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Discrimination of wild Paris based on near infrared spectroscopy and high performance liquid chromatography combined with multivariate analysis.

Zhao Y, Zhang J, Yuan T, Shen T, Li W, Yang S, Hou Y, Wang Y, Jin H - PLoS ONE (2014)

Bottom Line: 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.The quality of Paris showed regional dependence.

View Article: PubMed Central - PubMed

Affiliation: Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, the People's Republic of China.

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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PLS model of Paris from Yunnan, Guizhou and Guangxi Provinces (A) and different geographical origins from Yunnan Provinces (B).
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pone-0089100-g005: PLS model of Paris from Yunnan, Guizhou and Guangxi Provinces (A) and different geographical origins from Yunnan Provinces (B).

Mentions: According to the diversity of NIR spectrum, stepwise discriminant analysis of PLS was utilized to analyze the samples from different geographical origins. In Figure 5A, forty eight collections of Paris samples were obviously separated into three groups according to the different geographical origins. The samples from Yunnan Province were clearly separated from the other two regions. The R2X and Q2Y described accumulative contribution rates were 99.50% and 94.03% of the total variance, respectively.


Discrimination of wild Paris based on near infrared spectroscopy and high performance liquid chromatography combined with multivariate analysis.

Zhao Y, Zhang J, Yuan T, Shen T, Li W, Yang S, Hou Y, Wang Y, Jin H - PLoS ONE (2014)

PLS model of Paris from Yunnan, Guizhou and Guangxi Provinces (A) and different geographical origins from Yunnan Provinces (B).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3928364&req=5

pone-0089100-g005: PLS model of Paris from Yunnan, Guizhou and Guangxi Provinces (A) and different geographical origins from Yunnan Provinces (B).
Mentions: According to the diversity of NIR spectrum, stepwise discriminant analysis of PLS was utilized to analyze the samples from different geographical origins. In Figure 5A, forty eight collections of Paris samples were obviously separated into three groups according to the different geographical origins. The samples from Yunnan Province were clearly separated from the other two regions. The R2X and Q2Y described accumulative contribution rates were 99.50% and 94.03% of the total variance, respectively.

Bottom Line: 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.The quality of Paris showed regional dependence.

View Article: PubMed Central - PubMed

Affiliation: Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming, Yunnan, the People's Republic of China.

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.

Show MeSH
Related in: MedlinePlus