Search Results (1,563)

The advancement of Artificial Intelligence (AI) has significantly accelerated progress across various research domains, with growing interest in plant science due to its substantial economic potential. However, the integration of AI with digital vegetation analysis remains underexplored, largely due to the absence of large-scale, real-world plant datasets, which are crucial for advancing this field. To address this gap, we introduce the PP3D dataset—a meticulously labeled collection of about 500 potted plants represented as 3D point clouds, featuring fine-grained annotations for approximately 20 species. The PP3D dataset provides 3D phenotypic data for about 20 plant species spanning model organisms (e.g., Arabidopsis thaliana), potted plants (e.g., Foliage plants, Flowering plants), and horticultural plants (e.g., Solanum lycopersicum), covering most of the common important plant species. Leveraging this dataset, we propose the panoptic plant recognition task, which combines semantic segmentation (stems and leaves) with leaf instance segmentation. To tackle this challenge, we present SCNet, a novel dual-representation learning network designed specifically for plant point cloud segmentation. SCNet integrates two key branches: a cylindrical feature extraction branch for robust spatial encoding and a sequential slice feature extraction branch for detailed structural analysis. By efficiently propagating features between these representations, SCNet achieves superior flexibility and computational efficiency, establishing a new baseline for panoptic plant recognition and paving the way for future AI-driven research in plant science. Full article

The genera Allium (Liliaceae) and Anchusa (Boraginaceae) are flowering plant genera with a rich diversity, also including the Allium kharputense Freyn & Sint. and Anchusa azurea Mill. var. azurea species. The antioxidant, anti-Alzheimer’s disease (AD), antidiabetic, and antiglaucoma effects of the Allium kharputense Freyn & Sint. and Anchusa azurea Mill. var. azurea species, which are commonly eaten foods in the Southeast of Türkiye in the treatment of several diseases, were studied. To interpret the antioxidant capacities of ethanol extract of two plant species, aerial parts were analyzed by ABTS and DPPH assays. The IC₅₀ values of A. kharputense and A. azurea ethanol and water extracts for ABTS^•+ activities were recorded in the range of 30.93 to 33.94 µg/mL and 33.45 to 33.78 µg/mL, respectively. Also, DPPH^• activities were measured at 30.78 to 36.87 µg/mL and 31.67 to 32.45 µg/mL, respectively. The best of the IC₅₀ values was measured in the ethanol extract of A. kharputense as 30.78 µg/mL for DPPH scavenging activity. The total phenolic and flavonoid quantities in A. kharputense and A. azurea plants were measured. The highest phenolic and flavonoid contents of A. kharputense and A. azurea species were recorded in amounts of 445.52 and 327.35 mg GAE/g in ethanol extracts, respectively, and 332.88 and 234.03 mg QE/g in ethanol extracts, respectively. The effects of A. kharputense and A. azurea on diabetes, AD, and glaucoma were studied on the target enzymes of diseases. The most efficient IC₅₀ values were recorded at 10.72 μg/mL against α-glycosidase, 35.01 μg/mL against AChE, 38.05 μg/mL against BChE, 9.21 μg/mL towards hCA I, and 81.02 μg/mL towards hCA II isoenzymes. The kinds and amounts of phenolic compounds in A. kharputense and A. azurea were determined using LC-MS/MS against 53 standards. A. kharputense and A. azurea plants have prospective use in enhancing glaucoma, diabetes, AD, Parkinson’s disease, epilepsy, and cancerous disorders. Full article

For the first time, essential oils (EOs) from the leaves and flowers of Lantana camara L., grown in Loja, Ecuador, have been isolated by steam distillation and analyzed. The oil yields from the extractions were 0.021 and 0.005% for the leaves and flowers, respectively. A compositional analysis using gas chromatography revealed the presence of EOs, comprising approximately 97.98% of the extract from the leaves and 74.58% of the extract from the flowers. The chemical characterization of these EOs indicated sesquiterpenic profiles. The most representative constituents of the essential oils from the flowers were γ-Curcumene (21.79%), (E, E)-α-Farnesene (20.07%), and α-Zingiberene (13.38%), while the EOs from the leaves were characterized by the abundant presence of γ-Curcumene (21.87%), (E)-Nerolidol (15.09%), and cis-Muurola-4(14),5-diene (12.65%). Furthermore, the acaricidal efficacy of the EOs from the leaves of L. camara was tested by a dip test with adult ticks, resulting in acaricidal efficacy at concentrations of 10%, demonstrating the useful properties of these EOs. Full article

This study investigates the effect of precursor pH (1.3, 2, 4, 6, 8, and 10) on the synthesis of gold nanoparticles (AuNPs) via a green synthesis approach using an aqueous extract of green tea (Camellia sinensis) leaves. The formation of AuNPs was monitored using UV-vis spectrophotometry and confirmed using transmission electron microscopy (TEM). The results confirmed that the morphology and size of the AuNPs are strongly dependent on the pH of the reaction medium. Based on spectral features, the color of the colloids, and TEM analysis, the synthesized samples were classified into three groups. The first (pH 8 and 10) contained predominantly spherical nanoparticles with an average diameter of ~18 nm, the second (pH 1.3 and 2) contained different shaped nanoparticles (20–250 nm in diameter), and the third (pH 4 and 6) contained flower-like nanostructures with a mean diameter of ~60 nm. UV-vis analysis revealed good stability of all AuNP colloids, except at pH 1.3, where a significant decrease in absorbance intensity over time was observed. These findings confirm that tuning the precursor pH allows for controlled manipulation of nanoparticle morphology and stability in green synthesis systems. Full article

Knowledge about the composition (volatile and non-volatile) and functionality of natural extracts from Mediterranean plants serves as a basis for their further application. In this study, five selected plants were used for the extraction of plant metabolites. Leaves and flowers of Critmum maritimum, Rosmarinus officinalis, Olea europea, Phylliera latifolia and Mellisa officinalis were collected, and a total of 12 extracts were prepared. Extractions were performed under microwave-assisted conditions, with two solvent types: water (W) and a hydroalcoholic (ethanolic) solution (HA). Detailed extract analysis was conducted. Phenolics were analyzed by detecting individual bioactive compounds using high-performance liquid chromatography and by calculating total phenolic and total flavonoid content through spectrophotometric analysis. Higher concentrations of total phenolics and total flavonoids were obtained in the hydroalcoholic extracts, with the significantly highest total phenolic and flavonoid values in the rosemary hydroalcoholic extract (3321.21 mg_GAE/L) and sea fennel flower extract (1794.63 mg_QE/L), respectively; and the lowest phenolics in the water extract of olive leaves (204.55 mg_GAE/L) and flavonoids in the water extracts of sea fennel leaves, rosemary, olive and mock privet (around 100 mg_QE/L). Volatile organic compounds (VOC) were detected using HS-SPME/GC–MS (Headspace Solid-Phase Microextraction coupled with Gas Chromatography-Mass Spectrometry), and antioxidant capacity was estimated using DPPH (2,2-diphenyl-1-picrylhydrazyl assay) and FRAP (Ferric Reducing Antioxidant Power) methods. HS-SPME/GC–MS analysis of samples revealed that sea fennel had more versatile profile, with the presence of 66 and 36 VOCs in W and HA sea fennel leaf extracts, 52 and 25 in W and HA sea fennel flower extracts, 57 in rosemary W and 40 in HA, 20 in olive leaf W and 9 in HA, 27 in W mock privet and 11 in HA, and 35 in lemon balm W and 10 in HA extract. The lowest values of chlorophyll a were observed in sea fennel leaves (2.52 mg/L) and rosemary (2.21 mg/L), and chlorophyll b was lowest in sea fennel leaf and flower (2.47 and 2.25 mg/L, respectively), while the highest was determined in olive (6.62 mg/L). Highest values for antioxidant activity, determined via the FRAP method, were obtained in the HA plant extracts (up to 11,216 mg_AAE/L for lemon balm), excluding the sea fennel leaf (2758 mg_AAE/L) and rosemary (2616 mg_AAE/L). Considering the application of these plants for fresh fish preservation, antimicrobial activity of water extracts was assessed against Vibrio fischeri JCM 18803, Vibrio alginolyticus 3050, Aeromonas hydrophila JCM 1027, Moraxella lacunata JCM 20914 and Yersinia ruckeri JCM 15110. No activity was observed against Y. ruckeri and P. aeruginosa, while the sea fennel leaf showed inhibition against V. fisheri (inhibition zone of 24 mm); sea fennel flower was active against M. lacunata (inhibition zone of 14.5 mm) and A. hydrophila (inhibition zone of 20 mm); and rosemary and lemon balm showed inhibition only against V. fisheri (inhibition zone from 18 to 30 mm). This study supports the preparation of natural extracts from Mediterranean plants using green technology, resulting in extracts rich in polyphenolics with strong antioxidant potential, but with no clear significant antimicrobial efficiency at the tested concentrations. Full article

Plant flowers are recognized as a rich source of bioactive phenolic compounds. In this study, for the first time, the recovery of antioxidant phenolic compounds from Cytisus striatus flowers (CF) was optimized using microwave-assisted extraction (MAE). The variables (% of ethanol, temperature, and time) were studied using a response surface methodology (RSM). Extraction efficiency was assessed by total phenol content, total flavonoid content, and the antioxidant capacity through DPPH, ABTS, FRAP, and CUPRAC assays. Additionally, cytotoxicity and anti-inflammatory properties were evaluated in different cell lines. The optimal extraction conditions (87.6% ethanol, 160.8 °C and 8.76 min) yielded extracts rich in phenolics (85.9 mg GAE/g CF) and flavonoids (120.3 mg RE/g CF), with strong antioxidant capacity. LC-MS/MS analysis identified 27 phenolic compounds, including chrysin, apigenin, and quercetin derivatives. Cytotoxicity tests showed that CF extract maintained high viability (>80%) in human embryonic kidney (HEK293T) and human lung adenocarcinoma (A549) cells up to 2000 µg/mL, indicating low cytotoxicity. The anti-inflammatory potential was evidenced by a decrease in IL-1β levels and an increase in IL-10 cytokine production in LPS-stimulated macrophages. These results highlight the great potential of CF as a promising bioresource to obtain value-added compounds for the development of functional foods, nutraceuticals, and cosmetic products. Full article

Origanum majorana L. (O. majorana) (Lamiaceae) is an aromatic Mediterranean plant widely used in food, cosmetics, and traditional medicine due to its aroma and rich content of bioactive compounds. While its leaves and flowers are commonly utilized, lignified stems are often discarded. This study compared hydroalcoholic extracts from the leaves and flowers (valuable fraction, VF) and stems (by-product, BP). Phytochemical analysis revealed qualitatively similar profiles, identifying 20 phenolic compounds, with Rosmarinic acid and Salvianolic acid B as the most and second most abundant, respectively. Antioxidant activity was evaluated in vitro using DPPH (IC₅₀ [µg/mL]: VF 30.11 ± 3.46; BP 31.72 ± 1.46), H₂O₂ (IC₅₀ [µg/mL]: VF 103.09 ± 4.97; BP 119.55 ± 10.58), and O₂^•− (IC₅₀ [µg/mL]: VF 0.71 ± 0.062; BP 0.79 ± 0.070). Both extracts (20 µg/mL) fully restored oxidative balance in hemin-stressed AC16 cardiomyocytes, without altering the expression of catalase, heme-oxygenase 1, superoxide dismutase 2, or ferritin. Anti-inflammatory activity in LPS-stimulated RAW 264.7 macrophages showed that VF (IC₅₀ 400 µg/mL) reduced ^•NO release to control levels, while BP achieved a ~60% reduction. Cytotoxicity was assessed on cancer cell lines: CaCo-2 (IC₅₀ [µg/mL]: VF 154.1 ± 6.22; BP 305.2 ± 15.94), MCF-7 (IC₅₀ [µg/mL]: VF 624.6 ± 10.27; BP 917.9 ± 9.87), and A549 (IC₅₀ [µg/mL]: VF 720.8 ± 13.66; BP 920.2 ± 16.79), with no cytotoxicity on normal fibroblasts HFF-1 (IC₅₀ > 1000 µg/mL for both extracts). Finally, both extracts slightly inhibited only CYP1A2 (IC₅₀ [µg/mL]: VF 497.45 ± 9.64; BP 719.72 ± 11.37) and CYP2D6 (IC₅₀ [µg/mL]: VF 637.15 ± 14.78, BP 588.70 ± 11.01). These results support the potential reuse of O. majorana stems as a sustainable source of bioactive compounds for nutraceutical and health-related applications. Full article

The Inula japonica flower is traditionally used to alleviate lung inflammatory symptoms. While the therapeutic effect of the I. japonica flower on lung diseases has been suggested, the efficacy of the I. japonica flower in treating atopic dermatitis (AD) remains unknown. We investigated the effects of a water extract of the I. japonica flower (WEIF) on Dermatophagoides farinae extract (DfE)-induced AD-like inflammation in NC/Nga mice. Histological analysis of the epidermal structure, mast cell infiltration, and barrier protein expression were examined. Serum inflammatory mediator levels were assessed. To elucidate the regulatory pathway of WEIF, the effects of 1,5-dicaffeoylquinic acid (DCQA) and 1-O-acetylbritannilactone (ABL) in WEIF on the JAK/STAT pathway were evaluated in interferon-γ/tumor necrosis factor (TNF)-α-stimulated human adult epidermal keratinocytes. WEIF ameliorated DfE-induced skin inflammation by reducing dermatitis scores, mast cell infiltration, skin structural damage, and serum inflammatory mediator levels. Additionally, DCQA and ABL significantly inhibited JAK/STAT activation in interferon-γ/TNF-α-treated keratinocytes. Furthermore, ligand-binding analysis revealed high binding affinities of DCQA and ABL for JAK. These results suggest the pharmacological potential of WEIF to alleviate DfE-induced skin inflammation by inhibiting the JAK/STAT signaling pathway. In conclusion, these findings support the development of WEIF as a therapeutic treatment for AD-like skin inflammatory diseases. Full article

Crataegus monogyna, commonly known as hawthorn, is a valuable plant in pharmaceutical production. Its flowers, leaves, and fruits are rich in antioxidants. This study explores the application of pulsed electric field (PEF) for enhanced extraction of bioactive compounds from C. monogyna leaves. The liquid-to-solid ratio, solvent composition (ethanol, water, and 50% v/v aqueous ethanol), and key PEF parameters—including pulse duration, pulse period, electric field intensity, and treatment duration—were investigated during the optimization process. To determine the optimal extraction conditions and their impact on antioxidant activity, response surface methodology (RSM) with a six-factor design was employed. The total polyphenol content in the optimized extract was 244 mg gallic acid equivalents/g dry weight, while individual polyphenols were analyzed using high-performance liquid chromatography coupled with a diode array detector (HPLC-DAD). Furthermore, antioxidant activity was assessed using ferric-reducing antioxidant power (FRAP) and DPPH radical scavenging assays, yielding values of 3235 and 1850 μmol ascorbic acid equivalents/g dry weight, respectively. Additionally, correlation analyses were conducted to evaluate the interactions between bioactive compounds and antioxidant capacity. Compared to other extraction techniques, PEF stands out as an eco-friendly, non-thermal standalone method, offering a sustainable approach for the rapid production of health-promoting extracts from C. monogyna leaves. Full article

In order to meet the needs for the rapid detection of crop growth and support variable management in farmland, an intelligent chlorophyll content in cotton leaves (CCC) detection system based on hyperspectral imaging (HSI) technology was designed and developed. The system includes a near-infrared (NIR) hyperspectral image acquisition module, a spectral extraction module, a main control processor module, a model acceleration module, a display module, and a power module, which are used to achieve rapid and non-destructive detection of chlorophyll content. Firstly, spectral images of cotton canopy leaves during the seedling, budding, and flowering-boll stages were collected, and the dataset was optimized using the first-order differential algorithm (1D) and Savitzky–Golay five-term quadratic smoothing (SG) algorithm. The results showed that SG had better processing performance. Secondly, the sparrow search algorithm optimized backpropagation neural network (SSA-BPNN) and one-dimensional convolutional neural network (1DCNN) algorithms were selected to establish a chlorophyll content detection model. The results showed that the determination coefficients $R_p^2$ of the chlorophyll SG-1DCNN detection model during the seedling, budding, and flowering-boll stages were 0.92, 0.97, and 0.95, respectively, and the model performance was superior to SG-SSA-BPNN. Therefore, the SG-1DCNN model was embedded into the detection system. Finally, a CCC intelligent detection system was developed using Python 3.12.3, MATLAB 2020b, and ENVI, and the system was subjected to application testing. The results showed that the average detection accuracy of the CCC intelligent detection system in the three stages was 98.522%, 99.132%, and 97.449%, respectively. Meanwhile, the average detection time for the samples is only 20.12 s. The research results can effectively solve the problem of detecting the nutritional status of cotton in the field environment, meet the real-time detection needs of the field environment, and provide solutions and technical support for the intelligent perception of crop production. Full article

In modern society, obesity and its associated complications have emerged as serious public health concerns, primarily stemming from sedentary lifestyles and carbohydrate-rich diets. Due to the severe side effects often associated with pharmacological anti-obesity agents, emerging global efforts focus on preventive strategies, e.g., dietary modifications and weight gain-suppressing functional foods. In this context, plant-derived metabolites are extensively investigated for their beneficial anti-obesity effects. In this study, we evaluated how Rosa rugosa Thunb. flower bud extract affects fat metabolism in 3T3-L1 preadipocyte cells. The extract significantly inhibited adipocyte differentiation and intracellular triglyceride accumulation in 3T3-L1 cells, enhanced lipolysis, suppressed lipogenesis, and promoted energy metabolism in differentiated adipocytes. In vivo, it reduced body and organ weights and fat mass in high-fat diet-induced obese rats, along with marked adipocyte size and hepatic lipid accumulation reductions. In the epididymal adipose tissue, the extract similarly enhanced lipolytic activity, suppressed lipogenic enzyme expression, and stimulated energy expenditure. Taken together, our results demonstrate the potential of R. rugosa Thunb. flower bud extract in reducing fat accumulation through lipid metabolism modulation both in cellular and animal models. Further studies are warranted to identify the active constituents and evaluate the safety and efficacy of the extract in clinical applications. Full article

Malva sylvestris L. is a herbaceous plant, distributed worldwide, rich in biological active compounds, and known for its health benefits. In this study, extracts from different parts (leaves, flowers, and roots) of this plant were prepared using green classic (70% ethanol) and natural deep eutectic solvents (NADESs) based on choline chloride and acetic acid (NADES1) or glycerol (NADES2). Their antioxidant, antibacterial (against B. cereus, S, aureus, E. coli, and P. aeruginosa), and antifungal activity (against P. chrysogenum, F. oxysporum, A. parasiticus, A. flavus, A. niger A. carbonarius, and A. ochraceus) were compared. Ethanolic extracts were characterized with the highest total contents of phenols, flavonoids, and condensed tannins. Ethanolic and NADES flower extracts were the richest in the antioxidants tested. Alkaloids were extracted in low quantities. The experimentally determined antioxidant potential of the extracts proved the highest DPPH scavenging activity of ethanolic extracts and the lowest of NADES1 extracts. The ABTS scavenging capacity of NADES1 and ethanolic extracts displayed comparable results, while NADES2 extracts were characterized as having the highest FRAP activity. NADES1 extracts manifested pronounced antibacterial activity, partially due to the low pH of the pure solvent, as well as inconsistent antifungal activity—from moderate to a complete lack of activity. A strong positive correlation was reported between the DPPH radical scavenging capacity and phenolic compound content. Future detailed investigations on the mechanism of the antimicrobial activity of NADES1 extracts are necessary to clarify the observed phenomenon of the decreased antifungal potential of NADES1 extracts compared to the pure solvent NADES1. Full article

Accurate counting of cucumber flowers using intelligent algorithms to monitor their sex ratio is essential for intelligent facility agriculture management. However, complex greenhouse environments impose higher demands on the precision and efficiency of counting algorithms. This study proposes a dual-area counting algorithm based on an improved YOLOv8n-Track (YOLOv8n-T) and ByteTrack cascaded framework. This method accomplishes the cucumber flower counting task by detecting flower targets, tracking them frame-by-frame, and validating the count through dual-area counting. The YOLOv8n-T incorporates a Coordinate Attention (CA) mechanism and lightweight modules while optimizing the loss function, thereby improving floral feature extraction capabilities and reducing computational complexity. By integrating the ByteTrack tracking algorithm with a dual-area counting strategy, the robustness of flower counting in dynamic environments is strengthened. Experimental results show that the improved YOLOv8n-T achieves mAP and F1 scores of 86.9% and 82.1%, surpassing YOLOv8n by 3% and 2.6%, respectively, with a 0.3 G reduction in model parameters. The integrated framework achieves a detection accuracy of 82.4% for cucumber flower counting. This research provides a new method for monitoring cucumber flower sex ratios in facility agriculture, promoting the development of intelligent agricultural management. Full article

This study aims to provide a comprehensive evaluation of the bioactive compounds present in honeysuckle flower (Lonicera japonica Thunb.) extract (HSF) and their remarkable antioxidant activity. A docking simulation was performed to clarify the binding affinities of the identified phytochemicals to enzymes associated with anti-aging and anti-inflammatory activities. In addition, the low-energy nanoemulsions based on optimally formulated polyglycerol fatty acid esters (PGFEs), developed through D-optimality, were designed for the incorporation of HSF extract. The result revealed that HSF is a rich source of diverse phenolic and flavonoid compounds that contribute to its remarkable antioxidant capacity. Molecular docking analysis indicates that its compounds exhibit anti-aging and anti-inflammatory activities, particularly through collagenase, hyaluronidase, and TNF-α inhibition. Furthermore, D-optimality revealed that HSF-loaded nanoemulsions can be fabricated by a surfactant to oil ratio (SOR) of 2:1 with a ratio of low hydrophilic-lipophilic balance (HLB) surfactant to high HLB surfactant (LHR) of 1:2. Polyglyceryl-6 laurate as a high HLB surfactant produced the optimal nanoemulsion with small particle size and possessed an encapsulation efficiency (EE) of 74.32 ± 0.19%. This is the first report to combine D-optimal design-based nanoemulsion development with a multi-level analysis of HSF, including phytochemical profiling, antioxidant evaluation, and in silico molecular docking. These findings highlight that HSF-loaded polyglycerol fatty acid ester-based nanoemulsions could be a skin health-promoting ingredient and effective alternative for a variety of skincare applications. Full article

The green-chemical preparation of silver nanoparticles (AgNPs) offers a sustainable and environmentally friendly alternative to conventional synthesis methods, thereby representing a paradigm shift in the field of nanotechnology. The biological synthesis process, which involves the synthesis, characterization, and management of materials, as well as their further development at the nanoscale, is the most economical, environmentally friendly, and rapid synthesis process compared to physical and chemical processes. Ligustrum ovalifolium flower extract was used for the preparation of AgNPs. The synthesized AgNPs were examined by using UV–visible spectroscopy, XRD, SEM, and TEM analysis. It indicates that AgNPs were formed in good size. AgNPs were applied as a catalyst for the degradation of pollutants, such as methyl orange, Congo red, and methylene blue, which were degraded within 8–16 min. Additionally, the reduction of para-nitrophenol (PNP) to para-aminophenol (PAP) was achieved within 2 min. This work demonstrates a practical, reproducible, and efficient method for synthesizing cost-effective and stable AgNPs, which serve as active catalysts for the rapid degradation of hazardous organic dyes in an aqueous environment. Full article