Search Results (178)

In the face of the raw materials crisis and environmental concerns, sustainable waste management has become a priority for current and future generations. Recycling waste from wastewater treatment plants in a closed loop protects natural resources, reduces landfill volumes, and lowers disposal costs. This paper presents the results of tests on the physical, filtration, and mechanical properties of mixtures of washed mineral waste (WMW) from grit chambers with fly ash from the thermal treatment of municipal sewage sludge (SSA) in a fluidized bed furnace. Additionally, radiological tests of the mixture components were conducted. Based on the conducted tests, the possibility of sustainable use in civil engineering, such as soil backfills and embankment construction materials, was assessed. The possibility of safely using waste materials in the indicated construction solutions was demonstrated for mixtures with dominant WMW content (90% and 70% by total weight). The waste mixtures correspond to poorly or medium-grade sands with a small amount of silt (uniformity coefficients of 3.33, 3.50, and 8.00). They are characterized by maximum dry densities of 1.542, 1.770, and 1.780 g/cm³; optimal moisture contents of 12.54, 12.86, and 20.25%; permeability coefficients of 0.08, 0.22, and 0.39 m/d; and internal friction angles of 38.4, 39.5, and 40.1°. The values of the determined parameters of some mixtures are similar to those of natural sands used as construction aggregates. All mixtures meet the geotechnical criteria for use in road embankments, below frost depth, and in flood embankment bodies. Mixtures with a 90% mass fraction of WMW were also approved for application as backfill for installation trenches. However, none of the mixtures met the hydraulic conductivity threshold required for the upper layers of embankments nor for backfill of abutments and retaining structures without the use of an additional binder (cement or lime), which is considered a prerequisite for these applications. Full article

The skin microbiome is essential for epidermal barrier integrity and immune homeostasis. This review explores the therapeutic shift in dermo-cosmetics toward probiotic, prebiotic, synbiotic, and postbiotic strategies for managing wound healing, “inflammaging”, and chronic dermatoses like acne, atopic dermatitis (AD), psoriasis, and rosacea. Mechanisms include gut–skin axis modulation, competitive pathogen exclusion, and the suppression of inflammatory pathways (e.g., NF-κB). While live probiotics demonstrate high clinical efficacy, their formulation is severely hindered by standard cosmetic preservatives and manufacturing thermal stress. Consequently, evidence suggests inanimate postbiotics have emerged as promising, stable alternatives, which may offer antimicrobial and tissue-repairing benefits without strict cold-chain requirements. However, the industry faces significant regulatory ambiguity and “probiotic-washing”, with most commercial products mislabeling postbiotic lysates as live cultures. Advancing this field requires standardized sampling protocols and transparent labeling. Ultimately, precision dermatology is likely to be driven by AI-assisted microbiome profiling, synthetic biology, and advanced delivery matrices (e.g., electrospun nanofibers, alginate microencapsulation), transforming skincare from reactive treatments into proactive, targeted ecological management. Full article

As lithium demand surges and primary resources face depletion, lithium-bearing wastewater from urban mines has become a crucial secondary resource. For highly alkaline (pH 9–12), low-lithium (Li⁺ 0.5–5 g/L), high-sodium (Na/Li mass ratio > 30) wastewater generated from the alkaline leaching-washing of spent lithium-ion batteries in urban mining, a single-component, synergist-free extraction process employing HBL121 in sulfonated kerosene was developed, and its extraction stoichiometry, reaction mechanism, and industrial feasibility were elucidated. Saponification significantly enhanced extraction under moderate alkalinity: the saponified system achieved over 99% extraction efficiency at pH 11.0, whereas the non-saponified system required pH > 13.5 for comparable performance, thereby lowering alkali consumption by 81%. Under optimal conditions (saponification degree 40%, 30% (v/v) HBL121 and 70% (v/v) sulfonated kerosene, organic-to-aqueous phase ratio O/A = 1:1, extraction time 5 min), single-stage extraction efficiency exceeded 99%. A McCabe-Thiele diagram was used to determine the theoretical stage number for lithium stripping, showing that essentially all lithium ions can be stripped via a three-stage countercurrent process. Using 3.0 mol/L H₂SO₄ at an aqueous-to-organic phase ratio of 1:4, the stripping efficiency exceeded 99% from the loaded organic. Slope analysis, FT-IR, and ESI-MS confirmed a coordination mechanism between HBL121 and metal ions, forming a stable anionic bisphosphonate complex [LiNa₂(C₂₈H₄₄O₇P₂)]⁻, whose neutral parent form is HLiNa₂(C₂₈H₄₄O₇P₂). Full article

Most Sustainable Development Goals (SDGs) involve water, but integrated water resources management (IWRM) does not address them explicitly, especially the important health and sanitation goals. IWRM has structural problems and has been used mainly as a development tool rather than a way to manage water. There is no consensus among the professional communities about the methods and value of IWRM, and its inherent problems make assessment of its success difficult. It surveys national levels while most applications are at local levels. Efforts to improve and assess progress in the water, sanitation, and hygiene (WASH) sector faced similar obstacles, and a new approach based on household surveys was adopted. The mismatch between IWRM and WASH is caused by the polarization between communities of practice for public health and water management. Tools posted by the Global Water Partnership (GWP) do not address WASH explicitly, and the public health profession does not embrace IWRM. These problems can be mitigated by a new definition of IWRM that combines WASH with other water-related issues. To address its complexity, situational archetypes can be mapped to local levels and explained by case studies. To assess progress in IWRM implementation, a new approach should focus on results at local levels rather than methods at the national levels and address the polarization with WASH. SDG reporting relating to water should focus on local outcomes with WASH included, as well as key purposes that include water for food, flood control, drought resilience, and the sustainability of ecosystems. Progress could be assessed via outcome data collected by sector organizations. The GWP program could adopt a new definition of IWRM and new methods of assessment. Full article

Current antibacterial sprays face major limitations, including rapid evaporation, short-lived efficacy, skin irritation, and poor adhesion to surfaces, highlighting an urgent need for a durable and biocompatible alternative. To address these challenges, we developed a ZIF-8-based spray (ZNS-WO20) composed of ZIF-8 nanoparticles dispersed in 50% ethanol and 20% OTES. OTES acts as a dispersant and binder, enabling wash-resistant coatings on gauze and glass. ZIF-8 exhibits pH-responsive Zn²⁺ release, achieving nearly 100% killing of S. aureus, E. coli, and methicillin-resistant S. aureus (MRSA) at 160 μg/mL through intracellular reactive oxygen species (ROS) generation. The spray maintains >95% antibacterial efficacy against S. aureus after five washing cycles and seven days of outdoor exposure, and causes no dermal irritation in rats. This work fills the gap for a long-lasting, skin-friendly antibacterial spray, showing promise for healthcare disinfection and surface protection. Full article

Comprehensive mechanized solid backfilling technology exhibits significant advantages in solid waste disposal, “three-under” coal mining, and dynamic disaster control. However, its large-scale application is constrained by low production efficiency, high unit production cost, and high labor intensity. Therefore, industrial upgrading through intelligent technologies is urgently required. In this study, methods including literature review, theoretical analysis, and field measurements are employed to propose three backfilling modes. The configurations of the six core subsystems under each mode are systematically summarized, and the core definition of an intelligent backfilling mine is established. Furthermore, a key technology framework for intelligent backfill mining is developed, based on PLC control and PID algorithms, with a closed-loop architecture centered on “perception–decision–execution.” Engineering applications demonstrate that the surface gangue intelligent pretreatment system achieves functions including automatic vehicle washing, intelligent dust suppression spraying at discharge points, dynamic metering during conveying, and adaptive adjustment of feeding systems. The intelligent surface-to-underground coal gangue vertical feeding system enables full silo alarm and level regulation. The underground jigging intelligent separation system realizes intelligent jigging ratio adjustment, intelligent bed layer measurement and control, and intelligent air volume regulation, with the coal content in gangue discharge maintained below 4%. At the working face, the intelligent solid backfilling system doubles monthly coal output, boosts backfilling efficiency by 50%, and cuts the workforce by 8–10 workers. The intelligent backfilling effectiveness monitoring system operates stably, with a working face weighting factor of 1.12 and precise ground deformation control within Grade I limits. Full article

Industrialization has led to the substantial release of heavy metals and organic pollutants into soil and groundwater, resulting in severe contaminated site issues that pose significant threats to ecosystems and human health. This review aims to systematically review the current development status and challenges of contaminated site remediation technologies, and explore the potential of artificial intelligence (AI) applications in site remediation, to provide a theoretical reference for advancing intelligent remediation. Conventional remediation technologies mainly include physical methods (e.g., solidification/stabilization (S/S), soil vapor extraction (SVE), thermal desorption, pump and treat (P&T), groundwater circulation wells (GCWs)), chemical methods (e.g., chemical oxidation/reduction, electrokinetic remediation (EKR), soil washing), and biological methods (phytoremediation, microbial remediation), along with combined strategies that integrate multiple approaches. Although these technologies have achieved certain successes in engineering practice, they still face common challenges such as risks of secondary pollution, long remediation periods, high costs, poor adaptability to complex hydrogeological conditions, and insufficient long-term stability, making it difficult to fully meet the remediation demands of complex contaminated sites. Subsequently, the potential of emerging technologies—including nanomaterial-based remediation, bioelectrochemical systems, and molecular biology-assisted remediation—is introduced. On this basis, the forefront applications of AI in contaminated site remediation are discussed, covering site monitoring and characterization, risk assessment, remedial strategy selection, process prediction and parameter optimization, material design, and post-remediation intelligent stewardship. Machine learning (ML), explainable AI (XAI), and hybrid modeling approaches have markedly improved remediation efficiency and decision-making. Looking forward, with advancements in XAI, mechanism-data fusion models, and environmental foundation models, AI is poised to drive a paradigm shift toward intelligent and precision remediation. However, challenges related to data quality, model interpretability, and interdisciplinary expertise remain key barriers to overcome. Full article

This study presents a systematic evaluation of 2-layer conductive Jacquard knitted fabrics with a birdseye backing designed for wearable electronic applications. Three sets of samples with 9 different proportions of conductive yarn (27 samples) are designed on a computerized flat-knitting machine, and three indicators (conductive yarn usage ratio, resistance change ratio after washing, and temperature variation) are examined. The 2-layer Jacquard structure enables conductive yarns to form loops on both the technical face and back, thus producing continuous and interlocked conductive pathways. The experimental results show that the proportions of pattern dots for the conductive yarns determine the amount of conductive yarn used in a 2-layer Jacquard structure with the same technical parameters. For the samples with 10–90% pattern dots, the conductive yarn consumption ratio ranges from 34.80% to 65.18%. After 10 washes, resistance change ratio ranges from 27.66~55.54%, which show a moderate electrical stability. After 10 washes, the heating temperature increases by 15.6 to 19.67 °C, which show good thermal properties. Finally, a fuzzy logic evaluation is conducted with objective indicator weights. The findings provide quantitative evidence for the material–structure integration of conductive knitted textiles and support their potential for applications in next-to-skin smart garments. Full article

As a primary associated by-product of coal mining, the comprehensive utilization of coal gangue has become a core pathway for the green transformation of the energy system and the establishment of a resource recycling system. The fully mechanized top-coal caving mining method used in China lacks a quality linkage mechanism between underground matched mining and surface coal blending, resulting in significant fluctuations in coal quality, larger volumes of gangue brought to the surface, and low utilization rates of coal washing by-products. In this paper, we propose a reverse decision-making method for whole-lifecycle coal quality control and construct an ash content tracing and regulation model to coordinate coal blending and matched mining in fully mechanized caving faces. In the coal blending stage, under the constraints of calorific value balance and cost minimization, the method transforms low-calorific-value by-products, such as middlings and fine gangue, into valuable resources. In the matched mining stage, a reverse tracking model based on the surface–underground ash content balance is proposed, grounded in material flow analysis theory. The model formulates correlation equations among face length, the low calorific value of raw coal, daily advance per cycle, and caved gangue volume. It further proposes a reverse coal quality tracing theory that links commercial coal sales targets with caving process parameters. The study clarifies the deep coordination mechanism between underground matched mining and surface coal blending. The results demonstrate that the proposed method systematically establishes a closed-loop pathway integrating underground gangue reduction at the source and surface fine gangue blending. The implementation has yielded direct economic benefits totaling RMB 65.31 million, increased commercial blended coal output by 104.5 thousand tons, and reduced gangue emissions by 258.5 thousand tons. This study provides a reference for the reduction, resource utilization, and recycling of coal gangue. Full article

Animal welfare has become an increasingly prominent attribute in global food markets, embedded within sustainability narratives, quality claims, and ethical branding strategies. However, the proliferation of animal welfare claims has not always been matched by equivalent improvements in on-farm welfare outcomes. This paper conceptualises animal welfare washing (AWW) as a systemic phenomenon in animal-based supply chains, whereby welfare narratives, standards, and certifications create the appearance of ethical production without delivering measurable improvements in animal welfare. Drawing on the interdisciplinary literature from animal welfare science, sustainability studies, trade governance, and food policy, this conceptual essay examines how AWW emerges from the interaction of industrial farming systems, fragmented public and private regulations, trade incentives, and information asymmetries. The analysis shows that AWW undermines ethical commitments to animals, regulatory credibility, and food quality governance. Welfare claims frequently operate as credence-based quality signals, despite weak links to verifiable welfare outcomes. Together, these conditions enable symbolic compliance and regulatory arbitrage across global value chains. As a result, genuinely higher-welfare producers face distorted competition, while consumers encounter diminishing trust in sustainability labels. It is argued that addressing AWW requires a shift toward outcome-based measurable welfare standards, stronger enforcement, improved integration with food quality regulation, and trade-compatible governance frameworks that reward performance rather than symbolic claims. By situating AWW within broader sustainability and trade dynamics, this paper advances debates on ethical food governance. Full article

The growing environmental impact of conventional textile dyeing processes, particularly their high water consumption, chemical usage, and wastewater generation, has intensified the need for alternatives. For this reason, the textile industry faces increasing pressure to adopt sustainable production routes that minimize environmental loads. The utilization of recycled polyester fabrics, natural dyes, and waste-derived bio-resources within waterless dyeing systems represents a holistic approach toward environmentally responsible textile manufacturing. This study focuses on the production of sustainable textiles by dyeing recycled polyester fabrics with natural madder dye and eggshell powder in a waterless supercritical CO₂ medium. The samples were characterized via SEM, TGA, wash fastness tests, and tensile strength measurements. SEM images clearly revealed the presence of eggshell powder (ESP) on the fabric surfaces. After UV aging, the samples containing 20% ESP exhibited higher tensile strength and more pronounced color stability compared to the control sample. The CaCO₃ component of the ESP contributed to UV resistance, while the TGA results showed higher residual mass for ESP-treated samples, indicating improved thermal stability. Moreover, the persistence of ESP on the fabric surface after repeated washing and the satisfactory wash fastness results confirmed the durability of the treatment. Overall, the results demonstrate that the combination of natural dye, recycled polyester, and eggshell-derived bio-additives in a waterless scCO₂ dyeing system offers a promising and environmentally benign strategy for producing sustainable and functional textile materials. Full article

Background: Personal protective measures help prevent infection and disease transmission during health crises such as Coronavirus disease 2019 (COVID-19). Populations facing barriers to adhering to these measures are more vulnerable to the health crisis. This study investigated the association of social drivers of health (SDoH), self-efficacy, and adverse substance use behavior changes with ability to practice COVID-19 personal protective behaviors among persons who inject drugs (PWID) with hepatitis C virus (HCV) infection history. Methods: This study used the Hepatitis C Real Options (HERO) study’s COVID-19 survey data (n = 157). The association of inability to practice COVID-19 personal protective behaviors (hand washing, social distancing, etc.) with (a) SDoH difficulties (employment, housing, etc.); (b) adverse substance use behavior change (overdose, injecting behavior, etc.); and (c) self-efficacy was tested using logistic regression. Results: Inability to practice any personal protective behaviors was more likely among those experiencing any vs. no SDoH difficulties [adjusted odds ratio (aOR) (95% confidence interval (CI))] = 4.57 (1.57, 16.40); p = 0.003] but less likely for those with higher overall self-efficacy [aOR (95% CI) = 0.55 (0.32, 0.93); p = 0.025] and self-efficacy for setting goals [aOR (95% CI) = 0.63 (0.40, 0.96); p = 0.031]. The association between adverse substance use behavior changes and the outcome was not significant. Conclusions: Greater SDoH difficulties and lower self-efficacy were associated with greater inability to practice COVID-19 personal protective behaviors. Interventions to meet SDoH-related challenges and increase self-efficacy could help encourage practice of personal protective behaviors and economically reduce disease burden during health crises. Full article

Wetlands are delicate ecosystems that host diverse species and face ongoing environmental stress. The “Carlos Anwandter” Ramsar Site in Valdivia, Chile, is the world’s main breeding ground for the black-necked swan, which strongly relies on the aquatic plant Egeria densa. This area has been impacted by anthropogenic activities that have increased particulate iron (Fe) and zinc (Zn) deposition. However, standard protocols for metal analysis encourage eliminating any particles on the plant’s surface, neglecting the contribution of deposited particulate contaminants. Appropriate sample treatment is therefore essential to quantify metal concentrations and the potential impact on herbivore species. This study aimed to evaluate how sample treatments and plant sectioning affect Fe and Zn concentrations in E. densa. Samples were collected from both the Ramsar site (Cruces River) and a control site (Calle-Calle River). Results showed that washing samples (both in the field and lab) significantly reduced reported metal concentrations, underscoring the importance of standardised sampling and pre-treatment protocols. Fe concentrations were notably higher at the Ramsar site (11,155 mg kg⁻¹) compared to the control (3783 mg kg⁻¹). The same is true for Zn (108 mg kg⁻¹ and 60 mg kg⁻¹, respectively). Over time, Fe concentrations remained stable, while Zn concentrations declined, suggesting a consistent Fe input and a decreasing Zn trend in the wetland. These findings are crucial for interpreting metal pollution and understanding spatial–temporal variability in aquatic plant contamination. Full article

Since the causes of aging are diverse, anti-aging requires a wide range of strategies. Kampo, a traditional medicine of Japan, which has its roots in traditional Chinese medicine, is generally prepared by combining several natural compounds to produce a multiple pharmacological effect, which is considered useful against aging with various changes. In this study, we evaluated the effects of a medical cosmetic Kampo cream on 14 healthy female subjects aged 31 to 59 years with dry skin and shallow wrinkles at the corners of the eyes using the split-face method. The subjects applied the test cream to only one side of their faces twice a day for 4 weeks. Their wrinkles around the eyes on both sides of their faces were evaluated from photographs taken by expert examiners who were blinded to the subjects. The effects on skin condition were also assessed using a questionnaire given to the subjects. Judgments made by the experts from the photos suggest that the wrinkles on the side of the face where the cream was used were improved, while those on the other side were not. The reduction in wrinkles was more pronounced in elder subjects. This reduction in wrinkles on the test side of the face was also supported by the results of the questionnaire administered to the subjects. In addition to wrinkles, many other aging-related parameters such as skin softness, makeup adhesion, smoothness, tightness after washing the face, and moisture were suggested to be improved with the use of the test cream. These results indicate that the application of the Kampo cream for 4 weeks showed an anti-wrinkle effect and the preservation of the facial skin in a healthy condition, which may be due to the combined effects of the natural ingredients used in Kampo medicine. Full article

Background: Access to water, sanitation, and hygiene (WASH) services is internationally recognized as a fundamental human right and an essential determinant of health. Yet, many healthcare facilities in sub-Saharan Africa face persistent WASH deficits, undermining safe and effective care delivery. Aim: To explore how water (in)accessibility influences patient healthcare experiences and patient–provider relationships in Yendi Hospital, a major referral facility in northern Ghana. Methods: Using a qualitative design, we gathered data from patients (n = 21), caregivers (n = 11), and nurses (n = 11) through in-depth interviews, participant observation, and a focus group to document their lived experiences and perceptions. We transcribed and inductively coded the data for thematic analysis. Results: Our key findings reveal that water inaccessibility is not solely an infrastructural issue but also a pervasive challenge with profound implications for care delivery. Patients and caregivers often leave the hospital to bathe at home, resulting in missed ward rounds, delayed reviews, and/or refusal of admission. Nurses described how water inaccessibility disrupted clinical routines and strained relationships with patients and caregivers. These dynamics eroded trust, rapport, and professional morale, while exacerbating inequities in healthcare access and outcomes. Conclusions: This study underscores that addressing water challenges in the hospital is imperative not only for infection control but also for fostering equity, patient rights, and institutional resilience. We argue that policy interventions to strengthen WASH systems are urgently required to advance progress toward Sustainable Development Goal 6. Full article