| Literature DB >> 27723805 |
Hai-Zhu Zhang1,2,3, Da-Hui Liu4, Ding-Kun Zhang1,2, Yan-Hui Wang2, Gang Li5, Gui-Lin Yan5, Li-Juan Cao5, Xiao-He Xiao1,2, Lu-Qi Huang6, Jia-Bo Wang1,2.
Abstract
Panax notoginseng (Burk.) F.H. Chen, called Sanqi in China, is a perennial herb that has been used as a medicinal herb in traditional Chinese medicine for more than 400 years. Because notoginseng is included in many proprietary Chinese medicines, the quality of notoginseng directly affects its efficacy and safety. However, considering the complex and special growth environment requirements of notoginseng, it is insufficient to evaluate its quality based solely on the analysis of marker chemicals. Thus, in this study, we tried to evaluate the quality of notoginseng with integrated indicators: (1) the concentration of five marker chemicals, notoginsenoside R1, ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1 and ginsenoside Rd; (2) the anticoagulant activity (ACA); and (3) twenty-one ecological factors (e.g., longitude, latitude, elevation and soil data). Using these 27 parameters, notoginseng from different regions could be distinguished effectively, indicating a remarkable divergence of quality. A correlation analysis showed that variations of the ecological factors were closely associated with the saponins content and biopotency. For instance, the total nitrogen (TN), alkali hydrolysis nitrogen (AHN) and rapidly available potassium (RAPT) were significantly correlated with ACA, and RAPT was significantly correlated with the content of ginsenoside Rd and notoginsenoside R1. The results demonstrated that the high-quality notoginseng was produced from the emerging regions such as Kunming, Qujing and Honghe, which had higher ACA and saponin content than the notoginseng produced in traditional regions such as Wenshan and Baise.Entities:
Mesh:
Substances:
Year: 2016 PMID: 27723805 PMCID: PMC5056725 DOI: 10.1371/journal.pone.0164384
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Panax notoginseng analysed in this study.
| Sample No. | Source | East longitude(。) | Northern latitude(。) | Elevation(m) | Colletion year |
|---|---|---|---|---|---|
| 1 | Jingxi,Baise,Guangxi, | 106.32 | 23.13 | 762 | 2014 |
| 2 | Yanshan,Wenshan,Yunnan, | 104.3 | 23.65 | 1603 | 2014 |
| 3 | Qiubei,Wenshan,Yunnan, | 104.17 | 23.98 | 1481 | 2014 |
| 4 | Maguan,Wenshan,Yunnan, | 104.45 | 22.95 | 1443 | 2014 |
| 5 | Wenshan,Wenshan,Yunnan | 104.23 | 23.43 | 1597 | 2014 |
| 6 | Mile,Honghe,Yunnan | 103.25 | 24.43 | 2091 | 2014 |
| 7 | Guandu,Kunming,Yunnan | 102.97 | 25.18 | 1986 | 2014 |
| 8 | Xundian,Kunming,Yunnan | 103.33 | 25.73 | 2114 | 2014 |
| 9 | Yiliang,Kunming,Yunnan | 104.00 | 24.88 | 1881 | 2014 |
| 10 | Shizong,Qujing,Yunnan | 103.07 | 24.57 | 1973 | 2014 |
Calibration curves, LODs, LOQ, and precision for notoginseng saponin R1, ginseng saponin Rg1, ginseng saponin Re, ginseng saponin Rb1 and ginseng saponin Rd.
| Reference samples | Caliration curves | Test ranges(mg·mL−1) | LODs(μg·mL−1) | LOQs(μg·mL−1) | |
|---|---|---|---|---|---|
| Notoginseng saponin R1 | 0.9999 | 0.018–0.146 | 5.01 | 11.25 | |
| Ginseng saponin Rg1 | 1 | 0.080–0.280 | 4.23 | 11.11 | |
| Ginseng saponin Re | 0.9995 | 0.020–0.180 | 6.15 | 12.22 | |
| Ginseng saponin Rb1 | 0.9994 | 0.095–0.285 | 5.96 | 13.17 | |
| Ginseng saponin Rd | 0.9999 | 0.033–0.415 | 5.17 | 12.15 |
Fig 1Chromatogram.
(A) mixed standard solution. (B) sample solution. (C) content determination results.
Results of the biological reliability verification.
| Sources of variation | Degrees of freedom | Sum of squares of deviations | Variance | ||
|---|---|---|---|---|---|
| Between test samples | 1 | 7.938 | 7.938 | 6.1967 | >0.05 |
| Regression | 1 | 33.282 | 33.282 | 25.981 | <0.01 |
| Deviation from parallel | 1 | 0.128 | 0.128 | <1 | >0.05 |
| Between the agent | 3 | 41.351 | 13.784 | 10.76 | <0.01 |
| Error | 16 | 20.496 | 1.281 |
Fig 2The result of the anticoagulant activity (ACA) analysis of notoginseng.
Results of soil information verification.
| Sample No. | pH | Moisture(%) | Organic (g·kg-1) | TN(g·kg-1) | ANH(mg·kg-1) | NN(mg·kg-1) | AN(mg·kg-1) | TP(g·kg-1) | RAP(mg·kg-1) | TPT(g·kg-1) | RAPT(mg·kg-1) | CCa(cmol·kg-1) | CMg(cmol·kg-1) | AFe(mg·kg-1) | AMn(mg·kg-1) | ACu(mg·kg-1) | AZn(mg·kg-1) | AB(mg·kg-1) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 5.47 | 29.0605 | 33.3093 | 1.4023 | 136.0800 | 12.3951 | 1.3270 | 0.6736 | 3.7178 | 2.4610 | 121.87 | 4.9542 | 0.3034 | 70.90 | 30.18 | 6.931 | 3.7940 | 0.44 |
| 2 | 6.00 | 25.0064 | 29.7233 | 1.7840 | 110.3235 | 8.4634 | 2.3424 | 1.1641 | 30.2606 | 9.6935 | 230.02 | 7.4866 | 1.0851 | 86.15 | 275.40 | 4.234 | 6.5700 | 0.53 |
| 3 | 5.72 | 22.4473 | 20.5816 | 1.3358 | 86.5830 | 5.0594 | 2.2742 | 1.5564 | 27.1370 | 15.1522 | 252.75 | 4.8902 | 1.1880 | 72.06 | 265.02 | 5.032 | 4.7610 | 0.31 |
| 4 | 5.49 | 22.2327 | 18.0349 | 2.0959 | 126.6160 | 11.7949 | 1.9670 | 0.6911 | 8.9288 | 5.8668 | 236.75 | 4.6002 | 0.5220 | 111.75 | 75.80 | 3.231 | 6.3500 | 0.12 |
| 5 | 4.94 | 25.4633 | 26.7598 | 1.1255 | 97.2895 | 25.3621 | 2.3850 | 0.6141 | 5.4243 | 11.7107 | 117.90 | 3.0704 | 0.4911 | 14.97 | 16.54 | 0.453 | 3.1110 | 0.10 |
| 6 | 4.86 | 27.0974 | 21.2090 | 2.2668 | 158.2700 | 14.2671 | 4.2570 | 1.4338 | 26.1466 | 3.9659 | 174.22 | 2.7164 | 0.3394 | 42.58 | 185.63 | 7.013 | 4.4010 | 0.27 |
| 7 | 6.00 | 18.0471 | 46.0884 | 2.4226 | 202.9580 | 74.7563 | 1.9099 | 0.8256 | 18.1472 | 9.6816 | 418.42 | 7.2402 | 3.1397 | 61.95 | 234.01 | 4.344 | 6.6740 | 0.18 |
| 8 | 5.55 | 29.3345 | 32.4982 | 2.1573 | 183.8725 | 18.5088 | 2.0743 | 1.6053 | 19.8994 | 4.3182 | 310.32 | 3.7488 | 0.8511 | 67.88 | 201.32 | 9.711 | 7.0060 | 0.42 |
| 9 | 4.94 | 27.1017 | 36.7207 | 2.2235 | 184.3380 | 41.1349 | 1.5150 | 1.3553 | 29.6511 | 7.7961 | 275.97 | 2.4061 | 0.6943 | 40.32 | 101.62 | 2.216 | 3.0940 | 0.37 |
| 10 | 6.17 | 28.0474 | 41.8678 | 2.3010 | 143.3740 | 26.0160 | 3.1408 | 1.4496 | 59.0584 | 5.2267 | 363.27 | 5.9054 | 1.7897 | 61.30 | 251.81 | 5.304 | 9.1360 | 0.48 |
Fig 3Correlation analysis.
(A-E)The correlation between the content of chemical compounds (notoginsenoside R1, ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1, ginsenoside Rd) and ecological factors. (F)The correlation between bioactivity and ecological factors. (G)The correlation between the content of chemical compounds and bioactivity.
Fig 4Thermograph of the correlation analysis of all factors.
Fig 5(A)PLS-DA of the producing regions versus the chemical constituents, biological activities and ecological factors. (B)The v-plot of the variables to distinguish between traditional regions (TR) and emerging regions (ER). (C-K) The decisive quality characteristics comparison of notoginseng from TR and ER.