Next Article in Journal
Biophysical and Computational Analysis of a Potent Antimalarial Compound Binding to Human Serum Albumin: Insights for Drug–Protein Interaction
Previous Article in Journal
Isopimaric Acid Derivatives as Potential Dual PPARα/γ Agonists in the Treatment of Metabolic Syndrome
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Untargeted Metabolomic Profiling and Bioactivity Insights into Alkanna corcyrensis

1
Laboratory of Pharmacognosy and Natural Products Chemistry, Faculty of Pharmacy, National and Kapodistrian University of Athens, 15771 Athens, Greece
2
Laboratory of Physiology and Biochemistry, Department of Biology, Science Faculty, Selcuk University, 42130 Konya, Turkey
*
Author to whom correspondence should be addressed.
Sci. Pharm. 2025, 93(3), 45; https://doi.org/10.3390/scipharm93030045
Submission received: 30 July 2025 / Revised: 29 August 2025 / Accepted: 9 September 2025 / Published: 11 September 2025

Abstract

This study aimed to characterize the chemical composition and evaluate the biological activities of the aerial parts of Alkanna corcyrensis Hayek (AC), an endemic Greek species not previously studied. Phytochemical analysis of the methanolic extract was performed using UHPLC-ESI-Q-TOF–MS/MS combined with molecular networking analysis. Additionally, the total phenolic content (TPC) and total flavonoid content (TFC) were determined. Chromatographic separations were carried out to isolate major compounds, and the antioxidant capacity, along with enzyme inhibitory activity, was assessed. The analysis led to the tentative identification of 86 compounds, including 67 phenolic compounds (mainly caffeic acid derivatives and flavonoid glycosides), 10 pyrrolizidine alkaloids of trachelanthamidine, platynecine, and retronecine types, and nine organic and fatty acid derivatives. Among these, one flavonol glycoside (kaempferol-O-malonyl methyl ester hexoside) and three pyrrolizidine alkaloids (9-sarracinoyl-trachelanthamidine/isoretronecanol, retronecine-pentoside, and trachelanthamidine/isoretronecanol-hexoside) were reported for the first time. The extract exhibited high TPC (74.45 mg GAE/g extract) and TFC (46.66 mg GAE/g extract). Chromatographic separations resulted in the isolation of five major metabolites, namely rosmarinic acid, danshensu, kaempferol-3-O-glucoside, kaempferol-3-O-galactoside, and quercetin-3-O-glycoside. Biological evaluation revealed considerable antioxidant activity and inhibitory effects against α-glucosidase (6.65 mmol ACAE/g extract). Overall, this study highlights the remarkable phytochemical diversity and richness of AC among alkanet species and demonstrates its promising antioxidant potential, laying the foundation for further investigations towards its future exploitation.

1. Introduction

The genus Alkanna (alkanet) of the family Boraginaceae includes 66 species native to southern and east-central Europe, western Asia, and North Africa [1]. It is represented by a significant number of local and regional endemic species [2]. Alkanna corcyrensis Hayek (AC) is a perennial herb endemic to Greece [3]. Its name is derived from its geographical origin, Corfu Island, which is known as “Kerkyra-Corcyra” in Greek, where it is extensively distributed as well as in other Ionian Islands and seaside areas in northwest Greece [4]. The genus has been recognized for its medicinal properties since ancient times, especially for wound healing and further cosmeceutical uses attributed to the hydroxynaphthoquinones present in its roots [5]. As a result, research efforts have largely focused on alkanets’ root extracts, particularly in Alkanna tinctoria [6,7,8].
Due to the endemic nature of AC, there are no documented traditional uses reported for this species. However, AC root hexane extract has been chemically characterized, revealing the presence of alkannin derivatives including acetyl alkannin, isobutyl alkannin, angelic alkannin, β,β-dimethylacryl alkannin, and isovaleryl-α-methyl-n-butyl alkannin [9], while a later study quantified its content of alkannin/shikonin (A/S) derivatives [10]. More recently, AC seeds were found to be rich in fatty acids—especially gamma-linolenic acid. The seeds’ water-methanolic extract also showed strong antioxidant activity (2.56 mmol TE/100 g by DPPH, 1.24 mmol TE/100 g by ABTS) and high phenolic (525.3 mg GAE/100 g) and flavonoid content (365.3 mg QE/100 g), with a notable concentration of rosmarinic acid (433.7 mg/100 g), alongside phenolic acids like 4-hydroxybenzoic acid and trans-p-coumaric acid, as well as flavonoids such as rutin and quercetin-3-O-glucoside [11].
Few studies have focused on the aerial parts of alkanet species, where various phenolic compounds (PCs) have been identified, including hydroxycinnamic acid derivatives and flavonoids. Specifically, glycosides of quercetin and kaempferol, as well as derivatives of caffeic acid, such as rosmarinic acid, salvianolic acids, lithospermic acid, and rabdosiin, have been reported in aerial parts of Alkanna plants so far [12,13]. Furthermore, similarly with other genera among Boraginaceae plants, Alkanna is characterized by the presence of pyrrolizidine alkaloids (PAs), which are notable for their complex structural diversity while posing health risks due to their high hepatotoxicity [14]. The most studied species in this context are A. tinctoria and A. orientalis, which have been found to contain a significant number of PAs, mainly of retronecine type (e.g., 7-angeloyl-retronecine, 7- and 9-tigloyl-retronecine, triangularine, dihydroxy-triangularine) [15]. Recent research focusing on the alkaloid content of rare and endemic species from the Balkan region has led to the identification of new alkaloid derivatives, including glycoside derivatives of PAs [16,17].
Liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) offers a powerful tool for detecting metabolites directly from complex plant matrices without requiring extensive purification steps. This approach provides rapid insights into phytochemical profiles, making it particularly advantageous when dealing with novel or low-abundance compounds [18]. Especially in the case of PAs, LC–MS/MS is recognized as an efficient analytical tool, offering the advantage of detecting N-oxides (PANOs, Pyrrolizidine Alkaloid N-Oxides) without requiring additional reduction steps [14,18]. Direct analysis of PANOs is important because they are naturally more abundant in plants than their respective tertiary nitrogen, parent PAs [19]. In fact, LC–MS/MS is considered a standard method for detecting alkaloids in food products under regulatory compliance guidelines, such as those outlined by the European Pharmacopoeia [20].
Untargeted metabolomics simultaneously analyzes hundreds to thousands of metabolites by processing all mass chromatogram signals without bias, offering a comprehensive view of the metabolome [21]. Identification typically relies on annotation strategies combining exact mass, isotope patterns, retention times, and structural information derived from MS/MS fragmentation data [22]. However, this approach also leads to much more complex data processing and subsequent analysis steps [21]. Computational tools such as the Global Natural Products Social Molecular Networking (GNPS) platform can assist by clustering structurally related molecules based on shared fragment patterns and matching them to reference spectra from curated databases [23,24]. However, interpreting large-scale MS/MS data remains difficult due to vast chemical diversity and incomplete spectral libraries, which are continuously updated as new compounds are characterized [25]. In general, no single approach has been established for comprehensive metabolite characterization, as metabolites exhibit a wide range of diverse physicochemical properties [21,22]. Recognizing chemical groups of interest helps to narrow down the scope of analysis, while having a broader understanding of the biosynthetic capacities of related species is particularly valuable when studying previously uncharacterized plants.
In the present study, as part of our ongoing research on Boraginaceae plants [12,17,26,27,28], a comprehensive UHPLC-ESI-Q-TOF–MS/MS analysis of AC’s chemical profile was performed, particularly focused on pharmacologically and toxicologically important chemical classes of secondary metabolites (PCs and PAs). The analysis is complemented by biological activity tests that assess antioxidant capacity and enzyme inhibitory effects against cholinesterase, α-amylase, and α-glucosidase enzymes. To our knowledge, the endemic species A. corcyrensis has never been studied before.

2. Materials and Methods

2.1. Plant Material and Extraction

The aerial parts of AC were collected from Preveza (Epirus, North-West Greece) during the flowering season and were botanically identified by Dr. E. Kalpoutzakis (Dept. of Pharmacy, NKUA). The plant material was deposited at the Herbarium of the Laboratory of Pharmacognosy Department of Pharmacy at the National and Kapodistrian University of Athens (NKUA) (voucher number IC238).
The aerial parts of the plant were naturally dried at room temperature in a shaded and well-ventilated environment. The air-dried material was then ground using a laboratory mill. A total of 9 g of powdered plant material underwent maceration with methanol (200 mL) at room temperature for 24 h. The extraction procedure was repeated three times. The combined extracts were filtered through white filter paper and evaporated under vacuum at a maximum temperature of 40 °C using a rotary evaporator, yielding 1.1 mg of methanolic extract.

2.2. Isolation of Compounds

A total of 0.67 g of the methanolic extract was subjected to column chromatography on a Sephadex LH-20 (25–100 μm, Pharmacia), using a gradient elution of dichloromethane: methanol (DCM: MeOH, 10:90 → 0:100), yielding 23 fractions (AC1–AC23). Fractions AC11 (5.7 mg) and AC17 (8.5 mg) yielded danshensu (salvianic acid A) and rosmarinic acid, respectively. Fraction AC19 (21.4 mg) was further purified by preparative thin-layer chromatography (prep. TLC) on reversed-phase silica gel RP-18 (Merck™, Darmstadt, Germany), using water: methanol (50:50) as the mobile phase. The resolved bands were scraped from the TLC plate and extracted with methanol, affording three flavonoid glycosides identified as kaempferol-3-O-β-glucoside, kaempferol-3-O-β-galactoside, and quercetin-3-O-β-glucoside. All isolated compounds were structurally characterized by NMR. 1H-NMR spectra were recorded on a Bruker DRX 400 spectrometer (Bruker Corporation, Billerica, MA, USA), operating at 400 MHz and using methanol-d4 (Euriso-Top, Cambridge Isotope Laboratories, Tewksbury, MA, USA) as the solvent. The chemical shift of methanol-d4 (3.31 ppm) was used as an internal standard. Compound identification was confirmed by comparison with data in the literature [28,29]. All solvents used for chromatographic separations were of HPLC grade and purchased from Fisher Chemical (Fisher Scientific, Loughborough, Leics, UK).

2.3. Solid-Phase Extraction (SPE) for PAs/PANOs Enrichment

For the PA extraction, the dried and powdered aerial parts of the plant were processed following the standard BfR protocol [30]. Specifically, 2 g of the powdered sample was treated with 20 mL of 0.05 M sulfuric acid (H2SO4) and sonicated for 15 min in an ultrasonic bath. After extraction, the mixture was centrifuged at 3800 rpm for 10 min, and the clear supernatant was carefully separated by decantation. This extraction process was repeated with an additional 20 mL of the same acidic solution, and both supernatants were combined. The resulting total extract was then neutralized to a pH of 7 by adding 25% aqueous ammonia. The neutralized solution was filtered using filter paper, and solid phase extraction (SPE) was performed using C18 cartridges (C18-E, 55 μm, 70 Å, 500 mg/6 mL, Phenomenex Strata®, Phenomenex Inc., Torrance, CA, USA) in a vacuum setup. The SPE protocol involved conditioning the cartridges first with 5 mL methanol, then with 5 mL deionized water, loading 10 mL of the neutralized extract, washing twice with 5 mL deionized water each time, drying the cartridges under low vacuum for 5 to 10 min, and finally eluting the PAs with two 5 mL portions of methanol.

2.4. UHPLC-ESI-Q-TOF–MS and MS/MS Analysis

UHPLC-ESI-Q-TOF–MS/MS analysis was conducted using an Agilent Technologies (Santa Clara, CA, USA) 6530 B system including an ESI-Jet Stream® ion source, a quadrupole time-of-flight (Q-TOF) mass analyzer, a gradient pump, a diode array detector (DAD), an autosampler, and a column oven.
For the chromatographic analysis of AC extract, a Zorbax Stable Bond RP-18 column (250 × 2.1 mm, particle size = 5 μm) was utilized. The mobile phase consisted of solvent A: 1% acetonitrile in H2O with 0.1% (v/v) formic acid and solvent B: 95% acetonitrile in H2O with 0.1% (v/v) FA. A method with a total run time of 45 min was employed. Τhe gradient procedure was as follows: 0–5 min, 95% A/5% B (isocratic); 5–35 min, linear gradient from 95% A/5% B to 5% A/95% B; 35–40 min, linear gradient from 5% A/95% B back to 95% A/5% B. The column temperature was maintained at 25 °C, with a flow rate of 0.2 mL/min and an injection volume of 10 µL. Analysis was performed according to the following parameters of the ion source: dual spray jet stream electrospray (ESI) in negative ion mode; nitrogen flow rate: 10 L/min; nebulizer pressure: 35 psi, gas temp.: 350 °C; sheath gas temperature: 325 °C; fragmentor voltage: 140 V, 200 V, and 250 V; m/z range from 100 to 1000 units in Auto MS/MS acquisition mode.
For the chromatographic analysis of the PA/PANOs fraction, an Atlantis HILIC column was used (3.5 μm, 150 mm × 2.1 mm) (Waters, Milford, MA, USA). The mobile phase consisted of solvent A: acetonitrile (95%) with 10 mM ammonium formate (0.2%) and solvent B: acetonitrile (50%) with 10 mM ammonium formate (0.2%). Τhe gradient procedure was as follows: 0–10 min (isocratic), 100% (A)–0% (B); 10–30 min (linear gradient), 100% (A) to 92% (A); 30–40 min, 92% (A) to 64% (A), 40–45 min (linear gradient), 64% (A) to 100% (A). The total analysis time was 45 min with a flow rate of 0.25 mL/min. The injection volume was set at 5 μL. Analysis was performed according to the following parameters of the ion source: dual spray jet stream ESI, in positive ion mode; nitrogen flow rate: 10 L/min; nebulizer pressure: 35 psi; gas temp.: 350 °C; sheath gas temp.: 325 °C; fragmentor voltage: 120 V; m/z range from 50 to 700 units in Auto MS/MS acquisition mode.
For both chromatographic analyses, data acquisition was performed using Mass Hunter version 2.2.1 (Agilent Technologies).

2.5. Data Processing

Data processing was carried out using MZMine 4.2.0/MZIO software. The raw UHPLC-HRMS files from Agilent (*.D) were first converted to the *.mzML format using the MSConvert tool from the ProteoWizard suite [31,32]. For data processing in the MZMine environment and the corresponding parameters, consult the Supplementary Information (Supplementary Materials Table S1). The tentative identification of compounds was performed according to the accurate mass, the potential adducts and isotopes in correlation with MS/MS fragmentation spectra, and by comparison with commercial and noncommercial databases and spectral libraries (e.g., Dictionary of Natural Products, library mzCloud), as well as data from literature.

2.6. Molecular Networking and Chemical Dereplication

The processing output (MS1, MS2 spectral data, and sample metadata) was subsequently used for the construction of a feature-based molecular network (FBMN) using the comprehensive Global Natural Products Social Molecular Networking (GNPS2) platform [33,34]. The parametrization within the GNPS2 environment included the following general parameters: precursor ion tolerance set to 0.02 Da; fragment ion tolerance set to 0.02. For the networking parameters, the following were applied: minimum cosine score of 0.7; minimum matched peaks of 4. The data from the MZMine were also imported into the robust SIRIUS computational environment [35] to predict the identity and chemical classes of compounds using the built-in tools and algorithms CSI: FingerID [36], CANOPUS [37], and ClassyFire [38]. The outputs from the GNPS2 and SIRIUS analyses were integrated into the Cytoscape environment (version 3.10.2, Cytoscape Consortium, San Diego, CA, USA) [39]. The FBMN output and parametrization of the corresponding workflow can be found on the GNPS2 repository: https://gnps2.org/status?task=44576daacb844287930eb5655fb5f4ad (accessed on 27 January 2025). Detailed networking parameters can be found in Table S1.

2.7. Total Phenolic Content (TPC) and Flavonoid Content (TFC) Assays

The TPC and TFC values of the extract were determined by colorimetric assays, using well-established procedures such as the Folin–Ciocalteu method for TPC and the aluminum trichloride (AlCl3) method for TFC [28,40]. In brief, for the evaluation of TPC, 0.25 mL of the sample solution (2 mg/mL in methanol) was combined with 1 mL of diluted Folin–Ciocalteu reagent (1:9). After incubating for 3 min, 0.75 mL of a 1% Na2CO3 solution was added. The mixture was incubated in darkness at room temperature for 2 h, and its absorbance was measured at 760 nm. TPC results were expressed as milligrams of gallic acid equivalents per gram of extract (mg GAE/g of extract), and the calibration curve for standard gallic acid at different concentrations (0–5 µg) was y = 0.2163x, R2: 0.995.
For the evaluation of TFC, 1 mL of the sample solution (2 mg/mL in methanol) was mixed with 1 mL of 2% AlCl3 in methanol. To prepare the blank of the sample, 1 mL of the sample solution was mixed with 1 mL of methanol (without AlCl3). After incubating for 10 min at room temperature, the absorbances were measured at 415 nm (Shimadzu UV-1800). TFC results were expressed as milligrams of rutin equivalents per gram of extract (mg RE/g of extract), and the calibration curve for standard rutin at different concentrations (0–20 µg) was y = 0.1301x + 0.05, R2: 0.994.
Both quantification assays were conducted in triplicate, and the results were expressed as mean values and standard deviation (SD).

2.8. Biological Activity Assays

2.8.1. Antioxidant Assays

The antioxidant properties of AC extract were evaluated using established antioxidant assays, including metal chelating, phosphomolybdenum, FRAP (Ferric Reducing Antioxidant Power), CUPRAC (Cupric Reducing Antioxidant Capacity), ABTS (2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid), and DPPH (2,2-diphenyl-1-picrylhydrazyl) assays [28,40]. All antioxidant assays were performed in triplicate, and the results were expressed as mean values and standard deviation (SD).
In the DPPH assay, 1 mL of the sample solution (2 mg/mL in methanol) was mixed with 4 mL of a 0.004% DPPH methanol solution. The mixture was incubated for 30 min in the dark at room temperature, and its absorbance was measured at 517 nm. The result was expressed as milligrams of Trolox equivalent per gram of dry extract (mg TE/g), and the calibration curve for standard Trolox at different concentrations (0–5 µg) was y = 14.058x + 1.932, R2: 0.995.
For the ABTS assay, the radical cation was produced by incubating a 7 mM solution of ABTS•+ with 2.45 mM potassium persulfate in the dark at room temperature. Subsequently, 1 mL of the sample solution (2 mg/mL in methanol) was mixed with 2 mL of the ABTS•+ solution, and the absorbance was measured at 734 nm, following a 30 min incubation at room temperature. The result was expressed as the Trolox equivalent (mg TE/g), and the calibration curve for standard Trolox at different concentrations (0–2.5 µg) was y = 12.054x − 2.7398, R2: 0.967.
In the FRAP assay, 0.1 mL of the sample solution (2 mg/mL in methanol) was mixed with 2 mL of the reagent solution comprising 10 mM 2,4,6-tris(2-pyridyl)-s-triazine (TPTZ) in 40 mM HCl, acetate buffer (0.3 M, pH 3.6), and 20 mM ferric chloride in a volume ratio of 1:10:1 (v/v/v). After incubating for 30 min at room temperature, the absorbance was measured at 593 nm. The result was expressed as the Trolox equivalent (mg TE/g), and the calibration curve for standard Trolox at different concentrations (0–2.5 µg) was y = 0.3178x + 0.0053, R2: 0.999.
For the CUPRAC assay, 0.5 mL of the sample solution (2 mg/mL in methanol) was combined with a mixture of 1 mL of 10 mM CuCl2, 1 mL of 7.5 mM neocuproine, and 1 mL of ammonium acetate buffer (1 M, pH 7.0). Absorbance was recorded at 450 nm after a 30 min incubation at room temperature. The result was expressed as the Trolox equivalent (mg TE/g), and the calibration curve for standard Trolox at different concentrations (0–2.5 µg) was y = 0.1317x + 0.0068, R2: 0.996).
In the phosphomolybdenum assay, 0.3 mL of the sample solution (2 mg/mL in methanol) was mixed with 3 mL of the reagent solution comprising 0.6 M sulfuric acid, 28 mM sodium phosphate, and 4 mM ammonium molybdate. The mixture was incubated at 95 °C for 90 min, and absorbance was measured at 695 nm. The result was expressed as the Trolox equivalent (mmol TE/g), and the calibration curve for standard Trolox at different concentrations (0–100 µg) was y = 0.0061x + 0.0056, R2: 0.999.
For the metal chelating activity assay, a 2 mL portion of the sample solution (2 mg/mL in methanol) was mixed with 0.05 mL of a 2 mM FeCl2 solution. Then, 0.2 mL of a 5 mM ferrozine solution was added. The absorbance was measured at 562 nm after incubating the mixture for 10 min at room temperature. The result was expressed as the EDTA equivalent (mg EDTAE/g), and the calibration curve for standard EDTA at different concentrations (0–4 µg) was y = 13.314x − 3.5881, R2: 0.978).

2.8.2. Enzyme Inhibition Assays

Τhe enzyme inhibitory activity of AC extract was assessed against key enzymes such as cholinesterases (AChE and BChE), α-amylase, and α-glucosidase [28,40]. All enzyme inhibition assays were performed in triplicate, and the results were expressed as mean values and standard deviation (SD).
For the cholinesterases inhibition assays, 50 μL of the sample solution (2 mg/mL in methanol) was combined with 125 μL of DTNB (5,5′-dithiobis (2-nitrobenzoic acid), 0.3 mM), and 25 μL of AChE or BChE solution (0.03 unit/mL) in Tris-HCl buffer (50 mM, pH 8.0). The mixtures were incubated at room temperature for 15 min. The reactions were then initiated by adding 25 μL of acetylthiocholine iodide (1.5 mM) or butyrylthiocholine chloride (1.5 mM). After a further 10 min incubation at room temperature, the absorbances of the mixtures were measured at 405 nm. Similarly, a blank was prepared by adding the sample solution to all reaction reagents without the enzyme (AChE or BChE) solution. The results were expressed in milligrams of galantamine equivalents per gram of extract (mg GALAE/g of extract), and the calibration curve for standard galantamine at different concentrations (0–2 µg) was y = 185.44x + 0.5502, R2: 0.996.
In the α-amylase inhibitory assay, 50 μL of the enzyme solution (10 units/mL) in phosphate buffer (pH 6.9 with 6 mM sodium chloride) was added to 25 μL of the sample solution (2 mg/mL in methanol). The mixture was incubated at 37 °C for 10 min. Subsequently, 50 μL of a 0.05% starch solution was added, and the mixture was incubated for another 10 min at 37 °C. Similarly, a blank was prepared by adding the sample solution to all reaction reagents without the enzyme (α-amylase) solution. The reaction was stopped by adding 25 μL of 1 M hydrochloric acid (HCl), followed by the addition of 100 μL of an iodine-potassium iodide solution. The absorbance of the mixture was measured at 630 nm. Results were expressed in millimoles of acarbose equivalents per gram of extract (mmol ACAE/g of extract), and the calibration curve for standard acarbose was y = −0.0312x2 + 3.0426x + 0.4457, R2: 0.993, concentration range: 0–10 µg.
In the α-glucosidase inhibitory assay, 50 μL of the sample solution (2 mg/mL in methanol) was mixed with 50 μL of glutathione (0.5 mg/mL), 50 μL of α-glucosidase solution (0.2 unit/mL) in phosphate buffer (pH 6.8, 0.1 M phosphate buffer), and 50 μL of p-nitrophenyl-α-D-glucopyranoside (10 mM, PNPG). The mixture was incubated at 37 °C for 15 min. Similarly, a blank was prepared by adding the sample solution to all reaction reagents without the enzyme (α-glucosidase) solution. To terminate the reaction, 50 μL of 0.2 M sodium carbonate was added. The absorbances were measured at 400 nm. Results were expressed in millimoles of acarbose equivalents per gram of extract (mmol ACAE/g of extract), and the calibration curve for standard acarbose was y = −0.0013x2 + 0.686x + 1.1301, R2: 0.994, concentration range: 0–300 µg).

3. Results

3.1. Analysis of AC Extract

UHPLC-ESI-Q-TOF–MS analysis of AC extract led to the tentative identification of 76 metabolites in negative ionization mode. Compound annotation was performed by interpreting the MS and MS/MS fragmentation data and by comparison with the data in the literature. The annotated compounds, along with their major detected fragments, are presented in Table 1.

3.2. Molecular Network

The global molecular network constructed by the GNPS2 workflow is presented in Figure 1, showing cluster linking nodes based on their MS/MS spectral/fragmentation similarities, expressed through a cosine similarity coefficient above 0.7, with at least four common ions, along with solitary nodes that are not related to clusters due to differing chemical structures or having fewer than four ions in common with other nodes. The major clusters were highlighted, representing the major chemical classes of secondary metabolites contained in the AC extract.

3.3. LC–MS Analysis of PAs/PANOs Fraction

LC–MS analysis of the obtained PAs/PANOs fraction resulted in the tentative identification of seven PAs and three PANOs (Table 2). Compounds were further classified according to their necine base moiety as trachelanthamidine type (TRA), platynecine type (PLAT), retronecine type (RET), and the respective N-oxides (RETNO) type.

3.4. TPC and TFC

The methanolic extract of AC was assessed for its total phenolic and total flavonoid content, and the results are presented in Table 3.

3.5. Biological Activity

3.5.1. Antioxidant Activity Assays

To evaluate the antioxidant potential of the AC methanolic extract, six different assays were conducted. The DPPH and ABTS assays were used to assess radical scavenging activity. The phosphomolybdenum, CUPRAC, and FRAP assays were employed to determine the extract’s reducing power. Furthermore, a metal chelating assay was performed to evaluate the extract’s metal ion binding capacity. The results of all antioxidant assays are summarized in Table 4.

3.5.2. Enzyme Inhibitory Activity Assays

The enzyme inhibitory effects of AC were assayed against acetylcholinesterase (AChE), butyrylcholinesterase (BChE), α-amylase, and α-glucosidase. The results are presented in Table 5.

4. Discussion

For the analysis of AC, the methodology followed was consistent with previously described approaches for the aerial parts of Alkanna species, such as A. sfikasiana, A. kotschyana, A. orientalis, and A. tinctoria [12,26]. Other solvents and extraction techniques have also been tested for the analysis of Alkanna’s aerial parts [40,75]. For example, different extraction solvents tested in A. tubulosa showed qualitative and quantitative variations in the chemical profile, as well as differences in the biological activities exhibited by the extracts [40].
There is a tendency toward using solvents that are safe for human consumption, reflecting their relevance in potential therapeutic applications. However, several Alkanna species contain PAs [76], which pose significant health risks if not properly controlled. The characterization of the PA profile in AC extract was conducted using the BfR protocol based on German Federal Institute for Risk Assessment (BfR) guidelines. The method involves extracting PAs from plant material using an acidic aqueous solution, and purifying the obtained extract by solid-phase extraction [30]. Acidified extraction methods have previously been applied in Alkanna species for the recovery of PAs [14,17]. However, PAs have also been extracted using other solvents such as water, ethanol, or their mixtures, as reported in A. tubulosa, and maceration with methanol has also been employed [14,40].
For annotation, it is ideal to have informative fragmentation patterns, since the detection of prominent fragment ions helps the study of the fragmentation behaviors of the representative components. PCs generally fragment in more predictable patterns when the negative ionization mode is used [77]. The acidic functional groups—such as the multiple hydroxyl groups present in flavonoids and caffeic acid derivatives—readily undergo deprotonation, forming stable negative ions and improving ionization efficiency in this mode. In contrast, PAs require a positive ionization mode because of their basic properties. The fragmentation behavior of various PA structural types has been extensively studied due to the importance of risk assessment and the establishment of legislation limiting PA levels in food products [20,78]. The characteristic and predictable fragmentation patterns of PAs depend on factors such as the necine base, necic acid, ester type, and the N-oxidation status of the bicyclic ring system [78].

4.1. PCs Analysis

4.1.1. Hydroxycinnamic Acid Derivatives

Among the PCs detected, a total of 39 hydroxycinnamic acid derivatives were identified in AC, representing the largest category of PCs found in the methanolic extract. A more detailed classification revealed that they were primarily composed of coumaroyl (16) and caffeoyl moieties (839).
Coumaroyl Derivatives
Coumaric acid (1), along with five derivatives (26), was tentatively identified in AC (Table 1). Although compound 1 has been reported in A. tubulosa and A. trichophila [40,75], no other coumaroyl derivatives have been found in Alkanna species. Coumaric acid (1), with a precursor ion at m/z 163.0387, exhibited a characteristic fragment ion at m/z 119 ([M-H-44]), corresponding to the loss of CO2 [66]. Fragment ions at m/z 163 and m/z 119 were also observed in MS/MS spectra of 26, indicating the presence of a coumaroyl moiety. Compounds 3 and 5 were tentatively annotated as conjugates of coumaric with threonic/erythronic acid and its methyl ester. In addition to the common fragment ions corresponding to coumaric acid, the MS/MS fragments at m/z 135 (C4H7O5) and m/z 149 (C5H9O5) corresponded to the deprotonated ions of threonic/erythronic acid and its methyl ester, respectively. Notably, coumaroyl-threonic acid methyl ester has been previously isolated from Onosma bracteatum from the Boraginaceae family, too [45].
Caffeoyl Derivatives
Caffeic acid and its derivatives emerged as the main class of hydroxycinnamates, with a total of 31 metabolites identified. They are categorized into monomeric, dimeric, trimeric, and tetrameric assemblies of caffeoyl units. The findings align with Boraginaceae’s phytochemical profile, where caffeic acid and its derivatives are commonly found, ranging from monomers and dimers (e.g., rosmarinic acid) to trimers (e.g., lithospermic acid) and tetramers like rabdosiin and lithospermic acid B [79].
  • Monomers
Caffeic acid (8), with a precursor ion at m/z 179.0332, exhibited a characteristic MS/MS fragment ion at m/z 135 ([M-H-44]), corresponding to the loss of CO2 [66]. Compound 10, already described in A. tubulosa, has been identified as danshensu (salvianic acid A) and isolated from AC extract. Caffeic acid conjugates with organic acids, such as glyceric, threonic/erythronic, and malic acid, were also detected (1114). For instance, compound 12 was putatively identified as the threonic/erythronic ester of caffeic acid based on its MS/MS spectra with the characteristic product ion at m/z 179 ([M-H-C4H6O4]), corresponding to the loss of the dehydrated threonic/erythronic acid moiety. Additional product ions at m/z 161 and m/z 135 confirmed the caffeoyl moiety [66]. Although the presence of 3-O-(E)-caffeoyl-threonic acid and 2-O-(E)-caffeoyl-threonic acid has been previously reported from Pulmonaria officinalis in Boraginaceae [50], caffeoyl conjugates with organic acids are novel to the Alkanna genus.
  • Dimers
Among caffeic acid dimers, rosmarinic acid (18) has been previously suggested as a chemotaxonomic marker for plants in the Boraginaceae family [12], and, as a major metabolite, it has been isolated from AC extract. Its fragmentation pattern, well-documented in the literature, showed a precursor ion at m/z 359 and characteristic fragment ions at m/z 197, 179, and 161 [41,54,71]. Additionally, the AC extract contained several of its derivatives, including rosmarinic acid methyl ester (19) and two hexosides of rosmarinic acid (21, 22). Compounds 15 and 16 were characterized as isomers of nepetoidin B previously reported from Boraginaceae species such as Cordia dichotoma [53], while 17, with a deprotonated molecular ion at m/z 343.0823, was identified as caffeoyl-4-hydroxyphenyllactic acid [54]. Notably, the detected caffeoyl dimers, except rosmarinic acid, are reported for the first time in Alkanna species.
  • Trimers
Regarding caffeic acid trimers, salvianolic acid C (23) has been previously reported in A. tubulosa, A. orientalis, A. tinctoria, and A. kotschyana [12,40]. It exhibited a precursor ion at m/z 491.0973 along with characteristic fragment ions at m/z 311 ([M-H-C9H8O4]) and m/z 295 ([M-H-C9H8O4-H2O]), indicating the loss of a caffeic acid unit and of H2O, respectively. Compound 27 was identified as monomethyl lithospermate, and, although it has been detected in Symphytum anatolicum from Boraginaceae [57], there are no reports of its presence in Alkanna spp.
Four yunnaneic acids (25, 26, 29, 30) have also been identified in AC [49,50]. Yunnaneic acids D, E, and F, first isolated from Salvia yunnanensis, are characterized by their intricate bicyclic structures [80]. Proposed fragmentation patterns of yunnaneic acids D (25) and E (29) can be found in Figure S1. Apart from yunnaneic acids E and F, which have been previously reported in A. tubulosa [40], no other yunnaneic acids or isomers have been mentioned within alkanet plants.
  • Tetramers
Three caffeoyl tetramers with a 2-arylbenzofuran type neolignan skeleton were identified (31, 32, 35). Compound 32 was identified as lithospermic acid B and showed a deprotonated ion [M-H] at m/z 717.1428, and characteristic fragment ions at m/z 519 ([M-H-C9H8O4-H2O]), corresponding to a neutral loss of a caffeoyl moiety and H2O, and at m/z 321 ([M-H-C9H8O4-H2O-C9H8O4-H2O]), resulting from the subsequent loss of another caffeic acid unit and H2O. Additionally, two derivatives of lithospermic acid B were detected, including a sodium salt derivative (m/z 741.1400) (35) and sebestenoid E (m/z 671.1394) (31). Lithospermic acid B has been previously detected in several Alkanna species [12], while its derivatives are novel documentations for the genus.
Compound 34, the monosodium salt of rabdosiin (m/z 739.1259), has been previously detected in several Alkanna species [12], while its disodium salt was first isolated by our team from A. sfikasiana [26]. The fragmentation spectra of compound 34 revealed a major product ion at m/z 559 ([M-H-C9H8O4]), corresponding to the loss of a caffeoyl moiety, along with product ions at m/z 515 and at m/z 335, resulting from an additional CO2 loss, and a subsequent loss of another caffeoyl unit.
Compounds 33, 3739 were tentatively identified as lignan oligosaccharides characterized by an aryl-dihydro-naphthalene core structure that forms a macrocyclic ring through esterification with fructose [81]. Further substitution with acetylated hexoses (33, 37) or coumaroyl-rhamnoside units (38, 39) yielded these complex glycosylated lignan structures. Compounds 33 and 37 were putatively identified as trigonotin A/rupestrin C (m/z 763.2083) and as trigonotin B/rupestrin A (m/z 733.1950) isomers, respectively. Both trigonotins and rupestrins have been isolated from Boraginaceae species (Trigonotis peduncularis and Eritrichium rupestre, respectively) [59,81]. Compounds 38 and 39 were tentatively characterized as pulmonarioside C/echiumin E isomers, showing precursor ions at m/z 983.2814 and at m/z 983.2816. The fragmentation patterns of these compounds mainly involve losses related to their glycosidic components. Indeed, the fragmentation spectra analysis of compound 38 revealed a fragment at m/z 837 ([M-H-C6H10O4]), corresponding to the loss of a rhamnose unit. These metabolites have not been previously detected within the Alkanna genus. Proposed fragmentation patterns of trigonotin B/rupestrin A (33) and pulmonarioside C/echiumin E (38) can be found in Figure S2.

4.1.2. Flavonoids and Flavonoid Glycosides

A total of 27 flavonoids were annotated, including eight flavonols and 19 flavonol O-glycosides. Nearly half of these were kaempferol derivatives, while the remainder included quercetin and other related compounds. Kaempferol, quercetin, and isorhamnetin were reported as the main flavonoids in the Boraginoideae [79], which is consistent with findings in Alkanna species. In particular, kaempferol and quercetin 3-O-glycosides, 3-O-rutinosides, as well as 3-O-acetyl glycosides, were identified [12,40].
Kaempferol Derivatives
Compound 40 exhibited a precursor ion at m/z 285.0396 and fragment ions at m/z 255 and at m/z 227, consistent with kaempferol’s fragmentation pattern [61]. Although various kaempferol glycosides were found in Alkanna, the aglycone of kaempferol is detected for the first time in the genus. However, its methyl ether derivative (compound 41) has been reported in several Alkanna species [12,40], exhibiting a parent ion at m/z 299.0548 and a common MS/MS pattern with compound 40 [61].
Regarding kaempferol-glycosides, all detected compounds were assigned as O-glycosides exhibiting multiple variations. The analysis of the fragmentation spectra for most of these metabolites revealed characteristic fragment ions at m/z 285 and/or 284, corresponding to kaempferol [61] and additional neutral losses of acetyl (−42 Da), hexose (−162 Da), and deoxyhexose (−146 Da) moieties. Accordingly, 42 and 43 were identified as O-hexosides of kaempferol, exhibiting a deprotonated ion [M-H] at m/z 447 and typical fragment ions at m/z 284 and/or m/z 285, corresponding to the loss of a hexose unit. Their isolation further confirmed both the nature and the position of the sugar substituents as 3-O-β-glucoside and 3-O-β-galactoside, respectively.
Compound 47 was putatively identified as kaempferol-O-malonyl hexoside. Its fragmentation pattern involved the decarboxylation of malonic acid at m/z 489, followed by the loss of the remaining acetylated hexose at m/z 285. Compound 48 was annotated as the methyl ester of 47, kaempferol-O-malonyl-methyl ester-hexoside, showing a precursor ion at m/z 547.1107. The fragmentation spectra analysis revealed several key ions at m/z 515, derived from methyl ester cleavage; at m/z 489, resulting from the fragmentation of the malonyl methyl ester to form the deprotonated kaempferol acetyl hexoside; at m/z 471, which arises from subsequent water loss; at m/z 447, indicating the loss of the malonyl methyl ester; and the ion at m/z 285 that matches with the kaempferol aglycon. The presence of the fragment ion at m/z 101, corresponding to the dehydrated methyl malonate ester, further confirms our hypothesis (Figure 2). To our knowledge, the malonyl methyl ester glycoside of kaempferol (48) is reported for the first time in the literature. O-glycosides of flavonols, such as quercetin and kaempferol, and particularly 3-O-glycosides, are abundant in alkanet plants [12,13,40]. In addition, O-acylation of sugar moieties is a common modification in flavonoids and anthocyanins, involving ester-linked aromatic (e.g., coumaroyl, caffeoyl) or aliphatic acyl groups [82]. Malonylation, one of the most common aliphatic forms of acylation, is critical for stabilizing labile structures, modulating lipophilicity, and protecting glycosyl groups from enzymatic degradation [83]. Across various species in the Boraginaceae family, the 6′′-O-malonylation is the most prevalent modification observed [84,85]. In Pulmonaria officinalis, kaempferol and quercetin 3-O-(6′′-O-malonyl)-glycosides were found [50], while, in Nemophila menziesii’s blue flowers, the presence of petunidin derivatives and apigenin with malonyl groups at the 6-O position of glucose residues has been reported [86].
Compound 52 was tentatively identified as kaempferol-O-caffeoyl-hexoside, showing a precursor ion at m/z 609.1264. In the MS/MS spectra, fragment ions were observed at m/z 447, corresponding to the kaempferol hexoside after the loss of a caffeoyl moiety; at m/z 323, corresponding to the dehydrated caffeoyl hexoside; and at m/z 285, which matches the kaempferol aglycon (Figure S3). The caffeoylation of flavonoid glycosides predominantly targets the sugar moiety, with most studies focusing on anthocyanins rather than other flavonoids [84,85]. Reported caffeoyl flavonol glycosides—primarily kaempferol and quercetin derivatives—are sporadically documented in the Asteraceae, Rosaceae, and Ranunculaceae families, with acylation sites varying across the sugar moiety [85,87,88,89]. Notably, the flavonoid kaempferol 3-O-(2′′-O-caffeoyl-6′′-O-acetyl)-β-D-glucopyranoside, isolated from Tournefortia sibirica, represents the first such derivative in the Boraginaceae family [90]. Based on these findings, the esterification site of the caffeoyl moiety of compound 52 remains to be determined.
Quercetin Derivatives
Compound 53 was identified as quercetin, exhibiting a parent ion at m/z 301.0346 and characteristic fragment ions at m/z 179, 151, and 107 [66]. Similarly, one O-hexoside (54) was isolated and identified as quercetin-3-O-β-glucoside, and two O-acetyl-hexosides (55, 56) of quercetin were also detected in AC extract. All of them exhibited characteristic fragment ions at m/z 300 or m/z 301, corresponding to quercetin aglycon [66]. Compound 57 was identified as the quercetin-O-malonyl-hexoside, with no previous reports in the Alkanna genus. It exhibited a fragmentation pattern similar to that of compound 47, which involved the decarboxylation of malonic acid, followed by the loss of the remaining acetylated hexose from the quercetin aglycone, resulting in ions at m/z 505 and 301 (Figure S3). Compound 58 was identified as rutin, with a precursor ion at m/z 609.1438 and a characteristic fragment ion at m/z 300 formed by the loss of the rutinose, already reported in A. orientalis, A. tinctoria, and A. kotschyana [12].
Other Flavonoid Derivatives
Compounds 59, 6163 also correspond to flavonoids showing different degrees of hydroxylation and methylation, and their presence has been reported in several Alkanna species [12,40]. Compound 60 was characterized as isorhamnetin. In the MS/MS spectra, the fragment ion at m/z 300 ([M-H-CH3]) corresponded to the loss of a methyl group, while the abundance of the ion at m/z 271 ([M-H-CH3-CO]), resulting from demethylation combined with the loss of CO at position 3 of the C-ring, distinguished it from its isomeric flavonol rhamnetin [68]. Compound 64 was identified as a myricetin-O-hexoside, showing a parent ion at m/z 479.0863. In the MS/MS spectrum, the main fragment ion at m/z 317 ([M-H-162]) corresponded to the aglycon of myricetin, following the loss of a hexose unit [69]. Furthermore, the O-hexosides of dimethoxy-trihydroxy (65) and trihydroxy-trimethoxy (66) flavones were tentatively identified by the observed fragment ions at m/z 329 ([M-H-162]) and at m/z 359 ([M-H-162]), respectively. Compound 66 has also been reported in A. tubulosa [40].

4.2. Molecular Network

The chemical profiling of AC was complemented by molecular networking analysis using the GNPS2 platform, integrated with CANOPUS-derived chemical class predictions, in order to map the diversity of secondary metabolites. While manual interpretation of MS and MS/MS fragmentation patterns remained central for compound identification, the GNPS-generated molecular network provided valuable insights into the chemical diversity and supported the dereplication step of metabolites sharing structural similarities.
Confirming the findings of the dereplication process, the two predominant clusters corresponded to hydroxycinnamic acid derivatives and flavonoids (Figure 1). Notably, two distinct subgroups were identified within the flavonoid cluster, corresponding to quercetin and kaempferol derivatives. In contrast, the hydroxycinnamic acid cluster did not exhibit any distinct subgroup, despite most features aligning with caffeic acid derivatives. This may be attributed to the diverse fragmentation patterns among caffeoyl oligomers, unlike flavonoids, which display significant similarity, particularly in the aglycone part. Nevertheless, compounds 31 (sebestenoid E) and 32 (lithospermic acid B), which share the same 2-aryl-benzofuran core structure, formed a small, distinct cluster.

4.3. PA Analysis

Among the detected PAs, three were tentatively identified as 1,2-saturated trachelanthamidine/isoretronecanol-type (PA 1, 3, 5) [78]. PA3, with a precursor ion at m/z 240.1594, was identified as 9-sarracinoyl- trachelanthamidine/isoretronecanol. The presence of the product ion at m/z 142 in MS/MS spectra corresponded to the necine base trachelanthamidine formed by the cleavage of the weak allylic ester bond at C9 and the subsequent loss of the sarracinoyl moiety (C5H7O2) (Figure 3). PA5, with a [M + H] + ion at m/z 304.1758, was identified as a trachelanthamidine/isoretronecanol-hexoside. The presence of the fragment ion at m/z 142 in MS/MS spectra resulted from the loss of a hexose unit (m/z −162) (Figure 3). To our knowledge, the sarracinoyl ester PA3 and the hexoside of trachelanthamidine/isoretronecanol PA5 are reported for the first time in the literature.
PA2 was tentatively identified as the 1,2-saturated necine base, platynecine. It showed a precursor ion at m/z 158.1166 [M + H]+ and the characteristic fragment ions at m/z 122 and 140, both representing platynecine’s core structure [78]. Platynecine has already been reported in several Alkanna spp. (A.tinctoria, A. hellenica, A. graeca, A. sfikasiana) [17].
Retronecine-type and their respective N-oxides represented the majority of detected PAs. They were further classified into two subtypes (monoesters and open-chain diesters), based on the degree of esterification at positions 7 and 9. All PAs of this type shared a common fragment ion at m/z 138, except for the N-oxide of dihydroxy triangularine (PA9), which showed a fragment at m/z 136, typical of diester N-oxides [91]. Further characteristic fragment ions related to RETNO monoesters (leptanthine-N-oxide, PA7) and to RETNO open chain diesters (dihydroxy triangularine-N-oxide, PA9) were observed at m/z 172 and at m/z 254, respectively. RET monoesters showed a characteristic fragment ion at m/z 156, while both RET monoesters and diesters shared a common fragment ion at m/z 120. Fragmentation data were in good agreement with previously reported patterns for retronecine-type PAs and PANOs [17,91].
Among RET derivatives, PA4 was tentatively identified as retronecine pentoside. It showed a precursor ion at m/z 288.1435 [M + H]+ and fragment ions at m/z 138, related to the loss of a pentose unit, and at m/z 156 and m/z 120, consistent with the retronecine core structure (Figure 3) [92]. PA4 is reported for the first time in the literature, while its N-oxide (retronecine-N-oxide pentoside) has been recently reported in Alkanna species [17]. In addition, compounds PA6 (leptanthine) and PA7 (leptanthine-N-oxide), previously found in species such as Onosma leptantha [93], represent new reports within Alkanna spp., unlike dihydroxy triangularine (PA8) and its N-oxide (PA9), as well as 7-senecioyl-9-(3-acetoxy-2-hydroxy-2-methylbutyryl) retronecine N-oxide (PA10), which have been previously reported in several alkanet species [16,17].
Glycosidic PAs are relatively rare in the literature. Thesinine glycosides were described from Borago officinalis and Tephroseris kirilowii, while retrorsine and its N-oxide glycosides, alongside senecionine and seneciphylline hexosides, were reported from Senecio vulgaris [94]. More recently, PA analysis of A. graeca, A. hellenica, A. tinctoria, A. sfikasiana, Eupatorium cannabinum, and S. vulgaris revealed the presence of a wide range of glycosidic PAs, mainly related to retronecine N-oxide hexosides [17].

4.4. Evaluation of TPC and TFC

As presented in Table 3, TPC was found to be 74.45 mg GAE/g extract, while TFC was 46.66 mg RE/g extract. These results are comparable to those obtained from the aerial parts of Alkanna species, although extraction techniques appear to significantly influence these quantitative data. Different extracts of A. trichophila displayed TPC values ranging from 34.9 to 53.4 mg GAE/g and TFC values between 30.8 and 69.6 mg RE/g, while extracts of A. tubulosa had TPC values between 22.5–93.3 mg GAE/g, with corresponding TFC values ranging from 7.14 to 20.1 mg RE/g [40,75]. The methanolic extracts of A. tinctoria, A. kotschyana, and A. orientalis showed TPC values ranging from 34.9 to 53.4 mg GAE/g and TFC values between 15.97 and 25.90 mg RE/g [12]. Comparing the results of the current study with those referred to in the literature, it is evident that AC is characterized by a high content of both phenolics and flavonoids.

4.5. Evaluation of Biological Activity

4.5.1. Antioxidant Activity

Under various physicochemical conditions or pathological states, the body produces free radicals and reactive oxygen and nitrogen species, which, when excessive, lead to oxidative stress. This imbalance is associated with diseases such as atherosclerosis, inflammation, certain cancers, and aging. Natural antioxidants can neutralize free radicals and prevent further cellular damage [95].
The methanolic extract of AC exhibited considerable antioxidant activity (Table 4). When compared to other species within the genus that have undergone similar evaluations, AC exhibited the highest radical scavenging activities. Indeed, AC values for DPPH (227.01 mg TE/g) and ABTS (450.91 mg TE/g) were significantly higher than those of A. tinctoria, previously reported with the highest radical scavenging activity among related species (DPPH 211.6 mg TE/g; ABTS 366.9 mg TE/g) [12]. Similarly, A. trichophilla and A. tubulosa demonstrated a range of antioxidant capacities across different extracts considerably lower than those found in AC [40,75]. Regarding FRAP, CUPRAC, and phosphomolybdenum assays, AC exhibited values of 365.59 mg TE/g extract for FRAP, 462.42 mg TE/g extract for CUPRAC, and 2.11 mmol TE/g extract for the phosphomolybdenum assay. Among the species examined in similar studies, comparable or lower values were detected [12,40,75]. Finally, the AC exhibited a metal chelating capacity of 7.91 mg EDTAE/g. In comparison to the potential of the methanolic extract of A. orientalis (19.11 mg EDTAE/g), it showed a significantly lower metal chelating capacity [12]. Similarly, extracts from A. tubulosa and A. trichophilla demonstrated substantial metal chelation abilities, with values 8.71 to 20.57 mg EDTAE/g extract, and 17.51 to 19.84 mg EDTAE/g extract, respectively [40,75].
The antioxidant activity can be primarily associated with the presence of PCs [96]. The high phenolic and flavonoid content observed in the AC extract likely explains the strong antioxidant activities.

4.5.2. Enzyme Inhibitory Activity

AChE and BChE play a crucial role in the pathophysiology of Alzheimer’s disease (AD). In AD, the accumulation of intraneuronal β-amyloid (Aβ) leads to the degeneration of basal forebrain cholinergic neurons, reducing acetylcholine (ACh) levels, which, in turn, results in memory deficits [97]. Inhibiting AChE and BChE—catabolic enzymes that degrade ACh—can help counteract this deficiency. The AC extract exhibited inhibitory activities of 1.43 mg GALAE/g for AChE and 0.38 mg GALAE/g for BChE (Table 5). These results are comparable to those reported for A. tinctoria and A. kotschyana [12]. In contrast, methanolic extracts of A. trichophila showed higher inhibition values both for AChE of (2.70 mg GALAE/g) and BChE (5.53 mg GALAE/g) [75]. Meanwhile, A. tubulosa, which was tested across different extracts, displayed inhibitory values ranging from 3.36 to 3.48 and 3.29 to 15.19 mg GALAE/g extract for AChE and BChE, respectively, with the highest activity observed in the ethanolic extract [40].
α-Amylase and α-glucosidase are pivotal enzymes involved in carbohydrate metabolism. The excessive activity of these enzymes leads to a disturbance in the absorption of glucose and its accumulation in the blood [98]. Plant extracts that inhibit these enzymes represent valuable sources of compounds with a promising therapeutic potential for preventing and treating diabetes. The AC extract exhibited inhibitory activities of 0.47 and 6.65 mmol ACAE/g extract for the α-amylase and α-glucosidase, respectively (Table 5). The inhibition of α-amylase by AC was comparable to values reported in the literature. Extracts of A. trichophila showed inhibition ranging from 0.33 to 0.69 mmol ACAE/g, with the highest activity observed in the methanolic extract [67]. The ethyl acetate extract of A. tubulosa showed an inhibition of 0.50 mmol ACAE/g, while methanolic extracts of A. orientalis, A. tinctoria, and A. kotschyana exhibited values between 0.45 and 0.61 mmol ACAE/g, with the highest value corresponding to A. orientalis [12,40,75]. However, AC exhibited considerably strong inhibition against α-glucosidase, which was similar only to that observed in A. orientalis (6.49 mmol ACAE/g extract), unlike related species that exhibited inhibition of 3.69–4.46 mmol ACAE/g extract [12].
The presence of PCs such as rosmarinic acid and quercetin glycosides may be associated with the enhanced inhibition of α-glucosidase, since they have been reported to interact with the enzyme [99,100]. On the other hand, 6-O-caffeoyl-hyperoside, along with other acylated flavonoids from the Spiraea genus, has been identified as an inhibitor of α-amylase activity [87]. The presence of multiple acylated flavonoids in the AC extract may be associated with the observed inhibitory effect on this enzyme.

5. Conclusions

In this study, a comprehensive phytochemical analysis of the aerial parts of AC was performed, identifying PCs and PAs as the predominant chemical classes. The rich phenolic profile is consistent with previous reports on other Alkanna species. Utilizing an untargeted MS approach allowed the detection of novel compounds, highlighting its value in studying unexplored species and enabling the discovery of previously unknown metabolites that merit further investigation through targeted analyses. Despite methodological differences among studies on Alkanna species, comparative analysis with the existing literature provides a valuable context for understanding the phytochemical diversity of AC. The evaluation of antioxidant and enzyme inhibitory activities demonstrated the interesting bioactivity of the AC extract, indicating its potential health benefits. Optimizing extraction methods could yield extracts with enhanced potency, provided that PA levels are controlled to comply with EU safety standards for human exposure.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/scipharm93030045/s1. Table S1: Parameters applied during data processing in the MZMine4/MZIO workflow; Figure S1: MS/MS spectra of caffeoyl trimers and proposed fragmentation patterns: Υunnaneic acid D (compound 25), Υunnaneic acid E (compound 29); Figure S2: MS/MS spectra of caffeoyl tetramers and proposed fragmentation patterns: Trigonotin B/Rupestrin A (compound 33), Pulmonarioside C/Echiumin E (compound 38); Figure S3: MS/MS spectra of flavonoid glycosides and proposed fragmentation patterns: Kaempferol 3-O-caffeoyl hexoside (compound 52), Quercetin-3-O-malonyl hexoside (compound 57); 1H-NMR data of the isolated compounds.

Author Contributions

Conceptualization, I.C. and G.Z.; methodology, E.P., N.T., G.Z., C.G. and K.G.; software, E.P. and N.T.; validation, E.P., N.T. and G.Z.; formal analysis, E.P., N.T., G.Z., K.G. and C.G.; investigation, E.P., C.G., N.T., G.Z., N.F. and K.G.; resources, E.P., C.G. and N.F.; data curation, E.P., N.T. and C.G.; writing—original draft preparation, E.P. and N.T.; writing—review and editing, I.C., N.F. and K.G.; visualization, E.P. and N.T.; supervision, I.C.; project administration, I.C. and N.F.; funding acquisition, I.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

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

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ACAlkanna corcyrensis
PCsPhenolic compounds
PAsPyrrolizidine alkaloids
PANOsPyrrolizidine alkaloid-N-oxides
SPESolid-phase extraction
ACNAcetonitrile
FAFormic acid
HILICHydrophilic Interaction Liquid Chromatography
PLATPlatynecine type alkaloid
RETRetronecine type alkaloid
RETNORespective N-oxides type alkaloid
TRATrachelanthamidine type alkaloid
AChEAcetylcholinesterase
BChEButyrylcholinesterase
DPPH2,2-Diphenyl-1-Picrylhydrazyl
ABTS2,2′-Azino-bis-3-ethylbenzothiazoline-6-sulfonic acid
TETrolox Equivalents
RERutin Equivalents
GAEGallic Acid Equivalents
UHPLC-ESI-Q-TOF–MS/MSUltra-High-Performance Liquid Chromatography-Electrospray Ionization-Quadrupole Time-of-Flight Tandem Mass Spectrometry
CUPRACCupric Ion Reducing Antioxidant Capacity
FRAPFerric Reducing Antioxidant Power
TPCTotal Phenolic Content
TFCTotal Flavonoid Content
FBMNFeature-based Molecular Network
GNPSGlobal Natural Products Social Molecular Networking

References

  1. World Flora Online WFO Plant List. World Flora Online. Taxon: WFO 7000000079. Available online: https://wfoplantlist.org/taxon/wfo-4000001217-2023-12 (accessed on 5 January 2025).
  2. Strid, A. Alkanna Tausch. In Mountain Flora of Greece, 2nd ed.; Strid, A., Tan, K., Eds.; Edinburgh University Press: Edinburgh, UK, 1991; pp. 39–41. [Google Scholar]
  3. Dimopoulos, P.; Raus, T.; Bergmeier, E.; Constantinidis, T.; Iatrou, G.; Kokkini, S.; Strid, A.; Tzanoudakis, D. Vascular Plants of Greece: An Annotated Checklist; Botanic Garden and Botanical Museum Berlin-Dahlem: Berlin, Germany, 2013; p. 372. [Google Scholar]
  4. Hayek, A. Prodromus Florae Peninsulae Balcanicae. 2. Band: Dicotyledoneae Sympetalae. In Repertorium Specierum Novarum Regni Vegetabilis Beihefte; Verlag des Repertoriums: Berlin, Germany, 1928; Volume 30, p. 71. [Google Scholar]
  5. Abdel-Gelil, O.E.; Atwa, N.A.; Moustafa, A.R.A.; Mansour, S.R. Alkanna Species: A Promising Herbal Medicine and Its Uses. J. Food Sci. Nutr. Res. 2018, 2, 309–315. [Google Scholar] [CrossRef]
  6. Nikolova, M.; Aneva, I.; Zhelev, P.; Semerdjieva, I.; Zheljazkov, V.D.; Vladimirov, V.; Stoyanov, S.; Berkov, S.; Yankova-Tsvetkova, E. Metabolic Profiles, Genetic Diversity, and Genome Size of Bulgarian Population of Alkanna tinctoria. Plants 2022, 12, 111. [Google Scholar] [CrossRef] [PubMed]
  7. Assimopoulou, A.N.; Papageorgiou, V.P. Radical Scavenging Activity of Alkanna tinctoria Root Extracts and Their Main Constituents, Hydroxynaphthoquinones. Phytother. Res. 2005, 19, 141–147. [Google Scholar] [CrossRef]
  8. Khan, U.A.; Rahman, H.; Qasim, M.; Hussain, A.; Azizllah, A.; Murad, W.; Khan, Z.; Anees, M.; Adnan, M. Alkanna tinctoria Leaves Extracts: A Prospective Remedy against Multidrug Resistant Human Pathogenic Bacteria. BMC Complement. Altern. Med. 2015, 15, 127. [Google Scholar] [CrossRef]
  9. Assimopoulou, A.N.; Karapanagiotis, I.; Vasiliou, A.; Kokkini, S.; Papageorgiou, V.P. Analysis of Alkannin Derivatives from Alkanna Species by High-Performance Liquid Chromatography/Photodiode Array/Mass Spectrometry. Biomed. Chromatogr. 2006, 20, 1359–1374. [Google Scholar] [CrossRef]
  10. Tappeiner, J.; Vasiliou, A.; Ganzera, M.; Fessas, D.; Stuppner, H.; Papageorgiou, V.P.; Assimopoulou, A.N. Quantitative Determination of Alkannins and Shikonins in Endemic Mediterranean Alkanna Species. Biomed. Chromatogr. 2014, 28, 923–933. [Google Scholar] [CrossRef] [PubMed]
  11. Ezzaitouni, M.; Chileh-Chelh, T.; Rincón-Cervera, M.Á.; Gómez-Mercado, F.; Benteima, H.; López-Ruiz, R.; Guil-Guerrero, J.L. Biocompounds and Bioactivities of Selected Greek Boraginaceae Seeds. Appl. Sci. 2024, 14, 6026. [Google Scholar] [CrossRef]
  12. Ganos, C.; Zengin, G.; Chinou, I.; Aligiannis, N.; Graikou, K. Phytochemical Profiling and Biological Assessment of the Aerial Parts from Three Mediterranean Alkanna Species (A. orientalis, A. tinctoria, A. kotschyana) in the Boraginaceae Family. Plants 2024, 13, 278. [Google Scholar] [CrossRef]
  13. ElSohly, H.; El-Feraly, F.; Joshi, A.; Walker, L. Antiviral Flavonoids from Alkanna orientalis. Planta Medica 1997, 63, 384. [Google Scholar] [CrossRef]
  14. Kopp, T.; Abdel-Tawab, M.; Mizaikoff, B. Extracting and Analyzing Pyrrolizidine Alkaloids in Medicinal Plants: A Review. Toxins 2020, 12, 320. [Google Scholar] [CrossRef]
  15. El-Shazly, A.; Wink, M. Diversity of Pyrrolizidine Alkaloids in the Boraginaceae: Structures, Distribution, and Biological Properties. Diversity 2014, 6, 188–282. [Google Scholar] [CrossRef]
  16. Semerdjieva, I.; Petrova, G.; Yankova-Tsvetkova, E.; Doncheva, T.; Kostova, N.; Nikolova, R.; Zheljazkov, V.D. Genetic Diversity, Reproductive Capacity and Alkaloids Content in Three Endemic Alkanna Species. PLoS ONE 2020, 15, e0233516. [Google Scholar] [CrossRef] [PubMed]
  17. Tsiokanos, E.; Tsafantakis, N.; Obé, H.; Beuerle, T.; Leti, M.; Fokialakis, N.; Grondin, A. Profiling of Pyrrolizidine Alkaloids Using a Retronecine-Based Untargeted Metabolomics Approach Coupled to the Quantitation of the Retronecine-Core in Medicinal Plants Using UHPLC-QTOF. J. Pharm. Biomed. Anal. 2023, 224, 115171. [Google Scholar] [CrossRef] [PubMed]
  18. Lis-Cieplak, A.; Trześniowska, K.; Stolarczyk, K.; Stolarczyk, E.U. Pyrrolizidine Alkaloids as Hazardous Toxins in Natural Products: Current Analytical Methods and Latest Legal Regulations. Molecules 2024, 29, 3269. [Google Scholar] [CrossRef] [PubMed]
  19. Colegate, S.M.; Edgar, J.A.; Knill, A.M.; Lee, S.T. Solid-Phase Extraction and HPLC-MS Profiling of Pyrrolizidine Alkaloids and their N-Oxides: A Case Study of Echium Plantagineum. Phytochem. Anal. 2005, 16, 108–119. [Google Scholar] [CrossRef]
  20. Council of Europe. European Pharmacopoeia, PAs Eur Pharm. 20826E, 11th ed.; Deutscher Apotheker Verlag: Stuttgart, Germany, 2022; ISBN 978-3-7692-8026-5. [Google Scholar]
  21. Perez De Souza, L.; Alseekh, S.; Naake, T.; Fernie, A. Mass Spectrometry-Based Untargeted Plant Metabolomics. Curr. Protoc. Plant Biol. 2019, 4, e20100. [Google Scholar] [CrossRef]
  22. Bauermeister, A.; Mannochio-Russo, H.; Costa-Lotufo, L.V.; Jarmusch, A.K.; Dorrestein, P.C. Mass Spectrometry-Based Metabolomics in Microbiome Investigations. Nat. Rev. Microbiol. 2022, 20, 143–160. [Google Scholar] [CrossRef]
  23. Zhao, X.; Hengchao, E.; Dong, H.; Zhang, Y.; Qiu, J.; Qian, Y.; Zhou, C. Combination of Untargeted Metabolomics Approach and Molecular Networking Analysis to Identify Unique Natural Components in Wild Morchella Sp. by UPLC-Q-TOF-MS. Food Chem. 2022, 366, 130642. [Google Scholar] [CrossRef]
  24. Aron, A.T.; Gentry, E.C.; McPhail, K.L.; Nothias, L.-F.; Nothias-Esposito, M.; Bouslimani, A.; Petras, D.; Gauglitz, J.M.; Sikora, N.; Vargas, F.; et al. Reproducible Molecular Networking of Untargeted Mass Spectrometry Data Using GNPS. Nat. Protoc. 2020, 15, 1954–1991. [Google Scholar] [CrossRef]
  25. Schrimpe-Rutledge, A.C.; Codreanu, S.G.; Sherrod, S.D.; McLean, J.A. Untargeted Metabolomics Strategies—Challenges and Emerging Directions. J. Am. Soc. Mass Spectrom. 2016, 27, 1897–1905. [Google Scholar] [CrossRef]
  26. Tufa, T.; Damianakos, H.; Zengin, G.; Graikou, K.; Chinou, I. Antioxidant and Enzyme Inhibitory Activities of Disodium Rabdosiin Isolated from Alkanna sfikasiana Tan, Vold and Strid. S. Afr. J. Bot. 2019, 120, 157–162. [Google Scholar] [CrossRef]
  27. Panou, E.; Zengin, G.; Milic, N.; Ganos, C.; Graikou, K.; Chinou, I. A Comparative UPLC/HRMS Molecular Networking-Enhanced Study on the Phenolic Profiles and Bioactivities of Three Medicinally Significant Species of Onosma (Boraginaceae). Plants 2024, 13, 3468. [Google Scholar] [CrossRef] [PubMed]
  28. Varvouni, E.-F.; Zengin, G.; Graikou, K.; Ganos, C.; Mroczek, T.; Chinou, I. Chemical Profile and Biological Properties of the Endemic Turkish Species Phyllocara aucheri. S. Afr. J. Bot. 2021, 137, 340–344. [Google Scholar] [CrossRef]
  29. Yan, K.-J.; Chu, Y.; Huang, J.-H.; Jiang, M.-M.; Li, W.; Wang, Y.-F.; Huang, H.-Y.; Qin, Y.-H.; Ma, X.-H.; Zhou, S.-P.; et al. Qualitative and Quantitative Analyses of Compound Danshen Extract Based on 1 H NMR Method and Its Application for Quality Control. J. Pharm. Biomed. Anal. 2016, 131, 183–187. [Google Scholar] [CrossRef]
  30. Risikobewertung, B.F. Aktualisierte Risikobewertung zu Gehalten an 1,2-ungesättigten Pyrrolizidinalkaloiden (PA) in Lebensmitteln: Stellungnahme Nr. 026/2020 des BfR vom 17. Juni 2020. BfR-Stellungnahmen 2020, 2020, 26. [Google Scholar] [CrossRef]
  31. Chambers, M.C.; Maclean, B.; Burke, R.; Amodei, D.; Ruderman, D.L.; Neumann, S.; Gatto, L.; Fischer, B.; Pratt, B.; Egertson, J.; et al. A Cross-Platform Toolkit for Mass Spectrometry and Proteomics. Nat. Biotechnol. 2012, 30, 918–920. [Google Scholar] [CrossRef]
  32. Adusumilli, R.; Mallick, P. Data Conversion with ProteoWizard msConvert. In Proteomics; Comai, L., Katz, J.E., Mallick, P., Eds.; Methods in Molecular Biology; Springer: New York, NY, USA, 2017; Volume 1550, pp. 339–368. ISBN 978-1-4939-6745-2. [Google Scholar]
  33. Nothias, L.-F.; Petras, D.; Schmid, R.; Dührkop, K.; Rainer, J.; Sarvepalli, A.; Protsyuk, I.; Ernst, M.; Tsugawa, H.; Fleischauer, M.; et al. Feature-Based Molecular Networking in the GNPS Analysis Environment. Nat. Methods 2020, 17, 905–908. [Google Scholar] [CrossRef]
  34. Wang, M.; Carver, J.J.; Phelan, V.V.; Sanchez, L.M.; Garg, N.; Peng, Y.; Nguyen, D.D.; Watrous, J.; Kapono, C.A.; Luzzatto-Knaan, T.; et al. Sharing and Community Curation of Mass Spectrometry Data with Global Natural Products Social Molecular Networking. Nat. Biotechnol. 2016, 34, 828–837. [Google Scholar] [CrossRef]
  35. Dührkop, K.; Fleischauer, M.; Ludwig, M.; Aksenov, A.A.; Melnik, A.V.; Meusel, M.; Dorrestein, P.C.; Rousu, J.; Böcker, S. SIRIUS 4: A Rapid Tool for Turning Tandem Mass Spectra into Metabolite Structure Information. Nat. Methods 2019, 16, 299–302. [Google Scholar] [CrossRef] [PubMed]
  36. Dührkop, K.; Shen, H.; Meusel, M.; Rousu, J.; Böcker, S. Searching Molecular Structure Databases with Tandem Mass Spectra Using CSI:FingerID. Proc. Natl. Acad. Sci. USA 2015, 112, 12580–12585. [Google Scholar] [CrossRef]
  37. Dührkop, K.; Nothias, L.-F.; Fleischauer, M.; Reher, R.; Ludwig, M.; Hoffmann, M.A.; Petras, D.; Gerwick, W.H.; Rousu, J.; Dorrestein, P.C.; et al. Systematic Classification of Unknown Metabolites Using High-Resolution Fragmentation Mass Spectra. Nat. Biotechnol. 2021, 39, 462–471. [Google Scholar] [CrossRef]
  38. Djoumbou Feunang, Y.; Eisner, R.; Knox, C.; Chepelev, L.; Hastings, J.; Owen, G.; Fahy, E.; Steinbeck, C.; Subramanian, S.; Bolton, E.; et al. ClassyFire: Automated Chemical Classification with a Comprehensive, Computable Taxonomy. J. Cheminformatics 2016, 8, 61. [Google Scholar] [CrossRef]
  39. Shannon, P.; Markiel, A.; Ozier, O.; Baliga, N.S.; Wang, J.T.; Ramage, D.; Amin, N.; Schwikowski, B.; Ideker, T. Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks. Genome Res. 2003, 13, 2498–2504. [Google Scholar] [CrossRef] [PubMed]
  40. Zengin, G.; Terzić, M.; Abul, N.; Gulcin, I.; Koyuncu, I.; Basarali, M.K.; Đorđević, T.; Cziáky, Z.; Jekő, J.; Cespedes- Acuna, C.L. A Multidimensional Study for Design Functional Foods: Chemical Profiling, Antioxidant Potential, Enzyme Inhibition, and Cytotoxic Effects of Alkanna tubulosa Extracts. Food Biosci. 2024, 60, 104280. [Google Scholar] [CrossRef]
  41. Kurt-Celep, I.; Zheleva-Dimitrova, D.; Sinan, K.I.; Uba, A.I.; Nilofar; Mahomoodally, M.F.; Aumeeruddy, M.Z.; Cakilcioglu, U.; Dall’Acqua, S.; Zengin, G. Uncovering Chemical Profiles, Biological Potentials, and Protection Effect against ECM Destruction in H2O2 -treated HDF Cells of the Extracts of Stachys tundjeliensis. Arch. Pharm. 2024, 357, 2300528. [Google Scholar] [CrossRef] [PubMed]
  42. Cho, J.-Y.; Lee, Y.G.; Lee, S.-H.; Kim, W.-S.; Park, K.-H.; Moon, J.-H. An Ether and Three Ester Derivatives of Phenylpropanoid from Pear (Pyrus pyrifolia Nakai Cv. Chuhwangbae) Fruit and Their Radical-Scavenging Activity. Food Sci. Biotechnol. 2014, 23, 253–259. [Google Scholar] [CrossRef]
  43. Cadahía, E.; Fernández De Simón, B.; Aranda, I.; Sanz, M.; Sánchez-Gómez, D.; Pinto, E. Non-targeted Metabolomic Profile of Fagus sylvatica L. Leaves Using Liquid Chromatography with Mass Spectrometry and Gas Chromatography with Mass Spectrometry. Phytochem. Anal. 2015, 26, 171–182. [Google Scholar] [CrossRef] [PubMed]
  44. Baky, M.H.; Badawy, M.T.; Bakr, A.F.; Hegazi, N.M.; Abdellatif, A.; Farag, M.A. Metabolome-Based Profiling of African Baobab Fruit (Adansonia digitata L.) Using a Multiplex Approach of MS and NMR Techniques in Relation to Its Biological Activity. RSC Adv. 2021, 11, 39680–39695. [Google Scholar] [CrossRef]
  45. Sun, B.; Jiang, H.; Wang, Z.-N.; Luo, H.-Z.; Jia, A.-Q. Phytochemical Constituents of Onosma bracteatum Wall. Phytochem. Lett. 2021, 45, 1–5. [Google Scholar] [CrossRef]
  46. Nguyen, T.-K.-O.; Jamali, A.; Grand, E.; Morreel, K.; Marcelo, P.; Gontier, E.; Dauwe, R. Phenylpropanoid Profiling Reveals a Class of Hydroxycinnamoyl Glucaric Acid Conjugates in Isatis tinctoria Leaves. Phytochemistry 2017, 144, 127–140. [Google Scholar] [CrossRef]
  47. Pedras, M.S.C.; Zheng, Q.-A.; Gadagi, R.S.; Rimmer, S.R. Phytoalexins and Polar Metabolites from the Oilseeds Canola and Rapeseed: Differential Metabolic Responses to the Biotroph Albugo candida and to Abiotic Stress. Phytochemistry 2008, 69, 894–910. [Google Scholar] [CrossRef] [PubMed]
  48. Beladjila, K.A.; Cotugno, R.; Berrehal, D.; Kabouche, Z.; De Tommasi, N.; Braca, A.; De Leo, M. Cytotoxic Triterpenes from Salvia buchananii Roots. Nat. Prod. Res. 2018, 32, 2025–2030. [Google Scholar] [CrossRef]
  49. Gravina, C.; Formato, M.; Piccolella, S.; Fiorentino, M.; Stinca, A.; Pacifico, S.; Esposito, A. Lavandula austroapennina (Lamiaceae): Getting Insights into Bioactive Polyphenols of a Rare Italian Endemic Vascular Plant. Int. J. Mol. Sci. 2023, 24, 8038. [Google Scholar] [CrossRef]
  50. Krzyżanowska-Kowalczyk, J.; Pecio, Ł.; Mołdoch, J.; Ludwiczuk, A.; Kowalczyk, M. Novel Phenolic Constituents of Pulmonaria officinalis L. LC-MS/MS Comparison of Spring and Autumn Metabolite Profiles. Molecules 2018, 23, 2277. [Google Scholar] [CrossRef]
  51. Lee, K.H.; Cho, J.-Y.; Lee, H.J.; Ma, Y.-K.; Kwon, J.; Park, S.H.; Lee, S.-H.; Cho, J.A.; Kim, W.-S.; Park, K.-H.; et al. Hydroxycinnamoylmalic Acids and Their Methyl Esters from Pear (Pyrus pyrifolia Nakai) Fruit Peel. J. Agric. Food Chem. 2011, 59, 10124–10128. [Google Scholar] [CrossRef]
  52. Pawłowska, K.A.; Baracz, T.; Skowrońska, W.; Piwowarski, J.P.; Majdan, M.; Malarz, J.; Stojakowska, A.; Zidorn, C.; Granica, S. The Contribution of Phenolics to the Anti-Inflammatory Potential of the Extract from Bolivian Coriander (Porophyllum ruderale subsp. ruderale). Food Chem. 2022, 371, 131116. [Google Scholar] [CrossRef]
  53. Hussein, H.M.; Abdel Kawy, M.A.; Eltanany, B.M.; Pont, L.; Benavente, F.; Fayez, A.M.; Alnajjar, R.; Al-Karmalawy, A.A.; Abdelmonem, A.R.; Mohsen, E. Cognitive-Enhancing Effect of Cordia dichotoma Fruit on Scopolamine-Induced Cognitive Impairment in Rats: Metabolite Profiling, in Vivo, and in Silico Investigations. RSC Adv. 2024, 14, 40267–40286. [Google Scholar] [CrossRef]
  54. Guo, Y.; Mao, R.; Zhang, Y.; Li, R.; Oduro, P.K.; Si, D.; Han, L.; Huang, Y.; Pan, G. An Integrated Strategy for the Systematic Chemical Characterization of Salvianolate Lyophilized Injection Using Four Scan Modes Based on the Ultra-High Performance Liquid Chromatography-Triple Quadrupole-Linear Ion Trap Mass Spectrometry. J. Pharm. Biomed. Anal. 2022, 215, 114769. [Google Scholar] [CrossRef]
  55. Razgonova, M.P.; Kon’kova, N.G.; Zakharenko, A.M.; Golokhvast, K.S. Polyphenols of Perilla frutescens of the Family Lamiaceae Identified by Tandem Mass Spectrometry. Vavilov J. Genet. Breed. 2022, 26, 637–644. [Google Scholar] [CrossRef] [PubMed]
  56. Fernández, L.; Cirigliano, A.; Fabani, M.; Lima, B.; Alberti, S.; Kramer, F.; Tapia, A.; Cabrera, G.; Palermo, J.; Sánchez, M. Antioxidant Neolignans from Cordia americana. Planta Medica 2013, 79, 1724–1729. [Google Scholar] [CrossRef] [PubMed]
  57. Kılınc, H.; D’Urso, G.; Paolillo, A.; Alankus, O.; Piacente, S.; Masullo, M. LC-MS and NMR Based Plant Metabolomics: A Comprehensive Phytochemical Investigation of Symphytum anatolicum. Metabolites 2023, 13, 1051. [Google Scholar] [CrossRef]
  58. Galasso, S.; Pacifico, S.; Kretschmer, N.; Pan, S.-P.; Marciano, S.; Piccolella, S.; Monaco, P.; Bauer, R. Influence of Seasonal Variation on Thymus longicaulis C. Presl Chemical Composition and Its Antioxidant and Anti-Inflammatory Properties. Phytochemistry 2014, 107, 80–90. [Google Scholar] [CrossRef] [PubMed]
  59. Otsuka, H.; Kuwabara, H.; Hoshiyama, H. Identification of Sucrose Diesters of Aryldihydronaphthalene-Type Lignans from Trigonotis peduncularis and the Nature of Their Fluorescence. J. Nat. Prod. 2008, 71, 1178–1181. [Google Scholar] [CrossRef] [PubMed]
  60. Xu, L.-L.; Xu, J.-J.; Zhong, K.-R.; Shang, Z.-P.; Wang, F.; Wang, R.-F.; Zhang, L.; Zhang, J.-Y.; Liu, B. Analysis of Non-Volatile Chemical Constituents of Menthae haplocalycis Herba by Ultra-High Performance Liquid Chromatography-High Resolution Mass Spectrometry. Molecules 2017, 22, 1756. [Google Scholar] [CrossRef]
  61. March, R.E.; Lewars, E.G.; Stadey, C.J.; Miao, X.-S.; Zhao, X.; Metcalfe, C.D. A Comparison of Flavonoid Glycosides by Electrospray Tandem Mass Spectrometry. Int. J. Mass Spectrom. 2006, 248, 61–85. [Google Scholar] [CrossRef]
  62. Okińczyc, P.; Widelski, J.; Nowak, K.; Radwan, S.; Włodarczyk, M.; Kuś, P.M.; Susniak, K.; Korona-Głowniak, I. Phytochemical Profiles and Antimicrobial Activity of Selected Populus spp. Bud Extracts. Molecules 2024, 29, 437. [Google Scholar] [CrossRef]
  63. Ahn, E.M.; Asamenew, G.; Kim, H.W.; Lee, S.H.; Yoo, S.-M.; Cho, S.-M.; Cha, Y.-S.; Kang, M.-S. Anti-Obesity Effects of Petasites japonicus (Meowi) Ethanol Extract on RAW 264.7 Macrophages and 3T3-L1 Adipocytes and Its Characterization of Polyphenolic Compounds. Nutrients 2020, 12, 1261. [Google Scholar] [CrossRef] [PubMed]
  64. Ruslay, S.; Abas, F.; Shaari, K.; Zainal, Z.; Maulidiani; Sirat, H.; Israf, D.A.; Lajis, N.H. Characterization of the Components Present in the Active Fractions of Health Gingers (Curcuma xanthorrhiza and Zingiber zerumbet) by HPLC–DAD–ESIMS. Food Chem. 2007, 104, 1183–1191. [Google Scholar] [CrossRef]
  65. Parejo, I.; Jáuregui, O.; Viladomat, F.; Bastida, J.; Codina, C. Characterization of Acylated Flavonoid-O-glycosides and Methoxylated Flavonoids from Tagetes maxima by Liquid Chromatography Coupled to Electrospray Ionization Tandem Mass Spectrometry. Rapid Commun. Mass Spectrom. 2004, 18, 2801–2810. [Google Scholar] [CrossRef]
  66. Navarro-Hoyos, M.; Arnáez-Serrano, E.; Quesada-Mora, S.; Azofeifa-Cordero, G.; Wilhelm-Romero, K.; Quirós-Fallas, M.I.; Alvarado-Corella, D.; Vargas-Huertas, F.; Sánchez-Kopper, A. Polyphenolic QTOF-ESI MS Characterization and the Antioxidant and Cytotoxic Activities of Prunus domestica Commercial Cultivars from Costa Rica. Molecules 2021, 26, 6493. [Google Scholar] [CrossRef]
  67. Wakui, V.G.; De Oliveira, V.M.; Keng Queiroz Júnior, L.H.; Alves De Oliveira, C.M.; Kato, L. Metabolic Profiling of Lomatozona artemisiifolia Baker Plants Grown in Vitro and Collected from Nature Using Molecular Networking and Chemometric Analysis. Nat. Prod. Res. 2024, 38, 4427–4434. [Google Scholar] [CrossRef] [PubMed]
  68. Justesen, U. Negative Atmospheric Pressure Chemical Ionisation Low-Energy Collision Activation Mass Spectrometry for the Characterisation of Flavonoids in Extracts of Fresh Herbs. J. Chromatogr. A 2000, 902, 369–379. [Google Scholar] [CrossRef]
  69. Rak, G.; Fodor, P.; Abrankó, L. Three-Step HPLC–ESI-MS/MS Procedure for Screening and Identifying Non-Target Flavonoid Derivatives. Int. J. Mass Spectrom. 2010, 290, 32–38. [Google Scholar] [CrossRef]
  70. Wojakowska, A.; Perkowski, J.; Góral, T.; Stobiecki, M. Structural Characterization of Flavonoid Glycosides from Leaves of Wheat (Triticum aestivum L.) Using LC/MS/MS Profiling of the Target Compounds. J. Mass. Spectrom. 2013, 48, 329–339. [Google Scholar] [CrossRef] [PubMed]
  71. Pang, H.-Q.; Guo, J.-X.; Yang, Y.; Xu, L.; Wang, J.; Yang, F.; Xu, Z.-B.; Huang, Y.-F.; Shi, W.; Lu, X.; et al. Elucidating the Chemical Interaction Effects of Herb Pair Danshen-Chuanxiong and Its Anti-Ischemic Stroke Activities Evaluation. J. Ethnopharmacol. 2024, 318, 117058. [Google Scholar] [CrossRef] [PubMed]
  72. Mekky, R.H.; Abdel-Sattar, E.; Segura-Carretero, A.; Contreras, M.D.M. Metabolic Profiling of the Oil of Sesame of the Egyptian Cultivar ’Giza 32’ Employing LC-MS and Tandem MS-Based Untargeted Method. Foods 2021, 10, 298. [Google Scholar] [CrossRef]
  73. Farag, M.A.; Gad, H.A.; Heiss, A.G.; Wessjohann, L.A. Metabolomics Driven Analysis of Six Nigella Species Seeds via UPLC-qTOF-MS and GC–MS Coupled to Chemometrics. Food Chem. 2014, 151, 333–342. [Google Scholar] [CrossRef]
  74. Lu, A.-J.; Lu, Y.-L.; Tan, D.-P.; Qin, L.; Ling, H.; Wang, C.-H.; He, Y.-Q. Identification of Pyrrolizidine Alkaloids in Senecio Plants by Liquid Chromatography-Mass Spectrometry. J. Anal. Methods Chem. 2021, 2021, 1957863. [Google Scholar] [CrossRef]
  75. Mahomoodally, M.F.; Zengin, G.; Sinan, K.I.; Ak, G.; Sadeer, N.B.; Angeloni, S.; Mustafa, A.M.; Caprioli, G.; Maggi, F.; Cakilcioglu, U.; et al. Two Medicinal Plants (Alkanna trichophila and Convolvulus galaticus) from Turkey: Chemical Characterization and Biological Perspectives. Chem. Biodivers. 2021, 18, e2100356. [Google Scholar] [CrossRef]
  76. Yusufbeyoğlu, S.; Baldemir Kılıç, A. An Overview of the Chemical Composition, Biological Activities and Traditional Uses of Genus Alkanna Tausch. J. Fac. Pharm. Ank. Univ. 2025, 49, 21. [Google Scholar] [CrossRef]
  77. López-Yerena, A.; Domínguez-López, I.; Vallverdú-Queralt, A.; Pérez, M.; Jáuregui, O.; Escribano-Ferrer, E.; Lamuela-Raventós, R.M. Metabolomics Technologies for the Identification and Quantification of Dietary Phenolic Compound Metabolites: An Overview. Antioxidants 2021, 10, 846. [Google Scholar] [CrossRef]
  78. Mädge, I.; Gehling, M.; Schöne, C.; Winterhalter, P.; These, A. Pyrrolizidine Alkaloid Profiling of Four Boraginaceae Species from Northern Germany and Implications for the Analytical Scope Proposed for Monitoring of Maximum Levels. Food Addit. Contam. Part A 2020, 37, 1339–1358. [Google Scholar] [CrossRef]
  79. Riedl, H. Boraginaceae. In Flora Malesiana-Series 1, Spermatophyta; Springer Nature: Berlin, Germany, 1997; Volume 13, pp. 43–144. [Google Scholar]
  80. Lu, Y.; Yeap Foo, L. Polyphenolics of Salvia—A Review. Phytochemistry 2002, 59, 117–140. [Google Scholar] [CrossRef]
  81. Suo, M.-R.; Yang, J.-S.; Liu, Q.-H. Lignan Oligosaccharide Esters from Eritrichium rupestre. J. Nat. Prod. 2006, 69, 682–684. [Google Scholar] [CrossRef]
  82. Davies, K.M. (Ed.) Plant Pigments and Their Manipulation. In Annual Plant Reviews; Blackwell: Oxford, UK, 2004; p. 97. ISBN 978-1-4051-1737-1. [Google Scholar]
  83. Liu, X.; Liu, Y.; Xu, X.; Huang, W.; Yan, Y.; Wang, Y.; Tian, W.; Mo, T.; Cui, X.; Li, J.; et al. Molecular characterization and structure basis of a malonyltransferase with both substrate promiscuity and catalytic regiospecificity from Cistanche tubulosa. Acta Pharm. Sin. B 2024, 14, 2333–2348. [Google Scholar] [CrossRef]
  84. Sendri, N.; Bhandari, P. Anthocyanins: A Comprehensive Review on Biosynthesis, Structural Diversity, and Industrial Applications. Phytochem. Rev. 2024, 23, 1913–1974. [Google Scholar] [CrossRef]
  85. Veitch, N.C.; Grayer, R.J. Flavonoids and Their Glycosides, Including Anthocyanins. Nat. Prod. Rep. 2008, 25, 555. [Google Scholar] [CrossRef] [PubMed]
  86. Tatsuzawa, F.; Toki, K.; Ohtani, Y.; Kato, K.; Saito, N.; Honda, T.; Mii, M. Floral Pigments from the Blue Flowers of Nemophila Menziesii ‘Insignis Blue’ and the Purple Flower of Its Variants. J. Jpn. Soc. Hortic. Sci. 2014, 83, 259–266. [Google Scholar] [CrossRef]
  87. Kashchenko, N.I.; Chirikova, N.K.; Olennikov, D.N. Acylated Flavonoids from Spiraea Genus as Inhibitors of α-Amylase. Russ. J. Bioorganic Chem. 2018, 44, 876–886. [Google Scholar] [CrossRef]
  88. Xie, Y.; Guo, Q.-S.; Wang, G.-S. Flavonoid Glycosides and Their Derivatives from the Herbs of Scorzonera austriaca Wild. Molecules 2016, 21, 803. [Google Scholar] [CrossRef]
  89. Opiyo, S.A. A Review of Chemical Compounds and Bioactivity of Conyza Species. IOSR J. Appl. Chem. 2023, 16, 36–48. [Google Scholar]
  90. Olennikov, D.N.; Kartashova, M.E.; Velichko, V.V.; Kruglov, D.S. New Flavonoids from Nonea rossica and tournefortia Sibirica. Chem. Nat. Compd. 2022, 58, 1021–1025. [Google Scholar] [CrossRef]
  91. Lo Piparo, E.; Christinat, N.; Badoud, F. From Structural Alerts to Signature Fragment Alerts: A Case Study on Pyrrolizidine Alkaloids. Chem. Res. Toxicol. 2023, 36, 213–229. [Google Scholar] [CrossRef]
  92. Ruan, J.; Li, N.; Xia, Q.; Fu, P.P.; Peng, S.; Ye, Y.; Lin, G. Characteristic Ion Clusters as Determinants for the Identification of Pyrrolizidine Alkaloid N-oxides in Pyrrolizidine Alkaloid–Containing Natural Products Using HPLC–MS Analysis. J. Mass. Spectrom. 2012, 47, 331–337. [Google Scholar] [CrossRef]
  93. Dreger, M.; Stanisławska, M.; Krajewska-Patan, A.; Mielcarek, S.; Mikołajczak, P.Ł.; Buchwald, W. Pyrrolizidine Alkaloids—Chemistry, Biosynthesis, Pathway, Toxicity, Safety and Perspectives of Medicinal Usage. Herba Pol. 2009, 55, 127–147. [Google Scholar]
  94. Larcher, R.; Nardin, T. Suspect Screening of Glycoalkaloids in Plant Extracts Using Neutral Loss—High Resolution Mass Spectrometry. J. Chromatogr. A 2019, 1596, 59–68. [Google Scholar] [CrossRef]
  95. Akbari, B.; Baghaei-Yazdi, N.; Bahmaie, M.; Mahdavi Abhari, F. The Role of Plant-derived Natural Antioxidants in Reduction of Oxidative Stress. BioFactors 2022, 48, 611–633. [Google Scholar] [CrossRef] [PubMed]
  96. Zeb, A. Concept, Mechanism, and Applications of Phenolic Antioxidants in Foods. J. Food Biochem. 2020, 44, e13394. [Google Scholar] [CrossRef] [PubMed]
  97. Calabrò, M.; Rinaldi, C.; Santoro, G.; Crisafulli, C. Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy the Biological Pathways of Alzheimer Disease: A Review. AIMS Neurosci. 2021, 8, 86–132. [Google Scholar] [CrossRef] [PubMed]
  98. Gupta, A.; Behl, T.; Sachdeva, M. Key Milestones in the Diabetes Research: A Comprehensive Update. Obes. Med. 2020, 17, 100183. [Google Scholar] [CrossRef]
  99. Lee, D.; Park, J.; Lee, S.; Kang, K. In Vitro Studies to Assess the α-Glucosidase Inhibitory Activity and Insulin Secretion Effect of Isorhamnetin 3-O-Glucoside and Quercetin 3-O-Glucoside Isolated from Salicornia herbacea. Processes 2021, 9, 483. [Google Scholar] [CrossRef]
  100. Rasouli, H.; Hosseini-Ghazvini, S.M.-B.; Adibi, H.; Khodarahmi, R. Differential α-Amylase/α-Glucosidase Inhibitory Activities of Plant-Derived Phenolic Compounds: A Virtual Screening Perspective for the Treatment of Obesity and Diabetes. Food Funct. 2017, 8, 1942–1954. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Feature-based molecular networking (FBMN) of the methanolic extract of AC, based on data acquired in ESI (−) mode (Left). Distinct clusters of hydroxycinnamic acids and derivatives (purple nodes) and flavonoids/flavonoid glycosides (orange nodes), along with annotated compounds (numbered nodes) as presented in Table 1 (Right). Features that are unmatched or belong to other chemical classes are shown as black nodes.
Figure 1. Feature-based molecular networking (FBMN) of the methanolic extract of AC, based on data acquired in ESI (−) mode (Left). Distinct clusters of hydroxycinnamic acids and derivatives (purple nodes) and flavonoids/flavonoid glycosides (orange nodes), along with annotated compounds (numbered nodes) as presented in Table 1 (Right). Features that are unmatched or belong to other chemical classes are shown as black nodes.
Scipharm 93 00045 g001
Figure 2. MS/MS spectra and proposed fragmentation pattern of kaempferol-3-O-(6′′-O-malonyl methyl ester)-hexoside (compound 48).
Figure 2. MS/MS spectra and proposed fragmentation pattern of kaempferol-3-O-(6′′-O-malonyl methyl ester)-hexoside (compound 48).
Scipharm 93 00045 g002
Figure 3. MS/MS spectra of novel PAs detected in AC extract and proposed fragmentation patterns: 9-Sarracinoyl-trachelanthamidine/isoretronecanol (PA3), Retronecine-pentoside (PA4), Trachelanthamidine/isoretronecanol-hexoside (PA5).
Figure 3. MS/MS spectra of novel PAs detected in AC extract and proposed fragmentation patterns: 9-Sarracinoyl-trachelanthamidine/isoretronecanol (PA3), Retronecine-pentoside (PA4), Trachelanthamidine/isoretronecanol-hexoside (PA5).
Scipharm 93 00045 g003
Table 1. UHPLC-ESI-Q-TOF–MS/MS analysis of Alkanna corcyrensis methanolic extract.
Table 1. UHPLC-ESI-Q-TOF–MS/MS analysis of Alkanna corcyrensis methanolic extract.
No.Identified CompoundsRt (min)Relative Abundance (%)Precursor IonMolecular FormulaError
(ppm)
MS/MSReference
HYDROXYCINNAMIC ACIDS
Coumaroyl derivatives
1.Coumaric acid *7.790.09163.0387C9H8O3−5.02119.05[41]
2.Coumaroyl-glyceric acid7.340.14251.0544C12H12O6−4.63163.04/145.03/119.05/105.02[42]
3.Coumaroyl- threonic/erythronic acid 6.920.18281.0649C13H14O7−4.72163.04/135.03/119.05/75.01[43]
4.Coumaroyl malic acid methyl ester9.450.15293.0655C14H14O7−2.14163.04/145.03/133.05/119.04[44]
5.Coumaroyl-threonic/erythronic acid methyl ester 6.470.09295.0805C14H16O7−4.33193.04/163.04/149.03/133.05/119.05[45]
6.Coumaric acid hexoside4.890.05325.0911C15H18O8−3.82179.05/163.04/145.02/135.04/119.05[46]
Feruloyl derivatives
7.Feruloyl malic acid methyl ester10.70.21323.0758C15H16O8−2.76193.04/175.04/149.06/134.04[47]
Caffeoyl derivatives
Monomers
8.Caffeic acid *4.230.57179.0332C9H8O4−6.89135.05[41]
9.Methyl caffeate15.40.19193.0493C10H10O4−4.06161.02/133.03[48]
10.Danshensu *2.270.42197.0460C9H10O55.08179.03/135.04/123.05/93.03/72.99[49]
11.Caffeoyl-glyceric acid4.52.28267.0484C12H12O7−7.78179.04/161.02/135.04/105.02/75.01[50]
12.Caffeoyl-threonic/erythronic acid 2.950.24297.0628C13H14O86.25179.03/161.02/135.03/75.01[50]
13.Caffeoyl malic acid methyl ester4.930.45309.0605C14H14O8−1.75179.03/161.02/135.04/119.05[51]
14.Caffeoyl-methyl threonic/erythronic acid 3.890.29311.0768C14H16O80.35179.03/163.04/149.05/119.05[52]
Dimers
15.Nepetoidin B
(Isomer I)
32.620.33313.0710C17H14O6−0.68161.02/151.04/133.03/123.04[53]
16.Nepetoidin B
(Isomer II)
31.840.20313.0717C17H14O61.56161.02/151.04/133.03/123.04[53]
17.Caffeoyl-4-hydroxyphenyllactic acid 23.980.19343.0823C18H16O71.52197.04/179.03/161.02/145.03/135.04/72.99[54]
18.Rosmarinic acid *18.5214.3359.0778C18H15O83.08197.05/179.03/161.02[41]
19.Rosmarinic acid methyl ester25.630.21373.0928C19H18O81.23197.04/175.04/135.04[50]
20.Danshen suan C (Salvianic acid C)4.50.16377.0857C18H18O9−4.13198.05/179.03/161.02/135.04[55]
21.Rosmarinic acid hexoside Ι12.770.15521.1277C24H26O13−3.48359.09/197.04/161.03[54]
22.Rosmarinic acid hexoside ΙΙ14.080.18521.1280C24H26O13−2.91359.09/197.05/179.03/135.04[54]
Trimers
23.Salvianolic acid C *28.520.85491.0973C26H20O10−1.06311.06/295.06/185.02/135.04[49]
24.Salvianolic acid A *21.731.09493.1117C26H22O10−3.59295.06/185.02/109.03[54]
25.Yunnaneic acid D9.210.71539.1171C27H24O12−3.43359.07/297.07/197.04/161.02/135.04[49]
26.Yunnaneic acid I19.420.18541.1339C27H26O12−1.30343.08/329.07/299.09/267.06/197.04/135.04[56]
27.Monomethyl lithospermate29.120.10551.1195C28H24O121.00519.08/353.07/339.05/321.04/295.05/197.04[57]
28.Salvianolic acid K11.540.14555.1151C27H24O132.22467.13/359.07/313.07/269.08/197.04/135.04[58]
29.Yunnaneic acid E *11.50.74571.1079C27H24O14−1.54527.12/439.14/285.07/241.09/197.04[49]
30.Yunnaneic acid F *11.220.32597.1224C29H26O14−3.40491.14/329.10/311.09/267.10/197.04/179.03/135.04[49]
Tetramers
31.Sebesteniod E27.660.18671.1394C35H28O14−1.01520.08/473.08/321.03/169.91[56]
32.Lithospermic acid B *27.750.30717.1428C36H30O16−3.85519.09/321.04[50]
33.Trigonotin B/Rupestrin A19.110.19733.1950C34H38O18−4.08689.21/367.07/323.09/193.01/161.04/125.02[59]
34.Sodium rabdosiin *27.620.28739.1259C36H29NaO16−2.17559.08/515.10/335.06/291.06[12]
35.Sodium lithospermate B18.890.23741.1400C36H31O16Na−4.26579.10/381.06/219.02/197.04/179.03/135.04[60]
36.Sodium salvianolic acid E17.60.27741.1428C36H31O16Na−0.48561.10/381.06/161.02[60]
37.Trigonotin A/Rupestrin C13.640.32763.2083C35H40O19−0.33633.03/500.10/369.10[59]
38.Pulmonarioside C/Echiumin E15.440.22983.2814C47H52O23−0.73837.23/793.23/629.18/469.13/367.08/145.03[45]
39.Pulmonarioside C/Echiumin E20.410.13983.2816C47H52O23−0.52837.22/793.21/469.13/367.08[45]
FLAVONOIDS AND FLAVONOID GLYCOSIDES
Kaempferol derivatives
40.Kaempferol32.730.04285.0396C15H10O6−1.10285.04/255.03/227.03/151.00[61]
41.Kaempferol-methylether *33.240.05299.0548C16H12O6−2.55284.03/255.03/227.03[62]
42.Kaempferol-O-hexoside I *14.990.94447.0929C21H20O110.37447.09/284.03/151.00[61]
43.Kaempferol-O-hexoside II *16.27.71447.0930C21H20O110.59447.09/284.03/151.00[61]
44.Kaempferol-O-acetyl-hexoside I *22.740.58489.1037C23H22O120.82285.04/284.03/227.03[63]
45.Kaempferol-O-acetyl-hexoside II *24.910.08489.1046C23H22O122.66285.04/255.03[63]
46.Kaempferol diacetyl-deoxyhexoside28.870.15515.1177C25H24O12−2.43285.04/255.02/179.03[64]
47.Kaempferol-O-malonyl hexoside20.560.08533.0938C24H22O141.26489.10/285.04[50]
48.Kaempferol-O- (malonyl methyl ester)-hexoside24.790.09547.1107C25H24O14−2.91515.09/489.09/471.09/447.09/309.04/285.04
49.Kaempferol-triacetyl hexoside22.960.09573.1255C27H26O141.87489.10/368.99/285.04/125.02
50.Kaempferol-O-hexose-deoxyhexose I *13.090.09593.1490C27H30O15−2.77431.10/285.04/284.03/255.03[41]
51.Kaempferol-O- hexose-deoxyhexose II *14.950.34593.1500C27H30O15−1.09447.08/285.04/284.04/255.03/227.03[41]
52.Kaempferol-O-caffeoyl-hexoside25.510.09609.1264C30H26O143.23447.09/323.08/285.04/179.03[65]
Quercetin derivatives
53.Quercetin *28.660.07301.0346C15H10O7−0.76178.99/151.00/107.02[66]
54.Quercetin-O-hexoside *12.186.96463.0863C21H20O12−2.92300.03/301.03/151.00[61]
55.Quercetin-O-acetyl-hexoside I *16.663.16505.0996C23H22O133.83300.03[63]
56.Quercetin-O-acetyl-hexoside II *18.480.11505.1005C23H22O132.74446.09/360.08/300.03/151.00[63]
57.Quercetin-O-malonyl-hexoside16.70.30549.0902C24H22O153.92505.10/463.10/301.03[63]
58.Rutin *9.850.07609.1438C27H30O16−2.89300.03[66]
Other flavonoid derivatives
59.Dimethoxy-dihydroxy-flavone *36.680.12313.0717C17H14O61.56298.05/283.02[67]
60.Isorhamnetin30.080.18315.0508C16H12O71.02300.03/271.03/255.03[68]
61.Dimethoxy-trihydroxy-flavone *34.870.15329.0654C17H14O7−2.21314.04/299.02/285.03/271.02[67]
62.Trimethoxy-dihydroxy-flavone *35.20.13343.0818C18H16O70.06328.06/313.03/298.01/285.03/270.01[67]
63.Dimethoxy-tetrahydroxyflavone29.780.06345.0605C17H14O8−1.57 330.04/315.01/287.01[67]
64.Myricetin-O-hexoside6.390.22479.0810C21H20O13−3.27317.02/316.02/271.03/178.99/151.01[69]
65.Dimethoxy-trihydroxy-flavone-O-hexoside31.10.08491.1165C23H24O12−4.99429.11/329.06/314.04/135.04[70]
66.Trihydroxy-trimethoxyflavone-O-hexoside *27.830.29521.1287C24H26O13−1.57359.07/225.86[65]
COUMARINS
67.Hydroxy coumarin18.520.62161.0243C9H6O32.68133.03[54]
ORGANIC ACIDS
68.malic acid *1.80.25133.0150C4H6O59.79115.01/73.00/71.02[71]
69.Azelaic acid13.840.10187.0962C9H16O4−4.46 125.10/123.08/98.08[72]
70.Citric acid2.130.57191.0202C6H8O75.35129.02/111.01/87.01/85.03[71]
71.Gluconic/galactonic acid *1.80.25195.0507C6H12O71.14162.03/105.02/99.01/87.00/75.01/71.01[72]
FATTY ACIDS
72.Trihydroxy-octadecenoic acid32.380.15329.2319C18H34O5−2.73331.25/229.14/211.13/171.10[57]
73.Hydroxy-octadecadienoic acid38.840.14295.2267C18H32O3−2.10183.14[73]
74.Trihydroxy-octadecadienoic acid31.020.13327.2167C18H32O5−1.37327.21/229.14/211.13/171.10[57]
75.Hydroxy-octadecatrienoic acid38.040.12293.2110C18H30O3−2.28275.20/235.17/223.17/183.10[73]
76.Hydroxy-octadecenoic acid *39.650.08297.2432C18H34O30.77297.24/279.23/171.10[40]
* Previously reported within the Alkanna genus. The most abundant ions are shown in bold. Compounds shown in bold are isolated, with their 1H-NMR data available in Supplementary Materials.
Table 2. Annotated alkaloids from AC PAs/PANOs fraction analysis by LC–MS.
Table 2. Annotated alkaloids from AC PAs/PANOs fraction analysis by LC–MS.
No.Identified CompoundsRt
(min)
Relative
Abundance (%)
Precursor IonsTypeMolecular
Formula
ΔppmMS/MSReference
PA1.Trachelanthamidine/Isotretronecanol11.625.26142.1223TRAC8H15NO−2.4124.11/108.08[74]
PA2.Platynecine *4.61.26158.1166PLATC8H15NO2−6.04140.11/122.09/105.07[17]
PA3.9-sarracinoyl-trachelanthamidine/isotretronecanol16.960.74240.1594TRAC13H21NO3−0.08142.12/124.11/108.08
PA4.Retronecine-pentoside3.910.57288.1435RET
(monoester)
C13H21NO6−0.57156.10/138.09/120.08/108.08
PA5.Trachelanthamidine/Isotretronecanol-hexoside8.958.16304.1758TRAC14H25NO61.1142.12
PA6.Leptanthine12.411.41316.1751RET
(monoester)
C15H25NO6−1.15298.16/254.14/156.10/139.10/138.09/122.09/120.08/108.08[17]
PA7.Leptanthine-N-oxide4.91.70332.1709RETNO
(monoester)
C15H25NO71.57172.09/155.09/138.08/111.06[17]
PA8.Dihydroxy triangularine *13.47.41370.1859RET
(diester)
C18H27NO7−0.35341.12/326.16/288.14/238.14/220.13/138.09/120.08[17]
PA9.Dihydroxy triangularine
N-oxide *
13.16.45386.1796RETNO
(diester)
C18H27NO8−3.48254.14/220.13/154.08/136.07[17]
PA10.7-senecioyl-9-(3-acetoxy-2-hydroxy-2-methylbutyryl) retronecine
N-oxide *
14.291.11412.196RETNO
(diester)
C20H29NO8−1.44238.14/138.09/120.08/103.05[17]
* Previously reported within the Alkanna genus.
Table 3. Total phenolic and total flavonoid contents of AC methanolic extract.
Table 3. Total phenolic and total flavonoid contents of AC methanolic extract.
Phytochemical AssaysAC *
TPC (mg GAE/g of extract)74.45 ± 4.37
TFC (mg RE/g of extract)46.66 ± 0.11
* Values expressed are means ± S.D. of three parallel measurements. GAE: gallic acid equivalents; RE: rutin equivalents.
Table 4. Antioxidant properties of AC methanolic extract.
Table 4. Antioxidant properties of AC methanolic extract.
Antioxidant AssaysAC *
DPPH (mg TE/g of extract)227.01 ± 2.15
ABTS•+ (mg TE/g of extract)450.91 ± 11.42
FRAP (mg TE/g of extract)365.59 ± 0.61
CUPRAC (mg TE/g of extract)462.42 ± 7.95
Phosphomolybdenum (mmol TE/g of extract)2.11 ± 0.02
Metal chelating (mg EDTAE/g of extract)7.91 ± 0.53
* Values expressed are means ± S.D. of three parallel measurements. TE: trolox equivalents; EDTAE: EDTA equivalents.
Table 5. Enzyme inhibitory activities of AC methanolic extract.
Table 5. Enzyme inhibitory activities of AC methanolic extract.
Enzyme Inhibitory AssaysAC *
AChE inhibition (mg GALAE/g of extract)1.43 ± 0.10
BChE inhibition (mg GALAE/g of extract)0.38 ± 0.14
α-amylase inhibition (mmol ACAE/g of extract)0.47 ± 0.01
α-glucosidase inhibiton (mmol ACAE/g of extract)6.65 ± 0.18
* Values expressed are means ± S.D. of three parallel measurements. AChE: acetylcholinesterase; BChE: Butyrylcholinesterase; GALAE: galanthamine equivalents; ACAE: acarbose equivalents.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Panou, E.; Tsafantakis, N.; Zengin, G.; Graikou, K.; Ganos, C.; Fokialakis, N.; Chinou, I. Untargeted Metabolomic Profiling and Bioactivity Insights into Alkanna corcyrensis. Sci. Pharm. 2025, 93, 45. https://doi.org/10.3390/scipharm93030045

AMA Style

Panou E, Tsafantakis N, Zengin G, Graikou K, Ganos C, Fokialakis N, Chinou I. Untargeted Metabolomic Profiling and Bioactivity Insights into Alkanna corcyrensis. Scientia Pharmaceutica. 2025; 93(3):45. https://doi.org/10.3390/scipharm93030045

Chicago/Turabian Style

Panou, Evgenia, Nikolaos Tsafantakis, Gokhan Zengin, Konstantia Graikou, Christos Ganos, Nikolas Fokialakis, and Ioanna Chinou. 2025. "Untargeted Metabolomic Profiling and Bioactivity Insights into Alkanna corcyrensis" Scientia Pharmaceutica 93, no. 3: 45. https://doi.org/10.3390/scipharm93030045

APA Style

Panou, E., Tsafantakis, N., Zengin, G., Graikou, K., Ganos, C., Fokialakis, N., & Chinou, I. (2025). Untargeted Metabolomic Profiling and Bioactivity Insights into Alkanna corcyrensis. Scientia Pharmaceutica, 93(3), 45. https://doi.org/10.3390/scipharm93030045

Article Metrics

Back to TopTop