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Ruminant livestock production plays a crucial role in the agricultural systems of Sub-Saharan Africa, significantly supporting rural livelihoods through income generation, improved nutrition, and employment opportunities. Despite its importance, the sector continues to face substantial challenges, such as low feed quality, seasonal feed shortages, and climate-related stresses, all of which limit productivity and sustainability. Considering these challenges, the adoption of natural feed additives has emerged as a promising strategy to enhance animal performance, optimise nutrient utilisation, and mitigate environmental impacts, including the reduction of enteric methane emissions. This review underscores the significant potential of natural feed additives such as plant extracts, essential oils, probiotics, and mineral-based supplements such as fossil shell flour as sustainable alternatives to conventional growth promoters in ruminant production systems across the region. All available documented evidence on the topic from 2000 to 2024 was collated and synthesised through standardised methods of systematic review protocol—PRISMA. Out of 319 research papers downloaded, six were included and analysed directly or indirectly in this study. The results show that the addition of feed additives to ruminant diets in all the studies reviewed significantly (p < 0.05) improved growth parameters such as average daily growth (ADG), feed intake, and feed conversion ratio (FCR) compared to the control group. However, no significant (p > 0.05) effect was found on cold carcass weight (CCW), meat percentage, fat percentage, bone percentage, or intramuscular fat (IMF%) compared to the control. The available evidence indicates that these additives can provide tangible benefits, including improved growth performance, better feed efficiency, enhanced immune responses, and superior meat quality, while also supporting environmental sustainability by reducing nitrogen excretion and decreasing dependence on antimicrobial agents. Full article

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37 pages, 910 KiB

Open AccessReview

Invasive Candidiasis in Contexts of Armed Conflict, High Violence, and Forced Displacement in Latin America and the Caribbean (2005–2025)

by Pilar Rivas-Pinedo, Juan Camilo Motta and Jose Millan Onate Gutierrez

J. Fungi 2025, 11(8), 583; https://doi.org/10.3390/jof11080583 (registering DOI) - 6 Aug 2025

Abstract

Invasive candidiasis (IC), characterized by the most common clinical manifestation of candidemia, is a fungal infection with a high mortality rate and a significant impact on global public health. It is estimated that each year there are between 227,000 and 250,000 hospitalizations related to IC, with more than 100,000 associated deaths. In Latin America and the Caribbean (LA&C), the absence of a standardized surveillance system has led to multicenter studies documenting incidences ranging from 0.74 to 6.0 cases per 1000 hospital admissions, equivalent to 50,000–60,000 hospitalizations annually, with mortality rates of up to 60% in certain high-risk groups. Armed conflicts and structural violence in LA&C cause forced displacement, the collapse of health systems, and poor living conditions—such as overcrowding, malnutrition, and lack of sanitation—which increase vulnerability to opportunistic infections, such as IC. Insufficient specialized laboratories, diagnostic technology, and trained personnel impede pathogen identification and delay timely initiation of antifungal therapy. Furthermore, the empirical use of broad-spectrum antibiotics and the limited availability of echinocandins and lipid formulations of amphotericin B have promoted the emergence of resistant non-albicans strains, such as Candida tropicalis, Candida parapsilosis, and, in recent outbreaks, Candidozyma auris. Full article

(This article belongs to the Special Issue Candidiasis: Changes and Challenges in Its Epidemiology, Pathogenesis, Diagnosis, Treatment and Prevention)

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50 pages, 6488 KiB

Open AccessArticle

A Bio-Inspired Adaptive Probability IVYPSO Algorithm with Adaptive Strategy for Backpropagation Neural Network Optimization in Predicting High-Performance Concrete Strength

by Kaifan Zhang, Xiangyu Li, Songsong Zhang and Shuo Zhang

Biomimetics 2025, 10(8), 515; https://doi.org/10.3390/biomimetics10080515 (registering DOI) - 6 Aug 2025

Abstract

Accurately predicting the compressive strength of high-performance concrete (HPC) is critical for ensuring structural integrity and promoting sustainable construction practices. However, HPC exhibits highly complex, nonlinear, and multi-factorial interactions among its constituents (such as cement, aggregates, admixtures, and curing conditions), which pose significant challenges to conventional predictive models. Traditional approaches often fail to adequately capture these intricate relationships, resulting in limited prediction accuracy and poor generalization. Moreover, the high dimensionality and noisy nature of HPC mix data increase the risk of model overfitting and convergence to local optima during optimization. To address these challenges, this study proposes a novel bio-inspired hybrid optimization model, AP-IVYPSO-BP, which is specifically designed to handle the nonlinear and complex nature of HPC strength prediction. The model integrates the ivy algorithm (IVYA) with particle swarm optimization (PSO) and incorporates an adaptive probability strategy based on fitness improvement to dynamically balance global exploration and local exploitation. This design effectively mitigates common issues such as premature convergence, slow convergence speed, and weak robustness in traditional metaheuristic algorithms when applied to complex engineering data. The AP-IVYPSO is employed to optimize the weights and biases of a backpropagation neural network (BPNN), thereby enhancing its predictive accuracy and robustness. The model was trained and validated on a dataset comprising 1,030 HPC mix samples. Experimental results show that AP-IVYPSO-BP significantly outperforms traditional BPNN, PSO-BP, GA-BP, and IVY-BP models across multiple evaluation metrics. Specifically, it achieved an R² of 0.9542, MAE of 3.0404, and RMSE of 3.7991 on the test set, demonstrating its high accuracy and reliability. These results confirm the potential of the proposed bio-inspired model in the prediction and optimization of concrete strength, offering practical value in civil engineering and materials design. Full article

(This article belongs to the Special Issue Bio-Inspired Optimization Algorithms and Designs for Engineering Applications: 3rd Edition)

13 pages, 2759 KiB

Open AccessArticle

A Novel Serum-Based Bioassay for Quantification of Cancer-Associated Transformation Activity: A Case–Control and Animal Study

by Aye Aye Khine, Hsuan-Shun Huang, Pao-Chu Chen, Chun-Shuo Hsu, Ying-Hsi Chen, Sung-Chao Chu and Tang-Yuan Chu

Diagnostics 2025, 15(15), 1975; https://doi.org/10.3390/diagnostics15151975 (registering DOI) - 6 Aug 2025

Abstract

Background/Objectives: The detection of ovarian cancer remains challenging due to the lack of reliable serum biomarkers that reflect malignant transformation rather than mere tumor presence. We developed a novel biotest using an immortalized human fallopian tube epithelial cell line (TY), which exhibits anchorage-independent growth (AIG) in response to cancer-associated serum factors. Methods: Sera from ovarian and breast cancer patients, non-cancer controls, and ID8 ovarian cancer-bearing mice were tested for AIG-promoting activity in TY cells. Results: TY cells (passage 96) effectively distinguished cancer sera from controls (68.50 ± 2.12 vs. 17.50 ± 3.54 colonies, p < 0.01) and correlated with serum CA125 levels (r = 0.73, p = 0.03) in ovarian cancer patients. Receiver operating characteristic (ROC) analysis showed high diagnostic accuracy (AUC = 0.85, cutoff: 23.75 colonies). The AIG-promoting activity was mediated by HGF/c-MET and IGF/IGF-1R signaling, as inhibition of these pathways reduced phosphorylation and AIG. In an ID8 mouse ovarian cancer model, TY-AIG colonies strongly correlated with tumor burden (r = 0.95, p < 0.01). Conclusions: Our findings demonstrate that the TY cell-based AIG assay is a sensitive and specific biotest for detecting ovarian cancer and potentially other malignancies, leveraging the fundamental hallmark of malignant transformation. Full article

(This article belongs to the Special Issue New Insights into the Diagnosis of Gynecological Diseases)

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22 pages, 2484 KiB

Open AccessArticle

Urban Land Revenue and Common Prosperity: An Urban Differential Rent Perspective

by Fang He, Yuxuan Si and Yixi Hu

Land 2025, 14(8), 1606; https://doi.org/10.3390/land14081606 (registering DOI) - 6 Aug 2025

Abstract

Common prosperity serves as a pivotal condition for achieving sustainable development by fostering social equity, bolstering economic resilience, and promoting environmental stewardship. Differential land revenue, as a crucial form of property based on spatial resource occupation, significantly contributes to the achievement of common prosperity, though empirical evidence of its impact is limited. This study explores the potential influence of land utilization revenue disparity on common prosperity from the perspective of urban macro differential rent (UMDR). Utilizing panel data from 280 Chinese cities spanning 2007 to 2020, we discover that UMDR and common prosperity levels exhibit strikingly similar spatiotemporal evolution. Further empirical analysis shows that UMDR significantly raises urban common prosperity levels, with a 0.217 standard unit increase in common prosperity for every 1 standard unit rise in UMDR. This boost stems from enhanced urban prosperity and the sharing of development achievements, encompassing economic growth, improved public services, enhanced ecological civilization, and more equitable distribution of development gains between urban and rural areas and among individuals. Additionally, we observe that UMDR has a more pronounced effect on common prosperity in eastern cities and those with a predominant service industry. This study enhances the comprehension of the relationship between urban land revenue disparities, prosperity, and equitable sharing, presenting a new perspective for the administration to contemplate the utilization of land-based policy tools in pursuit of the common prosperity goal and ultimately achieve sustainable development. Full article

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19 pages, 398 KiB

Open AccessArticle

Analyzing Regional Disparities in China’s Green Manufacturing Transition

by Xuejuan Wang, Qi Deng, Riccardo Natoli, Li Wang, Wei Zhang and Catherine Xiaocui Lou

Sustainability 2025, 17(15), 7127; https://doi.org/10.3390/su17157127 (registering DOI) - 6 Aug 2025

Abstract

China has identified the high-quality development of its green manufacturing transition as the top priority for upgrading their industrial structure system which will lead to the sustainable development of an innovation ecosystem. To assess their progress in this area, this study selects the panel data of 31 provinces in China from 2011 to 2021 and constructs an evaluation index system for the green transformation of the manufacturing industry from four dimensions: environment, resources, economy, and industrial structure. This not only comprehensively and systematically reflects the dynamic changes in the green transformation of the manufacturing industry but also addresses the limitations of currently used indices. The entropy value method is used to calculate the comprehensive score of the green transformation of the manufacturing industry, while the key factors influencing the convergence of the green transformation of the manufacturing industry are further explored. The results show that first, the overall level of the green transformation of the manufacturing industry has significantly improved as evidenced by an approximate 32% increase. Second, regional differences are significant with the eastern region experiencing significantly higher levels of transformation compared to the central and western regions, along with a decreasing trend from the east to the central and western regions. From a policy perspective, the findings suggest that tailored production methods for each region should be adopted with a greater emphasis on knowledge exchanges to promote green transition in less developed regions. In addition, further regulations are required which, in part, focus on increasing the degree of openness to the outside world to promote the level of green manufacturing transition. Full article

(This article belongs to the Section Sustainable Management)

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21 pages, 3840 KiB

Open AccessFeature PaperArticle

Identification of CaVβ1 Isoforms Required for Neuromuscular Junction Formation and Maintenance

by Amélie Vergnol, Aly Bourguiba, Stephanie Bauché, Massiré Traoré, Maxime Gelin, Christel Gentil, Sonia Pezet, Lucile Saillard, Pierre Meunier, Mégane Lemaitre, Julianne Perronnet, Frederic Tores, Candice Gautier, Zoheir Guesmia, Eric Allemand, Eric Batsché, France Pietri-Rouxel and Sestina Falcone

Cells 2025, 14(15), 1210; https://doi.org/10.3390/cells14151210 (registering DOI) - 6 Aug 2025

Abstract

Voltage-gated Ca²⁺ channels (VGCCs) are regulated by four CaVβ subunits (CaVβ1–CaVβ4), each showing specific expression patterns in excitable cells. While primarily known for regulating VGCC function, CaVβ proteins also have channel-independent roles, including gene expression modulation. Among these, CaVβ1 is expressed in skeletal muscle as multiple isoforms. The adult isoform, CaVβ1D, localizes at the triad and modulates CaV1 activity during Excitation–Contraction Coupling (ECC). In this study, we investigated the lesser-known embryonic/perinatal CaVβ1 isoforms and their roles in neuromuscular junction (NMJ) formation, maturation, and maintenance. We found that CaVβ1 isoform expression is developmentally regulated through differential promoter activation. Specifically, CaVβ1A is expressed in embryonic muscle and reactivated in denervated adult muscle, alongside the known CaVβ1E isoform. Nerve injury in adult muscle triggers a shift in promoter usage, resulting in re-expression of embryonic/perinatal Cacnb1A and Cacnb1E transcripts. Functional analyses using aneural agrin-induced AChR clustering on primary myotubes demonstrated that these isoforms contribute to NMJ formation. Additionally, their expression during early post-natal development is essential for NMJ maturation and long-term maintenance. These findings reveal previously unrecognized roles of CaVβ1 isoforms beyond VGCC regulation, highlighting their significance in neuromuscular system development and homeostasis. Full article

(This article belongs to the Section Tissues and Organs)

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20 pages, 2960 KiB

Open AccessArticle

Effectiveness of Kaolinite with and Without Polyaluminum Chloride (PAC) in Removing Toxic Alexandrium minutum

by Cherono Sheilah Kwambai, Houda Ennaceri, Alan J. Lymbery, Damian W. Laird, Jeff Cosgrove and Navid Reza Moheimani

Toxins 2025, 17(8), 395; https://doi.org/10.3390/toxins17080395 (registering DOI) - 6 Aug 2025

Abstract

Alexandrium spp. blooms and paralytic shellfish poisoning pose serious economic threats to coastal communities and aquaculture. This study evaluated the removal efficiency of two Alexandrium minutum strains using natural kaolinite clay (KNAC) and kaolinite with polyaluminum chloride (KPAC) at three concentrations (0.1, 0.25, and 0.3 g L⁻¹), two pH levels (7 and 8), and two cell densities (1.0 and 2.0 × 10⁷ cells L⁻¹) in seawater. PAC significantly enhanced removal, achieving up to 100% efficiency within two hours. Zeta potential analysis showed that PAC imparted positive surface charges to the clay, promoting electrostatic interactions with negatively charged algal cells and enhancing flocculation through Van der Waals attractions. In addition, the study conducted a cost estimate analysis and found that treating one hectare at 0.1 g L⁻¹ would cost approximately USD 31.75. The low KPAC application rate also suggests minimal environmental impact on benthic habitats. Full article

(This article belongs to the Special Issue Harmful Algal Blooms in Waters: Characterization, Monitoring and Management)

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23 pages, 3036 KiB

Open AccessArticle

Research on the Synergistic Mechanism Design of Electricity-CET-TGC Markets and Transaction Strategies for Multiple Entities

by Zhenjiang Shi, Mengmeng Zhang, Lei An, Yan Lu, Daoshun Zha, Lili Liu and Tiantian Feng

Sustainability 2025, 17(15), 7130; https://doi.org/10.3390/su17157130 (registering DOI) - 6 Aug 2025

Abstract

In the context of the global response to climate change and the active promotion of energy transformation, a number of low-carbon policies coupled with the development of synergies to help power system transformation is an important initiative. However, the insufficient articulation of the green power market, tradable green certificate (TGC) market, and carbon emission trading (CET) mechanism, and the ambiguous policy boundaries affect the trading decisions made by its market participants. Therefore, this paper systematically analyses the composition of the main players in the electricity-CET-TGC markets and their relationship with each other, and designs the synergistic mechanism of the electricity-CET-TGC markets, based on which, it constructs the optimal profit model of the thermal power plant operators, renewable energy manufacturers, power grid enterprises, power users and load aggregators under the electricity-CET-TGC markets synergy, and analyses the behavioural decision-making of the main players in the electricity-CET-TGC markets as well as the electric power system to optimise the trading strategy of each player. The results of the study show that: (1) The synergistic mechanism of electricity-CET-TGC markets can increase the proportion of green power grid-connected in the new type of power system. (2) In the selection of different environmental rights and benefits products, the direct participation of green power in the market-oriented trading is the main way, followed by applying for conversion of green power into China certified emission reduction (CCER). (3) The development of independent energy storage technology can produce greater economic and environmental benefits. This study provides policy support to promote the synergistic development of the electricity-CET-TGC markets and assist the low-carbon transformation of the power industry. Full article

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14 pages, 4458 KiB

Open AccessArticle

The Effect of Crevice Structure on Corrosion Behavior of P110 Carbon Steel in a Carbonated Simulated Concrete Environment

by Fanghai Ling, Chen Li, Hailin Guo and Yong Xiang

Coatings 2025, 15(8), 919; https://doi.org/10.3390/coatings15080919 (registering DOI) - 6 Aug 2025

Abstract

This study systematically investigated the corrosion behavior of P110 pipeline steel in simulated carbonated concrete environments through a combination of electrochemical testing and multiphysics simulation, with particular focus on revealing the evolution mechanisms of corrosion product deposition and ion concentration distribution under half crevice structures, providing new insights into localized corrosion in concealed areas. Experimental results showed that no significant corrosion occurred on the P110 steel surface in uncarbonated simulated pore solution. Conversely, the half crevice structure significantly promoted the development of localized corrosion in carbonated simulated pore solution, with the most severe corrosion and substantial accumulation of corrosion products observed at the crevice mouth region. COMSOL Multiphysics simulations demonstrated that this phenomenon was primarily attributed to local enrichment of Cl⁻ and H⁺ ions, leading to peak corrosion current density, and directional migration of Fe²⁺ ions toward the crevice mouth, causing preferential deposition of corrosion products at this location. This “electrochemical acceleration-corrosion product deposition” multiphysics coupling analysis of corrosion product deposition patterns within crevices represents a new perspective not captured by traditional crevice corrosion models. The established ion migration-corrosion product deposition model provides new theoretical foundations for understanding crevice corrosion mechanisms and predicting the service life of buried concrete pipelines. Full article

(This article belongs to the Section Corrosion, Wear and Erosion)

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Graphical abstract

18 pages, 5973 KiB

Open AccessArticle

Genome-Wide Identification and Characterisation of the 4-Coumarate–CoA Ligase (4CL) Gene Family in Gastrodia elata and Their Transcriptional Response to Fungal Infection

by Shan Sha, Kailang Mu, Qiumei Luo, Shi Yao, Tianyu Tang, Wei Sun, Zhigang Ju and Yuxin Pang

Int. J. Mol. Sci. 2025, 26(15), 7610; https://doi.org/10.3390/ijms26157610 (registering DOI) - 6 Aug 2025

Abstract

Gastrodia elata Blume is an important medicinal orchid, yet its large-scale cultivation is increasingly threatened by fungal diseases. The 4-coumarate–CoA ligase (4CL) gene family directs a key step in phenylpropanoid metabolism and plant defence, but its composition and function in G. elata have not been investigated. We mined the G. elata genome for 4CL homologues, mapped their chromosomal locations, and analysed their gene structures, conserved motifs, phylogenetic relationships, promoter cis-elements and codon usage bias. Publicly available transcriptomes were used to examine tissue-specific expression and responses to fungal infection. Subcellular localisation of selected proteins was verified by transient expression in Arabidopsis protoplasts. Fourteen Ge4CL genes were identified and grouped into three clades. Two members, Ge4CL2 and Ge4CL5, were strongly upregulated in tubers challenged with fungal pathogens. Ge4CL2 localised to the nucleus, whereas Ge4CL5 localised to both the nucleus and the cytoplasm. Codon usage analysis suggested that Escherichia coli and Oryza sativa are suitable heterologous hosts for Ge4CL expression. This study provides the first genome-wide catalogue of 4CL genes in G. elata and suggests that Ge4CL2 and Ge4CL5 may participate in antifungal defence, although functional confirmation is still required. The dataset furnishes a foundation for functional characterisation and the molecular breeding of disease-resistant G. elata cultivars. Full article

(This article belongs to the Section Molecular Genetics and Genomics)

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19 pages, 1584 KiB

Open AccessArticle

The Development of a Predictive Maintenance System for Gearboxes Through a Statistical Diagnostic Analysis of Lubricating Oil and Artificial Intelligence

by Diego Rigolli, Lorenzo Pompei, Massimo Manfredini, Massimiliano Vignoli, Vincenzo La Battaglia and Alessandro Giorgetti

Machines 2025, 13(8), 693; https://doi.org/10.3390/machines13080693 (registering DOI) - 6 Aug 2025

Abstract

This paper addressed the problem of oil diagnostics lubricants applied to the predictive maintenance of industrial gearboxes, proposing the integration of an artificial intelligence (AI) system into the process analysis. The main objective was to overcome the critical issues of the traditional method, characterized by long analysis times and a marked dependence on the subjective interpretation of operators. The method includes a detailed statistical analysis of the common ways to assess the condition of lubricants, such as optical emission spectroscopy, particle counting, measuring viscosity and density, and Fourier-transform infrared spectroscopy (FT-IR). These methods are then combined with an artificial intelligence model. Tested on commercial gearbox data, the proposed approach demonstrates agreement between IA and expert evaluation. The application has shown that it can effectively support diagnoses, reduce processing time by 60%, and minimize human errors. It also improves knowledge sharing through an increase in the stability and repetitiveness of diagnoses and promotes consistency and clarity in reporting. Full article

(This article belongs to the Special Issue Recent Developments in Machine Design, Automation and Robotics, Second Edition)

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14 pages, 982 KiB

Open AccessArticle

Effectiveness of a Learning Pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis

by Karla Mônica Dantas Coutinho, Humberto Rabelo, Felipe Fernandes, Karilany Dantas Coutinho, Ricardo Alexsandro de Medeiros Valentim, Aline de Pinho Dias, Janaína Luana Rodrigues da Silva Valentim, Natalia Araújo do Nascimento Batista, Manoel Honorio Romão, Priscila Sanara da Cunha, Aliete Cunha-Oliveira, Susana Henriques, Luciana Protásio de Melo, Sancha Helena de Lima Vale, Lucia Leite-Lais and Kenio Costa de Lima

Nutrients 2025, 17(15), 2562; https://doi.org/10.3390/nu17152562 (registering DOI) - 6 Aug 2025

Abstract

Background/Objectives: Health education plays a vital role in training health professionals and caregivers, supporting both prevention and the promotion of self-care. In this context, technology serves as a valuable ally by enabling continuous and flexible learning. Among the various domains of health education, nutrition stands out as a key element in the management of Amyotrophic Lateral Sclerosis (ALS), helping to prevent malnutrition and enhance patient well-being. Accordingly, this study aimed to evaluate the effectiveness of the teaching and learning processes within a learning pathway focused on food and nutrition in the context of ALS. Methods: This study adopted a longitudinal, quantitative design. The learning pathway, titled “Food and Nutrition in ALS,” consisted of four self-paced and self-instructional Massive Open Online Courses (MOOCs), offered through the Virtual Learning Environment of the Brazilian Health System (AVASUS). Participants included health professionals, caregivers, and patients from all five regions of Brazil. Participants had the autonomy to complete the courses in any order, with no prerequisites for enrollment. Results: Out of 14,263 participants enrolled nationwide, 182 were included in this study after signing the Informed Consent Form. Of these, 142 (78%) completed at least one course and participated in the educational intervention. A significant increase in knowledge was observed, with mean pre-test scores rising from 7.3 (SD = 1.8) to 9.6 (SD = 0.9) on the post-test across all courses (p < 0.001). Conclusions: The self-instructional, technology-mediated continuing education model proved effective in improving participants’ knowledge about nutrition in ALS. Future studies should explore knowledge retention, behavior change, and the impact of such interventions on clinical outcomes, especially in multidisciplinary care settings. Full article

(This article belongs to the Section Geriatric Nutrition)

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22 pages, 775 KiB

Open AccessReview

Bioactive Compounds, Technological Advances, and Sustainable Applications of Avocado (Persea americana Mill.): A Critical Review

by Amanda Priscila Silva Nascimento, Maria Elita Martins Duarte, Ana Paula Trindade Rocha and Ana Novo Barros

Foods 2025, 14(15), 2746; https://doi.org/10.3390/foods14152746 (registering DOI) - 6 Aug 2025

Abstract

Avocado (Persea americana), originally from Mesoamerica, has emerged as a focus of intense scientific and industrial interest due to its unique combination of nutritional richness, bioactive potential, and technological versatility. Its pulp, widely consumed across the globe, is notably abundant in monounsaturated fatty acids, especially oleic acid, which can comprise over two-thirds of its lipid content. In addition, it provides significant levels of dietary fiber, fat-soluble vitamins such as A, D, E and K, carotenoids, tocopherols, and phytosterols like β-sitosterol. These constituents are consistently associated with antioxidant, anti-inflammatory, glycemic regulatory, and cardioprotective effects, supported by a growing body of experimental and clinical evidence. This review offers a comprehensive and critical synthesis of the chemical composition and functional properties of avocado, with particular emphasis on its lipid profile, phenolic compounds, and phytosterols. It also explores recent advances in environmentally sustainable extraction techniques, including ultrasound-assisted and microwave-assisted processes, as well as the application of natural deep eutectic solvents. These technologies have demonstrated improved efficiency in recovering bioactives while aligning with the principles of green chemistry. The use of avocado-derived ingredients in nanostructured delivery systems and their incorporation into functional foods, cosmetics, and health-promoting formulations is discussed in detail. Additionally, the potential of native cultivars and the application of precision nutrition strategies are identified as promising avenues for future innovation. Taken together, the findings underscore the avocado’s relevance as a high-value matrix for sustainable development. Future research should focus on optimizing extraction protocols, clarifying pharmacokinetic behavior, and ensuring long-term safety in diverse applications. Full article

(This article belongs to the Special Issue Feature Review on Nutraceuticals, Functional Foods, and Novel Foods)

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19 pages, 8835 KiB

Open AccessArticle

The Spatial Distribution Characteristics and Driving Factors of Traditional Villages’ Tourism Transformation Level in Shaanxi, China

by Huidi Jia, Lanbo Li, Siying Wu, Ruiqi Zhao and Huan Yang

Land 2025, 14(8), 1602; https://doi.org/10.3390/land14081602 (registering DOI) - 6 Aug 2025

Abstract

Although numerous studies have examined the spatial patterns of traditional villages and their driving factors, limited attention has been devoted to the transformation of tourism. This study focused on traditional villages in Shaanxi Province, employing geodetector and grounded theory methods to analyze their spatial distribution characteristics and influencing factors. First, most traditional villages have not developed tourism. Only 11.98% reached the relatively mature tourism stage. Second, the spatial distribution of mature traditional tourism villages is scattered and primarily clustered in Liuba County, Mizhi County, and Jia County. Third, the factors influencing spatial distribution characteristics include resource endowment, transportation accessibility, and regional economic conditions. Among these factors, the level of traditional villages, village heritage values, and the local tourism environment show the strongest explanatory power. These findings can help enhance cultural resilience, promote economic transformation and upgrading, and support the sustainable development of traditional villages. Full article

(This article belongs to the Special Issue Rural Tourism Development: Land Use, Ecosystem Services, and Community Interactions)

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