Next Article in Journal
Androgen Receptor in Breast Cancer—Clinical and Preclinical Research Insights
Previous Article in Journal
Continuous Flow Photochemistry for the Preparation of Bioactive Molecules
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Systematic Detection and Identification of Bioactive Ingredients from Citrus aurantium L. var. amara Using HPLC-Q-TOF-MS Combined with a Screening Method

1
Hunan Key Laboratory of Traditional Chinese Veterinary Medicine & College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
2
College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China
3
Green Melody Bio-engineering Group Company Limited, Changsha 410329, China
*
Authors to whom correspondence should be addressed.
These authors contribution equally to this work.
Molecules 2020, 25(2), 357; https://doi.org/10.3390/molecules25020357
Submission received: 5 December 2019 / Revised: 7 January 2020 / Accepted: 10 January 2020 / Published: 15 January 2020

Abstract

:
Bitter orange, Citrus aurantium L. var. amara (CAVA), is an important crop and its flowers and fruits are widely used in China as a food spice, as well as in traditional Chinese medicine, due to its health-promoting properties. The secondary metabolites that are present in plant-derived foods or medicines are, in part, responsible for the health benefits and desirable flavor profiles. Nevertheless, detailed information about the bioactive ingredients in CAVA is scarce. Therefore, this study was aimed at exploring the phytochemicals of CAVA by high performance liquid chromatography/quadrupole time-of-flight mass spectrometry (HPLC-Q-TOF-MS). Here, a systematic screening method combined with HPLC-Q-TOF-MS was presented. This technique was used to systematically screen metabolites, primarily from the complex matrix of CAVA, and to identify these compounds by their exact masses, characteristic fragment ions, and fragmentation behaviors. A total of 295 metabolites were screened by the screening method and 89 phytochemicals were identified in the flowers, fruits, roots, leaves, and branches of CAVA. For the first time, 69 phytochemicals (flavonoids, alkaloids, terpenoids, etc.) were reported from CAVA. The results highlight the importance of CAVA as a source of secondary metabolites in the food, medicine, and nutraceutical industries.

1. Introduction

Citrus aurantium L. var. amara (CAVA), known as the bitter or sour orange, is a variant of C. aurantium L. The flowers and fruits of CAVA are recommended medicine, as well as food, by the Chinese Ministry of Health and are widely distributed in Hunan, Jiangxi, Fujian, Guangdong, and Zhejiang provinces of China [1,2]. They are used for losing weight, reducing sputum, and relieving asthma in traditional Chinese medicine (TCM) [3,4,5]. Recent pharmacological studies have shown that CAVA has potential antioxidant [6], antitumor [7], anti-inflammatory [8], antimicrobial [9], anti-atherosclerosis [10], antianxiety [11], and antiamnesic [12] activities. Flavonoids and alkaloids are regarded as the primary active phytochemicals in CAVA, specifically, flavonoid glycosides, flavone, flavanone, and polymethoxyflavone [13,14,15,16,17]. In addition, CAVA contains volatile oils [18], limonoids [19], and coumarins [19]. In previous studies, only fourteen flavonoids, three coumarins, one limonin, and two alkaloids were purified and isolated from CAVA [3,6,20,21,22]. In addition to these well-known constituents, a number of unknown flavonoids, alkaloids, coumarins, and limonoids were detected by HPLC-Q-TOF-MS in trace amounts and require further investigation.
Systematic phytochemical isolation, bioactivity-guided isolation, and mass spectrometry (MS) guided isolation have all been used, in previous studies, as the three primary methods to isolate and identify unknown compounds [23]. MS-guided isolation is a high efficiency method for detection and isolation of new metabolites or isomers from plant samples. Compared with traditional phytochemical separation methods, this method can avoid repetitive separation of known compounds, and thus has a higher potential for the discovery of new compounds [23,24]. Therefore, it is necessary to identify the chemicals using HPLC-Q-TOF-MS technologies primarily. In this study, we present a comprehensive approach to using HPLC-Q-TOF-MS, combined with a screening strategy as a rapid, sensitive, and simple method for systematic screening and identification of flavonoids, alkaloids, coumarins, and limonoids in CAVA.
In many early studies, the separation and identification of chemical constituents by liquid chromatography mass spectrometry (LC-MS) has been typically performed on a single part of a plant [3,4,21], which caused a number of compounds to be omitted. In this study, samples extracted from the flowers, fruits, leaves, branches, and roots of CAVA were analyzed. Compounds that led to distinct peaks in total ion chromatography (TIC) are easily isolated and identified, but trace components and those exhibiting poor MS response that do not show significant peaks in TIC are difficult to detect and characterize. To solve this problem, a screening protocol, including non-, accurate-, and extensive-target methods was combined to find the flavonoids, alkaloids, coumarins, limonoids, and other compounds in CAVA.
The non-target method is widely used as a traditional and common means to detect compounds by screening the secondary metabolites one-by-one, based on the significant peaks of TIC. However, for some trace components or low MS response compounds, distinct peaks are not formed, and thus are easily missed [24]. The accurate-target method is a means to identify compounds that have been reported in specific plants from previous studies, however, this method is only suited for well-known compounds and does not work for unknown compounds [24]. The extensive-target method is a relatively comprehensive means to screen similar compounds, resulting in the formation of a series of theoretical exact masses by combining known skeletons with common substituent groups in specific plants and, then, screening the theoretical calculated mass from TIC to discover the potential molecular candidates [25]. The above three methods have been used individually for screening metabolites in specific plants, however, systematic detection of compounds by combining the three methods has rarely been reported. In this study, 295 compounds were detected in CAVA by combining all three methods and 89 of them were identified.

2. Results and Discussions

2.1. Establishment of the Screening Method

LC-MS is a fast and sensitive tool for the detection and identification of metabolites in plant medicines and foods. In previous studies, many components, especially trace compounds, have been missed due to poor screening methods. In a specific plant, analogues with the same skeleton but different substituent groups are synthesized synchronously in different amounts through specific biosynthetic pathways. Abundant compounds, or ones exhibiting a high-quality MS response, are easy to detect, while trace analogs, or compounds that exhibit a poor MS response, are always overwhelmed by complex matrices, and are difficult to discover [23,24]. In light of this situation, a method for detecting analogues in CAVA using HPLC-Q-TOF-MS combined with a screening strategy was established (Figure 1). Three approaches, non-, accurate-, and extensive-target were used for systematic screening metabolites from the TICs of different CAVA samples.
A non-target method was used to screen compounds that were abundant or compounds that exhibited a high-quality MS response which can present distinct peaks in TIC and, then, fragment ions were obtained by tandem mass spectrometry (MS/MS). An accurate-target method was performed by first developing a list of all reported compounds in previous studies from the genus including their structure, molecular formula, accurate mass, and identification method. Then, the measured exact masses of candidates were obtained using extracted ion chromatogram (EIC) of the calculated precise mass of reported compounds on the TICs. Finally, the characteristic fragment ions of candidates were produced by target-MS/MS. In this study, 142 previously reported compounds were summarized; 106 components were detected in CAVA using the accurate-target method and 44 of them were identified. An extensive-target method combines known basic molecular units with different sugars to obtain a series of theoretical calculated masses and, then, EIC of the formed theoretical exact masses on the TICs of the samples were performed. If the measured MS data match the theoretical calculated mass, those combined molecules are considered to be present in the sample. Finally, the fragments of each candidates were obtained by target-MS/MS. In this study, 272 theoretical exact masses were formed by combining the eight basic units (hesperitin, naringenin, apigenin, eriodictyol, diosmetin, acacetin, luteolin, and cirsimaritin) with four common sugars (glucose, rhamnose, arabinose, and glucuronic acid). According to the TICs of flowers, fruits, leaves, roots, and branches of CAVA, the measured exact masses of 67 candidates were obtained by using an EIC method, and the target-MS/MS analysis was conducted for each candidate. Finally, the most likely structures of 38 metabolites were inferred by the fragmentation pathway of references. The above three methods have been used individually for screening of metabolites in specific plants, however, comprehensive and systematic detection of bioactive ingredients by combining the three methods has been rarely reported (Figure 1). In this study, 295 compounds were screened from CAVA by combining all three methods and 89 of them were identified.

2.2. Screening and Identification of Flavonols and Flavonol Glycosides

A series of similar compounds with the same framework but different substituent groups are distributed throughout CAVA. Since these analogues typically display similar MS fragmentation behaviors, investigation of the fragmentation pathways of well-known references is a valid approach for identifying the unknown analogues. The fragmentation behaviors and characteristic diagnostic ions of ten reference samples were investigated in detail and used for identifying the flavonols and flavonol glycosides in CAVA.
In the MS/MS spectra of neoeriocitrin (36), poncirin (39), eriocitrin (40), naringin (42), naringenin (43), narirutin (44), neohesperidin (51), hesperidin (56), apigenin (59), and hesperitin (61) (Figure S1), four fragmentation behaviors dominated. The first fragmentation pathway was the successive neutral loss of sugars from the protonated flavonol glycoside, and formation of the basic unit. In the MS/MS spectra of 36, 39, 40, 42, 44, 51, and 56, the protonated basic unit ions at m/z 289.0678, 287.0896, 289.0672, 273.0731, 273.0731, 303.0846, and 303.0861 were formed, respectively, by the loss of a Glc-Rha group from the protonated precursor ions at m/z 597.1767, 595.2001, 597.1785, 581.1819, 581.1847, 611.1881, and 611.1983 (Figure 2). The second fragmentation pattern was the cleavage of the C-ring and formation of a series of relatively low m/z fragment ions (Figure 2). The characteristic fragment ions at m/z 153.01, 119.04, and 149.05 for 36, 39, 40, 42, 43, 44, 51, 56, 59, and 61 were produced by a retro Diels–Alder (RDA) reaction (cleavage of j and k-bond of the C-ring). The third fragmentation pattern was the loss of small molecular groups, such as H2O and CO, from the basic skeleton and formation of a series of fragment ions. In the MS/MS spectra of compounds 59 and 61, fragment ions at m/z 253.0465 and 285.0728 were generated by the loss of H2O moiety from the [M + H]+ ions with m/z values of 271.0572 and 303.0840, respectively [26]. The final fragmentation pattern was cleavage of the sugar moiety and formation of a series of relatively low m/z fragment ions. The characteristic fragment ions at m/z 147.06 and 129.05 for 36, 39, 40, 42, 44, 51 and 56 were formed by cleavage of the sugar moiety. These fragmentation behaviors are considered to be diagnostic pathways for flavonols and flavonol glycosides in CAVA. The proposed fragmentation patterns are shown in Figure 2.
In previous studies, the basic units of flavonols and flavonol glycosides in CAVA were apigenin ([M + H]+ m/z 271.0606), naringenin ([M + H]+ m/z 273.0763), hesperidin ([M + H]+ m/z 303.0869), eriodictyol ([M + H]+ m/z 289.0712), diosmetin ([M + H]+ m/z 301.0712), acacetin ([M + H]+ m/z 285.0763), luteolin ([M + H]+ m/z 287.0556), and cirsimaritin ([M + H]+ m/z 315.0869) [20,21]. The dehydrated glucose (Glc, 162.0528), rhamnose (Rha, 146.0579), arabinose (Ara, 132.0423), and glucuronic acid (Glc A, 176.0321) were the primary substituent groups for those components. By adding no more than three sugar molecules to the skeleton, a total of 272 different theoretical exact masses were obtained. Sixty-seven candidates were produced using EIC based on the TIC of flowers, fruits, roots, leaves, and branches of CAVA and their MS/MS spectra were produced by the target-MS/MS model. The structures of 38 candidates were tentatively determined by the fragmentation pathways of flavonols and flavonol glycosides. In addition, 142 potential compounds were obtained by the non-target and accurate-target methods and 47 compounds were tentatively identified by their characteristic fragmentation behaviors. Finally, 209 flavonols and flavonol glycosides were screened by the non-, accurate-, and extensive-target methods and 58 components, including 19 flavones, 27 flavanones, and 12 polymethoxyflavonoids were identified and 45 of them were reported for the first time from this plant.
Compound 59 was screened by the three screening methods simultaneously and its MS/MS data was obtained by target-MS/MS. Compound 59 was identified as apigenin unambiguously by comparison of the retention time, MS, and MS/MS data with that of the standard (Table 1). It was difficult to find compound 52 (TR = 14.22 min, Figure 3) using the non-target method because of the low content or poor response and the lack of distinct peaks in the TICs. However, this compound was easily detected by the accurate- and extensive-target methods using EIC on the TIC of different parts of CAVA. In the MS/MS spectrum of compound 52 (Figure 4), the fragment ion occurring at m/z 433.1128 was observed for the loss of a Rha residue from the protonated ion at m/z 579.1715. Subsequently, the absence of the Glc moiety was found and formed the basic skeleton at m/z 271.0599, indicating the presence of the -Glc-Rha group in the structure of compound 52. The characteristic ions occurring at m/z 271.0599, 153.0153, and 129.0525 demonstrated that the basic skeleton for compound 52 was apigenin. Therefore, compound 52 was tentatively identified as apigenin-O-glucoside-O-rhamnoside (Figure 4). Using the same method, the remaining flavone-type compounds (28, 29, 30, 31, 32, 38, 45, 50, 55, 58, 62, 63, 65, 66, 67, 70, and 73) were provisionally identified (Table 1) and the relevant MS/MS spectra are provided in the Supplementary Materials (Figure S2).
Compounds 36, 39, 40, 42, 43, 44, 51, 56, and 61 were unambiguously identified as neoeriocitrin, poncirin, eriocitrin, naringin, naringenin, narirutin, neohesperidin, hesperidin, and hesperitin, respectively, by comparison of the retention time, MS, and MS/MS data with the corresponding standards (Table 1). The protonated ion of compound 57 was submerged in high abundance ions or complex biological matrices, making it difficult to detect by the non-target method (Figure 3). In addition, this secondary metabolite has not been reported in this genus previously. Therefore, not surprisingly, it was difficult to detect compound 57 by the accurate-target mean, however, the compound was detected with the extensive-target method by screening the theoretical exact mass on the TICs. The extensive-target method indicated that the basic skeleton of this compound was naringenin and the substituent group was Glc. In the MS/MS spectrum of compound 57 (Figure 4), the basic skeleton ion at m/z 273.0742 was formed by the loss of a Glc residue from the protonated ion occurring at m/z 435.1295. The fragments at m/z 153.0175 and 273.0742 indicated that the basic skeleton was naringenin. Thus, compound 57 was preliminarily identified as naringenin-O-glucoside (Figure 4). Using the same method, the remaining flavanone-type compounds (33, 34, 35, 37, 41, 46, 47, 48, 49, 53, 60, 64, 68, 69, 74, 75, and 77) were tentatively identified (Table 1) and the relevant MS/MS spectra are provided in the Supplementary Materials (Figure S2).
Compounds 85 and 87 were unambiguously identified as nobiletin and tangeretin, respectively, by comparing the retention time, MS, and MS/MS data with the references (Table 1). Compound 86 presented a distinct peak in the TIC of CAVA roots (Figure 3) and has previously been reported in this genus. Therefore, compound 86 was easily detected with the non-target and accurate-target methods. The fragmentation pathways of polymethoxyflavonoid-type compounds were investigated in detail using nobiletin (85) and tangeretin (87) as references before identifying their structures of compound 86 and other compounds. The MS behaviors of polymethoxyflavonoid-type compounds were different from other types of flavonoids. First, this type of compound only responded well in positive mode of ESI. Second, the main fragmentation route was the successive losses of small groups, such as H2O moiety and CH3 radical from the basic skeleton. In the MS/MS spectra of references 85 and 87 (Figure S1), fragment ions observed at m/z 388.1133 and 358.1032 were generated by loss of CH3 radical from the protonated ions at m/z 403.1368 and 373.1264, respectively (Figure 5a). Fragments at m/z 355.0790 and 325.0689 were formed by neutral loss of H2O moiety from the ions at m/z 373.0895 and 343.0793, respectively. The third fragmentation pattern was cleavage of the C-ring and formation of relatively low m/z fragment ions. The characteristic fragment ions at m/z 211.0220 and 211.0223 for compounds 85 and 87 were formed by RDA reaction (cleavage the C-ring, Figure 5). In the MS/MS spectrum of compound 86, the fragmentation behavior had a high similarity with polymethoxyflavonoid-type compounds. The difference in m/z values of compounds 86 and 87 was 30.0079 Da, which indicated that the structure of compound 86 has an OCH3 moiety fewer than that of compound 87. According to a previous report [27], compound 86 was preliminarily identified as 4′,5,6,7-pentamethoxyflavone by comparison with characteristic ions. Using the similar method, the remaining polymethoxyflavonoid-type compounds (26, 54, 72, 81, 82, 83, 84, 88, and 89) were tentatively identified (Table 1) and the relevant MS/MS spectra are provided in the Supplementary Materials (Figure S2).

2.3. Screening and Identification of Coumarin

In the MS/MS spectra of the three references (xanthotoxol (71), scopoletin (76), and auraptene (80) (Figure S1), it is difficult to cleave the skeleton of coumarin, therefore, the primary characteristic fragmentation pathway was the loss of small molecular groups, such as CO, CH3, and OH, from the basic skeleton. In the MS/MS spectra of compounds 71 and 76, fragment ions at m/z 175.0347, 147.0427, 103.0528, 150.0301, and 105.0332 were generated by the loss of a CO moiety from the protonated ions at m/z 203.0327, 175.0374, 131.0481, 178.0249, and 133.0276, respectively. In the MS/MS spectra of compounds 71 and 76, fragment ions at m/z 131.0481 and 133.0276 were produced by the loss of a OH radical from the protonated ions at m/z 147.0427 and 150.0301, respectively. The proposed characteristic fragmentation pathways are shown in Figure 5b.
Compounds 71, 76, and 80 were clearly identified as xanthotoxol, scopoletin, and auraptene (Table 1), respectively, by comparing the retention time, MS, and MS/MS data with those of the standards. Compound 78 presented a distinct peak in the TICs (Figure 3). In addition, this compound has been previously reported in this genus. Therefore, compound 80 could be detected easily by the non- and accurate-target methods. In the MS/MS spectrum of compound 78, the fragmentation behavior was highly consistent with coumarin-type compounds. The difference in m/z values between compounds 78 and 71 was 14.0146 Da, which indicated that compound 78 has a CH3 moiety more than compound 71. In the MS/MS spectrum of compound 78, the high abundance fragment ion at m/z 202.0250 was generated by the loss of a CH3 radical from the protonated ion at m/z 217.0483, which indicated that a CH3 moiety was included in the structure of metabolite 78. According to a previous report [28], compound 78 was preliminarily identified as bergapten (Figure 4).

2.4. Screening and Identification of Alkaloids and Triterpenoid

In the MS/MS spectrum of synephrine (15) (Figure S1), the primary fragmentation route was the loss of small molecular groups, such as CH3 and H2O, from the basic skeleton. The fragment observed at m/z 150.0917 was formed by the neutral loss of H2O from the protonated ion at m/z 168.1014. Successive loss of CH3 and CHNH moieties were observed, resulting in the ions at m/z 135.0670 and 107.0500. The proposed fragmentation pathways are shown in Figure 5c.
By comparing the retention time, MS, and MS/MS data with the standard substance, the structure of compound 15 was clearly determined (Table S1). Compound 21 presented a distinct peak in the TICs (Figure 3) and has been reported previously in this genus. Therefore, compound 21 was detected easily by the non- and accurate-target methods. In the MS/MS spectrum of compound 21, the difference in m/z value between compounds 21 and 15 was 15.9908 Da, which indicates that the structure of compound 21 results from the loss of an OH moiety in compound 15. Moreover, the MS/MS fragmentation behaviors of both compounds are highly similar. The ion observed at m/z 121.0639 was generated corresponds to the loss of -NH2CH3 from the protonated ion at m/z 152.1065. The subsequent loss of an H2O moiety and formation of a peak at m/z 103.0528 was also observed. The MS/MS data indicates that -NHCH3 and -OH groups are present in the structure of compound 21. According to the previous report [29], it was preliminarily identified as N-acetylnorsynephrine. Using the same method, the remaining alkaloids (2, 7, 10, 11, 14, 16, 17, 18, 19, 20, 24, 25, and 27) were tentatively identified (Table 1) and the relevant MS/MS spectra are provided in the Supplementary Materials (Figure S2).
Limonin compounds have been reported previously as the most common triterpenoids in CAVA [20]. Compound 79 was screened by non-target and accurate-target methods and its structure was unambiguously identified as limonin by comparing the retention time, MS and MS/MS data with the reference (Table 1).

2.5. Distribution of Metabolites in CAVA

The distribution of all identified compounds in roots, fruits, flowers, leaves, and branches of CAVA were determined using EIC, based on the TICs. More than 90% ingredients were detected and identified from the flowers and fruits, however, the number of identified metabolites from other parts were relatively small. This is the reason why the flowers and fruits were used as main medicinal parts in traditional Chinese medicine. Flavonoids, alkaloids, and coumarins were the main active ingredients of the flowers and fruits. Thirty-two characteristic compounds, such as limonin (79) and auraptene (80), were detected only from both parts. Flavonoids and flavonoid glycosides were the main metabolites of flowers, however, the polymethoxyflavonoid-type compounds (such as 78, 81, 85, and 87) were only in fruits, which demonstrated that the flowers and fruits have different functions as herbal medicine or food additives. The polymethoxyflavonoid-type compounds were detected only from the family of Citrus reticulata Blanco in previous studies and have a wide range of biological activities, such as antioxidant, anti-inflammatory, antitumor, and antifungal activity [3,30]. Those types of flavonoids were mainly distributed in the fruits and roots of CAVA. Nevertheless, the species and amounts of polymethoxyflavonoid-type compounds have a huge difference between the two parts. Some high content polymethoxyflavonoids (such as compounds 82, 83, 88, and 89, comparing the relative peak area) were detected only from the roots of CAVA. Although compounds 84 and 86 were found in fruits and roots, the level of both compounds in roots was far more than that in fruits. Interestingly, some high content polymethoxyflavonoids (such as compounds 78, 79, 81, and 85) in fruits were difficult to detection in the roots (Figure 3). The results revealed that the roots of CAVA, usually discarded in the previous disposal process, were an important source of polymethoxyflavonoid-type metabolites for the food, medicine, and nutraceutical industries.

3. Conclusions

In this study, we have shown that the combination of HPLC-Q-TOF-MS with a systematic screening method constitutes a powerful analytical tool for the detection and identification of bioactive ingredients in all parts of CAVA. A total of 295 secondary metabolites were primarily found from the flowers, fruits, roots, leaves, and branches of CAVA with a systematic screening method, which is comprised of non-, accurate-, and extensive-target approaches. Eighty-nine compounds, including 19 flavones, 27 flavanones, 12 polymethoxyflavonoids, 4 coumarins, 15 alkaloids, 1 limonoids, and 11 other phytochemicals were identified by their exact masses, fragment ions, and characteristic fragmentation patterns. Sixty-nine of the compounds are reported for the first time from CAVA. To the best of our knowledge, this work marks the first comprehensive study of secondary metabolites from different parts of CAVA. In addition, the established screening method can also be applied to other plant-derived foods and medicines for systematic detection of the bioactive compounds from the complex biological matrices.

4. Materials and Methods

4.1. Materials and Chemicals

Deionized water was used for HPLC-Q-TOF-MS and HPLC-Q-TOF-MS/MS analysis and was purified using a Milli-Q system (Merck Millipore, Billerica, MA, USA). HPLC-grade acetonitrile and formic acid were purchased from Merck (Darmstadt, Germany) and ROE (Newark, New Castle, USA), respectively. Methanol (AR) was purchased from the National Institutes for Food and Drug Control (Beijing, China). The seventeen reference substances (seven flavonol glycosides, three flavonols, two polymethoxyflavonoids, three coumarins, one alkaloid, and one limonin), including synephrine (15), neoeriocitrin (36), poncirin (39), eriocitrin (40), naringin (42), naringenin (43), narirutin (44), neohesperidin (51), hesperidin (56), apigenin (59), hesperitin (61), xanthotoxol (71), scopoletin (76), auraptene (80), limonin (79), nobiletin (85), and tangeretin (87) were purchased from Shanghai Yuanye Bio-Technology Co., Ltd. (Shanghai, China).

4.2. Sample Collection and Preparation

The flowers, fruits, roots, branches, and leaves of CAVA were collected from LianYuan KangLu biotechnology company (Hunan, China, GPS coordinates are E 111° 51′ 23.95′ and N 27° 49′ 33.52′) and were authenticated by Prof Jianguo Zeng (Hunan Agricultural University, China). All plant parts of CAVA were freeze-dried and a portion of each was crushed using a disintegrator. Powdered samples (~0.1 g) were extracted with methanol aqueous solution (10 mL, 80% v/v) using an ultrasonic bath for 45 min. Samples were filtered through a 0.22 μm nylon membrane before injection onto the HPLC-Q-TOF-MS system.

4.3. HPLC-Q-TOF-MS Conditions

Agilent 1290 HPLC system (Agilent Technology, Santa Clara, California, USA) was used for the chromatography, consisting of a rapid resolution binary pump, auto-sampler, thermostated column compartment, vacuum degasser, and tunable UV detector. Separation was carried out on a Unitary-C18 column (150 mm × 2.1 mm, 2.8 μm, Accrom Co., Ltd., Dilian, China). The elution system was 0.1% aqueous formic acid solution (A) and acetonitrile (B), while linear gradient elution optimization was performed as follows: 0 to 10 min, 5% to 20% (B); 10 to 30 min, 20% to 50% (B); and 30 to 40 min, 50% to 90% (B). The flow rate was set at 0.3 mL/min, the column temperature was kept at 35 ℃, and the sample injection volume was 5 μL.
MS spectrometry experiment was performed using a 6530 Q-TOF/MS accurate-mass spectrometer (Agilent Technology) in positive electrospray ionization mode. Time-of-flight data were collected between m/z 100 to 1700 in centroid mode. The conditions for Q-TOF-MS optimization were as follows: Gas temperature, 345 ℃; fragmentor voltage, 150 V; sheath gas flow rate, 11 L/min; sheath gas temperature, 350 ℃; nebulizer gas pressure, 50 psi; sheath gas flow, 11 L/min; capillary voltage, 4000 V; OCT1 RF Vpp, 750 V; and skimmer voltage, 65 V. The TOF MS spectrometer was continuously calibrated, and m/z 121.050873 and 922.009798 were used as reference solution masses to obtain high-precision mass measurement results. The targeted MS/MS experiments were conducted with variable collision energy (10 to 105 eV) to optimize each compound.

Supplementary Materials

The Supplementary Materials are available online.

Author Contributions

Investigation, L.Y., M.C., J.L., X.H., and W.H.; project administration, Z.Q. and J.Z.; supervision, Z.Q. and J.Z.; writing—original draft, L.Y. and M.C.; writing—review and editing, Z.Q. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the National Key Research and the Development Program of China (2016YFD0501308).

Acknowledgments

We thank Yecheng Xiao (LianYuan KangLu biotechnology company, Hunan, China) for providing the samples.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Xiao, P.G. New Chinese Medicine Record; Chemical Industry Press: Beijing, China, 2002; pp. 352–454. [Google Scholar]
  2. Xue, L.Y.; Gao, L.; Qin, X.M.; Du, G.H.; Zhou, Y.Z. A review of recent literature on anti-aging activity of medicinal and edible traditional Chinese herbs. Food Sci. 2017, 38, 302–309. [Google Scholar] [CrossRef]
  3. Zhao, H.-Y.; Yang, L.; Wei, J.; Huang, M.; Jiang, J.-G. Bioactivity evaluations of ingredients extracted from the flowers of Citrus aurantium L. var. amara Engl. Food Chem. 2012, 135, 2175–2181. [Google Scholar] [CrossRef] [PubMed]
  4. Lu, Q.; Yang, L.; Zhao, H.-Y.; Jiang, J.-G.; Xu, X.-L. Protective effect of compounds from the flowers of Citrus aurantium L. var. amara Engl against carbon tetrachloride-induced hepatocyte injury. Food Chem. Toxicol. 2013, 62, 432–435. [Google Scholar] [CrossRef] [PubMed]
  5. Zeng, L.-J.; Chen, D.; Huang, Q.-D.; Huang, Q.; Lian, Y.-F.; Cai, W.-W.; Zeng, H.-P.; Lin, Y.-L. Isolation of a new flavanone from Daidai fruit and hypolipidemic activity of total flavonoids extracts. Nat. Prod. Res. 2015, 29, 1521–1528. [Google Scholar] [CrossRef]
  6. Shen, C.-Y.; Wang, T.-X.; Zhang, X.-M.; Jiang, J.-G. Various Antioxidant Effects Were Attributed to Different Components in the Dried Blossoms of Citrus aurantium L. var. amara Engl. J. Agric. Food Chem. 2017, 65, 6087–6092. [Google Scholar] [CrossRef] [Green Version]
  7. Karimi, E.; Oskoueian, E.; Hendra, R.; Oskoueian, A.; Jaafar, H.Z.E. Phenolic Compounds Characterization and Biological Activities of Citrus aurantium Bloom. Molecules 2012, 17, 1203–1218. [Google Scholar] [CrossRef] [Green Version]
  8. Shen, C.Y.; Jiang, J.G.; Zhu, W.; Ou-Yang, Q. Anti-inflammatory effect of essential oil from Citrus aurantium L. var. amara Engl. J. Agric. Food Chem. 2017, 65, 8586–8594. [Google Scholar] [CrossRef]
  9. Siddique, S. Volatile components and antimicrobial activity of Citrus sinensis var. mosammi leaves oil. J. Med. Plants Res. 2012, 6, 2184–2187. [Google Scholar] [CrossRef]
  10. Liu, L.; Shan, S.; Zhang, K.; Ning, Z.Q.; Lu, X.P.; Cheng, Y.Y. Naringenin and hesperetin, two flavonoids derived from Citrus aurantium up-regulate transcription of adiponectin. Phytother. Res. 2010, 22, 1400–1403. [Google Scholar] [CrossRef]
  11. Akhlaghi, M.; Shabanian, G.; Rafieian-Kopaei, M.; Parvin, N.; Saadat, M.; Akhlaghi, M. Citrus aurantium Blossom and Preoperative Anxiety. Braz. J. Anesthesiol. 2011, 61, 702–712. [Google Scholar] [CrossRef] [Green Version]
  12. Rahnama, S.; Rabiei, Z.; Alibabaei, Z.; Mokhtari, S.; Rafieian-Kopaei, M.; Deris, F. Anti-amnesic activity of Citrus aurantium flowers extract against scopolamine-induced memory impairments in rats. Neurol. Sci. 2014, 36, 553–560. [Google Scholar] [CrossRef] [PubMed]
  13. Gattuso, G.; Barreca, D.; Gargiulli, C.; Leuzzi, U.; Caristi, C. Flavonoid Composition of Citrus Juices. Mol. 2007, 12, 1641–1673. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Yang, L.; Cao, Y.L.; Jiang, J.G.; Lin, Q.S.; Chen, J.; Zhu, L. Response surface optimization of ultrasound-assisted flavonoids extraction from the flower of Citrus aurantium L. var. amara Engl. J. Sep. Sci. 2015, 33, 1349–1355. [Google Scholar] [CrossRef]
  15. Tripoli, E.; La Guardia, M.; Giammanco, S.; Di Majo, D.; Giammanco, M. Citrus flavonoids: Molecular structure, biological activity and nutritional properties: A review. Food Chem. 2007, 104, 466–479. [Google Scholar] [CrossRef]
  16. Zhang, X.X.; Li, Z.Y.; Ma, Y.L.; Ma, S.C. Progress in research of traditional Chinese medicine Citrus aurantium. China J. Chin. Mater. Med. 2015, 40, 185–190. [Google Scholar] [CrossRef]
  17. Percy, D.W.; Adcock, J.L.; Conlan, X.A.; Barnett, N.W.; Gange, M.E.; Noonan, L.K.; Henderson, L.C.; Francis, P.S. Determination of Citrus aurantium protoalkaloids using HPLC with acidic potassium permanganate chemiluminescence detection. Talanta 2010, 80, 2191–2195. [Google Scholar] [CrossRef]
  18. Jiang, M.-H.; Yang, L.; Zhu, L.; Piao, J.-H.; Jiang, J.-G. Comparative GC/MS Analysis of Essential Oils Extracted by 3 Methods from the Bud of Citrus aurantium L. var. amara Engl. J. Food Sci. 2011, 76, C1219–C1225. [Google Scholar] [CrossRef]
  19. Liu, W.-Y.; Zhou, C.; Yan, C.-M.; Xie, S.-L.; Feng, F.; Wu, C.-Y.; Xie, N. Characterization and simultaneous quantification of multiple constituents in Aurantii Fructus Immaturus extracts by HPLC-DAD-ESI-MS/MS. Chin. J. Nat. Med. 2012, 10, 456–463. [Google Scholar] [CrossRef]
  20. Wang, T.X. Study on Isolation and Identification of Active Ingredients from Citrus aurantium L. var. amara Engl and Their Bioactivities. Master’s Thesis, South China University of Technology, Guangzhou, China, 2018. [Google Scholar]
  21. Mencherini, T.; Campone, L.; Piccinelli, A.L.; García Mesa, M.; Sánchez, D.M.; Aquino, R.P.; Rastrelli, L. HPLC-PDA-MS and NMR Characterization of a Hydroalcoholic Extract of Citrus aurantium L. var. amara, Peel with Antiedematogenic Activity. J. Agric. Food Chem. 2013, 61, 1686–1693. [Google Scholar] [CrossRef]
  22. Gatti, R.; Lotti, C.; Morigi, R.; Andreani, A. Determination of octopamine and tyramine traces in dietary supplements and phytoextracts by high performance liquid chromatography after derivatization with 2,5-dimethyl-1H-pyrrole-3,4-dicarbaldehyde. J. Chromatogr. A 2012, 1220, 92–100. [Google Scholar] [CrossRef]
  23. Qing, Z.-X.; Xu, Y.-Q.; Yang, P.; Yu, K.; Cheng, P.; Zeng, J.-G. Mass spectrometry-guided isolation of two new benzoquinoline alkaloids from Macleaya cordata. Nat. Prod. Res. 2016, 30, 1030–1035. [Google Scholar] [CrossRef] [PubMed]
  24. Qing, Z.-X.; Liu, X.-B.; Cheng, P.; Wu, H.-M.; Zeng, J.-G. An improved separation method for classification of Macleaya cordata from different geographical origins. Anal. Methods 2015, 7, 1866–1871. [Google Scholar] [CrossRef]
  25. Qing, Z.-X.; Zhao, H.; Tang, Q.; Mo, C.-M.; Huang, P.; Cheng, P.; Yang, P.; Yang, X.-Y.; Liu, X.-B.; Zheng, Y.-J.; et al. Systematic identification of flavonols, flavonol glycosides, triterpene and siraitic acid glycosides from Siraitia grosvenorii using high-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry combined with a screening strategy. J. Pharm. Biomed. Anal. 2017, 138, 240–248. [Google Scholar] [CrossRef] [PubMed]
  26. Tsimogiannis, D.; Samiotaki, M.; Panayotou, G.; Oreopoulou, V. Characterization of Flavonoid Subgroups and Hydroxy Substitution by HPLC-MS/MS. Molecules 2007, 12, 593–606. [Google Scholar] [CrossRef] [PubMed]
  27. Wang, Y.; Li, X.B.; Li, J.J.; Xiong, H.Y.; Peng, C.S. Fragmentation Pathway Comparison of 5,6,7,4′-Tetrahydroxy-Flavone and 5,6,7,4′-Tetramethoxy-Flavone by High Resolution Electrospray Ionization Tandem Mass Spectroscopy. J. Chin. Mass Spectrom. Soc. 2016, 37, 385–392. [Google Scholar] [CrossRef]
  28. Zhang, C.; Xiao, Y.Q.; Taniguchi, M.; Baba, K. Studies on chemical constituents in roots of Peucedanum praeruptorum. China J. Chin. Mater. Med. 2009, 37, 1333–1335. [Google Scholar]
  29. Wan, J.-B.; Bai, X.; Cai, X.-J.; Rao, Y.; Wang, Y.-S.; Wang, Y.-T. Chemical differentiation of Da-Cheng-Qi-Tang, a Chinese medicine formula, prepared by traditional and modern decoction methods using UPLC/Q-TOFMS-based metabolomics approach. J. Pharm. Biomed. Anal. 2013, 83, 34–42. [Google Scholar] [CrossRef]
  30. Wu, T.; Cheng, D.; He, M.; Pan, S.; Yao, X.; Xu, X. Antifungal action and inhibitory mechanism of polymethoxylated flavones from Citrus reticulata Blanco peel against Aspergillus niger. Food Control 2014, 35, 354–359. [Google Scholar] [CrossRef]
Sample Availability: Samples of the compounds are available from the authors.
Figure 1. The diagram for systematic screening the secondary metabolites by high performance liquid chromatography/quadrupole time-of-flight mass spectrometry (HPLC-Q-TOF-MS) combined with a screening method. A, B, C, and D represent the number of glucose (Glc), rhamnose (Rha), arabinose (Ara), and glucuronic acid (Glc A), respectively and the number of sugars is no more than 3 according to previous studies.
Figure 1. The diagram for systematic screening the secondary metabolites by high performance liquid chromatography/quadrupole time-of-flight mass spectrometry (HPLC-Q-TOF-MS) combined with a screening method. A, B, C, and D represent the number of glucose (Glc), rhamnose (Rha), arabinose (Ara), and glucuronic acid (Glc A), respectively and the number of sugars is no more than 3 according to previous studies.
Molecules 25 00357 g001
Figure 2. The proposed fragmentation pathways of 10 flavonol and flavonol glycoside references.
Figure 2. The proposed fragmentation pathways of 10 flavonol and flavonol glycoside references.
Molecules 25 00357 g002
Figure 3. The total ion chromatogram (TIC) of root (a), fruit (b), flower (c), leaves (d), and branch (e) of Citrus aurantium L. var. amara (CAVA).
Figure 3. The total ion chromatogram (TIC) of root (a), fruit (b), flower (c), leaves (d), and branch (e) of Citrus aurantium L. var. amara (CAVA).
Molecules 25 00357 g003
Figure 4. The tandem mass spectrometry (MS/MS) spectra and fragmentation behaviors of compounds 52, 57, and 78.
Figure 4. The tandem mass spectrometry (MS/MS) spectra and fragmentation behaviors of compounds 52, 57, and 78.
Molecules 25 00357 g004
Figure 5. The proposed fragmentation pathways of six references. (a) Polymethoxyflavonoids; (b) Coumarins; (c) Synephrine.
Figure 5. The proposed fragmentation pathways of six references. (a) Polymethoxyflavonoids; (b) Coumarins; (c) Synephrine.
Molecules 25 00357 g005
Table 1. The peak number (PN), retention time (TR), MS1, molecular formula, characteristic fragment ions, identification, screening method, and metabolic distribution of the screened and identified target compounds.
Table 1. The peak number (PN), retention time (TR), MS1, molecular formula, characteristic fragment ions, identification, screening method, and metabolic distribution of the screened and identified target compounds.
PNTR (min)MS1 b (ppm)FormulaCharacteristic MS/MS Ions (m/z)IdentificationScreening MethodPlant Part
1 b0.67163.1116 (0.8)C11H14O117.0720, 89.0605, 57.0691Citrus HXFlower, root, fruit, leaf, branch
2 b1.08130.0862 (0.4)C6H11NO284.0784, 70.0643Pipecolic acidX, YFlower, root, fruit, leaf, branch
3 b1.21133.0600 (5.8)C4H8N2O3116.0335, 87.0543, 74.0230AsparagineYFlower, root, fruit, leaf, branch
4 b1.23277.1270 (4.2)C12H20O7259.0916, 211.0695, 133.0596Citrus IXFlower, root, fruit, leaf, branch
5 b1.24147.0764 (0.1)C5H10N2O3130.0494, 101.0701, 84.0436GlutamineYFlower, fruit, leaf, branch
6 b1.26106.0500 (−1.2)C3H7NO388.0389, 70.0286, 60.0437Citrus JXFlower, fruit, leaf, branch
7 b1.29156.0397 (4.3)C5H5N3O3110.0712, 83.0606Citrus AXFlower, root, fruit, leaf, branch
8 b1.32175.1193 (−2.0)C6H15N4O2158.0929, 130.0962, 116.0698, 70.0643, 60.0548ArginineYFlower, fruit, leaf
9 b1.38247.1933 (−6.4)C14H22N4144.0948, 58.0704Citrus KXFlower, fruit, leaf
10 b1.46248.1993 (6.4)C16H25NO202.0961, 104.1008Citrus BXFlower, root, fruit, leaf, branch
11 b1.52314.1586 (3.8)C15H23NO6152.1000, 121.0561, 91.0456N-acetylnorsynephrine-rhamnosideXFlower, root, fruit, leaf, branch
12 b1.53104.1067 (2.8)C5H13NO60.0807, 58.0649Citrus MXFlower, fruit, leaf
13 b1.58116.0711 (−4.3)C5H10NO286.0162, 70.0649Citrus NXFlower, fruit, leaf
14 b1.93170.1214 (−9.2)C9H16NO2152.0893, 124.0686, 97.0715, 91.0471Dihydro-synephrineXFlower, fruit
15 a2.11168.0973 (8.4)C9H14NO2150.0874, 135.0633, 119.0453, 91.0507SynephrineX, YFlower, fruit
16 b2.56300.1432 (3.2)C14H22NO6282.1317, 138.0897, 121.0647Citrus CXFlower, fruit, leaf, branch
17 b2.60268.1039 (0.5)C10H14N5O4136.0605, 119.0328AdenosineX, YFlower, fruit, leaf, branch
18 b2.61284.0973 (5.8)C10H14N5O5267.1405, 152.0561, 135.0262HydroxyadenosineXFlower, fruit, leaf, branch
19 b3.34222.1120 (2.1)C12H15NO3205.1423, 87.0435Citrus DXFlower, fruit
20 b3.35240.1032 (−5.4)C15H13NO2222.1059, 208.0996, 195.0853, 149.0818, 121.0559, 105.0280Citrus EXFlower, fruit
213.37152.1065(3.2)C9H13NO121.1639, 103.0538, 77.0378N-acetylnorsynephrineX, YFlower, fruit
22 b3.38367.1830 (−6.8)C25H22N2O322.1387, 229.1012, 58.0654Citrus LXFlower, fruit
23 b3.41163.0384 (3.5)C9H6O389.0585, 57.0698Citrus OXFlower, fruit
24 b3.76120.0808(−0.2)C8H9N103.0533, 91.0532, 77.0381Citrus FXFlower, fruit
25 b3.78166.0856(3.9)C9H12NO2131.0488, 120.0799, 103.0535PhenylalanineX, YFlower, fruit
26 b7.55463.1550 (8.2)C23H26O10313.0728, 185.0925, 153.01743′,4′,5′-trimethoxyflavone-O-arabinosideXFruit
27 b7.59180.1013 (3.3)C10H13NO2163.1293, 107.0683, 89.0588Citrus GXFlower, fruit
289.18595.1657 (0.1)C27H30O15449.1104, 287.0537, 147.0639Luteolin-O-glucoside-O-rhamnosideY, ZFlower, fruit
29 b10.86627.1564(−1.3)C27H30O17465.0947, 303.0482, 145.05163′,4′,5′,5-hydroxy-flavone-O-glucoside-O-glucosideXFlower, fruit
30 b11.17447.1252 (7.5)C22H22O10285.0702, 121.0957Acacetin-O-glucosideZFlower, fruit
31 b11.74449.1104 (−5.7)C21H20O11287.0521, 147.0512, 129.0525Luteolin-O-glucosideX, Y, ZFlower, fruit
32 b11.75611.1636 (−4.8)C27H30O16449.1117, 287.0532Luteolin-O-glucoside-O-glucosideY, ZFlower, fruit
33 b11.79451.1244 (−2.0)C21H22O11289.0704, 153.0186, 107.0429Eriodictyol-O-glucosideY, ZLeaf, branch
34 a11.88289.0700 (2.3)C15H12O6163.0365, 153.0167, 145.0281EriodictyolX, Y, ZLeaf, branch
35 b12.25595.2077 (−8.4)C28H34O14449.1455, 303.0851, 153.0231Hesperitin-O-rhamnoside-O-rhamnosideZFlower, fruit
36 a12.30597.1835 (−3.5)C27H32O15451.1220, 289.0698, 153.0161, 147.0624, 129.0518NeoeriocitrinX, Y, ZFlower, fruit
37 b12.31597.1861 (−9.8)C27H32O15449.1391, 287.06064′-hydroxyl-flavanone-O-glucoside -O-rhamnosideXFlower, fruit
38 b13.11463.1244 (−1.9)C22H22O11377.9540, 301.0700, 121.1001Luteolin-O-glucosideX, Y, ZFlower, fruit, leaf, branch
39 ab13.20595.2018 (0.5)C28H34O14449.1436, 287.0897, 129.0540PoncirinX, YFlower, fruit, root
40 a13.27597.1818(1.2)C27H32O15331.07, 9289.0709, 147.0259EriocitrinY, ZFlower, fruit, root
41 b13.29419.1186 (−0.4)C17H22O12273.0757, 153.0152, 129.0556Naringenin-O-rhamnosideX, Y, ZFlower, fruit, root
42 a13.39581.1818 (8.0)C27H32O14435.1291, 273.0727, 153.0179, 147.0641, 129.0526NaringinY, ZFlower, fruit, root
43 a13.49273.0808 (3.0)C8H16O10153.0187, 147.0390, 119.0456NaringeninX, Y, ZFlower, fruit
44 ab13.67581.1841 (4.1)C27H32O14419.1302, 273.0723, 147.0623, 129.0532NarirutinX, Y, ZFlower, fruit
4513.69609.1805 (1.4)C28H32O13463.1229, 301.0701, 129.0644, 85.0277Diosmetin-O-glucoside-O-rhamnosideX, Y, ZFlower, fruit, leaf, branch
46 b13.76419.1391(−11.6)C21H22O9383.1107,285.0716,129.05344′-Methoxy-flavanone-O-arabinoseX, YFlower, fruit
47 b13.82727.2451 (−0.9)C33H42O18527.1484, 419.1294, 315.0925129.05384′,5′-Methoxy-flavanone-O-rhamnoside-O-arabinose-O-arabinose XFlower, fruit
48 b13.98565.1954 (−6.7)C16H12O5419.1351, 285.0881, 147.05034′-Methoxy-flavanone-O-rhamnoside-O-arabinosideXFlower, fruit
49 b14.15449.1458 (−3.5)C22H24O10413.1228, 303.0833Hesperitin-O-rhamnosideY, ZFlower, fruit, Root, leaf, branch
50 b14.17593.1495 (1.0)C28H32O14447.1265, 285.0711Acacetin-O-glucuronic acid-O-arabinosideZFlower, fruit, Leaf, branch
51 a14.19611.1937 (5.4)C28H34O15449.1412, 303.0835, 129.0524NeohesperidinX, Y, ZFlower, fruit, Leaf, branch
52 b14.22579.1715 (−1.5)C27H30O14271.0599, 153.0153, 129.0525Apigenin-O-glucoside-O-rhamnosideY,ZFlower, fruit, Root, leaf, branch
53 b14.23449.1441 (0.2)C22H24O10303.0855, 153.0199,129.0541Hesperitin-O-rhamnosideX, ZFlower, fruit, Root, leaf, branch
54 b14.44345.0951 (5.1)C18H16O7303.0801, 195.0277, 153.02013′,4′,5′-trimethoxyflavoneYLeaf, branch
55 b14.57593.1861 (6.5)C28H32O14447.1259, 315.0863, 153.0152Cirsimaritin-O-arabinoseZFlower, fruit, branch
56 a14.58611.1961 (1.5)C28H34O15449.1416, 303.0826, 129.0536HesperidinX, Y, ZFlower, fruit, root, leaf, branch
57 b14.61435.1295 (−2.1)C21H22O10273.0742, 153.0175Naringenin-O-glucosideZFlower, fruit, root
58 b14.65757.2226 (−5.3)C39H50O25611.1763, 287.0477, 129.0537Luteolin-O-glucoside-O-rhamnoside-O-glucosideX, ZFlower, fruit, branch
59 ab14.68271.0581 (6.7)C15H10O5243.0623, 153.0167, 119.0479ApigeninX, Y, ZFlower, fruit, branch
60 b14.70757.2214 (−3.7)C33H40O20449.1448, 303.0853, 129.0528Hesperitin-O-glucuronic acid-O-arabinoside-O-rhamnosideZFlower, fruit, Root, leaf, branch
61 a14.71303.0850 (4.3)C16H14O4177.0538, 153.0365, 145.0269HesperitinX, Y, ZFlower, fruit, root
62 b14.86739.2450 (−0.8)C34H42O18575.1642, 413.1240, 315.0863Cirsimaritin-O-arabinoside-O-rhamnoside-O-rhamnosideZFlower, fruit, branch
63 b15.17653.1725 (−1.9)C29H32O17347.0759, 129.05223′,3,5-hydroxy-4′,5′-Methoxy-flavone-O-glucoside-O-rhamnosideXFlower, fruit
64 b15.23435.1251 (8.0)C20H18O11273.0730, 153.0193, 147.0478Naringenin-O-glucoside X, ZFlower, fruit
65 b15.23609.1797 (2.7)C28H32O15301.0690, 463.1244, 153.0151Diosmetin-O-glucoside-O-rhamnosideX, Y, ZFlower, fruit
66 b15.96579.1723 (−2.5)C22H22O10433.1139, 271.0590, 129.0534Apigenin-O-glucoside-O-rhamnosideZFruit
6716.12463.1213 (4.7)C22H22O11445.0233, 301.0707Diosmetin-O-glucosideX, Y, ZFlower, fruit, Root, leaf, branch
6816.16465.1389 (0.5)C22H24O11345.1045, 303.0839, 153.0100Hesperitin-O-glucosideY, ZFlower, fruit
69 b16.36667.2219 (2.0)C31H38O16521.1088, 273.0693Naringenin-O-arabinoside-O-rhamnoside-O-arabinosideZLeaf, root branch
70 b16.52725.2224 (9.1)C33H40O18461.1186, 315.0884, 129.0551Cirsimaritin-O-rhamnoside-O-arabinoside-O-arabinosideX, ZFlower, fruit, Root, leaf, branch
71 a16.83203.0337 (0.9)C11H6O4175.0382, 147.0439, 119.0479XanthotoxolX, YFlower, root, Fruit, leaf, branch
72 b16.86491.1511 (7.5)C24H26O11345.0871, 153.01433′,4′,5′-trimethoxyflavone-O-rhamnosideXRoot, branch
73 b17.12755.2379 (1.8)C34H42O19597.1865, 271.0806, 127.0386Apigenin-O-glucuronic acid-O-arabinoside-O-rhamnosideZFlower, fruit, root, leaf, branch
74 b17.37465.1427 (−6.5)C22H24O11303.0861, 153.0165Hesperitin-O-glucosideY, ZFlower, fruit, Root, leaf, branch
75 b17.88579.1971 (8.3)C28H34O10301.1401, 245.0759, 153.01584′-Methoxy-flavanone-O-rhamnoside-O-arabinosideX, YFlower, fruit, Root, leaf, branch
76 a18.24193.0476 (7.8)C10H8O4178.0247, 150.0302, 133.0275ScopoletinX, YFlower, root, fruit, leaf, branch
77 b18.72755.2382 (1.4)C34H42O19609.1823, 303.0831, 153.0207Hesperitin-O-glucosideacid-O-rhamnoside-O-rhamnosideZFlower, fruit
78 b25.46217.0483 (5.7)C12H9O4202.0250, 174.0299, 161.0581146.0345, 131.0486, 115.0532BergaptenX, YFlower, fruit
79 a25.83471.2025 (−2.4)C26H31O8425.1931, 161.0614LimoninX, YFlower, fruit
80 a26.55299.1620 (7.2)C19H22O3163.0375, 137.1314AurapteneX, YFlower, fruit
81 b29.95343.1168 (2.3)C19H18O6302.1577, 296.87573′,4′,6,7-tetramethoxyflavoneYFruit
82 b31.21389.1226 (1.2)C20H20O8374.1078, 369.0821, 107.9603Hydroxy-4′,5′,6,7,8-pentamethoxyflavoneXRoot
83 b31.57375.1050 (6.5)C19H18O8303.16855,7-hydroxy-3′,4′,5′,6-tetramethoxyflavoneXRoot
84 b32.60373.1280 (0.4)C20H20O7358.0954, 343.08454′,5,6,7,8-pentamethoxy-flavoneX, YFlower, fruit, root
85 a32.77403.1389 (−0.3)C21H22O8388.1152, 373.0920, 355.070702, 327.0810,301.0723NobiletinX, YFlower, fruit, leaf, branch
86 b35.26343.1176 (0.0)C19H18O6328.0955, 313.0692, 285.07044′,5,6,7-tetramethoxyflavoneX, YFlower, fruit, root
87 a35.48373.1255 (6.7)C20H20O7358.1044, 343.0802, 328.07013250701TangeretinX, YFlower, fruit, Leaf, branch
88 b38.87373.1288 (−1.6)C20H20O358.1046, 343.0811, 325.06644′,5′,6,7,8-pentamethoxy-flavoneXRoot
89 b39.41389.1222 (2.3)C20H20O8371.2897, 374.1026, 359.0627, 356.08585-hydroxy-3′,4′,6,7,8-pentamethoxyflavoneXRoot
a, those compounds were unambiguously identified by comparing the retention time, MS, and characteristic MS/MS ions with standards. b, those compounds were reported for the first time in CAVA. X, those compounds were screened by the non-target method. Y, those compounds were screened by the accurate-target method. Z, those compounds were screened by the extensive-target method.

Share and Cite

MDPI and ACS Style

Yu, L.; Chen, M.; Liu, J.; Huang, X.; He, W.; Qing, Z.; Zeng, J. Systematic Detection and Identification of Bioactive Ingredients from Citrus aurantium L. var. amara Using HPLC-Q-TOF-MS Combined with a Screening Method. Molecules 2020, 25, 357. https://doi.org/10.3390/molecules25020357

AMA Style

Yu L, Chen M, Liu J, Huang X, He W, Qing Z, Zeng J. Systematic Detection and Identification of Bioactive Ingredients from Citrus aurantium L. var. amara Using HPLC-Q-TOF-MS Combined with a Screening Method. Molecules. 2020; 25(2):357. https://doi.org/10.3390/molecules25020357

Chicago/Turabian Style

Yu, Liuyi, Miaofen Chen, Jinghong Liu, Xiuqiong Huang, Wei He, Zhixing Qing, and Jianguo Zeng. 2020. "Systematic Detection and Identification of Bioactive Ingredients from Citrus aurantium L. var. amara Using HPLC-Q-TOF-MS Combined with a Screening Method" Molecules 25, no. 2: 357. https://doi.org/10.3390/molecules25020357

Article Metrics

Back to TopTop