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Using Natural Products Application Solution with UNIFI to Identify Chemical Ingredients and Deduce Possible Herbal Composition from Unknown Traditional Medicine Tablets

Using Natural Products Application Solution with UNIFI to Identify Chemical Ingredients and Deduce Possible Herbal Composition from Unknown Traditional Medicine Tablets

  • Lirui Qiao
  • Robert Lewis
  • Alex Hooper
  • James Morphet
  • Xiaojie Tan
  • Kate Yu
  • Waters Corporation
Traditional Chinese medicines in bowls

Abstract

This application note has described the overall workflow obtained by applying the Natural Products Application Solution with UNIFI to identify and deduce chemical and herbal composition for unknown samples. The workflow progressed from an initial non-targeted screening into a targeted screening process.

Benefits

UltraPerformance LC (UPLC) is combined with orthogonal quadrupole time-of-flight mass spectrometry within the Natural Products Application Solution with UNIFI to identify the unknown chemical ingredients and deduce the potential herbal composition of Traditional Medicine tablets. This comprehensive workflow enables researchers to determine the chemical and herbal composition of completely unknown samples, while significantly enhancing accuracy and efficiency.

Introduction

Traditional Medicines are known for being comprised of extremely complex elements that can include a variety of plants, extracts, minerals, and animal parts. The critical foundation for their effectiveness originates from the chemical ingredients of their raw herbal materials. In a related application note,1 we have described how to efficiently identify chemical ingredients from samples with known plants by utilizing the Natural Products Application Solution with UNIFI and its Traditional Medicine Library. For this type of analysis, a researcher only needs to import the compounds associated with the known plants from the Traditional Medicine Library, and use them as search targets to compare with the acquired data. The result is a list of identified components that can be used for further verification. The workflow has a straightforward strategy and its analytical procedure contains simple steps.

However, the reality is that researchers often need to identify chemical ingredients and deduce possible herbal composition for a completely unknown Traditional Medicine product. This type of work is extremely difficult; many times one may not even know where to start. Because the available sample background information is close to none, even with the large amount of data that can be generated using popular approaches such as LC-MS, researchers are still challenged to narrow down their scope and to obtain meaningful information quickly.

The classic workflow for profiling the components of unknown Traditional Medicine products is this: to manually extract each individual chromatographic peak, propose possible molecular formula based on the exact mass of intact protonated or deprotonated ions, and that result is used to search online libraries to obtain potential hits. Afterwards, fragmentation pathways are deduced based on MS/MS fragment ions so that the proposed chemical structure of a target component is confirmed. This process not only requires manual intervention by researchers in almost every single step throughout the entire process, but also has very high demands for expertise levels (both in natural products and in chemistry), as the researcher must be able to find answers in oceans of information.

The Natural Products Application Solution with UNIFI provides a completely new and comprehensive strategy for solving such a problem. It utilizes the ACQUITY UPLC I-Class System and Xevo G2-S QTof MS to acquire data-independent MSE data. These data are then searched against the integrated Traditional Medicine Library. The structures of the matched components are verified by MassFragment using their corresponding fragment ions. Finally, detailed information of the identified components are displayed automatically in UNIFI using preset workflow templates.

This application note describes how to use the Natural Products Application Solution with UNIFI to identify chemical ingredients and deduce possible herbal content from unknown samples using a Traditional Chinese Medicine (TCM) tablet product as an application example.

Experimental

Sample preparation

Two tablets of a TCM product were used for the analysis. After removing the coatings, they were ground into powder. 500 mg of the powder was dissolved in 50 mL MeOH/H2O (3:1) by ultrasonic the solution for 5 minutes. The final solution was filtered through a 45 μm membrane prior to injection.

LC conditions

LC system:

ACQUITY UPLC I-Class with FTN Sample Manager

Column:

ACQUITY UPLC HSS T3 2.1 x 100 mm, 1.8 μm

Column temp.:

40 °C

Sample temp.:

15 °C

Mobile phase:

A: water (0.1% formic acid); B: acetonitrile

Gradient:

Time

Flow rate (mL/min)

Solvent A (%)

Solvent B (%)

Curves

0

0.6

90

10

Starting

1

0.6

90

10

6

12

0.6

5

95

6

14

0.6

0

100

1

17

0.6

90

10

1

MS conditions

MS system:

Xevo G2-S QTof

Acquisition range:

100-1500 Da

Scan time:

0.1 s

Acquisition mode:

MSE, ESI- and ESI+ in resolution mode

Lock mass:

Leucine Enkephalin (LE) 1 ppm (scan for 0.3 s, interval: 15 s)

Capillary voltage:

3 kV (ESI+)/2.5 kV (ESI-)

Cone voltage:

100 V

Collision energy (eV):

low CE: 6/High CE: 20-50

Source temp.:

120 °C

Desolvation temp.:

500 °C

Cone gas flow:

30 L/h

Desolvation gas flow:

1000 L/h

Acquisition time:

17 min

Data acquisition, processing, and reporting

UNIFI Scientific Information System with Traditional Medicine Library

Results and Discussion

UPLC and QTof MS were used for the ingredient separation and MS data acquisition of the unknown TCM tablet sample. The Natural Products Application Solution with UNIFI along with the Traditional Medicine Library was used for the data processing, which resulted in 288 components identified by having a match from the library. Among them, 37 high-level ingredients were initially verified and labeled as “confirmed” based on fragment analysis by MassFragment.

By associating the confirmed components with potential plants, it was deduced that the tablets may contain DanShen (Salvia miltiorrhiza) and SanQi (Panax notoginseng). By searching the Internet to find known TCM recipes that contain these two herbs, the chemical ingredients (listed from the Traditional Medicine Library) of related herbs from matched recipes can then be used to compare with components found from experiment data. As a result, for this example, 59 major chemical ingredients from the tablets were verified, all from DanShen and SanQi. Hence, the final conclusion was that herbal composition of this TCM product is DanShen and SanQi, which leads us to believe that this product was possibly to be the Sanqi Danshen Tablet or the Compound DanShen Tablet.

The workflow of chemical ingredient analysis with known plants using the Natural Products Application Solution with UNIFI has been described previously in detail.1 For samples that are complete unknown, additional steps would be deducing possible herbal identities, searching online for potential known TCM recipes that contain these herbs, and, from the UNIFI Traditional Medicine Scientific Library, re-importing corresponding compounds related to potential herbs listed in the matched recipes to verify the existence of these herbs. Figure 1 shows the complete workflow of chemical and herbal ingredient identification for unknown samples.

Complete workflow for identifying chemical and herbal ingredient for unknown samples.
Figure 1. Complete workflow for identifying chemical and herbal ingredient for unknown samples.

Figure 2A shows the UPLC/QTof MS base peak ion (BPI) chromatogram for the unknown TCM tablet. With the UNIFI Scientific Information System, the same results can also be displayed in a 3D format, shown in Figure 2B. Compared with 2D plot (Figure 2A), the information displayed from the 3D plot is closer to the true representative of the components within the sample. It provides a directive visual profile that is much more intuitive for observing the entire chemical component distribution of the sample. For example, from Figure 2B, one can quickly conclude that the range of molecular weights of the chemical ingredients from this sample is mainly between 400 and 1000 Da. In addition, it also allows chemists to have a quick observation on the compounds’ coeluting status within the entire run. 

UPLC/QTof MS base peak ion (BPI) chromatogram of the unknown TCM tablet.
Figure 2A. UPLC/QTof MS base peak ion (BPI) chromatogram of the unknown TCM tablet.

The plot displayed in Figure 2B is generated from Apex 3D image scan mode, which is unique to UNIFI. Apart from providing a direct visual effect, it helps to enhance the accuracy of the qualitative and quantitative work for future steps, and it provides major advantages in identifying and eliminating background peaks.

3D LC-MS plot of the unknown TCM tablet.
Figure 2B. 3D LC-MS plot of the unknown TCM tablet.

With the Natural Products Application Solution with UNIFI:

  1. All steps are completed in automated fashion without the need for operator’s intervention. These steps include chromatographic peak extraction, elemental composition determination, Traditional Medicine Library searching, fragment ion structural elucidation, and component identification.
  2. Researchers only need to verify whether the fragment ion structural elucidation that was automatically provided by MassFragment is reasonable or not.
  3. If a false positive is suspected, or any component that is not matched from the Traditional Medicine Library, the researcher can then initiate a manual process for further identification.

Compared with conventional research protocols, the Natural Products Application Solution with UNIFI converts a manual process of seeking meaningful targets from oceans of information into an automated workflow. This significantly reduces the blindness of the work and enhances productivity. Meanwhile, the demands for the researcher’s expertise level is greatly reduced as well.

Figure 3 shows the UNIFI’s results for the chemical ingredients identification of the unknown TCM tablet after data processing. The ingredient table shown in Figure 3B lists the components initially identified from the library match. It is possible to have multiple isomers corresponding to the same chromatographic peak at the same retention time. This is when researchers need to verify whether a match is reasonable by looking at the adduct ions as well as the structural elucidation of the fragmentation ions.

Chemical ingredient identification results in UNIFI for the unknown TCM tablet.
Figure 3. Chemical ingredient identification results in UNIFI for the unknown TCM tablet. 3A shows the template workflows; 3B is the component identification list; 3C is the selected ion chromatogram of single component corresponding to 3B; and 3D is the respective mass spectrum of 3C.

For example, the chromatographic peak at 7.54 minutes is automatically identified by UNIFI as ginsenoside Rb1 or Yesanchinoside E. By clicking the window represented by Figure 3D, an enlarged figure is obtained (Figure 4). Since all fragment ions have been automatically elucidated by the MassFragment, researchers can easily verify whether the fragmentation pathway is reasonable or not. In this example, the compound’s cleavage started from the glycosidic bond, and ended at the formation of protopanaxadiol aglycone fragments, indicating the reasonable structure should be the ginsenoside Rb1, which was then labeled as confirmed.

Structural elucidation of the fragmentation ions of ginsenoside Rb1 by MassFragment.
Figure 4. Structural elucidation of the fragmentation ions of ginsenoside Rb1 by MassFragment.

After component verification and confirmation as shown above, it can be observed that this unknown tablet contains chemical classes such as ginsenosides, salvia phenol, tanshinone, notoginsenoside, etc. These components are clearly associated with the herbal materials of DanShen and SanQi. Further online search indicated that some known TCM recipes that contain these two herbal ingredients could be Sanqi Danshen tablet, and Compound DanShen tablet. Of course, other recipes were also discovered, such as recipes containing American ginseng (Panax quinquefolius) or ShanZha (Crataegi fructus), etc.

Now, this research project has progressed from a non-targeted screening at the initial stage to a targeted screening, which is the chemical ingredient identification of known plants. This part of the workflow has already been well defined,1 which is to import chemical ingredients of known herbal materials (Salvia miltiorrhiza, Panax notoginseng, Panax quinquefolius, and Crataegi fructus) from the Traditional Medicine Library into the target list of the UNIFI analysis method, and compare them with the experimental data.

The result was that no component was matched with the ingredients listed for the American ginseng and ShanZha (such as American ginseng saponin, gynostemma saponin, ShanZha saponin, etc., which are characteristic to these two herbs). This provides further confirmation to the initial conclusion that this tablet doesn’t contain American ginseng and ShanZha. Meanwhile, all major chromatographic peaks obtained from the sample matched well with the major ingredients of DanShen and SanQi (59 key components confirmed), which is listed in Table 1.

Summary table of identified components for the unknown tablet.
Table 1. Summary table of identified components for the unknown tablet. The table was automatically obtained by importing the Component Summary Reporting Template in UNIFI.

Thus our final conclusion is this tablet was mainly composed of DanShen (Salvia miltiorrhiza) and SanQi (Panax notoginseng). The commercial product could be the Sanqi Danshen Tablet, or the Compound DanShen Tablet.

Conclusion

This application note has described the overall workflow obtained by applying the Natural Products Application Solution with UNIFI to identify and deduce chemical and herbal composition for unknown samples. The workflow progressed from an initial non-targeted screening into a targeted screening process.

Sample analysis by UPLC/QTof MS required just 14 minutes. The initial non-targeted screening identified 37 major chemical ingredients, which clearly showed association with DanShen (Salvia miltiorrhiza) and SanQi (Panax notoginseng). By searching the known TCM recipes from the Internet, ingredients related to relevant herbs (Salvia miltiorrhiza, Panax notoginseng, Panax quinquefolius, and Crataegi fructus) were matched against components detected from experiment data for the second time. As a result, among the 103 chemical ingredients associated with Salvia miltiorrhiza and Panax notoginseng within the Traditional Medicine Library, 59 were identified and confirmed. No match was found to match any of the major chemical ingredients related to the other two potential herbs, Panax quinquefolius and Crataegi fructus. This led to our final conclusion that the unknown product could be either a Sanqi Danshen or Compound DanShen tablet.

The Natural Products Application Solution with UNIFI is based on UPLC/QTof MSE data acquisition, accompanied by the Traditional Medicine Scientific Library, which are integrated with an automatic identification process. This is a novel approach for ingredient analysis of total unknown samples. The result is the reduction of the blindness of such a research and significant enhancement of productivity.

References

  1. Using Natural Products Application Solution with UNIFI for the Identification of Chemical Ingredients of Green Tea Extract. Waters Application Note, November 2013; 720004837en.

720004840, November 2013

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