Determination of Triterpenoids and Phenolic Acids from Sanguisorba officinalis L. by HPLC-ELSD and Its Application
Abstract
:1. Introduction
2. Results
2.1. Selection of HPLC-ELSD Condition
2.2. Calibration Curves and Linear Range
2.3. Precision, Repeatablity and Stability
2.4. Recovery
2.5. Sample Analysis
2.6. The Result of Comparison of Changes in Functional Components
3. Discussion
4. Materials and Methods
4.1. Reagents and Samples
4.2. Preparation of S. officinalis Extract
4.3. Preparation of Standard Samples
4.4. Instrumentational and HPLC-ELSD Conditions
4.5. Method Validation
4.5.1. Calibration Curves, Limits of Detection and Quantification
4.5.2. Precision, Repeatability and Stability
4.5.3. Recovery
4.6. Content Determination
4.7. Comparison of Changes in Functional Components in S. officinalis
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Analyte | Calibration Curve | R² | Linear Range (μg/mL) |
---|---|---|---|
1 | Y = 1.171X + 1.105 | 0.9993 | 10.25–164.0 |
2 | Y = 1.114X + 1.482 | 0.9992 | 5.35–85.60 |
3 | Y = 1.144X + 1.672 | 0.9996 | 7.88–126.0 |
4 | Y = 1.028X + 0.6003 | 0.9992 | 7.55–120.8 |
5 | Y = 0.8546X + 3.735 | 0.9996 | 8.08–209.2 |
6 | Y = 1.162X + 1.196 | 0.9994 | 11.05–176.8 |
7 | Y = 1.174X + 1.496 | 0.9992 | 5.45–87.20 |
8 | Y = 1.156X + 1.109 | 0.9993 | 5.24–83.80 |
9 | Y = 1.048X + 2.477 | 0.9992 | 10.50–168.0 |
10 | Y = 1.092X + 2.293 | 0.9994 | 8.28–132.4 |
11 | Y = 0.997X + 2.936 | 0.9994 | 10.10–160.6 |
12 | Y = 1.126X + 1.429 | 0.9997 | 12.60–201.6 |
13 | Y = 1.138X + 1.476 | 0.9991 | 11.80–188.8 |
14 | Y = 1.131X + 1.629 | 0.9996 | 11.30–180.8 |
15 | Y = 1.128X + 2.354 | 0.9997 | 11.35–181.6 |
16 | Y = 1.135X + 2.403 | 0.9996 | 5.40–86.40 |
17 | Y = 1.109X + 1.949 | 0.9996 | 11.55–184.8 |
18 | Y = 1.141X + 2.017 | 0.9996 | 8.05–128.8 |
19 | Y = 1.076X + 1.598 | 0.9994 | 8.10–129.6 |
20 | Y = 1.126X + 1.721 | 0.9997 | 11.30–180.8 |
21 | Y = 1.141X + 2.307 | 0.9996 | 11.75–188.0 |
22 | Y = 1.174X + 1.252 | 0.9994 | 9.98–159.9 |
23 | Y = 1.153X + 1.763 | 0.9995 | 18.51–295.8 |
Compound | RE (%) | ||||
---|---|---|---|---|---|
2 h | 4 h | 6 h | 8 h | 12 h | |
1 | −0.5 | −2.1 | −1.1 | 1.6 | 2.2 |
2 | −1.2 | 2.1 | 1.5 | 2.0 | 1.6 |
3 | 1.3 | −2.1 | −2.3 | 1.0 | 2.2 |
4 | 1.4 | 1.9 | −0.8 | 1.3 | 2.1 |
5 | 2.1 | 1.7 | 2.2 | 1.5 | −0.9 |
6 | 2.3 | −2.7 | 1.9 | 2.0 | −1.3 |
7 | 0.9 | 1.2 | −1.5 | −2.1 | −2.8 |
8 | 1.9 | −1.4 | −1.8 | −2.5 | 2.1 |
9 | 1.1 | −1.7 | 1.5 | 2.9 | −2.4 |
10 | −0.9 | 1.3 | −2.2 | 1.6 | −1.9 |
11 | −1.0 | −1.2 | 1.6 | 2.0 | 2.1 |
12 | 1.1 | −1.7 | 1.5 | 2.9 | −2.4 |
13 | −0.9 | 1.3 | −2.2 | 1.6 | −1.2 |
14 | −1.1 | 1.9 | 1.7 | −2.0 | −2.8 |
15 | 1.4 | −1.5 | −1.0 | 2.2 | 1.4 |
16 | −0.8 | −1.3 | 2.1 | 1.4 | −1.6 |
17 | 2.3 | 1.5 | 1.8 | −2.3 | 1.2 |
18 | 1.0 | −1.2 | 2.1 | 1.9 | −0.9 |
19 | 0.8 | 1.1 | −0.75 | 0.9 | 1.2 |
20 | 1.2 | 1.7 | −1.4 | 1.0 | 2.0 |
21 | −2.1 | −1.1 | −1.6 | 1.9 | 2.3 |
22 | 2.4 | −1.0 | 0.2 | 0.4 | −1.3 |
23 | −2.0 | 1.8 | 1.1 | 1.4 | −0.8 |
Compound | Recovery (%) | RE (%) |
---|---|---|
1 | 98.8 | 1.1 |
2 | 99.6 | 1.4 |
3 | 99.4 | −1.1 |
4 | 99.1 | 1.5 |
5 | 98.9 | −1.0 |
6 | 98.2 | 2.2 |
7 | 100.1 | 1.8 |
8 | 101.2 | 2.6 |
9 | 99.5 | 3.0 |
10 | 97.7 | 1.9 |
11 | 100.8 | 1.2 |
12 | 99.7 | 1.6 |
13 | 99.1 | 1.4 |
14 | 98.8 | 2.0 |
15 | 100.4 | −1.3 |
16 | 101.4 | 1.0 |
17 | 100.6 | 3.0 |
18 | 98.9 | 2.1 |
19 | 99.5 | 2.0 |
20 | 99.2 | 2.4 |
21 | 101.1 | −1.3 |
22 | 100.7 | 1.9 |
23 | 101.2 | −2.3 |
No. | Source | Collection Time | No. | Source | Collection Time |
---|---|---|---|---|---|
1 | Anguo, Hebei | March 2016 | 17 | Shanxi | March 2018 |
2 | Shijiazhuang, Hebei | March 2016 | 18 | Jizhou, Hubei | December 2016 |
3 | Chengdu, Sichuan | April 2017 | 19 | Kunming, Yunnan | October 2016 |
4 | Mianyang, Sichuan | April 2017 | 20 | Yulin, Guangxi | September 2016 |
5 | Jilin | April 2017 | 21 | Rizhao, Shandong | December 2017 |
6 | Guiyang, Guizhou | March 2018 | 22 | Qingdao, Shandong | December 2017 |
7 | Zunyi, Guizhou | March 2018 | 23 | Shenyang, Liaoning | March 2016 |
8 | Hulunbeir, Inner Mongolia | June 2016 | 24 | Jinzhou, Liaoning | April 2016 |
9 | Chifeng, Inner Mongolia | June 2016 | 25 | Harbin, Heilongjiang | June 2016 |
10 | Shanxi | December 2016 | 26 | Mudanjiang, Heilongjiang | October 2017 |
11 | Lanzhou, Gansu | September 2018 | 27 | Guangdong | November 2016 |
12 | Tianshui, Gansu | September 2018 | 28 | Jiangsu | May 2018 |
13 | Bozhou, Anhui | December 2017 | 29 | Hunan | December 2018 |
14 | Pan’an, Zhejiang | May 2018 | 30 | Qinghai | May 2017 |
15 | Zhangshu, Jiangxi | April 2017 | 31 | Chongqing | July 2017 |
16 | Changzhou, Henan | May 2018 | 32 | Tibet | November 2016 |
Source | Compound (%) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | Total | |
DY01 | 3.72 | 0.45 | 5.94 | 0.33 | 0.07 | 0.55 | 0.18 | 2.93 | 0.24 | 0.85 | 1.91 | 17.17 |
DY02 | 3.45 | 0.41 | 5.86 | 0.32 | 0.05 | 0.61 | 0.24 | 3.15 | 0.12 | 0.97 | 2.07 | 17.25 |
DY03 | 1.29 | 0.24 | 3.75 | 0.16 | 0.10 | 0.25 | 0.26 | 2.87 | ND | 0.64 | 1.39 | 10.95 |
DY04 | 1.57 | 0.24 | 2.73 | 0.25 | 0.05 | 0.26 | 0.30 | 1.87 | 0.21 | 0.40 | 1.51 | 9.39 |
DY05 | 1.91 | 0.27 | 2.73 | 0.24 | 0.09 | 0.28 | 0.32 | 3.02 | 0.19 | 0.65 | 1.27 | 10.97 |
DY06 | 1.73 | 0.26 | 2.64 | 0.27 | 0.09 | 0.34 | 0.24 | 2.21 | 0.16 | 0.41 | 1.70 | 10.05 |
DY07 | 1.83 | 0.35 | 3.06 | 0.31 | 0.08 | 0.25 | 0.21 | 1.85 | 0.14 | 0.62 | 1.58 | 10.28 |
DY08 | 2.07 | 0.25 | 3.93 | 0.24 | 0.06 | 0.35 | 0.28 | 2.69 | 0.25 | 0.31 | 1.68 | 12.11 |
DY09 | 2.40 | 0.30 | 3.97 | 0.19 | 0.06 | 0.24 | 0.28 | 2.69 | 0.16 | 0.55 | 1.43 | 12.27 |
DY10 | 1.58 | 0.24 | 2.89 | ND | 0.10 | 0.27 | 0.10 | 1.59 | 0.11 | 0.47 | 1.47 | 8.82 |
DY11 | 2.36 | 0.30 | 3.28 | 0.15 | 0.10 | 0.25 | 0.31 | 2.33 | 0.23 | 0.70 | 1.79 | 11.80 |
DY12 | 2.88 | 0.39 | 3.42 | 0.33 | ND | 0.39 | 0.35 | 1.76 | 0.23 | 0.59 | 1.54 | 11.88 |
DY13 | 2.80 | 0.33 | 3.87 | 0.14 | 0.10 | 0.35 | 0.27 | 3.04 | 0.18 | 0.56 | 1.69 | 13.33 |
DY14 | 1.64 | 0.24 | 3.58 | 0.34 | 0.10 | 0.33 | 0.33 | 1.57 | 0.20 | 0.43 | 1.62 | 10.38 |
DY15 | 2.62 | 0.40 | 2.68 | 0.29 | 0.06 | 0.29 | 0.11 | 1.57 | 0.16 | 0.60 | 1.54 | 10.32 |
DY16 | 1.31 | 0.32 | 4.49 | 0.15 | 0.10 | 0.32 | 0.33 | 2.91 | 0.20 | 0.33 | 1.80 | 12.26 |
DY17 | 1.11 | 0.37 | 4.55 | 0.13 | 0.08 | 0.32 | 0.13 | 2.87 | 0.20 | 0.32 | 1.74 | 11.82 |
DY18 | 2.80 | 0.38 | 4.91 | 0.28 | 0.06 | 0.34 | 0.13 | 1.98 | 0.21 | 0.66 | 1.20 | 12.95 |
DY19 | 1.59 | 0.28 | 4.30 | 0.16 | 0.05 | 0.35 | 0.23 | 2.49 | 0.24 | 0.59 | 1.31 | 11.59 |
DY20 | 2.51 | 0.39 | 3.69 | 0.21 | 0.05 | 0.37 | 0.18 | 1.99 | 0.15 | 0.61 | 1.55 | 11.70 |
DY21 | 1.07 | 0.31 | 4.93 | 0.25 | 0.09 | 0.36 | 0.31 | 2.35 | 0.23 | 0.30 | 1.64 | 11.84 |
DY22 | 1.57 | 0.34 | 3.30 | 0.19 | 0.06 | 0.26 | 0.24 | 2.58 | 0.14 | 0.34 | 1.39 | 10.41 |
DY23 | 1.74 | 0.26 | 4.43 | ND | 0.08 | 0.20 | 0.30 | 2.54 | 0.15 | 0.57 | 1.30 | 11.57 |
DY24 | 2.97 | 0.31 | 3.08 | 0.23 | 0.05 | 0.22 | ND | 3.07 | 0.13 | 0.46 | 1.43 | 11.95 |
DY25 | 1.20 | 0.36 | 4.58 | 0.23 | ND | 0.21 | 0.23 | 1.70 | 0.16 | 0.31 | 1.50 | 10.48 |
DY26 | 2.70 | 0.28 | 3.41 | 0.16 | 0.08 | 0.35 | 0.33 | 3.08 | 0.17 | 0.35 | 1.42 | 12.33 |
DY27 | 2.01 | 0.34 | 3.46 | 0.23 | ND | 0.24 | 0.35 | 2.29 | ND | 0.62 | 1.57 | 11.11 |
DY28 | 2.71 | 0.24 | 4.08 | 0.32 | 0.05 | 0.31 | 0.30 | 2.67 | 0.13 | 0.61 | 1.55 | 12.97 |
DY29 | 1.83 | 0.35 | 2.91 | 0.11 | 0.09 | 0.29 | 0.16 | 2.79 | 0.25 | 0.35 | 1.61 | 10.74 |
DY30 | 2.72 | 0.39 | 3.56 | 0.10 | ND | 0.26 | 0.35 | 2.19 | 0.13 | 0.31 | 1.40 | 11.41 |
DY31 | 1.39 | 0.27 | 3.54 | 0.20 | 0.08 | 0.23 | 0.32 | 2.78 | 0.16 | 0.62 | 1.48 | 11.07 |
DY32 | 2.22 | 0.33 | 4.03 | 0.11 | ND | 0.31 | 0.23 | 2.88 | 0.18 | 0.60 | 1.52 | 12.41 |
Source | Compound (%) | Total | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | ||
DY01 | 5.93 | 0.29 | 0.30 | 1.03 | 0.30 | 0.75 | 2.07 | 0.29 | 0.65 | 2.23 | 0.10 | 3.18 | 17.12 |
DY02 | 5.88 | 0.37 | 0.21 | 1.07 | 0.25 | 0.77 | 2.84 | 0.34 | 0.77 | 2.39 | 0.23 | 2.16 | 17.28 |
DY03 | 3.18 | 0.43 | 0.28 | 0.87 | 0.41 | 0.65 | 1.97 | 0.38 | 0.44 | 1.21 | 0.13 | 2.14 | 12.09 |
DY04 | 4.65 | 0.29 | 0.59 | 0.91 | 0.18 | 0.92 | 1.57 | 0.30 | 0.61 | 1.31 | 0.12 | 1.81 | 13.26 |
DY05 | 2.35 | 0.23 | 0.61 | 0.47 | 0.15 | 0.85 | 1.42 | 0.34 | 0.80 | 1.58 | 0.14 | 2.28 | 11.22 |
DY06 | 4.27 | 0.16 | 0.46 | 0.46 | 0.35 | 0.69 | 1.89 | 0.16 | 0.36 | 1.61 | 0.17 | 1.88 | 12.46 |
DY07 | 2.29 | 0.49 | 0.30 | 0.71 | ND | 0.54 | 1.43 | 0.25 | 0.37 | 1.10 | 0.15 | 1.32 | 8.95 |
DY08 | 3.60 | 0.17 | 0.67 | 0.41 | 0.20 | 0.94 | 1.69 | 0.44 | 0.36 | 1.11 | 0.15 | 1.00 | 10.74 |
DY09 | 5.24 | 0.43 | 0.67 | 0.99 | 0.26 | 0.78 | 1.59 | 0.12 | 0.50 | 1.24 | 0.18 | 2.03 | 14.03 |
DY10 | 3.15 | 0.33 | 0.78 | 0.47 | 0.21 | 0.93 | 1.42 | 0.22 | 0.20 | 1.62 | 0.16 | 1.49 | 10.98 |
DY11 | 3.53 | 0.42 | 0.22 | 0.74 | ND | 0.66 | 1.32 | 0.24 | 0.53 | 1.19 | 0.17 | 1.00 | 10.02 |
DY12 | 3.29 | 0.55 | 0.34 | 0.65 | 0.31 | 0.72 | 1.93 | 0.19 | 0.79 | 1.47 | 0.13 | 2.03 | 12.40 |
DY13 | 4.44 | 0.22 | 0.60 | 0.40 | 0.17 | 0.62 | 1.29 | 0.30 | 0.36 | 1.12 | ND | 1.69 | 11.21 |
DY14 | 4.69 | 0.32 | 0.15 | 0.82 | 0.38 | 0.78 | 1.33 | 0.26 | 0.32 | 1.11 | 0.13 | 1.75 | 12.04 |
DY15 | 5.39 | 0.31 | 0.19 | 0.56 | 0.26 | 0.79 | 2.06 | 0.08 | 0.24 | 1.65 | 0.15 | 2.40 | 14.08 |
DY16 | 3.58 | ND | 0.58 | 0.53 | 0.44 | 0.92 | 1.83 | 0.34 | 0.41 | 1.80 | 0.16 | 2.38 | 12.97 |
DY17 | 2.85 | 0.54 | 0.43 | 0.55 | 0.34 | 0.81 | 1.31 | 0.47 | 0.45 | 2.06 | 0.15 | 1.04 | 11.00 |
DY18 | 3.36 | 0.40 | 0.31 | 0.68 | ND | 0.62 | 2.01 | 0.27 | 0.23 | 1.86 | 0.16 | 1.71 | 11.61 |
DY19 | 3.01 | 0.36 | 0.51 | 0.42 | 0.32 | 0.76 | 2.06 | ND | 0.54 | 1.10 | 0.18 | 1.80 | 11.06 |
DY20 | 5.19 | 0.58 | ND | 0.60 | 0.15 | 0.73 | 1.25 | 0.31 | 0.72 | 1.01 | 0.12 | 1.02 | 11.68 |
DY21 | 3.40 | 0.26 | 0.40 | 0.87 | 0.30 | 0.81 | 1.49 | 0.46 | 0.49 | 1.49 | 0.12 | 2.45 | 12.54 |
DY22 | 4.36 | 0.55 | 0.54 | 0.65 | 0.24 | 0.58 | 2.03 | 0.40 | 0.35 | 2.05 | 0.13 | 1.33 | 13.21 |
DY23 | 5.30 | 0.54 | 0.33 | 0.47 | 0.18 | 0.83 | 1.67 | 0.43 | 0.68 | 1.12 | 0.12 | 1.42 | 13.09 |
DY24 | 3.05 | 0.16 | ND | 0.86 | 0.19 | 0.95 | 1.21 | 0.29 | 0.53 | 1.14 | 0.12 | 2.08 | 10.58 |
DY25 | 4.50 | 0.52 | 0.47 | 0.43 | 0.50 | 0.69 | 1.68 | 0.24 | 0.44 | 1.85 | 0.18 | 2.17 | 13.67 |
DY26 | 4.46 | 0.24 | 0.78 | 0.58 | 0.38 | 1.00 | 1.33 | 0.22 | 0.66 | 1.60 | 0.12 | 1.49 | 12.86 |
DY27 | 3.64 | ND | 0.41 | 0.51 | 0.41 | 0.63 | 1.31 | 0.27 | 0.60 | 2.07 | 0.14 | 1.79 | 11.78 |
DY28 | 2.65 | 0.60 | 0.69 | 0.94 | 0.19 | 0.77 | 1.93 | 0.48 | 0.59 | 1.72 | 0.18 | 1.71 | 12.45 |
DY29 | 5.07 | 0.35 | 0.62 | 0.84 | ND | 0.69 | 1.80 | 0.05 | 0.40 | 1.17 | 0.13 | 2.02 | 13.14 |
DY30 | 2.87 | 0.33 | 0.38 | 0.57 | 0.17 | 0.70 | 1.75 | 0.38 | 0.55 | 1.57 | 0.17 | 1.16 | 10.60 |
DY31 | 3.03 | 0.29 | 0.30 | 0.99 | 0.30 | 0.96 | 1.89 | ND | 0.21 | 1.54 | 0.17 | 1.71 | 11.39 |
DY32 | 4.59 | 0.58 | 0.78 | 0.53 | 0.20 | 0.79 | 1.86 | 0.35 | 0.23 | 1.48 | ND | 1.21 | 12.60 |
Compound | Source | |||||
---|---|---|---|---|---|---|
Heilongjiang | Henan | Anhui | ||||
Unprocessed | Processed | Unprocessed | Processed | Unprocessed | Processed | |
1 | 1.19 | 0.75 ** | 1.32 | 1.03 ** | 2.82 | 1.35 ** |
2 | 0.38 | 0.42 | 0.33 | 0.41 | 0.34 | 0.44 |
3 | 4.56 | 0.22 ** | 4.48 | 0.19 ** | 3.85 | 0.27 ** |
4 | 0.23 | 1.56 ** | 0.15 | 2.49 ** | 0.13 | 2.25 ** |
5 | ND | ND | 0.11 | ND ** | 0.11 | ND ** |
6 | 0.21 | 1.10 ** | 0.33 | 0.42 | 0.34 | 1.63 ** |
7 | 0.23 | 4.21 ** | 0.31 | 2.10 * | 0.26 | 1.32 ** |
8 | 1.71 | 0.84 * | 2.89 | 0.76 ** | 3.02 | 1.27 ** |
9 | 0.16 | 0.04 ** | 0.21 | 0.04 ** | 0.18 | 0.04 ** |
10 | 0.32 | 8.83 ** | 0.34 | 3.46 ** | 0.57 | 7.54 ** |
11 | 1.52 | 0.01 ** | 1.82 | 0.01 ** | 1.67 | 0.02 ** |
12 | 4.49 | 0.44 ** | 3.56 | 2.89 | 4.42 | 1.30 ** |
13 | 0.53 | 3.58 ** | ND | 0.82 * | 0.21 | 0.47 * |
14 | 0.48 | 0.77 ** | 0.56 | 0.12 ** | 0.58 | 0.56 |
15 | 0.42 | ND ** | 0.51 | ND ** | 0.39 | ND ** |
16 | 0.49 | ND ** | 0.42 | ND ** | 0.17 | ND ** |
17 | 0.66 | 1.32 ** | 0.92 | 0.96 | 0.62 | 0.13 ** |
18 | 1.70 | 0.76 ** | 1.80 | 0.46 * | 1.28 | 0.22 ** |
19 | 0.23 | 1.20 ** | 0.32 | 4.77 * | 0.31 | 0.26 ** |
20 | 0.45 | 0.55 | 0.40 | 0.37 | 0.36 | 0.22 |
21 | 1.79 | 0.14 ** | 1.82 | 0.09 ** | 1.11 | 0.03 ** |
22 | 0.17 | 0.79 * | 0.17 | 0.91 ** | ND | ND |
23 | 2.15 | 1.59 * | 2.40 | 0.86 ** | 1.68 | 0.48 ** |
No. | 13 | 14 | 15 | 16 | 17 | 18 | 20 | 21 | 22 | 23 |
---|---|---|---|---|---|---|---|---|---|---|
1 | 48.5 | 38.6 | 39.9 | 39.4 | 39.1 | 39 | 43.2 | 81.0 | 39.0 | 47.9 |
2 | 69.1 | 26.4 | 27.2 | 27.2 | 28.1 | 32.6 | 66.5 | 71.6 | 27.2 | 68.3 |
3 | 84.4 | 88.5 | 89.2 | 89.2 | 78.3 | 216.1 | 79.6 | 79.8 | 78.2 | 83.6 |
4 | 39.0 | 40.3 | 40.1 | 40.1 | 39.4 | 47.2 | 39.1 | 38.6 | 39.4 | 39.8 |
5 | 56.5 | 55.7 | 56.6 | 56.5 | 55.9 | 55.3 | 49.1 | 48.6 | 55.9 | 55.7 |
6 | 19.5 | 18.5 | 19.2 | 19.0 | 19.0 | 19.7 | 18.8 | 18.9 | 19.0 | 18.6 |
7 | 34.0 | 33.3 | 35.8 | 33.9 | 33.6 | 34.2 | 33.7 | 33.9 | 33.6 | 33.2 |
8 | 41.1 | 39.3 | 40.0 | 40.3 | 40.6 | 40.2 | 40.3 | 41.3 | 40.4 | 39.7 |
9 | 48.4 | 47.5 | 48.8 | 48.6 | 47.8 | 46.6 | 48.3 | 48.8 | 47.8 | 48.1 |
10 | 40.3 | 36.8 | 37.4 | 37.6 | 37.4 | 36.7 | 39.1 | 43.9 | 37.4 | 38.5 |
11 | 24.7 | 23.8 | 24.0 | 24.4 | 24.1 | 23.8 | 24.2 | 26.6 | 24.1 | 23.6 |
12 | 128.8 | 128.2 | 127.0 | 129.1 | 128.5 | 127.6 | 128.8 | 129.6 | 128.1 | 122.2 |
13 | 139.8 | 139.0 | 139.2 | 138.0 | 139.3 | 139.7 | 137.9 | 138.9 | 140.0 | 144.6 |
14 | 42.6 | 41.9 | 45.4 | 43.3 | 42.1 | 42.5 | 43.2 | 42.2 | 42.1 | 42 |
15 | 29.7 | 29.0 | 29.6 | 29.6 | 29.3 | 28.7 | 29.4 | 29.5 | 29.4 | 28.2 |
16 | 26.6 | 25.9 | 27.3 | 26.3 | 26.2 | 26.3 | 26.0 | 28.1 | 26.4 | 23.5 |
17 | 49.1 | 48.4 | 50.4 | 50.3 | 48.7 | 47.2 | 50.2 | 47.9 | 48.3 | 46.4 |
18 | 54.9 | 54.2 | 123.7 | 52.7 | 54.5 | 54.3 | 52.6 | 54.6 | 54.7 | 42 |
19 | 73.1 | 72.4 | 134.3 | 153.9 | 72.7 | 72.3 | 153.7 | 72.8 | 72.7 | 46.4 |
20 | 42.6 | 41.9 | 35.1 | 38.0 | 42.1 | 42.4 | 37.9 | 42.5 | 42.4 | 30.9 |
21 | 27.2 | 26.4 | 31.5 | 31.1 | 26.7 | 35.7 | 31.0 | 27.2 | 24.7 | 34.2 |
22 | 38.2 | 37.5 | 35.6 | 37.6 | 37.7 | 74.8 | 37.4 | 38.6 | 38.5 | 33.1 |
23 | 29.8 | 28.0 | 28.8 | 28.7 | 28.8 | 26.7 | 29.7 | 29.5 | 28.8 | 29.3 |
24 | 17.2 | 16.7 | 16.8 | 17.4 | 16.5 | 21.4 | 22.4 | 22.4 | 16.5 | 17.5 |
25 | 17.5 | 15.4 | 16.6 | 16.2 | 15.7 | 14.7 | 17.7 | 13.2 | 15.6 | 16.6 |
26 | 18.0 | 17.2 | 18.6 | 17.8 | 17.5 | 16.7 | 17.2 | 17.7 | 16.8 | 17.2 |
27 | 25.0 | 24.3 | 22.6 | 26.7 | 24.6 | 24.6 | 26.6 | 24.8 | 24.7 | 25.9 |
28 | 177.4 | 176.7 | 175.1 | 176.5 | 177.0 | 179.6 | 176.5 | 180.9 | 180.7 | 180 |
29 | 27.5 | 26.8 | 20.0 | 110.9 | 27.1 | 19.1 | 110.8 | 27.2 | 27.2 | 33.2 |
30 | 18.1 | 16.4 | 18.9 | 19.9 | 16.7 | 16.4 | 19.7 | 16.9 | 17.3 | 23.7 |
1′ | 107.2 | 108.0 | 108.0 | |||||||
2′ | 72.7 | 73.4 | 73.4 | |||||||
3′ | 74.7 | 74.7 | 75.1 | |||||||
4′ | 69.3 | 70.0 | 70.0 | |||||||
5′ | 66.5 | 67.2 | 67.2 | |||||||
1″ | 96.3 | 95.6 | 96.3 | 96.4 | 95.9 | 96.2 | ||||
2″ | 74.6 | 73.8 | 75.1 | 74.6 | 74.1 | 74.3 | ||||
3″ | 79.7 | 79.0 | 79.6 | 79.4 | 79.3 | 79.1 | ||||
4″ | 71.7 | 71.0 | 71.7 | 71.6 | 71.2 | 71.5 | ||||
5″ | 79.4 | 78.7 | 79.6 | 79.8 | 78.9 | 79.6 | ||||
6″ | 62.8 | 62.1 | 62.8 | 62.8 | 62.4 | 62.6 |
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Sun, J.; Gan, C.; Huang, J.; Wang, Z.; Wu, C.; Jiang, S.; Yang, X.; Peng, H.; Wei, F.; Yang, C. Determination of Triterpenoids and Phenolic Acids from Sanguisorba officinalis L. by HPLC-ELSD and Its Application. Molecules 2021, 26, 4505. https://doi.org/10.3390/molecules26154505
Sun J, Gan C, Huang J, Wang Z, Wu C, Jiang S, Yang X, Peng H, Wei F, Yang C. Determination of Triterpenoids and Phenolic Acids from Sanguisorba officinalis L. by HPLC-ELSD and Its Application. Molecules. 2021; 26(15):4505. https://doi.org/10.3390/molecules26154505
Chicago/Turabian StyleSun, Jiahui, Chunli Gan, Jing Huang, Zhenyue Wang, Chengcui Wu, Shuang Jiang, Xinrong Yang, Hesong Peng, Fanshu Wei, and Chunjuan Yang. 2021. "Determination of Triterpenoids and Phenolic Acids from Sanguisorba officinalis L. by HPLC-ELSD and Its Application" Molecules 26, no. 15: 4505. https://doi.org/10.3390/molecules26154505
APA StyleSun, J., Gan, C., Huang, J., Wang, Z., Wu, C., Jiang, S., Yang, X., Peng, H., Wei, F., & Yang, C. (2021). Determination of Triterpenoids and Phenolic Acids from Sanguisorba officinalis L. by HPLC-ELSD and Its Application. Molecules, 26(15), 4505. https://doi.org/10.3390/molecules26154505