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Article

Phytochemical Profile and Antioxidant Properties of Invasive Plants Ailanthus altissima (Mill.) Swingle and Helianthus tuberosus L. in Istria Region, Croatia

by
Mirela Uzelac Božac
1,†,
Danijela Poljuha
1,*,†,
Slavica Dudaš
2,
Josipa Bilić
3,
Ivana Šola
4,
Maja Mikulič-Petkovšek
5 and
Barbara Sladonja
1
1
Department of Agriculture and Nutrition, Institute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, Croatia
2
Agricultural Department, University of Applied Sciences of Rijeka, Karla Huguesa 6, 52440 Poreč, Croatia
3
METRIS Research Centre, Istrian University of Applied Sciences, Zagrebačka 30, 52100 Pula, Croatia
4
Department of Biology, Faculty of Science, University of Zagreb, 10000 Zagreb, Croatia
5
Department of Agronomy, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Antioxidants 2025, 14(6), 677; https://doi.org/10.3390/antiox14060677
Submission received: 28 April 2025 / Revised: 23 May 2025 / Accepted: 27 May 2025 / Published: 3 June 2025
(This article belongs to the Section Natural and Synthetic Antioxidants)

Abstract

Invasive alien plant species, while ecologically and economically problematic, represent an underutilized source of bioactive phytochemicals with promising phytopharmaceutical applications. This study investigates the LC-DAD-MS phenolic profiles of 70% ethanol and 80% methanol leaf and flower extracts of Ailanthus altissima (Mill.) Swingle and Helianthus tuberosus L., collected in the Istria region of Croatia, alongside their antioxidant capacities using ABTS, DPPH, and FRAP assays. Both species exhibited high levels of flavonoids and phenolic acids, with consistently higher concentrations in leaf versus flower tissues and in ethanolic versus methanolic extracts. Strong correlations (r > 0.9) between total phenolics and antioxidant activity confirmed the functional significance of these compounds. With a targeted metabolomics approach, in A. altissima, 51 phenolics were identified in leaves and 47 in flowers, with ellagitannins predominating; vescalagin isomers reached 94 mg/g DW in leaves and 82 mg/g DW in flowers. H. tuberosus extracts contained 34 phenolics in leaves and 33 in flowers, with hydroxycinnamic acids and flavonols dominating; 5-caffeoylquinic acid was the principal compound (25 mg/g DW in leaves, 2 mg/g DW in flowers). The identified phytochemicals are known for their potent antioxidant, anti-inflammatory, anticancer, antimicrobial, and metabolic-regulating properties. Additionally, four leaf-specific compounds were identified in each species, indicating potential for targeted extraction. These findings advance the phytochemical characterization of invasive taxa and highlight their potential as sources of natural antioxidants for functional food and pharmaceutical development.

1. Introduction

The continued exploration of plant-derived bioactive compounds plays a vital role in the development of novel phytopharmaceuticals. Phenolics are among the most widely distributed and pharmacologically relevant phytochemicals, noted for their antioxidant, anti-inflammatory, antimicrobial, and anticancer properties. Although ecologically detrimental, invasive alien plant species (IAPSs) are increasingly recognized as rich reservoirs of such bioactive compounds [1,2]. Notably, some studies suggest that IAPSs may produce higher levels of phenolic compounds compared to native species [3] or even their counterparts in native ranges [4]. This phenomenon is hypothesized to result from the novel biochemistry of invasive plants as an adaptive response to new environments and climatic conditions [5].
This study focuses on two IAPSs—Ailanthus altissima (Mill.) Swingle and Helianthus tuberosus L.—which are widely spread in the Istria region of Croatia. Both species are recognized as invasive alien plant species in Croatia and many other regions due to their aggressive spread and displacement of native flora. They negatively impact biodiversity and ecosystem functioning and can alter soil chemistry [6,7]. Moreover, A. altissima produces allelopathic compounds that inhibit the growth of surrounding plants, further exacerbating its invasiveness [8]. Both species have also been associated with adverse effects on human health, including allergenic reactions and potential toxicity [6]. Understanding their phytochemical profiles is thus crucial not only for valorization but also for managing their environmental and health risks.
A. altissima (Simaroubaceae), widely known as the tree of heaven, is a rapidly proliferating deciduous tree originally native to eastern Asia. First introduced to Europe in the 1700s for ornamental planting [9], it has since established itself on every continent except Antarctica [10]. Due to its aggressive spread and ecological impact, it has been listed as an Invasive Alien Species of Union Concern since 2019 [11]. In Croatia, it forms dense monocultures in urban and disturbed habitats [12]. The species produces allelopathic compounds [13,14,15] and is rich in phenolics, including rutin, caffeic acid, chlorogenic acid, ellagic acid, and resveratrol [16,17,18,19], compounds that are extensively studied for their therapeutic potential. Previous studies have suggested its potential as a source of natural antioxidants and its DNA-protective capacity [16,20,21]. H. tuberosus, or Jerusalem artichoke, is a perennial plant belonging to the Asteraceae family. It originates from North America and was brought to Europe during the 1600s [22]. It has become invasive in many parts of Central Europe due to its rapid vegetative spread and adaptability to moist, nutrient-rich environments [23]. In Croatia, it is widely distributed along riverbanks and roadsides [12]. The species is known for its edible tubers and its potential in phytotherapeutics and bioethanol production [24]. Its phenolic profile is characterized primarily by chlorogenic acids and related compounds [17,25].
The phenolic composition of plants is influenced by multiple factors, including genotype, phenological stage, plant tissue, extraction method, environmental conditions, and geographic origin [26,27,28]. These variables necessitate site-specific and methodologically tailored analyses to assess phytochemical potential. Previous studies on A. altissima leaf extracts obtained through sequential extraction with solvents of varying polarity have demonstrated significant variations in phenolic content and antioxidant activity, influenced by factors such as harvesting season and leaf processing techniques [29]. Similarly, investigations into H. tuberosus have shown that phenolic content and antioxidant activity vary across different plant organs, with leaves exhibiting the highest levels [25]. These findings underscore the importance of both solvent selection and plant organ differentiation in phytochemical analyses.
Building on these prior findings and incorporating a regionally focused, organ-specific approach, this study aims to enhance our understanding of the phytochemical potential of these invasive species and their relevance in sustainable resource management. Specifically, we evaluated the phytochemical composition and antioxidant activities of ethanol and methanol extracts derived from the leaves and flowers of A. altissima and H. tuberosus collected in the Istria region. To our knowledge, this is the first comprehensive analysis of H. tuberosus in this geographic area, offering novel insights into its invasive potential and possible applications. In addition, we sought to verify and expand upon our previous preliminary findings for A. altissima [16,20].
The study had three main objectives:
(i)
To determine total phenolic, flavonoid, and non-flavonoid contents, as well as antioxidant activity, using DPPH, ABTS, and FRAP assays;
(ii)
To identify and quantify individual phenolic compounds using LC-DAD-MS;
(iii)
To assess the influence of solvent type and plant organ on phytochemical profiles and antioxidant activity through statistical analysis.

2. Materials and Methods

2.1. Plant Material

Leaves and flowers of H. tuberosus and A. altissima were collected between June and September of the 2021 growing season in the Istria region of Croatia. A total of 15 samples from each species were obtained from five distinct locations (three samples per site), covering latitudes from N 45.402333 to N 44.846528. Following harvest, the plant material was air-dried at room temperature in the dark. Prior to extraction, individual flowers of A. altissima were separated from the inflorescences; therefore, the term “flower extracts” is used throughout this paper to refer specifically to these isolated floral parts.
While our study area is relatively small and geographically homogeneous, future studies should examine site-specific influences to better understand ecological and biochemical variability.

2.2. Extraction Procedure

To obtain a representative sample for the study area, 250 g of dry plant material from each collection site was pooled and homogenized using a Grindomix GM 200 knife mill (Retsch, Haan, Germany) set at 10,000 rpm for 30 s.
For spectrophotometric determination of phenolic content, extracts were prepared in triplicate, and analyses were performed following a standardized protocol [30]. In each case, 0.06 g of plant material was dissolved in 2 mL of solvent (70% ethanol or 80% methanol), and then sonicated for 30 min in an ultrasonic bath (40 kHz, 300 W ultrasonic power, 400 W heating power; Holon, Israel). The extracts were subsequently centrifuged at 12,000 rpm for 10 min (Jouan MR23i, Jouan S.A., Saint-Herblain, France), filtered through 0.20 µm PTFE filters (Macherey-Nagel, Düren, Germany), and then stored at +4 °C until analysis.
Phenolic compound extraction for HPLC-DAD-MS analysis followed the protocol of Mikulič Petkovšek et al. [31]. Briefly, 0.2 g of dried plant material was extracted with 6 mL of either 70% ethanol or 80% methanol containing 3% (v/v) formic acid in a cooled ultrasonic bath for 60 min. Extracts were then centrifuged at 10,000× g for 10 min and filtered through 20 µm PTFE filters (Macherey-Nagel, Düren, Germany) prior to analysis.

2.3. Total Phenolics, Flavonoids, and Non-Flavonoids Content and Antioxidant Capacity

Total phenolic content (TP) was assessed using the method of Singleton and Rossi [32], while total non-flavonoid content (TNF) was determined following the procedure of Ough and Amerine [33], as detailed by Uzelac et al. [1]. Both methods are based on the reduction of the Folin–Ciocalteu (FC) reagent in the presence of phenolic compounds, resulting in the formation of a molybdenum–tungsten blue complex, which is quantified spectrophotometrically at 765 nm. Results were calculated using a gallic acid calibration curve (y = 0.004x, R2 = 0.991 for 70% ethanol extracts; y = 0.009x, R2 = 0.996 for 80% methanol extracts, where y is the absorbance at 765 nm and x is the gallic acid concentration in mg/L) and expressed as milligrams of gallic acid equivalents per gram of dry weight (mg GAE/g DW).
Total flavonoid content (TF) was determined according to the method of Martins et al. [34], as adapted by Uzelac et al. [1]. Briefly, 0.02 mL of extract was mixed with 0.88 mL of distilled water, followed by the addition of 0.06 mL of 5% sodium nitrite, 0.06 mL of 10% aluminium chloride, and 0.8 mL of 4% sodium hydroxide. After a 15 min incubation, absorbance was measured at 510 nm. Results were calculated using a catechin calibration curve (y = 0.0024x, R2 = 0.993 for 70% ethanol extracts; y = 0.0022x, R2 = 0.994 for 80% methanol extracts) and expressed as milligrams of (+)-catechin equivalents per gram of dry weight (mg CE/g DW).
Antioxidant capacity (AC) was evaluated using DPPH, ABTS, and FRAP assays, following the protocols described by Poljuha et al. [35]. DPPH results were calculated using a Trolox standard curve (y = 44.991x, R2 = 0.972 for 70% ethanol; y = 47.786x, R2 = 0.992 for 80% methanol), while FRAP values were determined from y = 1.638x (R2 = 0.993) for ethanol and y = 1.586x (R2 = 0.991) for methanol extracts. ABTS values were based on y = 46.137x (R2 = 0.981) and y = 41.432x (R2 = 0.968), respectively. In all cases, antioxidant activity was expressed as milligrams of Trolox equivalents per gram of dry weight (mg TE/g DW).
All spectrophotometric measurements were conducted in triplicate using a NanoPhotometer P300 (Implen GmbH, München, Germany) with a 2 mL cuvette.

2.4. HPLC-DAD-MS Analysis of Phenolic Compounds in Leaf and Flower Extracts

All extracts were analyzed by liquid chromatography with diode-array detection and mass spectrometry (LC-DAD-MS) to identify and quantify individual phenolic compounds, based on reference standards. Separation was performed using a Dionex UltiMate 3000 HPLC system (Thermo Fisher Scientific, San Jose, CA, USA) equipped with a Gemini C18 column (Phenomenex, Torrance, CA, USA) maintained at 25 °C. Detection was carried out using a DAD detector, monitoring at 280 and 350 nm. Phenolic compounds were separated using a binary mobile phase system: mobile phase A consisted of double-distilled water/acetonitrile/formic acid (96.9:3:0.1, v/v/v), and mobile phase B was acetonitrile/double-distilled water/formic acid (96.9:3:0.1, v/v/v). The elution followed a linear gradient: 5–20% B over the first 15 min, and then 20–30% B over 5 min, held isocratically for 5 min, followed by a gradient from 30–90% B over 5 min, and then holding isocratically for 15 min before returning to initial conditions, according to the method described by Mikulič-Petkovšek et al. [36].
A 20 μL injection volume was used, with a flow rate of 0.6 mL/min. Mass spectrometric detection was performed on an LTQ XL Linear Ion Trap MS (Thermo Fisher Scientific, Waltham, MA, USA) equipped with an electrospray ionization (ESI) source in negative mode, using modified parameters based on Mikulič-Petkovšek et al. [37]. Data-dependent full scans were acquired over an m/z range of 110–1700. Phenolic compounds were identified by comparing fragmentation patterns, retention times, and UV/Vis spectra with those of authentic standards. Quantification was performed based on peak areas, using external standard calibration curves. Results were expressed as milligrams per gram of dry weight (mg/g DW).
Compounds with identical names followed by different numbers (e.g., ‘3-caffeoylquinic acid 1’ and ‘3-caffeoylquinic acid 2’; Table 1) correspond to isomeric forms distinguished by their order of elution on the chromatogram. Since these isomers share the same molecular ion (m/z) and similar fragmentation patterns, but authentic standards for all forms were not available, we assigned numbers based on retention time sequence. For example, four dicaffeoylquinic acid isomers (m/z 515) were labeled dicaffeoylquinic acid 1 to 4 according to their elution order and characterized by their MS2 and MS3 fragment ions, consistent with previously reported isomers such as 1,5-diCQA, 3,5-diCQA, and 4,5-diCQA [38]. This approach was similarly applied to other phenolic compounds with multiple isomeric forms, which may represent cis/trans or positional isomers.

2.5. Statistical Analysis

Two-way analysis of variance (ANOVA) with post hoc Tukey’s test was conducted to determine significant influences of factors—organ and solvent) (p ≤ 0.05 and 0.01) (Tables S1 and S3). Pearson’s correlation coefficients were calculated to assess the interaction between bio-compounds and antioxidant capacity (Table S2). One-way analysis of variance (ANOVA) with LSD test was conducted to determine significant differences in extracts between the organs in EtOH extracts (Table 1), separately for each species (p ≤ 0.05 and 0.01). Data were statistically analyzed using the software Statgraphics Plus 4.0 (Manugistics, Inc., Rockville, MD, USA) and SPSS 23 (IBM, Armonk, NY, USA). Visualization (Figure 1, Figure 2 and Figure 3) was generated using Flourish Studio 1.0.0.3 (Canva, Sidney, Australia) and Sketch version 101 (Eindhoven, The Netherlands).

3. Results and Discussion

3.1. Phenolic Content and Antioxidant Capacity

The determined contents of total phenolics (TP) and total non-flavonoids (TNF) in all extracts were higher in the leaf than in the flower in both analyzed species (Figure 1, Table S1). However, no statistically significant difference in total flavonoid (TF) content was detected between leaves and flowers.
Figure 1. The content of total phenolics (TP), total non-flavonoids (TNF), total flavonoids (TF), and antioxidant capacity (measured by ABTS [2,2′-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid)] radical cation assay, DPPH (2,2-diphenyl-2-picrylhydrazyl) free radical assay, and FRAP (ferric reducing antioxidant power) assay) ABTS, DPPH, and FRAP assays in (A) A. altissima and (B) H. tuberosus leaf and flower extracts in two solvents (70% ethanol and 80% methanol). Different letters (a–d) in the same section indicate significant differences between the measured values (two-way ANOVA, Tukey’s test, p ≤ 0.01). All results are given in Table S1.
Figure 1. The content of total phenolics (TP), total non-flavonoids (TNF), total flavonoids (TF), and antioxidant capacity (measured by ABTS [2,2′-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid)] radical cation assay, DPPH (2,2-diphenyl-2-picrylhydrazyl) free radical assay, and FRAP (ferric reducing antioxidant power) assay) ABTS, DPPH, and FRAP assays in (A) A. altissima and (B) H. tuberosus leaf and flower extracts in two solvents (70% ethanol and 80% methanol). Different letters (a–d) in the same section indicate significant differences between the measured values (two-way ANOVA, Tukey’s test, p ≤ 0.01). All results are given in Table S1.
Antioxidants 14 00677 g001
The highest TP and TNF values were detected in A. altissima leaf ethanolic extracts, amounting to 157.3 and 116.3 mg of gallic acid equivalent (GAE)/g of dry weight (DW), respectively (Figure 1, Table S1). In contrast, methanolic leaf extracts of A. altissima showed notably lower concentrations (67.6 and 40.4 mg GAE)/g DW, respectively). These findings are lower than values reported in our previous study, where fresh methanolic leaf extracts yielded 247 mg GAE/g DW (TP), 164 mg GAE/g DW (TNF), and 57 mg catechin equivalents (CE)/g DW (TF) [16]. Comparable results were observed by Mohamed et al. [19], who reported a TP value of 209.8 mg GAE/g DW in 85% methanol leaf extracts of A. altissima. Variations in these values can be attributed to differences in the year of plant collection, climatic conditions, plant maturity, sampling location, and extraction methods. Supporting this, Luís et al. [39] measured 136.6 mg GAE/g DW in ethanolic leaf extracts of A. altissima. Further highlighting this variability, Cocîrlea et al. [29] demonstrated that harvest season and processing method significantly impact polyphenol content. They found the highest TP in frozen autumn-harvested leaves (72.5 mg GAE/g DW) and the highest TF in summer-harvested leaves (91.9 mg QE/g DW). In the present study, TF content ranged from 8.1 to 8.9 mg CE/g DW in ethanolic extracts, and from 17.5 to 18 mg CE/g DW in methanolic extracts—values significantly lower than the 87.1 mg CE/g DW reported by Luís et al. [39].
For H. tuberosus, the highest TP was found in ethanolic leaf extracts (120.7 mg GAE/g DW), followed by 52.6 mg GAE/g DW in methanolic leaf extracts. Flower extracts yielded lower TP values regardless of the solvent used (39.3 mg GAE/g DW in ethanol; 15.8 mg GAE/g DW in methanol) (Figure 1B, Table S1). These findings align with the study of Sreekanth and Devi [40], who reported 87–127 mg GAE/g DW in ethanolic leaf extracts. Alyas et al. [41] reported a total phenolic content of 30.6 mg GAE/g in tuber extracts prepared with 70% ethanol, which is lower than the values observed in our research. This difference underscores the impact that both the choice of plant organ and extraction technique can have on phenolic yield. Their findings further indicate that autoclave-assisted extraction may enhance the recovery of antioxidants from Jerusalem artichoke compared to conventional aqueous or 70% ethanol extraction methods. Furthermore, variations in observed values, as in the case of A. altissima, could be attributed to the plant maturity stage. Chen et al. [42] reported the variation in the total phenolic content of H. tuberosus ethanol leaf extracts depending on the growth stage, which reached its highest concentration of 5.3 mg/g DW at the flowering stage. The choice of extraction method, especially the solvent polarity, also significantly influences the total phenolic content and antioxidant capacity (AC). Ethanol and methanol, as polar solvents, are more effective in extracting phenolic compounds than less polar alternatives. Do et al. [43] and Showkat et al. [25] emphasized that solvent polarity strongly influences phenolic extraction efficiency, particularly for compounds such as caffeoylquinic acid isomers. Moreover, methanol is known to preferentially extract lower-molecular-weight phenolics, while ethanol, being food-safe and broadly effective, presents a practical choice for extraction purposes [43]. Yuan et al. [44] found that an ethyl acetate H. tuberosus leaf fraction, with intermediate polarity, yielded 266.7 mg GAE/g DW, further underscoring the relevance of solvent characteristics. Another common practice in scientific papers is to present results in different formats, which can hinder direct comparison with existing literature.
Regarding antioxidant activity, the highest AC values for A. altissima were observed in ethanolic leaf extracts using the DPPH assay (190.7 mg TE/g DW) and in ethanolic flower extracts using ABTS (186.4 mg TE/g DW) (Figure 1, Table S1). Mohamed et al. [19] reported a DPPH SC50 of 22.00 µg/mL for 85% methanol extracts, while Andonova et al. [21] noted DPPH and ABTS activities of 225.6 and 299.5 mmol TE/g DW, respectively, in ethanolic aerial part extracts. For H. tuberosus, the highest AC values were again found in ethanolic extracts: 102.5 mg TE/g DW (leaf) and 84.6 mg TE/g DW (flower), both measured using the DPPH assay (Figure 1, Table S1).
Generally, ethanolic extracts outperformed methanolic ones in terms of AC, and leaf extracts often showed higher AC than flower extracts, as later confirmed by PCA analysis, which revealed clear separation between extraction solvents and plant organs. (Ethanol is a Generally Recognized As Safe (GRAS) solvent widely accepted for food and pharmaceutical applications due to its regulatory approval and efficacy in extracting bioactive phenolics [45]. In the US, ethanol is approved for specific food uses such as antimicrobial and preservative applications, while in the EU it is not listed as a food additive under Regulation (EC) No. 1333/2008 but is commonly used as a solvent in flavoring preparations. However, products using ethanol extraction may require novel food authorization if introduced to the EU market post-1997. Given its safety profile and extraction efficiency, ethanol is preferable over methanol for developing functional food and phytopharmaceutical formulations.
Strong and significant correlations were observed between all three antioxidant assays, as well as between TP and TNF (r = 0.9–1.0, Table S2, Figure 2A,B). Additionally, TP and TNF were strongly correlated with AC as determined by FRAP and DPPH (0.5 < r < 0.75), with slightly lower correlations for ABTS (r ≈ 0.49) (Table S2, Figure 2A,D).
Figure 2. Pearson’s correlation coefficients of total phenolics (TP), non-flavonoids (TNF), and flavonoids (TF) contents and antioxidant capacities determined by ABTS, DPPH, and FRAP assays. (A) Only significant correlations (p ≤ 0.01; Table S2) are shown. (B) Total (0.9 < r < 1.0) and very strong (0.75 < r < 0.9) correlations; (C) Strong (0.50 < r < 0.75) correlations; (D) Weak correlations (0.25 < r < 0.5).
Figure 2. Pearson’s correlation coefficients of total phenolics (TP), non-flavonoids (TNF), and flavonoids (TF) contents and antioxidant capacities determined by ABTS, DPPH, and FRAP assays. (A) Only significant correlations (p ≤ 0.01; Table S2) are shown. (B) Total (0.9 < r < 1.0) and very strong (0.75 < r < 0.9) correlations; (C) Strong (0.50 < r < 0.75) correlations; (D) Weak correlations (0.25 < r < 0.5).
Antioxidants 14 00677 g002
To evaluate antioxidant efficiency, we normalized total antioxidant capacity to total phenolic content (mg TE/mg GAE). TE/GAE ratios varied across extracts and assays (Table S1). The highest ABTS efficiency was in H. tuberosus leaf extract (70% EtOH, 1.95), while A. altissima flower extract (80% MeOH) also showed a high value (2.62). DPPH/TP ratios exceeded 2.3 for both A. altissima flower (80% MeOH) and H. tuberosus leaf (70% EtOH). FRAP/TP values were generally lower, except in H. tuberosus leaf extract (70% EtOH, 1.92), indicating strong reducing power per phenolic unit. Similar conclusions can be noted regarding the separation of solvents in PCA analysis and correlation between specific compounds and antioxidant methods (Tables S2–S4). These differences highlight the influence of plant species and extraction solvent. Variations among ABTS, DPPH, and FRAP also reflect assay principles: ABTS and DPPH measure radical scavenging (electron/hydrogen transfer), while FRAP assesses reducing power via iron reduction. For example, A. altissima flower extract showed high ABTS/TP and DPPH/TP but moderate FRAP/TP, suggesting strong scavenging but lower reducing ability. In contrast, H. tuberosus leaf extract was consistently efficient across all methods, indicating a broader antioxidant profile. Overall, both phenolic content and functional activity depend on the compound type, extraction method, and assay used. While colorimetric assays provide initial antioxidant screening, future studies should integrate cell-based, ex vivo, or in vivo models to evaluate bioactivity in physiologically relevant systems. A. altissima and H. tuberosus leaves, with their high phenolic yields and antioxidant efficiency, are prioritized for downstream applications such as nutraceutical formulations or stability testing during in vitro digestion. Our preliminary results on the anti-inflammatory, genotoxic, and cytotoxic effects of the extracts on various cell lines, as well as their antimicrobial activity, indicate the potential for further development of phytopharmaceutical applications. Furthermore, our initial findings [46] demonstrated that A. altissima plant extracts modulate GST activity in HEPG2 cell lysates and extracellular media, underscoring the therapeutic potential of this and other invasive species and their specialized metabolites. These results warrant further investigation into their regulatory effects on GST activity and their prospective role in cancer therapy strategies.

3.2. Identification and Quantification of Phenolic Compounds

Based on external standards, a total of 67 phenolic compounds were identified in the analyzed extracts: 51 in the leaf and 47 in the flower of A. altissima, and 34 in the leaf and 33 in the flower of H. tuberosus (Table 1). The detected compounds encompassed phenolic acids, specifically derivatives of hydroxycinnamic acid (HCA) and hydroxybenzoic acid (HBA), along with various flavonoids—including flavones, flavonols, flavanols, and flavanones—as well as non-flavonoid constituents like ellagitannins. The influence of the plant organ exceeded that of the solvent across a majority of phenolic groups, with the exception of ellagitannins in A. altissima, where the solvent had a more pronounced impact, and flavanols, flavonols, and flavanones, where neither organ nor solvent had an impact (Table S5). Therefore, to streamline interpretation, Table 1 presents only the results from 70% ethanol extracts, while the full data (including 80% methanol) are available in Supplementary Table S5.
In A. altissima, leaf extracts showed a significantly higher total phenolic content than flower extracts (189.5 vs. 129.1 mg/g DW; Table 1, Figure 3A), with the same trend observed in methanolic extracts, although in higher concentrations (234.8 mg/g DW in leaf and 163.1 mg/g DW in flower; Table S5). In H. tuberosus, the total detected phenolics concentrations in ethanolic extracts were lower (65.8 for leaf and 12.1 mg/g of DW for flower; Table 1, Figure 3B), and there were no statistically significant differences between values observed in methanolic extracts (Table S5). These findings confirm the role of the plant organ as a critical determinant of phytochemical richness.
In total, 29 species-specific compounds for A. altissima and 16 for H. tuberosus were identified (Table 1). Four compounds were organ-specific for A. altissima leaf (3-caffeoylquinic acid 2, 5-caffeoylquinic acid 2, procyanidin dimer 2, and quercetin-3-rutinoside). In H. tuberosus, seven compounds were organ-specific—four for leaf (4-p-coumaroylquinic acid 2, 5-p-coumaroylquinic acid 1, gallic acid, and quercetin-rhamnosylhexoside) and three for flower (quercetin pentoside 1, quercetin pentoside 2, and quercetin malosyl hexoside) (Table 1).
Table 1. Phenolic compounds (mg/g of dry weight (DW)) of A. altissima and H. tuberosus leaf and flower extracts identified by LC-DAD-MS in 70% ethanol. Values represent the mean ± SD of four replicates. Different letters (a, b, A, B) in the same row indicate significant intra-species differences, determined by one way-ANOVA and LSD test; p-value ≤ 0.01; n.d.—not detected.
Table 1. Phenolic compounds (mg/g of dry weight (DW)) of A. altissima and H. tuberosus leaf and flower extracts identified by LC-DAD-MS in 70% ethanol. Values represent the mean ± SD of four replicates. Different letters (a, b, A, B) in the same row indicate significant intra-species differences, determined by one way-ANOVA and LSD test; p-value ≤ 0.01; n.d.—not detected.
Phenolic CompoundsA. altissimaH. tuberosus
LeafFlowerLeafFlower
3-caffeoylquinic acid 10.975 ± 0.275 a0.924 ± 0.190 a0.026 ± 0.004 A0.405 ± 0.009 B
3-caffeoylquinic acid 22.917 ± 0.122n.d.n.d.n.d.
4-caffeoylquinic acid 10.543 ± 0.119 a0.100 ± 0.017 b1.336 ± 0.183 A0.190 ± 0.064 B
4-caffeoylquinic acid 23.112 ± 0.530 a0.449 ± 0.015 bn.d.n.d.
5-caffeoylquinic acid 15.298 ± 0.474 a1.721 ± 0.421 b25.341 ± 1.831 A2.052 ± 0.261 B
5-caffeoylquinic acid 29.080 ± 1.203n.d.0.673 ± 0.061 A0.097 ± 0.011 B
Caffeic acid1.413 ± 0.314 a0.426 ± 0.029 b0.086 ± 0.014 A0.100 ± 0.012 A
Caffeic acid hexoside 10.374 ± 0.057 a0.089 ± 0.015 b0.439 ± 0.052 A0.565 ± 0.109 A
Caffeic acid hexoside 20.273 ± 0.086 b1.563 ± 0.100 a0.164 ± 0.024 A0.148 ± 0.024 A
Dicaffeoylquinic acid 1n.d.n.d.0.551 ± 0.111 A0.205 ± 0.008 B
Dicaffeoylquinic acid 2n.d.n.d.5.880 ± 0.584 A1.079 ± 0.043 B
Dicaffeoylquinic acid 3n.d.n.d.0.599 ± 0.091 A0.475 ± 0.019 B
Dicaffeoylquinic acid 4n.d.n.d.0.703 ± 0.047 A0.438 ± 0.077 B
p-coumaric acid hexoside 10.461 ± 0.098 a0.192 ± 0.033 bn.d.n.d.
3 p-coumaroylquinic acid0.346 ± 0.090 a0.005 ± 0.001 b3.623 ± 0.485 A0.240 ± 0.013 B
4-p-coumaroylquinic acid 10.788 ± 0.053 a0.443 ± 0.038 b0.153 ± 0.025 A0.078 ± 0.006 B
4-p-coumaroylquinic acid 2n.d.n.d.0.095 ± 0.014n.d.
5-p-coumaroylquinic acid 10.530 ± 0.080 a0.424 ± 0.016 b0.485 ± 0.050n.d.
5-p-coumaroylquinic acid 2 n.d.n.d.0.315 ± 0.043 A0.111 ± 0.025 B
3-feruloylquinic acid0.262 ± 0.067 a0.399 ± 0.013 a0.055 ± 0.008 A0.115 ± 0.035 B
4-feruloylquinic acid0.028 ± 0.002 b0.523 ± 0.026 an.d.n.d.
5-feruloylquinic acid 10.021 ± 0.003 b0.830 ± 0.032 a0.431 ± 0.036 A0.242 ± 0.025 B
5-feruloylquinic acid 2n.d.n.d.0.189 ± 0.024 A0.134 ± 0.038 B
Hydroxycinnamic acid
derivatives
26.771 ± 1.684 a8.086 ± 0.444 b41.126 ± 2.651 A6.615 ± 0.674 B
Gallic acid0.531 ± 0.081 b0.947 ± 0.059 a0.080 ± 0.193n.d.
Protocatechuic acid0.026 ± 0.003 b0.861 ± 0.106 a1.503 ± 0.308 A0.404 ± 0.060 B
Ellagic acid22.486 ± 2.276 A2.125 ± 0.397 bn.d.n.d.
Ellagic acid pentoside 1 4.948 ± 0.494 A3.074 ± 0.641 bn.d.n.d.
Ellagic acid pentoside 20.042 ± 0.008 b0.689 ± 0.063 an.d.n.d.
Hydroxybenzoic acid
derivatives
28.037 ± 2.767 a7.693 ± 0.881 b1.583 ± 0.292 A0.404 ± 0.060 B
Procyanidin dimer 10.029 ± 0.007 b0.204 ± 0.050 an.d.n.d.
Procyanidin dimer 24.373 ± 0.529n.d.n.d.n.d.
Epicatechin0.020 ± 0.003 b5.661 ± 0.280 an.d.n.d.
Gallocatechin2.331 ± 0.203 a0.790 ± 0.131 bn.d.n.d.
Flavanols6.799 ± 0.526 a6.838 ± 0.272 an.d.n.d.
Quercetin pentoside 10.336 ± 0.035 a0.286 ± 0.040 bn.d.0.132 ± 0.027
Quercetin pentoside 20.011 ± 0.002 b0.032 ± 0.007 an.d.0.138 ± 0.011
Quercetin-3-rutinoside0.001 ± 0.000n.d.1.279 ± 0.196 A0.262 ± 0.075 B
Quercetin-3-galactoside1.926 ± 0.195 b2.634 ± 0.366 a0.489 ± 0.085 A0.124 ± 0.019 B
Quercetin-3-glucoside8.031 ± 0.813 a2.940 ± 0.550 b0.760 ± 0.073 A0.422 ± 0.050 B
Quercetin-3-glucuroniden.d.n.d.5.011 ± 0.227 A1.634 ± 0.140 B
Quercetin-3-rhamnoside0.140 ± 0.026 b1.004 ± 0.075 an.d.n.d.
Quercetin galloylhexoside 10.283 ± 0.032 b0.617 ± 0.053 an.d.n.d.
Quercetin galloylhexoside 20.929 ± 0.179 a0.953 ± 0.087 an.d.n.d.
Quercetin acetylhexoside 13.469 ± 0.346 a1.010 ± 0.109 bn.d.n.d.
Quercetin acetylhexoside 20.175 ± 0.023 b0.363 ± 0.030 an.d.n.d.
Quercetin-rhamnosylhexosiden.d.n.d.0.235 ± 0.006n.d.
Quercetin malosyl hexoside n.d.n.d.n.d.0.558 ± 0.004
Isorhamnetin hexosiden.d.n.d.0.240 ± 0.016 A0.200 ± 0.032 A
Isoramnetin
hexosylpentoside
n.d.n.d.0.470 ± 0.035 A0.351 ± 0.063 B
Isorhamnetin glucuroniden.d.n.d.0.374 ± 0.025 A0.184 ± 0.043 B
Isorhamnetin acetylhexoside0.214 ± 0.059 b0.555 ± 0.113 an.d.n.d.
Kaempferol hexoside 11.190 ± 0.120 b2.075 ± 0.288 a0.141 ± 0.007 A0.117 ± 0.026 A
Kaempferol hexoside 20.751 ± 0.119 a0.362 ± 0.074 b5.417 ± 0.232 A0.055 ± 0.002 B
Kaempferol
rhamnosylhexoside 1
0.087 ± 0.017 b0.282 ± 0.034 a0.048 ± 0.005 A0.036 ± 0.0047 B
Kaempferol
rhamnosylhexoside 2
0.123 ± 0.021 b0.304 ± 0.069 an.d.n.d.
Kaempferol-3-rutinosiden.d.n.d.0.918 ± 0.155 A0.211 ± 0.072 B
Kaempferol-3-glucuroniden.d.n.d.7.125 ± 0.639 A0.420 ± 0.054 B
Kaempferol acetylhexoside 1n.d.n.d.0.474 ± 0.078 A0.132 ± 0.026 B
Kaempferol acetylhexoside 20.736 ± 0.072 a0.594 ± 0.073 an.d.n.d.
Kaempferol galloylhexoside0.202 ± 0.035 a0.134 ± 0.029 bn.d.n.d.
Flavonols18.521 ± 1.489 a14.119 ± 1.376 b23.132 ± 1.197 A4.973 ± 0.244 B
Naringenin hexoside 10.366 ± 0.048 b0.656 ± 0.077 an.d.n.d.
Naringenin hexoside 20.033 ± 0.007 a0.019 ± 0.002 bn.d.n.d.
Naringenin hexoside 30.046 ± 0.008 a0.023 ± 0.002 bn.d.n.d.
Naringenin hexoside 40.332 ± 0.053 b0.572 ± 0.033 an.d.n.d.
Flavanones0.776 ± 0.086 b1.269 ± 0.086 an.d.n.d.
Vescalagin isomer 180.705 ± 4.531 a54.298 ± 6.480 bn.d.n.d.
Vescalagin isomer 213.442 ± 0.706 b27.364 ± 1.128 an.d.n.d.
HHDP galloylhexose11.989 ± 1.830 a8.659 ± 0.500 bn.d.n.d.
HHDP digalloylhexose
isomer
1.749 ± 0.3436 a0.715 ± 0.029 bn.d.n.d.
Ellagitannins107.431 ± 4.019 a91.035 ± 6.712 bn.d.n.d.
Apigenin hexoside0.669 ± 0.107 a0.142 ± 0.010 bn.d.n.d.
Flavones0.669 ± 0.107 a0.142 ± 0.010 bn.d.n.d.
TOTAL189.541 ± 9.473 a129.182 ± 7.002 b65.841 ± 0.560 A12.048 ± 0.741 B
The external standards used: caffeic acid, apigenin-7-glucoside, ferulic acid, quercetin-3-O-rhamnoside, neochlorogenic (3-caffeoylquinic) acid, naringenin, ellagic acid, gallic acid, chlorogenic acid, and rutin (quercetin-3-O-rutinoside); (-)epicatechin, quercetin-3-O-galactoside, quercetin-3-O-glucoside, p-coumaric acid, procyanidin B1, and kaempferol-O-glucoside; quercetin-3-O-xyloside and quercetin-3-O-arabinopyranoside; and isorhamnetin-3-O-glucoside.
The highest numbers of individual compounds for leaf and flower extracts in H. tuberosus were identified in the HCA group (19 and 16, respectively), followed by flavonols (14 and 16, respectively) (Table 1). Kaszás et al. [47] also identified 18 flavonoids in leaf extracts of the same species, noting that the samples were mechanically pressed into a green juice. This process retained the vacuoles, which are the primary storage sites for soluble flavonoids. A similar distribution of the individual compounds was found for A. altissima leaf and flower extracts, with a dominant HCA group (16 and 14, respectively) and flavonols (17 and 16, respectively) (Table 1). Compared to our previous research [20], this study identified a higher number of individual phenolic compounds within the main groups and higher overall concentrations in those groups. The observed difference could be attributed to variations in sampling locations and climate conditions. In other research on aerial parts of A. altissima in Portugal [39], HCA were the dominant group of phenolics.
Figure 3. The main phenolic groups obtained by the LC-DAD-MS method in the leaf (and flower ethanolic extracts of (A) Ailanthus altissima and (B) Helianthus tuberosus. The ratio of the circles’ sizes corresponds to the total concentration of individual phenolic groups (mg/g of dry weight (DW)). The circle border indicates statistically significant differences between concentrations of individual phenolic groups between the plant organs (one-way ANOVA and LSD test, p ≤ 0.01). Antioxidants 14 00677 i001 A. altissima leaf extract; Antioxidants 14 00677 i002 A. altissima flower extract; Antioxidants 14 00677 i003 H. tuberosus leaf extract; Antioxidants 14 00677 i004 H. tuberosus flower extract.
Figure 3. The main phenolic groups obtained by the LC-DAD-MS method in the leaf (and flower ethanolic extracts of (A) Ailanthus altissima and (B) Helianthus tuberosus. The ratio of the circles’ sizes corresponds to the total concentration of individual phenolic groups (mg/g of dry weight (DW)). The circle border indicates statistically significant differences between concentrations of individual phenolic groups between the plant organs (one-way ANOVA and LSD test, p ≤ 0.01). Antioxidants 14 00677 i001 A. altissima leaf extract; Antioxidants 14 00677 i002 A. altissima flower extract; Antioxidants 14 00677 i003 H. tuberosus leaf extract; Antioxidants 14 00677 i004 H. tuberosus flower extract.
Antioxidants 14 00677 g003
Ellagitannins dominated A. altissima extracts (56–70% of total phenolics; Table 1, Figure 3A), with vescalagin (castalagin) isomers emerging as the major compounds in both leaves and flowers (Table 1, Figure 4). Vescalagin isomers in leaves (94 mg/g DW) and flowers (82 mg/g DW) exceeded the concentrations reported in prior studies [20]. This compound has previously been associated with oak and chestnut species [48]. It is known to have the potential to prevent the progression of diabetes mellitus, antitumor properties, and bactericidal activity against methicillin-resistant bacteria, including MRSA and MRSE [49,50,51]. Ellagic acid derivatives and HHDP galloyl hexose represented some of the predominant constituents in the leaf extracts, with concentrations of 22.5 mg/g DW and 11.9 mg/g DW, respectively. Notably, HHDP galloyl hexose was also found in significant amounts in the flower extracts, reaching 8.7 mg/g DW (Table 1; Figure 4). These naturally occurring phenolics are common in various plant species, particularly fruits like cranberries [52]. Ellagic acid (Figure 4), isolated from an 85% methanol extract of A. altissima leaves, demonstrated strong antiradical activity (IC50 = 2.26 µg/mL), outperforming ascorbic acid (IC50 = 6.44 µg/mL) [19]. The flavonol quercetin-3-glucoside was detected in leaf ethanol extracts at 8.03 mg/g DW. Known for its protective effects against alcohol-induced liver damage, this compound has been studied for its hepatoprotective properties [53]. In A. altissima flower extracts, epicatechin was notably abundant (5.6 mg/g DW) (Table 1). Previous studies reported lower concentrations in leaves and flowers (0.25 and 0.14 mg/g DW, respectively) [17], and similar findings were confirmed by Andonova et al. [21], who recorded the highest levels in stems (0.54 mg/g DW). Epicatechin (Figure 4), a flavanol found in tea, cocoa, and various fruits and vegetables, has been linked to cardiovascular, metabolic, and neuroprotective benefits [54,55]. Beyond human health, it may also function as an allelochemical, affecting soil biota and chemistry [17].
Chlorogenic acid isomers, a key subgroup of non-flavonoid phenolics, are characteristic of the Asteraceae family and were abundant in H. tuberosus extracts [47]. Hydroxycinnamic acids dominated the leaf and flower extracts, accounting for 62% and 55% of total phenolics, respectively (Table 1, Figure 3B). The primary compound in both was 5-caffeoylquinic acid 1 (chlorogenic acid; Figure 5), present at 25.3 mg/g DW in leaves and 2.05 mg/g DW in flowers (Table 1). Previous studies also identified chlorogenic acid as the main compound in leaf and tuber ethanol extracts [25,56,57,58]. Due to its chemical instability, chlorogenic acid readily forms isomers, including other caffeoylquinic acids, dicaffeoylquinic acids, and hydroxycinnamic acid–quinic acid complexes [59,60]. These isomers maintain strong biological activity, particularly anti-inflammatory and antioxidant effects [61]. Zhang and Kim [62] confirmed the antioxidant potential of H. tuberosus tuber extract on A549 human lung epithelial cells. Similarly, Jantaharn et al. [63] reported moderate growth inhibition of colon cancer HCT116 cells by phenolics such as ent-kaurenoic acid, 8-methoxyobiquin, and isoliquiritigenin from flower extracts. According to Zhu et al. [64], treatment with leaf extracts led to a reduction in oxidative stress within cultured human neuroblastoma HTB-11 cells. Besides chlorogenic acid, other caffeic acid derivatives (Figure 5) also contributed to antioxidant activity. Dicaffeoylquinic acid 2 was found in leaf extracts at 5.88 mg/g DW (Table 1, Figure 5). Compounds such as 1,5- and 3,5-dicaffeoylquinic acids demonstrated strong radical-scavenging activity in DPPH and ABTS assays, with SC50 values between 2.79 and 5.08 µM [44]. Among flavonoids, kaempferol-3-glucuronide (7.13 mg/g DW) and quercetin-3-glucuronide (5.01 mg/g DW) were the major compounds in leaf extracts (Table 1, Figure 5).
Glucose and glucuronic acid are among the most common sugar substituents in these compounds [65]. Flavonoid glucuronides like quercetin-3-O-glucuronide are noted for their anti-inflammatory and neuroprotective properties [66]. Flavonoids also act as antioxidants by donating electrons or protons to neutralize reactive oxygen species and halt lipid peroxidation, or by chelating pro-oxidant metals [67,68].
PCA was performed to identify the phenolic compounds most responsible for antioxidant capacity (Figure 4). For A. altissima, the first two principal components explained 89.55% of the total variance (PC1: 77.67%, PC2: 11.88%), while for H. tuberosus, they accounted for 91.9% (PC1: 80.72%, PC2: 11.18%). Clear separation was observed between extraction solvents along PC1, with ethanol extracts showing higher antioxidant capacity than methanol extracts for both species. Additionally, organ-specific separation was evident along PC2, distinguishing flower from leaf extracts. The loadings plots (Figure 6B,D) revealed that ABTS, DPPH, and FRAP assays clustered together in the positive PC1 direction, indicating their strong intercorrelation. For A. altissima, compounds 2, 3, 7, 11, 17, 20, 56, and 59 loaded in the same direction as the antioxidant assays, suggesting these phenolics (primarily ellagitannins and HCA derivatives) are the major contributors to antioxidant capacity, confirming the correlations presented in Tables S2 and S3. In H. tuberosus, compounds 8, 11, 14, 15, 17, 19, 25, 28, and 29 (predominantly hydroxycinnamic acids and flavonols, including chlorogenic acid derivatives) showed the strongest associations with antioxidant activity. These results confirm that ellagitannins in A. altissima and hydroxycinnamic acids in H. tuberosus are the primary bioactive compounds responsible for the observed antioxidant properties.
A. altissima, traditionally a valuable medicinal resource in Asia, possesses the potential to treat a wide variety of ailments. Despite its widespread presence in Croatia and Europe in general, it holds limited economic importance. Its economic use remains limited, primarily to honey production and soil remediation [8]. Nevertheless, its demonstrated antimicrobial and antioxidant activities suggest promising pharmaceutical applications [16]. Conversely, H. tuberosus has a longer tradition of local use, with its tubers consumed as food and recognized for their functional properties [69]. Comparative analysis with published data from other Balkan regions, including Serbia, Romania, and Bulgaria [17,21,70], reveals that our Istrian samples of A. altissima and H. tuberosus generally contain higher concentrations of some key phenolic compounds, such as caffeic acid, rutin, epicatechin, and quercetin and kaempferol derivatives. These findings suggest that specific environmental factors in the Istrian region may promote the accumulation of bioactive phenolics, contributing to the distinct phytochemical profiles observed in these invasive species. Overall, our findings underscore the potential to valorize A. altissima and H. tuberosus as sources of bioactive compounds and functional foods, supporting local economies and advancing sustainable management strategies.
In addition to their potential value as sources of bioactive compounds and functional foods, the targeted and sustainable utilization of these species’ biomass could serve as a complementary approach to controlling their spread. Harvesting these species for phytopharmaceutical or food applications does not promote their cultivation but rather supports their removal from natural habitats, aligning with integrated invasive species management strategies that emphasize both ecological restoration and resource recovery. This dual approach can help mitigate the negative impacts of invasive plants on biodiversity and ecosystem function, while also providing economic and societal benefits.

4. Conclusions

This study presents the first comprehensive phytochemical profiling of Ailanthus altissima flowers and both leaf and flower extracts of Helianthus tuberosus from the Istrian region, Croatia, expanding on our previous work on A. altissima leaves. Through targeted LC-DAD-MS analysis and multiple antioxidant assays, we confirmed high concentrations of phenolic compounds—particularly ellagitannins in A. altissima and hydroxycinnamic acids in H. tuberosus—that corresponded strongly with antioxidant capacity. The identification of 45 species-specific and 8 organ-specific phenolic compounds underscores the phytochemical uniqueness of both taxa. Aside from the leaves, vescalagin isomers were dominant in A. altissima flowers also, marking the first report of their occurrence in the flowers of this species in Croatia, while chlorogenic acid was confirmed as the primary antioxidant compound in H. tuberosus. Strong correlations (r > 0.9) were observed between phenolic content and antioxidant activity, particularly in ethanolic extracts and leaf tissues, suggesting these combinations are most promising for future applications. These findings align with all three objectives, providing robust evidence that invasive alien plant species represent an underutilized but valuable resource for sustainable phytopharmaceutical development. Local communities could leverage these invasive species for antioxidant-rich extracts, aligning with circular economy principles by transforming ecological threats into commercial resources. This research not only advances the phytochemical understanding of two ecologically significant species but also highlights their practical relevance in natural antioxidant discovery, potentially guiding future functional food, cosmetic, and pharmaceutical innovations.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antiox14060677/s1, Table S1: The concentrations of total phenolics (TP), total non-flavonoids (TNF), total flavonoids (TF), and antioxidant capacity (obtained by DPPH, ABTS, and FRAP assays) in A. altissima and H. tuberosus leaf and flower extracts in two solvents; Table S2: Pearson’s correlation coefficients (two-tailed) between total phenolic (TP), total non-flavonoids (TNF) and total flavonoids (TF) contents, main phenolic groups, and antioxidant capacity (obtained by DPPH, ABTS, and FRAP assays); Table S3 Pearson’s correlation coefficients (two-tailed) between selected individual phenolic compounds and antioxidant capacity (obtained by DPPH, ABTS, and FRAP assays); Table S4 Pearson’s correlation coefficients (two-tailed) between individual phenolic compounds and antioxidant capacity (obtained by DPPH, ABTS, and FRAP assays); Table S5: Phenolic compounds of Ailanthus altissima (Mill.) Swingle and Helianthus tuberosus L. leaf and flower extracts identified by LC-DAD-MS in two solvents; Table S6: Individual compounds used for PCA analysis.

Author Contributions

Conceptualization, D.P. and B.S.; methodology, D.P., M.M.-P., I.Š., J.B. and S.D.; validation, S.D. and M.M.-P.; formal analysis, M.U.B., I.Š., J.B., S.D. and M.M.-P.; investigation, M.U.B., B.S. and D.P.; resources, D.P., M.M.-P. and J.B.; data curation, M.U.B., S.D., D.P., J.B. and B.S.; writing—original draft preparation, M.U.B., D.P. and I.Š.; writing—review and editing, M.U.B., D.P., I.Š., B.S., J.B., M.M.-P. and S.D.; visualization, D.P. and M.U.B.; project administration, D.P.; funding acquisition, D.P. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Croatian Science Foundation under the project numbers HRZZ-IP-2020-02-6899 and DOK-2021-02-3094.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author(s).

Acknowledgments

We especially thank Slavko Brana and the Istrian Botanical Society for their help in the fieldwork and availability.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Figure 4. The structures of the main compounds found in leaf and flower extracts of A. altissima (PubChem; available online: https://pubchem.ncbi.nlm.nih.gov/ (accessed on 20 May 2025)).
Figure 4. The structures of the main compounds found in leaf and flower extracts of A. altissima (PubChem; available online: https://pubchem.ncbi.nlm.nih.gov/ (accessed on 20 May 2025)).
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Figure 5. The structures of four main compounds found in leaf and flower extracts of H. tuberosus (PubChem; available online: https://pubchem.ncbi.nlm.nih.gov/ (accessed on 20 May 2025)).
Figure 5. The structures of four main compounds found in leaf and flower extracts of H. tuberosus (PubChem; available online: https://pubchem.ncbi.nlm.nih.gov/ (accessed on 20 May 2025)).
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Figure 6. Principal component analysis (PCA) of the individual metabolites in leaf (L) and flower (F) extracts in two solvents (EtOH, MeOH) and antioxidant capacity measured by three assays (ABTS, DPPH, FRAP) in (A,B) Ailanthus altissima and (C,D) Helianthus tuberosus. Numbers (1–60) are related to the individual identified phenolics, as depicted in the Table S6.
Figure 6. Principal component analysis (PCA) of the individual metabolites in leaf (L) and flower (F) extracts in two solvents (EtOH, MeOH) and antioxidant capacity measured by three assays (ABTS, DPPH, FRAP) in (A,B) Ailanthus altissima and (C,D) Helianthus tuberosus. Numbers (1–60) are related to the individual identified phenolics, as depicted in the Table S6.
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Božac, M.U.; Poljuha, D.; Dudaš, S.; Bilić, J.; Šola, I.; Mikulič-Petkovšek, M.; Sladonja, B. Phytochemical Profile and Antioxidant Properties of Invasive Plants Ailanthus altissima (Mill.) Swingle and Helianthus tuberosus L. in Istria Region, Croatia. Antioxidants 2025, 14, 677. https://doi.org/10.3390/antiox14060677

AMA Style

Božac MU, Poljuha D, Dudaš S, Bilić J, Šola I, Mikulič-Petkovšek M, Sladonja B. Phytochemical Profile and Antioxidant Properties of Invasive Plants Ailanthus altissima (Mill.) Swingle and Helianthus tuberosus L. in Istria Region, Croatia. Antioxidants. 2025; 14(6):677. https://doi.org/10.3390/antiox14060677

Chicago/Turabian Style

Božac, Mirela Uzelac, Danijela Poljuha, Slavica Dudaš, Josipa Bilić, Ivana Šola, Maja Mikulič-Petkovšek, and Barbara Sladonja. 2025. "Phytochemical Profile and Antioxidant Properties of Invasive Plants Ailanthus altissima (Mill.) Swingle and Helianthus tuberosus L. in Istria Region, Croatia" Antioxidants 14, no. 6: 677. https://doi.org/10.3390/antiox14060677

APA Style

Božac, M. U., Poljuha, D., Dudaš, S., Bilić, J., Šola, I., Mikulič-Petkovšek, M., & Sladonja, B. (2025). Phytochemical Profile and Antioxidant Properties of Invasive Plants Ailanthus altissima (Mill.) Swingle and Helianthus tuberosus L. in Istria Region, Croatia. Antioxidants, 14(6), 677. https://doi.org/10.3390/antiox14060677

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