ArticlePloS one2014
Discrimination of wild Paris based on near infrared spectroscopy and high performance liquid chromatography combined with multivariate analysis.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Assessment of suitable cultivation area for Paris polyphylla var. chinensis and var. yunnanensis under anthropogenic disturbance based on ensemble modeling and germplasm identification.BMC plant biology · 2026Article
- Application of spectroscopic technology with machine learning in Chinese herbs from seeds to medicinal materials: The case of genusJournal of pharmaceutical analysis · 2025Review
- Discrimination and Evaluation of WildInternational journal of analytical chemistry · 2023Article
- ResNet and MaxEnt modeling for quality assessment ofFrontiers in plant science · 2022Article
- Practical Qualitative Evaluation and Screening of Potential Biomarkers for Different Parts ofFrontiers in microbiology · 2022Article
- Natural Polyphyllins (I, II, D, VI, VII) Reverses Cancer Through Apoptosis, Autophagy, Mitophagy, Inflammation, and Necroptosis.OncoTargets and therapy · 2021Review
- Capturing the Geoherbalism Differentiation in WildACS omega · 2019Article
- Data Fusion of Fourier Transform Mid-Infrared (MIR) and Near-Infrared (NIR) Spectroscopies to Identify Geographical Origin of WildMolecules (Basel, Switzerland) · 2019Article
- Application of variable selection in the origin discrimination of Wolfiporia cocos (F.A. Wolf) Ryvarden & Gilb. based on near infrared spectroscopy.Scientific reports · 2018Article
- Authenticity analyses of Rhizoma Paridis using barcoding coupled with high resolution melting (Bar-HRM) analysis to control its quality for medicinal plant product.Chinese medicine · 2018Article
- Quality Assessment of Gentiana rigescens from Different Geographical Origins Using FT-IR Spectroscopy Combined with HPLC.Molecules (Basel, Switzerland) · 2017Article
- Quantitative evaluation and discrimination of wild Paris polyphylla var. yunnanensis (Franch.) Hand.-Mazz from three regions of Yunnan Province using UHPLC-UV-MS and UV spectroscopy couple with partial least squares discriminant analysis.Journal of natural medicines · 2017Article
- Quantitative Analysis in Combination with Fingerprint Technology and Chemometric Analysis Applied for Evaluating Six Species of WildJournal of analytical methods in chemistry · 2016Article
- Article
- Investigation of metabolites accumulation in medical plant Gentiana rigescens during different growing stage using LC-MS/MS and FT-IR.Botanical studies · 2015Article
- Species authentication and geographical origin discrimination of herbal medicines by near infrared spectroscopy: A review.Journal of pharmaceutical analysis · 2015Review
- Comparative metabolic fingerprinting of Gentiana rhodantha from different geographical origins using LC-UV-MS/MS and multivariate statistical analysis.BMC biochemistry · 2015Article
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9 authors.
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Abstract
Different geographical origins and species of Paris obtained from southwestern China were discriminated by near infrared (NIR) spectroscopy and high performance liquid chromatography (HPLC) combined with multivariate analysis. The NIR parameter settings were scanning (64 times), resolution (4 cm(-1)), scanning range (10,000 cm(-1)∼4000 cm(-1)) and parallel collection (3 times). NIR spectrum was optimized by TQ 8.6 software, and the ranges 7455∼6852 cm(-1) and 5973∼4007 cm(-1) were selected according to the spectrum standard deviation. The contents of polyphyllin I, polyphyllin II, polyphyllin VI, and polyphyllin VII and total steroid saponins were detected by HPLC. The contents of chemical components data matrix and spectrum data matrix were integrated and analyzed by partial least squares discriminant analysis (PLS-DA). From the PLS-DA model of NIR spectrum, Paris samples were separated into three groups according to the different geographical origins. The R(2)X and Q(2)Y described accumulative contribution rates were 99.50% and 94.03% of the total variance, respectively. The PLS-DA model according to 12 species of Paris described 99.62% of the variation in X and predicted 95.23% in Y. The results of the contents of chemical components described differences among collections quantitatively. A multivariate statistical model of PLS-DA showed geographical origins of Paris had a much greater influence on Paris compared with species. NIR and HPLC combined with multivariate analysis could discriminate different geographical origins and different species. The quality of Paris showed regional dependence.
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