| Autor: |
WANG Wuli, MA Haile, LI Han, ZHANG Yong, XIA Hong |
| Předmět: |
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| Zdroj: |
Food & Machinery; 2024, Issue 9, p1-5, 5p |
| Abstrakt: |
Objective: For the residue of propolis after supercritical CO2 extraction, the content of flavonoids in the secondary extraction process was detected in real time. Methods Near-infrared spectroscopy was used to establish a quantitative analysis model by collecting the spectral information and the corresponding chemical values of flavonoids during the extraction process, which was used to detect the changesof flavonoids content in real time and to determine the end point of extraction. Results The Rc corrected correlation coefficient and RMSEC corrected root mean square error of the model constructed by the PLS partial least squares algorithm after normalization preprocessing were 0.999 1 and 0.044 5, respectively. The Rp prediction correlation coefficient and RMSEP (the root mean square prediction error) were 0.929 1 and 0.242 7 respectively, which showed that the in-situ monitoring of the model had good regression and prediction ability. Conclusion Near-infrared spectroscopy can be used to quickly and accurately monitor the flavonoid content in the extraction process of propolis residue, and realize real-time monitoring in situ. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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