Tea types classification with data fusion of UV–Vis, synchronous fluorescence and NIR spectroscopies and chemometric analysis
Anna Dankowska , Wojciech Kowalewski
AbstractThe potential of selected spectroscopicmethods - UV–Vis, synchronous fluorescence andNIR aswell a data fusion of themeasurements by these methods - for the classification of tea sampleswith respect to the production process was examined. Four classification methods - Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Regularized Discriminant Analysis (RDA) and Support Vector Machine (SVM) -were used to analyze spectroscopic data. PCA analysis was applied prior to classification methods to reducemultidimensionality of the data. Classification error rateswere used to evaluate the performance of thesemethods in the classification of tea samples. The results indicate that black, green,white, yellow, dark, and oolong teas,which are produced by differentmethods, are characterized by different UV–Vis, fluorescence, and NIR spectra. The lowest error rates in the calibration and validation data sets for individual spectroscopies and data fusionmodelswere obtained with the use of the QDA and SVM methods, and did not exceed 3.3% and 0.0%, respectively. The lowest classification error rates in the validation data sets for individual spectroscopies were obtained with the use of RDA (12,8%), SVM(6,7%), and QDA (2,7%), for the UV–Vis, SF, and NIR spectroscopies, respectively.NIR spectroscopy combined with QDA outperformed other individual spectroscopic methods. Very low classification errors in the validation data sets - below3% -were obtained for all the data fusion data sets (SF+UV–Vis, SF+NIR, NIR+UV–Vis combined with the SVM method). The results show that UV–Vis, fluorescence and near infrared spectroscopies may complement each other, giving lower errors for the classification of tea types.
|Journal series||Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, [Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy], ISSN 1386-1425, (N/A 100 pkt)|
|Publication size in sheets||0.5|
|Keywords in Polish||zafałszowania, herbata, metody spektroskopowe, metody chemometryczne, metody klasyfikacyjne|
|Keywords in English||adulteration, tea, spectroscopic methods, chemoemtic methods, classifcation methods|
|ASJC Classification||; ; ;|
|Score||= 100.0, 15-04-2020, ArticleFromJournal|
|Publication indicators||= 1; : 2017 = 1.104; : 2018 = 2.931 (2) - 2018=2.665 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.