By Topic

A quantification method of glucose in aqueous solution by FTIR/ATR spectroscopy

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Jiemei Chen ; Department of Biological Engineering, Jinan University, Guangzhou 510632, China ; Lingling Wu ; Tao Pan ; Jun Xie
more authors

A rapid quantitative analysis method of glucose in aqueous solution was established by using the FTIR/ATR spectroscopy, partial least squares (PLS) regression and Savitzky-Golay (SG) smoothing method. Based on the prediction effect of the optimal single wavenumber model, calibration set and prediction set were divided. By extending the number of smoothing points and the degree of polynomial, 483 smooth modes were calculated. The PLS models corresponding to all combinations of 483 SG smoothing modes and 1-40 PLS factor were established respectively. The optimal smoothing parameters were the first order derivative smoothing, 5 or 6 degree polynomial, 63 smoothing points, the optimal PLS factor, root mean squared error of predication (RMSEP), correlation coefficient of predication (RP) and relative root mean squared error of predication (RRMSEP) were 3, 0.3729 (mmol/L), 0.9995 and 2.48% respectively, which was obviously superior to the direct PLS model without SG smoothing and the optimal SG smoothing model within 25 smoothing points (the original smoothing method). This demonstrates that the extending of SG smoothing modes and large-scale simultaneous optimization selection of SG smoothing parameters and PLS factor was all very necessary, and can be effectively applied to the model optimization of FTIR/ATR spectroscopy analysis.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on  (Volume:5 )

Date of Conference:

10-12 Aug. 2010