Previous Article in Journal
Mechanism of Lian-Huo-Hua-Zhuo Formula in Alleviating Gastric Mucosal Inflammation in a Mouse Model of Chronic Atrophic Gastritis by Inhibiting the IL-17 Signaling Pathway
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comprehensive Identification of the Chemical Components in the Classical Prescription Shashen Maidong Decoction Based on UPLC-Q-Orbitrap MS and Molecular Networking

1
School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
2
Sichuan Pu Hua TCM Technology Co., Ltd., Chengdu 611100, China
3
College of Modern Traditional Chinese Medicine Industry/Tianfu Traditional Chinese Medicine Innovation Port, Chengdu University of Traditional Chinese Medicine, Chengdu 611930, China
4
College of Chemistry, Sichuan University, Chengdu 610064, China
5
National Key Laboratory for Modern Chinese Medicine Creation Based on Classical Prescriptions, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Pharmaceuticals 2026, 19(7), 1044; https://doi.org/10.3390/ph19071044 (registering DOI)
Submission received: 10 May 2026 / Revised: 17 June 2026 / Accepted: 2 July 2026 / Published: 5 July 2026

Abstract

Background/Objectives: Shashen Maidong Decoction (SMD) has a long history of use within the traditional Chinese medicine (TCM) system and is currently employed in modern clinical practice for the treatment of various diseases. The characterization of the chemical constituents of TCM drugs is a prerequisite and foundation for research into bioactive compounds and quality control. However, no study has yet undertaken a comprehensive identification of its chemical constituents. Therefore, it is necessary to establish suitable analytical methods to comprehensively and systematically characterize the chemical constituents of SMD. Methods: Ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry (UHPLC-Q Exactive orbitrap HRMS) and the Global Natural Products Social Molecular Networking (GNPS) technology were employed. The chemical constituents in SMD were systematically identified by comparing mass spectrometry data with reference standards, databases and relevant literature, and by analyzing mass spectrometry fragmentation patterns. Results: A total of 86 compounds were identified in SMD, including 27 flavonoids, 2 homoisoflavonoids, 34 organic acids, 2 alkaloids, 4 amino acids, 5 saccharides, 3 triterpenes and 9 other constituents. Conclusions: This study represents the first relatively comprehensive and systematic characterization of the chemical constituents in SMD, enriching modern understanding of SMD and laying the foundation for the identification of bioactive compounds, the elucidation of mechanisms of action, and further development and utilization.

1. Introduction

Classical prescriptions of Traditional Chinese Medicine (TCM) consist of combinations of various natural products designed to prevent and treat diseases. Their unique therapeutic effects and mechanisms of action have been validated by long-term clinical practice among TCM practitioners. Classic formulas from TCM represent the essence of the theoretical framework of traditional Chinese medicine, boasting a rich historical heritage and proven clinical efficacy [1,2]. Shashen Maidong Decoction (SMD) has a long history of use in China and has demonstrated reliable therapeutic effects [3]. The formula is derived from “Wen Bing Tiao Bian” by the renowned Qing Dynasty physician Jutong Wu. The text states: “For dryness injuring the yin aspect of the lung and stomach, presenting with fever or cough, SMD is the primary treatment.” Traditionally, it has been primarily used to treat the TCM syndrome pattern of “dryness injuring the yin of the lung and stomach”—a respiratory disorder characterized by persistent cough with scant sputum, and dryness and thirst in the mouth and throat, resulting from dry pathogenic factors or internal heat depleting the yin and body fluids of the lung and stomach. Modern research indicates that, in addition to its use in respiratory diseases [4], such as pneumonia [5,6], chronic bronchitis [7] and lung cancer [8,9]. SMD is also applied in the clinical treatment of a wide range of conditions, including digestive system disorders, ear, nose, and throat disorders and endocrine disorders [10].
The pharmacologically active constituents of TCM herbs and their formulations serve as a crucial link between chemical components and clinical efficacy. They are a core element in ensuring the efficacy and safety of clinical use, and also a central aspect of research into the modernization of TCM. SMD comprises seven herbs including Adenophorae Radix (chinese name: shashen, the root of Adenophora tetraphylla (Thunb.) Fisch. or Adenophora stricta Miq.), Ophiopogonis Radix (chinese name: maidong, the root of Ophiopogon japonicus (L. f.) Ker-Gawl.), Polygonati Odorati Rhizoma (chinese name: yuzhu, the root of Polygonatum odoratum (Mill.) Druce), Trichosanthis Radix (chinese name: tianhuafen, root of Trichosanthis kirilowii Maxim. or Trichosanthes rosthornii Harms), Lablab Semen Album (chinese name: baibiandou, the seed of Dolichos lablab L.), Mori Folium (chinese name: sangye, the leaf of Morus alba L.) and Glycyrrhizae Radix et Rhizoma (Chinese name: gancao, the root of Glycyrrhiza uralensis Fisch., Glycyrrhiza inflata Bat. or Glycyrrhiza glabra L.). Although SMD is widely used and studied in clinical practice, a comprehensive understanding of its chemical profile remains lacking. Clarifying the chemical constituents of this formula is of great significance for elucidating its pharmacological basis, comprehensively evaluating and controlling its quality, and thereby guiding clinical application. Therefore, it is necessary to establish systematic analytical and identification methods to enable the rapid identification and accurate determination of the various constituents in SMD.
Liquid chromatography-mass spectrometry (LC-MS) combines the efficient separation capabilities of liquid chromatography (LC) for complex samples with the high sensitivity and powerful qualitative capabilities of mass spectrometry (MS), enabling effective differentiation of compounds with similar molecular weights [11,12]. Thus, it has become a core method for the rapid characterization and identification of chemical constituents in TCM drugs. In particular, high-resolution mass spectrometry can provide precise mass information on chemical constituents, which is used to accurately deduce their chemical formulas and thereby elucidate their structures [13,14]. Quadrupole-Orbitrap high-resolution mass spectrometry (Q-Orbitrap MS) offers the significant advantages of high resolution, high sensitivity and high stability. By collecting first- and second-order mass spectrometry data for target compounds and comparing this with reference standards and mass spectrometry databases, it is possible to rapidly identify target compounds. Currently, this technology has been widely applied in the chemical identification of TCM herbs and their compound formulations [15,16]. In recent years, molecular networking (MN) on the Global Natural Products Social Molecular Networking (GNPS) platform has emerged as a novel data analysis approach and has gradually become a key research strategy for the discovery and identification of naturally occurring bioactive molecules. MN is a technique that maps the spectral structural space by comparing the similarity of secondary fragments of compounds, and clusters compounds into groups when the similarity exceeds a set threshold [17,18]. At present, LC-MS/MS-based molecular networking is not only widely applied to natural products such as microorganisms [19], fungi [20], marine organisms [21] and plants [22], but its application in the study of single TCMs and TCM herbal formulae is also showing a rapidly growing trend [23,24].
To date, no study has reported a comprehensive identification of the chemical constituents in SMD, which has, to some extent, hindered a deeper understanding of this classic TCM formula. Therefore, this study employed UHPLC-Q Exactive Orbitrap MS combined with MN approach to systematically analyze the major chemical constituents in SMD. The aim is to provide a comprehensive overview of the major compounds of SMD and to summarize their fragmentation patterns, thereby providing more in-depth scientific data to support future research into their in vivo metabolic processes, the determination of quality parameters, and subsequent pharmacological studies, thus enhancing their scientific value.

2. Results

In this study, by comparing retention times (RT) and mass spectrometry (MS) data using GNPS, databases and existing literature, a total of 86 compounds were definitively identified, of which 14 were also compared with reference standards. The identified compounds include 27 flavonoids, 2 homoisoflavonoids, 34 organic acids, 2 alkaloids, 4 amino acids, 5 saccharides, 3 triterpenes and 9 other constituents. The total ion flow diagram (TIC) of SMD (A) and the mixed standard solution (B) obtained in positive and negative ionization modes are shown in Figure 1 (The normalization method is “Largest peak in selected time range”). The visualization results obtained from the GNPS molecular network (MN) analysis are shown in Figure 2. As certain compounds had not been reported in the existing literature and lacked secondary mass spectrometry data for reference, these compounds were disregarded and excluded. Information on the identified compounds is presented in Table 1, and structures of each compound are shown in Figure 3.

2.1. Identification and Structural Analysis of Saccharides

In this study, a total of five sugar compounds were identified from SMD in both positive and negative ion modes, including Iditol (2), Sucrose (3), α,α-Trehalose (4), Fructose (7) and Galactose (8). The molecular network identified two sugar compound nodes within the molecular cluster of Saccharides (Figure 2a). Take compound 5 as an example to analyze the fragmentation patterns.
In negative ion mode, the quasi-molecular ion peak for compound 4 is m/z: 341.1090 [M−H], with the Xcalibur software 4.0 fitting the corresponding molecular formula as C12H22O11. During the mass spectrometry fragmentation process, the molecular ion peak can be observed to sequentially lose CH3O and C8H13O7 to form the fragment ion peak m/z 89.0235 [M-H-CH3O-C8H13O7], and subsequently, upon the loss of H2O, the fragment ion m/z 71.0129 [M-H-CH3O-C8H13O7-H2O] was observed. In addition, the following fragment ions were also observed: m/z 101.0236 [M-H-C4H8O4-C4H8O4], m/z 161.0450 [M-H-C6H12O6], m/z 143.0346 [M-H-C6H12O6-H2O], m/z 179.0557 [M-H-C6H10O5] and m/z 119.0343 [M-H-C6H10O5-C2H4O2]. Based on the exact molecular mass in negative ion mode and the characteristic fragment ion information, combined with data from the literature [28,29], the compound was identified as α,α-Trehalose. Its possible cleavage pathways are shown in Figure 4.

2.2. Identification and Structural Analysis of Flavonoids

Flavonoids are a class of compounds that are widely found in nature. They are distinguished by having a basic C6-C3-C6 skeleton, which is made up of two benzene rings connected by three carbon atoms. Through comparison with reference standards, analysis of secondary mass spectrometry fragmentation patterns, and comparison with literature data, a total of 27 flavonoid components were identified or inferred from the SMD. These represent one of the major classes of compounds identified by SMD and are primarily derived from Glycyrrhizae Radix and Mori Folium. Concurrently, MN analysis identified seven clusters of flavonoid compounds. The fragmentation patterns of these compounds are similar, typically involving the cleavage of glycosidic bonds, Diels–Alder (RDA) cleavage of the C-ring of the flavanone aglycone, and ion loss patterns such as CO, H2O and CO2 [87].
In positive ion mode, compound 40 produces a parent ion peak at m/z 417.1184, corresponding to the ion mode [M+H]+. The parent ion undergoes the aforementioned splitting rule to generate the corresponding fragment ion peaks. First, through the cleavage of the sugar chain and the loss of one glucose unit (-Glu), a fragment ion of m/z 255.0665 [M+H-Glu]+ is formed. Subsequently, RDA cleavage or further fragmentation occurs on the C ring of this ion, resulting in the loss of CO and the generation of fragment ions m/z 137.0347 [C7H4O3+H]+, and m/z 227.0706 [M+H-Glu-CO]+ fragment ions. Based on the above cleavage patterns, it is inferred that compound 40 is Daidzin [60]. The possible mass spectrometry cleavage pathways are shown in Figure 5.
The precursor ion of compound 41 is m/z 417.1193 [M−H], which undergoes the same typical cleavage reaction. Based on the secondary mass spectrometry data, m/z 255.0665 can be inferred; [M-H-Glu] is produced by the loss of a glucose residue (162 Da), whilst an RDA cleavage reaction on the C ring yields the fragment ions m/z 135.0081 [C7H4O3-H] and m/z 119.0495 [C8H8O-H]. By comparing the secondary mass spectrometry data with that of reference standards and literature reports, the compound was identified as Liquiritin [61,62], and its possible cleavage pattern is shown in Figure 6.
Compound 75 has a retention time of 27.99 min, with a parent ion at m/z 267.0668 [M−H], with the software-fitted molecular formula being C16H12O4. Its secondary fragment ions are m/z 252.0429 [M-H-CH3], m/z 223.0399 [M-H-CH3-CO], and m/z 195.0450 [M-H-CH3-2CO]. These are characteristic fragment ions obtained when the quasi-molecular ion first loses a CH3 group, followed by further cleavage. Based on database entries, reference standards and fragment information reported in the literature, the compound was identified as Formononetin [28,79]. The possible cleavage mechanism is shown in Figure 7.
Compound 60 exhibits an excimer ion peak at m/z 285.0410 [M−H]. In secondary mass spectrometry, m/z 151.0034 [M-H-C8H6O2] and m/z 133.0288 [M-H-C7H4O4] fragments, resulting from RDA cleavage of the parent ion, were observed. Furthermore, the loss of CO2 from the C-ring of the parent ion to the characteristic fragment m/z 241.0449 [M-H-CO2] was observed; comparison with data reported in the literature suggests that Compound 60 is luteolin [60].

2.3. Identification and Structural Analysis of Homoisoflavonoids

Methylophiopogonanone A (80) and methylophiopogonanone B (81) are two homoisoflavonoids identified from SMD, both derived from Ophiopogonis Radix. Homoisoflavonoids belong to a special class of flavonoids; their structure contains one additional methylene group compared to isoflavones, formed by the attachment of a benzyl group to the C3 position of chromone or chromanone. Due to the presence of the methylene group, this position is prone to cleavage during high-energy collisions in mass spectrometry, causing the bond between the C ring and the B ring to break and thereby generating fragment ions lacking the B ring.
In the cation mode, the protonated molecule of compound 80 was detected at m/z 343.1176 [M+H]+, corresponding to the molecular formula C19H18O6. Subsequently, the bond connecting the C ring and the B ring in this molecule cleaved, yielding 207.0653 [M+H-C8H8O2]+, and 135.0554 [M+H-C12H10O2]+. The former immediately loses a H2O molecule, yielding 189.05757 [M+H-C8H8O2-H2O]+. Following comparison with databases and reference standards, and in conjunction with the characteristic ion fragments reported in the literature [83], this compound was identified as methylophiopogonanone A. Its possible cleavage pattern and secondary mass spectrum are shown in Figure 8.
Compound 81 (m/z 327.1233, [M+H]+), corresponding to the molecular formula C19H20O5, exhibited the same fragmentation behavior during mass spectrometry: the bond connecting the C ring and the B ring was cleaved, yielding 207.0653 [M+H-C8H9O]+ and 121.0750 [M+H-C11H11O4]+, followed by the loss of -CH3 at m/z 106.0504 [M+H-C11H11O4-CH3]+, yielding the major fragment ion detected. Based on literature data and comparison with reference standards [83], this compound was identified as methylophiopogonanone B.

2.4. Identification and Structural Analysis of Organic Acids

In nature, organic acids are a class of acidic organic compounds that are commonly found in plants. In mass spectrometry, they often appear as [M−H] precursor ion peaks and, upon high-energy collisions, primarily form fragment ions such as [M-H-H2O] or [M-H-CO2]. Analysis has identified 40 organic acid components in the SMD. Based on differences in carboxyl groups and linking groups, these are classified into two major categories: fatty acids and phenolic acids. The organic acids identified in this study are widely distributed across seven Chinese herbal medicines in the SMD. Within the molecular network, four clusters labeled as organic acids were identified, annotating a total of eight nodes (Figure 2f,h,j,o).
Compound 26, in negative ion mode, exhibited an excimer ion peak of m/z 353.0883 [M−H] in the first-stage mass spectrometry, corresponding to the molecular formula C16H18O9. Second-stage mass spectrometry analysis revealed that the parent ion [M−H] fragmented, losing C9H6O3 and C7H10O5 to produce two fragment ions, namely m/z 191.0558 [M-H-C9H6O3] and m/z 179.0347 [M-H-C7H10O5]. Subsequently, the fragment ion at m/z 191.05559 lost one molecule of H2O to form the fragment ion m/z 173.0453 [M-H-C9H6O3-H2O], whilst another fragment ion at m/z 179.03392 further lost one molecule of CO2 to yield the fragment ion m/z 135.0444 [M-H-C7H10O5-CO2]. Based on database searches, comparison with literature data and reference standards, compound 26 was identified as chlorogenic acid [47]. Its possible cleavage pattern is shown in Figure 9.
During mass spectrometry fragmentation, fragment ions of compound 48 (m/z 187.0973 [M−H], C9H16O4) were detected at m/z 169.0863, m/z 125.0965, m/z 97.0650, and m/z 69.0338. Analysis revealed that the parent ion underwent a specific fragmentation reaction, whereby the parent ion first lost one molecule of H2O to produce the m/z 169.0863 [M-H-H2O], and subsequently this fragment ion undergoes further cleavage, sequentially losing CO2, C2H4 and C4H8 to yield m/z 125.0965 [M-H-H2O-CO2]−, m/z 97.0650 [M-H-H2O-CO2-C2H4], and m/z 69.0338 [M-H-H2O-CO2-C4H8]−. It is inferred that the compound is azelaic acid [28], and its possible cleavage pattern is shown in Figure 10.

2.5. Identification and Structural Analysis of Triterpenes

In this study, three triterpenoid compounds were identified from SMD, all of which were derived from Glycyrrhizae Radix et Rhizoma. Two triterpenoid compound nodes were identified in the MN: Licoricesaponin G2 (69) and glycyrrhizinic acid (73). As most triterpenes in Glycyrrhizae Radix et Rhizoma possess a glucuronic acid moiety at the R2 position, they typically exhibit the elimination of the glucuronic acid group (GlcA; C6H8O6, 176 Da) during high-energy collision-induced dissociation.
In negative ion mode, the quasi-molecular ion peak of compound 73 was detected at m/z 821.3969 [M−H], corresponding to the molecular formula C42H62O16, and produced the following secondary fragment ions: m/z 759.4012, m/z 469.3319, m/z 351.0573. The m/z 759.4012 [M-H-H2O-CO2] peak was obtained from the parent ion after the loss of one molecule of H2O and one molecule of CO2; m/z 469.3319 [M-H-2GlcA] peak and m/z 351.0573 [M-H-C30H46O4] fragment ions were obtained from the parent ion after the loss of two molecules of glucuronic acid (GlcA). Based on database searches, the literature [61] and comparison with reference standards, the compound was identified as glycyrrhizinic acid. Its possible cleavage pattern is shown in Figure 11.

2.6. Identification and Structural Analysis of Amino Acids

This study screened and identified four amino acid-derived compounds, including Histidine (1), Phenylalanine (34), Tryptophan (22), etc. The splitting rule of these amino acid-derived compounds primarily involves the carboxyl and amino functional groups, with α-cleavage being the main pathway, often accompanied by the loss of carboxyl and amino radicals.
The precursor ion of compound 1 is m/z 154.0619 [M−H], and software fitting indicates the molecular formula as C6H9N3O2. Secondary mass spectrometry data show that the precursor ion lost an amino group to form m/z 137.0350 [M-H-NH3], followed by the loss of a carbonyl group to form m/z 93.0449 [M-H-NH3-CO2]. Based on this secondary fragmentation data, combined with database and literature comparisons [25], compound 1 is proposed to be Histidine. Its possible cleavage pattern is shown in Figure 12.
The secondary mass spectrum of compound 35 (m/z 164.0712 [M−H], C9H11NO2) shows the following characteristic fragment ions: m/z 147.0445 [M-H-NH3], 120.0447 [M-H-CO2], and m/z 103.9194 [M-H-CO2-NH3]. By comparison with relevant literature [55], it can be determined that compound 46 is Phenylalanine.

2.7. Identification and Structural Analysis of Alkaloids

Alkaloid compounds exhibit strong responses in positive ion mode, and α-cleavage readily occurs during mass spectrometric fragmentation, yielding corresponding characteristic fragment ions. In this study, two alkaloid compounds were identified from SMD. Compound 8 exhibited a parent ion peak at m/z 118.0962 [M+H]+ in positive ion mode. During fragmentation, α-cleavage occurred, yielding fragment ions m/z 59.0548 [M+H-N(CH3)3]+ and m/z 58.9149 [M+H-CH3COOH]+. Based on its cleavage pattern and characteristic fragment ions, and by cross-referencing with the database, reference standard and literature data [28,33], it was identified as betaine.

2.8. Identification and Structural Analysis of Other Constituents

In addition to the eight compounds mentioned above, other types of compounds, including coumarins, lignans, phenols, aldehydes, etc., were identified in the SMD. These were also confirmed by comparison with characteristic fragment ions reported in databases and existing literature. Taking Pteryxin (83) as an example, in positive ion mode, the parent ion peak is m/z 404.1702 [M+NH4]+, and the secondary mass spectrum reveals characteristic fragment ions including m/z 287.0915 [M+H-CH3CH=C(CH3)COOH]+ and m/z 245.0804 [M+H-CH3COO-CH3CH=C(CH3)CO]+, and m/z 227.0701 [M+H-CH3COOH-CH3CH=C(CH3)COOH]+. According to data from the literature, this is inferred to be pteryxin [85].

3. Discussion

In China, SMD, as a classic formula with extensive clinical applications throughout history, has attracted widespread attention from researchers and industry; however, the pharmacologically active constituents underlying its efficacy have not yet been fully elucidated. Currently, in the field of TCM analysis, liquid chromatography-tandem mass spectrometry (LC-MS/MS) plays a dominant role in the analysis of TCM compound formulations. However, the analysis and annotation of the vast amounts of mass spectrometry data generated by this technique represent a significant bottleneck in current research [88]. GNPS, as an online analytical platform, can cluster molecules with similar fragment ions into clusters and visualize them as molecular networks. By calculating fragment ion similarity, it reveals the chemical relationships between molecules, thereby enabling the rapid identification of complex chemical components [89].
By integrating high-resolution mass spectrometry with the GNPS platform, this study has established a research strategy suitable for the rapid analysis and structural identification of chemical constituents in TCM prescriptions, effectively addressing the high costs and low efficiency associated with traditional methods in the discovery of TCM constituents [90]. The identification results indicate that flavonoids, organic acids and sugars constitute the main constituents of SMD. Pharmacological studies indicate that these constituents generally exhibit anti-inflammatory, antitumor and antioxidant activities. For example, flavonoids, such as isoliquiritigenin, liquiritin, quercetin, etc., have been demonstrated to possess potential antitumor properties [91]. Quercetin has also shown positive effects in efficacy assessments in mouse models of asthma [92]. In a chronic bronchitis model, kaempferol and quercetin have been found to mediate the anti-inflammatory effects of SMD by reducing interleukin-6 levels; meanwhile, network pharmacology and molecular docking studies have revealed that both are key components in the treatment of radiation pneumonitis and chronic bronchitis [6,7]. Oxidative stress is a key factor in the development of chronic bronchitis [93]. The flavonoids identified in this study, such as rutin, can significantly reduce MDA levels in lung tissue from rats with pulmonary fibrosis, increase glutathione (GSH) levels and superoxide dismutase (SOD) activity in lung tissue, enhance total antioxidant capacity in serum, and reduce nitric oxide (NO) levels in lung tissue [94]. Furthermore, the homoisoflavonoids compounds methylophiopogonanone A and methylophiopogonanone B, derived from Ophiopogonis Radix, both possess good antioxidant activity [95,96]. An animal study demonstrated that Chlorogenic acid can enhance the antioxidant capacity of lung tissue, inhibit the spread of inflammation, and prevent paraquat-induced pulmonary fibrosis [97]. Polysaccharides derived from Ophiopogonis Radix and Polygonati Odorati Rhizoma have also been shown to improve inflammation and lung injury [98,99].
Terpenoids possess a variety of pharmacological activities, including anti-inflammatory, anti-tumor, antibacterial, antioxidant properties, etc. For example, 18-β-glycyrrhetinic acid not only exhibits anti-inflammatory effects [100], but in lung cancer research, it has also been shown to induce apoptosis in A549 cells, arrest the cell cycle, and inhibit cell migration. It is therefore considered a highly promising candidate for the treatment of lung cancer [101]. Licoricesaponin G2 can inhibit the activation of the TNF-α signaling pathway, modulate the epithelial–mesenchymal transition and remodeling of the extracellular matrix, thereby effectively alleviating the symptoms of pulmonary fibrosis [102]. In the field of anti-tumor therapy, it can also inhibit the PI3K/AKT signaling pathway, modulate the characteristics of tumor stem cells, and induce ferroptosis, thereby exerting an anti-lung cancer effect [103]. These compounds partially explain the pharmacological basis underlying SMD’s anti-inflammatory, anti-fibrotic, anti-tumor and antioxidant activities, which are particularly relevant to their application in the treatment of lung diseases. It is worth noting that the characteristic chemical constituents identified in this study via mass spectrometry not only align with the traditional uses of SMD in the treatment of pulmonary diseases, but also provide some evidence supporting a new application of SMD in alleviating cognitive impairment induced by chronic intermittent hypoxia (the neuroprotective effects of isoliquiritigenin) [3,104].
Furthermore, as research progresses, an increasing number of researchers are combining molecular networking with other mass spectrometry processing software to provide insights for the discovery of new compounds. Molecular networking is a technique developed on the basis of comparing MS/MS spectra; consequently, a high-quality MS/MS database is crucial for annotating the chemical composition of compounds in molecular networking analysis [89]. In the visualization map of this experiment, we can observe a large number of unassigned clusters and nodes. This suggests that many compounds cannot be effectively identified. Currently, the MS/MS fragment libraries available on the GNPS platform contain limited MS1 and MS/MS data regarding TCM herbs or their formulations. Future research should actively encourage the expansion of mass spectrometry databases related to traditional Chinese medicinal materials, whilst prioritizing the introduction of additional computational tools for compound identification to enhance the annotation rate of individual constituents.
In addition to characterizing the overall chemical composition of SMD, this study analyzed individual decoction samples of the seven TCM herbs comprising SMD, and attributed the chemical constituents identified in SMD to TCM herbs. This provides a reference for subsequent analyses of components migrating into the bloodstream and for research into the pharmacologically active constituents of the compound. The findings of this study are of significant importance for the clinical application of SMD, and the identification of multiple active constituents opens up possibilities for personalized medicine. However, this study still has certain limitations: firstly, although UHPLC-Q-Exactive Orbitrap-MS technology offers extremely high sensitivity and resolution for the qualitative analysis of compounds, it is unable to distinguish between stereoisomers directly. Given the complex composition of traditional Chinese medicine, which contains a large number of isomers, the identification of these isomers is a highly challenging task that still requires the use of specialized techniques such as chiral columns and ion mobility mass spectrometry [105].
Secondly, the quality of TCM formulations is fundamental to ensuring consistent therapeutic efficacy; therefore, quantitative analysis is essential. The quality of TCM formulations depends directly on the content of their active ingredients; quality control must therefore involve quantitative analysis of the bioactive substances to determine the specific content and contribution of each compound within the formulation. Although existing research has already made it possible to make preliminary predictions regarding the active components in SMD, further in-depth pharmacological experiments are required to verify the specific active substances, confirm the quality markers of SMD, and subsequently establish a comprehensive quality control system for these markers [106]. In the next phase of this study, we will further combine major classes of compounds or individual active substances associated with the primary pharmacological effects of SMD to establish quantitative analytical methods for the major constituents of SMD. This will ensure the reliability of SMD in modern clinical applications.

4. Materials and Methods

4.1. Medicines and Reagents

The SMD freeze-dried powder (251209) and the freeze-dried powders obtained by decocting the seven TCM herbs separately (251109–251115) were both supplied by Sichuan Pu Hua TCM Technology Co., Ltd (Chengdu, China). The 14 reference standards include rutin (PS012233), quercetin (PS014278), glycyrrhizin (batch no.: PS012028), glycyrrhizinic acid (PS021263), chlorogenic acid (PS014337), isoliquiritigenin (PS021101), caffeic acid (PS014204), methylophiopogonanone A (PS011641), methylophiopogonanone B (PS000488), hyperoside (PS014172), formononetin (PS000674), kaempferol (PS012233), apigenin (PS013992) and betaine (PS012048), all purchased from Chengdu Push Bio-Technology Co., Ltd. (Chengdu, China)
Analytical-grade chemicals included: acetonitrile and methanol (HPLC grade, Thermo Fisher Scientific, Chengdu, China); formic acid (LC-MS grade, Thermo Fisher Scientific, Chengdu, China); ultrapure distilled water (Watson’s Water, Hong Kong, China).

4.2. Sample Preparation for UHPLC-Q Exactive Orbitrap HRMS Analysis

Approximately 0.5 g of SMD freeze-dried powder and 0.5 g of freeze-dried powder from the decoction of each individual TCM herb were accurately weighed, placed in stoppered conical flasks, and 50 mL of 50% (v/v) methanol was carefully added. The flasks were tightly sealed, weighed, subjected to ultrasonic treatment (power 250 W, frequency 40 kHz) for 30 min, allowed to cool, weighed again, made up to the weight lost during the ultrasonic extraction with 50% methanol, shaken well, filter through a 0.22 µm polypropylene membrane filter.

4.3. Preparation of Standard Solutions

The 14 reference standards were precisely weighed, dissolved in 50% methanol and made up to volume to prepare a mixed solution containing 100 μg/mL of each compound. This solution was stored at 4 °C for subsequent UHPLC-MS analysis.

4.4. UHPLC-Q Exactive Orbitrap HRMS Analysis

UHPLC-HRMS analysis was performed on a Vanquish rapid separation binary system coupled with a Q Exactive Orbitrap mass spectrometer equipped with a heated electrospray ionization source (HESI), which was operated in both positive and negative ion modes (Thermo Fisher Scientific Inc., Waltham, MA, USA).
Chromatographic separation was performed using a Vanquish UHPLC system equipped with a binary pump and a Waters ACQUTIY UPLC ® HSS T3 column (100 × 2.1 mm, 1.9 μm particle size; Waters Corporation, Chengdu, China) maintained at constant temperature (30 °C). The mobile phase consisted of acetonitrile (phase A) and ultrapure water containing 0.1% (v/v) formic acid (phase B) for both positive and negative ionization modes. The flow rate was maintained at 0.30 mL/min with an injection volume of 2 μL. The optimized elution gradient was as follows: 0–1 min, 5% A; 1–2 min, 5–7.5% A; 2–4 min, 7.5–11% A; 4–7 min, 11–14% A; 7–8 min, 14–15% A; 8–18 min, 15% A; 18–26 min, 15–40% A; 26–30 min, 40–95% A; 30–34 min, 95% A; 34–35 min, 95–5% A; 35–36 min, 5% A.
Mass spectrometry analysis was performed using a Q-Exactive Orbitrap MS, with detection in both positive and negative ion modes via the HESI source. The ion spray voltages were set at 3.5 kV (+) and 3.2 kV (−), respectively. The sheath gas flow rate was set to 35.0 Arb, and the carrier gas flow rate to 10 Arb. The probe heater temperature was 350 °C (+) and 300 °C (−). The scanning mode was set to Full MS/data-dependent MS2 (Full MS/dd-MS2). The primary Full MS selected a resolution of 70000 FWHM, with the dd-HRMS2 resolution set to 17,500 and the scan range of 100–1500. The stepped normalized collision energies (NCEs) were 20, 40, and 60 eV. S-lens RF level was 50.

4.5. Data Processing and Analysis Strategy

Firstly, a systematic search was conducted in PubMed, Web of Science, the Wanfang databases and China National Knowledge Infrastructure (CNKI) for literature on the chemical constituents of the seven TCM herbs comprising SMD. Information such as chemical formulas, molecular weights and secondary fragment ions was collated to establish a database of SMD’s chemical constituents.
Next, the raw data acquired by high-resolution mass spectrometry were pre-processed using the Compound Discover 3.3 mass spectrometry data processing software to establish a workflow for the identification of unknown compounds. The Xcalibur 4.0 workstation was used to calculate the exact molecular masses of the unknown compounds and to extract information such as protonated ion peaks and characteristic fragment ions.
Initially, raw mass spectrometry data were matched and screened against the SMD chemical composition database and the ChemSpider database; subsequently, unknown chemical components were identified by cross-referencing secondary mass spectrometry fragments with mzCloud, the mzVault secondary mass spectrometry database, the HMDB (https://hmdb.ca/, accessed on 5 February 2026) database, reference standards, and our own SMD database (whilst simultaneously comparing the mass spectrometry data with blank samples to further rule out interference). In addition, we compared the SMD mass spectrometry data with that obtained from individual TCM herbs to identify the sources of the chemical constituents in the SMD. Thirdly, using GNPS molecular network technology, compounds with similar MS/MS fragmentation patterns are grouped into molecular clusters connected by multiple nodes, producing visualized results that enable the detection and identification of unknown compounds based on fragment similarity. The workflow for constructing and analyzing GNPS molecular networks is as follows: Using ProteoWizard MSconvert software (version 3.0.26070), the raw mass spectrometry data files were converted into mzML format and uploaded via FileZilla to GNPS for data analysis (https://gnps.ucsd.edu, accessed on 15 March 2026), resulting in the generation of a molecular network.
During the construction of the molecular network, the cosine score threshold was set to 0.7, with a mass tolerance of 0.02 Da for both precursor and fragment ions, and a minimum of 6 matching fragment ions; all other parameters were left at their default values. Finally, the generated molecular network was visualized using Cytoscape software (version 3.10.0). Based on the fragment ion information provided by the GNPS platform and database, and in conjunction with fragmentation patterns reported in the literature, the identified components were compared and verified. Fragmentation patterns were summarized, and the chemical composition of SMD was determined and analyzed.

5. Conclusions

This study is the first to comprehensively identify the constituents of SMD using UHPLC-Q Exactive orbitrap HRMS combined with MN, identifying a total of 86 chemical components (including flavonoids, homoisoflavonoids, organic acids, alkaloids, amino acids, saccharides, triterpenes and other constituents). Furthermore, by analyzing decoction samples of individual herbs of SMD, this study identified the TCM herbal origins of the chemical constituents in SMD. This study lays the chemical foundation for the subsequent screening of bioactive compounds and quality control of SMD, whilst providing a reliable scientific basis for elucidating their pharmacological mechanisms. It also offers an effective method for the rapid qualitative analysis of chemical constituents in TCM prescriptions.

Author Contributions

K.Z. and W.X. made equal contributions to this research. Writing—original draft preparation, data curation and writing—review and editing, K.Z.; writing—original draft preparation, investigation, visualization and writing—review and editing, W.X.; visualization, Q.W.; investigation, H.H.; project administration and supervision, X.X.; software, D.Z.; project administration and supervision, Y.Q.; conceptualization, methodology and writing—review and editing, M.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding authors.

Acknowledgments

The authors acknowledge all individuals who contributed their effort and collaboration to this research.

Conflicts of Interest

Author Qiang Wang and Kun Zhang was employed by the company Sichuan Pu Hua TCM Technology Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
GNPSGlobal Natural Products Social Molecular Networking
GSHGlutathione
LC-MSLiquid chromatography-mass spectrometry
MNMolecular networking
NONitric oxide
SMDShashen Maidong Decoction
SODSuperoxide dismutase
TCMTraditional Chinese Medicine

References

  1. Liu, S.Y.; Song, J.; Tang, Z.; Han, W. Thinking about research on medicinal materials and decoction pieces used in traditional Chinese medicine compound preparations developed from catalogued ancient classical prescriptions. Zhongguo Zhong Yao Za Zhi 2025, 50, 2883–2887. [Google Scholar] [CrossRef] [PubMed]
  2. Liu, C.; Gao, P.; Liu, X.; Kuang, M.; Xu, H.; Wu, Y.; Liu, W.; Wang, S. Reunderstanding the classical prescription Banxia Xiexin Decoction: New perspectives from a comprehensive review of clinical research and pharmacological studies. Chin. Med. 2025, 20, 39. [Google Scholar] [CrossRef] [PubMed]
  3. Zhao, Y.; Yang, S.; Guo, Q.; Guo, Y.; Zheng, Y.; Ji, E. Shashen-Maidong Decoction improved chronic intermittent hypoxia-induced cognitive impairment through regulating glutamatergic signaling pathway. J. Ethnopharmacol. 2021, 274, 114040. [Google Scholar] [CrossRef] [PubMed]
  4. Lan, X.; Yan, B.; Zhang, X.; Liu, W. Research Progress of Shashen Maidong Decoction in the Treatment of Respiratory Diseases. Guangming J. Chin. Med. 2025, 40, 2061–2064. [Google Scholar]
  5. Wang, J.; Ma, X.; Wei, S.; Yang, T.; Tong, Y.; Jing, M.; Wen, J.; Zhao, Y. Clinical Efficacy and Safety of Shashen Maidong Decoction in the Treatment of Pediatric Mycoplasma Pneumonia: A Systematic Review and Meta-Analysis. Front. Pharmacol. 2021, 12, 765656. [Google Scholar] [CrossRef] [PubMed]
  6. Duan, Q.; Wang, M.; Cui, Z.; Li, R.; Ma, J. Mechanism of Shashen Maidong Decoction in the Treatment of Radiation Pneumonitis Based on Network Pharmacology and Molecular Docking. Curr. Pharm. Des. 2025, 31, 3219–3233. [Google Scholar] [CrossRef] [PubMed]
  7. Zhou, W.; Hu, Y.; Qiu, Y.; Zheng, H.; Jiang, J.; Luo, J.; Wu, J.; Yuan, H.; Zhou, X.; Gong, L.; et al. Shashen Maidong Decoction’s Effects on Chronic Bronchitis: A Multi-Method Approach. Curr. Pharm. Des. 2025, 31, 3074–3089. [Google Scholar] [CrossRef] [PubMed]
  8. Zheng, Y.; Yang, S.; Si, J.; Zhao, Y.; Zhao, M.; Ji, E. Shashen-Maidong Decoction inhibited cancer growth under intermittent hypoxia conditions by suppressing oxidative stress and inflammation. J. Ethnopharmacol. 2022, 299, 115654. [Google Scholar] [CrossRef] [PubMed]
  9. Cai, J.; Chen, Y.; Wang, K.; Li, Y.; Wu, J.; Yu, H.; Li, Q.; Wu, Q.; Meng, W.; Wang, H.; et al. Decoding the key compounds and mechanism of Shashen Maidong decoction in the treatment of lung cancer. BMC Complement. Med. The. 2023, 23, 158. [Google Scholar] [CrossRef]
  10. Zhao, F.; Zhou, X.; Chen, J.; Zhu, L.; Zhang, M. Research Progress on the classical prescription Shashen Maidong Decoction. Mod. J. Integr. Tradit. Chin. West. Med. 2025, 34, 2895–2900. [Google Scholar]
  11. Zhu, H.; Wu, X.; Huo, J.; Hou, J.; Long, H.; Zhang, Z.; Wang, B.; Tian, M.; Chen, K.; Guo, D.; et al. A five-dimensional data collection strategy for multicomponent discovery and characterization in Traditional Chinese Medicine: Gastrodia Rhizoma as a case study. J. Chromatogr. A 2021, 1653, 462405. [Google Scholar] [CrossRef] [PubMed]
  12. Yang, Y.L.; Adel Al-Mahdy, D.; Wu, M.L.; Zheng, X.T.; Piao, X.H.; Chen, A.L.; Wang, S.M.; Yang, Q.; Ge, Y.W. LC-MS-based identification and antioxidant evaluation of small molecules from the cinnamon oil extraction waste. Food Chem. 2022, 366, 130576. [Google Scholar] [CrossRef] [PubMed]
  13. Bouslimani, A.; Sanchez, L.M.; Garg, N.; Dorrestein, P.C. Mass spectrometry of natural products: Current, emerging and future technologies. Nat. Prod. Rep. 2014, 31, 718–729. [Google Scholar] [CrossRef] [PubMed]
  14. Li, Y.; Liang, J.; Gao, J.N.; Shen, Y.; Kuang, H.X.; Xia, Y.G. A novel LC-MS/MS method for complete composition analysis of polysaccharides by aldononitrile acetate and multiple reaction monitoring. Carbohydr. Polym. 2021, 272, 118478. [Google Scholar] [CrossRef] [PubMed]
  15. Wu, J.; Cai, K.; Chen, Z.; Hou, W.; Wang, Q.; Chen, H.; Xie, Z.; Liao, Q. Identification and screening of potential anti-pneumonia active ingredients and targets of Qing-Kai-Ling oral liquid via UHPLC-Q-Exactive Orbitrap mass spectrometry based on data post-processing. J. Chromatogr. A 2024, 1736, 465391. [Google Scholar] [CrossRef] [PubMed]
  16. Otsuki, K.; Zhang, M.; Tan, L.; Komaki, M.; Shimada, A.; Kikuchi, T.; Zhou, D.; Li, N.; Li, W. Isomer Differentiation by UHPLC-Q-Exactive-Orbitrap MS led to Enhanced Identification of Daphnane Diterpenoids in Daphne tangutica. Phytochem. Anal. 2025, 36, 1053–1062. [Google Scholar] [CrossRef] [PubMed]
  17. Yu, J.S.; Seo, H.; Kim, G.B.; Hong, J.; Yoo, H.H. MS-Based Molecular Networking of Designer Drugs as an Approach for the Detection of Unknown Derivatives for Forensic and Doping Applications: A Case of NBOMe Derivatives. Anal. Chem. 2019, 91, 5483–5488. [Google Scholar] [CrossRef] [PubMed]
  18. Yu, J.S.; Nothias, L.F.; Wang, M.; Kim, D.H.; Dorrestein, P.C.; Kang, K.B.; Yoo, H.H. Tandem Mass Spectrometry Molecular Networking as a Powerful and Efficient Tool for Drug Metabolism Studies. Anal. Chem. 2022, 94, 1456–1464. [Google Scholar] [CrossRef] [PubMed]
  19. Xu, R.; Lee, J.; Zhang, S.; Chen, L.; Zhu, J. Structure similarity and molecular networking analysis for the discovery of polyphenol biotransformation products of gut microbes. Anal. Chim. Acta. 2022, 1221, 340145. [Google Scholar] [CrossRef] [PubMed]
  20. Vitale, G.A.; Sciarretta, M.; Cassiano, C.; Buonocore, C.; Festa, C.; Mazzella, V.; Núñez Pons, L.; D’Auria, M.V.; de Pascale, D. Molecular Network and Culture Media Variation Reveal a Complex Metabolic Profile in Pantoea cf. eucrina D2 Associated with an Acidified Marine Sponge. Int. J. Mol. Sci. 2020, 21, 6307. [Google Scholar] [CrossRef] [PubMed]
  21. Shi, T.; Li, Y.J.; Wang, Z.M.; Wang, Y.F.; Wang, B.; Shi, D.Y. New Pyrroline Isolated from Antarctic Krill-Derived Actinomycetes Nocardiopsis sp. LX-1 Combining with Molecular Networking. Mar. Drugs 2023, 21, 127. [Google Scholar] [CrossRef] [PubMed]
  22. Wakui, V.G.; de Oliveira, V.M.; Keng Queiroz Júnior, L.H.; Alves de Oliveira, C.M.; Kato, L. Metabolic profiling of Lomatozona artemisiifolia Baker plants grown in vitro and collected from nature using molecular networking and chemometric analysis. Nat. Prod. Res. 2024, 38, 4427–4434. [Google Scholar] [PubMed]
  23. Shu, L.; Xiao, S.; Li, K.; Luo, H.; Li, M.; Yang, Q.; Gao, B.; Li, J.; Yan, F.; Cai, W. Systematic identification of the chemical components of leaves and roots of Didymocarpus heucherifolius Hand.-Mazz. based on UHPLC Q-Exactive Orbitrap MS technology coupled with molecular networking strategy. Sci. Rep. 2025, 15, 2617. [Google Scholar] [CrossRef] [PubMed]
  24. Quan, J.Y.; Fan, B.; Liu, A.; Sun, J.; Chen, P.; Wang, C.G.; Zhao, Y.L.; Zhang, C.; Deng, X.Q.; Jing, Z.W. Rapid identification of components in Wuzhuyu Decoction using UHPLC Q-Exactive Orbitrap MS~n and molecular network technology. Zhongguo Zhong Yao Za Zhi 2023, 48, 71–81. [Google Scholar] [PubMed]
  25. Xie, X. Optimization of the Preparation Process, Characteristic Components, and Quality Control of Shu Xin Jie Yu Granules. Master’s Thesis, Anhui University of Chinese Medicine, Hefei, China, 2024. [Google Scholar]
  26. Zhang, L. Isolation and Identification of Chemical Constituents from Polygonum cuspidatum and Psoraleae Fructus. Master’s Thesis, Tianjin University of Traditional Chinese Medicine, Tianjin, China, 2023. [Google Scholar]
  27. Zhong, F.; Zhang, Y.; Xue, T.; Zhang, M.; Li, Z.; Liao, S.; Lin, Y. Chemical Constituents of the Hmong Medicinal Roots of Hedera nepalensis and Their Anti-inflammatory Activity. Chin. Pharm. J. 2025, 60, 1688–1699. [Google Scholar]
  28. Wang, D.; Luo, W.; Zhang, R.; Wang, L.; Li, M.; Jiang, M. Research on the method for characterizing the anti-inflammatory active components of Huaihua Powder based on offline two-dimensional chromatography-mass spectrometry. Chin. Meas. Test. 2025, 51, 106–117. [Google Scholar]
  29. Ma, D.; Gao, X.; Peng, L.; Wu, S.; Wang, Q.; Hao, Z. Composition Analysis of Seed of Areca catechu L. in Deep Processing based on UHPLC-QE-Orbitrap-MS Technology. Acta Vet. Zootech. Sin. 2023, 54, 5275–5292. [Google Scholar]
  30. Lan, Y.; Wang, H.; Zahng, X.; Lei, H. Analysis of Main Active Components from the Leaves of Cyclocarya Paliurus by HPLC-Q-TOF-MS/MS and HPLC-DAD. Front. Pharm. Sci. 2022, 25, 966–971. [Google Scholar]
  31. Xiong, W. Preliminary Study on the Material Basis and Metabolismin vivo of Qisheng Wan Formula. Master’s Thesis, Southwest Jiaotong University, Chengdu, China, 2023. [Google Scholar]
  32. Wishart, D.S.; Knox, C.; Guo, A.C.; Eisner, R.; Young, N.; Gautam, B.; Hau, D.D.; Psychogios, N.; Dong, E.; Bouatra, S.; et al. HMDB: A knowledgebase for the human metabolome. Nucleic Acids Res. 2009, 37, D603–D610. [Google Scholar] [CrossRef] [PubMed]
  33. Li, Y.; Zhang, K.; Shun, J.; Zhu, B.; Xu, W.; Dong, L. Chemical compositions in Chaihu Shugan pills based on UHPLC-QExactive-Obitriap-MS. Cent. South Pharm. 2022, 20, 2758–2766. [Google Scholar]
  34. Guan, Y. Study on the Pharmacodynamic Material Basis and Mechanism of Action of Huanglian Houpo Decoction in the Treatment of Ulcerative Colitis. Master’s Thesis, Northeastern University, Shenyang, China, 2025. [Google Scholar]
  35. Su, Q.; Li, Z.; Zhang, J.; Wang, Y.; Liu, S.; Li, C.; Yao, J.; Zhang, G.; Feng, S. Study on the chemical constituents of Xintong Granules and the mechanism of action in the treatment of myocardial ischemia-reperfusion injury. Liaoning J. Tradit. Chin. Med. 2025, 1–22. Available online: https://link.cnki.net/urlid/21.1128.R.20250718.1005.004 (accessed on 4 May 2026).
  36. Han, Z.; Hu, E.; Zhang, L.; Cao, F.; Chen, J.; Zhou, F.; Song, W. Analysis on Chemical Components for the Leaves of the Miao Medicine Toricellia Angulata Oliv. Var.Intermedia(Harms) Hu by HPLC-HESI-HRMS. Chin. J. Mod. Appl. Pharm. 2022, 39, 1721–1730. [Google Scholar]
  37. Ji, S. Analysis of chemical constituents differences between Fritillaria cirrhosa D. Don and Fritillaria thunbergii and Its Metabolomics Based on UPLC-Q-TOF-MS/MS Technology. Master’s Thesis, Qinghai Normal University, Xining, China, 2022. [Google Scholar]
  38. Jin, M. Quality Standards and UHPLC-Q-Exactive-MS Metabolomics Study of Penis et Testis Canis Raw Products and Talcum Powder Perm Products. Master’s Thesis, Shanxi University, Taiyuan, China, 2024. [Google Scholar]
  39. Cao, J. Preparation, Component Analysis and Related Activities of Compound Qianliekang Capsule. Master’s Thesis, Changchun University of Chinese Medicine, Changchun, China, 2024. [Google Scholar]
  40. Sun, N.; Zhang, K.; Geng, W.; E, X.; Gao, W.; He, Y.; Li, P. Analysis of chemical constituents of Jiashen Tablet extract by UPLC-Q-TOF-MS. Chin. Tradit. Herb. Drugs 2018, 49, 293–304. [Google Scholar]
  41. Ren, D. Quality Standards of Raw Donkey Whip and Donkey Whip Processed with Talcum Powder, and Metabolomics Study Using UPLC-Q-Exactive-MS/MS. Master’s Thesis, Shanxi University, Taiyuan, China, 2024. [Google Scholar]
  42. Qian, H. Study on the Pharmacological Basis and Mechanism of Action of Xanthocerais lignum Against Rheumatoid Arthritis. Master’s Thesis, Inner Mongolia Medical University, Hohhot, China, 2024. [Google Scholar]
  43. Zhang, S.; Kong, L.; Gu, W.; Li, C.; Deng, R.; Cao, J.; Pei, L.; Guo, Y. Chemical composition analysis of Taraxacum mongolicum based on HPLC-Q-TOF -MS/MS and network pharmacology studyon its anticancer mechanism. Nat. Prod. Res. Dev. 2022, 34, 305–314. [Google Scholar] [CrossRef]
  44. Ba, D.; Wu, S.; Bao, B.; Liu, X.; Ao, D. Analysis of Chemical Constituents and Components Absorbed into Blood of Baidoukou Aqueous Extract Based on UPLC-Q-Exactive-Orbitrap MS/MS. Chin. J. Mod. Appl. Pharm. 2025, 42, 1492–1500. [Google Scholar]
  45. Fan, S. Research on the Chemical Constituents, Metabolism and Excretion Characteristics of Classical Prescription Yangwei Tang. Ph.D. Thesis, Hebei University of Chinese Medicine, Shijiazhuang, China, 2022. [Google Scholar]
  46. Zhang, C.; Wang, C.; Li, X.; Cheng, X.; Wang, Y.; Qi, S.; Zhang, D.; Liu, P.; Yue, P.; Liu, W. Identification of chemical compositions and rapid quantification of amygdalin and prunasin in Prunus persica by UHPLC-Q-Orbitrap high resolution mass spectrometry. Chin. J. Hosp. Pharm. 2022, 42, 347–355. [Google Scholar]
  47. Shi, G.; Fan, J.; Li, W.; Zhou, B.; Xiao, J.; Shi, J.; Guan, Y. Study of Chemical Constituents in Bidentis Herba from Dierent Origins Based on UPLC-Q-Exactive Orbitrap-MS Technology. Res. Pract. Chin. Med. 2025, 39, 36–42. [Google Scholar] [CrossRef]
  48. Shi, J. The Research on the Chemical Analysis of Guilingji Andits Improvement in Mild Cognitive Impairment. Ph.D. Thesis, Shanxi University, Taiyuan, China, 2021. [Google Scholar]
  49. Chen, Y.; Zhon, J.; Zhu, S.; Li, Y.; Lin, J.; Ye, Q. Comparative Study of Chemical Constituents of Cultivated and Wild Musk Based on UPLC-Q-Orbitrap HRMS. Chengdu Univ. Tradit. Chin. Med. 2025, 48, 20–32. [Google Scholar] [CrossRef]
  50. Ma, N. Establishment and Application of TCM ingredient Mass Spectrometry Database Based on UHPLC-Q-Exactive-Orbitrap Technology. Master’s Thesis, Tianjin University of Traditional Chinese Medicine, Tianjin, China, 2025. [Google Scholar]
  51. Liu, L.; Li, Y.; Su, R.; Pan, Q.; Wei, Z.; Qu, B.; Liu, M.; Liu, M.; Jia, Z. Chemical composition determination and consistency analysis of Qishen Granules based on liquid chromatography-mass spectrometry technology. Chin. Tradit. Herb. Drugs 2022, 53, 2312–2323. [Google Scholar]
  52. Huang, X. Study on Pharmacodynamic Material Basis and Mechanism of Qiangshu Jiangya Formula in Hypertensive Rats. Master’s Thesis, Guangdong Pharmaceutical University, Guangzhou, China, 2022. [Google Scholar]
  53. Luo, M.; Zhu, H.; Xu, L.; Wang, B.; Li, M.; Lu, L.; Zhang, M.; Chen, L. Analysis of blood-absorbed components of Alocasiae Cucullatae Rhizoma aqueous extract based on UPLC-QE Orbitrap MS/MS. Nat. Prod. Res. Dev. 2025, 37, 816–827. [Google Scholar]
  54. Yan, Z.; Xu, J.; Suo, L.; Zhang, N.; Luo, Z.; Yang, Y. Chemical composition analysis of Twenty-five Flavor Soup pills based on UPLC-LTQ-Orbitrap-MS. Cent. South Pharm. 2024, 22, 3139–3148. [Google Scholar]
  55. Wang, Z. Comparative Study on Chemical Constituents of Water Extracts from Cinnamomi Ramulus and Cinnamomi Cortex and Their Effects on Chronic Atrophic Gastritis. Master’s Thesis, Shanxi University, Taiyuan, China, 2022. [Google Scholar]
  56. Xu, M.; Gao, M.; Zhang, Y.; Li, Z.; Ding, Y.; Wang, Q.; Feng, W.; Knag, Y.; Chen, L.; Wang, Z. Qualitative and quantitative analysis of chemical components of Dracocephalum moldavica based on UPLC-Q-TOF-MS/MS and UPLC. China J. Chin. Mater. Med. 2024, 49, 6352–6367. [Google Scholar]
  57. Xie, J. Investigation of the Regulation of Liver Injury and Related Mechanisms by Penthorum Chinense Pursh Compound Flavonoids. Master’s Thesis, Southwest University, Chonqing, China, 2024. [Google Scholar]
  58. Tan, G. Chemome and Metabonomics Studies of Traditional Chinese Medicine Sini Decoction. Ph.D. Thesis, Naval Medical University, Shanghai, China, 2012. [Google Scholar]
  59. Geng, Y.; Jiang, L.; Li, L.; Tian, L.; Wang, Y.; Li, Y.; Li, Y. Chemical Constituents Analysis of Gerbera delavayi Based on UPLC-Q-Exactive-plus-Orbitrap-MS and Molecular Network. Chin. Pharm. J. 2025, 60, 2446–2455. [Google Scholar]
  60. Hou, B.; Zhang, Z.; Liu, Y.; Jia, Q.; Yun, L.; Wang, W.; Hou, J.; Peng, Y. Analysis of flavonoid constituents in the aerial parts of Glycyrrhiza inflata Batalin. by UPLC-Q-Exactive Orbitrap-MS. Northwest Pharm. J. 2023, 38, 1–14. [Google Scholar] [CrossRef]
  61. Zhang, Y. Study on the Chemical Composition Analysis of Different Species of Licorice and Their Protective Effects on Lung-Injured Mice. Master’s Thesis, Changchun University of Chinese Medicine, Changchun, China, 2024. [Google Scholar]
  62. Qu, T.; Geng, F.; Li, N.; Lu, W.; Ren, H.; Xie, W.; Chen, Z. Analysis of the constituents of Qingbai Tongbi Capsules using UHPLC-Q-Exactive Focus MS/MS. J. Chin. Med. Mater. 2025, 48, 1–9. [Google Scholar] [CrossRef]
  63. Zhang, X.; Zhang, X.; Li, Z.; Yang, Q. Analysis of the chemical constituents of Gan Ge San using UHPLC-Q-Orbitrap HRMS. Chin. Tradit. Pat. Med. 2025, 47, 3853–3863. [Google Scholar]
  64. Sun, S. Study on Pharmacodynamic Material Basis of Lingguizhugan Decoction in the Treatment of Heart Failure. Ph.D. Thesis, Hebei Medical University, Shijiazhuang, China, 2022. [Google Scholar]
  65. Li, W.; Wang, Y.; Zeng, L.; Zhang, G.; Lin, Y. Characterization of Flavonoids from Five Species of Ardisia Using UHPLC-Q-Orbitrap-MS/MS. Tradit. Chin. Drug Res. Clin. Pharmacol. 2022, 33, 91–96. [Google Scholar] [CrossRef]
  66. Cai, X. Study on the Lipid-Lowering Effect and Mechanism of Mongolian Medicine Wulan-13 Decoction. Ph.D. Thesis, Inner Mongolia Minzu University, Tongliao, China, 2024. [Google Scholar]
  67. Han, M. Qualitative and Quantitative Analysis of In Vivo and In Vitro Components of Ershiwuwei Shanhu Pills Based on LC-MS and Metabolomics, and Its Regulation of Endoplasmic Reticulum Stress-Mediated Apoptosis in the Treatment of Cerebral Ischemia Mechanism. Master’s Thesis, Chengdu University of Traditional Chinese Medicine, Chengdu, China, 2024. [Google Scholar]
  68. Yang, Y.; Meng, F.; Wang, X. Analysis of chemical constituents in Beishashen Siwei Decoction and capsule preparation based on UPLCQ-Exactive Orbitrap MS. Chin. J. Hosp. Pharm. 2025, 45, 1634–1642. [Google Scholar]
  69. Yang, Z. Research on the Quality Standards of Miao Medicine Clinopodii Gracilis Herba (Jiandaocao). Master’s Thesis, Chengdu University of Traditional Chinese Medicine, Chengdu, China, 2024. [Google Scholar]
  70. Liang, H.; Sun, J.; Jiang, Y.; Yuan, X.; Yao, J.; Guan, Y.; Zhang, G.; Li, F. Study on quality markers of Shouhui Tongbian Capsule based on GC-MS and UPLC-Q-Exactive MS technology. Chin. Tradit. Herb. Drugs 2022, 53, 6674–6685. [Google Scholar]
  71. Tang, M.; Zhang, F.; Tian, J.; Geng, Y.; Cai, G.; Gao, W.; Gong, J. Study on differential active components and mechanisms of antiarrhythmic effects of flavonoids from different processed products of Glycyrrhiza uralensis based on UPLC-Q-Orbitrap/MS. Drug Eval. Res. 2026, 49, 567–583. [Google Scholar]
  72. Zhao, X.; Su, X.; Liu, C.; Jia, Y. Simultaneous Determination of Chrysin and Tectochrysin from Alpinia oxyphylla Fruits by UPLC-MS/MS and Its Application to a Comparative Pharmacokinetic Study in Normal and Dementia Rats. Molecules 2018, 23, 1702. [Google Scholar] [CrossRef] [PubMed]
  73. Dai, M.; Zhang, Y.; Xiang, X.; Jin, S.; Huang, R. Study on the Material Basis and Pharmaceutical Effects of Jiawei Ganmai Dazao Decoction on Sleep-Deprived Mice. Lishizhen Med. Mater. Med. Res. 2025, 36, 266–272. [Google Scholar] [CrossRef]
  74. Sui, Z.; Hou, P.; Wang, P. Rapid Identification of the Components in Polygonatumordoratum Based on UPLC-Q-Orbitrap Platform. Front. Pharm. Sci. 2022, 25, 626–630. [Google Scholar]
  75. Qiao, Z. Study on Identification of Flavonoids and the Preparation Technology of Granules in Sunflower Receptacles (Helianthus annuus L.). Master’s Thesis, Jilin University, Changchun, China, 2021. [Google Scholar]
  76. Dong, X. Study on Pharmacodynamic Substances and Mechanism of Banxia Xiexin Decoction in Treating Inflammatory Colon Cancer. Ph.D. Thesis, Changchun University of Chinese Medicine, Changchun, China, 2024. [Google Scholar]
  77. Bi, Z.; Wang, F.; Fang, C. Analysis of chemical constituents of Qi Gui Tong luo Granules based on UHPLC-Q-Orbitrap-HRMS technology. Liaoning J. Tradit. Chin. Med. 2025, 10, 1–22. Available online: https://link.cnki.net/urlid/21.1128.R.20251024.1655.026 (accessed on 4 May 2026).
  78. Lin, Y.; Li, Q.; Jin, M.; Chen, Y.; Chen, Z. Identification of Chemical Constituents in Schefflera venulosa Wight. et Arn. by UPLC-Q/Exactive Obitrap MS. Chin. Pharm. J. 2025, 60, 1608–1619. [Google Scholar]
  79. Li, H.; Wan, L.; Wang, H.; Duan, Y.; Chen, S. Identification and Mass Spectrometric Characterization of Isomeric Isoflavone Aglycones by ESI-IT-TOF Mass Spectrometry. Chem. J. Chin. Univ. 2007, 28, 2284–2289. Available online: https://kns.cnki.net/kcms2/article/abstract?v=wTY03cmeYFoPwul_GMVzQwAg4uXCsea_dJDFBrXM11Wkkjmihws51jrB-PMpOD21RtGWISff1HhtoaR8AoDbXMChHDKc1MbnGC3TjbAYwUr0jujKHLUMzxyuWOv-gWR-bV8aT2O9JwlGQTl7ahGeDroBpmyZ76GJxcUfHoTIG104MYcvZT2_VA==&uniplatform=NZKPT&language=CHS (accessed on 4 May 2026).
  80. Ji, S.; Wang, X.; Zhou, Y.; Xu, Y.; Ma, Z.; Dai, Y. Comprehensive characterization of chemical components in Xie Bai San by integrating multi-point screening mass defect filtering and molecular networking. Acta Pharm. Sin. 2026, 61, 1361–1379. [Google Scholar]
  81. Liang, H.; Jiang, Y.; Yuan, X.; Yao, J.; Deng, R.; Yang, M.; Zhang, G.; Li, F. Chemical constituents of Jingfang Granules based on GC-MS and UPLC-Q Exactive MS. Chin. Tradit. Herb. Drugs 2022, 53, 1697–1708. [Google Scholar]
  82. Jing, L.; Xiao, W.; Gana, Y.; Meng, X.; Chen, X.; Deng, S. A Study on the Chemical Constituents of Processed Chuanwu and Baishao combination Using UPLC-Q-Orbitrap HRMS Technology. J. Chin. Med. Mater. 2023, 46, 911–918. [Google Scholar]
  83. Fna, Q.; Wu, X.; Cai, S.; Tao, C.; Zhu, D.; Chen, X.; Shen, B.; Sun, D. Analysis of chemical constituents of Maimendong Decoction in classical prescriptions by UPLC-Q-Orbitrap MS. J. Guangdong Pharm. Univ. 2023, 39, 66–78. [Google Scholar]
  84. Wu, X. The Tibetan Medicine Ranasampel for the Treatment of Cardiovascular and Cerebrovascular Diseases and Research on Improving Elderly Dementia. Master’s Thesis, Qinghai Normal University, Xining, China, 2025. [Google Scholar]
  85. Zhang, N.; Gao, X.; Zhou, Y.; Geng, T.; Yang, B.; Wang, X.; Huang, W.; Xiao, W. Rapid identification of chemical components in Xingbei Zhike Keli by UPLC-Q-TOF-MS/MS. China J. Chin. Mater. Med. 2018, 43, 4439–4449. [Google Scholar]
  86. Huang, J.; Huang, Z.; Chen, H.; Liu, K.; Wnag, L.; Zhi, H.; Ding, L.; Zheng, J. Analysis of polyphenols from Mesona chinensis by UPLC-Q-TOF-MS/MS. Nat. Prod. Res. Dev. 2021, 33, 758–766. [Google Scholar]
  87. Wu, M.; Xiong, Y.; Zhu, L.; ZeWeng, Y.; Li, R.; Zhang, J.; Wan, L. A comprehensive method for quality evaluation of Tibetan medicine Synotis solidaginea by integrating UHPLC-Q-Orbitrap MS chemical profiling and UHPLC-DAD multi-components quantification. J. Pharm. Biomed. Anal. 2024, 241, 115983. [Google Scholar] [CrossRef] [PubMed]
  88. Cao, L.; Guler, M.; Tagirdzhanov, A.; Lee, Y.-Y.; Gurevich, A.; Mohimani, H. MolDiscovery: Learning mass spectrometry fragmentation of small molecules. Nat. Commun. 2021, 12, 3718. [Google Scholar] [CrossRef] [PubMed]
  89. Wang, M.; Carver, J.J.; Phelan, V.V.; Sanchez, L.M.; Garg, N.; Peng, Y.; Nguyen, D.D.; Watrous, J.; Kapono, C.A.; Luzzatto-Knaan, T.; et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking. Nat. Biotechnol. 2016, 34, 828–837. [Google Scholar] [CrossRef] [PubMed]
  90. Luo, X.; Liao, Y.; Qing, T.; Zhao, J.; Cai, W. Rapid Analysis of the Chemical Composition of Xiaoban Kangfu Capsules Based on UHPLC-Q-Exactive Orbitrap MS/MS Combined with Molecular Networks. Pharmaceuticals 2026, 19, 459. [Google Scholar] [CrossRef] [PubMed]
  91. Cai, J.; Tan, X.; Hu, Q.; Pan, H.; Zhao, M.; Guo, C.; Zeng, J.; Ma, X.; Zhao, Y. Flavonoids and Gastric Cancer Therapy: From Signaling Pathway to Therapeutic Significance. Drug Des. Devel. Ther. 2024, 18, 3233–3253. [Google Scholar] [CrossRef] [PubMed]
  92. Rogerio, A.P.; Kanashiro, A.; Fontanari, C.; da Silva, E.V.; Lucisano-Valim, Y.M.; Soares, E.G.; Faccioli, L.H. Anti-inflammatory activity of quercetin and isoquercitrin in experimental murine allergic asthma. Inflamm. Res. 2007, 56, 402–408. [Google Scholar] [CrossRef] [PubMed]
  93. Chamitava, L.; Cazzoletti, L.; Ferrari, M.; Garcia-Larsen, V.; Jalil, A.; Degan, P.; Fois, A.G.; Zinellu, E.; Fois, S.S.; Fratta Pasini, A.M.; et al. Biomarkers of Oxidative Stress and Inflammation in Chronic Airway Diseases. Int. J. Mol. Sc. 2020, 21, 4339. [Google Scholar] [CrossRef]
  94. Bai, L.; Li, A.; Gong, C.; Ning, X.; Wang, Z. Protective effect of rutin against bleomycin induced lung fibrosis: Involvement of TGF-β1/α-SMA/Col I and III pathway. BioFactors 2020, 46, 637–644. [Google Scholar] [CrossRef] [PubMed]
  95. Zhao, J.; Li, Y.; Zhou, H.; Ren, K.; Xing, R. Methylophiopogonanone A reduces hypoxia-reoxygenation-induced apoptosis and oxidative damage in PC12 cells. Chin. Tradit. Pat. Med. 2020, 42, 213–216. [Google Scholar]
  96. Wang, L.; Zhou, Y.; Qin, Y.; Wang, Y.; Liu, B.; Fang, R.; Bai, M. Methylophiopogonanone B of Radix Ophiopogonis protects cells from H2O2-induced apoptosis through the NADPH oxidase pathway in HUVECs. Mol. Med. Rep. 2019, 20, 3691–3700. [Google Scholar] [PubMed]
  97. Larki-Harchegani, A.; Fayazbakhsh, F.; Nourian, A.; Nili-Ahmadabadi, A. Chlorogenic acid protective effects on paraquat-induced pulmonary oxidative damage and fibrosis in rats. J. Biochem. Mol. Toxicol. 2023, 37, e23352. [Google Scholar] [CrossRef] [PubMed]
  98. Liu, J.R.; Chen, B.X.; Jiang, M.T.; Cui, T.Y.; Lv, B.; Fu, Z.F.; Li, X.; Du, Y.D.; Guo, J.H.; Zhong, X.Q.; et al. Polygonatum odoratum polysaccharide attenuates lipopolysaccharide-induced lung injury in mice by regulating gut microbiota. Food Sci. Nutr. 2023, 11, 6974–6986. [Google Scholar] [CrossRef] [PubMed]
  99. Zhang, Y.; Jiang, S.; Cao, M.; Huang, X.; Yang, Y.; Tao, A. Extraction, structural characteristics, bioactivities, structural-activity relationships, and application prospects of the polysaccharides from Ophiopogon japonicus: A review. Carbohydr. Res. 2026, 565, 109871. [Google Scholar] [CrossRef] [PubMed]
  100. Kim, S.H.; Hong, J.H.; Lee, J.E.; Lee, Y.C. 18β-Glycyrrhetinic acid, the major bioactive component of Glycyrrhizae Radix, attenuates airway inflammation by modulating Th2 cytokines, GATA-3, STAT6, and Foxp3 transcription factors in an asthmatic mouse model. Environ. Toxicol. Pharmacol. 2017, 52, 99–113. [Google Scholar] [CrossRef] [PubMed]
  101. Luo, Y.H.; Wang, C.; Xu, W.T.; Zhang, Y.; Zhang, T.; Xue, H.; Li, Y.N.; Fu, Z.R.; Wang, Y.; Jin, C.H. 18β-Glycyrrhetinic Acid Has Anti-Cancer Effects via Inducing Apoptosis and G2/M Cell Cycle Arrest, and Inhibiting Migration of A549 Lung Cancer Cells. Onco Targets Ther. 2021, 14, 5131–5144. [Google Scholar] [CrossRef] [PubMed]
  102. Ma, J.; Ding, L.; Zang, X.; Wei, R.; Yang, Y.; Zhang, W.; Su, H.; Li, X.; Li, M.; Sun, J.; et al. Licoricesaponin G2 ameliorates bleomycin-induced pulmonary fibrosis via targeting TNF-α signaling pathway and inhibiting the epithelial-mesenchymal transition. Front. Pharmacol. 2024, 15, 1437231. [Google Scholar] [CrossRef] [PubMed]
  103. Yang, X.; Xiao, J.H.; Li, X.; Liu, R.M.; Yuan, Q. Based on network pharmacology and experiments to investigate the inhibitory effect of Licoricesaponin G2 on lung cancer tumor growth. J. Ethnopharmacol. 2026, 357, 120950. [Google Scholar] [CrossRef] [PubMed]
  104. Tang, Z.; Sha, T.; Wang, Y.; Xiao, Y.; Ding, Y.; Ni, R.; Qi, X. Isoliquiritigenin attenuated cognitive impairment, cerebral tau phosphorylation and oxidative stress in a streptozotocin-induced mouse model of Alzheimer’s disease. Life Sci. 2025, 376, 123759. [Google Scholar] [CrossRef] [PubMed]
  105. Wu, Q.; Wang, J.Y.; Han, D.Q.; Yao, Z.P. Recent advances in differentiation of isomers by ion mobility mass spectrometry. Trends Anal. Chem. 2020, 124, 115801. [Google Scholar] [CrossRef]
  106. Kang, T.; Dou, D.; Xu, L. Establishment of a quality marker (Q-marker) system for Chinese herbal medicines using burdock as an example. Phytomedicine 2019, 54, 339–346. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The total ion flow diagram of SMD (A) and the mixed standard solution (B) by UHPLC-Q Exactive orbitrap HRMS.
Figure 1. The total ion flow diagram of SMD (A) and the mixed standard solution (B) by UHPLC-Q Exactive orbitrap HRMS.
Pharmaceuticals 19 01044 g001
Figure 2. Visualization map of the molecular network of SMD. Saccharides (a), flavonoids (b,e,g,i,l,n,p), organic acids (f,h,j,o), triterpenes (c,d), coumarins (k), alkaloids (m).
Figure 2. Visualization map of the molecular network of SMD. Saccharides (a), flavonoids (b,e,g,i,l,n,p), organic acids (f,h,j,o), triterpenes (c,d), coumarins (k), alkaloids (m).
Pharmaceuticals 19 01044 g002
Figure 3. Chemical structures of characterized compounds in SMD.
Figure 3. Chemical structures of characterized compounds in SMD.
Pharmaceuticals 19 01044 g003aPharmaceuticals 19 01044 g003bPharmaceuticals 19 01044 g003c
Figure 4. MS2 spectra (A) and fragmentation pathways (B) of α,αTrehalose.
Figure 4. MS2 spectra (A) and fragmentation pathways (B) of α,αTrehalose.
Pharmaceuticals 19 01044 g004
Figure 5. MS2 spectra (A) and fragmentation pathways (B) of daidzin.
Figure 5. MS2 spectra (A) and fragmentation pathways (B) of daidzin.
Pharmaceuticals 19 01044 g005
Figure 6. MS2 spectra (A) and fragmentation pathways (B) of liquiritin.
Figure 6. MS2 spectra (A) and fragmentation pathways (B) of liquiritin.
Pharmaceuticals 19 01044 g006
Figure 7. MS2 spectra (A) and fragmentation pathways (B) of formononetin.
Figure 7. MS2 spectra (A) and fragmentation pathways (B) of formononetin.
Pharmaceuticals 19 01044 g007
Figure 8. MS2 spectra (A) and fragmentation pathways (B) of methylophiopogonanone A.
Figure 8. MS2 spectra (A) and fragmentation pathways (B) of methylophiopogonanone A.
Pharmaceuticals 19 01044 g008
Figure 9. MS2 spectra (A) and fragmentation pathways (B) of chlorogenic acid.
Figure 9. MS2 spectra (A) and fragmentation pathways (B) of chlorogenic acid.
Pharmaceuticals 19 01044 g009
Figure 10. MS2 spectra (A) and fragmentation pathways (B) of azelaic acid.
Figure 10. MS2 spectra (A) and fragmentation pathways (B) of azelaic acid.
Pharmaceuticals 19 01044 g010
Figure 11. MS2 spectra (A) and fragmentation pathways (B) of glycyrrhizinic acid.
Figure 11. MS2 spectra (A) and fragmentation pathways (B) of glycyrrhizinic acid.
Pharmaceuticals 19 01044 g011
Figure 12. MS2 spectra (A) and fragmentation pathways (B) of histidine.
Figure 12. MS2 spectra (A) and fragmentation pathways (B) of histidine.
Pharmaceuticals 19 01044 g012
Table 1. Identification of chemical components in SMD by UHPLC-Q Exactive orbitrap HRMS.
Table 1. Identification of chemical components in SMD by UHPLC-Q Exactive orbitrap HRMS.
NOCompound NameRT (min)FormulaIon ModeTheoretical Mass m/zExperimental Mass m/zError (ppm)Major Ion Fragments MS/MS (m/z)Compound TypeSourceRefs.
1Histidine0.83C6H9N3O2[M−H]154.0619154.0622−1.95154.0616, 137.0350, 110.0716, 95.0241, 93.0449Amino acidsSS, MD, YZ, THF, BBD, GC[25]
2Iditol0.86C6H14O6[M−H]181.0714181.0717−1.66101.0236, 89.0235, 71.0129SaccharidesSS, YZ, THF, BBD, GC, SY[26]
3Sucrose0.89C12H22O11[M−H]341.109341.10890.29179.0710, 119.0495, 89.0238SaccharidesSS, MD, YZ, BBD, GC, SY[27]
4α,α-Trehalose0.90C12H22O11[M−H]341.109341.10890.29341.1093, 179.0557, 119.0557, 101.0236, 89.0235SaccharidesSS, MD, YZ, THF, BBD, GC, SY[28,29]
5Quinic acid0.92C7H12O6[M−H]191.0557191.0561−2.09191.0557, 173.0086, 127.0394Organic acidsSS, BBD, SY[28]
6Isocitric acid0.97C6H8O7[M−H]191.0194191.0197−1.57191.0557, 111.0079, 85.0285, 71.0128Organic acidsSS, MD, YZ, THF, BBD, GC, SY[30]
7Fructose1.04C6H12O6[M−H]179.0557179.0561−2.23119.034, 113.0236, 101.0239, 89.0235SaccharidesSS, MD, YZ, THF, BBD, GC, SY[31]
8Galactose1.05C6H12O6[M−H]179.0557179.0561−2.2389.0235, 71.0128, 85.0284, 59.0128SaccharidesSS, MD, YZ, THF, BBD, GC, SY[32]
9 *Betaine1.26C5H11NO2[M+H]+118.0962118.0963−0.8559.0785, 58.9149AlkaloidsSS, MD, YZ, THF, BBD, SY[28,33]
10trans-Aconitic acid1.43C6H6O6[M−H]173.0087173.0091−2.31129.0186, 111.0079, 85.0285Organic acidsSS, MD, YZ, THF, BBD, GC, SY[34]
113-Butene-1,2,3-tricarboxylic acid1.63C7H8O6[M−H]187.0246187.0248−1.07143.0343, 125.0969, 115.0393Organic acidsSS, BBD[35]
123-Hydroxy-3-(methoxycarbonyl)pentanedioic acid2.53C7H10O7[M−H]205.0354205.03530.49173.0083, 129.0186, 111.0079Organic acidsSS[36]
13Glutaric acid2.58C5H8O4[M−H]131.0344131.0349−3.8287.0443, 69.0336, 59.0127Organic acidsTHF, BBD, GC, SY[37]
14Thymidine3.06C10H14N2O5[M−H]241.0832241.08291.24241.0831, 151.0508, 125.0340OthersTHF, SY[38]
15Thymine3.12C5H6N2O2[M+H]+127.0497127.0502−3.94127.0495, 110.0329, 84.0518AlkaloidsSS, MD, YZ, THF, BBD, GC, SY[38]
16Methylsuccinic acid3.54C5H8O4[M−H]131.0344131.0349−3.82131.0342, 101.0235, 87.0442, 85.0285Organic acidsTHF, BBD, GC, SY[39]
174-Methoxysalicylic acid3.795C8H8O4[M−H]167.0346167.0349−1.80123.0443, 108.0208Organic acidsSY[40]
185-Aminovaleric acid4.05C5H11NO2[M−H]116.0712116.0717−4.31117.0549, 99.00784, 59.0127Organic acidsTHF, BBD, GC, SY[41]
19(1,3-Phenylenedioxy)diacetic acid4.43C10H10O6[M−H]225.0408225.04041.78135.0443, 121.0287, 59.0128Organic acidsGC[42]
203,5-Dihydroxybenzoic acid4.43C7H6O4[M−H]153.0189153.0193−2.61153.0187, 109.0286Organic acidsSS, THF, BBD, GC, SY[43]
21Adipic acid4.67C6H10O4[M−H]145.0502145.0506−2.76101.0599, 83.0493Organic acidsTHF, GC, SY[44]
22Tryptophan5.28C11H12N2O2[M−H]203.0825203.0826−0.49142.0656, 116.0498Amino acidsSS, MD, YZ, THF, GC, SY[45]
23Xanthine5.38C5H4N4O2[M−H]151.0265151.02612.65108.0209, 71.0129OthersTHF, GC[46]
24Neochlorogenic acid5.52C16H18O9[M−H]353.0886353.08782.27353.0876, 191.0553, 179034, 135.0445Organic acidsSY[47]
25Salicylic acid5.97C7H6O3[M−H]137.0238137.0244−4.38109.0288, 93.0337Organic acidsMD, YZ, THF, GC, SY[28]
26 *Chlorogenic acid6.76C16H18O9[M−H]353.0883353.08781.42191.0558, 179.0347, 173.0453, 135.0444Organic acidsSY[47]
274-Anisic acid7.23C8H8O3[M−H]151.0395151.0401−3.97107.0498, 109.0287Organic acidsGC, SY[48,49]
28Pimelic acid7.32C7H12O4[M−H]159.0657159.0663−3.77115.0756, 97.0650Organic acidsTHF, GC[44]
29 *Caffeic acid7.87C9H8O4[M−H]179.0348179.035−1.12135.0445, 107.0492Organic acidsMD, GC, SY[50,51]
306-Hydroxycaproic acid7.89C6H12O3[M−H]131.0707131.0713−4.5885.0649, 59.0127Organic acidsMD, THF, BBD, GC, SY[52]
31Gentisic acid8.05C7H6O4[M−H]153.0188153.0193−3.27153.0187, 109.0286, 91.0180Organic acidsSS, MD, YZ, THF, BBD, GC, SY[28,53]
32N-Acetyl-D-alloisoleucine8.55C8H15NO3[M−H]172.0975172.0979−2.32130.0867, 172.0974, 58.0286Amino acidsYZ, THF, BBD, GC, SY[31]
333-Methylhistamine8.56C6H11N3[M+H]+126.1019126.1025−4.76126.1017, 108.0535, 96.0605OthersSY[32]
34Phenylalanine9.46C9H11NO2[M−H]164.0712164.0717−3.05147.0444, 120.0447, 103.9194Amino acidsSS, MD, YZ, THF, BBD, GC, SY[54]
353-Phenyllactic acid10.50C9H10O3[M−H]165.0553165.0557−2.42165.0552, 147.0444, 119.0494Organic acidsSY[55]
362-Hydroxycinnamic acid10.84C9H8O3[M−H]163.0396163.0401−3.07163.0395, 119.0494, 93.0337Organic acidsSS, MD, YZ, THF, BBD, GC, SY[56]
37Corymboside11.33C26H28O14[M+H]+565.1556565.15520.71427.1022, 409.0915, 379.0779, 325.0710, 295.0603, 203.0338FlavonoidsGC[57]
38Schaftoside11.45C26H28O14[M+H]+565.1558565.15521.06547.1461, 529.1334, 445.1071, 355.0822FlavonoidsGC[58]
395,7-Dihydroxy-4-methylcoumarin12.26C10H8O4[M+H]+193.0497193.04951.04178.0301, 165.0603, 149.0683CoumarinsBBD, SY[59]
40Daidzin12.74C21H20O9[M+H]+417.1184417.1180.96255.0651, 227.0706, 137.0347FlavonoidsGC[60]
41 *Liquiritin14.25C21H22O9[M−H]417.1193417.11910.48255.0665, 135.0081, 119.0495FlavonoidsGC, SY[61,62]
424-Indolecarbaldehyde14.78C9H7NO[M−H]144.0448144.0455−4.86116.14944AldehydesTHF[42]
43Genistin15.75C21H20O10[M+H]+433.1135433.11291.39413.1137, 271.0600FlavonoidsGC[60]
44 *Rutin15.80C27H30O16[M−H]609.1473609.14611.97300.02777, 271.0249, 178.9975, 151.0026FlavonoidsSY[60]
45 *Hyperoside15.99C21H20O12[M+H]+465.1036465.10281.72303.0498, 153.0273, 85.0359FlavonoidsSY[63]
46 *Quercetin16.09C15H10O7[M+H]+303.0500303.04990.33303.0498, 285.0387, 257.0441, 165.0238FlavonoidsGC, SY[47,60]
474-Nitrophenol17.11C6H5NO3[M−H]138.0191138.0197−4.35138.0189, 108.0208PhenolsTHF, GC, SY[64]
48Azelaic acid21.01C9H16O4[M−H]187.0973187.0976−1.60169.0863, 125.0965, 97.0650, 69.0338Organic acidsSS, MD, YZ, THF, BBD, GC, SY[28]
49Kuromanin21.87C21H20O11[M+H]+449.1081449.10780.67287.0547, 258.0519, 241.0691FlavonoidsTHF, BBD, GC, SY[65]
50Fisetin21.87C15H10O6[M+H]+287.0552287.0550.70241.0502, 213.0549FlavonoidsSY[66]
51Isokaempferide21.93C16H12O6[M−H]299.0564299.05611.00284.0328, 173.0233FlavonoidsGC[67]
52Apigetrin22.21C21H20O10[M−H]431.0992431.09832.09268.0381, 269.0456, 151.0032FlavonoidsGC[28,68]
53Isochlorogenic acid C22.89C25H24O12[M−H]515.1204515.11951.75353.0881, 191.0558, 179.0345, 135.0443Organic acidsSY[69]
54Neohesperidin22.95C28H34O15[M−H]609.1841609.18252.63609.1838, 301.0721FlavonoidsYZ, BBD, SY[28,70]
55Glycitin23.04C22H22O10[M+H]+447.129447.12860.89285.0756, 270.0522FlavonoidsGC[50]
56Ononin23.49C22H22O9[M+H]+431.134431.13370.70267.0692, 254.0806, 137.0347FlavonoidsGC[71]
57Isoliquiritin23.75C21H22O9[M+H]+419.1344419.13371.67257.0806, 163.0468FlavonoidsGC[62]
58Daidzein23.91C15H10 O4[M+H]+255.0654255.06530.39255.0650, 199.0754, 181.0698, 137.0345FlavonoidsGC[60]
595,7-dihydroxy-2-phenyl-4H-chromen-4-one23.92C15H10O4[M+H]+225.0654255.06520.89213.0556, 153.0786FlavonoidsGC[72]
60Luteolin24.70C15H10O6[M−H]285.041285.04051.75257.0459, 241.0499, 151.0034, 133.0288FlavonoidsGC[60]
61Emodin24.79C15H10O5[M+H]+271.0598271.0601−1.11271.0961, 163.0460, 137.0709OthersGC[73]
62Berberine24.93C20H17NO4[M+H]+336.1233336.1230.89320.0915, 278.0810FlavonoidsSS, MD, YZ, THF, BBD, GC, SY[74]
63Scrophulein25.58C17H14O6[M+H]+315.0863315.08630.00315.0861, 255.0650FlavonoidsGC[75]
643-Hydroxyanthranilic acid25.76C7H7NO3[M−H]152.0346152.0353−4.60152.0346, 122.0366Organic acidsTHF, SY[76]
65Corchorifatty acid F26.51C18H32O5[M−H]327.2181327.21771.22229.1444, 211.1337, 171.1021Organic acidsSS, MD, YZ, THF, BBD, GC, SY[27]
66 *Apigenin26.68C15H10O5[M+H]+271.0607271.06012.21271.0963, 119.0591FlavonoidsGC[28]
67 *Kaempferol26.97C15H10O6[M−H]285.041285.04051.75285.0771FlavonoidsGC[28]
68(15Z)-9,12,13-Trihydroxy-15-octadecenoic acid27.44C18H34O5[M−H]329.2335329.23340.30229.1446, 211.1337, 171.1021, 139.1121, 99.0806Organic acidsSS, MD, YZ, THF, BBD, GC[44]
69Licoricesaponin G227.57C42H62O17[M+H]+839.408839.4062.38469.3310, 451.3205TriterpenesGC[62]
70Diosmetin27.67C16H12O6[M+H]+301.0705301.0707−0.66286.0471, 258.0523, 153.0274FlavonoidsGC[28]
71 *Isoliquiritigenin27.99C15H12O4[M−H]255.0668255.06631.96255.0666, 153.0188, 135.0081, 119.0495, 91.0180FlavonoidsGC[61,77]
72Dodecanedioic acid28.05C12H22O4[M−H]229.1447229.14450.87229.1445, 211.1337, 167.1435Organic acidsSS, THF, SY[38]
73 *Glycyrrhizinic acid28.07C42H62O16[M−H]821.3969821.39650.49759.4012, 469.3319, 351.0573TriterpenesGC[61]
7418-β-Glycyrrhetinic acid28.09C30H46O4[M+H]+471.3463471.3469−1.27453.3360, 435.3269, 425.3409, 407.3297, 317.2117, 235.1696, 135.1278TriterpenesGC[78]
75 *Formononetin28.14C16H12O4[M−H]267.0668267.06631.87252.0429, 223.0399, 195.0450FlavonoidsBBD, GC[28,79]
769-HpODE28.86C18H32O4[M−H]311.223311.22280.64293.2128, 267.1968, 223.2064Organic acidsSS, MD, YZ, THF, BBD, GC, SY[80]
77Nobiletin28.92C21H22O8[M+H]+403.1391403.13870.99403.1388, 373.0918, 327.0858, 211.0234, 183.0311FlavonoidsSS, MD, YZ, BBD, GC[74,81]
78Sesamin29.23C20H18O6[M+H]+355.1169355.1176−1.97337.0998, 135.0552LignansGC[50]
7912(13)-DiHOME29.35C18H34O4[M+H]+315.2532315.2530.63243.0650, 201.0542Organic acidsGC[82]
80 *Methylophiopogonanone A30.15C19H18O6[M+H]+343.1182343.11761.75207.0655, 189.0575, 135.0553HomoisoflavonoidsMD[83]
81 *Methylophiopogonanone B30.18C19H20O5[M+H]+327.1233327.1238−1.53207.0653, 121.0747, 107.0583, 219.0654, 237.0758HomoisoflavonoidsMD[83]
8212-oxo Phytodienoic Acid30.21C18H28O3[M+H]+293.2106293.2111−1.71293.2109, 275.2005, 219.1743, 121.1111, 107.0946Organic acidsYZ, THF, GC, SY[26,84]
83Pteryxin30.39C21H22O7[M+NH4]+404.1702404.1704−0.49287.0915, 245.0804, 227.0701CoumarinsGC[85]
8413-HODE30.53C18H32O3[M−H]295.2281295.22790.68277.2175, 295.2281, 195.1386Organic acidsSS, MD, YZ, THF, BBD, GC, SY[41]
853-Hydroxy myristic acid30.65C14H28O3[M−H]243.1966243.19660.00243.1968, 59.0128Organic acidsSS, YZ, GC, SY[49]
86α-Linolenic acid31.73C18H30O2[M−H]277.2175277.21730.72277.1447, 121.0287, 91.0179Organic acidsSS, MD, YZ, THF, BBD, SY[86]
Note: “*” indicates that the compound was compared with the reference standard; “SS”, “MD”, “YZ”, “THF”, “BBD”, “GC” and ‘SY’ all refer to the medicinal herbs in the SMD, where “SS” is Adenophorae Radix, “MD” is Ophiopogonis Radix, “YZ” is Polygonati Odorati Rhizoma, “THF” is Trichosanthis Radix, “BBD” is Lablab Semen Album, “GC” is Glycyrrhizae Radix et Rhizoma, and “SY” is Mori Folium.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhang, K.; Xing, W.; Wang, Q.; He, H.; Xie, X.; Zhang, D.; Qi, Y.; Yang, M. Comprehensive Identification of the Chemical Components in the Classical Prescription Shashen Maidong Decoction Based on UPLC-Q-Orbitrap MS and Molecular Networking. Pharmaceuticals 2026, 19, 1044. https://doi.org/10.3390/ph19071044

AMA Style

Zhang K, Xing W, Wang Q, He H, Xie X, Zhang D, Qi Y, Yang M. Comprehensive Identification of the Chemical Components in the Classical Prescription Shashen Maidong Decoction Based on UPLC-Q-Orbitrap MS and Molecular Networking. Pharmaceuticals. 2026; 19(7):1044. https://doi.org/10.3390/ph19071044

Chicago/Turabian Style

Zhang, Kun, Weide Xing, Qiang Wang, Haiyan He, Xingliang Xie, Dingkun Zhang, Yue Qi, and Ming Yang. 2026. "Comprehensive Identification of the Chemical Components in the Classical Prescription Shashen Maidong Decoction Based on UPLC-Q-Orbitrap MS and Molecular Networking" Pharmaceuticals 19, no. 7: 1044. https://doi.org/10.3390/ph19071044

APA Style

Zhang, K., Xing, W., Wang, Q., He, H., Xie, X., Zhang, D., Qi, Y., & Yang, M. (2026). Comprehensive Identification of the Chemical Components in the Classical Prescription Shashen Maidong Decoction Based on UPLC-Q-Orbitrap MS and Molecular Networking. Pharmaceuticals, 19(7), 1044. https://doi.org/10.3390/ph19071044

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop