Next Article in Journal
The Effect of Short-Term and High-Intensity Functional Circuit Training on Plasma Lipidome Profiles of People Living with and Without HIV
Previous Article in Journal
Profiling Serum Oxylipin Metabolites Across Melanoma Subtypes and Immunotherapy Responders
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Multi-Analytical Insight into the Non-Volatile Phytochemical Composition of Coleus aromaticus (Roxb.) Benth.

1
Department of Environmental Biology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
2
Department of Chemistry, University of Rome Sapienza, Piazzale Aldo Moro 5, 00185 Rome, Italy
3
NMR-Based Metabolomics Laboratory (NMLab), Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
4
Interdepartmental Center of Applied Sciences for the Protection of the Environment and Cultural Heritage (CIABC), Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
*
Author to whom correspondence should be addressed.
Metabolites 2026, 16(1), 15; https://doi.org/10.3390/metabo16010015
Submission received: 27 November 2025 / Revised: 18 December 2025 / Accepted: 19 December 2025 / Published: 23 December 2025

Abstract

Background/Objectives: Coleus aromaticus (Lamiaceae), also known as Cuban oregano or Indian borage, is a semi-succulent perennial species widely used in traditional medicine for its therapeutic and nutritional properties. While its essential oils and aromatic fraction have been extensively investigated, the characterization of its non-volatile metabolites remains limited. The aim of this study was to explore the chemical composition of fresh leaves with a focus on the non-volatile fraction. Methods: Fresh leaves of C. aromaticus were cryogenically treated with liquid nitrogen, ground, and subjected to three different extraction procedures: hydroalcoholic maceration, ethyl acetate maceration, and liquid–liquid partitioning to obtain a dichloromethane organic phase and a hydroalcoholic phase. Extracts and fractions were analyzed by HPTLC and HPLC for metabolic profiling. In addition, the Bligh–Dyer method was applied to separate polar and non-polar metabolites, which were subsequently characterized using NMR spectroscopy. Results: Chromatographic analyses highlighted the occurrence and distribution of organic acids, polyphenols (notably flavonoids), and proteinogenic amino acids. Spectroscopic data confirmed the presence of diverse polar and non-polar metabolites, providing a more detailed chemical fingerprint of C. aromaticus. This integrated approach broadened the phytochemical profile of the species beyond the well-documented essential oils. Conclusions: The results contribute to a better understanding of the non-volatile metabolites of C. aromaticus, offering novel insights into its chemical diversity. These findings highlight the potential of this plant as a valuable source of bioactive compounds, supporting its future application in nutraceutical and pharmaceutical research.

Graphical Abstract

1. Introduction

Coleus aromaticus (Roxb.) Benth. is a perennial, succulent herb characterized by numerous stems. The leaves are fleshy, gray-green in color, ranging from broadly ovate to ovate-deltoid, densely pubescent, with prominent veins on the abaxial surface, and emit a characteristic odor [1]. Figure 1 shows photographs of Coleus aromaticus.
The genus Coleus belongs to the family Lamiaceae and comprises about 294 species, mainly distributed in tropical and subtropical regions of Africa, Asia, and Australia, as well as in the East Indies, the Malay Archipelago, and the Philippines. These are herbaceous plants or small shrubs, often cultivated as ornamentals for their brightly colored and decorative foliage. Some species have aromatic leaves and are employed in traditional medicine or culinary practices. Recent phylogenetic studies have redefined the boundaries of the genus, distinguishing it from Plectranthus and Equilabium [2,3,4].
Several synonyms are reported for this plant, including Coleus amboinicus Lour. and Plectranthus amboinicus (Lour.) Spreng., as well as many common names such as Cuban oregano, Indian borage, and country borage, among others.
Coleus aromaticus is extensively employed in the culinary field, where it is consumed raw, used as a flavoring agent in various dishes, or added to aromatize beverages.
It has a long history of use in traditional medicine: in Indian Ayurvedic practice, it is regarded as one of the botanical sources of Pashanabheda, a term that refers to a group of plants commonly employed for their diuretic and litholytic properties, especially in the management of urinary stones [2,3,4,5].
Leaves are also widely employed for the treatment of respiratory ailments (cough, asthma, bronchitis, sore throat, congestion) and digestive disorders (indigestion, dyspepsia, dysentery, diarrhea, colitis) [3,6]. They are used against fever, headache, epilepsy, convulsions, colic, rheumatism, whooping cough, helminthiasis, and skin infections [4]. Traditional preparations include decoctions (sometimes enriched with cardamom, cloves, and honey) and juices mixed with honey or sugar, used for colds, respiratory infections, and as carminatives [3].
From a pharmacological perspective, the leaves exhibit antioxidant, antimicrobial, antimutagenic, antitumor, radioprotective, neuropharmacological, and antiepileptic activities [4,7,8,9,10,11,12].
Overall, data in the literature suggest that this species may represent an important source of biologically active compounds. Previous studies have mainly focused on the composition of the essential oil, whereas the non-volatile fraction has been scarcely investigated. In some cases, studies report only the content of broad classes of compounds, such as flavonoids, saponins, alkaloids, or tannins, by preliminary and general assays, merely indicating their presence or absence, without identifying the individual metabolites [13]. In particular, volatile constituents have been obtained by hydrodistillation or steam distillation and characterized mainly by GC and GC–MS, including SPME-based approaches; in the essential oil high concentrations of carvacrol and thymol, together with eugenol, chavicol and eucalyptol are present [4,14].
Column chromatography allowed the identification of twelve compounds from the leaves of C. aromaticus, belonging to the classes of flavonoids (n = 4), benzenoids (n = 3), quinones (n = 1), steroids (n = 3) and one lignan. Their structures were elucidated using spectroscopic techniques [9].
Moreover, phytochemical screening of leaves, stems, and roots showed the presence in all organs of volatiles constituents as well as non-volatiles such as sterols/triterpenes, flavonoids, carbohydrates/glycosides and catechin tannins. Roots in particular displayed the highest contents of carbohydrates, soluble sugars and proteins, followed by leaves and stems. All organs were also rich in vitamins and contained moderate levels of essential amino acids [13].
In the present work, we aimed to characterize the non-volatile metabolites, both polar and non-polar, occurring in the leaves of C. aromaticus. To this end, and building upon our expertise, we analyzed proteinogenic amino acids (both essential and non-essential), organic acids, and polyphenols, by combining chromatographic methods (HPTLC and HPLC) with NMR spectroscopic techniques.
From an analytical standpoint, comprehensive phytochemical investigations benefit from the integration of complementary methodologies capable of addressing the chemical diversity and concentration range of plant metabolites. In particular, a targeted metabolomic approach allows focused characterization of selected metabolite classes with known or suspected biological relevance. Chromatographic techniques such as HPLC and HPTLC remain central in this context: HPLC provides high-resolution separation and accurate quantification of individual compounds, whereas HPTLC represents a flexible and efficient tool for phytochemical fingerprinting, comparative profiling, and semi-quantitative analysis of complex non-volatile fractions, and is especially valuable in herbal and medicinal plant research. When combined with NMR spectroscopy, which offers robust structural elucidation and unequivocal metabolite identification, this integrated analytical strategy enables reliable characterization of both polar and non-polar constituents. The effectiveness of this approach for plant metabolite profiling has been previously demonstrated in our recent work and forms the methodological basis for the present investigation of the non-volatile metabolome of C. aromaticus leaves [15].

2. Materials and Methods

2.1. Chemicals and Reagents

Standards and solvents were purchased from Sigma (Sigma-Aldrich, Milano, Italy). All chemicals and solvents were of analytical grade.
A complete list of all chemical reagents and standards used is provided in a dedicated paragraph in the Supplementary Materials.

2.2. Samples Collection and Extract Preparation

Coleus aromaticus was collected at the experimental garden of the Department of Environmental Botany, Sapienza University of Rome, Italy. Fresh leaves of C. aromaticus were weighed, immersed in liquid nitrogen, and subsequently ground in a steel mortar with pestle. Different extraction methods were applied in order to obtain a comprehensive profile of non-volatile secondary metabolites and free proteinogenic amino acids. The procedures adopted, reported in Table 1, included: hydroalcoholic maceration, maceration in AcOEt, MeOH/DCM/H2O partitioning, and the Bligh–Dyer method. All procedures were performed in triplicate, yielding the following sets of samples: Bligh–Dyer extracts (BDE1, BDE2, BDE3), hydroalcoholic macerates (HAM1, HAM2, HAM3), ethyl acetate macerates (EAM1, EAM2, EAM3) and, from the MeOH/DCM/H2O partitioning, both organic phases (OP1, OP2, OP3) and hydroalcoholic phases (HAP1, HAP2, HAP3). To obtain the macerates and partitioning mixtures, after addition of the extraction solvents, the samples were shaken on a rotary shaker (150 rpm) at 25 °C for 24 h. Subsequently, they were then filtered through filter paper, the phases resulting from partitioning were separated, and the solvents were removed using a rotary evaporator. The hydroalcoholic macerates and the hydroalcoholic fractions obtained from liquid–liquid partition were concentrated under reduced pressure and subjected to lyophilization for 24 h to achieve complete removal of residual water.
The BD extract was obtained using a different procedure and was employed exclusively for the NMR analyses. Leaves were weighed and extracted following a modified Bligh-Dyer protocol [16]. Each sample was homogenized and grounded in a mortar under liquid nitrogen. The solvents added in order were: 3 mL of cold methanol, 3 mL of cold chloroform and 1.5 mL of water to the homogenized samples. The mixture was stirred after each solvent addition. Samples were later stored at 4 °C overnight. The samples were then centrifuged for 30 min at 4 °C, with a rotation speed of 11,000 rpm. The upper hydrophilic and lower lipophilic phases were separated and dried under nitrogen flow. Dry samples were stored at −80 °C until use.
For HPTLC analysis, an aliquot of each extract was diluted with the appropriate solvent to obtain a final concentration of 5 mg/mL. Reference standards were dissolved individually in methanol at a concentration of 1 mg/mL. All solutions were stored at 4 °C until use.
For HPLC analysis, an aliquot of each extract was diluted with the appropriate solvent to obtain a final concentration of 5 mg/mL. All samples were dissolved in HPLC-grade methanol, except for the hydroalcoholic phases, which were solubilized in a MeOH (HPLC)/H2O (milliQ) mixture (2:1, v/v), maintaining the same final concentration (5 mg/mL). Reference standards were individually prepared in methanol at 0.05 mg/mL, except for apigenin, which was prepared at 0.125 mg/mL. All solutions were stored at 4 °C until use.

2.3. HPTLC Analysis

Samples and standards were applied to HPTLC Silica Gel 60 F254 20 × 10 cm plates (Merck, Darmstadt, Germany) using the automatic sampler (ATS 4, Camag, Muttenz, Switzerland). The extracts were applied by an automated ‘spray-on’ technique under a N2 flow at a rate of 100 nL/s, with a volume of 6 µL per application for organic acids and flavonoids, 12 µL for amino acids, and 1 µL for standards.
Plate development was performed in an Automatic Developing Chamber 2 (ADC2, Camag, Switzerland) using the selected mobile phase for both development and saturation. Different mobile phases were applied depending on the chemical class under investigation: for flavonoids and organic acids, ethyl acetate/dichloromethane/acetic acid/formic acid/water (100:25:10:10:11 v/v); for amino acids, two different systems were employed, namely 1-butanol/acetone/acetic acid/water (7:7:2:4 v/v) and 1-butanol/acetic acid/water/formic acid (28:9:8:2 v/v). In all cases, the solvent front was allowed to migrate 7 cm from the lower edge of the plate. The selection of developmental solvents (solvent type and ratios) was based on literature references and prior expertise [15,17,18].
After development, plates were dried at 120 °C for 5 min and visualized under UV 254 nm, UV 366 nm, and white light. Densitometric analysis of flavonoids and organic acids was carried out using a TLC Scanner 4 (Camag, Switzerland) at 254, 272, and 330 nm, with UV spectra recorded between 190 and 550 nm. Derivatization was performed with natural product reagent/anisaldehyde for flavonoids and organic acids, and ninhydrin for amino acids, followed by drying at 120 °C for 5 min and documentation under UV 366 nm and white light.

2.4. HPLC Analysis

HPLC-DAD analyses were carried out using a Nexera XR system (Shimadzu, Kyoto, Japan) equipped with a photodiode array detector (DAD, SPD-M40), an autosampler (SIL-40C XR), a quaternary pump (LC-40D XR), a degassing unit (DGU-405), a system controller (CBM-40), a thermostated column oven (CTO-40S), and a Shim-pack Velox C18 chromatographic column (150 mm × 3.0 mm, 2.7 μm).
Samples and standards were prepared as described in Section 4.2. Each final solution (3 μL injected) was analyzed by HPLC-DAD under the following conditions: mobile phase A, Milli-Q water with 0.05% H3PO4; mobile phase B, acetonitrile with 0.05% H3PO4. The flow rate was set at 0.40 mL/min, with the following gradient program: 0–5 min, 5% B; 5–35 min, 40% B; 35–36 min, 100% B; 36–51 min, 100% B; 51–52 min, 5% B; 53–67 min, 5% B. The PDA detector acquired one UV–Vis spectrum per second over the range 190–800 nm.

2.5. NMR Analysis

The BD hydrophilic phase was resuspended in 0.7 mL of D2O containing 3-(trimethylsilyl)-propionic-2,2,3,3-d4 acid sodium salt (TSP, 2 mM), the lipophilic phase was resuspended in 0.7 mL of CDCl3 containing hexamethyldisiloxane (HMS, 2 mM), as internal and chemical shift reference standards. The samples thus prepared were analyzed by 1H-NMR.
For the NMR experiments a JNM-ECZ 600R (JEOL Ltd., Tokyo, Japan) spectrometer operating at the proton frequency of 600 MHz and equipped with a multinuclear gradient inverse probe head, working at 298 K, was employed. For the hydrophilic phase, monodimensional 1H experiments employed a presaturation pulse sequence for water suppression, using a time length of 2 s, a spectral width of 9.03 kHz and 64 k data points, corresponding to an acquisition time of 5.81 s. The pulse length of 90° flip angle was set to 8.3 μs, the recycle delay was set to 5.72 s. Similar parameters were employed for the lipophilic phase, without the presaturation sequence for water suppression. Spectral assignment was carried out based on chemical shift, multiplicity, J couplings, 1H-1H TOCSY and 1H-13C HSQC correlations, following the protocol reported by Sciubba et al., 2020 [18] with the bidimensional experiments following spectral parameters reported by Spinelli et al., 2022 [19]. The putative assignments were corroborated by databases and literature compilations [13,20,21].
Bidimensional spectra 1H-1H TOCSY and 1H-13C HSQC of both BD-HAP and BD-lipophilic extract are reported in Supplementary Figures S1–S4.
Quantification of metabolites was achieved by comparing integrals of non-overlapping and univocally assigned resonances (bold resonances reported in Supplementary Table S1), with the integral of the respective internal standards (for TSP 9 protons in the aqueous fraction, for HMS 18 protons in the lipophilic fraction), according to the general formula:
C m = A m A I S × H I S H m × C I S
where Cm stands for metabolite concentration, Am is the area of the metabolite signal, AIS is the area of the Internal Standard (IS) signal, HIS is the number of protons generating the IS signal, Hm is the number of protons generating the metabolite signal, CIS is the concentration of the IS. Metabolite concentrations were later normalized by fresh weight of the sample and expressed in mg/100 g (reported as mean ± standard deviation). Assigned spectra with quantified metabolites are reported in Supplementary Figures S5 and S6. Assigned spectral region with chosen resonances for each BD-phase extract are also reported in Supplementary Figures S5–S11.

3. Results

This study investigated the non-volatile fraction of C. aromaticus leaves, with particular focus on the content of amino acids, organic acids, and phenolic compounds. The analytical strategy was based on a combination of complementary techniques, namely HPTLC, HPLC, and NMR spectroscopy. This integrated approach, already applied in previous studies, combines the sensitivity of chromatographic techniques with the detailed structural information provided by NMR, ensuring a robust and accurate profiling of bioactive compounds.

3.1. Amino Acids Analysis

HPTLC analysis of amino acids was performed on all samples obtained using different extraction methods (HAM, EAM, OP, and HAP), considering all 20 proteinogenic amino acids (Figure 2). Based on current knowledge, no single mobile phase is capable of distinctly separating all amino acids, as some exhibit very similar Rf values. For this reason, two tests with different mobile phases were carried out. Nevertheless, for some amino acids the Rf values remained comparable, as will be discussed later.
The amino acids analyzed included alanine, arginine, asparagine, aspartic acid, cysteine, glutamic acid, glutamine, glycine, histidine, isoleucine, leucine, lysine, methionine, phenylalanine, proline, serine, threonine, tryptophan, tyrosine, and valine.
With the first mobile phase (1-butanol/acetone/acetic acid/water, 7:7:2:4 v/v), arginine (Rf 0.08), aspartic acid (Rf 0.24), asparagine (Rf 0.28), and glutamic acid (Rf 0.39) were clearly identified in the hydroalcoholic samples (HAP and HAM). However, alanine and threonine (Rf 0.43), as well as glutamine (Rf 0.34), proline (Rf 0.34), and serine (Rf 0.35), showed very similar Rf values. Using the second mobile phase (1-butanol/acetic acid/water/formic acid, 28:9:8:2 v/v), alanine (Rf 0.39) and threonine (Rf 0.36) could be distinguished, confirming the presence of alanine in both HAP and HAM; whereas glutamine (Rf 0.29), proline (Rf 0.30), and serine (Rf 0.33) still exhibited very similar Rf values. Despite this, the presence of both glutamine and serine in HAP and HAM is hypothesized.
As reported in Table 2, NMR analysis of the BD-HAP revealed and quantified the presence of non-aromatic amino acids alanine, asparagine, glutamine and threonine, further confirming what was identified with HPLC. Amongst them, non-proteinogenic GABA was also found and quantified.
The presence of aspartic acid was detected in the 1H-1H TOCSY spectrum but not quantified due to resonances overlapping with malic acid in the region of 2.8 ppm. Similarly, tyrosine was observed in the aromatic region thanks to the 1H-1H TOCSY correlations but was not quantified due to strong signals overlapping. The hypothesized presence of proline and serine could not be confirmed in the BD-HAP extract, probably due to lower quantities compared to NMR sensibility or general absence in the leaf matrix.
Overall, quantified amino acids in this extract account for 5% of the total sum of quantified compounds in mg/100 g of BD-HAP.

3.2. Organic Acids and Phenols

Unlike the amino acid analysis, the study of organic acids and flavonoids was carried out using a single mobile phase (Figure 3). This choice is supported by previous experience, which validated its effectiveness, as the spot coloration combined with double derivatization enables reliable identification of both chemical classes under identical conditions, even in cases of very similar Rf values. In any case, coupling with HPLC ensured the accuracy of the results.
The compounds analyzed included apigenin, caffeic acid, chlorogenic acid, cinnamic acid, gallic acid, luteolin, p-coumaric acid, quercetin, and rutin. Analyses performed on OP, HAP, HAM, and EAM samples clearly identified apigenin, caffeic acid, rosmarinic acid, and rutin, while the presence of quercetin was less well defined. Although gallic acid exhibits the same Rf as rosmarinic acid (0.75), its presence can be ruled out based on the spot coloration, as gallic acid would mask the rosmarinic acid spot, and the UV spectrum, which matches that of rosmarinic acid rather than gallic acid. Furthermore, HPLC analyses did not detect the presence of gallic acid. Table 3 reports the relative abundances in the different extracts together with the corresponding Rf values.
To confirm the HPTLC findings, HPLC analyses were performed using an optimized method described in the Materials and Methods. The separation resulted in well-resolved peaks, allowing unequivocal identification. In HAP and HAM, caffeic acid and rosmarinic acid were identified, while in EAM the presence of caffeic acid, luteolin, quercetin, and apigenin was detected (Figure 3). Retention times of the reference compounds are reported in the Supplementary Materials (Figure S12). HPLC analysis also revealed a peak with the same retention time as rutin (Rt 19.4 min); however, comparison of the UV spectra between the compound in the sample and the rutin standard showed significant differences, thereby excluding its presence. Consequently, the band previously attributed to rutin in the HPTLC analysis cannot be considered as such.
To confirm the HPTLC findings, HPLC analyses were performed using an optimized method described in the Materials and Methods. The separation resulted in well-resolved peaks, allowing unequivocal identification. In HAP and HAM, caffeic acid and rosmarinic acid were identified, while in EAM the presence of caffeic acid, luteolin, quercetin, and apigenin was detected (Figure 4). Retention times of the reference compounds are reported in the Supplementary Materials (Figure S12). HPLC analysis also revealed a peak with the same retention time as rutin (Rt 19.4 min); however, comparison of the UV spectra between the compound in the sample and the rutin standard showed significant differences, thereby excluding its presence. Consequently, the band previously attributed to rutin in the HPTLC analysis cannot be considered as such.
Several organic acids were identified and quantified in the 1H NMR BD-HAP, such as acetic, formic, fumaric and malic acids. Phenolic acids caffeic and rosmarinic were some of the most abundant metabolites in the extract (as reported in Table 4), respectively comprising 18% and 33% of the total sum of quantified compounds in BD-HAP.
p-Coumaric acid could not be detected in the BD-HAP, further confirming what was previously hypothesized as its presence in leaves. Similarly, the presence of gallic acid was also ruled out in the NMR spectra on the basis of the absence of diagnostic singlets in the 7 ppm region.
Amongst flavonoids quantified in NMR spectrum, only apigenin glycosides were found, labeled as U01 and U02 due to missing correlation in the HMBC spectrum for their glucosides. Assignation was carried out based on 1H signals on 6.51 and 6.59 and 7.22, 6.91 and 6.88 of C-5′,3′, 6′ and 2′. Interestingly, in this spectral region, no signals associated with ABX systems were detected (except for caffeic and rosmarinic acids), excluding the presence of rutin and quercetin glycosides in BD-HAP. This is further supported by what was observed by HPTLC and HPLC-UV spectrums (Figure 2, Table 3).
Regarding the aforementioned flavonoid, none of aglycones were not detected in 1H BD organic phase spectrum, due to the lower sensibility of the platform compared to the other techniques.
Carbohydrates quantified in the NMR spectrum accounted mostly for fructose and raffinose (8% and 5%, of the total metabolites extracted in the BD-HAP), followed by sucrose and glucose (Table 5). Lastly other metabolites extracted in this phase are choline and unknown compounds U03 and U04, putatively assigned as 2-hydroxy-3-methylbutyric acid and octenoic acid.
The metabolites and groups present in the BD-lipophilic phase are also reported in Table 5. The composition of this extract mainly accounts for saturated fatty acids (67% of the total sum), while the saturated moiety composes 19% of the total, divided in omega 9 (15%), omega 3 (3%) and omega 6 (0.5%). Other metabolites identified were sterols, such as β-sitosterol and camposterol and the lignan U05, putatively assigned as marlignan R from literature NMR data [22].

4. Discussion

4.1. Amino Acids Analysis

Given their chemical nature, amino acids are expected to be present in the hydroalcoholic samples (HAP and HAM) rather than in the ethyl acetate (EAM) or organic phase (OP). As shown by the chromatogram intensities of HAP and HAM, analyzed at the same concentration, HAP displays a higher amino acid content. This can be attributed to the liquid–liquid partitioning step used to obtain HAP: during this process, less polar constituents are selectively transferred into the OP fraction, enriching the remaining hydroalcoholic phase in polar compounds. In addition, the exposure to the organic solvent can disrupt cellular and subcellular structures more effectively than simple maceration, thereby promoting the release of polar metabolites normally retained within cells or organelles. Consequently, HAM, being a crude hydroalcoholic macerate, contains a broader and less selective range of metabolites, including semipolar and moderately apolar compounds, resulting in a lower relative abundance of amino acids compared with the polarity-enriched HAP fraction.
El-Hawary et al. (2012) identified glycine, histidine, isoleucine, leucine, lysine, phenylalanine, tyrosine, and valine, among others, in leaves, stems, and roots [13]. In that study, however, amino acids were determined using a spectrophotometric method after acid hydrolysis; therefore, they did not represent free amino acids, as in our case, but rather originated from the degradation of proteins and enzymes present in plant tissues. Overall, the 2012 study reported the presence of 15 out of the 20 proteinogenic amino acids, and currently represents the only available work in which the amino acid composition of this species has been investigated [23]. In comparison with that study, we also identified asparagine and glutamine, as also supported by NMR analysis described below.
In addition to proteinogenic amino acids, the presence and quantification of the non-proteinogenic amino acid GABA is particularly noteworthy. GABA is widely distributed in plant tissues, where it is mainly synthesized via the decarboxylation of glutamate through the GABA shunt [24,25]. GABA is thought to play a role in pathways involved in responses to abiotic and biotic stress, contributing to cytosolic pH regulation and redox balance, as well as promoting cellular protection by enhancing antioxidant systems and maintaining membrane integrity and metabolic stability [25,26,27]. It is also considered a metabolic signal involved in cell-to-cell communication and adaptation to abiotic stimuli [26]. Emerging evidence further suggests that GABA participates in modulating ion fluxes and membrane depolarization, thereby influencing growth responses under environmental constraints [28]. Overall, GABA contributes to the regulation of key processes such as growth, root development, and stomatal opening, representing an important physiological indicator of the plant’s status [26].

4.2. Organic Acids and Phenols

The results obtained are consistent with the scarce data available in the literature for this botanical species, except for p-coumaric acid and rutin [5,29]. In the first case, it can be hypothesized that in other studies the plant material analyzed included stems or a mixture of leaves and stems, and not only leaves as in our case. p-Coumaric acid is a key hydroxycinnamic acid in the phenylpropanoid pathway: a precursor of lignin, flavonoids, and other structural phenolics [30]. It also takes part in defense and stress responses, modulating ROS and hormonal signaling [31,32], but may also exert allelopathic effects [33]. Given these premises, particularly its role as a lignin precursor, it is plausible as we hypothesized that it is not present in the leaves but rather in the stems.
In the second case, as highlighted by both chromatographic techniques, a spot with the same Rf and coloration as rutin was observed in HPTLC, while in HPLC a peak with the same retention time but a different UV spectrum was detected. Analysis of the UV–Vis spectra helps clarify this discrepancy: apigenin shows two absorption maxima at 267 and 337 nm, rutin displays three characteristic peaks at 204, 257 and 354 nm, and quercetin presents maxima at 202, 225 and 371 nm (The UV spectra are available in the Supplementary Materials Figure S13). The unknown compound, despite sharing the same Rt as rutin, exhibits a UV spectrum with only two peaks at 262 and 348 nm, indicating that it does not match either rutin or quercetin. We therefore consider it plausible that the compound in question is a structurally related glycoside based on Rt similarity.
Moreover, considering that rutin consists of the flavonol quercetin (aglycone) linked to the disaccharide rutinose at position 3, and that its spectrum shows shifts compared to that of the aglycone quercetin, very similar to those observed between the unknown compound and apigenin, we hypothesize for the compound in question to be an apigenin glycoside. The spectral shifts observed in the UV spectrum are indeed consistent with the introduction of a sugar unit onto the flavonoid backbone.
In light of the NMR-based organic acids and phenols profile obtained in this study, overall discrepancies between the NMR-derived metabolite profile and literature data [34] may be attributed to genetic or pedoclimatic differences among plants grown under different conditions, to differences in analytical focus (e.g., volatile versus non-volatile compounds), or to metabolite concentrations below the detection limits of the analytical platform employed here.

5. Conclusions

Previous studies on C. aromaticus have not provided a comprehensive characterization of its non-volatile constituents. This gap is likely due to the plant’s strong and distinctive aroma, typical of the Lamiaceae family, which has primarily directed research toward its volatile fraction. However, owing to its aromatic properties, C. aromaticus is widely used in culinary applications, where the entire leaf is consumed, and it is also well known for its use in traditional medicine for the treatment of various ailments. Its long history of consumption and favorable safety profile make it an interesting candidate as a source of bioactive compounds with pharmaceutical and nutraceutical potential.
The present work focused on the non-volatile metabolite profile of C. aromaticus, with particular attention to free amino acids, organic acids, and flavonoids.
The analysis of free amino acids revealed the presence of eight proteinogenic amino acids, including two essential ones. Moreover, NMR analysis confirmed the occurrence of GABA—a metabolite of notable neuroactive relevance in humans.
Regarding organic acids and flavonoids, the study revealed a remarkably high content of rosmarinic acid, which represents the major phenolic component of the plant. Rosmarinic acid, a phenolic compound biosynthesized from tyrosine and phenylalanine, is widely distributed within the Lamiaceae and is well known for its antioxidant, anti-inflammatory, neuroprotective, and hypolipidemic activities. Several studies, both preclinical and clinical, have confirmed its beneficial effects on inflammation, metabolism, and cognitive functions [35]. Furthermore, rosmarinic acid has been shown to inhibit cancer cell proliferation, induce apoptosis, and prevent metastasis through multiple mechanisms, many of which are related to its antioxidant activity.
In addition to rosmarinic acid, other bioactive phenolic compounds such as caffeic acid, apigenin, luteolin, and quercetin were identified, all known for their antioxidant, anti-inflammatory, and cytoprotective properties. However, the predominance of rosmarinic acid in C. aromaticus indicates that it could contribute significantly to the overall biological potential of the plant.
Overall, this study highlights the added value of combining targeted chromatographic techniques (HPLC and HPTLC) with an untargeted NMR-based metabolomic approach, indeed enhancing the robustness of metabolite characterization. Taken together, the results indicate that Coleus aromaticus represents a promising natural source of bioactive compounds of pharmaceutical and nutraceutical interest, with rosmarinic acid emerging as the key metabolite of particular relevance.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/metabo16010015/s1, Figure S1: 1H-1H TOCSY spectrum of C. aromaticus leaves of BD-HAP extract; Figure S2: 1H-13C HSQC spectrum of C. aromaticus leaves of BD-HAP extract; Figure S3: 1H-1H TOCSY spectrum of C. aromaticus leaves of BD-lipophilic extract; Figure S4: 1H-13C HSQC spectrum of C. aromaticus leaves of BD-lipophilic extract; Figure S5: 1H spectrum of C. aromaticus leaves of BD-HAP extract; Figure S6: 1H spectrum of C. aromaticus leaves of BD-lipophilic extract; Figure S7: 1H spectrum of C. aromaticus leaves of BD-HAP extract; Figure S8: 1H spectrum of C. aromaticus leaves of BD-HAP extract; Figure S9: 1H spectrum of C. aromaticus leaves of BD-HAP extract; Figure S10: 1H spectrum of C. aromaticus leaves of BD-lipophilic extract; Figure S11: 1H spectrum of C. aromaticus leaves of BD-lipophilic extract; Figure S12: HPLC chromatograms of standards; Figure S13: UV–Vis spectra of (a) the unknown compound and the reference standards: (b) rutin, (c) apigenin, and (d) quercetin; Table S1: 1H and 13C spectrum assignment and resonances of C. aromaticus leaves.

Author Contributions

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

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No additional data are available in public repositories or on other platforms.

Acknowledgments

The authors gratefully acknowledge Duilio Iamonico for providing the stereomicroscopic images used in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
RfRetention factor
RtRetention time
HPLCHigh pressure liquid chromatography
HPTLCHigh-performance thin-layer chromatography
NMRNuclear magnetic resonance
BDEBligh–Dyer extracts
HAMHydroalcoholic macerate
EAMEthyl acetate macerate
OPOrganic phase
HAPHydroalcoholic phase
AlaAlanine
ArgArginine
AsnAsparagine
AspAspartic acid
CysCysteine
GluGlutamic Acid
GlyGlycine
HisHistidine
IleIsoleucine
LeuLeucine
LysLysine
MetMethionine
PhePhenylalanine
ProProline
SerSerine
ThrThreonine
TrpTryptophan
TyrTyrosine
ValValine
TSP3-(trimethylsilyl)-propionic-2,2,3,3-d4 acid sodium salt
HMSHexamethyldisiloxane

References

  1. WFO—The World Flora Online Plectranthus amboinicus (Lour.) Spreng. Available online: https://www.worldfloraonline.org/taxon/wfo-0000275221 (accessed on 27 November 2025).
  2. Paton, A.J.; Mwanyambo, M.; Govaerts, R.H.A.; Smitha, K.; Suddee, S.; Phillipson, P.B.; Wilson, T.C.; Forster, P.I.; Culham, A. Nomenclatural Changes in Coleus and Plectranthus (Lamiaceae): A Tale of More than Two Genera. PhytoKeys 2019, 129, 1–158. [Google Scholar] [CrossRef] [PubMed]
  3. Rout, O.P.; Acharya, R.; Mishra, S.K.; Sahoo, R. Pathorchur (Coleus aromaticus): A Review of the Medicinal Evidence for Its Phytochemistry and Pharmacology Properties. Int. J. Appl. Biol. Pharm. Technol. 2012, 3, 348–355. [Google Scholar]
  4. Wadikar, D.D.; Patki, P.E. Coleus aromaticus: A Therapeutic Herb with Multiple Potentials. J. Food Sci. Technol. 2016, 53, 2895–2901. [Google Scholar] [CrossRef]
  5. Bhatt, P.; Joseph, G.S.; Negi, P.S.; Varadaraj, M.C. Chemical Composition and Nutraceutical Potential of Indian Borage (Plectranthus amboinicus) Stem Extract. J. Chem. 2013, 2013, 320329. [Google Scholar] [CrossRef]
  6. Khare, R.S.; Banerjee, S.; Kundu, K. Coleus aromaticus Benth—A Nutritive Medicinal Plant of Potential Therapeutic Value. Int. J. Pharma Bio. Sci. 2011, 2, 488–500. [Google Scholar]
  7. Bhatt, P.; Negi, P.S. Antioxidant and Antibacterial Activities in the Leaf Extracts of Indian Borage (Plectranthus amboinicus). Food Nutr. Sci. 2012, 03, 146–152. [Google Scholar] [CrossRef]
  8. Kumaran, A.; Joel Karunakaran, R. Antioxidant and Free Radical Scavenging Activity of an Aqueous Extract of Coleus aromaticus. Food Chem. 2006, 97, 109–114. [Google Scholar] [CrossRef]
  9. Ruan, T.Z.; Kao, C.L.; Hsieh, Y.L.; Li, H.T.; Chen, C.Y. Chemical Constituents of the Leaves of Plectranthus amboinicus. Chem. Nat. Compd. 2019, 55, 124–126. [Google Scholar] [CrossRef]
  10. Rao, B.S.S.; Shanbhoge, R.; Upadhya, D.; Jagetia, G.; Kumar, P.; Guruprasad, K.; Gayathri, P. Antioxidant, Anticlastogenic and Radioprotective Effect of Coleus aromaticus on Chinese Hamster Fibroblast Cells (V79) Exposed to Gamma Radiation. Mutagenesis 2006, 21, 237–242. [Google Scholar] [CrossRef]
  11. Singh, G.; Singh, O.P.; Prasad, Y.R.; De Lampasona, M.P.; Catalan, C. Studies on Essential Oils, Part 33: Chemical and Insecticidal Investigations on Leaf Oil of Coleus amboinicus Lour. Flavour Fragr. J. 2002, 17, 440–442. [Google Scholar] [CrossRef]
  12. Kathiresan, R.M. Effect of Manuring, Drying Methods and Soaking Time on the Allelopathic Potential of Coleus amboinicus/aromaticus on Eichhornia crassipes. Res. J. Agric. Biol. Sci. 2007, 3, 723–726. [Google Scholar]
  13. El-Hawary, S.S.; El-sofany, R.H.; Abdel-Monem, A.R.; Ashour, R.S. Phytochemical Screening, DNA Fingerprinting, and Nutritional Value of Plectranthus amboinicus (Lour.) Spreng. Pharmacogn. J. 2012, 4, 10–13. [Google Scholar] [CrossRef]
  14. Tewari, G.; Pande, C.; Kharkwal, G.; Singh, S.; Singh, C. Phytochemical Study of Essential Oil from the Aerial Parts of Coleus aromaticus Benth. Nat. Prod. Res. 2012, 26, 182–185. [Google Scholar] [CrossRef]
  15. Toniolo, C.; Patriarca, A.; De Vita, D.; Santi, L.; Sciubba, F. A Comparative Multianalytical Approach to the Characterization of Different Grades of Matcha Tea (Camellia sinensis (L.) Kuntze). Plants 2025, 14, 1631. [Google Scholar] [CrossRef]
  16. Giampaoli, O.; Sciubba, F.; Conta, G.; Capuani, G.; Tomassini, A.; Giorgi, G.; Brasili, E.; Aureli, W.; Miccheli, A. Red Beetroot’s NMR-Based Metabolomics: Phytochemical Profile Related to Development Time and Production Year. Foods 2021, 10, 1887. [Google Scholar] [CrossRef] [PubMed]
  17. Reich, E.; Schibli, A.; Widmer, V.; Jorns, R.; Wolfram, E.; DeBatt, A. HPTLC Methods for Identification of Green Tea and Green Tea Extract. J. Liq. Chromatogr. Relat. Technol. 2006, 29, 2141–2151. [Google Scholar] [CrossRef]
  18. Sciubba, F.; Tomassini, A.; Giorgi, G.; Brasili, E.; Pasqua, G.; Capuani, G.; Aureli, W.; Miccheli, A. NMR-Based Metabolomic Study of Purple Carrot Optimal Harvest Time for Utilization as a Source of Bioactive Compounds. Appl. Sci. 2020, 10, 8493. [Google Scholar] [CrossRef]
  19. Spinelli, V.; Brasili, E.; Sciubba, F.; Ceci, A.; Giampaoli, O.; Miccheli, A.; Pasqua, G.; Persiani, A.M. Biostimulant Effects of Chaetomium globosum and Minimedusa polyspora Culture Filtrates on Cichorium Intybus Plant: Growth Performance and Metabolomic Traits. Front. Plant Sci. 2022, 13, 879076. [Google Scholar] [CrossRef]
  20. Wishart, D.S.; Sajed, T.; Pin, M.; Poynton, E.F.; Goel, B.; Lee, B.L.; Guo, A.C.; Saha, S.; Sayeeda, Z.; Han, S.; et al. The Natural Products Magnetic Resonance Database (NP-MRD) for 2025. Nucleic Acids Res. 2025, 53, D700–D708. [Google Scholar] [CrossRef]
  21. Baskaran, K.; Craft, D.L.; Eghbalnia, H.R.; Gryk, M.R.; Hoch, J.C.; Maciejewski, M.W.; Schuyler, A.D.; Wedell, J.R.; Wilburn, C.W. Merging NMR Data and Computation Facilitates Data-Centered Research. Front. Mol. Biosci. 2022, 8, 817175. [Google Scholar] [CrossRef]
  22. Michaeli, S.; Fromm, H. Closing the Loop on the GABA Shunt in Plants: Are GABA Metabolism and Signaling Entwined? Front. Plant Sci. 2015, 6, 419. [Google Scholar] [CrossRef]
  23. Li, L.; Dou, N.; Zhang, H.; Wu, C. The Versatile GABA in Plants. Plant Signal. Behav. 2021, 16, 1862565. [Google Scholar] [CrossRef]
  24. Sita, K.; Kumar, V. Role of Gamma Amino Butyric Acid (GABA) against Abiotic Stress Tolerance in Legumes: A Review. Plant Physiol. Rep. 2020, 25, 654–663. [Google Scholar] [CrossRef]
  25. Khan, M.I.R.; Jalil, S.U.; Chopra, P.; Chhillar, H.; Ferrante, A.; Khan, N.A.; Ansari, M.I. Role of GABA in Plant Growth, Development and Senescence. Plant Gene 2021, 26, 100283. [Google Scholar] [CrossRef]
  26. Ramesh, S.A.; Tyerman, S.D.; Xu, B.; Bose, J.; Kaur, S.; Conn, V.; Domingos, P.; Ullah, S.; Wege, S.; Shabala, S.; et al. GABA Signalling Modulates Plant Growth by Directly Regulating the Activity of Plant-Specific Anion Transporters. Nat. Commun. 2015, 6, 7879. [Google Scholar] [CrossRef]
  27. Arumugam, G.; Swamy, M.; Sinniah, U. Plectranthus amboinicus (Lour.) Spreng: Botanical, Phytochemical, Pharmacological and Nutritional Significance. Molecules 2016, 21, 369. [Google Scholar] [CrossRef] [PubMed]
  28. Hellinger, J.; Kim, H.; Ralph, J.; Karlen, S.D. P-Coumaroylation of Lignin Occurs Outside of Commelinid Monocots in the Eudicot Genus Morus (Mulberry). Plant Physiol. 2023, 191, 854–861. [Google Scholar] [CrossRef]
  29. Nkomo, M.; Gokul, A.; Keyster, M.; Klein, A. Exogenous P-Coumaric Acid Improves Salvia hispanica L. Seedling Shoot Growth. Plants 2019, 8, 546. [Google Scholar] [CrossRef]
  30. Nkomo, M.; Badiwe, M.; Niekerk, L.-A.; Gokul, A.; Keyster, M.; Klein, A. P-Coumaric Acid Differential Alters the Ion-Omics Profile of Chia Shoots under Salt Stress. Plants 2024, 13, 1564. [Google Scholar] [CrossRef] [PubMed]
  31. Jia, M.; Wang, X.; Zhu, X.; Du, Y.; Zhou, P.; Wang, G.; Wang, N.; Bai, Y. Accumulation of Coumaric Acid Is a Key Factor in Tobacco Continuous Cropping Obstacles. Front. Plant Sci. 2024, 15, 1477324. [Google Scholar] [CrossRef]
  32. Jimmy, J.L. Coleus aromaticus Benth.: An Update on Its Bioactive Constituents and Medicinal Properties. All Life 2021, 14, 756–773. [Google Scholar] [CrossRef]
  33. Hitl, M.; Kladar, N.; Gavarić, N.; Božin, B. Rosmarinic Acid–Human Pharmacokinetics and Health Benefits. Planta Med. 2021, 87, 273–282. [Google Scholar] [CrossRef] [PubMed]
  34. Noor, S.; Mohammad, T.; Rub, M.A.; Raza, A.; Azum, N.; Yadav, D.K.; Hassan, M.I.; Asiri, A.M. Biomedical Features and Therapeutic Potential of Rosmarinic Acid. Arch. Pharmacal Res. 2022, 45, 205–228. [Google Scholar] [CrossRef]
  35. Kowalczyk, A.; Tuberoso, C.I.G.; Jerković, I. The Role of Rosmarinic Acid in Cancer Prevention and Therapy: Mechanisms of Antioxidant and Anticancer Activity. Antioxidants 2024, 13, 1313. [Google Scholar] [CrossRef] [PubMed]
Figure 1. (a) Photograph of the Cuban oregano plant (Coleus aromaticus); (b) Image of a stem with leaves of C. aromaticus (1), with details of the adaxial (2) and abaxial (3) leaf surfaces. The leaf details were captured by Dr. Duilio Iamonico using a Leica M205 C stereomicroscope (Leica Microsystems Srl, Milano, Italy) at 0.78× magnification.
Figure 1. (a) Photograph of the Cuban oregano plant (Coleus aromaticus); (b) Image of a stem with leaves of C. aromaticus (1), with details of the adaxial (2) and abaxial (3) leaf surfaces. The leaf details were captured by Dr. Duilio Iamonico using a Leica M205 C stereomicroscope (Leica Microsystems Srl, Milano, Italy) at 0.78× magnification.
Metabolites 16 00015 g001
Figure 2. HPTLC fingerprints of amino acids from hydroalcoholic phase of C. aromaticus samples, visualized under white light after derivatization with ninhydrin reagents. Mobile phase: (a) 1-butanol/acetone/acetic acid/water (7:7:2:4 v/v), (b) 1-butanol/acetic acid/water/formic acid (28:9:8:2 v/v). Track assignments: 1 ethyl acetate macerates (EAM), 2 organic phase (OP), 3 hydroalcoholic phase (HAP), 4 hydroalcoholic macerate (HAM), 5 arginine, 6 aspartic acid, 7 asparagine, 8 proline, 9 glutamine, 10 serine, 11 glutamic acid, 12 alanine, 13 threonine. For clearer interpretation of the HPTLC plate, the y-axis shows the Rf values and the x-axis the track numbers.
Figure 2. HPTLC fingerprints of amino acids from hydroalcoholic phase of C. aromaticus samples, visualized under white light after derivatization with ninhydrin reagents. Mobile phase: (a) 1-butanol/acetone/acetic acid/water (7:7:2:4 v/v), (b) 1-butanol/acetic acid/water/formic acid (28:9:8:2 v/v). Track assignments: 1 ethyl acetate macerates (EAM), 2 organic phase (OP), 3 hydroalcoholic phase (HAP), 4 hydroalcoholic macerate (HAM), 5 arginine, 6 aspartic acid, 7 asparagine, 8 proline, 9 glutamine, 10 serine, 11 glutamic acid, 12 alanine, 13 threonine. For clearer interpretation of the HPTLC plate, the y-axis shows the Rf values and the x-axis the track numbers.
Metabolites 16 00015 g002
Figure 3. HPTLC fingerprints of flavonoids and organic acids from C. aromaticus samples, visualized under UV 366 nm (a) after derivatization with natural product reagent (b) after derivatization with anisaldehyde. Mobile phase: ethyl acetate/dichloromethane/acetic acid/formic acid/water (100:25:10:10:11, v/v). Track assignments: 1 ethyl acetate macerates (EAM), 2 organic phase (OP), 3 hydroalcoholic phase (HAP), 4 hydroalcoholic macerate (HAM), 5 rutin (Rut), 6 chlorogenic acid (Chl), 7 apigenin (Api), 8 gallic acid (Gal), 9 rosmarinic acid (Ros), 10 caffeic acid (Caff), 11 luteolin (Lut), 12 p-cumaric acid (pCum), 13 quercetin (Que). For clearer interpretation of the HPTLC plate, the y-axis shows the Rf values and the x-axis the track numbers.
Figure 3. HPTLC fingerprints of flavonoids and organic acids from C. aromaticus samples, visualized under UV 366 nm (a) after derivatization with natural product reagent (b) after derivatization with anisaldehyde. Mobile phase: ethyl acetate/dichloromethane/acetic acid/formic acid/water (100:25:10:10:11, v/v). Track assignments: 1 ethyl acetate macerates (EAM), 2 organic phase (OP), 3 hydroalcoholic phase (HAP), 4 hydroalcoholic macerate (HAM), 5 rutin (Rut), 6 chlorogenic acid (Chl), 7 apigenin (Api), 8 gallic acid (Gal), 9 rosmarinic acid (Ros), 10 caffeic acid (Caff), 11 luteolin (Lut), 12 p-cumaric acid (pCum), 13 quercetin (Que). For clearer interpretation of the HPTLC plate, the y-axis shows the Rf values and the x-axis the track numbers.
Metabolites 16 00015 g003aMetabolites 16 00015 g003b
Figure 4. HPLC chromatograms of the different C. aromaticus extracts: (a) hydroalcoholic phase (HAP); (b) hydroalcoholic macerate (HAM); (c) ethyl acetate macerate (EAM). Identified compounds are highlighted according to their retention times (min): caffeic acid 12.97 (254 nm); rosmarinic acid 23.61 (254 nm); luteolin 27.07 (254 nm); quercetin 27.21 (254 nm); and apigenin 30.23 (254 nm).
Figure 4. HPLC chromatograms of the different C. aromaticus extracts: (a) hydroalcoholic phase (HAP); (b) hydroalcoholic macerate (HAM); (c) ethyl acetate macerate (EAM). Identified compounds are highlighted according to their retention times (min): caffeic acid 12.97 (254 nm); rosmarinic acid 23.61 (254 nm); luteolin 27.07 (254 nm); quercetin 27.21 (254 nm); and apigenin 30.23 (254 nm).
Metabolites 16 00015 g004
Table 1. Extraction protocols applied to C. aromaticus leaves.
Table 1. Extraction protocols applied to C. aromaticus leaves.
MethodFresh LeavesSolventsAgitationT/t
Bligh–Dyer
(BD)
1.2 g3 mL MeOH + 3 mL CHCl3 (vortex), then 1.5 mL waterVortex 30 s; static overnight4 °C/12 h
Hydroalcoholic maceration
(HAM)
6 gMeOH:H2O = 7:3 30 mLRotary shaker, 150 rpm25 °C/24 h
Ethyl acetate
Maceration
(EAM)
6 gEthyl acetate 30 mLRotary shaker, 150 rpm25 °C/24 h
MeOH/DCM/H2O partitioning
(HAP + OP)
6 g30 mL MeOH, 30 mL DCM, 15 mL H2ORotary shaker, 150 rpm25 °C/24 h
Table 2. Quantification of the amino acids from the 1H NMR spectrum of hydroalcoholic extract of C. aromaticus leaves.
Table 2. Quantification of the amino acids from the 1H NMR spectrum of hydroalcoholic extract of C. aromaticus leaves.
CompoundAmount (mg/100 g)
Amino Acids
Alanine0.56 ± 0.08
Asparagine7.51 ± 4.65
γ-Aminobutyric acid (GABA)1.73 ± 0.77
Glutamic acid2.92 ± 0.58
Glutamine0.46 ± 0.19
Threonine0.16 ± 0.05
Table 3. The flavonoid and organic acid content identified by HPTLC from C. aromaticus samples. Quantitative data indicated with a “+” sign are based on the comparison of the relative concentrations of the same metabolite across different samples, as inferred from signal intensity. A “-” indicates absence.
Table 3. The flavonoid and organic acid content identified by HPTLC from C. aromaticus samples. Quantitative data indicated with a “+” sign are based on the comparison of the relative concentrations of the same metabolite across different samples, as inferred from signal intensity. A “-” indicates absence.
FlavonoidEAMOPHAPHAMRf
Apigenin++--0.89
Luteolin-+--0.83
Quercetin++--0.86
Rutin--X *X *0.15
Organic AcidEAMOPHAPHAMRf
Caffeic acid+++-++0.83
Chlorogenic acid----0.27
Gallic acid----0.75
p-cumaric acid----0.86
Rosmarinic acid--+++0.75
* Rutin appears to be present since a spot with the same color and Rf was observed; however, the UV spectrum of the spot differed from that of the reference standard. “-” indicates absence, while “X” indicates presence that still needs to be verified.
Table 4. Quantification of the organic acids and flavonoids from the 1H NMR spectrum of hydroalcoholic extract of C. aromaticus leaves.
Table 4. Quantification of the organic acids and flavonoids from the 1H NMR spectrum of hydroalcoholic extract of C. aromaticus leaves.
CompoundAmount (mg/100 g)
Organic Acids
Acetic Acid0.19 ± 0.03
Caffeic Acid49.66 ± 2.65
Formic Acid0.28 ± 0.11
Fumaric Acid0.61 ± 0.05
Malic Acid68 ± 19.5
Rosmarinic Acid88.89 ± 14.09
Flavonoids
U01 (Apigenin glycoside 1)6.16 ± 0.51
U02 (Apigenin glycoside 2)5.49 ± 0.33
Table 5. Quantification of carbohydrates and polyols, lipids and sterols, other metabolites and unknown compounds, from the 1H NMR spectrum of hydroalcoholic and lipophilic extracts of C. aromaticus leaves. U03, U04 and U05 are putative assignations of molecules whose full HSQC and HMBC correlation could not be detected.
Table 5. Quantification of carbohydrates and polyols, lipids and sterols, other metabolites and unknown compounds, from the 1H NMR spectrum of hydroalcoholic and lipophilic extracts of C. aromaticus leaves. U03, U04 and U05 are putative assignations of molecules whose full HSQC and HMBC correlation could not be detected.
CompoundAmount (mg/100 g)
Carbohydrates
Fructose22.56 ± 4.71
Glucose2.62 ± 0.19
Raffinose14.73 ± 0.93
Sucrose6.79 ± 1.03
Lipids and Sterols
β-Sitosterol0.97 ± 0.51
Campsterol1.57 ± 0.25
Monounsaturated ω-9 fatty acid (ω-9 FA)33.03 ± 5.71
Polyunsaturated ω-6 fatty acid (ω-6 FA)0.97 ± 0.22
Polyunsaturated ω-3 fatty acid (ω-3 FA)6.87 ± 1.68
Saturated fatty acid (SFA)141.11 ± 17.54
Other Metabolites
Choline1.79 ± 0.37
Unknown Compounds
U03 (2-Hydroxy-3-methylbutyric acid)2.73 ± 0.97
U04 (Octenoic acid)1.56 ± 0.25
U05 (Marlignan R)27.08 ± 4.59
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

Toniolo, C.; Bortolami, M.; Patriarca, A.; De Vita, D.; Sciubba, F.; Santi, L. Multi-Analytical Insight into the Non-Volatile Phytochemical Composition of Coleus aromaticus (Roxb.) Benth. Metabolites 2026, 16, 15. https://doi.org/10.3390/metabo16010015

AMA Style

Toniolo C, Bortolami M, Patriarca A, De Vita D, Sciubba F, Santi L. Multi-Analytical Insight into the Non-Volatile Phytochemical Composition of Coleus aromaticus (Roxb.) Benth. Metabolites. 2026; 16(1):15. https://doi.org/10.3390/metabo16010015

Chicago/Turabian Style

Toniolo, Chiara, Martina Bortolami, Adriano Patriarca, Daniela De Vita, Fabio Sciubba, and Luca Santi. 2026. "Multi-Analytical Insight into the Non-Volatile Phytochemical Composition of Coleus aromaticus (Roxb.) Benth." Metabolites 16, no. 1: 15. https://doi.org/10.3390/metabo16010015

APA Style

Toniolo, C., Bortolami, M., Patriarca, A., De Vita, D., Sciubba, F., & Santi, L. (2026). Multi-Analytical Insight into the Non-Volatile Phytochemical Composition of Coleus aromaticus (Roxb.) Benth. Metabolites, 16(1), 15. https://doi.org/10.3390/metabo16010015

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop