ArticlePloS one2017
Discrimination and prediction of cultivation age and parts of Panax ginseng by Fourier-transform infrared spectroscopy combined with multivariate statistical analysis.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- From Fingerprint Spectra to Intelligent Perception: Research Advances in Spectral Techniques for Ginseng Species Identification.Foods (Basel, Switzerland) · 2026Review
- Rapid discrimination ofFood science and biotechnology · 2024Article
- Biosynthesis of Functional Silver Nanoparticles Using Callus and Hairy Root Cultures ofJournal of functional biomaterials · 2023Article
- Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy.Frontiers in plant science · 2023Review
- Use of ATR-FTIR Spectroscopy and Chemometrics for the Variation of Active Components in Different Harvesting Periods ofInternational journal of analytical chemistry · 2022Article
- Application of FT-IR spectroscopy and chemometric technique for the identification of three different parts ofFrontiers in pharmacology · 2022Article
- Machine learning methods to predict the cultivation age of Panacis Quinquefolii Radix.Chinese medicine · 2021Article
- Shrimp count size: GC/MS-based metabolomics approach and quantitative descriptive analysis (QDA) reveal the importance of size in white leg shrimp (Litopenaeus vannamei).Metabolomics : Official journal of the Metabolomic Society · 2021Article
- Phytochemical analysis ofJournal of ginseng research · 2021Review
- Near-Infrared Transmittance Spectral Imaging for Nondestructive Measurement of Internal Disorder in Korean Ginseng.Sensors (Basel, Switzerland) · 2020Article
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5 authors.
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Abstract
Panax ginseng C.A. Meyer is a herb used for medicinal purposes, and its discrimination according to cultivation age has been an important and practical issue. This study employed Fourier-transform infrared (FT-IR) spectroscopy with multivariate statistical analysis to obtain a prediction model for discriminating cultivation ages (5 and 6 years) and three different parts (rhizome, tap root, and lateral root) of P. ginseng. The optimal partial-least-squares regression (PLSR) models for discriminating ginseng samples were determined by selecting normalization methods, number of partial-least-squares (PLS) components, and variable influence on projection (VIP) cutoff values. The best prediction model for discriminating 5- and 6-year-old ginseng was developed using tap root, vector normalization applied after the second differentiation, one PLS component, and a VIP cutoff of 1.0 (based on the lowest root-mean-square error of prediction value). In addition, for discriminating among the three parts of P. ginseng, optimized PLSR models were established using data sets obtained from vector normalization, two PLS components, and VIP cutoff values of 1.5 (for 5-year-old ginseng) and 1.3 (for 6-year-old ginseng). To our knowledge, this is the first study to provide a novel strategy for rapidly discriminating the cultivation ages and parts of P. ginseng using FT-IR by selected normalization methods, number of PLS components, and VIP cutoff values.
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