Quality Evaluation Modeling of Dried Shark Fin Products Based on Principal Component Analysis
Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials
Abstract:
The δ13C value, δ15N value, and contents of 23 metal elements and 17 amino acids in 13 dried shark fin products were determined by elemental analysis-isotope ratio mass spectrometry (EA-IRMS), inductively coupled plasma-mass spectrometry (ICP-MS) and automatic amino acid analysis. A total of 15 indexes, including δ13C value, δ15N value, aspartic acid (ASP), threonine (THR), proline (PRO), leucine (LEU), lysine (LYS), Mg, Ca, Cr, Mn, Fe, Cu, Zn and Ba, were selected to establish a quality evaluation model for dried shark fin products by the principal component analysis method. For this model, five eigenvalues (λ1 = 3.793, λ2 = 3.626, λ3 = 2.290, λ4 = 1.662, λ5 = 1.281) greater than 1 were obtained. The first five common factors were extracted from SPSS and their variance contribution rate reached 84.343%, indicating the quality of dried shark fin products can be adequately reflected by the selected first five factors. The quality of 51 dried shark fin products was evaluated by the established model. The results showed that the comprehensive scores of genuine dried shark fin samples ranged from 71.9498 to 564.9416, while those of fake and artificial dried shark fins ranged from 607.9568 to 644.1284 and 648.014 to 798.5972, respectively. Therefore, the quality evaluation model established in this study can rapidly and effectively assess the quality of dried shark fin products.
