DocumentCode :
1888622
Title :
Prediction of the Alkalinity in the Feed Liquid of Processing Preserved-Eggs Using Near Infrared Spectroscopy
Author :
Zhu Zhihui ; Hou Pengfei ; Xiong Lirong ; Ma Meihu
Author_Institution :
Coll. of Eng., Huazhong Agric. Univ., Wuhan, China
fYear :
2013
fDate :
16-17 Jan. 2013
Firstpage :
818
Lastpage :
820
Abstract :
Near-infrared spectroscopy was used for prediction of the alkalinity in the feed liquid of processing preserved-eggs. Using the techniques of partial least square (PLS), principal component regression (PCR) and stepwise multiple linear regression (SMLR), three NIRS-based models for estimating the alkalinity were established. According to the standards of coefficient of determination (R2), root mean square error of calibration (RMSEC) and root mean square error (RMSEP), a best calibration model of PCR was achieved for the prediction of the alkalinity in the feed liquid of processing preserved-eggs. R2=0.93478, RMSEC=0.0101 and RMSEP=0.0126 by PCR, and a satisfying prediction precision was achieved. The results indicated that near infrared spectroscopy could be successfully applied for the prediction of the alkalinity in the feed liquid of processing preserved-eggs and PCR model could achieve a best prediction results.
Keywords :
food preservation; food products; infrared spectra; least mean squares methods; principal component analysis; regression analysis; PCR calibration model; PCR technique; PLS technique; RMSEC; RMSEP; SMLR technique; alkalinity prediction; coefficient-of-determination; feed liquid; near infrared spectroscopy; partial least square technique; preserved-eggs processing; principal component regression technique; root mean square error; root mean square error-of-calibration; stepwise multiple linear regression technique; Calibration; Educational institutions; Feeds; Liquids; Predictive models; Root mean square; Spectroscopy; Near infrared spectroscopy; PCR; Prediction of the alkalinity; The feed liquid of processing preserved-eggs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5652-7
Type :
conf
DOI :
10.1109/ICMTMA.2013.204
Filename :
6493855
Link To Document :
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