Search Results (20,276)

With the rapidity of urbanisation, concerns about citizens’ mental wellbeing issues are on the rise, and simultaneously, the issue of land use conflicts is becoming increasingly prominent. As a nature-based solution, the role of urban green space has been continually emphasised in the past decade. In urban areas facing scarce land resources, improving the quality of green spaces appears to be an important approach. This review aimed to systematically elaborate the studies regarding the associations between urban green space (UGS) qualities and mental wellbeing, following the Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Twenty-two articles were included, and most of them had a cross-sectional design. From the analysis of the data, it emerged that the definition of the quality of green space is heterogeneous. Natural elements, particularly vegetation diversity and water features, consistently showed positive associations with mental wellbeing, while the effects of spatial features like accessibility showed mixed results. The impact of facilities and amenities appeared more complex, with their benefits heavily dependent on the design and maintenance. More evidence is needed to determine the mental wellbeing benefits of maintenance and the development of facilities and amenities for UGSs. In addition, the assessment of mental wellbeing relied on various self-reported scales, with different scales targeting different aspects. Instrumental measurements were rarely employed. Future research should employ more rigorous experimental methods and standardised quality assessment tools. Full article

Water quality in aquaculture has a direct impact on the growth and development of the aquatic organisms being cultivated. The rapid, accurate and comprehensive control of water quality in aquaculture ponds is crucial for the management of aquaculture water environments. Traditional water quality monitoring methods often use manual sampling, which is not only time-consuming but also reflects only small areas of water bodies. In this study, unmanned aerial vehicles (UAV) equipped with high-spectral cameras were used to take remote sensing images of experimental aquaculture ponds. Concurrently, we manually collected water samples to analyze critical water quality parameters, including total nitrogen (TN), ammonia nitrogen (NH₄⁺-N), total phosphorus (TP), and chemical oxygen demand (COD). Regression models were developed to assess the accuracy of predicting these parameters based on five preprocessing techniques for hyperspectral image data (L2 norm, Savitzky–Golay, first derivative, wavelet transform, and standard normal variate), two spectral feature selection methods were utilized (successive projections algorithm and competitive adaptive reweighted sampling), and three machine learning algorithms (extreme learning machine, support vector regression, and eXtreme gradient boosting). Additionally, a deep learning model incorporating the full spectrum was constructed for comparative analysis. Ultimately, according to the determination coefficient (R²) of the model, the optimal prediction model was selected for each water quality parameter, with R² values of 0.756, 0.603, 0.94, and 0.858, respectively. These optimal models were then utilized to visualize the spatial concentration distribution of each water quality parameter within the aquaculture district, and evaluate the rationality of the model prediction by combining manual detection data. The results show that UAV hyperspectral technology can rapidly reverse the spatial distribution map of water quality of aquaculture ponds, realizing rapid and accurate acquisition for the quality of aquaculture water, and providing an effective method for monitoring aquaculture water environments. Full article

This study investigated the potential of hempseed protein isolate (HPI) as a protein fortifier and wheat flour substitute in vegan muffins. HPI was incorporated at 0% (CON), 10% (HP10), 20% (HP20), and 30% (HP30) substitution levels, and muffins were evaluated for physicochemical, functional, and sensory properties. Protein content significantly increased from 9.61% (CON) to 19.40% (HP30), while baking loss decreased from 21.33% to 19.77%, reflecting HPI’s superior water-holding capacity. Texture analysis showed hardness decreased from 179.72 g/cm² (CON) to 137.73 g/cm² (HP30), resulting in softer muffins with higher chewiness. This correlated with a more aerated crumb structure and smoother surface at higher HPI levels, indicating improved structural integrity. Rheological analysis revealed increased batter viscosity and shear-thinning behavior with HPI fortification. FTIR analysis exhibited redshifts in the Amide I and Amide II bands, suggesting enhanced protein–protein interactions and hydrogen bonding in fortified HPI muffins. Antioxidant activity increased significantly, with ABTS radical scavenging values rising from 32.66% (CON) to 46.28% (HP30), attributed to the bioactive peptides and phenolic compounds (144.67 mg GAE/g) in HPI. However, in vitro protein digestibility (IVPD) decreased from 66.08% to 42.63% due to protein–starch–lipid interactions inhibiting hydrolysis. Sensory evaluation showed no significant differences in aroma, taste, mouthfeel, or overall acceptability, with scores between 4.83 and 5.33 among all samples. These results demonstrate that HPI incorporation of up to 30% significantly enhances the nutritional profile, antioxidant activity, and textural properties of vegan muffins while maintaining overall sensory quality, supporting HPI’s potential as a sustainable protein fortifier in plant-based bakery products. Full article

Total nitrogen (TN) and total phosphorus (TP) are essential indicators for assessing water quality. This study systematically analyzes the spatial and temporal distribution of TN and TP in China’s surface waters and examines the influence of natural factors and human activities on their concentrations. Utilizing data from 1387 monitoring sites (2020–2021) and employing K-means clustering and geographically weighted regression (GWR), we found that the national average concentrations were 3.89 mg/L for TN and 0.096 mg/L for TP. Spatially, higher TN and TP levels were observed in northern regions, coastal areas, and plains compared with southern, inland, and mountainous areas. Notably, TN concentrations reached up to 29.49 mg/L in the Haihe River basin and related plains, while TP peaked at 0.497 mg/L in the southeastern Shandong and northern Jiangsu coastal zones. Temporally, TN levels were approximately 50% higher in winter than summer, whereas TP levels were about 40% higher in summer. Key influencing factors included rainfall, elevation, fertilizer use, and population density, with spatial heterogeneity observed. Rainfall was the primary factor for TN change and the secondary factor for TP change. Soil type positively correlates with TN and TP changes, affecting non-point source pollution. Human activities such as land use, fertilizer application and population density had a significant effect on the nitrogen and phosphorus concentrations, while woodland had a significant impact on the improvement of water quality. The geographically weighted regression analysis showed spatial heterogeneity in the effects of each factor on TN and TP concentrations, and the best fit was at the watershed scale. The findings highlight the need for enhanced control of agricultural runoff, improved sewage treatment, and region-specific management strategies to inform effective water environment policies in China. Full article

This study investigated the impact of conventional ploughing (CT), minimum multitiller tillage (MT), and reduced loosening tillage (RT), with and without straw mulch on Fluvisol properties and crop yields in Croatia over three years (2019–2021). While conservation tillage practices are well studied in arid regions, our study addresses the unique challenges and benefits of these practices in humid conditions. Plots treated with straw mulch (2.75 t/ha) showed significant improvements in soil physical properties compared to bare plots. Penetration resistance (PR) decreased under 3-year mulch application in all tillage systems, with a reduction of up to 28% compared to bare plots. Water-holding capacity (WHC) was significantly higher in mulched MT (52.4%) than in bare CT (41.6%). Aggregate stability increased by 15–20% under mulch, with the highest stability in MT plots. Soil organic matter (SOM) peaked in mulched MT in 2021, reaching 4.5%, compared to 3.6% in bare CT. Yield results varied by crop: soybean yield was unaffected by tillage treatment but increased by 21% under mulch in MT; maize yield was highest in RT without mulch (13.95 t/ha); and spring wheat yield significantly improved in mulched MT (3.83 t/ha), compared to bare plots (1.75 t/ha). These findings highlight the synergistic benefits of non-inversion tillage and straw mulch in enhancing soil quality and crop yields, offering a sustainable management strategy for Central European agroecosystems. Full article

This study investigates the impact of Nosema infection in beehives on the physico-chemical and biochemical properties and spectral characteristics of honey as indicators of honey quality. Comprehensive analyses were performed on honey samples from hives with varying levels of Nosema infection, examining water content, free acidity, optical rotation, electrical conductivity, sugar composition, catalase activity, and pollen content. Honey from highly infected hives showed higher water content (up to 17.3%), lower optical rotation, reduced electrical conductivity, decreased glucose levels, and increased sucrose levels. Principal component analysis (PCA) identified distinct clustering of samples based on infection levels, with changes in the sugar profile, particularly higher phenolic compounds, correlating with increased infection levels. Fluorescence spectroscopy combined with PARAFAC modeling identified proteins and phenolic compounds as key discriminators of honey from infected hives. Correlation and PLS modeling further demonstrated strong relationships between spectral features and honey properties, including catalase activity and pollen content. This research presents a novel approach to evaluating the impact of Nosema infection on honey quality by integrating physico-chemical and biochemical analyses and sugar composition profiling with advanced spectroscopic techniques. These insights are invaluable for improving bee health monitoring practices and advancing sustainability in the beekeeping and honey production industries. Full article

Eutrophication in Canadian lakes degrades water quality, disrupts ecosystems, and poses health risks due to potential development of harmful algal blooms. It also economically impacts the general public, industries like recreational and commercial fishing, and tourism. Analysis of a 140-year core record from Utikuma Lake, northern Alberta, revealed the processes behind the lake’s current hypereutrophic conditions. End-member modeling analysis (EMMA) of the sediment grain size data identified catchment runoff linked to specific sedimentological processes. ITRAX X-ray fluorescence (XRF) elements/ratios were analyzed to assess changes in precipitation, weathering, and catchment runoff and to document changes in lake productivity over time. Five end members (EMs) were identified and linked to five distinct erosional and sedimentary processes, including moderate and severe precipitation events, warm and cool spring freshet, and anthropogenic catchment disturbances. Cluster analysis of EMMA and XRF data identified five distinct depositional periods from the late 19th century to the present, distinguished by characteristic rates of productivity, rainfall, weathering, and runoff linked to natural and anthropogenic drivers. The most significant transition in the record occurred in 1996, marked by an abrupt increase in both biological productivity and catchment runoff, leading to the hypereutrophic conditions that persist to the present. This limnological shift was primarily triggered by a sudden discharge from a decommissioned sewage treatment lagoon into the lake. Spectral and wavelet analysis confirmed the influence of the Arctic Oscillation, El Niño Southern Oscillation, North Atlantic Oscillation, and Pacific Decadal Oscillation on runoff processes in Utikuma Lake’s catchment. Full article

Seaweeds are the only source for phycocolloids. Commercial applications of phycocolloids depend on their chemical/physical properties, including their gel forming ability. Thus, gel strength values are important for seaweed growers and scientists. Gel strength measurements include the use of texture analyzers or rheometers, which are not always available for seaweed growers and scientists. Here, we describe a home-made apparatus for assessing gel strength through the weight of a water column required for breaking a gel surface. The system worked well at gel concentrations between 0.5 and 1.5%, giving values of 82–535 g cm⁻² and 163–754 g cm⁻² for agar and agarose gels, respectively. The lowest variations were obtained for gel sample volumes between 25 and 30 mL. The system was manually operated but no significant variations were observed between measurements conducted by the five different users. The readings were independent of the water column fill rate. The variations in gel strength values were similar to reports using other gel strength measuring devices. We propose the use of our apparatus as a flexible, affordable tool for the assessment of gel quality, which is suitable for research groups or seaweed farmers without access to expensive equipment, and with a need to quickly assess their seaweed of interest at a relevant time scale for cultivation or harvest. Full article

This review highlights recent advances in the development of electrochemical sensors and biosensors for detecting pharmaceutical contaminants in water samples, including surface water, wastewater, and bottled water. The electrode modification materials—such as nanomaterials, conductive polymers, and eco-friendly nanocomposites—have shown notable improvements in sensor sensitivity and selectivity, enabling the detection of various pharmaceutical compounds, including diclofenac, ibuprofen, antibiotics, and hormones. Future research directions suggest the use of eco-friendly nanocomposites, the development of multiplexed platforms for simultaneous contaminant detection, and the integration of sensors into portable devices for in situ monitoring. Additionally, integrating biosensors with specific biomolecules and IoT technology can expand their applicability, enabling continuous and efficient water quality monitoring, thus supporting public health and environmental protection. Full article

‘Liuyuezao’ pummelo is highly prone to cracking, which seriously affects its quality. The aim of this study was to illustrate the effect of foliar sprays of calcium (Ca) and boron (B) and their combined treatments on the fruit cracking and quality of ‘Liuyuezao’ pummelos during the fruit expansion period (40–55 days after flowering). Analysis of 12 mineral elements of the pericarp by ICP-MS revealed that the three treatments significantly increased the content of calcium and boron in the corresponding pericarp. These treatments effectively reduced the enzyme activities of pectin methylesterase (PME), polygalacturonase (PG), pectin lyase (PL), β-galactosidase (β-Gal), and cellulase (Cx) in the peel and down-regulated the expression of corresponding cell wall-degrading enzyme genes. Calcium, boron, and their combination treatments reduced water-soluble pectin (WSP) in the peel. Simultaneously, they inhibited the degradation of CDTA-soluble pectin (CSP) and Na₂CO₃-soluble pectin (NSP), thereby stabilizing the cell wall structure. Additionally, these treatments enhanced fruit skin break force (Bf) and elasticity (Ela), ultimately decreasing the fruit cracking rate. Diversification analysis showed that Ca and B elements significantly increased the sugar and vitamin C (Vc) content of ‘Liuyuezao’ pummelo fruits and reduced their organic acid content, thus improving fruit quality. The study provides new ideas on the use of fertilizer interactions to control fruit cracking and improve the quality of the pummelo fruit. Full article

The integration of artificial intelligence (AI) agents with the Internet of Things (IoT) has marked a transformative shift in environmental monitoring and management, enabling advanced data gathering, in-depth analysis, and more effective decision making. This comprehensive literature review explores the integration of AI and IoT technologies within environmental sciences, with a particular focus on applications related to water quality and climate data. The methodology involves a systematic search and selection of relevant studies, followed by thematic, meta-, and comparative analyses to synthesize current research trends, benefits, challenges, and gaps. The review highlights how AI enhances IoT’s data collection capabilities through advanced predictive modeling, real-time analytics, and automated decision making, thereby improving the accuracy, timeliness, and efficiency of environmental monitoring systems. Key benefits identified include enhanced data precision, cost efficiency, scalability, and the facilitation of proactive environmental management. Nevertheless, this integration encounters substantial obstacles, including issues related to data quality, interoperability, security, technical constraints, and ethical concerns. Future developments point toward enhancements in AI and IoT technologies, the incorporation of innovations like blockchain and edge computing, the potential formation of global environmental monitoring systems, and greater public involvement through citizen science initiatives. Overcoming these challenges and embracing new technological trends could enable AI and IoT to play a pivotal role in strengthening environmental sustainability and resilience. Full article

Harmful algae blooms (HABs) pose critical threats to aquatic ecosystems and human economies, driven by their rapid proliferation, oxygen depletion capacity, toxin release, and biodiversity impacts. These blooms, increasingly exacerbated by climate change, compromise water quality in both marine and freshwater ecosystems, significantly affecting marine life and coastal economies based on fishing and tourism while also posing serious risks to inland water bodies. This article examines the role of hyperspectral imaging (HSI) in monitoring HABs. HSI, with its superior spectral resolution, enables the precise classification and mapping of diverse algae species, emerging as a pivotal tool in environmental surveillance. An array of HSI techniques, algorithms, and deployment platforms are evaluated, analyzing their efficacy across varied geographical contexts. Notably, hyperspectral sensor-based studies achieved up to 90% classification accuracy, with regression-based chlorophyll-a (Chl-a) estimations frequently reaching coefficients of determination ($R^2$) above 0.80. These quantitative findings underscore the potential of HSI for robust HAB diagnostics and early warning systems. Furthermore, we explore the current limitations and future potential of HSI in HAB management, highlighting its strategic importance in addressing the growing environmental and economic challenges posed by HABs. This paper seeks to provide a comprehensive insight into HSI’s capabilities, fostering its integration in global strategies against HAB proliferation. Full article

This work aimed to evaluate the effects of dried apple pomace (DAP) on the fermentation characteristics and proteolysis of alfalfa silages. The alfalfa was ensiled with (1) no additives (control), (2) 5% DAP, (3) 10% DAP and (4) 15% DAP based on fresh weight (FW) for 1, 3, 7, 14, 30 and 60 days, respectively. With the increasing proportion of DAP, lactic acid bacteria (LAB) count, lactic acid (LA) and dry matter (DM) content linearly (p < 0.05) increased, while the pH, the content of acetic acid (AA), propionic acid (PA), butyric acid (BA) and ammonia nitrogen (NH₃-N) linearly (p < 0.05) decreased during ensiling. The 10% and 15% DAP silages had significantly (p < 0.05) lower aerobic bacteria (AB), yeast and enterobacteria counts than the control during ensiling. The contents of nonprotein nitrogen (NPN), peptide nitrogen (peptide-N) and free amino acid nitrogen (FAA-N) and activities of carboxypeptidase, aminopeptidase and acid proteinase linearly (p < 0.05) decreased as DAP proportion increased during ensiling. On day 60, the addition of DAP significantly (p < 0.05) decreased the contents of tryptamine, phenylethylamine, putrescine, cadaverine, histamine, tyramine, spermidine, spermine and total biogenic amines compared with the control. As the DAP ratio increased, the contents of threonine, valine, isoleucine, leucine, phenylalanine, lysine, histidine, arginine, aspartic acid, serine, glutamic, total amino acids, crude protein (CP) and water-soluble carbohydrates (WSCs) linearly (p < 0.05) increased, while the contents of glycine, alanine, cysteine, and proline linearly (p < 0.05) decreased on day 60. Overall, the addition of 15% DAP was optimal as indicated by better fermentation quality and less proteolysis than other treatments. Full article

Water is critical for the sustenance of life and pH is an important parameter in monitoring its quality. Solid-state pH sensors provide a worthy alternative to glass-based electrodes due to many advantages such as low cost, longer shelf life, simpler manufacturing, easier operation, miniaturization, and integration into electronic systems. Cobalt oxides are relatively cheaper and more abundantly available than ruthenium oxide. This work aims to reduce the environmental impact of screen-printed pH sensors by mixing Co₃O₄ and RuO₂ in five molar proportions (30%, 40%, 50%, 60%, and 70%) and investigating the influence of oxide proportions on the pH-sensing properties of the resulting composition using potentiometric characterization, scanning electron microscopy, X-ray diffraction, surface profilometry, and electron dispersive spectroscopy. Although all the developed compositions showed super- or near-Nernstian sensitivity with good linearity, the sensors based on 50 mol% Co₃O₄-50 mol% RuO₂ were the best due to superior sensitivity, selectivity, and stability. Fabricated sensors were applied in real-life environmental, municipal, and commercial water samples, including those from various depths in the Baltic Sea, and were found to be accurate in comparison to a glass electrode. Full article

Water quality is a crucial determinant in decision-making processes aimed at optimizing resource allocation across various industries. Pollutant impurities that hinder the sufficient supply of water have a deleterious impact on the quality and are damaging to living species, especially aquatic life. Various chemical and biological treatments are used to reduce water pollution levels. A technology involving a mixture of anaerobic and aerobic beneficial microbes is becoming popular for its eco-friendly characteristics. Effective Microorganism (EM) technology utilizes naturally existing microorganisms that can purify and restore the environment. The study investigated the application of Effective Microorganism-Activated Solution (EMAS), TeMo Decomposer (TeMo), and Lactic Acid Bacteria (LAB) to enhance water quality. Additionally, microbial testing will be carried out to identify bacteria present in each EM. EM-based rehabilitation of polluted and degraded water bodies significantly contributes to the restoration of aquatic habitats and ecosystems. This study aimed to assess the water quality at Tasik Alumni, Kampus Pauh, Perlis, Malaysia. Four sampling points in Tasik Alumni were chosen to reflect the water quality status of the lake. The sampling was conducted once at four points locations in Tasik Alumni. Seven water quality measures, including pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), ammoniacal nitrogen (NH₃-N), total suspended solid (TSS), and turbidity, were analysed ex-situ and categorised according to Water Quality Index (WQI) and National Water Quality Standard (NWQS) classifications. The Tasik Alumni was categorised as mildly contaminated. The results clearly showed the efficiency of this technique in restoring and conserving water quality in a degraded or polluted lake. Full article