Physico-chemical, colorimetric, rheological parameters and chemometric discrimination of the origin of Mugil cephalus ' roes during the manufacturing process of Bottarga
Articolo
Data di Pubblicazione:
2018
Citazione:
Physico-chemical, colorimetric, rheological parameters and chemometric discrimination of the origin of Mugil cephalus ' roes during the manufacturing process of Bottarga / Caredda, Marco; Addis, Margherita; Pes, Massimo; Fois, Nicola; Sanna, Gabriele; Piredda, Giovanni; Sanna, Gavino. - In: FOOD RESEARCH INTERNATIONAL. - ISSN 0963-9969. - 108:(2018), pp. 128-135. [10.1016/j.foodres.2018.03.039]
Abstract:
The aim of this work was to measure the physico-chemical and the colorimetric parameters of ovaries from Mugil
cephalus caught in the Tortolì lagoon (South-East coast of Sardinia) along the steps of the manufacturing process
of Bottarga, together with the rheological parameters of the final product. A lowering of all CIELab coordinates
(lightness, redness and yellowness) was observed during the manufacture process. All CIELab parameters were
used to build a Linear Discriminant Analysis (LDA) predictive model able to determine in real time if the roes had
been subdued to a freezing process, with a success in prediction of 100%. This model could be used to identify
the origin of the roes, since only the imported ones are frozen. The major changes of all the studied parameters
(p < 0.05) were noted in the drying step rather than in the salting step. After processing, Bottarga was characterized
by a pH value of 5.46 (CV=2.8) and a moisture content of 25% (CV=8), whereas the typical per cent
amounts of proteins, fat and NaCl, calculated as a percentage on the dried weight, were 56 (CV=2), 34
(CV=3) and 3.6 (CV=17), respectively. The physical chemical changes of the roes during the manufacturing
process were consistent for moisture, which decreased by 28%, whereas the protein and the fat contents on the
dried weight got respectively lower of 3% and 2%. NaCl content increased by 3.1%. Principal Component
Analyses (PCA) were also performed on all data to establish trends and relationships among all parameters.
Hardness and consistency of Bottarga were negatively correlated with the moisture content (r=−0.87 and
r=−0.88, respectively), while its adhesiveness was negatively correlated with the fat content (r=−0.68).
cephalus caught in the Tortolì lagoon (South-East coast of Sardinia) along the steps of the manufacturing process
of Bottarga, together with the rheological parameters of the final product. A lowering of all CIELab coordinates
(lightness, redness and yellowness) was observed during the manufacture process. All CIELab parameters were
used to build a Linear Discriminant Analysis (LDA) predictive model able to determine in real time if the roes had
been subdued to a freezing process, with a success in prediction of 100%. This model could be used to identify
the origin of the roes, since only the imported ones are frozen. The major changes of all the studied parameters
(p < 0.05) were noted in the drying step rather than in the salting step. After processing, Bottarga was characterized
by a pH value of 5.46 (CV=2.8) and a moisture content of 25% (CV=8), whereas the typical per cent
amounts of proteins, fat and NaCl, calculated as a percentage on the dried weight, were 56 (CV=2), 34
(CV=3) and 3.6 (CV=17), respectively. The physical chemical changes of the roes during the manufacturing
process were consistent for moisture, which decreased by 28%, whereas the protein and the fat contents on the
dried weight got respectively lower of 3% and 2%. NaCl content increased by 3.1%. Principal Component
Analyses (PCA) were also performed on all data to establish trends and relationships among all parameters.
Hardness and consistency of Bottarga were negatively correlated with the moisture content (r=−0.87 and
r=−0.88, respectively), while its adhesiveness was negatively correlated with the fat content (r=−0.68).
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Mullet roes
Physico-chemical characterization
Principal component analysis
Linear discriminant analysis
Penetrometry test
CIELab coordinates
Elenco autori:
Caredda, Marco; Addis, Margherita; Pes, Massimo; Fois, Nicola; Sanna, Gabriele; Piredda, Giovanni; Sanna, Gavino
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