DocumentCode :
3400597
Title :
Feasibility of Using Fourier Transform Infrared Spectroscopy Combined with Chemometrics for Determing the Total Flavonoid Contents in Rape Bee Pollen
Author :
Lin, Ping ; Chen, Yong-Ming ; He, Yong
Author_Institution :
Coll. of Biosystems Eng. & Food Sci., Zhejiang Univ., Hangzhou, China
Volume :
3
fYear :
2010
fDate :
23-24 Oct. 2010
Firstpage :
350
Lastpage :
354
Abstract :
The potential of Fourier transform infrared spectroscopy (FTIRS) combined with chemometrics for its ability to fast determine the total flavonoids content of rape bee pollen was studied. A total of 25 rape bee pollen samples were investigated for FTIRS on the wavenumber between 7800 and 350 cm-1. Direct orthogonal signal correction (DOSC) was performed to preprocess the original spectra data. Partial least squares (PLS) and kernel partial least square (KPLS) analysis were performed on the preprocessed spectral data using full spectrum data and 15 sensitive wavenumber spectra data extracted by DOSC. The prediction results show that the PLS and KPLS regression methods can be successfully employed to predict total flavonoids in rape bee pollen, the best prediction statistical parameters were 0.892 for correlation coefficient (RP2) and 0.883 for root mean square error of prediction (RMSEP) by KPLS model. It is concluded that Fourier transform infrared spectroscopy combined with chemometrics has the potential to be used for fast determining the total flavonoids of rape bee pollen.
Keywords :
Fourier transform spectra; Fourier transform spectroscopy; biochemistry; chemical variables measurement; correlation methods; infrared spectra; infrared spectroscopy; least squares approximations; mean square error methods; molecular biophysics; proteins; regression analysis; spectral analysis; DOSC; FTIRS; Fourier transform infrared spectroscopy; KPLS analysis; KPLS regression method; PLS analysis; chemometrics; correlation coefficient; direct orthogonal signal correction; flavonoid content determination; kernel partial least square analysis; rape bee pollen; root mean square error method; statistical parameter; wavenumber spectra data extraction; Absorption; Calibration; Correlation; Data models; Kernel; Predictive models; Spectroscopy; Fourier transform infrared spectroscopy; direct orthogonal signal correction; kernel partial least square; partial least squares; rape bee pollen; total flavonoids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
Type :
conf
DOI :
10.1109/AICI.2010.311
Filename :
5655627
Link To Document :
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