科研之友
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摘要
The practical adulterations of herbal tea are usually performed by adding some marker components together with adulterants, or some exogenous adulterants containing the marker components. It is difficult to detect such adulterations by the traditional analytical methods focused on a few marker components. Therefore, Fourier-transform near-infrared (FT-NIR) spectroscopy was used to characterize the compositions and class models of authentic banlangen tea and to detect possible exogenous adulterants. Discrimination of two different species of banlangen tea was also performed using partial least squares discrimination analysis (PLSDA). The most accurate one-class partial least squares (OCPLS) model was obtained with standard normal variate (SNV) transformation. SNV-OCPLS could detect adulterations with 5% (w/w) or more dried apple skin in banlangen. For species discrimination, a total classification accuracy of 0.936 was achieved by SNV-PLSDA. FT-NIR spectrometry and chemometrics can provide a useful and alternative tool for rapid quality control of banlangen tea.
