not replace the usage of QIM scoring scheme in sensory assessment. PCA analyses were found useful in separating of wild and farmed/farm affected fish samples, thus distinguishing two different catching grounds.
Principal component analysis; Sensory assessment; Quality control; Sea bream; Bogue
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Podaci o prilogu
2011.
objavljeno
Podaci o matičnoj publikaciji
Medić, Helga
978-953-99725-3-8
Podaci o skupu
poster
20.09.2011-23.09.2011
Opatija, Hrvatska