2-DE combined with two-layer feature selection accurately establishes the origin of oolong tea.
Taiwan is known for its high quality oolong tea. Because of high consumer demand, some tea manufactures mix lower quality leaves with genuine Taiwan oolong tea in order to increase profits. Robust scientific methods are, therefore, needed to verify the origin and quality of tea leaves. In this study, we investigated whether two-dimensional gel electrophoresis (2-DE) and nanoscale liquid chromatography/tandem mass spectroscopy (nano-LC/MS/MS) coupled with a two-layer feature selection mechanism comprising information gain attribute evaluation (IGAE) and support vector machine feature selection (SVM-FS) are useful in identifying characteristic proteins that can be used as markers of the original source of oolong tea. Samples in this study included oolong tea leaves from 23 different sources. We found that our method had an accuracy of 95.5% in correctly identifying the origin of the leaves. Overall, our method is a novel approach for determining the origin of oolong tea leaves.
Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan.
Han-Ju
HJ
Chien
Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 40227, Taiwan.
Yen-Wei
YW
Chu
Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 40227, Taiwan.
Chi-Wei
CW
Chen
Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan.
Yu-Min
YM
Juang
Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan.
Min-Wei
MW
Chien
Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan.
Chih-Wei
CW
Liu
Tea Research and Extension Station, Taoyuan 32655, Taiwan.
Chia-Chang
CC
Wu
Graduate Institute of Biotechnology, National Chung Hsing University, Taichung 40227, Taiwan.
Jason T C
JT
Tzen
Institute of Molecular Biology, National Chung Hsing University, Taichung 40227, Taiwan; Graduate Institute of Chinese Medical Science, China Medical University, Taichung 40447, Taiwan. Electronic address: lailai@dragon.nchu.edu.tw.
Chien-Chen
CC
Lai
D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods* / Q000592:standards; D018515:Plant Leaves / Q000737:chemistry* / Q000235:genetics; D040901:Proteomics / Q000379:methods*; D013624:Taiwan; D053719:Tandem Mass Spectrometry / Q000379:methods; D013662:Tea / Q000737:chemistry* / Q000235:genetics
D013662:Tea
Feature selection; Gel-based proteomics; LC–MS/MS; Machine learning; Oolong tea; Support vector machine