Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10539189 | Food Chemistry | 2011 | 5 Pages |
Abstract
The use of fibre optic diffuse reflectance near infrared spectroscopy (NIR) in combination with chemometric techniques has been investigated to discriminate authenticity of honey. NIR spectra of unadulterated honey and adulterated honey samples with high fructose corn syrup were registered within 10,000-4000Â cmâ1 spectral region. Discriminant partial least squares (DPLS) models were constructed to distinguish between unadulterated honey and adulterated honey samples and main bands responsible for the discrimination of samples are in the range of 6000-10,000Â cmâ1. For these models, the correct classification rate for calibration samples were above 90%. Hundred percentage of unadulterated honey and 95% of adulterated honey samples from test set were correctly classified after appropriate preprocessing of first derivative, 13 smoothing points, followed by mean centering pre-treatment and eight model factors, respectively. Our results showed that NIR spectroscopy data with chemometrics techniques can be applied to rapid detecting honey adulteration with high fructose corn syrup.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Lanzhen Chen, Xiaofeng Xue, Zhihua Ye, Jinghui Zhou, Fang Chen, Jing Zhao,