integration of molecular network operation to 2d-hplc-ms for the analysis of aconitum pendulum samples

使用分子联网的 2D-HPLC-MS 分析藏药植物 APB

Tibetan medicine is an integral part of traditional Chinese medicine, adhering to the principles of Tibetan medical practices, and is used for disease prevention and treatment1. However, Tibetan herbal medicine contains complex plant chemical constituents characterized by significant fluctuations in content. Limited understanding of the fundamental bioactive elements has become a bottleneck in the modernization of Tibetan medicine2. The application of liquid chromatography-mass spectrometry (LC-MS), combining the strong separation power of chromatography with the high sensitivity of mass spectrometry (MS), has been widely used in natural medicine analysis3. However, due to the limitation of a single separation mechanism, components with highly similar structures tend to coelute in one-dimensional liquid chromatography separation. In subsequent mass spectrometric analysis, the low-abundance co-eluted components are difficult to detect due to ion suppression caused by high-abundance components4.
2D-HPLC, which stands for two-dimensional high-performance liquid chromatography, represents a novel chromatographic method that harmoniously combines different separation mechanisms using a pair of columns. This includes the fusion or alternation of normal-phase chromatography with reversed-phase liquid chromatography and hydrophilic interaction liquid chromatography with reversed-phase liquid chromatography5. By merging these complementary chromatographic properties, the enhanced separation capability is achieved, effectively addressing the challenges caused by complex sample matrices6. Furthermore, by coupling two-dimensional chromatography with MS, the powerful separation ability of 2D-HPLC and the high sensitivity detection capability of MS can be fully integrated, providing support for the study of complex drug systems and their fundamental constituents7,8,9.
Tibetan medicine commonly features a multifaceted array of components and functionalities, where active ingredients typically exist in intricate compositions and at minimal concentrations. By integrating 2D-LC as a robust separation system and MS as an exceedingly sensitive detector, the challenges posed by intricate samples in terms of separation and identification can be more effectively addressed10,11,12. This amalgamation substantially contributes to advancing the exploration of the chemical composition of Tibetan medicine.
Regardless of whether it is traditional LC-MS or 2D-LC-MS, a vast amount of information can be obtained. However, extracting structural information of complex system components from this massive amount of information has always been a significant challenge. Therefore, researchers have developed various methods for screening and mining MS data. Global Natural Products Social Molecular Networking (GNPS) is an MS/MS data organization and visualization platform where 2D-LC-MS mass spectrometry data can be uploaded13. Each spectrum is considered as a vector and compared to all other spectra using cosine similarity. When the similarity between two spectra exceeds a threshold, they are connected in a molecular network (MN). This can be used for the rapid identification of known compounds and the determination of various unknown natural products14.
Tibetan medicine usually has multiple functions, but its complex composition and significant concentration differences make it difficult to effectively elucidate the relationship between function and material basis15. An in-depth study of Tibetan medicine requires the systematic characterization of as many components as possible. In the framework of this study, we intend to use APB in Tibetan medicine as the research object to demonstrate the strategy and process of systematically studying the complex chemical components of Tibetan medicine using 2D-HPLC-MS technology and MN technology. In the construction of the 2D chromatographic system, we combined reversed-phase liquid chromatography and hydrophilic interaction liquid chromatography with significant separation mechanisms to achieve more effective separation of the complex components of APB16. In addition, to overcome solvent incompatibility between the two dimensions, an at-column dilution modulation mode was adopted. By combining the powerful separation capability of 2D-LC with the high sensitivity detection capability of MS, the spectral information of the complex components in APB is obtained more effectively and comprehensively. Furthermore, through the network and visualization of massive spectral information by MN technology, the components of APB are systematically analyzed. The strategy and process demonstrated in this study are expected to be applied to the study of other Tibetan medicines, promoting research on the material basis of Tibetan medicine, which is of great significance for advancing Tibetan medicine resources and improving quality control standards for Tibetan herbs17. The overall experimental process is shown in Figure 1.
In the experiment presented here, a new at-column dilution modulator was introduced into the Agilent two-dimensional liquid chromatography (2D-LC) system18. By adding an independent delivery pump, the flow path of the analysis was changed, resulting in a high orthogonality of the 2D-LC analysis. The coupling and switching between the two dimensions are accomplished by two six-port valves, as shown in Figure 2. When one sample loop is filled in the first dimension, another sample loop is analyzed in the second dimension. This means that the filling time of the 1D loop and the running time of the 2D are equal. This requires the fast gradient generated by the Binary pump in the second dimension. No peaks are lost when the entire effluent is analyzed. This is particularly helpful for the analysis of unknown samples. It results in a large number of 2D chromatograms that need to be combined for data analysis.

作者聚焦：在自然医学分析中集成 2D-HPLC-MS 和分子网络

2D-HPLC-MS技术结合分子网络鉴定藏药乌头成分

In this study, we employed a comprehensive approach utilizing 2D-HPLC-MS technology in conjunction with molecular networking to unravel the intricate chemical composition of the Tibetan medicinal plant APB. We want to establish a more efficient method for identifying the chemical composition of natural medicines. The main challenging of the current experiments is that the mass spectrometry section is not equipped with high-resolution mass spectrometry, resulting in the detection of different components.2D-LC-MS enables more accurate identification and the quantification of the compounds. Complex mixtures based on sample separation, combined with molecular network technology, it can be better process complex data information and it improves the efficiency and the accuracy of any size. Our laboratory will focus applying existing technologies to get the separation of natural, medicinal, chemical components.

将分子网络操作集成到 2D-HPLC-MS 中，用于乌 头 摆样的分析

要开始数据准备，请导出 2D HPLC-MS 原始质谱数据。接下来，在会话配置页面的WINSCP界面中连接到GNPS FTP服务器，填写连接信息。填写信息后，单击“开始”按钮以建立与GNPS FTP服务器的连接。通过打开 Web 浏览器并访问 GNPS 网站来创建分子网络。新用户需要注册一个帐户，然后登录。在GNPS网站主界面，点击数据分析下的创建分子网络。在“任务创建”页面上，单击“选择输入文件”按钮，然后选择并上传数据文件。在“工作流选项”选项卡中，设置生成分子网络或 MN 的各种参数。这些参数包括峰值提取算法、峰值行程值、相似度计算方法等。根据需要进行适当的参数设置后，单击页面底部的“提交”按钮以运行任务。任务运行完成后，在“作业”页签找到已创建的任务，单击工作流名称，查看分析结果。该网站提供 MN 图、替代品、共生网络和其他相关信息。MN鉴定的APB样品中的4种生物碱成分是乌头碱、14-苯甲酰乌头碱、14-O-乙酰基新碱和高脂菌碱。这四种化合物具有相同的母核。乌头碱、14-苄基乌头碱、14-苯甲酰乌头碱和希乌头碱相似，只是取代基不同。

integration-molecular-network-operation-to-2d-hplc-ms-for-analysis

Research

JoVE Journal

Medicine

Integration of Molecular Network Operation to 2D-HPLC-MS for the Analysis of Aconitum pendulum Samples

16 次观看. 要开始数据准备，请导出 2D HPLC-MS 原始质谱数据。接下来，在会话配置页面的WINSCP界面中连接到GNPS FTP服务器，填写连接信息。填写信息后，单击“开始”按钮以建立与GNPS FTP服务器的连接。通过打开 Web 浏览器并访问 GNPS 网站来创建分子网络。新用户需要注册一个帐户，然后登录。在GNPS网站主界面，点击数据分析下的创建分子网络。在“任务创建”页面上，单击?...

视频: 将分子网络操作集成到 2D-HPLC-MS 中，用于乌 头   摆样的分析

2D-HPLC-MS Technology Combined with Molecular Network for the Identification of Components in Tibetan Medicine Aconitum pendulum

In this study, a comprehensive approach was employed, utilizing 2D-HPLC-MS technology in conjunction with the molecular network to unravel the intricate chemical composition of the Tibetan medicinal plant APB. Through the implementation of 2D-HPLC, enhanced separation of complex mixtures was achieved, enabling the isolation of individual compounds for subsequent analysis. The molecular network approach further aided in elucidating structural relationships among these compounds, contributing to the determination of potential bioactive molecules. This integrated strategy efficiently identified a wide array of chemical components present within the plant. The findings revealed a diverse spectrum of chemical constituents within APB, including alkaloids, among others. This research not only advances understanding of the phytochemical profile of this traditional Tibetan medicine but also provides valuable insights into its potential therapeutic properties. The integration of 2D-HPLC-MS and molecular network proves to be a powerful tool for systematically exploring and identifying complex chemical compositions in herbal medicines, paving the way for further research and development in the field of natural product discovery.

This study utilizes two-dimensional high-performance liquid chromatography-mass spectrometry (2D-HPLC-MS) technology in conjunction with molecular networking to unravel the intricate chemical composition of the Tibetan medicinal plant Aconitum pendulum Busch (APB). The article provides a detailed protocol for the systematic exploration and identification of complex chemical components of herbal medicines.

In this study, a comprehensive approach was employed, utilizing 2D-HPLC-MS technology in conjunction with the molecular network to unravel the intricate ...

科研

医学

Sample Preparation for 2D-HPLC-MS of Aconitum pendulum

Begin sample preparation by weighing the aconitum pendulum bush, or APB. Using a one by 10, 000 sensitivity balance, weigh 0.25 grams of dry APB in a three milliliter micro centrifuge tube. Add 2.5 milliliters of methanol to it and then sonicate for 30 minutes at a power of 240 watts and a frequency of 40 kilohertz.Centrifuge the sonicated sample at 1.2G for five minutes, and collect the supernatant. Filter it through a 0.22 micron membrane filter. Next, prepare the two-dimensional mobile phase by using acetyl nitrile as the organic phase or phase B, and ultra pure water containing 0.1%formic acid as the aqueous phase or phase A.After performing two-phase filtration through the 0.22 micron filter, subject the mobile phases to ultrasonic sonication at 40 kilohertz for 15 minutes.Purge the replaced mobile phase to remove the bubbles. Select a C18 column as the 1D column and a hydrophilic column as the 2D column, and mount them to the instrument. To adjust the appropriate shunt ratio, connect the 2D-LC instrument outline through a T to the mass inlet and the other end of the T to a shunted line.Adjust the flow rate to a suitable value to ensure the appropriate flow rate for the mass spectrum.

乌头摆2D-HPLC-MS的样品制备

Implementing 2D-Liquid Chromatography on Aconitum pendulum Samples for Enhanced Compound Separation

To begin the 2D liquid chromatography, or 2DLC, double-click the instrument one online icon, and the chemical workstation will automatically communicate with the 1260LC and enter the workstation. For the 2DLC method parameter setting, click on the Injector module, right-click Method and set the injection volume, flow rate, and mobile phase time gradient of the 1D pump. Enter the sample runtime under Stop Time.Click on the main menu instrument and click 2DLC Method on the dropdown menu. Select Comprehensive in 2DLC mode. Enter two minutes at modulation time and 1.9 minutes at 2D gradient stop time.Set flow settings to two milliliters. Edit 2D gradient and set wavelengths. After editing the method, select Save Method As on the method menu to name the new method, and click OK.

在 乌头摆 样上实施 2D 液相色谱以增强化合物分离

Mass Spectrometry Following the 2D-LC Operation on Aconitum pendulum Samples

To begin, turn on the switch of the vacuum pump. Open the argon cylinder main valve and the pressure divider valve, and adjust the pressure to about 0.3 megapascals. To set up the MS method, enter the runtime in minutes to 93.00 and enter values to configure acquisition time, polarity, mass range, transfer value number, transfer value duration, and more.Set up scan event details according to the values displayed on the screen. To set data dependent settings, use separate polarity settings as disabled. Set neutral loss within top to three, and product mass list within top to three.Save to configure the settings as the instrument method. Click the sequence setup button to open the sequence table. Enter the sample type, file name, path, sample id, instrument method, location, injection amount, and other information in the form.Save the information to record the sequence listing. Then click the start analysis button to set up and start MS acquisition.

对 乌头摆 样进行 2D-LC 操作后的质谱分析

To begin the data preparation, export 2D HPLC-MS raw mass spectral data. Next to connect to the GNPS FTP server in the WINSCP interface on the Session Configuration page, fill in the connection information. After filling in the information, click the Start button to establish a connection to the GNPS FTP server.Create molecular networks by opening a web browser and visiting the GNPS website. New users need to sign up for an account and then log in. On the main interface of the GNPS website, click Create Molecular Network under Data Analysis.On the Task Creation page, click the select Input Files button, then select and upload the data file. In the Workflow Option tabs, set the various parameters that generate the molecular network or MN.These parameters include the peak extraction algorithm, peak over travel value, similarity calculation method, and so on. After making the appropriate parameter settings as needed, click the Submit button at the bottom of the page to run the task.After the task runs, find the created tasks in the Jobs tab and click the workflow name to view the analysis results. The website provides MN diagrams, substitutes, symbiotic networks, and other related information. Four of the alkaloid components in the APB samples identified by the MN were aconitine, 14-benzoylaconine, 14-O-acetylneoline and hypaconitine.The four compounds had the same parent nucleus. Aconitine, 14-benzyl aconine, 14-benzoylaconine, and hypaconitine were similar, and only the substituents were different.

将分子网络操作集成到 2D-HPLC-MS 中，用于乌 头 摆样的分析

将分子网络操作集成到 2D-HPLC-MS 中，用于乌头摆样的分析