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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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The original (A) and second derivative (B) NIR spectra of Paris.
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pone-0089100-g004: The original (A) and second derivative (B) NIR spectra of Paris.

Mentions: NIR spectrum and the chemical components contents of Paris were shown in Figure 4 and Table 2, respectively. Figure 4A showed the original spectra collected for the Paris samples, which illustrated the lowest molecular absorptivities were in the region 10000–7515 cm−1, with higher values in the region 7150–5436 cm−1 and still higher absorbance levels in the region 5326–4045 cm−1. The wavelength at 8380–8230 cm−1 corresponds to C–H second overtone stretch vibration modes in CH3 and CH2 groups, whereas the bands located between 6900 and 6800 cm−1 are the first overtone of O–H bands. In Figure 4B, the wavelengths at 7145 and 6953 cm−1 are related to C–H combination bands in CH2. The absorption band at 5181 cm−1 is assigned to polysaccharide combination band of O–H stretch vibration and the transformation of HOH. The wavelength at 4400 cm−1 is the combination band of O–H and C–O stretch vibration in glucose. In HPLC analysis, the retention time of polyphyllin I, polyphyllin II, polyphyllin VI and polyphyllin VII were at 34.828 min, 32.384 min, 23.048 min and 20.980 min, respectively. According to the results of HPLC, we found that polyphyllin VI only was detected in sample 17#. Based on this point, the compound polyphyllin VI was not used for discrimination analysis. Chemical components including polyphyllin I, polyphyllin II, polyphyllin VII, and total steroid saponins were employed in discrimination analysis, with “0” expressed the one could not be determined.


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)

The original (A) and second derivative (B) NIR spectra of Paris.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0089100-g004: The original (A) and second derivative (B) NIR spectra of Paris.
Mentions: NIR spectrum and the chemical components contents of Paris were shown in Figure 4 and Table 2, respectively. Figure 4A showed the original spectra collected for the Paris samples, which illustrated the lowest molecular absorptivities were in the region 10000–7515 cm−1, with higher values in the region 7150–5436 cm−1 and still higher absorbance levels in the region 5326–4045 cm−1. The wavelength at 8380–8230 cm−1 corresponds to C–H second overtone stretch vibration modes in CH3 and CH2 groups, whereas the bands located between 6900 and 6800 cm−1 are the first overtone of O–H bands. In Figure 4B, the wavelengths at 7145 and 6953 cm−1 are related to C–H combination bands in CH2. The absorption band at 5181 cm−1 is assigned to polysaccharide combination band of O–H stretch vibration and the transformation of HOH. The wavelength at 4400 cm−1 is the combination band of O–H and C–O stretch vibration in glucose. In HPLC analysis, the retention time of polyphyllin I, polyphyllin II, polyphyllin VI and polyphyllin VII were at 34.828 min, 32.384 min, 23.048 min and 20.980 min, respectively. According to the results of HPLC, we found that polyphyllin VI only was detected in sample 17#. Based on this point, the compound polyphyllin VI was not used for discrimination analysis. Chemical components including polyphyllin I, polyphyllin II, polyphyllin VII, and total steroid saponins were employed in discrimination analysis, with “0” expressed the one could not be determined.

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