Quantitative Analysis of Adulterations in Oat Flour by FT-NIR Spectroscopy, Incomplete Unbalanced Randomized Block Design, and Partial Least Squares
Joint Authors
Zhou, Bin
Yu, Zhuo
Zhang, Xingxiang
Wang, Ning
Li, Guodong
Source
Journal of Analytical Methods in Chemistry
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-20
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
This paper developed a rapid and nondestructive method for quantitative analysis of a cheaper adulterant (wheat flour) in oat flour by NIR spectroscopy and chemometrics.
Reflectance FT-NIR spectra in the range of 4000 to 12000 cm−1 of 300 oat flour objects adulterated with wheat flour were measured.
The doping levels of wheat flour ranged from 5% to 50% (w/w).
To ensure the generalization performance of the method, both the oat and the wheat flour samples were collected from different producing areas and an incomplete unbalanced randomized block (IURB) design was performed to include the significant variations that may be encountered in future samples.
Partial least squares regression (PLSR) was used to develop calibration models for predicting the levels of wheat flour.
Different preprocessing methods including smoothing, taking second-order derivative (D2), and standard normal variate (SNV) transformation were investigated to improve the model accuracy of PLS.
The root mean squared error of Monte Carlo cross-validation (RMSEMCCV) and root mean squared error of prediction (RMSEP) were 1.921 and 1.975 (%, w/w) by D2-PLS, respectively.
The results indicate that NIR and chemometrics can provide a rapid method for quantitative analysis of wheat flour in oat flour.
American Psychological Association (APA)
Wang, Ning& Zhang, Xingxiang& Yu, Zhuo& Li, Guodong& Zhou, Bin. 2014. Quantitative Analysis of Adulterations in Oat Flour by FT-NIR Spectroscopy, Incomplete Unbalanced Randomized Block Design, and Partial Least Squares. Journal of Analytical Methods in Chemistry،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-468615
Modern Language Association (MLA)
Wang, Ning…[et al.]. Quantitative Analysis of Adulterations in Oat Flour by FT-NIR Spectroscopy, Incomplete Unbalanced Randomized Block Design, and Partial Least Squares. Journal of Analytical Methods in Chemistry No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-468615
American Medical Association (AMA)
Wang, Ning& Zhang, Xingxiang& Yu, Zhuo& Li, Guodong& Zhou, Bin. Quantitative Analysis of Adulterations in Oat Flour by FT-NIR Spectroscopy, Incomplete Unbalanced Randomized Block Design, and Partial Least Squares. Journal of Analytical Methods in Chemistry. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-468615
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-468615