Rapid identification and quantification of adulteration in Dendrobium officinale using nuclear magnetic resonance spectroscopy combined with least-squares support vector machine

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Dendrobium officinale (D. officinale) is commonly used as a functional food or herbal medicine worldwide, but often adulterated with low-priced materials. In this study, we attempted to develop an integrated method of least-squares support vector machine and nuclear magnetic resonance spectroscopy (LS-SVM-NMR) to identify and quantify the adulteration of D. officinale powder. We found that LS-SVM-NMR can identify the adulterated D. officinale powder with an overall accuracy of 100% and quantify its purity with an R2 of 0.999 and RMSE of 1.410 at model validation phase. In addition, our results from the double-blinded test revealed that LS-SVM-NMR can yield a classification accuracy of 98% for distinguishing the adulterated D. officinale powder, and predict its purity with an R2 of 0.998 and RMSE of 2.660. Moreover, adulteration evaluation reports can be obtained in 10 min. Therefore, LS-SVM-NMR proposed herein could be used as a promising and time-saving tool for the quality evaluation of D. officinale or even other food products.

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Journal of Food Measurement and Characterization

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