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- W2365863695 abstract "Objective To explore a rapid analysis method for nutrient of silver carp through collecting near infrared spectroscopy and determining nutrient. Methods The near infrared(NIR) spectra of 254 silver carp samples were collected. The diffuse reflectance spectra of samples were performed with different spectral pretreatments, such as multiplicative scatter correction(MSC), orthogonal signal correction(OSC), and standardization(S). The near infrared quantitative analysis models were obtained by partial least square(PLS) regression, principal component analysis(PCA) combined with back propagation artificial neural network(BP-ANN), partial least square combined with back propagation artificial neural network with 1000~1799 nm, respectively. Results The results showed that the protein content of silver carp ranged from 12.05% to 19.05%, the fat content from 0.24% to 5.27%, the moisture content from 72.62% to 80.58%, and the ash content from 0.46% to 1.50%. The nutrient measured values met the modeling requirements. The analysis models obtained by PLS were the best. The correlation coefficients of the models were 0.9969, 0.9925, 0.9831 and 0.9976 for protein, fat, moisture and ash content, respectively. Conclusion The results indicated that the models exhibited an acceptable fitting accuracy and predictive ability of analysis of protein, fat, moisture and ash content of silver carp by NIRS." @default.
- W2365863695 created "2016-06-24" @default.
- W2365863695 creator A5061310924 @default.
- W2365863695 date "2014-01-01" @default.
- W2365863695 modified "2023-09-25" @default.
- W2365863695 title "Fast analysis on nutrient of silver carp based on near infrared spectroscopy" @default.
- W2365863695 hasPublicationYear "2014" @default.
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