Open AccessEvaluation indicators of Ruditapes philippinarum nutritional quality
Author(s) -
Lipin Chen,
Fanqianhui Yu,
Siyuan Sun,
Xiangyu Liu,
Zhongkai Sun,
Wanxiu Cao,
Liu Sheng-Nan,
Zhaojie Li,
Changhu Xue
Publication year - 2020
Publication title -
journal of food science and technology/journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.656
H-Index - 68
eISSN - 0975-8402
pISSN - 0022-1155
DOI - 10.1007/s13197-020-04796-6
Subject(s) - ruditapes , principal component analysis , statistics , quality (philosophy) , mathematics , biology , fishery , philosophy , epistemology
To access the nutritional quality of the Ruditapes philippinarum , a comprehensive quality evaluation procedure is always important to be established. In this study, fifteen nutritional quality evaluation indicators of R. philippinarum from 7 months were analyzed, and the most important indicators were determined using a combination of multiple chemometric methods such as correlation analysis (CA), principal component analysis (PCA), and system cluster analysis (SCA). Significant differences in nutritional quality were observed across the 7 months, as per the ANOVA results ( P < 0.05). The coefficient of variation values for the fifteen evaluation indicators for R. philippinarum across 7 months was 1.67-43.47%. The CA results revealed that some indicators were correlated to each other within a certain range. Four principal components with eigen-values > 1 were obtained with PCA, and a cumulative contribution of 92.11% was achieved. In addition, four essential quality indicators were extracted using SCA. Using these four indicators, a simple and efficient procedure can be applied for quality control in aquaculture.