Search Results (1,800)

A small-scale (up to 5 kWe) biogas-solid oxide fuel cell (SOFC) energy system is an envisioned system, which can be used to meet both electrical and thermal energy demand of off-grid settlements. SOFC systems are reported to be more efficient than alternatives like internal combustion engines (ICE). In addition to energy recovery, implementation of biogas-SOFC systems can enhance sanitation among these settlements. However, the capital investment costs and the operation and maintenance costs of a biogas-SOFC energy system are currently higher than the existing alternatives. From previous works, H₂S removal by biochar was proposed as a potential local cost-effective alternative. This research demonstrates the techno-economic potential of locally produced biochars made from cow manure, jackfruit leaves, and jack fruit branches in rural Uganda for purifying the biogas prior to SOFC use. Results revealed that the use of biochar from cow manure and jack fruit leaves can reduce H₂S to below the desired 1 ppm and substitute alternative biogas treatments like activated carbon. These experimental results were then translated to demonstrate how this biochar would improve the economic feasibility for the implementation of biogas-SOFC systems. It is likely that the operation and maintenance cost of a biogas-SOFC energy system can in the long run be reduced by over 80%. Also, the use of internal reforming as opposed to external reforming can greatly reduce the system capital cost by over 25% and hence further increase the chances of system economic feasibility. By applying the proposed cost reduction strategies coupled with subsidies such as tax reduction or exemption, the biogas-SOFC energy system could become economically competitive with the already existing technologies for off-grid electricity generation, like solar photovoltaic systems. Full article

The enormous increase in the volume of waste caused by the population boom in cities is placing a considerable burden on waste processing in cities. The inefficiency and high costs of conventional approaches exacerbate the risks to the environment and human health. This article proposes a thorough approach that combines deep learning models, IoT technologies, and easily accessible resources to overcome these challenges. Our main goal is to advance a framework for intelligent waste processing that utilizes Internet of Things sensors and deep learning algorithms. The proposed framework is based on Raspberry Pi 4 with a camera module and TensorFlow Lite version 2.13. and enables the classification and categorization of trash in real time. When trash objects are identified, a servo motor mounted on a plastic plate ensures that the trash is sorted into appropriate compartments based on the model’s classification. This strategy aims to reduce overall health risks in urban areas by improving waste sorting techniques, monitoring the condition of garbage cans, and promoting sanitation through efficient waste separation. By streamlining waste handling processes and enabling the creation of recyclable materials, this framework contributes to a more sustainable waste management system. Full article

This study analyzed the relevance of governance structure for efficient revenue collection by Brazilian water utilities (WUs). Data were collected from the National Information System on Sanitation (SNIS) for 127 Brazilian WUs, covering a balanced longitudinal panel from 2018 to 2022. The governance structures evaluated included ownership (public or private) and corporatization (publicly traded or not). We searched scientific databases and did not find any studies on the efficiency of specific WUs in collecting customer bills for services rendered and its relationship with this type of governance; thus, this is the main innovative contribution of this study to the literature. In the first stage, this study utilized the dynamic slack-based model (DSBM) to assess revenue collection efficiency. In the second stage, an econometric model with generalized estimating equation (GEE) was used to explain the efficiency. The findings revealed a global average inefficiency in revenue collection of 50.47%. Corporatization was linked to higher collection efficiencies, while ownership type was significantly linked with lower collection efficiency. Factors such as tariff accessibility, urbanization, and the COVID-19 pandemic also influenced efficiency. This study suggests that regulatory bodies should consider these insights to implement policies that prevent inefficiencies from affecting the tariff system for services. Full article

Enterohemorrhagic Escherichia coli (EHEC) outbreaks have been frequently linked to the consumption of produce. Furthermore, produce grown on organic farms possess a higher risk, as the farmers avoid antibiotics and chemicals. This study sets out to evaluate the effectiveness of advanced postharvest disinfection processes using berry pomace extracts (BPEs) in reducing EHEC load in two common leafy greens, spinach and lettuce. Spinach and lettuce were inoculated with ~5 log CFU/leaf EHEC EDL-933 and then treated with three different concentrations of BPE (1, 1.5, and 2 gallic acid equivalent, GAE mg/mL) for increasing periods of time. After the wash, the bacteria were quantified. Changes in the relative expression of virulence genes and the genes involved in cell division and replication and response against stress/antibiotics were studied. We observed a significant reduction in EHEC EDL933, ranging from 0.5 to 1.6 log CFU/spinach leaf (p < 0.05) washed with BPE water. A similar trend of reduction, ranging from 0.3 to 1.3 log CFU/mL, was observed in pre-inoculated lettuce washed with BPE water. We also quantified the remaining bacterial population in the residual treatment solutions and found the survived bacterial cells (~3 log CFU/mL) were low despite repeated washing with the same solution. In addition, we evaluated the phenolic concentration in leftover BPE, which did not change significantly, even after multiple uses. Alterations in gene expression levels were observed, with downregulation ranging from 1 to 3 log folds in the genes responsible for the adhesion and virulence of EHEC EDL933 and significant upregulation of genes responsible for survival against stress. All other genes were upregulated, ranging from 2 to 7 log folds, with a dose-dependent decrease in expression. This finding shows the potential of BPE to be used for sanitation of fresh produce as a natural and sustainable approach. Full article

The Water Quality Index (WQI) is a tool designed to provide a singular figure representing the overall water quality status of a water body. This study applies Malaysia WQI, National Sanitation Foundation WQI (NSFWQI) and statistical analysis to investigate the impact of diverse pollution sources on the Brunei River’s water quality, a critical aquatic ecosystem affected by the rapid escalation of urbanization, industrial activities, and agricultural runoff. Principal component analysis (PCA), expert judgement, and correlation analysis were used to propose parameters for developing Brunei River’s WQI. Eight monitoring stations were selected to analyze 16 water quality parameters (pH, water temperature (T), dissolved oxygen (DO), oxidation-reduction potential (ORP), chemical oxygen demand (COD), the five-day biochemical oxygen demand (BOD₅), salinity, electrical conductivity (EC), total dissolved solids (TDS), turbidity, total suspended solids (TSS), ammoniacal-nitrogen (NH₃-N), fecal coliform (FC), total coliform (TC), phosphate and nitrate (NO₃⁻) in this study. The results showed that NSFWQI classified the Brunei River as moderately polluted, while Malaysia (WQI) status was classified as slightly polluted except for Station Q around the quarry area. Statistical analysis revealed that the primary pollution sources are anthropogenic activities such as quarrying, domestic waste, and agricultural and urban runoff. Other specific areas of concern with low WQI and significant pollution levels are situated at Kampong Ayer Stations (N and J) due to proximal anthropogenic activities. The proposed water quality parameters for developing Brunei River’s WQI are pH, DO, EC, FC, NO₃⁻, BOD₅, T, TSS, turbidity and phosphate. This study addresses the current pollution status of the Brunei River and sets a precedent for future research emphasizing collaborative data-driven strategies for water quality management. Full article

The adoption of new energy vehicles (NEVs) is an effective strategy for pollution reduction, especially for high-emitting commercial vehicles. This paper systematically reviews the promotion policies and development status of zero-emission commercial vehicles (ZECVs) in China, with a focus on diverse application scenarios. Comprehensive policies, including subsidies, right-of-way, infrastructure development, and environmental protection incentives, have significantly advanced NEV adoption, as demonstrated by Shenzhen’s full electrification of buses and the extensive deployment of zero-emission trucks. Despite the overall slow development of ZECVs, regions in southern China and developed areas exhibit better progress. Medium and large passenger vehicles (MLPVs) have achieved a zero-emission rate of around 40%, contrasting with the significantly lower rates of 1.52% for mini and light trucks (MLTs) and 0.44% for medium and heavy trucks (MHTs). Electrification promotion varies significantly in different application scenarios, with buses leading at over 90% zero-emission rates, followed by the airport (24%) and port (16%) vehicles. The electrification of sanitation, logistics, and key industry transport, through lagging, is enhanced by targeted policies and local industry. Buses are designated as the highest priority (Level 1) for electrification transition while intercity logistics and vehicles in key industries are categorized as the lowest priority (Level 4). In addition, policy recommendations, including tailored strategies for ZECV promotion and emission reductions in traditional commercial vehicles, are put forward to provide guidance and reference for setting future zero-emission promotion goals and policy direction for commercial vehicles in subdivided application scenarios. Full article

Opportunistic pathogenic microbial infections pose a significant danger to human health, which forces people to use riskier, more expensive, and less effective drugs compared to traditional treatments. These may be attributed to several factors, such as overusing antibiotics in medicine and lack of sanitization in hospital settings. In this context, researchers are looking for new options to combat this worrying condition and find a solution. Nanoparticles are currently being utilized in the pharmaceutical sector; however, there is a persistent worry regarding their potential danger to human health due to the usage of toxic chemicals, which makes the utilization of nanoparticles highly hazardous to eukaryotic cells. Multiple nanoparticle-based techniques are now being developed, offering essential understanding regarding the synthesis of components that play a crucial role in producing anti-microbial nanotherapeutic pharmaceuticals. In this regard, green nanoparticles are considered less hazardous than other forms, providing potential options for avoiding the extensive harm to the human microbiome that is prevalent with existing procedures. This review article aims to comprehensively assess the current state of knowledge on green nanoparticles related to antibiotic activity as well as their potential to assist antibiotics in treating opportunistic clinical phytopathogenic illnesses. Full article

This research explores the application of digital twin technologies to progress the United Nations’ Sustainable Development Goals (SDGs) within the water-energy-food-environment (WEFE) nexus management in urban refugee areas. The study in Irbid Camp utilizes a detailed 3D Revit model combined with real-time data and community insights processed through advanced machine learning algorithms. An examination of 450 qualitative interviews indicates an 80% knowledge level of water conservation practices among the community but only 35% satisfaction with the current management of resources. Predictive analytics forecast a 25% increase in water scarcity and an 18% surge in energy demand within the next ten years, prompting the deployment of sustainable solutions such as solar energy installations and enhanced rainwater collection systems. By simulating resource allocation and environmental impacts, the digital twin framework helps in planning urban development in line with SDGs 6 (Clean Water and Sanitation), 7 (Affordable and Clean Energy), 11 (Sustainable Cities and Communities), and 12 (Responsible Consumption and Production). This investigation highlights the capacity of digital twin technology to improve resource management, increase community resilience, and support sustainable urban growth, suggesting its wider implementation in comparable environments. Full article

This study investigated the climatic risks and vulnerabilities of informal settlements in the Global South, as well as the extent to which these risks impact the vulnerabilities. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2009 methodology and deductive content analysis, this study critically examined 69 documents, including 28 scholarly journal articles obtained from Scopus and ScienceDirect and 41 web-based releases identified through the Google search engine and snowballing technique. Document inclusion criteria focused on the relevance to climate risks and vulnerabilities, excluding non-peer-reviewed, non-English, and unreliable sources, as well as irrelevant studies. Seven major climate risks impacting informal settlements were identified: floods (44), temperature changes (41), storms (31), sea level rise (30), drought (28), rainfall (23), and landslides (14). The primary vulnerabilities highlighted were poor housing conditions (64), health risks (50), lack of basic services (49), inadequate sanitation (41), inadequate hygiene (39), and limited access to water (38). The combination of vulnerabilities and climate risks creates considerable direct, indirect, and low-level threats to informal settlements. Despite Asia, Africa, and Latin America’s vulnerability, most studies focused on formal and developed areas. The findings highlight the critical need for climate adaptation strategies in informal settlements of the Global South to ensure the United Nations Sustainable Development Goals (SDGs) are met. Full article

Background: Over the past few decades, epidemic outbreaks and disease occurrences have become more frequent and widespread in Africa, posing challenges for poor countries in the region and impacting vulnerable populations. Limited resources, inadequate healthcare infrastructure, socioeconomic inequalities, malnutrition, mass gatherings, and lack of proper sanitation and hygiene contribute to Africa’s high burden of epidemics and infectious diseases such as cholera, measles, monkeypox, Ebola viral disease, and COVID-19. This paper reviewed epidemic outbreaks and diseases transmitted through intimate contact in Africa and their impacts on vulnerable populations. Methods: A narrative review approach was adopted to gather and analyze the relevant literature on epidemic outbreaks in African sub-regions. The review encompassed causes, transmission patterns, demographic impact, community susceptibility, preventive measures, and psychosocial risk-taking behaviors. Results: This study emphasizes the importance of addressing the causes of response lapses and the resulting human, material, and economic losses in the region. Effective preventive measures include disease surveillance, early mitigation strategies, contact tracing, personal protective measures, improved political and public health leadership, and socioeconomic equity. However, the review highlights challenges in implementing these measures effectively due to limited resources, delayed detection, and difficulties in scaling up response solutions. Conclusions: There is a need for a comprehensive approach involving health departments, infrastructure development, and addressing socioeconomic factors. Full article

Within the evolving regulatory landscape of the European Union concerning animal by-product (ABP) management within the circular economy framework, this study explores the concurrent objectives of safeguarding public health and environmental integrity and maximizing final product value. Anaerobic digestion (AD) emerges as a holistic solution for ABP management, addressing sanitation concerns while enhancing end-product quality. Through laboratory-scale experimentation, the AD process applied to four substrates—poultry manure, swine manure, cattle manure, and food waste—is scrutinized. Prior to AD, pasteurization at 70 °C for 60 min ensures microbial safety. Subsequently, four experimental AD cycles compare pasteurized and unpasteurized substrates. Results highlight the efficacy of pasteurization in sanitizing final products across all substrates, emphasizing its pivotal role in product safety. However, pasteurization’s impact on system performance varies. While enhancing biogas yield from animal waste notably, its influence on food waste biogas production is less pronounced, indicating substrate-specific dynamics. This study offers insights into optimizing ABP management strategies, emphasizing the interplay between pasteurization, substrate characteristics, and AD performance. Such insights are crucial for advancing sustainable practices in the circular economy paradigm, balancing environmental stewardship with economic viability. Full article

Pomegranate (Punica granatum L.) is considered a functional food due to its polyphenol content that benefits the body. The type of processing the fruit undergoes is important, as this also influences the concentrations of these compounds. The pomegranate juice was extracted by two methods: manual extraction using a manual juicer through heat treatment in a water bath (Man-P), and extraction through mechanical pressing using Good Nature X-1 equipment and hyperbaric sanitization (Mech-Hyp). Bromatological analyses showed significant differences (p ≤ 0.05) between the two treatments. When subjected to hyperbaric sanitization, the juice showed higher concentrations of moisture, soluble solids, protein, and carbohydrates. In an antioxidant analysis, the ABTS radical showed no significant difference in the treatments, with 96.99% inhibition. For the DPPH radical, the sample with the highest inhibition was Man-P with 98.48%. The determination of phenols showed that there was a higher concentration in juice that underwent pasteurization (104.566 mg GAE/mL). However, the Mech-Hyp treatment exhibited a minor concentration of phenols with 85.70 mg GAE/mL. FTIR spectra revealed that the functional groups were mainly associated with carbohydrates. Regarding ACE inhibition, it was observed that the Man-P and Mech-Hyp juices showed greater inhibition of enzyme in hypertensive patients compared to normotensive patients. This activity can be attributed to the mechanisms of action of antioxidant compounds. Both extraction methods manual and mechanical pressing resulted in increased antioxidant and antihypertensive activity. The antioxidant compounds accompanied by adequate sanitation were decisive in an antimicrobial analysis, since no pathogenic microorganisms were observed in the juices. Full article

This study was conducted using data from the SCAALA (Social Change Asthma and Allergy in Latin America) cohort in Brazil from 2005 to 2013. We examined the seroprevalence and risk factors of toxocariasis, a parasitic infection leading to conditions such as visceral larva migrans, utilizing an indirect ELISA with T. canis antigens, alongside with data from questionnaires, eosinophil counts, sIgE to aeroallergens, IL-10 levels, and Skin Prick Test results; the research provided insights into the disease’s dynamics. The prevalence of anti-Toxocara spp. IgG increased from 48% to 53% over the studied period, with a 25% increase in new cases in 2013. The significant risk factors included age and pet exposure, while higher maternal education and living on paved streets were found to offer protection. The study uncovered a complex interaction between Toxocara spp. infection and the immune system, indicating that the infection could both trigger inflammation and modulate skin reactions. Based on these findings, the study proposed a roadmap for controlling toxocariasis, which includes strategies such as enhancing public education about the disease and preventive measures, improving environmental sanitation, strengthening veterinary control measures like pet deworming, increasing access to healthcare and screening, and implementing community-based interventions to address the identified risk factors. These measures aim to reduce the prevalence of toxocariasis and its impact on public health by addressing environmental and socioeconomic risk factors, providing a pathway to significantly reduce the burden of this parasitic infection. Full article

Wheat powdery mildew is a fungal disease that significantly impacts wheat yield and quality. Controlling this disease requires the use of resistant varieties, fungicides, crop rotation, and proper sanitation. Precision agriculture focuses on the strategic use of agricultural inputs to maximize benefits while minimizing environmental and human health effects. Object detection using computer vision enables selective spraying of pesticides, allowing for targeted application. Traditional detection methods rely on manually crafted features, while deep learning-based methods use deep neural networks to learn features autonomously from the data. You Look Only Once (YOLO) and other one-stage detectors are advantageous due to their speed and competition. This research aimed to design a model to detect powdery mildew in wheat using digital images. Multiple YOLOv8 models were trained with a custom dataset of images collected from trial areas at Tekirdag Namik Kemal University. The YOLOv8m model demonstrated the highest precision, recall, F1, and average precision values of 0.79, 0.74, 0.770, 0.76, and 0.35, respectively. Full article

This study presents a comprehensive analysis of the critical issue of water insecurity and its multifaceted impact on and relationship to the human rights and environmental justice conditions within Rohingya refugee camps located in New Delhi, India. A comprehensive mixed-methods approach was employed to investigate water-related challenges within a refugee camp in Madanpur Khadar, region in Delhi. Qualitative methods including focused group discussions and one-on-one household interviews were conducted to allow residents’ perceptions from diverse groups and examine their experiences. Structured surveys were administered to gather quantitative data on water access, sanitation, health, and socio-economic factors. Additionally,, literature surveys and document archival research provided contextual insights. This study underscores the pressing water, sanitation, and hygiene (WaSH) challenges faced by Rohingya refugees in the area, revealing irregular water supply, impacting residents’ daily lives and hygiene practices. The majority of families in the camp, with an average of 6 members in each family, can only collect 30–40 L of water to meet all their needs, from consumption to personal hygiene, which is significantly insufficient. This situation has resulted in severe health consequences for the camp residents. Alarmingly, over 90% of the female respondents reported experiencing issues such as urinary infections. This paper gives a comprehensive analysis of the multidimensionality of rights that intersect with and are affected by WaSH issues. The poor WaSH conditions in the camp directly hinder the fulfillment of fundamental human rights. It not only disrupts the basic sanitation need but has negative economic repercussions and causes mental distress. This study concludes by targeted recommendations aimed at improving the conditions prevailing within the camp. Full article