Search Results (198)

Background/Objectives: Aroma is a key determinant of crop quality and consumer acceptance, and aroma contribution and odor threshold are critical attributes for the identification of aroma compounds. Because the experimental determination of aroma contribution and odor thresholds is time-consuming and complex, most volatiles lack contribution and/or threshold data. Methods: We compiled odor thresholds for 716 volatile compounds and 31,459 aroma contribution records, and trained machine-learning models that took molecular fingerprints and physicochemical descriptors (e.g., molecular weight, logP, TPSA) as inputs to predict aroma contribution and odor threshold. We evaluated multiple fingerprint–model combinations, optimized hyperparameters via 5-fold cross-validation on the training set, and assessed the best models on a held-out validation set. Results: The ECFP6–GBDT combination performed best for predicting aroma contribution (macro-F1 = 0.732; weighted-F1 = 0.912). The ECFP4–GBDT model performed best for predicting odor thresholds (R² = 0.94; RMSE = 0.44). Applying the models to volatiles in passion fruit juice identified 2-phenylethyl acetate as a potential new contributor to passion fruit aroma, whereas menthyl acetate likely exerted a negative influence; both findings were confirmed by serial dilution and sensory evaluation. The developed models provided both a GUI and a CLI, were easy to use, and supported straightforward upgrades by retraining with user-provided data. Conclusions: This work provided a methodological foundation for identifying crop aroma compounds and supported the genetic improvement of aroma traits. Full article

Practices that mitigate the deleterious effects of water deficit are of great importance for agricultural production in the semi-arid region of Northeastern Brazil. The objective of this study was to evaluate the effect of foliar application of salicylic acid on mitigating water deficit in the morphophysiology and yield components of sour passion fruit during different phenological stages. Treatments were arranged in a randomized block design in a 6 × 2 factorial scheme, consisting of six irrigation strategies under water deficit, based on reference evapotranspiration (ETr) [irrigation with 100% ETr throughout the entire cultivation cycle—IS1; irrigation with 50% ETr during the vegetative stage—IS2; flowering—IS3; fruiting—IS4; vegetative/flowering—IS5; and vegetative/fruiting—IS6], combined with or without salicylic acid (SA) application (0 and 1 mM). The application of 1.0 mM salicylic acid alleviated the effects of water deficit during the flowering stage, improving gas exchange, photochemical efficiency, relative water content, growth, and yield of sour passion fruit. In addition, it contributed to reducing electrolyte leakage in the leaf blade. Therefore, foliar application of salicylic acid represents a promising strategy to maintain the integrity of the photosynthetic apparatus and the productive performance of sour passion fruit under water deficit conditions. Full article

Passion fruit (Passiflora edulis f. flavicarpa), commonly known as yellow passion fruit, is widely grown across tropical and subtropical regions worldwide, with Brazil as one of the top producers. Mexico also produces a significant amount of this variety, mainly for juices, jams, or flavoring in desserts. Since this fruit is highly perishable with a short shelf life, it needs to be consumed or used quickly. Although different preservation methods have been suggested, no structural analyses of the peel have been performed to improve these processes. This study aimed to analyze the structural and chemical properties of the peel’s cuticular matrix to better understand water loss. CPMAS ¹³C NMR analysis revealed a matrix containing polysaccharides, a small amount of aliphatics, and a notable group of aromatic signals that may indicate lignin presence. This was supported by alkaline hydrolysis, which achieved only 30% hydrolysis. Soluble compounds identified included hexoses, palmitic acid, stearic acid, and derivatives of ferulic and caffeic acids, the latter being parts of lignin monomers. MCL and SEM analyses showed features similar to cutans, including pores along the structures. The BET surface area measurement indicated that the insoluble cuticular material (ICM) has a significant specific surface area. The lignin in the yellow passion fruit peel gives the shell toughness, which, along with its pores, may contribute to dehydration and a short shelf life. Full article

Background: currently, there is a growing trend toward multifunctional cosmetics, which combine several active ingredients in a single product to enhance efficacy and user convenience. As ingredients may influence one another, it is important to study the behavior of mixing multiple compounds in complex formulations, especially regarding their interaction with the skin. Piceatannol, for instance, is a naturally occurring stilbene recognized for its in vitro potent antioxidant, anti-inflammatory, and anti-aging activities, making it a promising candidate for dermocosmetic use in suncare. But despite its beneficial biological activities, its cutaneous permeation remains poorly understood, particularly when delivered from complex formulations containing multiple ingredients. Objectives: in this sense, this study aimed to evaluate the in vitro skin diffusion profile of piceatannol from a passion fruit seed extract (P_ext) incorporated into a topical base (B_em) or an organic sunscreen emulsion (O_em), with or without a spilanthol-rich Acmella oleracea extract (J_ext) used as a natural permeation enhancer. Methods: due to ethical and variability issues with human and animal skins, the Strat-M™ synthetic membrane was chosen as a standardized model for the in vitro skin permeation assays. Piceatannol localization within membrane layers was examined by confocal Raman microscopy (CRM), while compound identification in donor and receptor compartments was performed via UHPLC-DAD. Results: piceatannol from B_em was detected up to 140 µm from the Strat-M™ surface and exceeded 180 µm in depth when J_ext and organic sunscreens were included in the formulation. Notably, formulations containing J_ext and those based on O_em promoted enhanced accumulation in both the stratum corneum and deeper skin layers, suggesting an improved delivery potential in lipid-rich vehicles. Conclusions: even though some instability issues were observed, piceatannol penetration into Strat-M™ from the proposed formulations was confirmed, and the results provide a foundation for further research on its topical delivery, supporting the rational development of formulations capable of harnessing its demonstrated biological properties. Full article

Passion fruit peel (PFP) is a common byproduct of industrial passion fruit processing, yet it serves as a valuable source of diverse bioactive compounds and nutrients. However, limited attention has been paid in the literature to the nutritional properties and practical applications of PFP. This review summarizes methods for extracting bioactive substances from PFP, examines their potential health benefits, and explores their prospects for utilization in the food industry. Recent studies have quantified various bioactive components, such as flavonoids, vitamins, and dietary fiber (DF), while reporting the corresponding extraction yields or concentrations. Furthermore, these compounds exhibit significant potential in promoting human health, including antioxidant, anti-inflammatory, and gut health-improving effects. The analysis also highlights the bioavailability of bioactive constituents in PFP. Consequently, PFP presents a promising yet underexplored area for scientific research, though substantial challenges remain in optimizing its utilization, enhancing extraction efficiency, and advancing innovative applications. Full article

Tetranychus mexicanus (McGregor, 1950) (Tetranychidae) is considered one of the primary phytosanitary problems in passion fruit crops, resulting in significant production losses. Understanding the impact of this mite species’ activity on the physiology of passion fruit plants can serve as a basis for developing sustainable management strategies. With this in mind, this research sought to analyze, using supervised and unsupervised machine learning models, how T. mexicanus mite infestation influences gas exchange, chlorophyll “a” and chlorophyll “b” levels, fluorescence, and thermal response of passion fruit plants. We tested the hypothesis that juvenile and adult mites alter the physiological and thermal response patterns of plants. Only the variables related to the fluorescent response (Fo, Fm, and Fv) had a significant relationship with mite infestation. In the joint comparison of multiple fluorescent variables, there were differences between the treatments of plants infested and not infested by T. mexicanus. The variables’ initial fluorescence (Fo), maximum fluorescence (Fm), and variable fluorescence (Fv) of chlorophyll a had a direct negative impact on both reproductive activity, as measured by the number of eggs and nymphs produced, and the total number of mites found. The unsupervised model based on multidimensional scaling with the k-means algorithm revealed a clear separation between the groups of infested passion fruit plants (Group 1) and healthy plants (Group 2). The Fo response was described with high accuracy for the reproductive rate (75%) and total infestation of eggs, nymphs, and adults of the mites (99.99%). Kappa values were moderate (Kappa = 0.50) and high (Kappa = 0.99) for reproductive and total rates of T. mexicanus, respectively. Additionally, the thermal response revealed that the infested passion fruit plants had a median temperature of 25.1 °C, compared to a median temperature of 25.7 °C, with notable differences between these medians. Therefore, the T. mexicanus mite altered both the fluorescent and thermal patterns of passion fruit plants. Our findings have implications for the development of early detection tools and the generation of future resistance breeding. Full article

B-cell lymphoma 2 (Bcl-2)-associated athanogene (BAG) family proteins are co-chaperones that regulate growth, development, and cell death and are evolutionarily conserved across eukaryotes. The BAG gene family has attracted intense interest in human health research, but its plant counterparts have received little attention. In this study, we conducted a genome-wide scan of the BAG family in passion fruit, a crop of great economic importance. Fifteen PeBAG genes were identified, with all but PeBAG5 having multiple copies. PeBAG members, each characterized by a BAG domain, were categorized into two groups: Group 1 (PeBAG1/2/3/4) with extra ubiquitin domains, and Group 2 (PeBAG5/6-1/6-2) with additional plant-specific calmodulin-binding domains. The transcriptome data suggest that PeBAGs exhibit high gene expression in stems, flowers, and fruit, while PeBAG4-3 and 6-1 upregulated under hormonal and abiotic stresses. qRT-PCR further confirmed the heat stress activation of PeBAG4-3 and 6-1. Subcellular localization in planta revealed varied compartmentalization, with members in the nucleus, cytoplasm, and plastids demonstrating functional divergence. This study provides a guide for investigating and employing PeBAG genes to improve heat resistance in passion fruit. Full article

The yellow passion fruit is a key crop in irrigated areas of Northeast Brazil, but production is challenged by limited water availability and high salinity in groundwater used for irrigation. This study evaluated the effects of grafting Passiflora edulis f. flavicarpa Degener (E) onto P. foetida L. (F) rootstock to reduce the impact of saline stress. Conducted in a greenhouse using a 3 × 2 factorial design with four replications, the experiment tested three grafting combinations (F + F, E + E and E + F) under two salinity levels (0.5 and 6.0 dS m⁻¹). Key parameters measured included SPAD index, soluble protein content, hydrogen peroxide (H₂O₂) levels, catalase enzyme activity, plant height, and leaf number. Salinity significantly reduced plant height, especially at 6.0 dS m⁻¹. The E + E combination had the highest protein content in roots (23.8%). However, grafting P. edulis onto P. foetida (E + F) enhanced catalase activity and reduced H₂O₂ accumulation, indicating improved tolerance to salt stress. The findings suggest that using P. foetida as a rootstock may help mitigate oxidative damage and promote better physiological performance of yellow passion fruit under saline conditions, offering a strategy to sustain cultivation in stress-prone environments. Full article

Glycine betaine (GB) is a compatible solute that enhances plant tolerance to abiotic stresses, yet its role in fruit crops remains insufficiently explored. This study assessed whether GB improves drought tolerance in Passiflora edulis Sims f. flavicarpa, a crop sensitive to irregular rainfall. A 3 × 2 × 2 factorial design was employed, combining three drought levels (control, mild, and severe), two propagation methods (seedlings and cuttings), and two GB treatments (0 and 100 mM), with 60 plants and five replicates. Plants were grown under controlled conditions, and irrigation was adjusted to maintain target field capacities. Chlorophyll content was monitored daily, and agronomic and physiological traits were measured after 45 days. GB application influenced leaf water dynamics and stress responses. Cuttings generally showed clearer improvements in drought tolerance when treated with GB, while seedlings exhibited more variable outcomes. These differences appear linked to the propagation method and developmental stage as cuttings were at a more advanced phase, whereas seedlings remained vegetative. Overall, the results demonstrate that exogenous GB can enhance drought tolerance in passion fruit, although its effectiveness is propagation-dependent and context-specific, highlighting the need to tailor its application to cultivation practices. Full article

Basal stem rot caused by Fusarium solani is among the most destructive soil-borne diseases affecting passion fruit (Passiflora spp.). While biological control employing antagonistic microorganisms offers a promising plant protection strategy, reports on antagonists specifically targeting passion fruit basal stem rot remain limited. Here, a screen for F. solani antagonists led to the identification of Bacillus velezensis strain L11-7, whose whole genome was subsequently sequenced. Pot experiments demonstrated that strain L11-7 significantly reduced the severity of stem basal rot, achieving control efficiencies of 92.85%, and exhibited broad antagonistic properties against other plant pathogenic fungi. L11-7 possesses cellulase, glucanase, and protease activities, alongside capabilities for nitrogen and phosphorus production. L11-7 was identified as B. velezensis through morphological analysis, 16S rRNA, gyrB, and rpoB gene sequencing, and whole-genome analysis. Its genome features a single circular 3.97 Mb chromosome harboring 13 s metabolite biosynthetic gene clusters (e.g., fengycin, surfactin, macrolactin H, bacillaene, difficidin) and genes encoding essential cell wall hydrolases. Several genes related to plant growth promotion, including those involved in nitrogen fixation and IAA production, are also present. These results indicate that B. velezensis L11-7 is a prospective biocontrol agent against passion fruit basal stem rot and has plant growth-promoting properties. Full article

The study investigated the effect of adding citrus fruits on the dynamics of reducing sugars during the fermentation of Criollo cocoa beans from Lagunas and Casual (Amazonas, Peru). Both spontaneous fermentations and fermentations supplemented with orange, passion fruit, or pineapple at concentrations of 5% and 10% were conducted over six days in wooden boxes, with samples collected every 24 h. Sucrose, glucose, and fructose contents were quantified using ultra-high-performance liquid chromatography coupled with a refractive index detector (UHPLC-RID), and the data were analyzed via ANOVA and PCA. In samples from Lagunas, initial sucrose levels (69.22 mg/g) decreased sharply during the first two days, whereas in the fermented mass from Casual, the sucrose concentrations were low from the outset (6.3 mg/g). The addition of citrus fruits promoted higher accumulation of glucose and fructose in the intermediate and final stages, reaching maximum concentrations of 76.24 mg/g and 81.06 mg/g, respectively, on day six in Lagunas with 10% fruit supplementation. Multivariate analysis indicated that fruit-treated fermentations exhibited a more active and distinct fermentation profile compared to spontaneous fermentations. These results demonstrate that the controlled addition of citrus fruits represents an innovative, low-cost biotechnological strategy for optimizing cocoa fermentation and may enhance the development of flavor and aroma precursors. Full article

This study determined the feasibility of using zinc oxide nanoparticles of various origins as an active compound for biopolymer packaging films. The study focused on the effects of green synthesis using passion fruit or tomato extracts and commercial zinc oxide nanoparticles on the physicochemical properties of pectin films, including thickness, microstructure, water content, optical properties, water vapour permeability, water contact angle, sorption properties, and thermal stability. Zinc oxide nanoparticles resulted in lower lightness, higher absorbance, especially in the UV light range, and increased transparency, from 1.55 to 2.18 a.u./mm. Films containing zinc oxide nanoparticles showed reduced water vapour adsorption but increased water vapour permeability, from 6.35 to 12.07 × 10⁻¹⁰ g/m·s·Pa. The initial water contact angles were in a similar range, from 57.3° to 59.2°, but a decrease in contact angle values was observed over 60 s. All films containing nanoparticles exhibited better thermal stability, particularly during the third stage of degradation above 200 °C. Developed composite active films, prepared from apple pectin and zinc oxide nanoparticles of different origins, showed their potential for practical use as UV-VIS light barrier packaging films or protective coatings for food applications. Full article

Passion fruit (Passiflora edulis) is an economically important fruit worldwide. However, heat stress severely threatens its production, particularly in tropical and subtropical regions. To elucidate the molecular and metabolic mechanisms underlying heat tolerance, comparative physiological, transcriptomic, and metabolomic analyses were conducted between two yellow passion fruit cultivars: heat-tolerant ‘Summer Queen’ (F2) and heat-sensitive ‘Qinmi 9’ (QM9). Physiological evaluations demonstrated that QM9 exhibited significantly lower heat tolerance than F2, manifesting as severe leaf wilting, impaired photosynthetic efficiency, and elevated reactive oxygen species (ROS) accumulation. F2 exhibited distinct metabolic and transcriptional adaptations under heat stress, particularly in purine metabolism and flavonoid biosynthesis. Metabolites such as glutamine, xanthine, luteoloside, and trifolin were enriched in F2, alongside the upregulation of genes like adenosine kinase (AK), xanthine dehydrogenase (XDH), guanine deaminase (GDA), and flavonoid 3′-hydroxylase (F3′H). Weighted gene co-expression network analysis (WGCNA) highlighted strong associations between these pathways and transcription factors (e.g., MYB, HSF, WRKY), suggesting their pivotal roles in heat adaptation. Exogenous application of xanthine and trifolin markedly enhanced heat tolerance in passion fruit. Furthermore, knockdown of PeGDA and PeXDH markedly altered the heat tolerance of F2. These findings reveal that elevated metabolites in purine metabolism and flavonoid biosynthesis enhance heat tolerance in passion fruit, offering new insights into the molecular mechanisms of heat tolerance and potential targets for breeding climate-resilient passion fruit varieties. Full article

This study evaluated the antioxidant and antibacterial potential of Passiflora edulis (passion fruit) at three ripening stages—intermediate, ripe, and overripe—to determine the optimal consumption time based on the presence of secondary metabolites (polyphenols, alkaloids, and anthocyanins). Fruits from Costa Rica, including pulp and peel, were analyzed. Qualitative assays (Dragendorff, Mayer, Lieberman Burchard, Ferric Chloride, and Shinoda) and quantitative analyses using Folin–Ciocalteu (total polyphenols), ORAC (antioxidant activity), and Kirby–Bauer (antibacterial activity) methods were conducted. Acetone–water (7:3) was the most effective solvent, with three extractions yielding optimal results. Peels contained significantly higher polyphenols (7.2 ± 0.1 mg GAE/g d.w.) and antioxidant activity (2403 ± 519 µmol TE/g d.w.) than pulps. Anthocyanins were abundant in both, while antibacterial activity was more effective in peels, inhibiting Gram-positive bacteria with 25% relative inhibition, but showing no activity against Gram-negative strains. These findings highlight passion fruit peel as a rich source of bioactive compounds with strong antioxidant and antibacterial properties, particularly in intermediate and overripe stages, supporting its potential use in the development of functional ingredients for nutraceutical applications and promoting sustainable waste management. Full article

This article utilized hourly temperature, humidity, pressure and wind speed data from passion fruit meteorological observation stations in three southwestern cities of Fujian Province (Longyan, Sanming, Zhangzhou) from 2020 to 2022, as well as national ground conventional meteorological observation stations. BP neural network and stepwise regression method were applied to construct temperature prediction models for the passion fruit planting bases. The results showed that: (1) The simulation effect of the passion fruit station temperature prediction model based on BP neural network (referred to as BP model) was better than that of the model based on stepwise regression method (referred to as regression model). The average absolute error (MSE) of BP model (2.75–3.42 °C) was smaller than that of regression model (3.32–3.94 °C). (2) For the simulation results of daily temperature changes in the passion fruit station, the difference in hourly average temperature between the BP model predictions (regression model predictions) and observed temperatures at passion fruit station was −4.1–4.4 °C (−6.0–10.2 °C). The BP model showed a daily temperature trend that was closer to the measured values; (3) For the simulation results of high and low temperatures in the passion fruit station, the BP neural network model (regression model) showed a prediction error range of −5.6 °C to 5.2 °C compared to observed temperatures, while the stepwise regression model’s error range was −4.1 °C to 8.8 °C. The BP model’s predicted temperature trend was closer to the measured values. (4) Both models have significant shortcomings in the prediction of high-temperature individual cases and hourly averages, with relatively large errors (generally exceeding 3 °C), especially during the period from 10 to 16 o’clock. The future version needs to be optimized. Full article