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Article

Seasonal Variation in Essential Oil Composition and Antioxidant Capacity of Aniba canelilla (Lauraceae): A Reliable Source of 1-Nitro-2-phenylethane

by
Ellen de Nazaré S. da Cruz
1,2,
Luana de Sousa P. Barros
2,3,
Bruna de A. Guimarães
2,4,
Rosa Helena V. Mourão
5,
José Guilherme S. Maia
3,4,
William N. Setzer
6,
Joyce Kelly do R. da Silva
4,7 and
Pablo Luis B. Figueiredo
2,3,*
1
Programa Institucional de Bolsas de Iniciação Científica, Universidade Federal do Pará, Belem 66075-900, Brazil
2
Laboratório de Química dos Produtos Naturais, Centro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belem 66087-662, Brazil
3
Programa de Pós-Graduação em Ciências Farmacêuticas, Instituto de Ciências da Saúde, Universidade Federal do Pará, Belem 66075-900, Brazil
4
Programa de Pós-Graduação em Química, Universidade Federal do Pará, Belem 66075-900, Brazil
5
Laboratório de Bioprospecção e Biologia Experimental, Universidade Federal do Oeste do Pará, Santarem 68035-110, Brazil
6
Aromatic Plant Research Center, 230 N 1200 E, Suite 100, Lehi, UT 84043, USA
7
Programa de Pós-Graduação em Biotecnologia, Universidade Federal do Pará, Belem 66075-900, Brazil
*
Author to whom correspondence should be addressed.
Molecules 2023, 28(22), 7573; https://doi.org/10.3390/molecules28227573
Submission received: 26 September 2023 / Revised: 8 November 2023 / Accepted: 8 November 2023 / Published: 14 November 2023
(This article belongs to the Special Issue Essential Oils II)

Abstract

:
Aniba canelilla (Kunth) Mez essential oil has many biological activities due to its main compound 1-nitro-2-phenylethane (1N2F), followed by methyleugenol, a carcinogenic agent. This study analyzed the influence of seasonality on yields, antioxidant capacity, and 1N2F content of A. canelilla leaf and twig essential oils. Essential oils (EOs) were extracted with hydrodistillation and analyzed with gas chromatography coupled to mass spectrometry and a flame ionization detector. Antioxidant capacity was measured using the free radical scavenging method (DPPH). Chemometric analyses were carried out to verify the influence of climatic factors on the production and composition of EOs. 1-Nitro-2-phenylethane was the major constituent in A. canelilla EOs throughout the seasonal period (68.0–89.9%); methyleugenol was not detected. Essential oil yields and the 1N2F average did not show a statistically significant difference between the dry and rainy seasons in leaves and twigs. Moderate and significant correlations between major compounds and climate factor were observed. The twig oils (36.0 ± 5.9%) a showed greater antioxidant capacity than the leaf oils (20.4 ± 5.0%). The PCA and HCA analyses showed no statistical differences between the oil samples from the dry and rainy seasons. The absence of methyleugenolin in all months of study, described for the first time, makes this specimen a reliable source of 1N2F.

Graphical Abstract

1. Introduction

The Lauraceae comprises around 50 genera and 2500 to 3000 species distributed in tropical and subtropical regions; mainly, taxa are aromatic trees and shrubs rich in essential oils [1,2]. Lauraceae is native and non-endemic in Brazil, with 27 genera and 466 species of trees, shrubs, and lianas, known as climbers [3].
The Lauraceae has economic potential in several industrial sectors, such as food, wood, pharmaceuticals, and perfumery. Regarding its ethnobotany, its taxa are used to treat several pathologies [4,5]. Among the genera of this family, Aniba species have many scientific studies highlighting their pharmacological potential, emphasizing A. rosaeodora Ducke, A. parviflora (Meisn.) Mez, and A. canelilla (Kunth) Mez [6,7].
Aniba canelilla (Kunth) Mez is an aromatic species popularly known as “precious bark”, “false cinnamon”, “canelão”, and “precious leaf”. It is native and endemic to Brazil and found in the north, central-west, and southeast regions of the country. It is widely used in popular medicine to treat inflammation, intestinal pain, respiratory diseases, microbial, and parasitic infections [3,8]. Furthermore, A. canelilla essential oil is a natural antioxidant for food preservation and disease control, presenting high potential for use in cosmetics and pharmaceutical products [8].
In the aromatic and medicinal plants market, essential oils (EOs) are widely sought after due to their applications in perfumery, beverages, food, and cooking. EOs can be present in different parts of plants, such as leaves, seeds, stems, bark, and roots [9]. Moreover, they are used in traditional medicine as antimicrobial agents, as they are biologically active compounds with important health effects [10,11].
A. canelilla essential oil has antioxidant, antinociceptive, anti-inflammatory, anxiolytic, anticholinesterase, fungicidal, trypanocidal, leishmanicidal, cardiomoderating, and hypotensive properties [8]. The odorous principle of A. canelilla leaves, bark, and wood comes from the compound 1-nitro-2-phenylethane. This constituent is volatile, with an aroma similar to cinnamon, and stands out for its anti-inflammatory, antinociceptive, and vasorelaxant potential [12,13,14].
Nitro-substituted compounds have demonstrated broad biological activities and their pharmacological potential has been reviewed [15]. Furthermore, the presence of the hydrophobic phenyl group makes 1N2F lipophilic and affects its membrane and blood–brain barrier transport ability [16,17].
On the other hand, there are reports in the literature indicating the presence of methyleugenol in the A. canelilla essential oil, which is considered a carcinogen and mutagen with a solid link to safrole [18,19]. Due to the biological activities of this species and its possible industrial and pharmacological applications, the objective of this study was to evaluate its antioxidant potential and the influence of climatic factors on the yields and 1-nitro-2-phenylethane contents of the essential oil of A. canelilla.

2. Results and Discussion

2.1. Essential Oil Yields vs. Environmental Conditions

The climatic parameters (precipitation, temperature, and insolation) were monitored from August 2021 to July 2022 to evaluate the influence of seasonality on the composition and yields of A. canelilla essential oil. The average precipitation values ranged from 116.6 mm (July) to 527.4 mm (March), the average temperature from 25.9 °C (January) to 27.6 °C (October), and the values of insolation from 105.4 h (March) to 256.1 h (August). Based on rainfall data, the months of March to May comprise the rainy season with an average rainfall of 472.5 ± 60.2 mm, and the months of August to February, in addition to June to July, comprise the dry season with an average rainfall of 237.2 ± 67.8 mm (see Figure 1). In the seasonal study of Lippia alba (Mill.) N.E.Br. ex Britton & P. Wilson (Verbenaceae), the dry season also comprised the months of August to February and the rainy period from March to May [20].
The A. canelilla specimen was collected in the city of Belém, located in northern Brazil, which has a predominantly hot and humid climate. The climate of the Amazon region has only two delimited seasons, the rainy and the dry. Despite this, the seasons can change according to the atmospheric phenomena in the region [21].
In this seasonal study, the oil yields of A. canelilla leaves ranged from 1.1% (February) to 1.7% (July), and of the twigs ranged from 0.4% (June) to 1.2% (September). The essential oil yields of A. canelilla leaves (1.1–1.7%; 1.3 ± 0.2) were higher than the twigs (0.4–1.2%; 0.8 ± 0.2) in all months of this study, except in September, where they were the same (1.2%). Furthermore, the average yield of leaves (1.3 ± 0.2) and twigs (0.8 ± 0.2) showed a statistical difference (p < 0.05) in the Tukey test.
A specimen of A. canelilla collected in Belém, Pará, Brazil, presented an oil yield of 1.5% for leaves and 1.0% for twigs [6]. Another specimen collected in Amazonas also showed higher oil yields in the leaves (1.3%) than in the twigs (1.2%) [22].
The essential oil yields of leaves (L) and twigs (T) did not show a statistically significant difference between the dry (L: 1.3 ± 0.2; T: 0.8 ± 0.2) and rainy (L: 1.3 ± 0.3; T: 0.8 ± 0.2) seasons. In this sense, the influence of seasonality on the EOs of a specimen of Psidium acutangulum DC. (Myrtaceae) collected in the city of Belém, Pará, Brazil, has been reported; the oil yields also showed no statistical differences between the dry (0.7 ± 0.3%) and rainy (0.9 ± 0.2%) periods [23]. Regarding climatic factors vs. essential oil yields, the Pearson correlation coefficient (r) analysis showed that there was no significant correlation between the yields of A. canelilla leaves and twigs, respectively, with regard to temperature (r = 0.01 and r = −0.11), insolation (r = 0.30 and r = −0.20), or precipitation (r = −0.17; r = 0.10), as shown in Table 1.
Yields and composition of secondary metabolites can be affected from plant formation to final isolation [24]. For example, the EO present in the leaves of Nectandra grandiflora Nees (Lauraceae), collected in the Rio Grande do Sul (Brazil), showed seasonal variability, with the highest yield in spring (0.75 ± 0.06%) and the lowest yield in the winter (0.39 ± 0.02%) [25]. Moreover, Ocotea porosa (Nees & Mart.) had an oil content of 0.82%, while Ocotea quixos (Lam) Kosterm had an EO content equivalent to 1.6% [25].

2.2. Chemical Composition vs. Environmental Conditions

GC-MS and GC-FID identified and quantified the oil constituents from the leaves and twigs of A. canelilla during the twelve months of this study (August 2021 to July 2022). In total, 61 volatile compounds were identified, representing an average of 98.3% of the total composition of the oils (Table 2 and Table A1). The predominant class of EOs in the leaves (L) and twigs (T) were benzenoids (L: 70.8–87.5%; T: 72.5–91.0%), followed by oxygenated monoterpenoids (L: 2.3–4.5%; T: 5.3–21.8%), sesquiterpene hydrocarbons (L: 1.1–10.5%; T: 0.1–0.5%), oxygenated sesquiterpenoids (L: 1.4–9.1%; T: 0.9–3.9%), and monoterpene hydrocarbons (L: 0.1–4.8%; T: 0.1–5.9%).
The main compound of the EOs was 1-nitro-2-phenylethane (1N2F) in the leaves (68.0–85.2%; 78.7 ± 5.5%) and twigs (71.3–90.0%; 80.7 ± 6.6%). However, unlike the oil yields, there was no statistically significant difference in the Tukey test (p > 0.05) between the amounts of 1N2F in the leaves and twigs of A. canelilla.
The 1N2F content ranged from 68.0% (February) to 85.2% (March) in the leaves and 71.3% (December) to 89.9% (March) in the twigs. The average amounts of 1N2F in the leaves and twigs of A. canelilla were higher in the rainy season (F: 84.5 ± 1.2; T: 87.8 ± 2.1) than in the dry season (L: 76.8 ± 5.0; T: 78.3 ± 5.8). The average concentration of 1N2F in the leaves (76.9 ± 4.1%) and twigs (71.3–81.7%) did not show a statistical difference (p < 0.05) in the Tukey test. Furthermore, the average contents of 1N2F did not show a statistically significant difference between the dry (L: 76.8 ± 5.0; T: 78.3 ± 5.8) and rainy (L: 84.5 ± 1.2; T: 87.8 ± 2.1) seasons in the leaves and twigs.
Other constituents were also identified in A. canelilla EOs leaves and twigs, such as the monoterpene hydrocarbon α-pinene (L: 0.0–2.2%; 0.5 ± 0.6%; T: 0.0–2.2%; 0.7 ± 0.8%) and the oxygenated monoterpenoid linalool (L: 1.9–3.5%; 2.7 ± 0.5%; T: 4.5–20.1%; 11.3 ± 4.7%), the sesquiterpene hydrocarbons E-caryophyllene (L: 0.2–6.6%; 2.5 ± 2.3%; T: 0.1–0.3%; 0.2 ± 0.1%) and β-longipinene (L: 0.0–4.8%; 1.4 ± 1.4%; T: < 0.1%), and the oxygenated sesquiterpenoids selin-11-en-4α-ol (L: 0.0–1.1%; 0.5 ± 0.5%; T: 0.0–2.5%; 1.2 ± 1.0%) and caryophyllene oxide (L: 0.7–5.6%; 4.5 ± 1.4%; T: 0.0–0.4%; 0.2 ± 0.1%). The chemical structures of these compounds are shown in Figure 2.
The 1N2F (L: 71.2%; T: 68.2%) [14] and (L: 88.3%; T: 70.9%) [6] was previously identified in high amounts in A. canelilla EOs. Both studies found that the levels of 1N2F in the leaves were higher than in the twigs, which vary from the results of this study.
Based on the analysis of the Pearson correlation coefficient (r) shown in Table 1, there was a moderate and significant positive correlation (p < 0.05) between precipitation and the 1N2F contents in the leaves (r = 0.61) and twigs (r = 0.60), and a moderate negative correlation between 1N2F and temperature (r = −0.59) in the leaves. The twigs had a weak negative correlation between 1N2F content and temperature (r = −0.47) and insolation (r = −0.37).
Among the other chemical constituents present in A. canelilla EOs, those that significantly correlated with climatic parameters were linalool with precipitation in the twigs (r = −0.65), β-longipinene with insolation (r = 0.68) and precipitation (r = −0.64) in the leaves, selin-11-en-4α-ol with temperature (r = −0.68), insolation (r = −0.55), and precipitation (r = 0.72) in the twigs, and α-pinene with temperature (0.65) and insolation (r = 0.67). The sesquiterpenes E-caryophyllene and caryophyllene oxide did not significantly correlate with the climatic factors.
According to the statistically significant compounds classes, monoterpene hydrocarbons showed a moderate positive correlation with temperature (r = 0.69) and a strong positive correlation with insolation (r = 0.71) in the twigs. Oxygenated monoterpenoids showed a strong positive correlation with temperature (r = 0.78) in the leaves and a moderate negative correlation with precipitation in the leaves (r = −0.60) and twigs (r = −0.63). Sesquiterpene hydrocarbons showed a strong positive correlation with temperature (r = 0.70) and a strong negative correlation with precipitation (r = −0.70) in the leaves. Furthermore, oxygenated sesquiterpenoids showed a strong negative correlation with the average temperature (r = −0.70) in the twigs, and benzenoids showed a moderate negative correlation with temperature (r = −0.58) and a moderate positive correlation with precipitation in the leaves (r = 0.58) and twigs (r = 0.61).
Moreover, the highest amounts of 1N2F were obtained in March (F: 85.2%; T: 89.9%), a month with the highest precipitation (527.4 mm) and lowest sunshine (105.4 h), according to Figure 3.
The only seasonal study of A. canelilla reported in the literature indicated the presence of methyleugenol in its essential oil, which was used in foods as a flavoring agent. However, nowadays, methyleugenol is considered a carcinogen and mutagen with a strong link to safrol [18,19].
1N2F and methyleugenol contents varied with the season in a specimen from Carajás, southeast of Pará State [19]. During the rainy season, 1N2F showed higher amounts (95.3%) than methyleugenol (17.7%). Therefore, in the dry season, methyleugenol presented higher concentrations (45.8%) than 1N2F (39.0%). Comparing these results with the sample of A. canelilla collected in the city of Belém, state of Pará, the specimen of this article can be considered a natural and secure source of 1N2F.
Furthermore, the specimen in this study was evaluated with an in vivo experiment, where 1N2F increased antioxidant capacity and glutathione (GSH) concentrations, and reduced lipid peroxidation (both peritoneal and plasma). The essential oil decreased leukocyte migration induced by carrageenan, confirming its potential to treat inflammatory diseases and oxidative stress [28].
The volatile constituents of EOs are produced by secretory cells that minimize the risk of autotoxicity and allow the presence of high concentrations of secondary metabolites in places where their defense function may be vital [24]. Furthermore, several factors can lead to variations in the composition of secondary metabolites. Among these factors, seasonality stands out, a term used to designate variations that occur due to different times of the year [29].
Talking about the seasonal variation of Aniba species, the main chemical constituents identified in the essential oils of A. parviflora (Meisn) Mez. leaves were the monoterpenes: linalool, with variations from 14.07% (September) to 28.42% (March); α-phellandrene 5.66% (September) to 14.87% (March); p-cymene 2.74% (September) to 17.54% (March); and the oxygenated sesquiterpene spathulenol from 3.79% (December) to 7.0% (September) [30]. Thus, these findings show a great seasonal and intraspecific variation in the Aniba species.

2.3. Antioxidant Capacity vs. Environmental Conditions

DPPH Radical Scavenging

The A. canelilla oils, obtained from a twelve-month collection process of leaves and twigs samples, showed a DPPH radical scavenging capacity with an average of 20.4 ± 5.0% for the leaf oils and 36.0 ± 5.9% for the twigs, as shown in Table A2 and Figure 4. The reaction kinetics were considered slow, with an average of 120 min. The highest percentage of inhibition of the DPPH radical was observed for the twig oils collected in September (42.0 ± 1.3%), March (40.6 ± 1.0%), August and October (40.2 ± 1.3%), February (39.8 ± 1.5), and April (37.2 ± 0.4). The total antioxidant capacity was expressed in values equivalent to the standard Trolox. TEAC (mg.TE/g) of the leaf oils showed an average of 114.4 ± 27.7, which is about ten times as low as Trolox; however, the TEAC for the twig oils showed an average of 203.0 ± 33.3, which is five times as low as Trolox. TEAC of the leaves and twigs were statistically different in the Tukey test (p < 0.05).
Based on Pearson’s correlation coefficient ® analysis, the antioxidant activity of leaves showed no significant correlations with the major contents—1N2F (r = −0.197), linalool (r = 0.200), and caryophyllene oxide (r = −0.084)—or with the climatic parameters—insolation (r = −0.073), temperature (r = −0.127), rainfall (r = 0.159), and humidity (r = 0.206). Also, the antioxidant activity of twigs showed no significant correlations with the major contents—1N2F (r = −0.185), linalool (r = 0.103), and caryophyllene oxide (r = −0.336)—or with the climatic parameters—insolation (r = −0.093), temperature (r = −0.098), rainfall (r = 0.242), and humidity (r = 0.175).
A study of Aniba canelilla essential oils (110 to 1400 µg mL−1), obtained from Amazonas and Pará state (northern Brazil) and using Trolox as the standard, demonstrated a DPPH inhibition of 32.4 to 93.0%. For the methanolic extract (2 to 10 µg mL−1), the values ranged from 29.8 to 92.6%. They also reported the antioxidant capacity of 1N2F (200 to 1000 µg mL−1) and Trolox (2 to 10 µg mL−1); the values ranged from 11.5 to 63.2% and 21.5 to 96.7%, respectively [22]. In addition, the ethanolic extract of A. canelilla bark obtained from Pará state displayed optimum antioxidant activity (IC50 1.80 ± 0.16). The same study demonstrated equivalence between the extract of A. canelilla and L-ascorbic acid. Its antioxidant potential was attributed to the presence of phenolic compounds, capable of interrupting the chain reactions caused by free radicals due to its ability to donate hydrogen atoms [31].

2.4. Multivariate Analysis of A. canelilla Leaf and Twig Essential Oils

Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were performed using constituents with amounts above 2% in the EOs. The HCA and PCA plots were made separately for the leaves and twigs of A. canelilla. By applying hierarchical cluster analysis (HCA), it was possible to obtain the dendrogram that shows the three groups formed with no similarity from A. canelilla leaf volatiles (see Figure 5).
Group I includes the months of August, January, March, April, and May. Group II presents September, November, October, December, February, and June. On the other hand, group III only covers July.
The principal component analysis (PCA, Figure 6) elucidated 86.44% of the data variability. PC1 explained 37.04% of the data and presented negative correlations with 1N2F (r = −2.31) and β-longipinene (r = −0.49), and presented positive correlations with α-pinene (r = 1.24), linalool (r = 1.28), E-caryophyllene (r = 1.80), and caryophyllene oxide (r = 1.09). The second component (PC2) explained 32.11% of variability and showed negative correlations with 1N2F (r = −0.32), E-caryophyllene (r = −0.13), and caryophyllene oxide (r = −2.50), and positive correlations with α-pinene (r = 1.07), linalool (r = 1.88), and β-longipinene (r = 3.07). The third component (PC3) explained 17.29% of the data, presenting negative correlations with linalool (r = −0.37) and E-caryophyllene (r = −1.99), and positive correlations with α-pinene (r = 2.44), β-longipinene (r = 0.10), and caryophyllene oxide (r = 1.00). In relation to the HCA, the PCA analysis confirmed the formation of three distinct groups.
For the HCA of A. canelilla twigs, it was also possible to analyze the formation of three distinct groups. Group I includes the months of August and October. Group II presents the months of September, February, and January. Furthermore, group III comprises the months of March, April, May, and June (see Figure 7).
Principal component analysis (PCA, Figure 8) elucidated 99.26% of the data variability. PC1 explained 65.42% of the variability and presented negative correlations with 1N2F (r = −2.45) and selin-11-en-4α-ol (r = −1.29), and presented positive correlations with α-pinene (r = 1.92) and linalool (r = 2.43). The second component (PC2) explained 22.27% of the variability, showing negative correlations with linalool (r = −0.06) and 1N2F (r = −0.28), and showing positive correlations with α-pinene (r = 0.79) and selin-11-en-4α-ol (r = 1.59). The third component (PC3) explained 11.57% of the data and showed negative correlations with linalool (r = −0.61) and selin-11-en-4α-ol (r = −0.46), and positive correlations with α-pinene (r = 1.05) and 1N2F (r = 0.46). In relation to the HCA, PCA analysis confirmed the formation of three distinct groups.
PCA and HCA analysis of Aniba canelilla leaves and twigs did not differentiate oil samples during the dry and rainy seasons. A previous study on the seasonality of essential oils from Psidium friedrichsthalianum leaves from Brazil did not show a separation of samples in the dry and rainy seasons [32]. Some species present variation in the concentrations of their constituents, but cannot be separated in chemometric analyses due to their metabolism not correlating with biotic, abiotic factors, and climatic parameters, which can interfere with metabolic pathways [33]. However, correlations were observed between climatic parameters and oil constituents and their compound classes, as mentioned previously (see Table 1).

3. Material and Methods

3.1. Plant Material and Climatic Data

The leaves and twigs of A. canelilla were collected from a specimen from the city of Belém, Pará state, Brazil (coordinates: 1°27′20.3″ S/48°26′18.1″ W). For this seasonal study, leaves (200 g) and twigs (120 g) were sampled on the 10th day of each month at 10 a.m. from August 2021 to July 2022. The specimen was collected in accordance with the Brazilian legislation relating to the protection of biodiversity (Sisgen A704928).
The climatic parameters (insolation, temperature, and rainfall) of the mentioned area were obtained monthly from the website of the National Institute of Meteorology (INMET, http://www.inmet.gov.br/portal/, accessed on 31 August 2022, from the Brazilian Government [34]).

3.2. Extraction and Oil Composition

The leaves and twigs were dried in a refrigerated room, ground, and subjected to hydrodistillation (in duplicate) using a Clevenger-type apparatus (3 h) according to the methodology described by Figueiredo et al. [35].
The chemical compositions of the obtained essential oils were analyzed with gas chromatography–flame ionization detector (GC-FID, Shimadzu Corporation, Tokyo, Japan) and gas chromatography–mass spectrometry (GC/MS, Shimadzu Corporation, Tokyo, Japan) simultaneously [35].
The individual components were identified by comparing their retention indices and mass spectra (molecular mass and fragmentation pattern) with the libraries of the GCMS-Solution system [26,27]. The retention index was calculated for all volatile components using a homologous series of C8-C40 n-alkanes (Sigma-Aldrich, Milwaukee, WI, USA) according to the linear equation of van Den Dool and Kratz [36]. GC-FID and GC-MS analyses were performed in duplicate.

3.3. Antioxidant Capacity

DPPH Radical Scavenging Method

The antioxidant capacity of the oils from seasonal samples was evaluated with the DPPH radical scavenging method [37,38]. Each essential oil sample from this seasonal study (5.0 µL, 10 mg/mL) was mixed with Tween 20 solution (0.5%, 50 µL, w/w) and then added to DPPH (0.5 mM, 1 mL) in ethanol. The absorbance was measured in a spectrophotometer (UltrospecTM 7000, Biochrom US, Holliston, MA, USA) at the beginning of the reaction, every 5 min during the first 30 min, and then at 30 min intervals until constant absorbance values were observed (reaction plateau, 2 h). Standard curves were prepared using Trolox (6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid; Sigma-Aldrich, St. Louis, MO, USA), at concentrations of 30, 60, 150, 200, and 250 µg/mL and the same reaction mixture. The DPPH inhibition percentage calculated the radical scavenging activity of each sample according to the following equation, inhibition = 100 [(A − B)/A], where A and B are the blank and sample absorbance values in the end reaction. The results were expressed in milligrams of Trolox equivalents (mgTE/g) per gram of each sample. The total antioxidant activity was expressed as milligrams of Trolox, calculated utilizing the following equation, TE(mg/)g = [(A − B)/(A − C)] × [25/1000] × [250.29/1000] × [1000/10] × D, where A, B, and C are the blank, sample, and Trolox absorbance values in the end reaction, respectively, and D is the dilution factor. All experiments were triplicated.

3.4. Statistical Analysis

Statistical analysis was performed according to Santos et al. [23]. Statistical significance was assessed using the Tukey test (p < 0.05). GraphPad Prism software, version 8.0, was used to calculate Pearson’s correlation coefficients (r). Principal component analysis (PCA) was applied to verify the inter-relationship in the oil components (>2%). Hierarchical cluster analysis (HCA), considering Euclidean distance and complete linkage, was used to verify the similarity of oil samples based on the distribution of constituents selected in the previous PCA analysis.

4. Conclusions

The leaves showed higher essential oil yields than the twigs during this study. However, the yields showed no statistical difference between dry and rainy periods, indicating that the essential oil from the specimen can be extracted throughout the year.
The major constituent identified throughout the seasonal period in the essential oils from the leaves and twigs of Aniba canelilla was 1N2F. The results suggest that separating the leaves from the twigs is unnecessary, considering that 1N2F is present in all parts of the plant.
Methyleugenol was not identified in any of the study months—a fact described for the first time—which makes the specimen a reliable source of 1N2F. Furthermore, the oils from the twigs showed greater antioxidant capacity than those from the leaves. Therefore, this work contributes to the knowledge of the pharmacological potential of the species and encourages possible phytotherapeutic applications with the essential oils from the leaves and twigs of A. canelilla.

Author Contributions

Formal analysis: E.d.N.S.d.C., L.d.S.P.B., B.d.A.G., R.H.V.M., P.L.B.F., J.K.d.R.d.S. and J.G.S.M. Writing, proofreading, and editing: P.L.B.F., J.K.d.R.d.S., W.N.S. and J.G.S.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the PAPQ (Programa de Apoio à Publicação Qualificada), Propesp (PAPQ, Propesp, UFPa).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Acknowledgments

The authors are grateful to the Universidade Federal do Pará (PIBIC-UFPA) for providing scholarships to E.d.N.S.d.C., to Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for providing a graduate scholarship to L.d.S.P.B., and to Fundação Amazônia de Amparo a Estudos e Pesquisas (FAPESPA) for providing a graduate scholarship to B.d.A.G.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Chemical constituents of Aniba canelilla essential oils in this seasonal study.
Table A1. Chemical constituents of Aniba canelilla essential oils in this seasonal study.
RICRILOil Constituents (%)RT
933932 aα-pinene5.820
948946 acamphene6.225
958952 abenzaldehyde6.485
973974 asabinene6.900
977974 aβ-pinene7.020
984983 bbenzoic acid nitrile7.180
991988 amyrcene7.375
10061002 aα-phellandrene7.848
10111008 aδ-3-carene8.035
10241020 ap-cymene8.495
10281024 alimonene8.650
10291025 aβ-phellandrene8.669
10311026 a1.8-cineole8.740
10361032 aZ-β-ocimene8.933
10411036 abenzene acetaldehyde9.125
10461044 aE-β-ocimene9.309
10581054 aγ-terpinene9.723
10691059 aacetophenone10.145
10711067 acis-linalool oxide10.210
10881084 atrans-linalool oxide10.805
10891086 aterpinolene10.827
11001095 alinalool11.240
11371134 abenzeneacetonitrile12.770
11391135 atrans-pinocarveol12.820
11771174 aterpinen-4-ol14.435
11901186 aα-terpineol14.990
11951195 amyrtenal15.235
12281227 anerol16.565
12551249 ageraniol17.690
12561254 a2-phenylethyl acetate17.795
13081294 a1-nitro-2-phenylethane19.803
13511345 aα-cubebene21.810
13571356 aeugenol22.110
13771374 aα-copaene22.930
13931389 aβ-elemene23.605
14081400 aβ-longipinene24.230
14201417 aE-caryophyllene24.728
14411439 a2-phenylethyl butanoate25.565
14541452 aα-humulene26.096
14871490 a2-phenylethyl 3-methylbutanoate27.425
14961498 aα-selinene27.815
15091505 aβ-bisabolene28.340
15241521 atrans-calamenene28.920
15251522 aδ-cadinene28.902
15641561 aE-nerolidol30.455
15711565 a3Z-hexenyl benzoate30.710
15781577 aspathulenol31.045
15841582 acaryophyllene oxide31.203
15881590 aβ-copaen-4α-ol31.395
15991600 aguaiol31.815
16101608 ahumulene epoxide II32.235
16301627 a1-epi-cubenol32.970
16341639 acaryophylla-4(12),8(13)-dien-5α-ol33.090
16371639 acaryophylla-4(12),8(13)-dien-5β-ol33.230
16561651 apogostol33.893
16561658 aselin-11-en-4α-ol33.930
16591661 aallo-himachalol34.025
16721668 a14-hydroxy-9-epi-E-caryophyllene34.540
16691670 abulnesol34.390
16781676 amustakone34.770
17591759 acyclocolorenone37.640
RIC = calculated retention index (Rtx-5ms column); RIL = literature retention index; a = Adams, 2007 [26]; b = Mondello, 2011 [27]; RT: retention time.
Table A2. DPPH radical scavenging of the monthly oils of Aniba canelilla.
Table A2. DPPH radical scavenging of the monthly oils of Aniba canelilla.
SampleLeavesTwigs
Inhibition
(%) *
TEAC
(mg.TE/g) *
Inhibition
(%) *
TEAC
(mg.TE/g) *
August17.9 ± 1.3 a,d,e11.8 ± 7.440.2 ± 1.3 a,e,g226.8 ± 7.2
September31.3 ± 0.5 b174.3 ± 3.042.0 ± 3.9 a,b236.6 ± 22.2
October24.7 ± 1.3 c138.6 ± 7.340.2 ± 1.3 a,b,e,g226.8 ± 7.2
November19.8 ± 1.0 d110.8 ± 6.033.0 ± 0.9 c,h186.2 ± 5.2
December15.6 ± 0.5 e,f87.0 ± 3.230.2 ± 1.2 c,d170.4 ± 6.8
January22.5 ± 0.6 c126.2 ± 3.634.4 ± 1.1 c,d,h193.9 ± 6.1
February23.3 ± 0.8 c130.3 ± 4.939.8 ± 1.5 a,b,e,g224.5 ± 8.4
March24.3 ± 1.1 c136.3 ± 6.240.6 ± 1.0 a,b,e,g229.2 ± 6.0
April18.8 ± 0.4 a,d105.3 ± 2.337.2 ± 0.4 a,b,h210.1 ± 2.3
May16.4 ± 1.0 a,e91.9 ± 5.836.7 ± 2.2 e,h206.8 ± 12.3
June13.4 ± 0.3 f74.9 ± 2.020.8 ± 1.0 f117.6 ± 5.4
July17.2 ± 0.3 a,d,e96.6 ± 1.636.8 ± 0.9 g,h207.7 ± 4.9
* Values are expressed as means ± standard deviations (n = 3). Values with the same letters in the column do not differ statistically in the Tukey test (p > 0.05).

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Figure 1. Relationship between climatic parameters and essential oil yields of leaves and twigs of Aniba canelilla in this seasonal study.
Figure 1. Relationship between climatic parameters and essential oil yields of leaves and twigs of Aniba canelilla in this seasonal study.
Molecules 28 07573 g001
Figure 2. Chemical structures of the main compounds identified in the essential oils of A. canelilla leaves and twigs.
Figure 2. Chemical structures of the main compounds identified in the essential oils of A. canelilla leaves and twigs.
Molecules 28 07573 g002
Figure 3. Seasonal study of 1-nitro-2-phenylethane in the leaves and twigs of A. canelilla.
Figure 3. Seasonal study of 1-nitro-2-phenylethane in the leaves and twigs of A. canelilla.
Molecules 28 07573 g003
Figure 4. DPPH radical scavenging of the monthly oils of Aniba canelilla. (A) Inhibition of leaf oils; (B) TEAC of leaf oils; (C) inhibition of twig oils; (D) TEAC of twig oils. Values with the same letters in same graphic do not differ statistically in the Tukey test (p > 0.05).
Figure 4. DPPH radical scavenging of the monthly oils of Aniba canelilla. (A) Inhibition of leaf oils; (B) TEAC of leaf oils; (C) inhibition of twig oils; (D) TEAC of twig oils. Values with the same letters in same graphic do not differ statistically in the Tukey test (p > 0.05).
Molecules 28 07573 g004aMolecules 28 07573 g004b
Figure 5. HCA analysis of the main compounds of essential oils from A. canelilla leaves.
Figure 5. HCA analysis of the main compounds of essential oils from A. canelilla leaves.
Molecules 28 07573 g005
Figure 6. PCA analysis of the main compounds of essential oils from A. canelilla leaves.
Figure 6. PCA analysis of the main compounds of essential oils from A. canelilla leaves.
Molecules 28 07573 g006
Figure 7. HCA analysis of the main compounds of essential oils from A. canelilla twigs.
Figure 7. HCA analysis of the main compounds of essential oils from A. canelilla twigs.
Molecules 28 07573 g007
Figure 8. PCA analysis of the main compounds of essential oils from A. canelilla twigs.
Figure 8. PCA analysis of the main compounds of essential oils from A. canelilla twigs.
Molecules 28 07573 g008
Table 1. Correlation between yields, 1-nitro-2-phenylethane, main constituents, classes, and climatic parameters.
Table 1. Correlation between yields, 1-nitro-2-phenylethane, main constituents, classes, and climatic parameters.
Yield/
Components
TemperatureInsolationPrecipitation
LTLTLT
Oil yield0.01−0.110.30−0.20−0.170.10
1-nitro-2-phenylethane−0.59 *−0.47−0.16−0.370.61 *0.60 *
Linalool0.490.560.120.38−0.18−0.65 *
β-longipinene0.550.260.68 *−0.14−0.64 *−0.23
E-caryophyllene0.430.060.16−0.100.29−0.33
Selin-11-en-α-ol−0.24−0.68 *−0.13−0.55 *−0.370.72 *
Caryophyllene oxide−0.11−0.01−0.37−0.140.29−0.26
α-pinene0.290.65 *0.240.67 *−0.33−0.42
Monoterpene hydrocarbons0.350.69 *0.280.71 *−0.40−0.51
Oxygenated monoterpenes0.78 *0.540.410.33−0.60 *−0.63 *
Sesquiterpene hydrocarbons0.70 *−0.080.49−0.13−0.70 *−0.22
Oxygenated sesquiterpenes−0.13−0.70 *−0.36−0.430.410.48
Benzenoids−0.58 *−0.48−0.14−0.380.58 *0.61 *
* Significant correlation (p < 0.05); L: leaves; T: twigs.
Table 2. Chemical composition of Aniba canelilla essential oils in this seasonal study.
Table 2. Chemical composition of Aniba canelilla essential oils in this seasonal study.
RICRIL AugustSeptemberOctoberNovemberDecemberJanuaryFebruaryMarchAprilMayJuneJulyClass
Aniba canelillaLTLTLTLTLTLTLTLTLTLTLTLT
Oil Yields (%)1.40.71.21.21.20.71.30.91.20.91.30.81.10.91.20.71.21.01.60.71.20.41.70.8
Oil Constituents (%)(%)
933932 aα-pinene0.32.20.10.20.82.20.31.00.80.60.30.20.60.1 tr0.20.4tr0.12.20.1tr0.8MH
948946 acamphenetr0.1 tr0.1 trtrtrtr tr 0.1 trMH
958952 abenzaldehyde1.10.10.40.10.50.10.5tr1.20.10.7 0.8 1.0 0.7 0.5tr0.5 0.40.1BZ
973974 asabinene tr 0.10.10.1tr0.6 tr 0.40.60.70.4MH
977974 aβ-pinene0.31.20.10.20.81.20.20.70.60.50.30.20.60.10.1tr0.20.3tr0.11.30.20.20.7MH
984983 bbenzoic acid nitrile tr 0.2 0.2 0.2tr0.2 0.2 0.1 0.1 0.5 0.2 BZ
991988 amyrcene 0.3 tr0.3 0.1 0.1 0.1trtr 0.1 tr 0.1MH
10061002 aα-phellandrene 0.1 0.1 0.1 tr tr trMH
10111008 aδ-3-carene 0.2 0.2 0.1 0.1 trtr tr tr 0.1MH
10241020 ap-cymene0.10.3trtr0.10.3tr0.10.10.1tr 0.10.1 0.1 tr0.2tr 0.1MH
10281024 alimonene0.1 tr 0.4 0.1 0.2 0.1 0.20.2 tr 0.5 tr MH
10291025 aβ-phellandrene 1.1 0.2 1.1 0.6 0.4 0.3 0.1 0.6MH
10311026 a1.8-cineole0.20.30.10.10.20.20.10.1 0.1 0.2 tr 0.1 tr0.3 tr0.1OM
10361032 aZ-β-ocimene 0.2 0.2 0.1 0.1 0.2 0.1 0.1 0.1MH
10411036 abenzene acetaldehyde1.00.11.1 1.30.11.40.10.30.21.20.11.10.10.6 0.6 1.7tr0.7 1.80.1BZ
10461044 aE-β-ocimene 0.3 0.1 0.3 0.2 0.2 0.1 0.1 tr tr 0.2MH
10581054 aγ-terpinene tr tr tr trtr trMH
10691059 aacetophenone0.1 0.1 0.1 tr 0.1 BZ
10711067 acis-linalool oxide0.10.1tr trtrtrtr 0.1 trtr0.10.1 tr trOM
10881084 atrans-linalool oxide0.10.1tr tr0.10.10.10.10.10.10.10.1 tr0.1 OM
10891086 aterpinolene 0.1 MH
11001095 alinalool2.216.12.713.03.514.23.113.23.420.12.312.62.312.02.54.52.66.11.96.52.65.52.712.1OM
11371134 abenzeneacetonitrile0.30.20.3 0.10.20.20.20.30.20.20.10.20.20.10.10.10.10.20.20.30.20.30.1BZ
11391135 atrans-pinocarveol 0.1 0.1 0.1 0.1 0.1 OM
11771174 aterpinen-4-oltr0.1tr tr0.10.10.10.10.1tr0.1tr0.1 0.1tr trMH
11901186 aα-terpineol0.30.80.40.80.50.60.40.70.51.00.30.80.30.80.30.60.30.50.30.70.40.40.40.5OM
11951195 amyrtenal0.1 0.1 0.1 0.1 0.1 0.1 tr 0.1 OM
12281227 anerol tr tr 0.1 0.1tr0.1 0.1 OM
12551249 ageraniol 0.2tr0.10.10.1tr0.2tr0.3tr0.30.10.3 0.2 0.2 0.3 trOM
12561254 a2-phenylethyl acetatetr0.10.1 0.1 0.10.10.1tr0.1tr 0.1 0.1 0.10.10.1BZ
13081294 a1-nitro-2-phenylethane80.471.980.281.771.975.275.377.774.671.381.275.668.082.085.289.985.087.983.185.676.289.883.779.8BZ
13511345 aα-cubebene 0.1 0.1 tr 0.1 SH
13571356 aeugenol0.20.60.50.70.30.70.30.60.30.60.30.60.40.80.20.90.20.90.31.00.10.80.20.5BZ
13771374 aα-copaene0.5 0.7 1.2 1.0 0.4 0.2 1.6 0.2 0.3 0.4 0.6 0.8 SH
13931389 aβ-elemenetr tr 0.1 0.1 tr 0.1 trtr SM
14081400 aβ-longipinene1.9 0.6 2.5 1.0 1.50.10.6 0.7 0.6 2.4 4.8 SM
14201417 aE-caryophyllene0.50.24.90.25.40.25.10.31.00.30.60.36.60.20.20.21.00.21.90.20.80.11.40.3SM
14411439 a2-phenylethyl butanoate0.1 0.1 0.1 0.1 BZ
14541452 aα-humulene0.1tr0.5 0.7tr0.6tr0.3tr0.1tr0.6 tr 0.1 0.2tr0.3 0.5trSH
14871490 a2-phenylethyl 3-methylbutanoate 0.1 0.1 0.10.30.2 0.2 0.40.10.20.2BZ
14961498 aα-selinene0.10.10.1 0.2 0.10.10.10.10.10.10.2 0.1 0.10.1tr0.10.1SH
15091505 aβ-bisabolene0.1 0.1 0.2 0.1 0.1 0.1 0.2 tr0.1 0.1 SH
15241521 atrans-calamenene0.1 0.1 0.2 tr 0.1 SH
15251522 aδ-cadinene tr0.1 0.2 0.2 tr 0.1 0.1 0.1trSH
15641561 aE-nerolidol 0.1 0.1 0.1tr0.1tr0.1tr0.1 0.1 0.1 0.1 tr 0.1OS
15711565 a3Z-hexenyl benzoate 0.1 0.1 0.1 0.1 BZ
15781577 aspathulenol0.1tr 0.1tr0.10.10.1tr0.1 0.1 0.1 0.1 0.20.10.1 0.1OS
15841582 acaryophyllene oxide5.10.23.4 4.90.24.90.35.20.34.50.35.60.24.80.15.40.25.50.44.20.20.70.3OS
15881590 aβ-copaen-4α-oltr tr tr tr tr 0.1 0.1 OS
15991600 aguaiol tr 0.1 0.1 0.1 0.1 0.1 tr 0.1 0.1 tr 0.1OS
16101608 ahumulene epoxide II0.4 0.2 0.2 0.3 0.3 0.3 0.4 0.3 0.2 0.3tr0.2 tr OS
16301627 a1-epi-cubenol0.1trtr 0.1 0.1tr tr 0.10.1tr 0.10.1 OS
16341639 acaryophylla-4(12),8(13)-dien-5α-ol0.3 0.2 0.3 0.3 0.8 0.2 tr OS
16371639 acaryophylla-4(12),8(13)-dien-5β-ol0.8 0.6 0.8 1.0 1.3 1.0 1.7 0.2 0.9 1.4 0.9 OS
16561651 apogostol 1.0 1.0 1.01.90.61.8OS
16561658 aselin-11-en-4α-ol0.91.50.81.30.91.5 0.61.91.11.6 2.50.92.01.02.4 OS
16591661 aallo-himachalol 0.2 0.7 OS
16721668 a14-hydroxy-9-epi-E-caryophyllene0.5 0.3 tr 0.4 0.4 OS
16691670 abulnesol tr tr 0.1 0.1 0.1 0.1 0.1 0.1OS
16781676 amustakone0.1 tr tr 0.1 OS
17591759 acyclocolorenone 0.4 0.2 0.4 0.1 0.8 0.5 0.2 0.5 0.1OS
Monoterpene hydrocarbons0.75.90.30.62.15.90.63.01.72.10.70.91.60.60.70.10.51.40.10.24.81.01.03.2
Oxygenated monoterpenes2.917.63.314.04.515.23.914.44.021.82.814.03.313.53.05.32.96.82.37.73.55.83.212.8
Sesquiterpene hydrocarbons3.20.37.20.210.50.28.20.43.40.51.70.59.50.21.10.31.90.22.60.44.20.17.80.5
Oxygenated sesquiterpenes8.22.35.51.37.12.17.61.06.90.96.43.49.12.27.43.37.62.78.33.97.52.21.42.6
Benzenoids83.173.182.582.474.476.377.978.877.072.584.176.770.883.187.591.086.688.985.887.078.890.886.880.8
Total98.099.198.898.498.599.798.297.693.097.895.895.594.399.699.799.899.499.999.099.298.899.9100.099.8
RIC = calculated retention index (Rtx-5ms column); RIL = literature retention index; a = Adams, 2007 [26]; b = Mondello, 2011 [27]; tr: traces (<0.1%); main constituents in bold, n = 2 (standard deviation was less than 2.0); MH = monoterpene hydrocarbons; OM = oxygenated monoterpenes; SH = sesquiterpene hydrocarbons; OS: oxygenated sesquiterpenes; BZ: benzenoids.
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Cruz, E.d.N.S.d.; Barros, L.d.S.P.; Guimarães, B.d.A.; Mourão, R.H.V.; Maia, J.G.S.; Setzer, W.N.; da Silva, J.K.d.R.; Figueiredo, P.L.B. Seasonal Variation in Essential Oil Composition and Antioxidant Capacity of Aniba canelilla (Lauraceae): A Reliable Source of 1-Nitro-2-phenylethane. Molecules 2023, 28, 7573. https://doi.org/10.3390/molecules28227573

AMA Style

Cruz EdNSd, Barros LdSP, Guimarães BdA, Mourão RHV, Maia JGS, Setzer WN, da Silva JKdR, Figueiredo PLB. Seasonal Variation in Essential Oil Composition and Antioxidant Capacity of Aniba canelilla (Lauraceae): A Reliable Source of 1-Nitro-2-phenylethane. Molecules. 2023; 28(22):7573. https://doi.org/10.3390/molecules28227573

Chicago/Turabian Style

Cruz, Ellen de Nazaré S. da, Luana de Sousa P. Barros, Bruna de A. Guimarães, Rosa Helena V. Mourão, José Guilherme S. Maia, William N. Setzer, Joyce Kelly do R. da Silva, and Pablo Luis B. Figueiredo. 2023. "Seasonal Variation in Essential Oil Composition and Antioxidant Capacity of Aniba canelilla (Lauraceae): A Reliable Source of 1-Nitro-2-phenylethane" Molecules 28, no. 22: 7573. https://doi.org/10.3390/molecules28227573

APA Style

Cruz, E. d. N. S. d., Barros, L. d. S. P., Guimarães, B. d. A., Mourão, R. H. V., Maia, J. G. S., Setzer, W. N., da Silva, J. K. d. R., & Figueiredo, P. L. B. (2023). Seasonal Variation in Essential Oil Composition and Antioxidant Capacity of Aniba canelilla (Lauraceae): A Reliable Source of 1-Nitro-2-phenylethane. Molecules, 28(22), 7573. https://doi.org/10.3390/molecules28227573

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