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Effects of Growth Month Variations on Volatile Profiles, Anti-Glycation Capacity, and Antioxidant Activity of Cyclocarya paliurus Leaves: A SPME-GC-MS Study

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13 February 2026

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13 February 2026

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Abstract
Cyclocarya paliurus leaves are widely consumed as “sweet tea”, yet mature leaves harvested after spring remain underutilized despite their potential health-promoting value. This study aimed to clarify how harvest month modulates volatile signatures and functional bioactivities of C. paliurus leaves across the growing season. Leaves collected from May to September (Q5–Q9) were extracted with water and characterized by spectrophotometric quantification of major non-volatile constituents (TPC, TFC, TP, and TSC), SPME–GC–MS profiling of volatile organic compounds (VOCs), DPPH radical scavenging assays, and BSA-based glucose/fructose glycation models; multivariate and correlation analyses were further applied to link chemical dynamics with bioactivities. Antioxidant capacity exhibited clear harvest-stage dependence, with Q9 and Q6 showing the strongest DPPH scavenging and the lowest IC₅₀ values (0.119 and 0.222 mg/mL, respectively). Anti-glycation activity displayed a similar temporal pattern: in both Glu–BSA and Fru–BSA systems, Q6 and Q9 consistently achieved the most pronounced inhibition of AGEs accumulation, exceeding 70% at weeks 3–4. VOCs underwent substantial seasonal remodeling, characterized by alkene predominance in Q6 (74.00%), alcohol enrichment in Q7 (38.90%), and a transient increase of alkanes in Q8 (22.32%), with ketones recurring at early and late stages. Correlation analysis and a three-phase schematic model collectively suggest that functional differentiation is driven by coordinated interactions between the non-volatile matrix (notably flavonoids) and stage-specific volatile signatures (e.g., alkenes and ketones). Overall, these findings provide a mechanistic basis for precision harvesting and stage-targeted utilization of mature C. paliurus leaves to optimize both bioactivity and aroma quality.
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1. Introduction

Cyclocarya paliurus (Batalin) Iljinskaja (C. paliurus), also known as the sweet tea tree, is a deciduous tree belonging to the genus Cyclocarya of the family Juglandaceae and is one of the endemic plant resources in China, mainly distributed in the middle and lower reaches of the Yangtze River [1]. Due to their inherent sweetness, C. paliurus leaves have been traditionally utilized as a “sweet tea” in folk medicine, with a long history of use and a well-established safety profiles[2]. On October 30, 2013, C. paliurus leaves were officially approved in China as a novel food ingredient and permitted for consumption as a conventional food in the form of infusion[3]. Currently, functional tea products derived from the immature leaves of C. paliurus have achieved large-scale industrialization. Notably, this species represents the first Chinese herbal tea to receive approval from the U.S. Food and Drug Administration (FDA), highlighting its significant market potential and international recognition[4]. Despite the established industry, current production primarily focuses on the tender leaves harvested in April. Consequently, a substantial volume of mature leaves from subsequent growth stages remains underutilized, leading to a significant waste of potential resources. In fact, previous studies have demonstrated that the mature leaves of C. paliurus possess potential health-promoting properties, including hypoglycemic, hypolipidemic, and anti-aging effects, thereby suggesting promising prospects for their further high-value applications[5]. Therefore, with the increasing attention to the edible and health-promoting values of C. paliurus, its chemical composition and biological activities have gradually become research hotspots.
In recent years, with the increasing attention to C. paliurus in the development of functional foods and natural plant resources, studies on its chemical composition and biological activities have been continuously growing. A large body of evidence indicates that C. paliurus leaves are rich in various bioactive constituents, including flavonoids and their glycosides, polyphenols, phenolic acids, alkaloids, triterpenoids, and polysaccharides, which collectively constitute the material basis for their antioxidant and anti-glycation activities[6,7,8]. In terms of antioxidant capacity, numerous studies utilizing various in vitro assays,such as DPPH, ABTS, FRAP, and models for hydroxyl and superoxide anion radical scavenging have confirmed that C. paliurus leaves extracts exhibit potent radical scavenging capabilities and significant total antioxidant activity[9,10]. Further animal experiments have demonstrated that C. paliurus can significantly enhance the activities of endogenous antioxidant enzymes, including superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GSH-Px), while reducing lipid peroxidation levels, thereby exerting protective effects against oxidative stress related damage in the liver, pancreas, and kidneys[11,12]. Regarding anti-glycation and hypoglycemic effects, component isolation and in vivo studies have shown that the flavonoid and polysaccharide fractions are the main contributors to the antihyperglycemic activity of C. paliurus leaves[13]. Studies based on type 2 diabetic animal models induced by streptozotocin (STZ) or by a high-fat diet combined with low-dose STZ further revealed that C. paliurus leaves extracts significantly reduce fasting blood glucose levels, improve glucose tolerance and insulin sensitivity, and exert hypoglycemic and pancreatic protective effects by inhibiting pancreatic β-cell apoptosis and maintaining islet structural integritys[14,15,16]. Meanwhile, studies on diabetic complications have gradually emerged, indicating that C. paliurus can confer protection against diabetic nephropathy and related complications by inhibiting aldose reductase activity and alleviating oxidative stress[17].
With regard to volatile constituents, the application of advanced analytical techniques, such as HS-SPME-GC-MS(Headspace-Solid-Phase-Microextraction-Gas Chromatography-Mass Spectrometry), HS-GC-IMS (Headspace - Gas Chromatography - Ion Mobility Spectrometry), has facilitated the detailed characterization of the volatile composition of C. paliurus leaves. These studies have identified the primary volatile compounds, which predominantly include alcohols, aldehydes, ketones, esters, olefins, and terpenoids, collectively contributing to the characteristic aroma profile of C. paliurus tea[18,19,20]. From the dual perspectives of leaf ontogeny and metabolic regulation, existing literature demonstrates that the concentrations of flavonoids, phenolic acids, alkaloids, and terpenoids in C. paliurus leaves do not remain static during growth. Instead, these secondary metabolites undergo dynamic flux facilitated by a series of continuous biochemical transformations, including degradation, methylation, glycosylation, redox reactions, and isomerization[21]. Consequently, significant differences in metabolic intensity and pathways occur at different growth stages, leading to stage-dependent changes in chemical composition and biological activities. This dynamic variation not only modulates the accumulation and biotransformation of non-volatile bioactive constituents (such as flavonoids, polyphenols, and glycosides), but may also govern the biosynthesis and emission of volatile compounds via precursor conversion and metabolically coupled pathways.
Collectively, contemporary research on C. paliurus has evolved from the fundamental identification of chemical constituents to comprehensive functional characterizations, including antioxidant activity, hypoglycemic effects, and metabolic regulation. Concurrent advancements have also been documented in the profiling of volatile organic compounds (VOCs). However, existing literature primarily emphasizes comparative analyses across disparate geographical origins or bioactivity assessments of samples harvested at a single time point. Systematic investigations concerning the coordinated dynamic fluctuations in volatile profiles, antioxidant capacity, and anti-glycation potential throughout the growth cycle or across different leaf ages remain significantly underrepresented.
Therefore, this study systematically characterized C. paliurus leaves harvested between May and September to investigate the month-dependent fluctuations in volatile profiles, as well as their antioxidant and anti-glycation activities. The concentrations of total phenolics (TPC), total flavonoids (TFC), total polysaccharides (TP), and total saponins (TSC) were quantified using established spectrophotometric protocols, specifically the Folin–Ciocalteu assay, aluminum chloride (AlCl3) colorimetry, the phenol-sulfuric acid method, and the vanillin-perchloric acid method, respectively. And the volatile organic compounds (VOCs) were identified and semi-quantitated via solid-phase microextraction coupled with gas chromatography-mass spectrometry (SPME-GC-MS) to delineate temporal aroma signatures. Furthermore, in vitro antioxidant capacity was determined through DPPH radical scavenging assays, while anti-glycation potential was rigorously assessed using a bovine serum albumin (BSA) glycation model. By establishing correlations between the dynamic evolution of volatile constituents and their biological activities, this research elucidates the functional material basis of C. paliurus leaves across different ontogenetic stages, providing a scientific foundation for the high-value utilization of mature leaf resources.

2. Materials and Methods

2.1. Reagents and Chemicals

C. paliurus leaves samples collected at different growth stages were obtained from Hunan Yueling Junshan Agroforestry Technology Co., Ltd. (Hunan, China). Folin–Ciocalteu phenol reagent was purchased from Hefei Bomei Biotechnology Co., Ltd. (Hefei, China). Anhydrous ethanol was supplied by Anhui Ante Food Co., Ltd. (Anhui, China), while phenol was obtained from Guangdong Guanghua Technology Co., Ltd. (Guangdong, China). Sulfuric acid and perchloric acid were purchased from Hunan Huihong Reagent Co., Ltd. (Hunan, China). The following guaranteed reagents were provided by Chengdu Lemeitian Pharmaceutical Technology Co., Ltd. (Chengdu, China): gallic acid, rutin solution, glucose, fructose, methylglyoxal (MGO; 40% aqueous solution), bovine serum albumin (BSA), o-phenylenediamine (OPD), hydrochloric acid, phosphate buffer saline (PBS), 2,2-diphenyl-1-picrylhydrazyl (DPPH), β-mercaptoethanol, NaHCO3, Tris and oleanolic acid. Anhydrous sodium carbonate, sodium nitrite, aluminum nitrate, vanillin, and glacial acetic acid were purchased from Sinopharm Chemical Reagent Co., Ltd. (Shanghai, China).

2.2. Preparation of C. paliurus Leaves Sample

All C. paliurus leaves samples were collected from Huping Mountain, Shimen County, Hunan Province, P.R. China (110.773665° N, 29.94036696° E). To elucidate the accumulation dynamics of leaf constituents over the growing season, approximately 200 ± 0.50 g of fresh, fully expanded and mature leaves were sampled at four-week intervals during the 2024 growing period (3 May, 1 June, 3 July, 6 August, and 1 September). For each sampling time point, leaves were randomly harvested from three trees exhibiting comparable canopy characteristics and pooled to generate a representative composite sample. All collected samples were oven-dried at 60 °C to constant weight, finely ground into powder, and stored at −20 °C until subsequent analysis.

2.3. Extraction C. paliurus Leaves Samples

Each powdered sample of C. paliurus leaves (6.0 ± 0.01 g) was extracted with 120 mL of distilled water in a 250 mL round-bottomed flask at 90 °C for 40 min using a water bath. The extract was then centrifuged at 4,500 rpm for 5 min at 4 °C. The supernatant was filtered successively through three layers of gauze three times. The combined filtrate was concentrated under reduced pressure (75 kPa) at 65 °C, followed by lyophilization in a freeze-dryer (Xinzhi Freeze-drying Equipment Co., Ltd., Ningbo, China). The resulting lyophilized powder was sealed and stored at −20 °C until subsequent analysis.

2.4. Determination of Total Phenolic Content (TPC), Total Flavonoid Content (TFC), Total Polysaccharide Content (TP) and Total Saponin Content (TSC)

Lyophilized C. paliurus leaves powder was used for the determination of total phenolic content (TPC), total flavonoid content (TFC), total polysaccharide content (TP), and total saponin content (TSC). Extraction yield was calculated as the percentage ratio of the final lyophilized dry mass to the initial fresh mass. All constituent contents were expressed on a dry weight basis of the lyophilized powder.
The total phenolic content (TPC) of lyophilized C. paliurus leaves powder was determined using the Folin–Ciocalteu colorimetric method, as previously described by Xiao et al. [22]. Quantification was performed using a gallic acid calibration curve, and results were expressed as milligrams of gallic acid equivalents per gram of dry weight (mg GAE/g DW). The total flavonoid content (TFC) was measured by the aluminum nitrate colorimetric method according to Yang et al. [23]. A rutin standard curve was employed for calibration, and the results were reported as milligrams of rutin equivalents per gram of dry weight (mg RE/g DW). The total polysaccharide content (TP) was determined using the phenol–sulfuric acid method [24], with glucose used as the reference standard. Data were expressed as milligrams of glucose equivalents per gram of dry weight (mg GE/g DW). The total saponin content (TSC) was quantified following the spectrophotometric method described by de Aguiar et al. [25], which involves acid hydrolysis to release triterpene aglycones, followed by vanillin-based color development. Quantification was based on an oleanolic acid standard curve, and results were expressed as milligrams of oleanolic acid equivalents per gram of dry weight (mg OAE/g DW).

2.5. Antioxidant Evaluation of C. paliurus Leaves Extracts (DPPH Test)

A methanolic solution of DPPH (0.315 mM) was freshly prepared prior to analysis. C. paliurus extracts were serially diluted (20–200-fold) to obtain final concentrations of 0.2, 0.5, 1.0, 2.0, 3.5, and 5.0 mg/mL. For the assay, 20 μL of each diluted sample was mixed with 200 μL of the DPPH solution in disposable optical polystyrene 96-well plates.[26]. The reaction mixture was incubated at room temperature in the dark for 30 min, after which the absorbance was measured at 517 nm using a microplate spectrophotometer. All measurements were performed in triplicate. The free radical scavenging activity was inversely proportional to the absorbance value. The scavenging activity (%) was calculated using the following equation:[27]:
I n h i b i t i o n % = A B S c o n t r o l A B S s a m p l e A B S b l a n k A B S c o n t r o l × 100
ABScontrol: Absorbance of the 220 μL DPPH-methanol solution in methanol,
ABSsample: Absorbance of the 20 μ L sample solutions (various concentrations) + 200 μ L DPPH-methanol solution,
ABSblank: Absorbance of the 220 μ L sample solutions (various concentrations).

2.6. Antiglycative Evaluation of C. paliurus leaves Extracts in BSA Models

To evaluate the antiglycation activity of C. paliurus leaves extracts, two in vitro glycation models, namely glucose–BSA (Glu–BSA) and fructose–BSA (Fru–BSA), were established. For the Glu–BSA model, bovine serum albumin (BSA; 50 mg mL⁻¹) and d-glucose (0.8 M) were dissolved in 100 mL of phosphate-buffered saline (PBS), corresponding to 5 g BSA and 14.4 g glucose. The Fru–BSA model was prepared in an analogous manner by dissolving 5 g BSA and 45.05 g fructose in 100 mL PBS to obtain final concentrations of 50 mg mL⁻¹ BSA and 2.5 M fructose. For each glycation system, 1 mL of the reaction mixture was combined with 50 μL of the test extract. Control samples were prepared by adding 50 μL of methanol in place of the extract. Sodium azide (NaN₃) was added to all samples at a final concentration of 0.2 g L⁻¹ to prevent microbial contamination. The reaction mixtures were incubated at 37 °C for 4 weeks.The formation of advanced glycation end-products (AGEs) was monitored weekly by measuring fluorescence intensity. At each time point, 200 μL of the reaction mixture was transferred to a black 96-well microplate, and fluorescence was recorded using a Victor X4 Multilabel Plate Reader (PerkinElmer, USA) at excitation and emission wavelengths of 330 nm and 410 nm, respectively. The fold change in AGEs-associated fluorescence for each extract was calculated according to Equation A, and the corresponding AGEs inhibition rate was determined using Equation B. [28].
Re l a t i v e A G E s f l u o r e s c e n c e = T r t n C t l 0
i n h i b i t i o n % = 1 T r t n C t l 0 × 100
Trt n: The fluorescence of a solution with C. paliurus extract at the n wk;
Ctl 0: The original fluorescence of a corresponded control solution;
Ctl n: The fluorescence of a corresponded control solution at the n wk.

2.7. Gas Chromatography Mass Spectrometry (GC-MS) Analysis

Approximately 0.50 ± 0.01 g of the sample was accurately weighed into a 15 mL headspace vial and equilibrated in a thermostatic water bath at 60 °C for 10 min. A preconditioned solid-phase microextraction (SPME) fiber (250 °C for 30 min) was then introduced into the vial for headspace extraction, with adsorption allowed to proceed for 45 min. Immediately after extraction, the SPME fiber was inserted into the GC injector port and thermally desorbed at 250 °C for 3 min, during which time data acquisition was initiated.
GC conditions: A DB-5MS capillary column (30 m × 0.25 mm, 0.25 μm) was employed. The carrier gas was high-purity helium (purity ≥ 99.999%) under constant flow mode at a flow rate of 1.7 mL/min. The injection port temperature was set at 250°C in splitless mode. The temperature program was as follows: initial temperature 40°C, held for 5 min; increased to 85 °C at 10°C/min, held for 3 min; then raised to 200°C at 4 °C/min, held for 3 min; finally increased to 230°C at 10°C/min, held for 1 min.
MS conditions: Electron ionization (EI) source was used with an ionization energy of 70 eV. The ion source temperature was 200 °C, the transfer line temperature was 250 °C, and the quadrupole temperature was 150 °C. Full scan mode was applied with a mass scan range of m/z 35–400 amu. The solvent delay time was 3 min, emission current was 100 μA, and detector voltage was 1.4 kV. The NIST 14 mass spectral library was utilized for compound identification, and compounds with a match factor >80% were retained. Each sample was analyzed in triplicate to ensure the reproducibility and reliability of the results [29].

2.8. Statistical Analysis

The taste attributes obtained via electronic tongue analyses are expressed as means ± standard deviation (SD) and was subjected to a one-way analysis of variance (ANOVA) with Duncan’s test using SPSS (25.0, IBM) software. Hierarchical clustering analysis was performed using TBtools software (TB tools, Guangzhou, China), while SIMCA-P 14.1 multivariate statistical software (Umetrics, Umea, Sweden) was used for generating radar plots, principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) along with other visual representations.

3. Results

3.1. Changes in TPC, TFC, TP and TSC of C. Paliurus Leaves in Different Growth Periods

The contents of total phenolics (TPC), total flavonoids (TFC), total saponins (TSC), and total protein (TP) in C. paliurus leaves exhibited distinct growth stage–dependent variation patterns (Figure 1). Among these components, TPC remained relatively stable from Q5 to Q9, showing only minor fluctuations, indicating that phenolic accumulation was largely maintained throughout the main growing season with minimal dilution effects from leaf expansion. In contrast, The TFC displayed pronounced temporal variation, increasing markedly from Q5 to reach a maximum at Q7, remaining at a relatively high level at Q8, and then decreasing sharply at Q9. This trend suggests that flavonoid biosynthesis is strongly influenced by developmental stage and seasonal environmental conditions, such as increased irradiance and temperature during active growth. Similar mid-summer peaks in flavonoid accumulation have been reported for C. paliurus and are supported by recent metabolomics studies showing substantial seasonal variation in secondary metabolites [1,30,31]. Compared with the TFC, TSC exhibited relatively limited variation across the growth stages, with only a modest increase at Q7, implying a more tightly regulated biosynthesis or slower metabolic turnover of saponins. TP showed a distinct V-shaped pattern, decreasing from Q5 to a minimum at Q6 and subsequently increasing toward Q9. The early decrease may be associated with rapid leaf expansion–induced dilution, whereas the later increase likely reflects enhanced protein synthesis or a concentration effect at later developmental stages.In general, TFC and TP showed greater seasonal variability than TPC and TSC, indicating that flavonoids and proteins are the most growth stage–responsive constituents in C. paliurus leaves and may therefore play key roles in determining their functional and nutritional properties.

3.2. Changes of Antioxidant Activity

The DPPH radical scavenging activity of C. paliurus leaves extracts increased in a concentration-dependent manner for all sampling months (Figure 2), demonstrating typical dose–response behavior. However, marked differences in antioxidant capacity were observed among growth periods. Extracts from Q9 and Q6 exhibited substantially stronger scavenging activity than those from other months across the tested concentration range. At 5 mg/mL, the scavenging rates of Q6 and Q9 exceeded 80%, approaching that of the positive control (vitamin C), whereas Q5, Q7, and Q8 showed relatively weaker activities. These differences were further confirmed by IC50 values (Table 1), with Q9 showing the lowest IC50 (0.119 mg/mL), followed by Q6 (0.222 mg/mL), indicating superior antioxidant capacity at later and mid-growth stages. The weaker antioxidant performance of Q5 may be related to the incomplete development of secondary metabolism at early growth stages. Notably, the strong antioxidant activity of Q6 and Q9 was not directly correlated with TP content, suggesting that proteins are not the primary contributors to DPPH scavenging activity.Recent research suggests that the antioxidant capacity of C. paliurus is often the result of a synergistic effect between flavonoids and water-soluble polysaccharides, rather than a single component [32,33]. Instead, the enhanced antioxidant capacity observed at mid-to-late growth stages is more likely associated with flavonoids and other phenolic-derived compounds, which possess multiple hydroxyl groups capable of donating electrons or hydrogen atoms to neutralize free radicals[Error! Reference source not found.]. The discrepancy in scavenging behavior between Q7 and Q8, despite comparable IC50 values, further implies that qualitative differences in antioxidant composition, rather than total content alone, may influence radical scavenging efficiency.

3.3. Changes of Anti-Glycation Capacity

The anti-glycation activity of C. paliurus leaf extracts was evaluated using both Glu-BSA and Fru-BSA models over prolonged incubation (Figure 3). In both models, the fluorescence intensity of AGEs in the control groups increased steadily with incubation time, confirming the progressive formation of glycation end products. In contrast, all leaf extracts suppressed AGEs accumulation to varying extents, with clear differences among growth periods.In the Glu-BSA system, extracts from Q6 and Q9 consistently exhibited lower AGEs fluorescence intensity after week 2 compared with other months, indicating stronger inhibition of glycation reactions. Similar trends were observed in the Fru-BSA model, where Q9 showed the most pronounced suppression of AGEs formation during weeks 2–4, followed by Q6. These observations were further supported by AGEs inhibition rates, which increased markedly at later incubation stages. In both models, Q6 and Q9 achieved the highest inhibition rates (>70%) at weeks 3–4, whereas Q5, Q7, and Q8 showed comparatively weaker effects. The superior anti-glycation performance of Q9 extracts suggests that bioactive compounds involved in glycation inhibition preferentially accumulate at later growth stages. This is supported by recent metabolomic and transcriptomic analyses, which identified September (late growth stage) as a critical period for the biosynthesis of hypoglycemic and functional metabolites in C. paliurus leaves [35,36].
This trend is in agreement with the enhanced antioxidant activity, further supporting the premise that antioxidant mechanisms, particularly the scavenging of reactive oxygen species and the sequestration of reactive carbonyl intermediates, play critical roles in inhibiting the formation of advanced glycation end-products (AGEs). Antioxidants can interfere with multiple stages of the glycation cascade, thereby limiting both oxidative and carbonyl stress associated with AGEs generation. Moreover, the distinct responses observed between the glucose–BSA (Glu–BSA) and fructose–BSA (Fru–BSA) models suggest that differences in extract composition may differentially modulate sugar-specific glycation pathways. Fructose is known to exhibit higher glycation reactivity than glucose due to its greater proportion of open-chain structures, leading to more rapid and severe AGEs formation. The comparatively stronger inhibitory effects observed in one model over the other therefore imply that specific bioactive constituents in C. paliurus extracts may preferentially target fructose- or glucose-mediated glycation reactions.Furthermore, the studies on polysaccharide synthesis have also highlighted the contribution of late-stage macromolecules to the overall bioactivity of the leaves [Error! Reference source not found.]. On the whole, these results demonstrate that the anti-glycation capacity of C. paliurus leaves is strongly dependent on harvest month, with later growth stages, particularly Q9, exhibiting the most pronounced inhibitory effects against AGEs formation. Recent transcriptomic and metabolomic analyses have also identified the late growth stage (September) as a critical period for the biosynthesis of hypoglycemic and functional metabolites in C. paliurus [Error! Reference source not found.].

3.4. Analysis of VOCs by GC-MS

The volatile organic compounds (VOCs) in C. paliurus leaves collected at different growth stages (Q5–Q9) were identified and quantified by GC–MS, and the results are summarized at both class and individual compound levels (Figure 4 and Table 2). A diverse array of volatile constituents, including alkanes, alkenes, aldehydes, alcohols, ketones, and other compounds, was detected, exhibiting pronounced growth-stage-dependent variations in both composition and relative abundance.
At the compound class level, alkenes predominated among the volatile constituents across most growth stages, with a particularly high relative abundance observed in June (Q6), where they accounted for 74.00% of the total volatiles. In contrast, the volatile profile of early-stage leaves (Q5) exhibited a more heterogeneous composition, characterized by a balanced contribution of alkenes (40.99%), ketones (13.70%), and a substantial proportion of other unclassified compounds (35.70%).
As leaf development progressed, distinct shifts in chemical classes were observed. Alcohols displayed a striking accumulation pattern, showing a sharp peak in July (Q7, 38.90%), suggesting a specific metabolic shift towards hydroxylated compounds during this mid-growth period. Subsequently, alkanes increased markedly in August (Q8), reaching their highest level of 22.32%, before declining in September (Q9). Ketones, on the other hand, exhibited a bimodal distribution, with higher levels observed in the early (Q5, 13.70%) and late (Q9, 13.32%) stages, and lower proportions during the mid-summer months. Notably, the category of "other compounds" remained high in Q5, Q8, and Q9 (approx. 30–35%), indicating a complex accumulation of diverse metabolites during these specific periods.
At the individual compound level (Figure 4 and Table 3), the volatile profiles exhibited substantial qualitative turnover across different growth stages. The high proportion of alkenes observed in Q6 suggests a predominance of terpene hydrocarbons during the rapid vegetative growth phase. In contrast, the pronounced increase in alcohols at Q7 indicates enhanced oxidative modification of volatile precursors, potentially triggered by elevated temperatures or developmentally regulated metabolic shifts in mid-summer. During the late growth stage (Q9), the re-emergence of ketones along with a broader array of other volatile compounds points to further metabolic reprogramming associated with leaf maturation or the onset of senescence. Such dynamic changes in volatile composition, particularly the increasing complexity and differentiation of chemical fingerprints across harvest periods, are widely recognized as important determinants of quality variation in C. paliurus [38].
The observed shifts in volatile organic compounds (VOCs) composition are consistent with the variations in biological activities. The enrichment of oxygenated volatiles, particularly alcohols at Q7, together with the increased structural diversity of terpenoids, may indirectly contribute to the antioxidant and anti-glycation potential of C. paliurus leaves. Although volatile organic compounds are not considered major contributors to radical scavenging activity, their pronounced temporal transitions from hydrocarbon dominated profiles at Q6 to alcohol and alkane enriched compositions at Q7 and Q8 provide important chemical evidence for harvest stage dependent functional differentiation in C. paliurus leaves. Similar dynamic shifts in volatile composition, especially involving terpenoids and oxygenated compounds, have been widely recognized as key factors underlying quality differentiation in C. paliurus tea [Error! Reference source not found.]. In general, the GC–MS analysis demonstrates that the harvest timing significantly influences the volatile signature of C. paliurus leaves. These compositional dynamics highlight that June and July are critical periods for the accumulation of terpenoid hydrocarbons and alcohols, respectively, which determines the sensory attributes and potential functional value of the leaf products.

3.5. Correlation Analysis Between Volatile Organic Compounds and Antioxidant and Anti-Glycation Activities of C. paliurus Leaves Collected in Different Months

To further explore the potential relationships between the volatile organic compounds (VOCs) composition variability and biological functions of C. paliurus leaves, a hierarchical clustering heatmap was constructed based on the normalized contents of VOC classes, primary metabolites (TP, TSC), secondary metabolites (TPC, TFC), and bioactivities (antioxidant and anti-glycation) (Figure 5). The growth stage dependent clustering observed in the heatmap highlights substantial metabolic and functional divergence of C. paliurus leaves across the harvest period.
A striking synchronous accumulation pattern was observed in the late growth stage (Q9). As shown in Figure 5, Q9 was characterized by the highest intensity of Antioxidant Activity (dark red blocks), which clustered tightly with Ketones and Total Protein (TP). This co-occurrence suggests that the specific accumulation of ketone-type volatiles (e.g., potential oxidation products) in September might contribute synergistically to the enhanced radical scavenging capacity, or they may share common biosynthetic regulatory pathways responding to late-season environmental signals.
In contrast, Anti-glycation activity displayed a different temporal profile, showing relatively higher levels in the mid-growth stages (Q6–Q7). This activity pattern aligned closely with the high relative abundance of Alkenes and Total Flavonoids (TFC) observed in Q6. Notably, although Total Phenols (TPC) were most abundant in the early stage (Q5), their decline in subsequent months did not strictly parallel the trends in bioactivities, implying that specific phytochemical classes (such as flavonoids or specific volatile terpenes) might be more biologically relevant contributors than the total phenolic pool in this context. This complex relationship reflects the metabolic network reprogramming that occurs during leaf maturation, as revealed by joint transcriptomic and metabolic analyses [Error! Reference source not found.].
Furthermore, aldehydes and alkanes formed a distinct cluster with maximal abundance at Q8 and exhibited a comparatively weaker association with the evaluated bioactivities than other classes of volatile organic compounds. Overall, the correlation analysis indicates that the functional properties of C. paliurus leaves are not governed by a single class of constituents but instead arise from complex interactions between the non-volatile matrix (notably flavonoids) and specific volatile signatures, such as ketones and alkenes, which dynamically shift during leaf maturation.

3.6. Characterization of Key Aroma-Active Compounds and Sensory Profiles

Beyond the functional bioactivities revealed by the correlation analysis, the variation in volatile composition profoundly influences the sensory quality of C. paliurus leaves, which is a decisive factor for consumer acceptance. While the heatmap (Figure 4) highlighted the quantitative shifts of chemical classes, Table 3 provides a detailed qualitative insight into the specific odor-active compounds responsible for the unique aroma profiles across different harvest months.
In the early growth stage (Q5), the aroma profile was predominantly characterized by woody, herbal, and spicy notes, largely attributed to the accumulation of sesquiterpenes. Key contributors includedα-Cubebene (sweet, herbal, woody), γ-Muurolene (woody, spicy), and β-Caryophyllene (clove-like, spicy). The presence of Dill ether introduced a characteristic herbal nuance, while 2-Decyne added a medicinal, citrusy background. This suggests that early-season leaves possess a robust, medicinal sensory character typical of herbal teas.
A dramatic sensory shift occurred in June (Q6), transitioning towards a fresher, fruitier, and more floral profile. This stage was distinguished by the emergence of aldehydes and oxygenated compounds such as Hexanal (pungent) and 2-Methyl-2-pentenal (fruity, ripe cherry-like), which impart the "green" freshness associated with young leaves. Notably, the detection of (-)-Isopulegol (minty, cooling) and Dihydrojasmone (jasmine, woody) indicates a significant enrichment in cooling and floral attributes, making Q6 a critical period for harvesting leaves with refreshing sensory qualities.
During the mid-to-late summer stages (Q7 and Q8), the volatile signature evolved to feature sweet, balsamic, and minty characteristics. The appearance of trans/cis-Carveol contributed distinct spearmint and caraway notes. Furthermore, sesquiterpenes such as β-Elemene andδ-Elemene provided sweet undertones, while α-Guaiene offered a unique balsamic and peppery aroma. cis-Sabinene hydrate in Q8 further reinforced the balsamic profile, suggesting that leaves harvested in July and August develop a mellower, richer fragrance compared to the sharp freshness of June.
In the late growth stage (Q9, September), the aroma profile became highly complex, blending green, floral, and honey-like notes. The re-emergence of green leaf volatiles like 2-Hexenal (green, leafy, fruity) alongside Rhodinol (floral, rose-like) and α-Copaene (honey-like) created a unique sensory phenotype. Although some waxy alkanes (e.g., 3-Methylundecane) were detected, the persistence of sweet and floral modulators indicates that late-harvest leaves still retain desirable aroma properties, potentially suitable for specific tea product formulations requiring a heavy, sweet fragrance.
Collectively, the odor activity analysis reveals a distinct temporal succession of aroma types: from the Herbal/Woody dominance in May, to the Fresh/Floral/Minty peak in June, followed by Sweet/Balsamic notes in July–August, and finally a Green/Honey-like profile in September. These findings provide a scientific basis for precision harvesting: Q6 is optimal for producing fresh-scented beverages, while Q5 and Q7–Q8 may be better suited for functional teas with medicinal or rich balsamic characteristics. This approach is supported by the identification of specific taste-active compounds that fluctuate seasonally, directly influencing the flavor profile and consumer acceptance of C. paliurus product [1,38].

4. Discussion

Based on the temporal dynamics of volatile metabolic signatures and their correlations with bioactivities, a schematic model was proposed to illustrate the seasonal functional divergence of C. paliurus leaves (Figure 6). This conceptual framework divides the harvest period into three distinct physiological phases characterized by coordinated shifts in metabolism and biological function.
Phase I (Summer growth phase, Q5–Q7) is marked by a pronounced biosynthetic activation of secondary metabolites, particularly terpenoid hydrocarbons (alkenes) and flavonoids. As illustrated in Fig. 6, anti-glycation activity closely parallels the accumulation of alkenes, reaching its maximum in June (Q6). This synchrony suggests that the vigorous secondary metabolism associated with rapid leaf expansion primarily contributes to the glycation-inhibitory potential of the leaves during early and mid-summer.
Phase II (Stress-response transition phase, Q8) represents a metabolic inflection point occurring in August. During this stage, a distinct enrichment of alkanes is observed (yellow curve in Figure 6), likely reflecting an adaptive response to late-summer heat or drought stress. Increased alkane production is commonly associated with enhanced cuticular wax biosynthesis, which serves to reduce transpirational water loss. Notably, both antioxidant and anti-glycation activities are comparatively reduced during this transitional phase, indicating a temporary shift in metabolic prioritization toward structural protection rather than bioactivity-related functions.
Phase III (Autumn senescence phase, Q9) is characterized by senescence-associated oxidative metabolism. As shown in Fig. 6, the volatile profile shifts toward oxygenated compounds, particularly ketones (blue curve), which are typically derived from fatty acid or terpene oxidation. This phase coincides with a marked increase in total phenolics content and antioxidant capacity. Such synchronization suggests that oxidative stress accompanying senescence induces compensatory upregulation of antioxidant enzymes, ultimately resulting in the highest radical scavenging activity observed at Q9.
Collectively, this model demonstrates that the functional value of C. paliurus leaves is not static but dynamically regulated by developmental progression and environmental cues. The temporal separation of anti-glycation and antioxidant activities provides a mechanistic basis for precision harvesting strategies tailored to specific functional targets.

5. Conclusions

This study systematically elucidates the month-dependent variations of volatile organic compounds (VOCs) and bioactivities in C. paliurus leaves from May to September. Our results reveal a distinct harvest-stage dependence: September (Q9) and June (Q6) emerged as peak periods for antioxidant and anti-glycation potential, with Q9 exhibiting the highest DPPH scavenging (IC₅₀ = 0.119 mg/mL) and >70% inhibition of advanced glycation end-products (AGEs). The volatile profile underwent significant remodeling, transitioning from alkene predominance in Q6 (74.00%) to alcohol enrichment in July (38.90%). Correlation analysis demonstrates that these functional properties are not driven by isolated compounds, but by a dynamic synergy between the non-volatile matrix (flavonoids) and stage-specific VOCs (alkenes and ketones). We propose a three-phase schematic model where anti-glycation capacity aligns with summer terpenoid enrichment, while antioxidant activity peaks during late-season metabolic shifts. These findings provide a precision-harvesting framework to optimize C. paliurus for functional tea production, balancing bioactivity with aroma. Future research will target the molecular coupling mechanisms between bioactive and volatiles to validate these metabolic markers across diverse environments. We hope to report more about these advancements in the future.
Solid-Phase Microextraction (SPME) ; Gas chromatography-mass spectrometry (GC–MS) ; Liquid chromatography-mass spectrometry (LC-MS); Volatile organic compounds (VOCs); Partial least square regression (PLSR); Bovine serum albumin (BSA); O-phenylenediamine (OPD); Phosphate buffer saline (PBS); 1,1-diphenyl-2-picrylhydrazyl (DPPH); Total Phenolic Content (TPC); Total Flavonoid Content (TFC); Total Polysaccharide (TP) Content; Total Saponin Content (TSC); Electrospray ionization (ESI); Principal component analysis (PCA); Advanced glycation end-products (AGEs); Electron ionization (EI)

Author Contributions

Yanmeng Fu: Conceptualization, Methodology, Formal analysis, Investigation, Writing - original draft, Writing - review & editing. Qiyue Shao: Conceptualization, Formal analysis, Investigation, Writing - original draft. Liang Chen: Formal analysis, Investigation, Writing - original draft. Tianxiao Zhang: Methodology, Data curation, Investigation. Jingyi Zhao: Formal analysis, Investigation. Wenhui Zhou: Methodology, Data curation. Bin Long: Methodology, Conceptualization, Data curation. Dai Lu: Methodology, Formal analysis, Data analysis. Wei Wang: Supervision, Writing - review & editing, Funding acquisition. Xing Tian: Supervision, Writing - review & editing, Funding acquisition.

Acknowledgments

This study was supported by “Hunan Natural Science Foundation Program” (Project No. 2023JJ30445, 2024JJ6337), “Hunan Province Traditional Chinese Medicine Research Project” (Project No. B2024012), The State-sponsored Postdoctoral Researcher Program of China (Project No. GZB20230206). The authors thank Hunan Yueling Junshan Agriculture and Forestry Technology Co., Ltd. providing the Cyclocarya paliurus leave raw materials support.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Figure 1. Changes in the TPC, TFC, TSC, and TP ofC. paliurusleaves in five different months Notes: TPC (Total Phenolic Content), TFC (Total Flavonoid Content), TP (Total Polysaccharide Content), and TSC (Total Saponin Content). Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
Figure 1. Changes in the TPC, TFC, TSC, and TP ofC. paliurusleaves in five different months Notes: TPC (Total Phenolic Content), TFC (Total Flavonoid Content), TP (Total Polysaccharide Content), and TSC (Total Saponin Content). Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
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Figure 2. Scavenging ability against DPPH ofC. paliurusleaves in five different months. Notes: vc refers to vitamin C); Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
Figure 2. Scavenging ability against DPPH ofC. paliurusleaves in five different months. Notes: vc refers to vitamin C); Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
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Figure 3. The anti-glycation potential of different monthly C. paliurus leaves under long-term incubation. (A) Relative fluorescence intensity of AGEs in Glu-BSA model; (B) Relative fluorescence intensity of AGEs in Fru-BSA model; (C) AGEs inhibition rate in Glu-BSA model; (D) AGEs inhibition rate in Fru-BSA model. Glu-BSA model: glucose-bovine serum albumin model; Fru-BSA model: fructose-bovine serum albumin model; AGEs: advanced glycation end products; Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
Figure 3. The anti-glycation potential of different monthly C. paliurus leaves under long-term incubation. (A) Relative fluorescence intensity of AGEs in Glu-BSA model; (B) Relative fluorescence intensity of AGEs in Fru-BSA model; (C) AGEs inhibition rate in Glu-BSA model; (D) AGEs inhibition rate in Fru-BSA model. Glu-BSA model: glucose-bovine serum albumin model; Fru-BSA model: fructose-bovine serum albumin model; AGEs: advanced glycation end products; Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
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Figure 4. Changes in volatile components of C. paliurus leaves in five different monthsNote: Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
Figure 4. Changes in volatile components of C. paliurus leaves in five different monthsNote: Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
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Figure 5. The relative composition of major volatile compound classes of C. paliurus leaves at different growth stages. Note: Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
Figure 5. The relative composition of major volatile compound classes of C. paliurus leaves at different growth stages. Note: Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
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Figure 6. Proposed mechanism linking volatile metabolic dynamics to the temporal separation of antioxidant and anti-glycation activities. Note: Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
Figure 6. Proposed mechanism linking volatile metabolic dynamics to the temporal separation of antioxidant and anti-glycation activities. Note: Q5-Q9 refers to the samples of the leaves of C. paliurus collected from May to September.
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Table 1. IC50 values of DPPH free radical scavenging capacity of C. paliurus in five different months.
Table 1. IC50 values of DPPH free radical scavenging capacity of C. paliurus in five different months.
Month IC50( DPPH·)
Q5 0.297
Q6 0.222
Q7 0.252
Q8 0.242
Q9 0.119
Table 2. The composition and content of volatile compounds in the leaves of C. paliurus in different months.
Table 2. The composition and content of volatile compounds in the leaves of C. paliurus in different months.
class Compound Name CAS No. Q5 Q6 Q7 Q8 Q9
Content (%) RT (min) Content (%) RT (min) Content (%) RT (min) Content (%) RT (min) Content (%) RT (min)
Alkanes Cyclohexene, 4-bromo- 3540-84-9 - - 1.74 15.86 - - 1.71 15.83 0.97 15.83
1-Chloroheptane 629-06-1 - - - - 0.39 14.42 0.32 14.38 - -
1-Chlorohexane 544-10-5 - - - - 1.31 8.97 - - 0.46 8.97
Tridecane 629-50-5 - - - - - - 0.37 40.94 0.18 40.93
trans-Sabinene hydrate 17699-16-0 - - 2.52 22.75 - - - - - -
(1S,2R,5S)-2,6,6-trimethylbicyclo [3.1.1]heptane 6876-13-7 - - - - 0.98 17.15 - - - -
1-Methyl-2-(1-methylpentyl)cyclopropane 62238-06-6 - - 0.38 14.43 - - - - - -
1-methylene-4-(1-methylvinyl)cyclohexane 499-97-8 - - - - - - - - 0.50 17.73
2-methylbutan-2-ylcyclohexane 31797-64-5 - - 0.90 27.26 - - - - - -
3,9-dimethylundecane 17301-31-4 - - - - 0.45 36.25 - - - -
3-CHLOROOCTANE 1117-79-9 - - 4.75 18.01 - - - - - -
3-Methylundecane 1002-43-3 - - - - - - - - 0.27 31.29
4-BROMO-1-CYCLOHEXENE 3540-84-9 1.32 15.76 - - - - - - - -
4-bromocyclohexene - - - - 2.17 15.80 - - - -
Bicyclo[3.1.1]heptane, 2,6,6-trimethyl-, (1R,2R,5R)-rel- 10281-53-5 - - - - - - - - 0.39 17.18
Bicyclo[3.2.0]heptane,2-ethenyl-2,6,6-trimethyl-1-(1-methylethenyl)-,(1R,2S,5S)-rel- 871660-95-6 - - - - - - - - 15.82 40.66
Bromo-1-chloro - - - - - - - - 10.77 5.09
Cyclodecane 293-96-9 - - - - 1.11 29.00 - - - -
Cyclooctane, 1,4-dimethyl-, cis- 10565-37-4 - - - - - - 3.65 20.73 - -
α-Isocomene 65372-78-3 - - - - 1.02 43.83 16.04 43.85 - -
2-Chlorooctane 628-61-5 1.46 17.91 - - - - - - - -
4-Chlorooctane 999-97-3 - - - - 7.19 17.51 - - - -
Octylcyclopropane 1472-12-4 - - - - 0.98 24.53 - - - -
Alkenes α-Cubebene 17699-14-8 0.96 43.45 1.38 43.45 1.04 43.49 6.18 43.52 - -
3-Bromocyclohexene 1521-51-3 1.61 16.62 3.67 16.73 2.04 16.68 3.07 16.68 - -
α-ylangene 14912-44-8 45.35 44.79 0.92 44.77 1.88 44.77 - - - -
Cyclosativene 22469-52-9 - - 0.39 44.59 - - - - 3.41 44.02
(Z)-2-Undecene 764-85-2 - - 1.19 25.71 2.30 25.67 - - - -
Hydrocarbon C12 - - 0.98 26.87 3.00 25.92 - - - -
α-Longipinene 5989-08-2 - - 0.84 42.73 6.37 43.87 - - - -
Menthofuran 494-90-6 - - - - 0.75 32.58 1.01 32.60 - -
Panaxene 871660-95-6 - - - - 3.12 40.64 15.72 41.55 - -
β-Elemene 3388-04-3 - - - - 0.99 45.82 1.21 45.82 - -
Viridoflorene 21747-46-6 - - - - 2.36 46.63 0.55 46.63 - -
β-Caryophyllene 87-44-5 1.76 47.15 - - 2.89 47.54 - - - -
Longifolene 475-20-7 - - - - 3.08 46.36 3.42 46.36 - -
β-Longipinene 15301-20-4 - - - - - - - - 0.67 46.34
α-Guaiene 3691-12-1 - - - - 12.93 47.97 - - - -
Longicyclene 1137-12-8 - - - - - - - - 9.47 44.32
Alloaromadendrene 25246-27-9 - - 1.97 47.92 - - - - - -
α-Calamenene 483-77-2 - - - - - - 2.30 44.77 - -
Ascaridole 512-85-6 - - 0.33 37.84 - - - - - -
trans-Carveol 1197-07-5 - - - - 3.04 35.77 0.83 35.78 0.22 35.75
8-Methyl-1-decene 13151-34-3 - - - - 2.21 22.14 - - - -
α-Terpinene 99-86-5 1.22 19.10 - - - - - - - -
3-Carene 13466-78-9 - - - - 0.48 19.14 - - - -
Viridoflorene 21747-46-6 - - - - - - - - 0.37 47.46
Longifolene 475-20-7 - - - - 1.22 45.58 - - - -
Edulan I 41678-25-5 - - - - 2.05 41.40 - - - -
Valencene 4630-07-3 - - - - - - - - 0.62 48.51
Rhodinol 141-25-3 - - - - - - - - 0.25 33.44
α-Copaene 3856-25-5 - - - - - - - - 2.30 44.76
α-Ylangene 14912-44-8 - - - - - - - - 0.17 45.01
β-Copaene 18252-44-3 - - - - - - - - 0.15 47.39
α-Patchoulene 560-32-7 - - - - - - 9.57 43.95 - -
δ-Elemene 20307-84-0 - - - - - - 1.60 41.84 - -
Alkynes 1-Undecyne 2243-98-3 - - - - 4.86 23.08 9.19 23.10 2.71 23.06
2-Decyne 2384-86-3 1.43 20.69 - - - - - - - -
2-Decyne 2384-86-3 - - 5.14 20.75 - - - - - -
Aldehydes (Z)-6-Nonenal 2277-19-2 - - - - 4.11 24.03 - - - -
10-Undecenal 112-45-8 - - - - - - 0.34 39.69 - -
(E)-2-Ethyl-2-butenal 19780-25-7 - - - - 4.35 8.26 - - - -
2-Ethylhexanal 123-05-7 - - - - 0.74 14.82 - - - -
(E)-2-Hexenal 6728-26-3 - - - - - - - - 0.27 8.37
2-Methyl-2-pentenal 623-36-9 - - 2.97 8.22 - - - - - -
Hexanal 66-25-1 - - 1.09 6.38 - - - - - -
(E)-2-Nonen-1-ol 31502-14-4 0.97 31.76 - - 1.48 31.33 1.37 31.79 - -
Alcohols trans-Isopiperitenol 16721-39-4 - - 0.95 34.11 - - 0.44 34.12 - -
Ocimenol 2270-40-8 - - 3.12 30.24 1.54 30.24 - - - -
trans-Carveol 1197-07-5 - - - - 3.04 35.77 0.83 35.78 0.22 35.75
(-)-Isopulegol 89-79-2 - - 3.32 29.06 - - 1.65 29.04 - -
cis-p-Mentha-2,8-dien-1-ol 4017-02-1 - - - - 1.84 23.65 - - - -
3-Thujanol 546-79-2 - - - - - - 0.56 27.80 - -
cis-Sabinene hydrate 15537-55-0 0.99 22.66 - - - - - - - -
β-Terpineol 138-87-4 - - - - - - 5.74 30.36 - -
cis-Carveol 13429-07-7 - - - - 2.20 34.10 - - - -
3,3,5-Trimethylcyclohexanol 116-02-9 - - 5.05 23.10 - - - - - -
3-Methyl-1-heptanol 1470-24-2 - - - - - - - - 1.05 20.74
4-Methyl-1-pentanol 626-89-1 - - 2.67 8.93 - - - - - -
(Z)-Ocimenol 106064-70-0 - - - - - - - - 4.34 30.23
Sulcatol 1569-60-4 - - 0.62 17.15 - - - - - -
Neoisothujanol 21653-20-3 - - 0.35 31.35 - - - - - -
3-Thujanol 546-79-2 - - - - 0.86 30.91 - - - -
trans-Verbenol 1820-09-3 - - - - - - 0.37 28.81 - -
cis-Sabinene hydrate 15537-55-0 - - - - - - - - 0.52 22.72
(Z)-2-(3,3-Dimethylcyclohexylidene)ethanol 55253-28-6 - - - - 2.82 36.47 - - - -
Isopulegol 89-79-2 - - - - - - - - 2.44 30.25
Sabinene hydrate 546-87-2 - - - - - - 1.03 22.74 - -
trans-p-Mentha-2,8-dien-1-ol 3886-78-0 - - - - - - - - 0.26 26.84
6-Methyl-6-hepten-2-one 10408-15-8 2.11 15.22 5.98 15.30 3.40 15.28 1.73 15.33 2.23 15.33
Ketones 2-Octyl trifluoroacetate 13109-64-3 - - 21.54 17.60 - - - - - -
Isolongifolene 1135-66-6 - - - - - - - - 1.88 42.37
Isobornyl acetate 125-12-2 - - - - 1.55 32.37 - - - -
Dihydrojasmone 1128-08-1 - - 0.23 44.94 - - - - - -
2-Tridecanone 593-08-8 - - 0.29 51.08 - - - - - -
Carbofuran phenol 1563-38-8 - - 0.40 39.42 1.89 39.41 1.32 39.42 0.82 39.42
Dill ether 74410-10-9 - - - - - - - - 0.50 32.57
Chloroacetyl chloride 79-04-9 - - - - - - - - 14.18 3.24
Others Cyperene 2387-78-2 - - - - - - - - 0.15 45.16
Piperitol acetate 5258-29-7 - - - - 0.99 41.83 - - - -
Neoisothujyl acetate 52673-82-4 - - - - - - 4.43 38.60 - -
Emylcamate 78-28-4 - - 0.59 24.56 - - - - - -
Isopentylbenzene 2049-94-7 - - 0.42 23.75 - - - - - -
2,8-Dimethylquinoline 1463-17-8 - - - - - - - - 0.22 45.29
2,5-Di-tert-butyl-1,4-benzoquinone 2460-77-7 - - - - - - - - 0.25 48.81
EdulanI 41678-25-5 - - - - - - - - 0.26 41.40
Table 3. Odor descriptions of the aroma components of C. paliurus leaves in different months.
Table 3. Odor descriptions of the aroma components of C. paliurus leaves in different months.
month CAS Compound molecular formula Odor description
Q5 2384-70-5 2-Decyne C10H18 Lemon, medicinal, citrus
31502-14-4 trans-2-Nonen-1-ol C9H18O Waxy, violet
74410-10-9 Dill ether C10H16O Dill-like
17699-14-8 α-Cubebene C15H24 Sweet, herbal, woody
118-65-0 γ-Muurolene C15H24 Woody, spicy
87-44-5 β-Caryophyllene C15H24 Sweet, woody, spicy, clove-like
Q6 66-25-1 Hexanal C6H12O Pungent
623-36-9 2-Methyl-2-pentenal C6H10O Aldehydic, fruity, garlic-like, ripe cherry, earthy
626-89-1 4-Methyl-1-pentanol C6H14O Nutty
2384-70-5 2-Decyne C10H18 Lemon, medicinal, citrus
116-02-9 3,3,5-Trimethylcyclohexanol C9H18O Minty, musty, spicy
89-79-2 (-)-Isopulegol C10H18O Minty, cooling, medicinal, woody
17699-14-8 α-Cubebene C15H24 Sweet, herbal, woody
1128-08-1 Dihydrojasmone C11H18O Jasmine, myrrh, woody
Q7 13466-78-9 3-Carene C10H16 Citrus, terpenic, medicinal, woody
31502-14-4 trans-2-Nonen-1-ol C9H18O Waxy, violet
1197-07-5 trans-Carveol C10H16O Spearmint
1197-06-4 cis-Carveol C10H16O Caraway
17699-14-8 α-Cubebene C15H24 Sweet, herbal, woody
515-13-9 β-Elemene C15H24 Sweet
87-44-5 β-Caryophyllene C15H24 Sweet, woody, spicy, clove-like
3691-12-1 α-Guaiene C15H24 Sweet, woody, balsamic, peppery
Q8 15537-55-0 cis-Sabinene hydrate C10H18O Balsam-like
89-79-2 (-)-Isopulegol C10H18O Minty, cooling, medicinal, woody
31502-14-4 trans-2-Nonen-1-ol C9H18O Waxy, violet
74410-10-9 Dill ether C10H16O Dill-like
1197-06-4 cis-Carveol C10H16O Caraway
20307-84-0 δ-Elemene C15H24 Sweet, herbal, woody
17699-14-8 α-Cubebene C15H24 Sweet, herbal, woody
515-13-9 β-Elemene C15H24 Sweet
3691-12-1 α-Guaiene C15H24 Sweet, woody, balsamic, peppery
Q9 979-4-9 Chloroacetyl chloride C2H2Cl2O Strong, pungent
505-57-7 2-Hexenal C6H10O Green, leafy, fruity
3886-78-0 trans-p-Mentha-2,8-dien-1-ol C10H16O Fresh, minty
89-79-2 Isopulegol C10H18O Minty, cooling, medicinal, woody
1002-43-3 3-Methylundecane C12H26 Mild, waxy
74410-10-9 Dill ether C10H16O Dill-like
6812-78-8 Rhodinol C10H20O Floral
1197-06-4 cis-Carveol C10H16O Caraway
20307-84-0 δ-Elemene C15H24 Sweet, herbal, woody
17699-14-8 α-Cubebene C15H24 Herbal
3856-25-5 α-Copaene C15H24 Honey-like
515-13-9 β-Elemene C15H24 Sweet
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