NDLI: Feasibility of Using Fourier Transform Infrared Spectroscopy Combined with Chemometrics for Determing the Total Flavonoid Contents in Rape Bee Pollen

Content Provider	IEEE Xplore Digital Library
Author	Ping Lin Yong-ming Chen Yong He
Copyright Year	2010
Abstract	The potential of Fourier transform infrared spectroscopy (FTIRS) combined with chemo metrics 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 wave number 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 wave number 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 ( ) and 0.883 for root mean square error of prediction (RMSEP) by KPLS model. It is concluded that Fourier transform infrared spectroscopy combined with chemo metrics has the potential to be used for fast determining the total flavonoids of rape bee pollen.
Starting Page	350
Ending Page	354
File Size	631433
Page Count	5
File Format	PDF
ISBN	9781424484324
DOI	10.1109/AICI.2010.311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spectroscopy Correlation Kernel partial least square Predictive models Calibration Direct orthogonal signal correction Absorption Total flavonoids Data models Fourier transform infrared spectroscopy Rape bee pollen Kernel Partial least squares
Content Type	Text
Resource Type	Article

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