Search Results (280)

This study investigates the self-assembly and host–guest complexation behaviour of novel resveratrol-based lipophenols (LipoResv)—resveratrol-4′-linoleate (Resv-4′-LA) and resveratrol-4′-docosahexaenoate (Resv-4′-DHA)—with hydroxypropyl-β-cyclodextrins (HP-β-CDs). These amphiphilic molecules display surfactant-like properties, forming micellar aggregates in aqueous media. Fluorescence spectroscopy was used to determine the critical micelle concentration (CMC), revealing that LipoResv exhibit significantly lower CMC values than their free fatty acids, indicating higher hydrophobicity. The formation of inclusion complexes with HP-β-CDs was evaluated based on changes in CMC values and further confirmed by dynamic light scattering (DLS) and molecular modelling analyses. Resv-4′-LA formed 1:1 complexes (Kc = 720 M⁻¹), while Resv-4′-DHA demonstrated a 1:2 stoichiometry with lower affinity constants (K₁ = 17 M⁻¹, K₂ = 0.18 M⁻¹). Environmental parameters (pH, temperature, and ionic strength) significantly modulated CMC and binding constants. Computational docking and molecular dynamics simulations supported the experimental findings by revealing the key structural determinants of the host–guest affinity and micelle stabilization. Ligand efficiency (LE) analysis further aligned with the experimental data, favouring the unmodified fatty acids. These results highlight the versatile encapsulation capacity of HP-β-CDs for bioactive amphiphile molecules and support their potential applications in drug delivery and functional food systems. Full article

To enhance the performance of online food delivery (OFD) services, it is essential to strengthen consumers’ intentions to use OFD apps, which are the core interface of this business. Accordingly, this study aims to identify the cognitive mechanisms that shape consumers’ intentions to use OFD apps and explore strategies to encourage their adoption. To achieve this, the study develops a research model that incorporates segmented dimensions of service convenience as key motivational factors, along with variables from the Technology Acceptance Model (TAM). A survey was conducted among OFD consumers in China, and the proposed research model was empirically tested using data from 478 valid responses. The analysis revealed that all six dimensions of service convenience serve as significant motivational drivers of OFD app usage. Furthermore, the study demonstrates that consumers’ coupon proneness and user-generated online reviews have significant moderating effects that reinforce the mechanism by which consumers adopt and use OFD apps. The findings and implications discussed in this study are expected to provide valuable insights and practical guidance for formulating effective strategies to promote more active consumer engagement with OFD apps in the future. Full article

Background: Fatty acid status during the perinatal period is important for optimal offspring growth and development. Objectives: We aimed to test the association between maternal fatty acid (FA) intake during the third trimester of pregnancy and the FA composition of placental phospholipids, a marker of maternal fatty acid status. Methods: This cohort study was performed on 54 mothers participating in the PREOBE study. Maternal dietary intake was assessed with prospective 7-day food diaries at 34 weeks of gestation. Placenta samples were collected immediately after delivery and phospholipid FA was quantified with established methods. Data were analyzed with Pearson correlations and linear regression models, with adjustment for confounding factors. Results: Total energy intake was 2019 ± 527 kcal/d (mean ± SD) and total fat intake of the mothers was 87 ± 35 g/day. Myristic, stearic, oleic, and α-linolenic acid intakes were modestly correlated with placental percentages, with r-values ≤ 0.33. Only docosahexaenoic (DHA) acid intake (%-energy, %-fat, and g/d) showed r-values > 0.4 for the correlation with placenta phospholipids. Intake of other fatty acids, including arachidonic acid, was not associated with the placenta percentage. Linear regression models considering confounders showed only dietary DHA intake significant associations. Total fat intake did not interfere with the association of DHA intake with placental incorporation. Conclusions: DHA and arachidonic acid are enriched in the placenta, but only placental DHA content seems modifiable by maternal dietary DHA intake. Full article

Background: Children with food allergies can present with paediatric feeding disorder (PFD). However, access to coordinated multidisciplinary services to support these children in Australia is inconsistent. To date, the availability of services or the perceived care needs of Australian health professionals working with this population have not been formally explored. Methods: A web-based survey was distributed to health professionals in Australia. Quantitative demographic data were summarised using descriptive statistics, and open-ended responses were analysed using content analysis. Results: The final sample comprised 98 responses, with speech pathologists representing the largest professional group (n = 39; 40%). A majority (59%) worked in hospital-based services. Open-ended responses were coded utilising content analysis. Three categories were developed including (1) service delivery, (2) intervention, and (3) resources. Services were commonly impacted by long wait times, limited staff training, and inconsistencies between hospital and community care. Additionally, mental health support was frequently reported as insufficient. Conclusions: The findings from this study underscore the need for integrated services for children with food allergies and paediatric feeding disorder. Recommended areas for future research include exploring caregiver perspectives and the impact of food allergies and paediatric feeding disorder, and consideration of co-designed studies to inform service improvement initiatives. Full article

Nutrition education, framed within Supplemental Nutrition Assistance Program Education (SNAP-Ed) guidance, was provided to SNAP-eligible shoppers at community supported agriculture (CSA) sites in Michigan where SNAP nutrition incentives were accepted. An evaluation was conducted on data sources from sites where the CSA Food Navigator program was implemented to assess the delivery of nutrition education, understand the needs and experiences of SNAP-eligible shoppers, and measure behavioral outcomes. A multi-phase, mixed-methods design incorporated (1) outcome surveys with SNAP-eligible shoppers at participating CSA sites; (2) open-ended feedback surveys from CSA site staff; (3) nutrition educator activity logs; (4) a semi-structured nutrition educator focus group; and (5) semi-structured focus groups with SNAP-eligible shoppers. In phase one, descriptive analysis was completed on the quantitative data and constant comparative analysis was completed on the qualitative data. In phase two, these data were collated into case reports for respective CSA sites; then, a cross-case analysis was performed. In phase three, statistical tests were performed on SNAP-eligible shoppers’ survey data to assess outcomes against a nationally representative sample of nutrition incentive program participants. Results indicate significantly higher fruit and vegetable consumption among shoppers relative to SNAP incentive participants nationally. Key qualitative themes were (1) relating over transacting: investing in multi-level relationships, (2) personalizing engagement and experiential nutrition education, (3) activating social–ecological spheres to promote changes in access, and (4) enhancing education support and resources for accessibility. The findings have practical implications to enhance the delivery and impact of CSA-based nutrition education. Full article

This study shows a comprehensive simulation to assess and enhance the throughput capacity of unmanned air system vertiports, one of the most essential elements of urban air mobility ecosystems. The framework integrates dynamic grid-based spatial management, probabilistic mission duration algorithms, and EASA-compliant operational protocols to address the infrastructural and logistical demands of high-density UAS operations. It was focused on two use cases—high-frequency food delivery utilizing small UASs and extended-range package logistics with larger UASs—and the model incorporates adaptive vertiport zoning strategies, segregating operations into dedicated sectors for battery charging, swapping, and cargo handling to enable parallel processing and mitigate congestion. The simulation evaluates critical variables such as vertiport dimensions, UAS fleet composition, and mission duration ranges while emphasizing scalability, safety, and compliance with evolving regulatory standards. By examining the interplay between infrastructure design, operational workflows, and resource allocation, the research provides a versatile tool for urban planners and policymakers to optimize vertiport layouts and traffic management protocols. Its modular architecture supports future extensions. This work underscores the necessity of adaptive, data-driven planning to harmonize vertiport functionality with the dynamic demands of urban air mobility, ensuring interoperability, safety, and long-term scalability. Full article

Ferulic acid (FA), a hydroxycinnamic acid derivative, is a key bioactive component in traditional medicinal plants including Angelica sinensis and Asafoetida. Accumulating evidence supports its therapeutic efficacy in inflammatory disorders, such as rheumatoid arthritis (RA) and ulcerative colitis (UC). FA exerts anti-inflammatory effects through (1) the regulation of inflammatory cytokine levels; (2) modulation of signaling pathways such as nuclear factor kappa B (NF-κB), mitogen-activated protein kinase (MAPK), and janus kinase/signal transducer and activator of transcription (JAK/STAT); (3) amelioration of oxidative stress; and (4) regulation of immune cell homeostasis. At the pharmacokinetic level, studies show that FA is rapidly absorbed but exhibits low bioavailability, mainly due to the influence of metabolic pathways and food matrix characteristics. This review systematically summarizes the literature on the anti-inflammatory effects of FA, covering molecular mechanisms, pharmacokinetic characteristics, and application scenarios. Preclinical studies show that FA has low toxicity and good safety, demonstrating potential for development as a novel anti-inflammatory drug. However, its clinical translation is hindered by bottlenecks such as low bioavailability and insufficient human clinical data. Future research should prioritize developing novel drug delivery systems and conducting large-scale clinical trials to facilitate its clinical translation. Full article

With the rapid development of the Internet, businesses in the traditional catering industry are increasingly shifting toward the Online-to-Offline mode, as on-demand food delivery platforms continue to grow rapidly. Within these takeout systems, riders have a role throughout the order fulfillment process. Their behaviors involve multiple key time points, and accurately predicting these critical moments in advance is essential for enhancing both user retention and operational efficiency on such platforms. This paper first proposes a time chain simulation method, which simulates the order fulfillment in segments with an incremental process by combining dynamic and static information in the data. Subsequently, a GRU-Transformer architecture is presented, which is based on the Transformer incorporating the advantages of the Gated Recurrent Unit, thus working in concert with the time chain simulation and enabling efficient parallel prediction before order creation. Extensive experiments conducted on a real-world takeout food order dataset demonstrate that the Mean Squared Error of the prediction results of GRU-Transformer with time chain simulation is reduced by about 9.78% compared to the Transformer. Finally, according to the temporal inconsistency analysis, it can be seen that GRU-Transformer with time chain simulation still has a stable performance during peak periods, which is valuable for the intelligent takeout system. Full article

In food science, the application of bioactive compounds is promising, but the deficiencies in their solubility, stability, and bioavailability seriously limit their efficacy. Co-delivery can control the release of bioactive substances and achieve synergistic effects to enhance efficacy. For this reason, co-delivery systems have emerged as a novel strategy that has attracted much attention from researchers in recent years. This review provides an in-depth analysis of the unique properties of different bioactive ingredients and systematically describes the latest research progress of co-encapsulation systems such as emulsions, nanoparticles, and liposomes. It also introduces their advanced characterization tools. Meanwhile, the kinetic law of the release of bioactive ingredients in vivo and its molecular mechanism are discussed in depth through experimental data and theoretical analysis. In addition, the potential application value of the co-encapsulation system in the food industry is also introduced in detail. In summary, this study not only provides a solid theoretical foundation and rich reference basis for further research in the field of co-encapsulation, but also provides new ideas and directions to promote the construction and development of rational and efficient co-encapsulation systems, and to promote the innovation and development of functional foods and precision nutrition. Full article

Antioxidant peptides derived from woody oil resource by-products exhibit strong free radical scavenging abilities and offer potential applications in functional foods, nutraceuticals, and cosmetics. This review summarizes the latest advances in preparation technologies, including enzymatic hydrolysis, microbial fermentation, chemical synthesis, recombinant expression, and molecular imprinting, each with distinct advantages in yield, selectivity, and scalability. The structure–activity relationships of antioxidant peptides are explored with respect to amino acid composition, molecular weight, and 3D conformation, which collectively determine their bioactivity and stability. Additionally, emerging delivery systems—such as nanoliposomes, microencapsulation, and cell-penetrating peptides—are discussed for their role in enhancing peptide stability, absorption, and targeted release. Mechanistic studies reveal that antioxidant peptides from woody oil resources act through network pharmacology, engaging core signaling pathways, including Nrf2/ARE, PI3K/Akt, AMPK, and JAK/STAT, to regulate oxidative stress, mitochondrial health, and inflammation. Preliminary safety data from in vitro, animal, and early clinical studies suggest low toxicity and favorable tolerability. The integration of omics technologies, molecular docking, and bioinformatics is accelerating the mechanism-driven design and functional validation of peptides. In conclusion, antioxidant peptides derived from woody oil resources represent a sustainable, multifunctional, and scalable solution for improving human health and promoting a circular bioeconomy. Future research should focus on structural optimization, delivery enhancement, and clinical validation to facilitate their industrial translation. Full article

The expanding field of nutraceuticals and functional food science is increasingly turning to marine-derived bioactive compounds, particularly saponins, for their diverse pharmacological properties. These so-called thalassochemicals display distinctive structural features—such as sulfated glycosidic moieties and amphiphilic backbones—that underpin potent antitumor, hypolipidemic, antioxidant, and antimicrobial activities. In contrast to their terrestrial analogs, marine saponins remain underexplored, and their complexity poses analytical and functional challenges. This review provides a critical and integrative synthesis of recent advances in the structural elucidation, biological function, and technological application of marine saponins. Special emphasis is placed on the unresolved limitations in their isolation, characterization, and structural validation, including coelution of isomers, adduct formation in MS spectra, and lack of orthogonal techniques such as NMR or FTIR. We illustrate these limitations through original MS/MS data and propose experimental workflows to improve compound purity and identification fidelity. In addition to discussing known structure–activity relationships (SARs) and mechanisms of action, we extend the scope by integrating recent developments in computational modeling, including machine learning, molecular descriptors, and quantitative structure–activity relationship (QSAR) models. These tools offer new avenues for predicting saponin bioactivity, despite current limitations in available high-quality datasets. Furthermore, we include a classification and comparison of steroidal and triterpenoid saponins from marine versus terrestrial sources, complemented by detailed chemical schematics. We also address the impact of processing techniques, delivery systems, and bioavailability enhancements using encapsulation and nanocarriers. Finally, this review contextualizes these findings within the regulatory and sustainability frameworks that shape the future of saponin commercialization. By bridging analytical chemistry, computational biology, and food technology, this work establishes a roadmap for the targeted development of marine saponins as next-generation nutraceuticals and functional food ingredients. Full article

Rapid urbanization, climate variability, and land degradation are increasingly challenging traditional open-field farming systems. Soilless farming (SLF) has emerged as a complementary approach to enhance horticultural resilience in space-constrained and climate-stressed environments. This review critically evaluates the role of SLF within the broader framework of climate-smart agriculture (C-SA), with a particular focus on its applications in urban and peri-urban settings. Drawing on a systematic review of the existing literature, the study explores how SLF technologies contribute to efficient resource use, localized food production, and environmental sustainability. By decoupling crop cultivation from soil, SLF enables precise control over nutrient delivery and water use in enclosed environments, such as vertical farms, greenhouses, and container-based units. These systems offer notable advantages regarding water conservation, increased yield per unit area, and adaptability to non-arable or degraded land, making them particularly relevant for high-density cities, arid zones, and climate-sensitive regions. SLF systems are categorized into substrate-based (e.g., coco peat and rock wool) and water-based systems (e.g., hydroponics, aquaponics, and aeroponics), each with distinct design requirements, nutrient management strategies, and crop compatibility. Emerging technologies—including artificial intelligence, the Internet of Things, and automation—further enhance SLF system efficiency through real-time data monitoring and precision control. Despite these advancements, challenges remain. High setup costs, energy demands, and the need for technical expertise continue to limit large-scale adoption. While SLF is not a replacement for traditional agriculture, it offers a strategic supplement to bolster localized food systems and address climate-related risks in horticultural production. Urban horticulture is no longer a peripheral activity; it is becoming an integral element of sustainable urban development. SLF should be embedded within broader resilience strategies, tailored to specific socioeconomic and environmental contexts. Full article

Background: In many African areas, herbal products still represent a significant source of healthcare. However, a major gender bias is evident in the literature, as most of the work is carried out by male researchers, collecting data from male traditional practitioners, and thus often neglecting women’s specific health issues. This warrants a detailed review of the current knowledge about the major medicinal plants historically and still used for women’s health. Objective: This study aims to compile and critically analyze published data on the use of traditional herbal remedies by African women in addressing specific health conditions, in order to evaluate the potential of traditional medicine as a viable alternative or complementary approach to modern healthcare for women globally. Methods: Data were retrieved from databases by combining the following relevant keywords: “abortion, adverse, Africa, attendant, birth, botanical, delivery, developing, drug, ethnomedicine, ethnopharmacology, folk, gynecological, healing, infertility, herb, indigenous, lactation, medicine, native, obstetric, phytomedicine, plant, pregnancy, remedy, side, sub-Saharan, traditional, treatment, women”. Results: More than 125 studies, carried out across 12 African nations, revealed that up to 80% of African women resort to herbal medicines. An estimated 200 medicinally important plant species are reported to be utilized by women in different African countries, including Benin, Cameroon, Côte d’Ivoire, Egypt, Ethiopia, Ghana, Kenya, Mali, Nigeria, South Africa, Tanzania, and Zimbabwe. These herbs have many applications, mostly focused on infertility, pregnancy, painful menstruation, breast feeding, breast cancer, and contraception. Interestingly, according to their occurrence of usage, the plants most commonly reported for these conditions that are important to women are ambivalent plants (i.e., used both as foods and medicines) that include Zingiber officinale Roscoe, Allium sativum L., Cucurbita pepo L., and Ricinus communis L. Conclusions: Even though most women, in most African countries, do use traditional medicine, the amount of work published remains quite limited and no data are available in many countries. Therefore, it is desirable to expand African studies in this direction. Full article

Amid global economic transformation, a persistent productivity gap exists between developed and developing nations in agriculture sector, shaped by technological advancements and shifting resource allocation patterns. Agricultural socialized services (ASS), defined as organized systems providing technical support, mechanization assistance, information services, market linkages, and resource optimization to farmers, have emerged as critical mechanisms for agricultural development. In developing economies, these services catalyze gains in agricultural labor productivity through the integration of advanced technologies and the mechanization of farming practices. Using panel data from 30 Chinese provinces during 2011 to 2022, this study investigates the relationship between ASS and ALP, focusing on regional heterogeneity, threshold effects, and spatial spillovers. The combination of spatial econometric methods and threshold analysis was selected for its unique capacity to capture both the geographic interdependencies and nonlinear relationships that characterize agricultural development processes. These thresholds at 5.254 and 8.478 represent critical points where the impact of ASS on ALP significantly changes in magnitude, revealing a nonlinear relationship that evolves across different stages of agricultural development. The study highlights notable regional disparities in the impact of ASS. Specifically, ASS is more effective on ALP in eastern, central and key food-producing regions, while its impact is relatively weak in western and non-food-producing regions. Spatial spillover analysis indicates that advancements in ASS create positive externalities, extending beyond their immediate implementation zones and facilitating inter-provincial agricultural cooperation and development. These findings provide crucial guidance for policymakers and agricultural service providers to optimize resource allocation and service delivery strategies. By identifying critical development thresholds and regional variations, this research offers evidence-based support for government officials designing targeted agricultural policies and enterprises developing region-specific service models to foster sustainable agricultural growth across diverse regional landscapes. Full article

The rapid expansion of digital platforms has significantly influenced consumer purchasing behaviors, particularly in the agri-food sector. Therefore, this paper investigates the key factors driving customers’ intention to use green agri-food delivery apps (GAFDAs) by integrating trust and electronic word of mouth (eWOM) into the Theory of Planned Behavior (TPB) framework. Additionally, this study examines gender as a moderating variable, assessing whether its influence alters the relationships between key determinants and behavioral intention. Data were collected from 252 Algerian consumers, and the proposed model was tested using SmartPLS 4 and SPSS 26.0. The results confirm that attitude, subjective norms, perceived behavioral control (PBC), trust, and eWOM positively and significantly influence the intention to use GAFDAs, with PBC emerging as the strongest predictor. Moreover, gender moderates the effect of trust on behavioral intention, with trust significantly influencing men’s adoption decisions but not those of females. In contrast, subjective norms and PBC are stronger predictors for female consumers. These findings highlight the importance of gender-specific marketing strategies to enhance GAFDA adoption. This study contributes to the literature by extending TPB with trust, eWOM, and gender moderation, offering valuable insights for marketers, policymakers, and app developers promoting sustainable food consumption. Full article