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PubMed · 12961864

[FTIR and classification study on trueborn tuber dioscoreae samples].

Su-qin Sun·Jun-ming Tang·Zi-min Yuan·Yan Bai
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Abstract

To identify the origin of tuber dioscoreae, 45 samples were studied by soft independent modeling of class analogy (SIMCA) in this paper. The combination of Fourier transform infrared spectroscopy (FTIR) with mathematic method was used to classify the trueborn and non-trueborn samples. The samples were chosen randomly as modeling group and predicting group. The correctness of classification was 70%. This approach was proved to be a reliable and practicable method for trueborn quality analysis of tuber dioscoreae.

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DioscoreaMathematicsPattern Recognition, AutomatedQuality ControlSensitivity and SpecificitySpectroscopy, Fourier Transform InfraredEnglish AbstractJournal ArticleResearch Support, Non-U.S. Gov't

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Su-qin Sun, Jun-ming Tang, Zi-min Yuan, Yan Bai. 2003. [FTIR and classification study on trueborn tuber dioscoreae samples].. https://pubmed.ncbi.nlm.nih.gov/12961864/

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