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Article

Characterization of Polyphenols and Volatile Compounds from Understudied Algerian Pallenis spinosa by HS-SPME-GC-MS, NMR and HPLC-MSn Approaches

1
Natural and Life Sciences Department, Faculty of Sciences, University of M’sila, BP 166, Msila 28000, Algeria
2
Department of Agronomic Sciences, Faculty of Sciences, University of Skikda, BP 26 Road of El Hadaiek, Skikda 21000, Algeria
3
Laboratory of Ethnobotany and Natural Substances, Department of Natural Sciences, Ecole Normale Superieure (ENS), BP 92 Kouba, Algiers 16308, Algeria
4
Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Via Marzolo 5, 35100 Padova, Italy
5
Department of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy
6
School of Pharmacy, University of Camerino, Via S. Agostino 1, 62032 Camerino, Italy
7
Department of Molecular and Translational Medicine (DMMT), University of Brescia, Viale Europa 11, 25123 Brescia, Italy
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2023, 13(18), 10113; https://doi.org/10.3390/app131810113
Submission received: 18 August 2023 / Revised: 27 August 2023 / Accepted: 5 September 2023 / Published: 8 September 2023

Abstract

:
Pallenis spinosa (L.) Cass. is a widespread plant in the Mediterranean region. Traditionally, it is used as a medicinal species to treat several ailments, from inflammation to skin injuries. Although the phytochemical content of this plant has already been investigated, there is currently limited data on Algerian P. spinosa. In this work, we focused on volatile compounds and non-volatile secondary metabolites extracted using HS-SPME and methanol from the aerial parts of P. spinosa collected from Northeast Algeria. Volatile constituents were analyzed by GC-MS, while non-volatile compounds were analyzed by NMR and HPLC-MSn. In total, 48 volatile compounds were identified, including sesquiterpene hydrocarbons (65.8%), monoterpene hydrocarbons (16.9%), and oxygenated monoterpenes and sesquiterpenes (8.3% and 6.5%, respectively). β-Chamigrene (16.2%), α-selinene (12.8%), β-pinene (10.6%), and β-caryophyllene (9.2%) were assessed as the main constituents. Concerning non-volatile metabolites, 23 polyphenols were identified (7.26 mg/g DW), and phenolic acids were predominant (5.83 mg/g DW). Tricaffeoylhexaric acid (1.76 mg/g DW), tetracaffeoylhexaric acid (1.41 mg/g DW), 3,5-dicaffeoylquinic acid (1.04 mg/g DW), caffeoyl dihexoside (0.35 mg/g DW), and chlorogenic acid (0.29 mg/g DW) were the most abundant ones. Several known flavonoids, such as tricin and patuletin glycosides, kaempferol, and apigenin, were also identified, and myricetin hexoside was detected in P. spinosa for the first time. Overall, our work is the first to report an exhaustive characterization of volatile and non-volatile secondary metabolites from Algerian P. spinosa. The results represent a step forward in revealing the chemistry of this widespread plant species. Furthermore, they may contribute to rationalizing its traditional medicinal applications and preserve the biodiversity of Algerian flora.

1. Introduction

The family of Asteraceae contains between 25,000 and 30,000 species belonging to over 1000 genera. Pallenis spinosa (L.) Cass., commonly known as the spiny starwort, is a member of this family, belonging to the tribe of Inuleae, a subtribe of Inulineae, and a group of Inula [1]. The genus Pallenis is monotypic and is widespread in southern Europe, northern Africa, the Canary Islands, the Middle East, and the Mediterranean region, especially in the desert and in the coastal habitats [2]. It is an annual herbaceous plant characterized by large yellow/orange flowers surrounded by long spiny involucre bracts [3]. Traditionally, the flowers and the spiny leaves of the plant have been used as medicine to treat inflammation, gastralgia, mouth infections, skin injuries, and inflammatory contusions [4,5]. Usually, the flowers and the leaves are taken orally or applied topically in the form of infusion or decoction [6].
In the western part of Algeria, P. spinosa is used for the management of skin conditions such as eczema. Furthermore, its flowers hold significant medicinal value in addressing sensitivity issues, as well as aiding in the healing of bruises and wounds. Across the Mediterranean basin, the plant is used in its entirety as an insecticide [7,8].
Some studies have investigated the secondary metabolic products of P. spinosa in order to improve traditional knowledge and find novel medicinal applications. Regarding volatile constituents, the plant is rich in sesquiterpenes and oxygenated sesquiterpenoids, including a ketone with a previously unreported carbon skeleton (dihydroxypallenone) [9,10]. Other compounds such as α-cadinol, shiromool, germacrene D derivatives [11], and germacrene A-type epoxides [12] have been reported. Concerning non-volatile secondary metabolites, P. spinosa tends to accumulate 5-O-glycosyl flavones. Among these, several tricin and patuletin derivatives have been detected in their aerial parts [13].
Natural products have provided many drugs and drug leads and still remain the richest sources of bioactive compounds. In this work, we aimed at moving a step forward in the characterization of secondary metabolites from P. spinosa. Specifically, we investigated volatile compounds and secondary metabolites extracted from the aerial parts of P. spinosa from Northeastern Algeria (Bourj Ghedir). Although the phytochemical content of this plant has already been studied, limited data exists on the species growing in Algeria. Headspace solid-phase micro-extraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS), nuclear magnetic resonance (NMR), and high-performance liquid chromatography-mass spectrometry (HPLC-MSn) were used for the analyses, respectively. Overall, the results are intended to contribute to the valorization of understudied Algerian medicinal and edible plants and the rationalization of their traditional uses.

2. Materials and Methods

2.1. Chemicals and Reagents

HPLC-grade methanol and acetonitrile, n-hexane, dichloromethane, ethyl acetate, butanol, and formic acid were purchased from Sigma-Aldrich (Milan, Italy). Ultrapure water was used, and it was obtained using a Milli-Q® dispenser (Merck, Darmstadt, Germany). Rutin and chlorogenic acid reference standards were purchased from Sigma-Aldrich (Milan, Italy). Individual standard solutions of rutin and chlorogenic acid were prepared at 1 mg/mL in methanol and were stored at −20 °C until use. Sequential dilutions of the stock solutions were prepared in methanol, and the obtained samples were used to build calibration curves, as described in the following paragraphs.

2.2. Plant Material

Aerial parts of P. spinosa were harvested at the full flowering period during the month of May 2020 from the Bordj Ghedir Region, Province of Bordj Bou Arreridj, North-East Algeria, at an altitude of 820 m a.s.l. Botanical identification of the plant was carried out based on morphological features with the help of authentic flora [5], and a voucher specimen was deposited in the Herbarium of M’sila University (MUNIV001220). Before extraction, plant material was washed with tap water to remove dust and dried in the shade in a well-ventilated place for 7 days. A part of the material was used fresh for the extraction of volatiles.

2.3. HS-SPME-GC-MS Analysis of Volatile Compounds

For HS-SPME, the method described by Ascrizzi et al. [14] was applied. Briefly, the fresh plant material (2 g) was placed in a 4 mL glass vial, which was sealed and left to equilibrate at room temperature for 1 h. Afterwards, the headspace was sampled with a Supelco SPME fiber coated with polydimethylsiloxane (PDMS, 100 µm) for 30 min. GC-MS analysis of the headspace extract was performed as described by Bendif et al. [15], using a Varian CP-3800 gas chromatograph coupled to a Varian Saturn 2000 mass spectrometer. An Agilent DB-5 capillary column (30 m × 0.25 mm; coating thickness 0.25 µm) was used as the stationary phase. Chromatographic conditions were as follows: injector and transfer line temperatures, 220 and 240 °C, respectively; oven temperature programmed from 60 to 240 °C at 3 °C/min; helium was used as carrier gas at 1 mL/min; splitless injection. Identification of volatile compounds was performed by comparing retention times with those of reference pure compounds, comparing their linear retention indices (LRI) relative to the C6–C28 series of n-hydrocarbons, and by matching their mass spectra against commercial [16,17] and home-made libraries built up from pure substances.

2.4. Preparation of Extracts for NMR and HPLC-MSn Analyses

Sample preparation was performed using a protocol previously described by Dall’Acqua et al. [18] and Bendif et al. [15]. A total of 20 g of the dried aerial parts were ground with an IKA A11 basic analytical mill to obtain a fine powder. The powder was suspended in 150 mL of methanol and then sonicated for 10 min. After centrifugation, the supernatant was recovered in an Erlenmeyer flask, and the residue was re-extracted with a further 50 mL of the same solvent two more times. Thereafter, supernatants were collected and concentrated under reduced pressure with a rotary evaporator at 35 °C, yielding 2.13 g of crude extract (yield 10.65%, w/w). An amount of the dry extract was stored in dark glass vials at −20 °C until its chemical characterization. Two grams were used for fractionation using solvents at increasing polarity. The extract was suspended in a methanol/water (1:9) mixture (50 mL) and sonicated. The mixture was then partitioned with n-hexane (HEX; 20 mL, 3 times), dichloromethane (DCM; 20 mL, 3 times), ethyl acetate (EA; 20 mL, 3 times), and butanol (BUT; 20 mL, 3 times). The fractions were dried under vacuum and analyzed by NMR.

2.5. NMR Analysis

The crude extract and dried fractions were suspended in deuterated methanol. 1H-NMR spectra were recorded with a Bruker Avance III spectrometer (Bruker, Billerica, MA, USA) operating at 400 MHz, using standard pulse sequences.

2.6. HPLC-MSn Analysis

The HPLC-MSn method was used for the identification of secondary metabolites in the crude methanolic extract of P. spinosa. Before analysis, the dry sample was dissolved in methanol at a concentration of 5 mg/mL and filtered through a 0.45 µm Millipore filter. The HPLC system was composed of a Varian 212 binary pump equipped with a Varian Prostar 430 autosampler coupled to a Varian 500 Ion Trap mass detector (MS). An Agilent Eclipse plus C18 column (2.1 × 150 mm, 3.5 µm) was used as the stationary phase. A gradient of acetonitrile (A) and 0.1% v/v formic acid in water (B) was used as the mobile phase. The gradient was set as follows: 0 min, 10% A; 20 min, 54% A; 23 min, 100% A; isocratic up to 32 min. Re-equilibration time was 8 min. The flow rate was 0.2 mL/min. MS data were acquired in the negative ion mode [ESI (-)], and the operating parameters of the spectrometer were as follows: needle voltage, 4500 V; capillary voltage, 70 V; RF loading, 100%; nebulizing gas pressure, 20 psi (nitrogen); dry in gas pressure, 15 psi; dry in gas temperature, 350 °C. Mass spectra were recorded in the range of m/z 50–2000. The turbo detection data scanning (TDDS) function of the instrument was used to investigate the fragmentation pattern of the eluted compounds, setting n = 3 levels of fragmentation. Fragmentation data, together with information on the molecular weight of the compounds, were used to perform the tentative identification of secondary metabolites from P. spinosa. As a comparison, literature data were evaluated.
Identified phenolic compounds were quantified using linear calibration curves. These latter were calculated by analyzing standard solutions of rutin (for flavonoids) and chlorogenic acid (for phenolic acids) and integrating the corresponding peaks to obtain the area under the curve (AUC) values. Concentration ranges were 12–120 µg/mL and 10.4–104 µg/mL for rutin and chlorogenic acid, respectively. The equations were y = 7342x − 19,707 (R2 = 0.9999) for rutin, and y = 7504.8x − 3890.2 (R2 = 1) for chlorogenic acid. The analysis was performed in triplicate, and the results were expressed as mean ± standard deviation (S.D.).

3. Results and Discussion

3.1. HS-SPME-GC-MS Analysis of Volatile Compounds

The development of quick and sustainable methods for the extraction of volatile compounds from plant materials such as the HS-SPME is important. The rapid sampling shortens the whole length of the analysis, while the avoidance of organic solvents reduces its environmental impact. HS–SPME coupled with the GC–MS analysis of the aerial parts of P. spinosa exhibited 48 volatile compounds, accounting for 98.1% of the whole volatile extract. The identified compounds, their retention indexes, and their relative proportions are presented in Table 1. A representative chromatogram is shown in Figure 1.
The volatile profile was dominated by sesquiterpene hydrocarbons (65.8%), followed by monoterpene hydrocarbons (16.9%). Oxygenated monoterpenes were less represented, similar to oxygenated sesquiterpenes (8.3% and 6.5%, respectively). Phenylpropanoids (0.5%) and apocarotenes (0.1%) were found as trace components. Considering the single identified compounds, the aerial parts of P. spinosa were characterized mainly by β-chamigrene (16.2%), α-selinene (12.8%), β-pinene (10.6%), and β-caryophyllene (9.2%). Some other compounds, such as trans-γ-cadinene (5.2%), alloaromadendrene (4.4%), and germacrene D (4.3%), were found.
The chemical composition of the volatile compounds extracted from fresh plant material by HS-SPME was different from that reported in a previous study by Al-Qudah et al. [10]. Their chemical investigation demonstrated that the essential oil of flowers was dominated by a mixture of oxygenated sesquiterpenes (61.12%) and sesquiterpene hydrocarbons (34.76%). Moreover, the main constituents were different: α-cadinol (16.48%), germacra-1(10),5-diene-3,4-diol (14.45%), γ-cadinene (12.03%), and α-muurolol (9.89%) were the most abundant ones, while, except for γ-cadinene, they were not detected in our study. Nevertheless, the results from the analysis of HS-SPME fractions and EOs obtained by hydro-distillation are not directly comparable due to the completely different sampling methods. For instance, the low temperature maintained during the HS-SPME sampling avoids the thermal degradation of some constituents, conversely to distillation methods. This aspect can partially justify why many of the major constituents identified by Al-Qudah et al. [10] were not found in our extract or were present in low amounts. For the same reasons, our data differ from older ones published by Senatore & Bruno on P. spinosa harvested in Southern Italy. Their results show a predominance of oxygenated sesquiterpenoids in the EO (60.2% of the oil). Among the 38 components that were identified, the most abundant were germacra-1(10),5-dien-3,4-diol (18.4%), α-cadinol (14.1%), 3-acetoxygermacra-1(10),5-dien-4-ol (13.0%), τ-cadinol (8.2%) and δ-cadinene (5.8%) [19].
Several volatile plant metabolites and their mixtures are known to exert antimicrobial effects. For instance, β- pinene, one of the main volatile compounds from the aerial parts of P. spinosa, is highly toxic to Candida albicans and several pathogenic bacteria, such as the methicillin-resistant Staphylococcus aureus (MRSA), which causes severe infections in humans [20]. β-Caryophyllene, a well-known sesquiterpene, is also toxic to MRSA and exerts anti-inflammatory activity via inhibiting different inflammatory mediators such as interleukin 1β, interleukin-6, and tumor necrosis factor-α. It has also analgesic, myorelaxing, sedative, and antidepressive effects [21]. Other terpenes contributing to the volatile profile of P. spinosa, such as p-cymene and β-selinene, are known to exert antioxidant, analgesic, anti-inflammatory, and antimicrobial activities [22,23]. Overall, these data suggest that these compounds may be involved in the therapeutic effects of P. spinosa, although further studies are needed to verify this hypothesis.

3.2. NMR and HPLC-MSn Analysis of Secondary Metabolites

HEX, EA, and DCM solvents allowed the extraction of the most abundant lipophilic constituents of the plant material. The respective spectra, reported in Figure 2, Figure 3, Figure 4 and Figure 5, support the fact that the most abundant compounds in these fractions are lipids. The assignments of the main signals of these lipids are reported in Table 2.
In the EA fraction, some minor signals could be observed in the aromatic region and suggest the presence of some phenolic derivatives. In particular, two ortho-coupling doublets at δ 7.73 and 6.40 indicate the presence of derivatives bearing an ortho-para disubstituted ring, as well as the singlet at δ 6.50. The meta-coupling doublets at δ 6.13–6.36 could be ascribed to position 3 and positions 6 and 8 of flavonoid derivatives. Moreover, some minor signals at δ 7.74, 7.34, and 7.19 indicate the presence of phenolic compounds.
On the other hand, the spectrum of the BUT fraction (Figure 6) presents enlarged signals suggesting the presence of several polysaccharides. Nevertheless, some resonances can be useful for a screening of the main compounds. Broad signals in the aliphatic part can be ascribed to the non-oxygenated positions of quinic acid moieties, as well as several aromatic signals supporting the presence of phenols.
For an exhaustive characterization of phenolic compounds, the chemical composition of the crude methanol extract was explored further by HPLC-MSn. As shown in Table 3 and Figure 7, the analysis allowed us to identify 23 compounds as polyphenols. These constituents accounted for 7.26 mg/g of dried plant material, and phenolic acids were the most representative (5.83 mg/g). Tricaffeoylhexaric acid (1.76 mg/g DW), tetracaffeoylhexaric acid (1.41 mg/g DW), 3,5-dicaffeoylquinic acid (1.04 mg/g DW), caffeoyl dihexoside (0.35 mg/g DW), and chlorogenic acid (0.29 mg/g DW) were identified as the most abundant ones. Their MSn spectra are shown in Figures S1–S5 of the Supplementary Materials. Among the flavonoids, the most abundant ones were tricin (0.24 mg/g DW) and its 7-glucoside (0.26 mg/g DW), rutin (0.22 mg/g DW), apigenin (0.18 mg/g DW), and patuletin galactoside (0.15 mg/g DW).
In a paper dated 1992, Ahmed et al. reported the identification of 11 flavonoids in the aerial parts of P. spinosa harvested in Egypt. Patuletin 3-O-galactoside and tricin 7-O-glucoside, also detected in our study, were two of these, together with other tricin, patuletin, and quercetin glycosides [13]. More recently, Khettaf & Dridi reported the isolation of tricin 7-O-glucoside from the aerial parts of P. spinosa harvested in Algeria, together with tricin, quercetin, patuletin 7-galactopyranoside, and patuletin-3-O-α-l-rharnnopyranosyl (1–6)-β-d-galactopyranoside [24]. A more exhaustive characterization of phenols from the aerial parts of Algerian P. spinosa has been presented by Amrani-Allalou et al. In their work, the authors reported 13 compounds that, in accordance with our results, were classified into flavonoids and phenolic acids [25]. Considering the single compounds, several were different from those reported in our work. Among the flavonoids, (epi)catechin, epigallocatechin, phlorizin, naringenin, and apigenin glucoside were not detected in our extract. Conversely, the presence of myricetin hexoside in P. spinosa is reported for the first time in our work. Among the phenolic acids, several derivatives of caffeic acid identified in our extract were lacking in the results presented by Amrani-Allalou et al. [25]. These differences can be attributed to several factors. First of all, the different collection sites of the plants generally have a significant influence on the chemical properties of plant specimens. Secondly, the different extraction protocols lead to the enrichment of the extracts in compounds with different physical and chemical properties. Last but not least, the analytical method used for the chemical characterization of extracts.
In Algeria, P. spinosa is used as a medicinal remedy for several health disorders, especially microbial infections and inflammation. Although a bioactivity screening of extracts was not performed in this study, we could assess the presence of some secondary metabolites whose pharmacological properties have already been studied in vitro and in vivo. Among these are some of the most abundant constituents of the methanol extract of P. spinosa, such as chlorogenic acid and 3,5-dicaffeoylquinic acid, whose anti-inflammatory, antioxidant, and antibacterial activities have been reported in vivo. Other bioactive compounds were detected among the flavonoids, such as the well-known apigenin, quercetin, and kaempferol. Moreover, for these, literature data demonstrate their antioxidant, antimicrobial, anti-inflammatory, and antitumor effects in vivo. A summary of these data is reported in Table 4. Overall, these data will be useful as a starting point for further bioactivity assessments on P. spinosa from Algeria.

4. Conclusions

In this work, we investigated the composition of volatile compounds and non-volatile secondary metabolites of the aerial parts of P. spinosa from Algeria. To the best of our knowledge, this study is the first to report an exhaustive chemical characterization of this plant species, considering that, especially for non-volatile metabolites, previous works have described only a few compounds. The results indicate that the volatile profile of Algerian P. spinosa is dominated by sesquiterpene hydrocarbons and monoterpene hydrocarbons instead of oxygenated terpenes, conversely to what has been previously reported by other authors. This difference can be related to the different techniques used for extraction and analysis of volatile compounds but also to different times, environmental conditions, and geographical locations of plant harvesting. Regarding non-volatile secondary metabolites, phenolic acids are the most abundant and are represented mainly by caffeic acid derivatives. Flavonoids were also detected, although in low amounts. Nevertheless, some of these are already known to exert beneficial effects in humans; hence, they may be at least co-responsible for the bioactivities associated with P. spinosa. In the future, further studies will be required to verify this hypothesis.
Overall, the results of this study represent a contribution to the valorization of understudied plants from Algeria and the preservation of the biodiversity of this region. P. spinosa, which is still used as a remedy for several ailments in Algeria, represents a valuable source of phytochemicals such as polyphenols and volatile terpenes. These data may represent a starting point for further rationalization of the medicinal use of this plant species.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/app131810113/s1, Figure S1. m/z 695: compound identified as tricaffeoylhexaric acid. Figure S2. m/z 857: compound identified as tetracaffeoylhexaric acid. Figure S3. m/z 515: compound identified as 3,5-dicaffeoylquinic acid. Figure S4. m/z 539: compound identified as caffeoyl dihexoside. Figure S5. m/z 353: compound identified as chlorogenic acid.

Author Contributions

Conceptualization, N.A. and H.B.; methodology, G.F., S.D. and G.P.; software, G.P.; validation, G.P., S.D. and F.M.; formal analysis, G.P.; investigation, H.B., N.A., N.S., S.S. and G.P.; resources, G.F., F.M. and S.D.; data curation, G.P., H.B. and S.D.; writing—original draft preparation, N.A., H.B. and G.P.; writing—review and editing, G.P. and H.B.; visualization, G.P.; supervision, H.B. and G.P.; project administration, H.B. and F.M.; funding acquisition, H.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are available upon request to the corresponding Authors.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Exemplificative chromatogram obtained from the GC-MS analysis of the volatile extract obtained from P. spinosa by HS-SPME.
Figure 1. Exemplificative chromatogram obtained from the GC-MS analysis of the volatile extract obtained from P. spinosa by HS-SPME.
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Figure 2. 1H-NMR spectrum of the HEX fraction.
Figure 2. 1H-NMR spectrum of the HEX fraction.
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Figure 3. 1H-NMR spectrum of the EA fraction.
Figure 3. 1H-NMR spectrum of the EA fraction.
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Figure 4. 1H-NMR spectrum of the DCM fraction.
Figure 4. 1H-NMR spectrum of the DCM fraction.
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Figure 5. Magnification of the aromatic area in the 1H-NMR spectrum of the DCM fraction.
Figure 5. Magnification of the aromatic area in the 1H-NMR spectrum of the DCM fraction.
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Figure 6. 1H-NMR spectrum of the BUT fraction.
Figure 6. 1H-NMR spectrum of the BUT fraction.
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Figure 7. Exemplificative chromatogram obtained from the HPLC-MS analysis of the P. spinosa methyl extract. Numbers refer to the identified metabolites reported in Table 3. Peaks: (1) caffeoyl dihexoside, (2) ferulic acid, (3) quercetin, (4) caffeoyl hexoside, (5) chlorogenic acid, (6) dicaffeoylhexaric acid, (7) dicaffeoylhexaric acid isomer 1, (8) myricetin hexoside, (9) feruloylquinic acid, (10) dicaffeoylhexaric acid isomer 2, (11) patuletin-rharnnopyranosyl-galactopyranoside, (12) dicaffeoylhexaric acid isomer 3, (13) rutin, (14) dicaffeoylhexaric acid isomer 4, (15) patuletin galactoside, (16) caffeoyl diglucoside, (17) 3,5-dicaffeoylquinic acid, (18) tricin 7-glucoside, (19) tricaffeoylhexaric acid, (20) tetracaffeoylhexaric acid, (21) kaempferol, (22) apigenin, (23) tricin.
Figure 7. Exemplificative chromatogram obtained from the HPLC-MS analysis of the P. spinosa methyl extract. Numbers refer to the identified metabolites reported in Table 3. Peaks: (1) caffeoyl dihexoside, (2) ferulic acid, (3) quercetin, (4) caffeoyl hexoside, (5) chlorogenic acid, (6) dicaffeoylhexaric acid, (7) dicaffeoylhexaric acid isomer 1, (8) myricetin hexoside, (9) feruloylquinic acid, (10) dicaffeoylhexaric acid isomer 2, (11) patuletin-rharnnopyranosyl-galactopyranoside, (12) dicaffeoylhexaric acid isomer 3, (13) rutin, (14) dicaffeoylhexaric acid isomer 4, (15) patuletin galactoside, (16) caffeoyl diglucoside, (17) 3,5-dicaffeoylquinic acid, (18) tricin 7-glucoside, (19) tricaffeoylhexaric acid, (20) tetracaffeoylhexaric acid, (21) kaempferol, (22) apigenin, (23) tricin.
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Table 1. Aroma profile (relative percentages of identified compounds) of the aerial parts of P. spinosa obtained using HS-SPME–GC–MS. Compounds are listed in order of their elution from an HP-5MS column.
Table 1. Aroma profile (relative percentages of identified compounds) of the aerial parts of P. spinosa obtained using HS-SPME–GC–MS. Compounds are listed in order of their elution from an HP-5MS column.
ConstituentsClass aLRI bRI Lit. c%
α-pineneMH9419391.0
β-pineneMH98297910.6
α-phellandreneMH100610030.3
p-cymeneMH102710255.0
cis-sabinene hydrateMO107010700.2
nopinoneMO113911380.3
trans-pinocarveolMO114111402.3
pinocarvoneMO116411641.5
4-terpineolMO117911770.2
myrtenolMO119511961.3
verbenoneMO120712050.7
methyl thymolMO123412350.2
(E)-anetholePP128412840.5
trans-pinocarvylacetateMO129812970.2
theaspirane IIAC131513150.1
myrtenyl acetateMO132713270.7
δ-elemeneSH134013381.4
α-longipineneSH135213530.5
cyclosativeneSH136913680.6
α-ylangeneSH137213720.4
α-copaeneSH137713761.2
geranyl acetateMO138313810.3
β-elemeneSH139313912.6
longifoleneSH140314020.1
α-gurjuneneSH141014090.3
β-caryophylleneSH141914199.2
β-copaeneSH143014310.3
γ-elemeneSH143414330.6
trans-α-bergamoteneSH143714350.7
epi-β-santaleneSH144914480.5
α-humuleneSH145614551.0
alloaromadendreneSH146214604.4
β-chamigreneSH1476147516.2
germacrene DSH148114814.3
β-selineneSH148614851.4
α-selineneSH1495149412.8
α-muuroleneSH149915000.1
trans-γ-cadineneSH151415155.2
δ-cadineneSH152415231.5
α-cadineneSH153815390.2
germacrene BSH155715560.3
(E)-nerolidolSO156415640.3
germacrene d-4-olSO157515761.4
spathulenolSO157715781.1
caryophyllene oxideSO158215810.7
geranyl 2-methylbutyrateMO160015960.4
γ-eudesmolSO163216320.4
τ-cadinolSO164116402.6
Monoterpene hydrocarbons 16.9
Oxygenated monoterpenes 8.3
Sesquiterpene hydrocarbons 65.8
Oxygenated sesquiterpenes 6.5
Phenylpropanoids 0.5
Apocarotenoids 0.1
Total identified 98.1
a MH: monoterpene hydrocarbons; MO: oxygenated monoterpenes; SH: sesquiterpene hydrocarbons; SO: oxygenated sesquiterpenes; PP: phenylpropanoids; AC: apocarotenoids. b Linear retention index on HP-5MS column, experimentally determined using homologous series of C8–C32 alkanes. c Linear retention index taken from the NIST library.
Table 2. Main signals detected in lipophilic fractions attributable to fatty acids.
Table 2. Main signals detected in lipophilic fractions attributable to fatty acids.
Signal Assignmentppm
CH3 FA: All fatty acids except linolenic acid (-CH2-CH3)0.93
CH2 FA: Acyl chains [-(CH2)n-]1.31–1.35
CH2 FA1: Acyl chains (-CH2-CH2-COOH)1.63
CH2 FA2: Mono- and polyunsaturated fatty acids (-CH2-CH=CH-)2.10
CH2 COO: Acyl chains in unsaturated fatty acids (-CH2-COOH)2.35
CH2 FA CH: (-CH=CH-CH2-CH=CH-)2.80
TGL1: Triacylglycerols (-CH2-OCO-)4.23
TGL2: Triacylglycerols (-CH-OCO-)5.30
US: unsaturated fatty acids (-CH=CH-)5.40
Table 3. Results from the HPLC-MSn characterization of secondary metabolites extracted from the aerial parts of P. spinosa. Results are reported as means ± standard deviation (n = 3). The number associated with each metabolite refers to the corresponding peak in the chromatogram shown in Figure 7.
Table 3. Results from the HPLC-MSn characterization of secondary metabolites extracted from the aerial parts of P. spinosa. Results are reported as means ± standard deviation (n = 3). The number associated with each metabolite refers to the corresponding peak in the chromatogram shown in Figure 7.
N.R.T. (min)m/z *MS2 Fragments (m/z)Tentative IdentificationClass **mg/g DW
12.56539503 341 281 251 221 179Caffeoyl dihexosidePA0.35 ± 0.03
22.65193179 149Ferulic acidPA0.07 ± 0.00
39.33301179 151QuercetinFV0.04 ± 0.00
410.85341179 161 135Caffeoyl hexosidePA0.05 ± 0.00
511.88353191 173 127Chlorogenic acidPA0.29 ± 0.01
613.00533371 209 191Dicaffeoylhexaric acidPA0.12 ± 0.00
713.50533371 209 191Dicaffeoylhexaric acid isomer 1PA0.11 ± 0.00
813.89479317 299 271Myricetin hexosideFV0.09 ± 0.01
913.96367191 173Feruloylquinic acidPA0.07 ± 0.00
1014.40533371 209 191Dicaffeoylhexaric acid isomer 2PA0.16 ± 0.01
1114.46639331Patuletin-rharnnopyranosyl-galactopyranosideFV0.09 ± 0.01
1214.65533371 209 191Dicaffeoylhexaric acid isomer 3PA0.08 ± 0.00
1314.78609301RutinFV0.22 ± 0.02
1415.05533371 209 191Dicaffeoylhexaric acid isomer 4PA0.12 ± 0.00
1515.18493331Patuletin galactosideFV0.15 ± 0.00
1615.38503341 323 221 179 161Caffeoyl diglucosidePA0.24 ± 0.02
1715.95515353 191 1733,5-Dicaffeoylquinic acidPA1.04 ± 0.04
1816.36491329 315 300Tricin 7-glucosideFV0.26 ± 0.01
1916.92695533 371 209Tricaffeoylhexaric acidPA1.76 ± 0.10
2018.66857695 533 371 209Tetracaffeoylhexaric acidPA1.41 ± 0.66
2119.66285270 255KaempferolFV0.13 ± 0.00
2221.56269151 117 107ApigeninFV0.18 ± 0.00
2322.60329314 329 299TricinFV0.24 ± 0.01
Total identified 7.26 ± 0.66
Phenolic acids 5.83 ± 0.65
Flavonoids 1.42 ± 0.01
* m/z values of [M-H]- ions are reported, except for metabolite 1, which was identified as [M-H+HCl] adduct. ** PA: phenolic acid; FV: flavonoid.
Table 4. Main bioactivities of polyphenols detected in the methanol crude extract of P. spinosa. Information is taken from the literature, and the references for each compound are reported in the Table.
Table 4. Main bioactivities of polyphenols detected in the methanol crude extract of P. spinosa. Information is taken from the literature, and the references for each compound are reported in the Table.
ClassChemical ConstituentBioactivitiesReferences
Phenolic acidsFerulic acidAnti-hyperlipidemic, antioxidant, and anti-inflammatory effects in vivo[26]
Chlorogenic acidAnti-inflammatory, antioxidant, antibacterial, protection of liver and kidney in vivo[27]
3,5-Dicaffeoylquinic acidAnti-inflammatory and memory enhancer in vivo[28,29]
FlavonoidsApigeninAntitumor, antioxidant, decreases levels of blood glucose, improves cognitive performance in vivo[30]
QuercetinAntioxidant, antimicrobial, anti-inflammatory, antitumor effects in vivo[31]
KaempferolAntimicrobial and beneficial cardiovascular properties[32]
TricinAntitumor properties[33]
RutinAnticancer properties[34]
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Adoui, N.; Souilah, N.; Bendif, H.; Sut, S.; Dall’Acqua, S.; Flamini, G.; Maggi, F.; Peron, G. Characterization of Polyphenols and Volatile Compounds from Understudied Algerian Pallenis spinosa by HS-SPME-GC-MS, NMR and HPLC-MSn Approaches. Appl. Sci. 2023, 13, 10113. https://doi.org/10.3390/app131810113

AMA Style

Adoui N, Souilah N, Bendif H, Sut S, Dall’Acqua S, Flamini G, Maggi F, Peron G. Characterization of Polyphenols and Volatile Compounds from Understudied Algerian Pallenis spinosa by HS-SPME-GC-MS, NMR and HPLC-MSn Approaches. Applied Sciences. 2023; 13(18):10113. https://doi.org/10.3390/app131810113

Chicago/Turabian Style

Adoui, Nabila, Nabila Souilah, Hamdi Bendif, Stefania Sut, Stefano Dall’Acqua, Guido Flamini, Filippo Maggi, and Gregorio Peron. 2023. "Characterization of Polyphenols and Volatile Compounds from Understudied Algerian Pallenis spinosa by HS-SPME-GC-MS, NMR and HPLC-MSn Approaches" Applied Sciences 13, no. 18: 10113. https://doi.org/10.3390/app131810113

APA Style

Adoui, N., Souilah, N., Bendif, H., Sut, S., Dall’Acqua, S., Flamini, G., Maggi, F., & Peron, G. (2023). Characterization of Polyphenols and Volatile Compounds from Understudied Algerian Pallenis spinosa by HS-SPME-GC-MS, NMR and HPLC-MSn Approaches. Applied Sciences, 13(18), 10113. https://doi.org/10.3390/app131810113

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