Data Fusion of Fourier Transform Mid-Infrared (MIR) and Near-Infrared (NIR) Spectroscopies to Identify Geographical Origin of Wild Paris polyphylla var. yunnanensis

• Published in: Molecules (Basel, Switzerland) Vol. 24; no. 14; p. 2559
• Main Authors: Pei, Yi-Fei, Zuo, Zhi-Tian, Zhang, Qing-Zhi, Wang, Yuan-Zhong
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 13.07.2019; MDPI
• Subjects: Accuracy; Algorithms; Chromatography; Classification; Cluster analysis; data fusion; Data integration; Databases, Factual; Datasets; Discriminant analysis; Fourier analysis; Fourier transform mid-infrared spectroscopy; Fourier transforms; Herbal medicine; I.R. radiation; Infrared spectroscopy; Materials traceability; Mean square errors; Melanthiaceae - chemistry; Melanthiaceae - classification; Models, Theoretical; Near infrared radiation; near-infrared spectroscopy; origin traceability; Paris polyphylla var. yunnanensis; Principal components analysis; Reproducibility of Results; Spectroscopy, Fourier Transform Infrared - methods; Vibration; China; Yunnan China; data fusion; Fourier transform mid-infrared spectroscopy; Paris polyphylla var. yunnanensis; near-infrared spectroscopy; origin traceability

Origin traceability is important for controlling the effect of Chinese medicinal materials and Chinese patent medicines. var. is widely distributed and well-known all over the world. In our study, two spectroscopic techniques (Fourier transform mid-infrared (FT-MIR) and near-infrared (NIR)) were app...