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- W2394398031 abstract "A variant algorithm of hybrid linear analysis (HLA/XS) which mostly used in the quantitative analysis of pure components in mixture was first transferred and applied to the near infrared (NIR) determination of sugar content (not a content of pure component) of apples. Results showed that hybrid linear analysis (HLA/XS) produced more precise results than partial least square (PLS),though the optimal HLA/XS model (consisted of 18 principle factors) was more complicate than the optimal PLS model (11 principle factors). The HLA/XS model of sugar content developed from 28 calibration samples gave a very high correlation coefficient (r2) of 0.92509 in calibration set, with the standard error of calibration (SEC) of 0.40618; validated by the 11 prediction samples, the model produced a correlation coefficient (r2) of 0.87611, with a stand error of prediction (SEP) of 0.48480. Compared with the PLS model, HLA/XS decreased SEC and SEP by 2% and 3.9% respectively (the SEC and SEP of PLS model was 0.41473 and 0.50473, respectively). These results indicated that HLA/XS algorithm was completely applicable to quantitative analysis in the spectroscopy determination of integrated index of farm product quality such as sugar content of apples." @default.
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- W2394398031 date "2006-01-01" @default.
- W2394398031 modified "2023-09-27" @default.
- W2394398031 title "Building of Near infrared prediction model of applesugar content using hybrid linear analysis" @default.
- W2394398031 hasPublicationYear "2006" @default.
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