Literature DB >> 36088339

Comprehensive chemical profiling of volatile constituents of Angong Niuhuang Pill in vitro and in vivo based on gas chromatography coupled with mass spectrometry.

Yue Jiang1, Jie Li1, Meng Ding1, Zi-Fan Guo1, Hua Yang1, Hui-Jun Li1, Wen Gao2, Ping Li3.   

Abstract

BACKGROUND: Angong Niuhuang Pill (ANP), a renowned precious traditional Chinese medicine prescription, is extensively utilized for the clinical treatment of stroke, meningitis and encephalorrhagia in China. As a classic resuscitation-inducing aromatic prescription, ANP has been investigated for its pharmacological effects in recent years, while the volatile composition in ANP still lacks comprehensive elucidation.
METHOD: To better explore the volatile constituents in ANP, a qualitative analysis method was developed based on gas chromatography coupled with mass spectrometry. Furthermore, a validated quantitative method was established to determine 21 main compounds in 8 batches of commercially available ANP samples by gas chromatography-tandem mass spectrometry. The quantitative data were successively subjected to Pearson correlation coefficient analysis. Additionally, the absorbed volatile constituents in rat plasma after single oral administration of ANP have also been characterized.
RESULTS: A total of 93 volatile constituents including 29 sesquiterpenoids, 28 monoterpenoids, 13 fatty acids and their esters, 7 alkanes, 6 ketones, 3 phenols, 3 aldehydes, 2 benzoate esters, and 2 other types, were preliminarily characterized, which primarily originated from Borneolum, Moschus, Curcumae Radix, and Gardeniae Fructus. D-Borneol, isoborneol and muscone were the top three abundant ingredients (> 600 μg/g) in 8 batches of ANP samples. Subsequently, the average Pearson correlation coefficient of the contents of 21 analytes was 0.993, inferring the high batch-to-batch similarity among 8 batches. After oral administration of ANP, D-borneol, isoborneol, muscone and camphor were the main volatile constituents absorbed in the rat plasma.
CONCLUSION: This research may be helpful for the comprehensive quality control study of ANP, and provide for guarantee the clinical efficacy of ANP.
© 2022. The Author(s).

Entities:  

Keywords:  Angong Niuhuang Pill; GC–MS; Pearson correlation coefficient; Volatile constituents

Year:  2022        PMID: 36088339      PMCID: PMC9464384          DOI: 10.1186/s13020-022-00659-8

Source DB:  PubMed          Journal:  Chin Med        ISSN: 1749-8546            Impact factor:   4.546


Introduction

Angong Niuhuang Pill (ANP), one of the most famous first-aid traditional Chinese medicines (TCMs), contains 11 crude drugs, including Bovis Calculus, Buffalo Horn, Moschus, Margarita, Cinnabaris, Realgar, Coptidis Rhizoma, Scutellariae Radix, Gardeniae Fructus, Curcumae Radix and Borneolum. ANP was first recorded in Treatise on Differentiation and Treatment of Epidemic Febrile Diseases in the Qing Dynasty and has a history of over 200 years of application in China. According to the TCM theory and clinical practice, ANP has been proved to be beneficial to the treatment of various central nervous system diseases, such as stroke coma, meningitis and intracerebral hemorrhage [1]. A recent meta-analysis of 18 trials involving 1601 patients reported that adjuvant treatment with ANP could significantly improve the total response rate and reduce the neurologic deficit score in patients with acute cerebral infarction and acute intracerebral hemorrhage [2]. Generally, ANP contains volatile and non-volatile constituents, contributing to an integral part of the overall efficacy of ANP. The volatile substances of aromatic drugs are mainly deemed to process the important properties of resuscitation and awakening in traditional Chinese medicines. Since ANP is a typical resuscitation-inducing aromatic prescription, its therapeutic effect on cerebrovascular diseases may be closely related to the volatile components. For instance, muscone, d-borneol, and isoborneol, the representative components from Moschus, Borneolum, respectively, showed various biological activities in vitro and in vivo. Muscone might treat myocardial infarction and protect cardiovascular and cerebrovascular system [3, 4], regulate neuroprotective system [5] and improve osteoarticular injuries [6]. Isoborneol and d-borneol had the characteristics of anti-inflammatory [7], anti-atherosclerosis [8] and promoting penetration [9], and played significant roles in the treatment of cerebrovascular diseases [12]. However, there are few researches on systematical characterization the volatile chemical composition in ANP. In this study, the volatile constituents in ANP were comprehensively characterized based on the sensitive gas chromatography coupled with mass spectrometry (GC–MS) in vitro and in vivo. The GC–MS method was complemented for the volatile compounds identification based on database matching, retention indices and standard references confirmation. Then, 21 compounds were quantified in 8 batches of ANP by gas chromatography-tandem mass spectrometry (GC–MS/MS), and the batch-to-batch similarity was evaluated by Pearson correlation coefficient (PCC) analysis. Furthermore, the volatile constituent of ANP in vivo were characterized in the plasma of rats which was single oral administrated. To our knowledge, the determination of main volatile compounds in ANP was reported for the first time. It is hoped that the results can provide a valuable reference for quality control and clinical efficacy research of ANP.

Methods

Reagents and materials

Eight batches of ANP (No. S1–S8) were purchased from Beijing TongRenTang Technologies Co., Ltd and their information was listed in Additional file 1: Table S1. All the ANP samples used artificial Moschus and in vitro cultured Bovis Calculus in their prescription. The reference standards of muscone, α-pinene, limonene, eucalyptol, isoborneol, and d-borneol were obtained from National Institutes for Food and Drug Control (Beijing, China). Acetophenone, fenchol and β-caryophyllene were bought from Shanghai Yuanye Bio-Technology Co., Ltd (Shanghai, China). Camphene, benzaldehyde, α-terpinene, benzeneacetaldehyde, terpinolene, camphor, tridecane, 4-methyl-4-phenyl-2-pentanone, and humulene were acquired from Chengdu Push Bio-Technology Co., Ltd (Chengdu, China). ar-Tumerone was purchased from BioBioPha Co., Ltd. (Kunming, China). The standard mix of n-alkanes (C7–C40) was obtained from Sigma-Aldrich (St. Louis, MO, USA). (+)-3-Carene was bought from Toronto Research Chemicals (Toronto, ON, Canada). β-Pinene was acquired from Dr. Ehrensdorfer GmbH (Augsburg, Germany). α-Curcumene was purchased from Extrasynthese (Lyon Nord, France). The purities of all used reference standards were higher than 95%. Anhydrous ethanol and ethyl acetate (HPLC grade) were purchased from Yonghua Chemical Technology Co., Ltd (Suzhou, China). Distilled water was prepared using a Milli-Q Integral water purification system (Millipore, Bedford, MA, USA). Other reagents were analytical grade.

Preparation of standard and sample solutions

The 21 reference standards were dissolved with anhydrous ethanol respectively to prepare the corresponding stock solutions at the concentration of 1 mg/mL. An appropriate amount of individual standard stock solutions was mixed into a 10 mL volumetric flask to prepare a mixed standard stock solution, which was diluted with anhydrous ethanol to obtain a series of working solutions at proper concentrations for calibration curves. All working solutions were stored at − 20 °C until analysis. After ground into fine powder, 1.5 g ANP was accurately weighed and extracted using steam distillation for 4 h with 100 mL distilled water. The volatile oils were collected and residual water was removed with anhydrous sodium sulfate, finally were dissolved in 2 mL ethyl acetate. The solution was directly analyzed after adding n-tridecane as an internal standard (IS). Since some compounds of high contents such as isoborneol, d-borneol, β-caryophyllene, ar-turmerone and muscone were overloaded, the solution was also analyzed after diluted by 40 times with ethyl acetate and added with IS. The n-tridecane in all injection samples was at the final concentration of 14.20 μg/mL.

Collection and precipitation procedure of plasma samples

Male Wistar rats (Animal certificate number: SCXK [HU]-2018-0016) were purchased from Shanghai Lab. Animal Research Center (Shanghai, China). All rats were housed at 24 ± 2 °C on a 12 h light/dark cycle, and fed a standard diet and water for 1 week before the experiment. Then all rats (200 ± 20 g) were randomly divided into two groups: ANP group and control group. The rats were fasted for 12 h prior to experiments but water was provided ad libitum. ANP suspension dissolved in physiological saline was orally administrated to nine rats (ANP group) at a dosage of 8.1 g/kg, and the rest two rats (control group) were orally administered with the same dose of saline respectively. All procedures were carried out in accordance with Guide for the Care and Use of Laboratory Animals (National Institutes of Health). The blood samples were collected in heparinized 1.5-mL polythene tubes at 0, 0.25, 0.5, 0.75, 1, 1.5, 2 and 4 h after oral administration. At each time point, the blood samples of 3 rats (ANP group) or 2 rats (control group) were mixed into one sample, and were centrifuged immediately at 4500 rpm for 10 min at 4 °C to collect the plasma, which were stored at − 80 °C before analysis. For GC–MS analysis, a 100 μL aliquot of plasma sample was added with 100 μL of ethyl acetate, followed by vortex-mixing for 1 min and centrifugation for 10 min at 13,000 rpm. An aliquot of supernatant was transferred into an injection vial for analysis.

Chromatographic and mass spectrometric conditions

The qualitative analysis was performed on an Agilent 7890B gas chromatography system coupled to an Agilent 5977A quadrupole mass spectrometer (GC–MS, Agilent Technologies, USA). The GC separation was achieved on an Agilent DB-5 MS capillary column (60 m × 0.25 mm i.d.) coated with a 0.25 μm film of 5% phenyl polymethyl siloxane. High-purity helium gas was used as carrier gas, with a flow rate of 1.0 mL/min. The injection and interface temperatures were set to 280 °C and 250 °C, respectively. The column temperature was programmed as follows: the oven was initially maintained at 60 °C for 3 min, sequentially increased to 100 °C at 10 °C/min, increased to 135 °C at 2 °C/min, then increased to 165 °C at 5 °C/min, increased to 168 °C at 1 °C/min, increased to 200 °C at 5 °C/min, held for 2 min, and then increased to 295 °C at 10 °C/min, held constant for 5 min. The split ratio was set to 10:1. The injection volume was 1 μL. The electron energy was set to 70 eV. The source temperature was 230 °C and the quadrupole temperature was 150 °C. The mass data was acquired using full scan mode with a mass range of m/z 50–600 after a solvent delay of 9.1 min. Data acquisition was obtained by Agilent MassHunter GC–MS Acquisition Software Version B.07.03.2129. For quantitative analysis, the Agilent 7890B GC system equipped with an Agilent 7000D triple quadrupole mass spectrometer (GC–MS/MS, Agilent Technologies, USA) was performed. The Agilent DB-5 MS UI capillary column (30 m × 0.25 mm i.d., 0.25 μm) were used for separation, the initial oven temperature was 60 °C, and raised to 76 °C with 8 °C/min, then increased to 82 °C at the rate of 2 °C/min, and ramped with 15 °C/min to 130 °C, further rose at 20 °C/min to 230 °C and held for 2 min. The injection and interface temperatures were both kept at 250 °C. The carrier gas (helium, > 99.999%) flow rate was set at 1.0 mL/min. The electron energy and source temperature were set to 70 eV and 230 °C, respectively. The flow rate of quenching gas (helium, > 99.999%) and collision gas (nitrogen, > 99.999%) was 2.25 mL/min and 1.5 mL/min, separately. Data acquisition was achieved on Agilent MassHunter Workstation GC/MS Data Acquisition Software Version 10.0.368.

Validation of quantitative method

Calibration curves, LODs and LOQs

After added with an equal amount of internal standard (IS) n-tridecane (final concentration: 14.20 μg/mL), a series of working solutions at multiple concentrations were analyzed. The calibration curves were constructed by plotting the relationships between peak area and concentration of the analytes and IS. The mixed standard stock solution was further diluted with anhydrous ethanol and analyzed by GC–MS/MS. The concentration of the analyte with signal-to-noise ratio (S/N) of 10 was defined as the limit of quantification (LOQ), and the concentration of the analyte with S/N of 3 was assigned as the limit of detection (LOD).

Precision, repeatability, stability and recovery

The precision was evaluated by the determination of intra- and inter-day variances. The mixed standard solutions at three different concentration levels (low, medium, high) were analyzed for consecutive 3 days and continuous six times per day, and the peak area ratio of each compound and IS was recorded to calculate the relative standard deviation (RSD) value, respectively. Six parallel ANP samples from the same batch were prepared and analyzed for the repeatability test. To confirm the stability, a single sample solution was stored in sample chamber and analyzed at 0, 2, 4, 8, 12 and 24 h, respectively. Recovery test was used to verify the accuracy of the established method. A known amount of mixed reference solution at middle concentration was added in the same sample for six parallel extraction and analysis.

Data analysis

The qualitative analysis was realized on Agilent MassHunter Workstation Qualitative Analysis Software 10.0. The retention indices of all chromatographic peaks were calculated based on the data of C7–C40 n-alkanes acquired with the same GC–MS method. The acquired components were tentatively identified by comparison with mass spectra and retention indices in the National Institute of Standards and Technology (NIST) 2017 library, and some were unambiguously determined by direct comparison with reference standards. Agilent MassHunter Workstation Quantitative Analysis Software Version 10.0 was used for quantitative analysis. Related graphical analysis was conducted on Graphpad Prism 8.02 (San Diego, USA). The pairwise PCC between batches was based on the vectors of concentrations from each batch as Formula (1).Here, B1 and B2 represented the vectors of ingredients’ concentration of the first and second batches respectively. Finally, the PCCs were displayed through the correlation heat map, the batch-to-batch similarity was evaluated according to the average value of PCCs among all pairs from batches.

Results and discussion

Characterization of volatile constituents in ANP

For the qualitative analysis, the temperature-programmed conditions of GC–MS were optimized in terms of resolution, symmetricity and capacity of chromatographic peaks. Then, the mixed reference standard solution and ANP sample solution were analyzed by the optimized GC–MS method, and the total ion chromatogram of the essential oil from ANP is shown in Fig. 1. The volatile constituents of ANP were identified by comparing their mass spectra and retention indices with those of NIST library, and accurately identified by matching with authentic standards. As illustrated in Fig. 1 and Table 1, a total of 93 components, including 29 sesquiterpenoids, 28 monoterpeneoids, 13 fatty acids and their esters, 7 alkanes, 6 ketones, 3 phenols, 3 aldehydes, 2 benzoate esters and 2 other type components, were preliminarily characterized. Among them, 21 compounds were determined by comparison with reference standards. The essential oil was dominated by d-borneol, isoborneol and muscone, making up 90.69% of the identified oil composition.
Fig. 1

The total ion chromatogram of the essential oil from Angong Niuhuang Pill based on GC–MS

Table 1

Identification of the chemical constituents in the essential oil of ANP by GC–MS

No.tR (min)CompoundFormulaCASRI (measured)RI (NIST)MatchStructure typeSource
110.53TricycleneC10H16508-32-7930.02925853MonoterpeneoidsB
210.79α-PineneaC10H1680-56-8939.35937872MonoterpeneoidsGF, CR
311.32CampheneaC10H1679-92-5958.17952954MonoterpeneoidsB, CR
411.59BenzaldehydeaC7H6O100-52-7967.74962951AldehydesGF
512.13β-PineneaC10H16127-91-3987.29979847MonoterpeneoidsCR
612.252-PentylfuranC9H14O3777-69-3991.45993839FuransGF
712.322,2,4,6,6-PentamethylheptaneC12H2613475-82-6993.74991897AlkanesB
812.95α-PhellandreneC10H1699-83-21012.461005906MonoterpeneoidsCR
913.05(+)-3-CareneaC10H16498-15-71015.161010740MonoterpeneoidsCR
1013.29α-TerpineneaC10H1699-86-51021.921017825MonoterpeneoidsCR
1113.54p-CymeneC10H1499-87-61028.71025900MonoterpeneoidsGF, CR
1213.72LimoneneaC10H16138-86-31033.61030836MonoterpeneoidsGF, CR
1313.9EucalyptolaC10H18O470-82-61038.531032934MonoterpeneoidsGF, CR
1414.09β-IsophoroneC9H14O471-01-21043.51044843KetonesGF
1514.22BenzeneacetaldehydeaC8H8O122-78-11047.21045935AldehydesGF
1614.73r-TerpineneC10H1699-85-41061.041060733MonoterpeneoidsCR
1715.07AcetophenoneaC8H8O98-86-21070.441065965KetonesGF
1815.83TerpinoleneaC10H16586-62-91090.91088935MonoterpeneoidsCR
1916.01p-CymeneneC10H121195-32-01095.821090843MonoterpeneoidsCR
2016.1FenchoneC10H16O1195-79-51098.361096810MonoterpeneoidsB
2116.39NonanalC9H18O124-19-61105.111104872AldehydesGF
2217.15IsofencholC10H18O6168-62-31121.75918MonoterpeneoidsB
2317.37FencholaC10H18O1632-73-11126.451113904MonoterpeneoidsB
2417.61β-FencholC10H18O22627-95-81131.741116848MonoterpeneoidsB
2517.98α-CampholenalC10H16O4501-58-01140.031125828MonoterpeneoidsB
2618.74CamphoraC10H16O76-22-21156.51145930MonoterpeneoidsB
2719.12Camphene hydrateC10H18O465-31-61164.881148925MonoterpeneoidsB
2819.67IsoborneolaC10H18O124-76-51177.111157976MonoterpeneoidsB
2920.17d-BorneolaC10H18O464-43-71188.071167963MonoterpeneoidsB
3020.39α,α,3-TrimethylbenzenemethanolC10H14O5208-37-71192.71180845AlcoholsCR
3120.83l-α-TerpineolC10H18O10482-56-11202.581190819MonoterpeneoidsGF, CR
3221.112-BornanolC10H18O10,385-78-11207.45811MonoterpeneoidsB
3321.3NeoisopulegolC10H18O29141-10-41211.19813MonoterpeneoidsB
3422.224-MethyleneisophoroneC10H14O20548-00-91229.011242952KetonesGF
3522.64Bornyl formateC11H18O27492-41-31236.941226908MonoterpeneoidsB
3623.08Isobornyl formateC11H18O21200-67-51245.471232818MonoterpeneoidsB
3725.41l-Bornyl acetateC12H20O25655-61-81290.311284640MonoterpeneoidsB
3826.554-VinylguaiacolC9H10O27786-61-01314.471317932PhenolsCR
3928.45EugenolC10H12O297-53-01357.51357819PhenolsGF
4028.76BenzalacetoneC10H10O122-57-61364.59865KetonesGF
4129.564-Methyl-4-phenyl-2-pentanoneaC12H16O7403-42-11382.7769KetonesCR
4231.52β-CaryophylleneaC15H2487-44-51429.531419932SesquiterpenoidsCR
4332.13PaeonolC9H10O3552-41-01444.741438914PhenolsGF
4432.44trans-β-FarneseneC15H2418794-84-81452.391457796SesquiterpenoidsCR
4532.61SesquisabineneC15H2458319-04-31456.511464811SesquiterpenoidsCR
4632.98HumuleneaC15H246753-98-61465.581454804SesquiterpenoidsCR
4733.651,3-Cyclohexadiene, 1-(1,5-dimethyl-4-hexenyl)-4-methyl-C15H24451-55-81482.091480876SesquiterpenoidsCR
4833.77α-CurcumeneaC15H22644-30-41485.181483957SesquiterpenoidsCR
4934.32α-ZingibereneC15H24495-60-31498.671495891SesquiterpenoidsCR
5034.57α-FarneseneC15H24502-61-41505.361508672SesquiterpenoidsCR
5134.84β-BisaboleneC15H24495-61-41513.021509919SesquiterpenoidsCR
5235.15EthylparabenC9H10O3120–47-81521.51910Benzoate estersM
5335.49β-SesquiphellandreneC15H2420307-83-91530.91524929SesquiterpenoidsCR
5435.61trans-γ-BisaboleneC15H2453585-13-01534.091533833SesquiterpenoidsCR
5536.59cis-Sesquisabinene hydrateC15H26O58319-05-41561.061543857SesquiterpenoidsCR
5636.72trans-NerolidolC15H26O40716-66-31564.791564750SesquiterpenoidsCR
5737.39ar-TumerolC15H22O38142-57-31583.261583792SesquiterpenoidsCR
5837.86trans-Sesquisabinene hydrateC15H26O145,512–84-11596.081581900SesquiterpenoidsCR
5938.64ZingiberenolC15H26O58334-55-71620.641616923SesquiterpenoidsCR
6038.85trans-NuciferolC15H22O39599-18-31627.39712SesquiterpenoidsCR
6139.18β-AcorenolC15H26O28400-11-51637.8392411649808SesquiterpenoidsCR
6240.16ar-TumeroneaC15H20O532-65-01669.31664949SesquiterpenoidsCR
6340.33TumeroneC15H22O180315-67-71674.841632935SesquiterpenoidsCR
6440.44(Z)-γ-AtlantoneC15H22O108549-48-01678.451699836SesquiterpenoidsCR
65414-(1,5-Dimethylhex-4-enyl)cyclohex-2-enoneC14H22O1723-80-41696.241698848SesquiterpenoidsCR
6641.24BisacurolC15H24O120681-80-31704.32910SesquiterpenoidsCR
6741.4CurloneC15H22O82508-14-31709.55948SesquiterpenoidsCR
6841.61CurcuphenolC15H22O69301-27-51716.861717814SesquiterpenoidsCR
6941.7(Z)-α-AtlantoneC15H22O56192-70-21719.911717915SesquiterpenoidsCR
7042.71(6R,7R)-BisaboloneC15H24O72441-71-51754.451747936SesquiterpenoidsCR
7142.82Tetradecanoic acidC14H28O2544-63-81758.181768780Fatty acids and their estersGF
7243.55(−)-(E)-α-AtlantoneC15H22O108645-54-11783.131773927SesquiterpenoidsCR
7343.85Ethyl myristateC16H32O2124-06-11793.151794665Fatty acids and their estersGF
7444.39Turmeronol BC15H20O2131651-38-21815.66763SesquiterpenoidsCR
7545.5MusconeaC16H30O541-91-31867.53929KetonesM
7646.64Methyl palmitateC17H34O2112-39-01925.781926868Fatty acids and their estersM, GF
7747.23Palmitic acidC16H32O210/3/19571960.361968957Fatty acids and their estersM, GF
7847.78Ethyl palmitateC18H36O2628-97-71992.481993915Fatty acids and their estersB, M, GF, CR
7949.25Methyl linoleateC19H34O2112-63-02094.972092904Fatty acids and their estersGF
8049.33Methyl oleateC19H36O2112-62-92100.762091846Fatty acids and their estersM, GF
8149.72Linoleic acidC18H32O260-33-32132.122133900Fatty acids and their estersM, GF
8249.79Oleic acidC18H34O2112–80-12138.032141887Fatty acids and their estersM, GF
8350.05Stearic acidC18H36O211/4/19572159.942172842Fatty acids and their estersM, GF
8450.09Ethyl linoleateC20H36O2544-35-42163.232162937Fatty acids and their estersM
8550.17Ethyl oleateC20H38O2111-62-62169.062173905Fatty acids and their estersM
8650.45Ethyl stearateC20H40O2111-61-52192.342195811Fatty acids and their estersB
8750.54DocosaneC22H46629-97-02199.892200855AlkanesGF
8851.62TricosaneC23H48638-67-52299.862300880AlkanesGF
8952.65TetracosaneC24H50646-31-12399.862400886AlkanesGF
9053.72PentacosaneC25H52629-99-22499.782500878AlkanesGF
9154.17Di(2-propylpentyl) phthalateC24H38O470910-37-12538.212527911Benzoate estersGF
9254.89HexacocaneC26H54630-01-32599.72600873AlkanesGF
9356.2HeptacosaneC27H56593-49-72699.462700851AlkanesGF

The batch of ANP used for qualification was S7

Sources: B Borneolum, M Moschus, CR Curcumae Radix, GF Gardeniae Fructus

–: The RI was not found in NIST library

aThe identification was confirmed with reference standards

The total ion chromatogram of the essential oil from Angong Niuhuang Pill based on GC–MS Identification of the chemical constituents in the essential oil of ANP by GC–MS The batch of ANP used for qualification was S7 Sources: B Borneolum, M Moschus, CR Curcumae Radix, GF Gardeniae Fructus –: The RI was not found in NIST library aThe identification was confirmed with reference standards Among the 93 preliminarily identified volatile compounds, 11 components might be derived from Moschus, including 1 ketone, 1 benzoate ester and 9 fatty acids and their esters. The most abundant composition in Moschus was muscone (Peak 75) [13], which was also one of the principal constituents in ANP. Furthermore, 19 compounds comprising 16 monoterpeneoids, 2 fatty acid esters and 1 alkane, were tentatively assigned to Borneolum, of which the highest were d-borneol (Peak 29) and isoborneol (Peak 28) [7]. Additionally, 46 components were originated from Curcumae Radix, consisting of 29 sesquiterpenoids, 13 monoterpeneoids, 1 phenol, 1 ketone, 1 fatty acid ester, and 1 alcohol. Chinese Pharmacopoeia recorded its four botanical origins, including Curcuma wenyujin Y. H. Chen et C. Ling, Curcuma longa L., Curcuma phaeocaulis Val. and Curcuma kwangsiensis S. G. Lee et C. F. Liang. Sesquiterpenoid was one of the most abundant types in Curcumae Radix. Baesd on the characteristic constituents including ar-Tumerone (Peak 62), β-caryophyllene (Peak 42) and α-curcumene (Peak 48), the Curcumae Radix in those ANP could be traced to Curcuma longa L. [14-16]. Furthermore, 32 volatile components in ANP could be sourced from Gardeniae Fructus, containing 10 fatty acids and their esters, 6 alkanes, 5 monoterpeneoids, 4 ketones, 3 aldehydes, 2 phenols, and 1 furan and 1 benzoate ester. The constituents containing “-cyclohexane-trimethyl-” group represented by 4-methyleneisophorone (Peak 34) and β-Isophorone (Peak 14) might be the characteristic aromatic compounds in Gardeniae Fructus [17], which were detected in ANP. The detailed sources of volatile constituents in ANP are shown in Table 1 and Additional file 2: Fig. S1.

Quantitative analysis of representative volatile constituents in ANP

For the quantitative analysis, a temperature-programmed process of GC–MS/MS for 21 volatile constituents was developed within 15 min. A dynamic multiple reaction monitoring (dMRM) pattern was selected for quantification. As an alternative for multiple reaction monitoring, dMRM can monitor analytes automatically around the expected retention time, without defining a specific time period for the selected transitions, thereby decreasing concurrent transitions and improving the sensitivity [18, 19]. The segmented dMRM chromatogram of 21 target compounds is shown in Fig. 2. The dMRM parameters for all analytes and IS are presented in Additional file 1: Table S2.
Fig. 2

The segmented dMRM chromatogram of 21 target compounds and internal standard based on GC–MS/MS

The segmented dMRM chromatogram of 21 target compounds and internal standard based on GC–MS/MS

Method validation

The results of methodological study are shown in Additional file 1: Tables S3, S4. For the calibration curve established, all analytes showed good linearity within their linear ranges and their correlation coefficient R2 values varied from 0.9918 to 0.9997. The LODs and LOQs ranged from 0.60 to 150.40 ng/mL and from 6.00 to 451.20 ng/mL, respectively, indicating this method was sensitive enough for the quantitative analysis of the major volatile constituents of ANP. The RSD values of the intra- and inter-day were in the ranges of 0.04–5.84% and 0.48–6.83%, respectively. The RSD values for repeatability of all compounds ranged from 1.13 to 9.00%, which showed that the repeatability of tested samples was good. The RSD values for stability of all analytes were with the range of 1.39–6.70%, indicating that the samples in sample chamber were relatively stable within 24 h. The overall recoveries of 21 compounds were in a range of 90.80–109.83% with RSD values less than 8.68%, which indicated the verified method was accurate for quantification. The results demonstrated that the developed quantitative method was sensitive, rapid, accurate and reproducible for determination of representative volatile constituents in ANP.

Contents of representative volatile constituents in ANP

In total, eight batches of ANP were analyzed by the developed and verified GC–MS/MS method, and the quantitative results are presented in Fig. 3 and Additional file 1: Table S5. It was found that d-borneol (6727.63–7734.92 μg/g), isoborneol (4614.45–5620.61 μg/g) and muscone (637.90–694.74 μg/g) were the top three abundant ingredients in all batches of ANP samples, making up 95% of the total contents at least. Notably, the characteristic ar-tumerone (186.33–324.22 μg/g), β-caryophyllene (106.81–244.95 μg/g), and α-curcumene (20.16–80.29 μg/g) were of high content level. The content of each component varied greatly, while the content distribution of each component in the eight batches was relatively consistent.
Fig. 3

The content of 21 volatile compounds in 19 batches of ANP samples

The content of 21 volatile compounds in 19 batches of ANP samples

Batch-to-batch similarity evaluation of ANP samples

In order to evaluate the batch-to-batch similarity of multiple ANP samples, the quantitative data of 8 batches were subjected to PCC analysis. For the sake of reducing the concentration distribution difference of different components, the concentrations were processed with logarithm first. Furthermore, the concentration heat map of eight batches was displayed in Additional file 2: Fig. S2, indicating that the concentration distribution of these batches are generally similar. Subsequently, the batch-to-batch similarity was quantified by constructing the correlation coefficient matrix, and the heat map of it was shown in Fig. 4. It could be found that the average PCC was 0.993, and even the lowest PCC between S2 and S5 was also more than 0.986, further revealing the high similarity among the eight batches.
Fig. 4

The heat map of Pearson correlation coefficients between 8 batches

The heat map of Pearson correlation coefficients between 8 batches

Characterization of volatile constituents of ANP in vivo

To clarify the absorbed volatile component in vivo, the rat plasma after oral administration of ANP were analyzed by the developed GC–MS method. Since ANP was a classic first-aid Chinese patent medicine, single administration was performed. As shown in Fig. 5A, B, four absorbed components from ANP were characterized in 0.25 h, including three prototypes (P1–P3) and one metabolite (M1). By comparison with the retention time and mass spectral data of the reference standards, M1, P1, P2, and P3 were assigned to camphor, isoborneol (28), d-borneol (29) and muscone (75), respectively (Table 2), and their relative plasma concentration profiling in 0.25 to 4 h were depicted in Fig. 5C. The relative plasma concentration profiling of muscone could not be displayed because the content of muscone was extremely low at 0.25–4 h. The volatile constituents of most two high content in ANP were quickly absorbed after oral administration, and then decreased rapidly. While the content of camphor, the 2-position oxide of isoborneol and borneol [20, 21], remained relatively stable within 4 h, suggesting that isoborneol and borneol may be gradually metabolized into camphor. Curiously, no metabolites of muscone were detected, which were consistent with previously reports [22, 23]. Additionally, few metabolites were characterized partly because that single administration not accumulated the drug in vivo.
Fig. 5

The total ion chromatograms of blank plasma sample (A) and administered plasma sample (B) at 0.25 h; C mean peak area-time curves for camphor, isoborneol and d-borneol in rats after oral administration of Angong Niuhuang Pill (n = 3)

Table 2

Identification of the absorbed constituents in rat plasma after oral administration of ANP by GC–MS

NotR (min)CompoundFormulaCASStructure typeSource
M118.54CamphoraC10H16O76-22-2MonoterpenesB
P119.27IsoborneolaC10H18O124-76-5MonoterpenesB
P219.63d-BorneolaC10H18O464-43-7MonoterpenesB
P345.32MusconeaC16H30O541-91-3KetonesM

Sources: B Borneolum, M Moschus

aThe identification was confirmed with reference standards

The total ion chromatograms of blank plasma sample (A) and administered plasma sample (B) at 0.25 h; C mean peak area-time curves for camphor, isoborneol and d-borneol in rats after oral administration of Angong Niuhuang Pill (n = 3) Identification of the absorbed constituents in rat plasma after oral administration of ANP by GC–MS Sources: B Borneolum, M Moschus aThe identification was confirmed with reference standards Most notably, isoborneol, d-borneol and muscone played significant roles in the treatment of cerebrovascular diseases, corresponding to the main efficacy of ANP. Dong et al. [12] found that isoborneol and d-borneol may improve the function of neurovascular units through anti-apoptotic and anti-inflammatory properties so as to exert their protective effects against cerebral ischemia injury. Moreover, borneol and muscone acted as absorption enhancers in the blood–brain barrier by increasing paracellular and transcellular transport [11, 24, 25]. Muscone have been reported that could mediate neuroprotective effects against cerebral ischemia by preventing oxidative stress and Ca2+ influx [10]. When combined with other drugs, they can effectively promote the penetration of drugs through the blood–brain barrier, which is of great significance for the development of treating cerebrovascular diseases.

Conclusion

In this study, GC–MS and GC–MS/MS were used to conduct a comprehensive qualitative and quantitative analysis of the representative volatile constituents in commercial ANP. Combined with retention indices and reference standards, the chemical characteristics of volatile constituents in ANP were described comprehensively and systematically for the first time. A total of 93 volatile components, assigned to four aromatic Chinese medicine, were preliminarily identified in ANP. Among them, 21 volatile components were selected and accurately quantified within 15 min based on the established GC–MS/MS method, in which d-borneol, isoborneol and muscone were the top three abundant ingredients in the ANP. According to the contents of 21 determined constituents, 8 batches of ANP were generally chemical similar based on PCC analysis. In addition, d-borneol, isoborneol and muscone and one metabolite (camphor) were found in rat plasma after single oral administration, suggesting that these prototypes and their metabolites could be potential bioactive substances of ANP. Collectively, this study provides a comprehensive information of volatile component of ANP in vitro and in vivo, which may helpful for the quality evaluation and pharmacological research of ANP. Meanwhile, the non-volatile constituents were also important for its holistic efficacy, which need further investigated using the appropriate analytical method. Additional file 1: Table S1. The information on eight batches of commercially available ANP samples. Table S2. Dynamic multiple reaction monitoring parameters of all analytes and internal standard. Table S3. Calibration curves, LODs and LOQs of 21 volatile analytes in ANP samples. Table S4. Intra-day precision, inter-day precision, repeatability, stability and recovery of 21 volatile analytes in ANP samples. Table S5. Contents of 21 volatile analytes in ANP samples (μg/g, mean ± SD, n = 4). Additional file 2: Figure S1. The sources of volatile constituents in ANP samples. Figure S2. The concentration heat map of 21 volatile analytes in ANP samples from eight batches.
  24 in total

1.  Simultaneous quantification six active compounds in rat plasma by UPLC-MS/MS and its application to a pharmacokinetic study of Pien-Tze-Huang.

Authors:  Wen Xu; Yiping Zhang; Caijie Zhou; Yanni Tai; Xiaoqing Zhang; Jie Liu; Mei Sha; Mingqing Huang; Yanlin Zhu; Jun Peng; Jin-Jian Lu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2017-07-23       Impact factor: 3.205

2.  Liquid chromatography-electrospray ionization tandem mass spectrometry and dynamic multiple reaction monitoring method for determining multiple pesticide residues in tomato.

Authors:  G C R M Andrade; S H Monteiro; J G Francisco; L A Figueiredo; R G Botelho; V L Tornisielo
Journal:  Food Chem       Date:  2014-11-25       Impact factor: 7.514

3.  Effects of Muscone on the Expression of P-gp, MMP-9 on Blood-Brain Barrier Model In Vitro.

Authors:  Guang-Yun Wang; Ning Wang; Hua-Ning Liao
Journal:  Cell Mol Neurobiol       Date:  2015-05-15       Impact factor: 5.046

4.  Vortex-ultrasound-assisted dispersive liquid-liquid microextraction coupled with gas chromatography-mass spectrometry for the analysis of volatile bioactive components and comparative pharmacokinetic study of the herb-herb interactions in Guanxin Shutong Capsule.

Authors:  Jingqing Mu; Xun Gao; Qing Li; Xiaomei Yang; Wenling Yang; Xu Sun; Kaishun Bi; Huifen Zhang
Journal:  J Sep Sci       Date:  2017-07-17       Impact factor: 3.645

5.  Protective effects of muscone on ischemia-reperfusion injury in cardiac myocytes.

Authors:  Qibiao Wu; Haitao Li; Ye Wu; Weixing Shen; Li Zeng; Haibo Cheng; Ling He
Journal:  J Ethnopharmacol       Date:  2011-08-11       Impact factor: 4.360

6.  Muscone improves cardiac function in mice after myocardial infarction by alleviating cardiac macrophage-mediated chronic inflammation through inhibition of NF-κB and NLRP3 inflammasome.

Authors:  Yingqiang Du; Xin Gu; Haoyu Meng; Nan Aa; Shuiyuan Liu; Chengyi Peng; Yingbin Ge; Zhijian Yang
Journal:  Am J Transl Res       Date:  2018-12-15       Impact factor: 4.060

7.  Influence of borneol and muscone on geniposide transport through MDCK and MDCK-MDR1 cells as blood-brain barrier in vitro model.

Authors:  Zhen-Zhen Chen; Yang Lu; Shou-Ying Du; Ke-Xin Shang; Cheng-Bo Cai
Journal:  Int J Pharm       Date:  2013-08-21       Impact factor: 5.875

8.  Rapid discrimination and screening of volatile markers for varietal recognition of Curcumae Radix using ATR-FTIR and HS-GC-MS combined with chemometrics.

Authors:  Le Wang; Xiang Li; Yu Wang; Xueyang Ren; Xiaoyun Liu; Ying Dong; Jiamu Ma; Ruolan Song; Jing Wei; AXiang Yu; Qiqi Fan; Dongjie Shan; Jianling Yao; Gaimei She
Journal:  J Ethnopharmacol       Date:  2021-07-15       Impact factor: 4.360

9.  Comparison of Chemical Profiles, Anti-Inflammatory Activity, and UPLC-Q-TOF/MS-Based Metabolomics in Endotoxic Fever Rats between Synthetic Borneol and Natural Borneol.

Authors:  Liang Zou; Yan Zhang; Wei Li; Jinming Zhang; Dan Wang; Jia Fu; Ping Wang
Journal:  Molecules       Date:  2017-08-31       Impact factor: 4.411

10.  Muscone Ameliorates Ovariectomy-Induced Bone Loss and Receptor Activator of Nuclear Factor-κb Ligand-Induced Osteoclastogenesis by Suppressing TNF Receptor-Associated Factor 6-Mediated Signaling Pathways.

Authors:  Xiao Zhai; Zijun Yan; Jian Zhao; Kai Chen; Yilin Yang; Mengxi Cai; Chen He; Chunyou Huang; Bo Li; Mingyuan Yang; Xiaoyi Zhou; Yingchuan Zhao; Xiaozhao Wei; Yushu Bai; Ming Li
Journal:  Front Pharmacol       Date:  2020-03-20       Impact factor: 5.810

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