Authors:
Di Cao School of Pharmacy, Wannan Medical College, Wuhu, China
Anhui Provincial Engineering Laboratory for Screening and Re-evaluation of Active Compounds of Herbal Medicines in Southern Anhui, Wuhu, China

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Haishan Long School of Chinese Materia Medica, Guangzhou University of Chinese Medicine, Guangzhou, China

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Xuebin Shen School of Pharmacy, Wannan Medical College, Wuhu, China

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Bin Hu School of Chinese Materia Medica, Guangzhou University of Chinese Medicine, Guangzhou, China

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Shixia Xu School of Pharmacy, Wannan Medical College, Wuhu, China

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Huining Zhang School of Pharmacy, Wannan Medical College, Wuhu, China

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Zhongxiang Zhao School of Chinese Materia Medica, Guangzhou University of Chinese Medicine, Guangzhou, China

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Jun Han School of Pharmacy, Wannan Medical College, Wuhu, China
Anhui Provincial Engineering Laboratory for Screening and Re-evaluation of Active Compounds of Herbal Medicines in Southern Anhui, Wuhu, China

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https://orcid.org/0000-0002-5192-3433
Open access

Abstract

Atractylodis macrocephalae rhizome (AMR) belongs to medicine food homology. Its' clinical application of invigorating the spleen-stomach of AMR was applied to various diseases. In this research, a UPLC-QTOF-MS method was developed for qualitative and quantitative analysis of AMR, simultaneously. A Waters Acquity BEH C18 column (2.1 mm × 100 mm, 1.7 μm particle size) was used for separation of AMR multi-components. The column was eluted with a mobile phase of 0.1% formic acid-water and 0.1% formic acid-acetonitrile. Electron spray ionization with positive-ion mode and external standard method was utilized for quantifying the nine analytes in AMR. Constituents of AMR were scanned by UPLC-QTOF-MS and then identified by mass fragments and chromatographic information compared with the published literature and reference standards. Under positive mode, a total of 61 chemical compositions including 16 terpenoids, 8 polyacetylenes, 6 aromatics, 5 flavonoids, 5 coumarins, 5 organic acids, 4 amino acids, 3 fatty acids, 3 aliphatics, 2 steroids, and 2 alkenes, a nucleoside and an aldehyde were identified. Simultaneously, the contents of three amino acids (L-tyrosine, L-phenylalanine, and L-tryptophan), three sesquiterpenoids (atractylenolide Ⅲ, atractylenolide Ⅱ, and atractylenolide Ⅰ), a flavonoid (rutin), an organic acid (ferulic acid), and a pentacyclic triterpenoid (oleanolic acid) were determined in seventeen AMR batches. Amino acids and triterpenoid were quantified for the first time in AMR. The UPLC-QTOF-MS method developed in this article was reliable, practical, and useful for qualitative and quantitative evaluation of AMR multi-components.

Abstract

Atractylodis macrocephalae rhizome (AMR) belongs to medicine food homology. Its' clinical application of invigorating the spleen-stomach of AMR was applied to various diseases. In this research, a UPLC-QTOF-MS method was developed for qualitative and quantitative analysis of AMR, simultaneously. A Waters Acquity BEH C18 column (2.1 mm × 100 mm, 1.7 μm particle size) was used for separation of AMR multi-components. The column was eluted with a mobile phase of 0.1% formic acid-water and 0.1% formic acid-acetonitrile. Electron spray ionization with positive-ion mode and external standard method was utilized for quantifying the nine analytes in AMR. Constituents of AMR were scanned by UPLC-QTOF-MS and then identified by mass fragments and chromatographic information compared with the published literature and reference standards. Under positive mode, a total of 61 chemical compositions including 16 terpenoids, 8 polyacetylenes, 6 aromatics, 5 flavonoids, 5 coumarins, 5 organic acids, 4 amino acids, 3 fatty acids, 3 aliphatics, 2 steroids, and 2 alkenes, a nucleoside and an aldehyde were identified. Simultaneously, the contents of three amino acids (L-tyrosine, L-phenylalanine, and L-tryptophan), three sesquiterpenoids (atractylenolide Ⅲ, atractylenolide Ⅱ, and atractylenolide Ⅰ), a flavonoid (rutin), an organic acid (ferulic acid), and a pentacyclic triterpenoid (oleanolic acid) were determined in seventeen AMR batches. Amino acids and triterpenoid were quantified for the first time in AMR. The UPLC-QTOF-MS method developed in this article was reliable, practical, and useful for qualitative and quantitative evaluation of AMR multi-components.

Introduction

There is a kind of substance with innocuity, nutrients, therapeutic for the sick, and pleasure for the hunger, simultaneously. The substance is defined as “medicine and food homology”, which was put forward in the ancient Huang Di Nei Jing Su Wen [1]. They are developed as health-care products broadly circulated in the market, such as ginseng, Polygonatum sibiricum, and Angelica sinensis. Atractylodis macrocephalae rhizome (AMR), as a traditional Chinese medicine (TCM), belongs to the genus Atractylodes (family Asteraceae), and is known as medicine food homology species. AMR is an indispensable herb appeared in more than 122 kinds of health-care products, 912 kinds of Chinese medicine preparation, and 4,333 kinds of herbal prescriptions for treating chronic diseases in line with the database [2]. Zhejiang and Anhui provinces of China were authentic producing areas of AMR [3]. AMR have a diversity of pharmacological effects of anti-tumor activity, enhancing immunostimulatory, improving gastrointestinal function, anti-inflammatory activity, anti-Alzheimer's disease, anti-aging, anti-oxidative and neuroprotective activities [4, 5]. Phytochemical investigation has shown that AMR contains polysaccharides, sesquiterpenoids, alkynes, amino acids, pyrazines, phenolic acids, and acyl sugar compounds [6]. Among them, the sesquiterpene-type lactones were acknowledged as principal bioactive compounds. Former literatures intensively focused on the quantitative determination and biological activities of atractylenolide I, atractylenolide II, and atractylenolide [7–9]. However, the therapeutic effects of AMR should be comprehensively revealed based on its multiple constituents.

AMR is rich in amino acids supporting human nutrition to maintain good health and prevent diseases. Tyrosine, phenylalanine, aspartic acid, tryptophan, glutamic acid, and alanine contribute to health benefits. Amino acids play important roles in the fundamental building blocks supporting life [10], preventing intestinal dysfunction [11], supporting immune function [12], and so on. Tryptophan is a precursor of serotonin that was synthesized by brain neurons [13]. Phenylalanine is a necessary amino acid for human absolutely. Yet, phenylalanine can be transformed into tyrosine, which is the precursor of epinephrine, norepinephrine, thyroxine, and neurotransmitters dopamine. From the perspective of the elementary theory of TCM, AMR possess the function of strengthening the spleen, dispel dampness for diuresis, and miscarriage prevention. The research suggested the requirement for phenylalanine during early and late gestation in healthy pregnant women [14]. Tyrosine was a versatile amino acid and proved participating in structural conformation transitions of proteins [15]. Even, it was shown that phenylalanine and tyrosine were linked with a raised risk of diabetes [16]. Chronic dietary phenylalanine, tryptophan, and tyrosine depletion brought about consequences that behavioral alterations in mice were present [14]. However, there are very rare attention on the amino acids of AMR. In addition, flavonoids and triterpenoids in AMR were also suffering a lack of attention. It is worth noting that measurement of amino acid, flavonoid, and triterpenoid in AMR is important precondition that illustrates health protection of AMR.

Previously, it has reported that gas chromatograph-mass spectrometer (GC-MS) analysis for volatile oil [17], liquid chromatography coupled with mass spectrometry (LC-MS) for multi-component characterization [18], and high performance liquid chromatography-diode array detection (HPLC-DAD) combined with chemometrics [19] have been established for composition assessment of AMR. Synchronous full-scan MS1 and MS2 capabilities of quadrupole time-of-flight mass spectrometry (QTOF-MS/MS) make both of qualitative and quantitative analyses accomplished, simultaneously [20]. To make a supplement for multi-ingredient excavation and quality control of AMR, with the intense separation ability, excellent resolution, sensitivity, and structural characterization capabilities, the strategy of UPLC-QTOF-MS was established to capture and profile the chemical components of AMR as much as possible, while we determined the contents of the representative amino acid, sesquiterpene, triterpene, and flavonoid.

Experimental

Materials and reagents

Twelve standards of L-tyrosine (2), L-phenylalanine (6), L-tryptophan (9), rutin (14), ferulic acid (18), luteolin (21), baicalein (26), wogonin (27), atractylenolide Ⅲ (34), atractylenolideⅡ (37), atractylenolide Ⅰ (43), and oleanolic acid (53) with 98% purity were obtained from Weikeqi Biological Technology Co., Ltd. (Sichuan, China). HPLC-grade acetonitrile and methanol were procured from Merck (Darmstadt, Germany). Formic acid for LC-MS analysis was supplied by Fluka (Steinheim, Germany). Distilled water was fetched from an Aquapro water purification system (Aquapro, Chongqing, China).

Sample preparation

Stock standard solution of compounds 2, 6, 9, 14, 18, 34, 37, 43, and 53 were prepared in pure methanol at 3.28, 21.27, 16.2, 3.8, 6.8, 201.3, 25.55, 25.7, and 13.15 ug/mL, respectively. Proper concentration levels (n = 6) for determining calibration curves were obtained by diluting mixed stock solutions. The commercial AMRs from Anhui (S1–S4), Gansu (S5–S6), Henan (S7–S8), Sichuan (S9–S11), Shanxi (S12–S13), Yunnan (S14), and Zhejiang (S15–S17) were collected from different medicinal stores (Table S1). 0.5 g herb powder of seventeen AMR batches ground into 80 mesh were weighted, and added into 20 mL pure methanol, shaken, stood still for 20 min, and weighted again. After vortexed for 30 min, cooled down, weighed, and made up for weight loss with methanol, the supernatant was passed through a 0.22 μm microporous membrane before UPLC-QTOF-MS/MS analysis.

UPLC-QTOF-MS/MS conditions

The UPLC separation was conducted using a Waters Acquity BEH C18 column (2.1 mm × 100 mm, 1.7 μm, Waters Corporation) on the Shimadzu LC-30AD system (Shimadzu, Japan). The column was eluted with mobile phase of 0.1% formic acid-water (A) and 0.1% formic acid-acetonitrile (B), which was conducted as follows: 90% A (0–2 min), 79%–75% A (2–4 min), 75%–55% A (4–6 min), 55%–45% A (6–14 min), 45%–43% A (14–17 min), 43%–42% A (17–19 min), 42%–30% A (19–20 min), 30–20% A (20–30 min), 20%–5% A (30–31 min), and 5% A (31–33 min). The flow rate, column temperature, and injection volume were set at 0.3 mL min−1, 40 °C, and 5 μL, respectively.

QTOF-MS/MS analysis was performed using a Triple TOFTM 5600+ mass spectrometer (AB Sciex, Foster City, CA). The mass acquisition conditions were as follows: Ion source, DuoSpray ion source; polarity, positive mode; ion source gas 1, 55 psi; ion source gas 2, 55 psi; curtain gas, 35 psi; temperature, 550 °C; Ion Spray Voltage Floating, 4500 V; declustering potential, 90 V; collision energy, 5 V. For the information dependent acquisition criteria, the eight most intense fragmentation ions of each target were chosen to conduct a product ion scan when they exceeded 100 cps counts. MS and MS/MS scan range were 100–1550 and 50–1000 with a 250 ms accumulation time, respectively. Dynamic background subtraction was turned on during the full scans. Calibration delivery system was applied for precursor and product ion calibration at every 4 h. Data acquisition and processing were executed by Analyst®TF 1.7 and PeakView® 2.0 software, respectively.

Results and discussion

Optimization of UPLC-QTOF-MS method

The pivotal UPLC-QTOF-MS parameters such as mobile phase composition (0.1% formic acid-water/0.1% formic acid-methanol, 0.1%-formic acid water/0.1%-formic acid acetonitrile), analytical columns Waters Acquity BEH C18 (2.1 mm × 100 mm, 1.7 μm) and Waters Cortecs UPLC C18 (2.1 mm × 100 mm, 1.6), MS acquisition modes (negative or positive), CE values (25V/35V/45V) were inspected for obtaining an advantageous acquisition method. Taking separation performance, chromatographic peak shape, response intensity, and fragment ions into consideration, a Waters Acquity BEH C18 (2.1 mm × 100 mm, 1.7 μm) column at 0.1%-formic acid-water/0.1%-formic acid-acetonitrile with the optimized gradient elution was applied for the UPLC analysis. The CE value of 35V was recommended for qualitative analysis. Both negative and positive modes were adopted for acquiring chromatograms and MS data facilitating mutual verification. However, extract ion chromatograms (EICs) of active compounds 37 and 43 in AMR were unable to be detectable in ESI mode, while the EICs of the two compounds were extracted perfectly in ESI+ mode (Fig. S1). Therefore, a quantitative analysis of nine compounds was detected in positive acquisition mode.

Qualitative analysis of AMR

Before characterization of chemical ingredients in AMR, a lot of beforehand work is necessary. A database of AMR components covering names, formulas, original literatures, CAS number, and compound structures was established for identification. For QTOF-MS/MS was acclaimed as a high-resolution technique, in the first round, molecular weights with the error (ppm >5) were excluded based on the full scan mass spectra. In the second round, the final identified component corresponding to single or multiple EIC was found out according to characteristic fragments and retention time (Rt) existing in published literature or standards. Additionally, the cracking law conforming to chemical structure was employed for inferring target compound, which particularly suits the circumstance of no contrast reference. As a result, the total ion chromatogram of AMR in positive mode was displayed in Fig. 1A. And the chromatograms of the quantified nine analytes were seen in Fig. 1B. A total of 61 chemical compositions (16 terpenoids, 8 polyacetylenes, 6 aromatics, 5 flavonoids, 5 coumarins, 5 organic acids, 4 amino acids, 3 fatty acids, 3 aliphatics, 2 steroids, and 2 alkenes, a nucleoside and an aldehyde) were tentatively identified, and their Rt, formula, ppm, fragmentation, mass value, as well as references were described in Table 1. The chemical structures of 61 identified compositions are shown in Fig. S2. Fragmentation pathways and MS2 spectrum of atractylenolide VI, (8R,9R)-8,9-dihydroxylatractylodinol-9-O-β-D-glucopyranoside, scoparone, and proline were displayed in Fig. S3.

Fig. 1.
Fig. 1.

The ion chromatograms of ARM (A) and reference standards (B) by UPLC-QTOF-MS/MS analysis. (peak 2: L-tyrosine; 6: L-phenylalanine; 9: L-tryptophan; 14: rutin; 18: ferulic acid; 34: atractylenolide Ⅲ; 37: atractylenolide Ⅱ; 43: atractylenolide Ⅰ; 53: oleanolic acid)

Citation: Acta Chromatographica 36, 4; 10.1556/1326.2023.01151

Table 1.

Characterisation of the chemical constituents of AMR by UPLC-QTOF-MS method

No.CompoundsRt (min)Theoretical massDetected massppmDetected modeFormulaFragmentsTypeReference
1Proline0.88115.0633116.07114.5[M+H]+C5H9NO270.0735,53.0483amino acids[33]
2L-tyrosine0.90181.0739182.0805−3.6[M+H]+C9H11NO3147.0444,136.0759,123.0448,119.0501, 107.0508,103.0562,95.0508,77.0412amino acids*
3citric acid1.13192.0270193.03451.0[M+H]+C6H8O7193.0952,175.0864,147.0943,139.0018

129.0172,111.0090,93.0331,83.0494,68.9989
organic acids[37]
4aconitic acid1.16174.0164175.0235−1.0[M+H]+C6H6O6175.1191,130.0994,116.0747, 104.0508organic acids[37]
5Uridine1.18244.0695245.07742.3[M+H]+C9H12N2O6245.1161,217.0954,142.0891,113.0371nucleoside[38]
6L-phenylalanine1.41165.0790166.0856−4.0[M+H]+C9H11NO2120.0821,119.0749,118.0673,103.0564

102.0492
amino acids*
75-hydroxymethyl furaldehyde1.56126.0317127.03900.4[M+H]+C6H6O3109.0324aldehyde[39]
8atractyloside A1.87448.2309449.2379−0.3[M+H]+C21H36O10287.0572,269.1752,251.1682,233.1590

223.1689

215.1457,187.1565,147.1209
terpenoids
9L-tryptophan2.05204.0899205.0969−3.7[M+H]+C11H12N2O2143.0738,142.0662,132.0825,130.0662

128.0514,
amino acids*
10scopoletin-D-xylopyranosyl

-(1→6)-D-glucopyranoside
2.27486.1373487.14480.4[M+H]+C21H26O13355.0976,193.0539,163.0440,133.0678

87.0647
coumarins
11(8R,9R)-8,9-dihydroxylatractylodinol-9-O-β-D-glucopyranoside2.30394.1264395.1320−4.2[M+H]+C19H22O9232.0632,215.0721,198.1827,164.0443

114.1107
polyacetylenes
12chlorogenic acid2.31354.0951355.1013−4.5[M+H]+C16H18O9163.0392,145.0296,135.0460,117.0358

107.0523
organic acids[40]
135-O-feruloylquinic acid3.23368.1107369.1176−1.1[M+H]+C17H20O9177.0546,149.0628,145.0313,117.0387organic acids[33]
14Rutin3.51610.1534611.1602−0.4[M+H]+C27H30O16465.1037,303.0537,129.0578,71.0537flavonoids*
151-(2-Furyl)-(1E,7E)-nonadiene-3,5-diyne-9-yl 4-methylbenzoate or isomers3.61314.1307315.1368−3.5[M+H]+C22H18O2283.1007,247.0852,235.0827,222.0770

211.0851

206.0838,193.0768,167.0604
polyacetylenes
16Puerarin3.61432.1057433.1127−0.5[M+H]+C21H20O10415.0701,397.0648,379.0570,361.0456,

337.0506,323.0739,309.0626,283.0486,

255.0580,165.0197,149.0250,121.0339
flavonoids[41]
17scopoletin3.88192.0423193.0493−1.1[M+H]+C10H8O4193.0507,178.0266,165.0574,161.0246,

150.0326,137.0609,133.0298,122.0381,

107.0507,105.0360
coumarins[42]
18ferulic acid3.93194.0579195.06520.2[M+H]+C10H10O4152.0364,149.0598,145.330,134.0391,

117.0352,106.0433
organic acid*
19scoparone5.46206.0579207.0553−4.9[M+H]+C11H10O4191.0322,163.0394,151.0760,146.0394,

135.0483,133.0324,117.0365,107.0551

105.0400
coumarins[32]
204-methylumbelliferone5.83176.0473177.0543−2[M+H]+C10H8O3149.0636,145.0293,134.0372,117.0361,

115.0533,106.0435,105.0357
coumarins[43]
21luteolin6.20286.0477287.0547−1.0[M+H]+C15H10O6287.0457,269.0372,241.0458,153.0196,

139.0584,135.0468,
flavonoids[42]*
222-[(2′E)-3′,7′-dimethyl-2′,6′-octadienyl]

-4-methoxy6-methylphenol
6.35272.2140273.2208−1.7[M+H]+C19H28O220.1760,182.0983,165.0724,160.1258,aromatics
23eudesm-4(15),7-diene-9α,1

1-diol or isomers
6.47236.1776237.1846−1.3[M+H]+C15H24O2201.1597,173.1307,161.1351,145.1041

119.0902,107.0936
terpenoids
24umbelliferone6.99162.0317163.0387−1.6[M+H]+C9H6O3135.0465,133.0284,105.0349,103.0554coumarin[40]
25(4E,6E,12E)-tetradeca-4,6,

12-trien-8,10-diyne-1,3,14-triol
7.01232.1099233.1166−2.6[M+H]+C14H16O3215.1072,187.1096,175.1111,169.1042

159.1181,153.0705,141.0718,131.0877

129.0725,119.0885,115.0578,105.0747,
polyacetylenes[37]
26baicalein7.32270.0528271.0589−4.3[M+H]+C15H10O5271.0560, 253.0458,225.0520, 179.0477

169.0115, 151.0026, 123.0077, 95.0141
flavonoids*
27wogonin8.05284.0685285.0752−2.0[M+H]+C16H12O5270.0443,253.0438,242.0519,168.0051

140.0119
flavonoids*
282-methoxy-4-methyl-1-(1-methylethyl)benzene8.29164.1201165.12750.5[M+H]+C11H16O165.0689,163.0529,119.0826,109.0649,

107.0872,105.0707
terpenoids
29ethyl 3-(4-Hydroxyphenyl) acrylate or isomers8.36192.0786193.0857−1.1[M+H]+C11H12O3161.0597,135.0497,133.0670,131.0500,

118.0442,115.0571,105.0731,103.0578
aromatics
30β-elemene or isomers9.16204.1878205.1950−0.3[M+H]+C15H24149.1343,121.1009,119.0887,107.0865,terpenoids
314α,7α-epoxyguaiane-10α,11-diol or isomers9.31254.1882255.19550.3[M+H]+C15H26O3158.0252,141.0051,133.1038,128.0633,

117.0704,107.0893
terpenoids
32(4E,6E,12E)-1-acetoxy-3-(2-methylbutyryloxy)

−4,6,12-trien-8,10-diyn-14-ol or isomers
9.53358.1780359.18560.8[M+H]+C21H26O5359.1732,341.1554,331.1816,313.1741,

311.1558,295.1587,271.1628,243.1348,

225.1588,217.1617, 211.1128,105.0704
polyacetylenes
33Safrole9.74162.0681163.07540.4[M+H]+C10H10O2163.0764,135.0829,117.0731,115.0559,

107.0509,103.0564
aromatics[44]
34atractylenolide Ⅲ9.80248.1412249.1481−1.6[M+H]+C15H20O3231.1394,213.1286,203.1434,198.1056,

189.0929,175.0764,163.0761,155.0870,

142.0788,129.0709,117.0710,105.0708
terpenoids*
35(6E,12E)-1-acetoxytetradeca

−6,12-dien-8,10-diyn-3-ol or isomers
10.02260.1412261.14870.7[M+H]+C16H20O3261.1412,243.1405,219.1771,201.1634,

187.0770,173.1337,159.1172,145.1035,

131.0875,115.0575
polyacetylenes
365-Isopropyl-2-methyl-2,4-cyclohexadien-1-one11.10150.1045151.1116−0.7[M+H]+C10H14O117.0711,115.0555,109.0644,105.0705,

103.0531
terpenoids
37atractylenolide Ⅱ12.66232 .1463233.1533−1.5[M+H]+C15H20O2233.1493,215.1396,197.1312,187.1462,

167.0861,159.0830,145.1020,141.0722, 117.0734,115.0579,105.0741
terpenoids*
38azulene13.06128.0626129.0698−0.6[M+H]+C10H8128.0632,117.0701,115.0577,113.0462,

103.0537, 102.0487
terpenoids[37]
39(4E,6E,12E)-tetradecatrien e−8,10-diyne-1,3-diyl diacetate13.44300.1362301.1426−2.7[M+H]+C18H20O4199.1113,178.0808,165.0705,152.0629,

141.0694, 128.0633,115.0557,105.0706
polyacetylenes[37]
40furanodiene13.78216.1514217.1582−2.3[M+H]+C15H20O157.1003,143.0871,119.0879,105.0727terpenoids[45]
41amylcinnamyl alcohol or isomers14.74204.1514205.15880.6[M+H]+C14H20O187.1524,161.1366,149.0260,141.9626,

128.9546,119.0892,100.9363,97.9725,

81.0740,55.9393
alkenes
42curcumene or isomers15.62202.1722203.1791−1.6[M+H]+C15H22147.1176,133.1014,119.0875,105.0729terpenoids[46]
43atractylenolide Ⅰ15.62230.1307231.1376−1.7[M+H]+C15H18O2231.1393,215.1089,201.0933,188.0854,

185.1326,175.0779,165.0710,155.0857,

142.0780,129.0700,115.0546,105.0709
terpenoids*
44selina-4(14),7(11)-dien-8-one17.32218.1671219.1740−1.7[M+H]+C15H22O177.1255,141.0732,131.0856,119.0868,

107.0863, 105.0708
terpenoids[22]
45(E,E,E)-2,4,6-octatriene17.36108.0939109.1011−0.3[M+H]+C8H12100.9589alkenes
46(1S,4S)-Bicyclo[2.2.1]hept-5-en-2-one18.12108.0575109.06524[M+H]+C7H8O109.0839,100.9582alkenes
47diisobutyl phthalate or isomers18.26278.1518279.15910.2[M+H]+C16H22O4201.0448,149.0245,121.0306,aromatics[47]
48diethyl phthalate18.31222.0892223.0965−0.1[M+H]+C12H14O4223.1675,207.0263, 191.0000,

149.0245,121.0316
aromatics[48]
49atractylodin19.85182.0732183.08060.6[M+H]+C13H10O152.06017,141.0767,139.0542,128.0632

115.0564
polyacetylenes[37]
50(6E,12E)-tetradecadiene-8,10-diyne-1,3-diol diacetate20.38302.1518303.1587−1.2[M+H]+C18H22O4243.1329,172.8635,135.0464polyacetylenes[28]
51methyl linolenate22.25292.2402293.2470−1.7[M+H]+C19H32O2293.2021,145.0908,121.1054,109.1036,

107.0918,105.0757
aliphatics[49]
52Sitosterol22.31414.3862415.39344.2[M+H]+C29H50O397.2353,369.2470,341.2659,313.3311,steroids[50]
53oleanolic acid23.63456.3604457.3667−2[M+H]+C30H48O3411.3532,333.1758,315.2569,297.2513,

269.2217, 31.2073,217.1558,203.1818,

189.1646,163.1486,149.1339,135.1182,

119.0892,107.0880
terpenoids*
54atractyline23.94216.1514217.1584−1.5[M+H]+C15H20O199.1529,161.1019,147.1244,143.0913,

133.1072,105.0777,95.0565,77.0465,

67.0629
terpenoids[51]*
55stigmasterol25.22412.3705413.37983.6[M+H]+C29H48O395.3149,383.2175,365.1762,294.1277,

273.1184,243.1100,229.0963,215.0814,

202.0743,165.0706,141.0720,115.0577
steroids[52]
56monoolein26.125356.2927357.30000.1[M+H]+C21H40O4357.2905,310.1592,247.2414,149.1308

135.1218,107.0918
aliphatics[37]
57linoleic acid26.27280.2402281.2475−0.1[M+H]+C18H32O2263.2292,245.2210,219.2089,203.1790,

189.1640,175.1473,165.1255,149.1339,

147.1179,133.1031,119.0881,105.0733
fatty acids[53]
58palmitic acid29.04256.2402257.2471−1.4[M+H]+C16H32O2257.1879,178.0783,165.0697,128.0630,

115.0553
fatty acids[53]
59oleic acid29.72282.2559283.2623−3.1[M+H]+C18H34O2263.2288,245.2234,219.2126,203.1795

189.1614,175.1468,161.1329,149.1342

147.1178,135.1181,133.1032,

119.0874, 105.0728
fatty acids[53]
60atractylenolide VI31.04202.1722203.1791−1.6[M+H]+C15H22173.0990,147.1182,133.1031,119.0880

105.0729
terpenoids[21]
61methyl octadeca-9,12-dienoate32.31294.2559295.2628−1.4[M+H]+C19H34O2295.1587,280.1339,237.1231,226.0852,

199.0727,187.0738,159.0804,142.0815,

141.0720,128.0639,115.0562,119.0867
aliphatics[54]

*Compounds 2, 6, 9, 14, 18, 21, 26, 27, 34, 37, 43 and 53 were identified by comparison with reference standards.

Identification of terpenoids

Sixteen compounds (8, 23, 28, 30, 31, 34, 36, 37, 38, 40, 42, 43, 44, 53, 54, and 60) were identified as terpenoids, which have no irregular parent nucleus structure. These compounds were assigned as sesquiterpenoids (23, 30, 31, 34, 37, 40, 42, 43, 44, 54, and 60), diterpenes (8, 28, 36, and 38), and pentacyclic triterpene (53). Compound 60 exhibited a m/z 203.1791[M+H]+ at a Rt of 31.04 min. By comparing Rt and the characteristic ions at m/z 173.0990 [M+H–2CH3]+, 147.1182[M+H–C3H5–CH3]+ with literature data [21]. Compound 60 was tentatively identified as atractylenolide VI. Compound 44 was inferred as selina-4(14), 7(11)-dien-8-one by consulting literature in the same way [22]. Compound 23 (ppm −1.3) with an adduct ion at m/z 237.1846 [M+H]+ produced ions at m/z 201.1597[M+H–2H2O]+, 173.1307[M+H–2H2O–2CH2]+, and 161.1351[M+H–H2O–C3H6O]+. Compound 23 with the core skeleton similar to compounds 60 and 44 was identified as eudesm-4(15),7-diene-9α,11-diol or its isomers. Compounds 34, 37, 43, and 53 were confirmed as atractylenolide Ⅲ, atractylenolideⅡ, atractylenolide Ⅰ, and oleanolic acid by comparison to standards. Atractylenolide Ⅲ, atractylenolide Ⅱ, and atractylenolide Ⅰ possess multiple activities. Atractylenolide Ⅰ and atractylenolide Ⅱ have noticeable anti-tumor activities [9, 23]. Atractylenolide Ⅰ and atractylenolide Ⅲ have excellent anti-inflammatory and neuroprotective activities [24]. Oleanolic acid exerted beneficial bio-active effects including anti-viral, antibacterial, anticarcinogenic, anti-atherosclerotic, anti-diabetes, etc [25]. Mass spectral and chromatographic information, and reference literatures for identification of compounds 30, 31, 36 38, 40, 42, and 54 were listed in Table 1.

Identification of polyacetylenes

Polyacetylenes are a class of vigorous compounds consisting of carbon-carbon triple bond that are abundant in natural medicine. Diverse biological functions including immune regulation, tumor suppression, anti-depressant, and neuroprotection have attracted extensive attention [26]. Compounds 11, 15, 25, 32, 35, 39, 49, and 50 were judged as polyacetylenes. Compound 11 (Rt 2.3 min) displayed an [M+H]+ precursor ion peak at m/z 395.1320 (error ppm −4.2). The formula was calculated as C19H22O9. For the characteristic ion at m/z 232.0632 corresponds to the loss of glucopyranoside, compound 11 was conducted as (8R,9R)-8,9-dihydroxylatractylodinol-9-O-β-D-glucopyranoside. Compound 50 present a precursor ion [M+H]+ at m/z 303.1587 (error ppm −1.2, C18H22O4). The mass spectrum showed the primary fragment ion was m/z 243.1329 by losing of terminal methyl ester. By comparing Rt of literature [27, 28], the compound 50 was considered as (6E,12E)-tetradecadiene-8,10-diyne-1,3-diol diacetate. Other identified polyacetylenes were introduced in Table 1, correspondingly.

Identification of flavonoids and coumarins

Flavonoids have a wide variety of bioactivities including antioxidation, cardio-protective, anti-inflammatory, anticancer, and other properties [29, 30]. Flavonoids possessed a characteristic “C6–C3–C6” skeleton, easy to break glycosidic bonds and Diels-Alder (RDA) reaction generating major fragment ions [29]. Compounds 14, 16, 21, 26, and 27 belong to flavonoids, divided into flavone aglycones (14 and 16) and glycosyl flavonoids (21, 26, and 27). Compound 14 was ascribed to rutin compared with reference standard, which yielded an [M+H]+ ion at m/z 611.1602 and produced fragments ions [M+H–C6H10O4]+ at m/z 465.1037, [M+H–C6H10O4–C6H10O5]+ at m/z 303.0537. As a result, compounds 16, 21, 26, and 27 were identified as puerarin, luteolin, baicalein, and wogonin based on the differentiated data in Table 1.

Coumarins were part of benzopyrone family. Natural coumarins have extensive pharmacological activities such as antifungal, antiviral, Alzheimer's disease inhibition, etc. [31]. The ordinary fragmentation pathway was observed losing neutral molecules carbon monoxide, carbon dioxide, methyl, H2O, and sugar, etc. [30]. For example, compound 19 gave an [M+H]+ ion at m/z 207.0553 and generated fragments ions at m/z 191.0322[M+H–CH4]+, 151.0726[M+H–C3H4O]+, and 145.0237[M+H–C2H6O2]+ (seen in Table 1). Thus, compound 19 was identified as scoparone according to previous literatures [32]. Compounds 10, 17, 20, and 24 were recognized as scopoletin-D-xylopyranosyl-(1→6)-D-glucopyranoside, scopoletin, 4-methylumbelliferone, and umbelliferone in comparison with standard or literatures, respectively.

Identification of organic acids, amino acids, fatty acids, steroids, and the others

Five compounds (3, 4, 12, 13, and 18) were identified as organic acids in the positive mode. Through the characteristic ions at m/z 175.0864 [M+H–H2O]+, 147.0943[M+H–H2CO2]+, 129.0172[M+H–H2O–H2CO2]+, and precursor ion at m/z 193.0345[M+H]+, compound 3 was predicted as citric acid. Compound 4 had deprotonated molecular at m/z 175.0235[M+H]+ at 1.16 min. The loss of carboxyl (HCO2) generated a major fragment ion at m/z 130.0994. Compound 4 was identified as aconitic acid. Fragmentary ions at m/z 145, 149 and 117 can result from compounds 12, 13 and 18, because they have a common mono-acyl chlorogenic acid. Compounds 12, 13, and 18 were recognized as chlorogenic acid, 5-O-feruloylquinic acid, and ferulic acid. Compounds 1, 2, 6, and 9 were classified as amino acids. A parent ion at m/z 116.0711[M+H]+ was observed with Rt of 0.88 min, with the predicted formula C5H9NO2. The fragmentation ion at m/z 70.0735 [M+H–H2CO2]+ was similar to that in documents [33] and human metabolome database. Compound 1 was attributed to proline. Compounds 57, 58, and 59 belong to fatty acids, while compounds 52 and 55 are steroids. By consulting the reference substances with the same MS2 spectra and Rt (seen in Table 1), compounds 2, 6, 9, 52, 55, 57, 58, and 59 were identified as L-tyrosine, L-phenylalanine, L-tryptophan, sitosterol, stigmasterol, linoleic acid, palmitic acid, and oleic acid, respectively.

There are thirteen additional chemicals including 5 (alkaloid), 7 (aldehyde), 22 (aromatics), 29 (aromatics), 33 (aromatics), 41 (alkenes), 45 (alkenes), 46 (alkenes), 47 (aromatics), 48 (aromatics), 51 (aliphatic), 56 (aliphatic), and 61 (aliphatic). On basis of the data found in literature or regular MS splitting decomposition law, compounds 5, 7, 22, 29, 33, 41, 45, 46, 47, 48, 51, 56, and 61 were assigned to uridine, 5-hydroxymethyl furaldehyde, 2-[(2′E)-3′,7′-dimethyl-2′,6′-octadienyl]-4-methoxy6-methylphenol, ethyl 3-(4-Hydroxyphenyl) acrylate or isomers, safrole, amylcinnamyl alcohol or isomers, (E,E,E)-2,4,6-octatriene, (1S,4S)-Bicyclo[2.2.1]hept-5-en-2-one, diisobutyl phthalate or isomers, diethyl phthalate, atractylodin, methyl linolenate, monoolein, and methyl octadeca-9,12-dienoate, respectively.

Quantitative analysis

Method validation

Six different concentrations of mixed standard solutions were applied for constructing standard curves by plotting the peak area (y) versus the concentration (x). Table 2 shows the linear equation with good correlation coefficient (0.9990–0.9999) over a wide linear range of the nine standards. The limit of detection (LOD) and the limit of quantification (LOQ) of analytes were calculated as signal-to-noise of 3:1 and 10:1, respectively. The LODs and LOQs of nine analytes were in the range of 1.86–31.64 ng mL−1 and 7.42–126.56 ng mL−1, respectively. The intra- and inter-day precision of the developed method were analyzed by repeated injection for six times in one day or over three consecutive days, respectively. The relative standard deviations (RSDs) of intra- and inter-day precisions of nine targets were 0.71%–2.81% and 1.01%–4.51%, respectively. The repeatability was examined by continuously injecting the same sample for six times. The same sample was analyzed at 0, 4, 8, 12, 24 and 48 h to examine stability. The RSDs of repeatability and stability performed on S7 were ranged from 1.56%–3.30% and 1.02%–3.54%, respectively. A certain quantity of the nine analytes at low, medium, and high concentrations were added into a 0.25 g powder of S7. The recovery was analyzed by comparing the detected amounts of reference compounds with the spiked amount (Tables S2). The average recoveries (n = 3) of the nine analytes were in the range of 95.61%–103.57% with the RSD <4.66. The results indicated that the analytical methods are appropriate for determination of three amino acids, three sesquiterpenoids, a flavonoid, an organic acid, and a pentacyclic triterpenoid, simultaneously.

Table 2.

Linear equation, correlation coefficient, linear range, LODs, LOQs, precision, repeatability, stability, and recovery of nine reference standards

NO.Linear equationCorrelation coefficientLinear range (μg mL−1)LODs (ng mL−1)LOQs (ng mL−1)Precision RSD (%)Repeatability

RSD (%)
Stability

RSD (%)
Recovery (%)
Intra-dayInter-dayMeanRSD
2y = 2.42684e5x+19475.349900.99940.10–3.2812.8151.251.021.432.711.4598.922.51
6y = 2.81161e5x+5.21415e40.99990.66–21.2710.3983.091.992.162.433.02103.571.75
9y = 4.90522e5x+17522.039310.99970.51–16.2031.64126.561.461.313.303.54102.324.66
14y = 7.76104e5x + −4218.354680.99920.01–0.481.867.422.814.512.752.6595.610.41
18y = 2.01936e5x + −4679.181560.99960.11–3.4013.28106.250.921.202.152.0096.473.87
34y = 6.88885e5x+1.64143e60.99961.57–50.313.0712.280.792.123.101.1698.891.45
37y = 3.01940e6x+2.53101e60.99900.40–12.783.1212.481.541.713.152.8699.103.36
43y = 2.25477e6x+1.91026e60.99940.80–25.706.2725.101.251.603.012.5199.632.87
53y = 6.20298e4x+3.72172e40.99930.21–6.5825.68102.730.711.011.561.0297.821.13

Quantitative determination of nine components in AMR

As obviously displayed in Fig. 2 and Table S3, atractylenolide Ⅲ (150.30–303.20 μg g−1), atractylenolide Ⅱ (119.60–210.80 μg g−1) and atractylenolide Ⅰ (72.84–185.76 μg g−1) were the major bioactive components, which was consistent with previous reports [34]. Aractylenolide Ⅲ, atractylenolide Ⅱ, and atractylenolide Ⅰ were frequently considered as key chemicals for AMR quality control. Few reports concerning quantification of amino acids in AMRs were published. As shown in Table S3, L-tyrosine, L-phenylalanine, and L-tryptophan (14.60–40.00 μg g−1, 117.00–245.60 μg g−1, 27.00–211.60 μg g−1, respectively) were detected in seventeen AMR batches. L-phenylalanine and L-tryptophan were observed abundant in AMR samples. The level of tryptophan in the body is both tightly relevant to depression pathophysiology [35]. The exogenous amino acid could be supplied from the diet of AMR for disease prevention. In addition, the amount of oleanolic acid (2.44–144.36 μg g−1) was reported for the first time. As a note, the amounts of oleanolic acid in S2, S3, S9, S11, and S16 were unable to be calculated for their content was not up to LOQ standard. Rutin, as a familiar flavonoid, had low content (0.4–3.10 μg g−1) in seventeen AMR batches (seen in Table S3). An assessment of the amount of ferulic acid had also been observed at 1.46–3.60 μg g−1. Ferulic acid has multiple functions such as anti-oxidant and anti-inflammatory [36]. The detailed composition profiles of the nine quantified components in seventeen batches of AMR were presented in Fig. 2.

Fig. 2.
Fig. 2.

Composition profiles of the quantified nine components in AMR extracts

Citation: Acta Chromatographica 36, 4; 10.1556/1326.2023.01151

Conclusion

In this research, a UPLC-QTOF-MS method was developed for qualitative and quantitative analysis of AMR, simultaneously. The results highlighted nutritional composition such as amino acids, which significantly complement for the chemical profiling of AMR. A total of 61 chemical compositions including 16 terpenoids, 8 polyacetylenes, 6 aromatics, 5 flavonoids, 5 coumarins, 5 organic acids, 4 amino acids, 3 fatty acids, 3 aliphatics, 2 steroids, and 2 alkenes, a nucleoside and an aldehyde were identified. Simultaneously, the contents of three amino acids, three sesquiterpenoids, a flavonoid, an organic acid, and a pentacyclic triterpenoid were determined in seventeen AMR batches. Amino acids and triterpenoid were quantified for the first time in AMR. The established UPLC-QTOF-MS method in this article was practical, useful, and reliable for qualitative and quantitative evaluation of AMR multi-components.

Acknowledgements

This work was funded by grants from the National Science Foundation of China (No. 81973510), the Specialized Research Fund for the Doctoral Program of Wannan Medical College (No. WYRCQD2019008), and the Project of top talents in universities of Anhui Province (No. gxbjZD2022043).

Supplementary data

Supplementary data to this article can be found online at https://doi.org/10.1556/1326.2023.01151.

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Supplementary Materials

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Senior editors

Editor(s)-in-Chief: Sajewicz, Mieczyslaw, University of Silesia, Katowice, Poland

Editors(s)

  • Danica Agbaba, University of Belgrade, Belgrade, Serbia (1953-2024)
  • Łukasz Komsta, Medical University of Lublin, Lublin, Poland
  • Ivana Stanimirova-Daszykowska, University of Silesia, Katowice, Poland
  • Monika Waksmundzka-Hajnos, Medical University of Lublin, Lublin, Poland

Editorial Board

  • Ravi Bhushan, The Indian Institute of Technology, Roorkee, India
  • Jacek Bojarski, Jagiellonian University, Kraków, Poland
  • Bezhan Chankvetadze, State University of Tbilisi, Tbilisi, Georgia
  • Michał Daszykowski, University of Silesia, Katowice, Poland
  • Tadeusz H. Dzido, Medical University of Lublin, Lublin, Poland
  • Attila Felinger, University of Pécs, Pécs, Hungary
  • Kazimierz Glowniak, Medical University of Lublin, Lublin, Poland
  • Bronisław Glód, Siedlce University of Natural Sciences and Humanities, Siedlce, Poland
  • Anna Gumieniczek, Medical University of Lublin, Lublin, Poland
  • Urszula Hubicka, Jagiellonian University, Kraków, Poland
  • Krzysztof Kaczmarski, Rzeszow University of Technology, Rzeszów, Poland
  • Huba Kalász, Semmelweis University, Budapest, Hungary
  • Katarina Karljiković Rajić, University of Belgrade, Belgrade, Serbia
  • Imre Klebovich, Semmelweis University, Budapest, Hungary
  • Angelika Koch, Private Pharmacy, Hamburg, Germany
  • Piotr Kus, Univerity of Silesia, Katowice, Poland
  • Debby Mangelings, Free University of Brussels, Brussels, Belgium
  • Emil Mincsovics, Corvinus University of Budapest, Budapest, Hungary
  • Ágnes M. Móricz, Centre for Agricultural Research, Budapest, Hungary
  • Gertrud Morlock, Giessen University, Giessen, Germany
  • Anna Petruczynik, Medical University of Lublin, Lublin, Poland
  • Robert Skibiński, Medical University of Lublin, Lublin, Poland
  • Bernd Spangenberg, Offenburg University of Applied Sciences, Germany
  • Tomasz Tuzimski, Medical University of Lublin, Lublin, Poland
  • Adam Voelkel, Poznań University of Technology, Poznań, Poland
  • Beata Walczak, University of Silesia, Katowice, Poland
  • Wiesław Wasiak, Adam Mickiewicz University, Poznań, Poland
  • Igor G. Zenkevich, St. Petersburg State University, St. Petersburg, Russian Federation

 

SAJEWICZ, MIECZYSLAW
E-mail:mieczyslaw.sajewicz@us.edu.pl

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2023  
Web of Science  
Journal Impact Factor 1.7
Rank by Impact Factor Q3 (Chemistry, Analytical)
Journal Citation Indicator 0.43
Scopus  
CiteScore 4.0
CiteScore rank Q2 (General Chemistry)
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SJR index 0.344
SJR Q rank Q3

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Acta Chromatographica
Language English
Size A4
Year of
Foundation
1988
Volumes
per Year
1
Issues
per Year
4
Founder Institute of Chemistry, University of Silesia
Founder's
Address
PL-40-007 Katowice, Poland, Bankowa 12
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2083-5736 (Online)

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