Pub Date : 2026-01-23DOI: 10.1016/j.wmb.2026.100283
Kim Rainer Mattson, Johan Berg Pettersen
Residual waste generation within municipal solid waste is characterized as a mix of various waste fractions that are either correctly or incorrectly discarded in residual bins. We denote this as residuals and assess its average and regional composition in Norway, based on the collection of 90 waste composition analysis. There is substantial variability between generation origins, and a clear pattern of lower food waste sorting in urban areas. Greenhouse gas emission of treating the various compositions with waste incineration were assessed, showing that CO2-equivalent emissions vary by up to 13% depending on waste origins, and estimate that approximately 54%, 55%, and 64% of rural, suburban, and urban residuals could potentially be recyclable, with a significant potential for reducing avoidable food waste. Successful implementation of the national “food waste avoidance” strategy could see the avoided generation and consequently production of 110kt of food for Norwegian households. Suggested improvements focus on convenient and clear sorting practices, better resolution on non-household residual compositions, and more multidisciplinary and regionalized research approaches.
{"title":"Regionalized composition analysis of Norwegian residual waste and its implications for recycling, emission accounting, and food waste avoidance","authors":"Kim Rainer Mattson, Johan Berg Pettersen","doi":"10.1016/j.wmb.2026.100283","DOIUrl":"10.1016/j.wmb.2026.100283","url":null,"abstract":"<div><div>Residual waste generation within municipal solid waste is characterized as a mix of various waste fractions that are either correctly or incorrectly discarded in residual bins. We denote this as residuals and assess its average and regional composition in Norway, based on the collection of 90 waste composition analysis. There is substantial variability between generation origins, and a clear pattern of lower food waste sorting in urban areas. Greenhouse gas emission of treating the various compositions with waste incineration were assessed, showing that CO<sub>2</sub>-equivalent emissions vary by up to 13% depending on waste origins, and estimate that approximately 54%, 55%, and 64% of rural, suburban, and urban residuals could potentially be recyclable, with a significant potential for reducing avoidable food waste. Successful implementation of the national “food waste avoidance” strategy could see the avoided generation and consequently production of 110kt of food for Norwegian households. Suggested improvements focus on convenient and clear sorting practices, better resolution on non-household residual compositions, and more multidisciplinary and regionalized research approaches.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100283"},"PeriodicalIF":0.0,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-22DOI: 10.1016/j.wmb.2026.100281
Juan Carlos Rodriguez Lopez , Enrique Vigueras Santiago , N. García-González , V.H. Castrejón-Sánchez , Marco Camacho-López , Susana Hernández López
The development of advanced materials with tailored properties has long been a cornerstone of technological innovation. Increasingly, attention is shifting toward the transformation of end-of-life waste into valuable resources. Spent alkaline batteries, when improperly disposed of as electronic waste (e-waste), pose significant environmental hazards due to their content of toxic metals, which can leach into soil and groundwater. These metals may also undergo physicochemical transformations through interactions with other waste materials. This study investigates the anode recovered from spent alkaline batteries discharged to varying residual voltages. The recovery process involved manual separation, followed by washing with deionized water, filtration, and drying at 50 °C for 48 h prior to characterization. The resulting particles exhibited photoluminescent properties that correlated with the residual voltage of the batteries. Structural analysis revealed the coexistence of Zinc and Zinc Oxide (Zn/ZnO) phases at voltages above 0.78 V, while only ZnO was present below this threshold. The ZnO content was found to depend on the degree of battery depletion, with the residual voltage directly influencing the Zn/ZnO phase ratio.
{"title":"Study of the phase composition (Zn, ZnO) of anodes recovered from spent alkaline batteries, with respect to their residual voltage","authors":"Juan Carlos Rodriguez Lopez , Enrique Vigueras Santiago , N. García-González , V.H. Castrejón-Sánchez , Marco Camacho-López , Susana Hernández López","doi":"10.1016/j.wmb.2026.100281","DOIUrl":"10.1016/j.wmb.2026.100281","url":null,"abstract":"<div><div>The development of advanced materials with tailored properties has long been a cornerstone of technological innovation. Increasingly, attention is shifting toward the transformation of end-of-life waste into valuable resources. Spent alkaline batteries, when improperly disposed of as electronic waste (e-waste), pose significant environmental hazards due to their content of toxic metals, which can leach into soil and groundwater. These metals may also undergo physicochemical transformations through interactions with other waste materials. This study investigates the anode recovered from spent alkaline batteries discharged to varying residual voltages. The recovery process involved manual separation, followed by washing with deionized water, filtration, and drying at 50 °C for 48 h prior to characterization. The resulting particles exhibited photoluminescent properties that correlated with the residual voltage of the batteries. Structural analysis revealed the coexistence of Zinc and Zinc Oxide (Zn/ZnO) phases at voltages above 0.78 V, while only ZnO was present below this threshold. The ZnO content was found to depend on the degree of battery depletion, with the residual voltage directly influencing the Zn/ZnO phase ratio.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100281"},"PeriodicalIF":0.0,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-16DOI: 10.1016/j.wmb.2026.100282
Kassé Jean Hugues Angbé , Dennis Krüger , Volker Lenz , Satyanarayana Narra
West Africa is a key player in cocoa cultivation, accounting for approximately 70% of world cocoa bean production. However, cocoa pod husk (CPH), an important by-product, remains largely underutilized. Therefore, this study provides the first comprehensive, multi-country assessment of CPH generation across seven major West African cocoa-producing countries namely Côte d'Ivoire, Ghana, Nigeria, Sierra Leone, Liberia, Guinea, and Togo over a 20-year period. It further assesses current management pathways and their environmental implications, with an evaluation of biochar as valorization approach. The data used in this study was gathered through field surveys and quantitative secondary data from FAOSTAT. Methane (CH4) emissions from decomposition of CPH were estimated based on IPCC methodologies, while biochar potential and carbon sequestration capacity were determined using established equations. The results showed that in 20 years, a total of 578 million tonnes of CPH were produced, with Côte d'Ivoire contributing the largest share with 331 million tonnes, followed by Ghana with 160 million tonnes. At present, on-farm abandonment remains the predominant management practice, emitting an estimated 17 million tonnes of carbon dioxide equivalent (CO2-eq) annually representing about 3% of Africa’s agricultural CH4 emissions. Conversion of this biomass into biochar represents a significant mitigation opportunity. The estimated annual production potential of CPH-biochar is 869 thousand tonnes, capable of sequestering about 1.59 million tonnes of CO2-eq per year. Adopting this approach could reduce greenhouse gas (GHG) emissions more than 18 million tonnes of CO2-eq, including avoided emissions and carbon sequestration. These findings highlight the importance of CPH-biochar production as a promising strategy for sustainable waste management.
{"title":"Harnessing cocoa waste for biochar production and emission reduction to promote sustainability in West Africa","authors":"Kassé Jean Hugues Angbé , Dennis Krüger , Volker Lenz , Satyanarayana Narra","doi":"10.1016/j.wmb.2026.100282","DOIUrl":"10.1016/j.wmb.2026.100282","url":null,"abstract":"<div><div>West Africa is a key player in cocoa cultivation, accounting for approximately 70% of world cocoa bean production. However, cocoa pod husk (CPH), an important by-product, remains largely underutilized. Therefore, this study provides the first comprehensive, multi-country assessment of CPH generation across seven major West African cocoa-producing countries namely Côte d'Ivoire, Ghana, Nigeria, Sierra Leone, Liberia, Guinea, and Togo over a 20-year period. It further assesses current management pathways and their environmental implications, with an evaluation of biochar as valorization approach. The data used in this study was gathered through field surveys and quantitative secondary data from FAOSTAT. Methane (CH<sub>4</sub>) emissions from decomposition of CPH were estimated based on IPCC methodologies, while biochar potential and carbon sequestration capacity were determined using established equations. The results showed that in 20 years, a total of 578 million tonnes of CPH were produced, with Côte d'Ivoire contributing the largest share with 331 million tonnes, followed by Ghana with 160 million tonnes. At present, on-farm abandonment remains the predominant management practice, emitting an estimated 17 million tonnes of carbon dioxide equivalent (CO<sub>2</sub>-eq) annually representing about 3% of Africa’s agricultural CH<sub>4</sub> emissions. Conversion of this biomass into biochar represents a significant mitigation opportunity. The estimated annual production potential of CPH-biochar is 869 thousand tonnes, capable of sequestering about 1.59 million tonnes of CO<sub>2</sub>-eq per year. Adopting this approach could reduce greenhouse gas (GHG) emissions more than 18 million tonnes of CO<sub>2</sub>-eq, including avoided emissions and carbon sequestration. These findings highlight the importance of CPH-biochar production as a promising strategy for sustainable waste management.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100282"},"PeriodicalIF":0.0,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-11DOI: 10.1016/j.wmb.2026.100280
Jisha J. , K. Martina Rani , Aldrin Joseph , Himakumari V. , Smrithi K.S. , B. Giri Babu
Despite increasing global concern for environmental sustainability, the adoption of recycled products remains limited, particularly in developing economies where consumer skepticism and entrenched purchasing habits persist. This study examines the key determinants influencing consumers’ intentions to purchase recycled products in alignment with Sustainable Development Goal 12 (Responsible Consumption and Production). Specifically, it analyzes the effects of environmental attitude, trust, perceived credibility, and perceived product quality on purchasing decisions. A structured questionnaire survey was administered to 315 urban consumers in India using purposive sampling. The findings reveal that environmental attitude is the most influential predictor of recycled product purchase intention, indicating that environmentally conscious consumers are more likely to engage in sustainable consumption. Trust and perceived credibility also significantly affect purchasing behavior, emphasizing the importance of authenticity and reputation in fostering acceptance of recycled products. Although perceived product quality has a comparatively weaker influence, it remains relevant in meeting expectations related to usability and design. The study contributes theoretically by integrating psychological, perceptual, and normative factors into an SDG 12–oriented behavioral framework. Practically, it provides insights for marketers and policymakers to enhance communication strategies, build consumer trust, and promote circular economy practices.
{"title":"Modelling consumer intent for purchase recycled products: a pathway to future sustainability","authors":"Jisha J. , K. Martina Rani , Aldrin Joseph , Himakumari V. , Smrithi K.S. , B. Giri Babu","doi":"10.1016/j.wmb.2026.100280","DOIUrl":"10.1016/j.wmb.2026.100280","url":null,"abstract":"<div><div>Despite increasing global concern for environmental sustainability, the adoption of recycled products remains limited, particularly in developing economies where consumer skepticism and entrenched purchasing habits persist. This study examines the key determinants influencing consumers’ intentions to purchase recycled products in alignment with Sustainable Development Goal 12 (Responsible Consumption and Production). Specifically, it analyzes the effects of environmental attitude, trust, perceived credibility, and perceived product quality on purchasing decisions. A structured questionnaire survey was administered to 315 urban consumers in India using purposive sampling. The findings reveal that environmental attitude is the most influential predictor of recycled product purchase intention, indicating that environmentally conscious consumers are more likely to engage in sustainable consumption. Trust and perceived credibility also significantly affect purchasing behavior, emphasizing the importance of authenticity and reputation in fostering acceptance of recycled products. Although perceived product quality has a comparatively weaker influence, it remains relevant in meeting expectations related to usability and design. The study contributes theoretically by integrating psychological, perceptual, and normative factors into an SDG 12–oriented behavioral framework. Practically, it provides insights for marketers and policymakers to enhance communication strategies, build consumer trust, and promote circular economy practices.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100280"},"PeriodicalIF":0.0,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-03DOI: 10.1016/j.wmb.2025.100279
R.M.H.N. Bandara, R.A.D.T. Ranathunga Arachchi, L.D.C. Gunasekara, N.A.T. De Zoysa, Anuja A. Lokeshwara, Chapa S.R.B. Refaie
In the modern competitive business environment, sustainability has become the key theme in organisational performance (OP), compelling organisations to adopt environmentally friendly operations in the business world. The hotel industry is a significant contributor to national economies, and it is steadily incorporating green practices to improve operational efficiency and reduce environmental impact. Though green supply chain management (GSCM) has been a subject of significant interest in manufacturing and logistic settings, GSCM in the hospitality industry, particularly in developing nations such as Sri Lanka, is still a largely unexplored area. To bridge this gap, the current study investigates the relationship between GSCM practices and OP with a particular focus on the moderating effects of hotel star classification. A cross-sectional, deductive research design was used, and Partial Least Squares Structural Equation Modelling (PLS-SEM) was the method of analysis. A web-based survey of 167 star-class hotels in Sri Lanka gained a high response rate of 88.44%. GSCM practices were represented as a second-order construct with five dimensions: eco design, green purchasing, internal environment management, investment recovery, and reverse logistics. The findings reveal that GSCM practices have a significant positive impact on OP. However, the star ratings of the hotels had no significant effect on this relationship, meaning the positive impact of GSCM practices are consistent across the industry. This finding indicates the need to investigate additional moderating variables such as ownership patterns and environmental certifications. Future comparative studies in various Asian nations with different cultural, legislative, and market settings may advance our understanding of GSCM practices in hospitality industry.
{"title":"The Green Pulse of Hospitality: Assessing Green Supply Chain Practices on Organisational Performance in the Sri Lankan Hotel Industry","authors":"R.M.H.N. Bandara, R.A.D.T. Ranathunga Arachchi, L.D.C. Gunasekara, N.A.T. De Zoysa, Anuja A. Lokeshwara, Chapa S.R.B. Refaie","doi":"10.1016/j.wmb.2025.100279","DOIUrl":"10.1016/j.wmb.2025.100279","url":null,"abstract":"<div><div>In the modern competitive business environment, sustainability has become the key theme in organisational performance (OP), compelling organisations to adopt environmentally friendly operations in the business world. The hotel industry is a significant contributor to national economies, and it is steadily incorporating green practices to improve operational efficiency and reduce environmental impact. Though green supply chain management (GSCM) has been a subject of significant interest in manufacturing and logistic settings, GSCM in the hospitality industry, particularly in developing nations such as Sri Lanka, is still a largely unexplored area. To bridge this gap, the current study investigates the relationship between GSCM practices and OP with a particular focus on the moderating effects of hotel star classification. A cross-sectional, deductive research design was used, and Partial Least Squares Structural Equation Modelling (PLS-SEM) was the method of analysis. A web-based survey of 167 star-class hotels in Sri Lanka gained a high response rate of 88.44%. GSCM practices were represented as a second-order construct with five dimensions: eco design, green purchasing, internal environment management, investment recovery, and reverse logistics. The findings reveal that GSCM practices have a significant positive impact on OP. However, the star ratings of the hotels had no significant effect on this relationship, meaning the positive impact of GSCM practices are consistent across the industry. This finding indicates the need to investigate additional moderating variables such as ownership patterns and environmental certifications. Future comparative studies in various Asian nations with different cultural, legislative, and market settings may advance our understanding of GSCM practices<!--> <!-->in<!--> <!-->hospitality industry.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100279"},"PeriodicalIF":0.0,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-22DOI: 10.1016/j.wmb.2025.100277
Md.Nasir Uddin , Tanzeena Refat Tumpa , Mohammad Rashel Hawlader , G.M. Faysal , Ahmed Jalal Uddin
The growing demand for sustainable textiles has prompted research into fiber blends that reduce environmental impact without compromising product performance. This study focuses on creating a sustainable tri-blend yarn consisted of recycled cotton, recycled polyester, and Tencel fibers. Recycled cotton replaces virgin cotton, recycled polyester enables the reuse of PET bottle and textile waste, and Tencel—derived from sustainably sourced wood pulp—enhances softness, comfort and tensile properties. MATLAB was used to perform Multiple Linear Regression (MLR) analysis to determine the optimal blend ratio that maximizes recycled fiber content while ensuring required yarn characteristics for fabric production. Based on Extreme Vertices Design, twenty-nine yarn samples with varying blend ratios were produced. Their quality parameters were evaluated, and the impacts of fiber composition on yarn properties were analyzed using Multiple Linear Regression (MLR) models. The MLR models generated predictive equations for each yarn parameter and performed blend optimization through two approaches: criteria-based optimization, which minimized yarn unevenness and imperfections while maximizing tensile properties, and target-based optimization, which aligned blends with the specific requirements of buyer or consumer. Validation of the optimized blends confirmed the model’s predictive reliability, with deviations between predicted and actual values remaining below 5%.
对可持续纺织品日益增长的需求促使人们研究在不影响产品性能的情况下减少对环境影响的纤维混纺。本研究的重点是创造一种可持续的三混纺纱线，由再生棉、再生聚酯和天丝纤维组成。再生棉取代了纯棉，再生聚酯使PET瓶和纺织废料得以再利用，而来自可持续来源的木浆的天丝纤维增强了柔软、舒适和拉伸性能。利用MATLAB进行多元线性回归（Multiple Linear Regression， MLR）分析，确定在保证织物生产所需纱线特性的同时，最大限度地提高回收纤维含量的最佳混纺比例。基于极限顶点设计，生产了29种不同混纺比的纱线样品。利用多元线性回归（MLR）模型分析了纤维组成对纱线性能的影响。MLR模型为每个纱线参数生成预测方程，并通过两种方法进行共混优化：基于标准的优化，在最大限度地提高拉伸性能的同时最大限度地减少纱线不匀和缺陷；基于目标的优化，使共混物符合买方或消费者的具体要求。优化混合物的验证证实了模型的预测可靠性，预测值与实际值之间的偏差保持在5%以下。
{"title":"Advancing circular Textiles: MLR-Based optimization of tri-blend Melange yarns from sustainable fibers","authors":"Md.Nasir Uddin , Tanzeena Refat Tumpa , Mohammad Rashel Hawlader , G.M. Faysal , Ahmed Jalal Uddin","doi":"10.1016/j.wmb.2025.100277","DOIUrl":"10.1016/j.wmb.2025.100277","url":null,"abstract":"<div><div>The growing demand for sustainable textiles has prompted research into fiber blends that reduce environmental impact without compromising product performance. This study focuses on creating a sustainable tri-blend yarn consisted of recycled cotton, recycled polyester, and Tencel fibers. Recycled cotton replaces virgin cotton, recycled polyester enables the reuse of PET bottle and textile waste, and Tencel—derived from sustainably sourced wood pulp—enhances softness, comfort and tensile properties. MATLAB was used to perform Multiple Linear Regression (MLR) analysis to determine the optimal blend ratio that maximizes recycled fiber content while ensuring required yarn characteristics for fabric production. Based on Extreme Vertices Design, twenty-nine yarn samples with varying blend ratios were produced. Their quality parameters were evaluated, and the impacts of fiber composition on yarn properties were analyzed using Multiple Linear Regression (MLR) models. The MLR models generated predictive equations for each yarn parameter and performed blend optimization through two approaches: criteria-based optimization, which minimized yarn unevenness and imperfections while maximizing tensile properties, and target-based optimization, which aligned blends with the specific requirements of buyer or consumer. Validation of the optimized blends confirmed the model’s predictive reliability, with deviations between predicted and actual values remaining below 5%.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100277"},"PeriodicalIF":0.0,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Organic waste accumulation poses a significant environmental challenge, necessitating effective waste management strategies. The black soldier fly serves as a beneficial insect, aiding in waste reduction and animal feed production, while its frass contributes to sustainable soil improvement. Therefore, this study is aimed to investigate the bioconversion efficiency, growth performance, longevity, waste reduction, and nutritional composition of Hermetia illucens (Black soldier fly; BSF) larvae reared on five different urban organic wastes: restaurant waste, vegetable waste, fruit waste, kitchen waste, and butchery chicken waste following completely randomized design (CRD) with five urban waste treatment and four replications. The results revealed the highest larval growth rate and bioconversion found on restaurant waste 12.02 ± 0.47 mg/day and 6.97 ± 0.15 % respectively. Larva reared on butchery chicken waste showed highest larval mortality (76.02 ± 0.42 %) and life cycle duration (57 days). Also, the highest decomposition rate of waste was found on kitchen waste (0.73 ± 0.02) and fruit waste (0.72 ± 0.009). The highest waste reduction rate was found on kitchen waste (73.66 ± 2.70 %) and restaurant waste (62 ± 0.94 %). Larvae reared on restaurant waste exhibited highest crude protein content (37 ± 0.44 %DM), whereas highest crude fat was found on larva reared on butchery chicken waste (47.4 ± 0.64 %DM). The study highlights how BSF can efficiently decrease waste quantities and transform nutrient-balanced urban organic wastes into high-value biomass. The most promising substrates for large-scale BSF rearing and circular bio economy applications in developing nations like Nepal were found to be kitchen and restaurant wastes.
{"title":"Valorisation of organic wastes through black soldier fly (Hermetia illucens) Larvae: Impacts on Growth, nutritional Composition, and bioconversion efficiency","authors":"Pawan Chapagaee , Sandesh Thapa , Sushil Shrestha , Bigyan Puri , Anup Ghimire , Dipak Raj Bist , Lokendra Khatri , Adhiraj Kunwar","doi":"10.1016/j.wmb.2025.100278","DOIUrl":"10.1016/j.wmb.2025.100278","url":null,"abstract":"<div><div>Organic waste accumulation poses a significant environmental challenge, necessitating effective waste management strategies. The black soldier fly serves as a beneficial insect, aiding in waste reduction and animal feed production, while its frass contributes to sustainable soil improvement. Therefore, this study is aimed to investigate the bioconversion efficiency, growth performance, longevity, waste reduction, and nutritional composition of <em>Hermetia illucens</em> (Black soldier fly; BSF) larvae reared on five different urban organic wastes: restaurant waste, vegetable waste, fruit waste, kitchen waste, and butchery chicken waste following completely randomized design (CRD) with five urban waste treatment and four replications. The results revealed the highest larval growth rate and bioconversion found on restaurant waste 12.02 ± 0.47 mg/day and 6.97 ± 0.15 % respectively. Larva reared on butchery chicken waste showed highest larval mortality (76.02 ± 0.42 %) and life cycle duration (57 days). Also, the highest decomposition rate of waste was found on kitchen waste (0.73 ± 0.02) and fruit waste (0.72 ± 0.009). The highest waste reduction rate was found on kitchen waste (73.66 ± 2.70 %) and restaurant waste (62 ± 0.94 %). Larvae reared on restaurant waste exhibited highest crude protein content (37 ± 0.44 %DM), whereas highest crude fat was found on larva reared on butchery chicken waste (47.4 ± 0.64 %DM). The study highlights how BSF can efficiently decrease waste quantities and transform nutrient-balanced urban organic wastes into high-value biomass. The most promising substrates for large-scale BSF rearing and circular bio economy applications in developing nations like Nepal were found to be kitchen and restaurant wastes.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100278"},"PeriodicalIF":0.0,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-21DOI: 10.1016/j.wmb.2025.100276
Denis M. Silayo , Mary Kulwijila , Abiud J. Bongole
Food waste (FdW) undermines food security both directly and indirectly by disrupting sustainable food systems. Understanding the root causes of FdW and its effects across multiple dimensions is crucial. Despite extensive global research, studies focusing on Household Food Waste (HFdW) in Tanzania remain limited. This study addresses that gap by analyzing the determinants of FdW generation across combinations of Food Groups (FGs) in Dodoma, Tanzania. A cross-sectional survey of 402 households was conducted to collect data on FdW-related behaviors and preferences. Principal Component Analysis (PCA) with varimax rotation was applied to reduce dimensionality, revealing that Cereals, Legumes & Pulses, and Roots & Tubers contributed most strongly to the retained components that capture the main variation in HFdW patterns. Each group was then dichotomized into high or low waste based on the median, and the resulting binary indicators were combined to create eight possible FdW patterns, representing all combinations of waste intensity across the three groups. These FdW patterns formed the dependent variable in a Multinomial Probit Regression Model (MPRM). The model revealed that demographic factors such as higher education, female-headed, and older households were associated with lower HFdW. Behavioural practices, including meal planning and leftover reuse, also reduced waste, while attitudinal factors such as greater awareness of FdW impacts further reinforced this effect. In contrast, weaker perceptions of money value were linked to higher FdW levels. The findings highlight the importance of behavioral and contextual factors in shaping HFdW. Policymakers should consider targeted strategies such as meal planning support, storage and handling education, and gender-responsive interventions to reduce FdW and enhance food security in Tanzania and other low-resource settings.
{"title":"Household food waste across multiple food groups in Dodoma, Tanzania: A Multinomial Probit approach","authors":"Denis M. Silayo , Mary Kulwijila , Abiud J. Bongole","doi":"10.1016/j.wmb.2025.100276","DOIUrl":"10.1016/j.wmb.2025.100276","url":null,"abstract":"<div><div>Food waste (FdW) undermines food security both directly and indirectly by disrupting sustainable food systems. Understanding the root causes of FdW and its effects across multiple dimensions is crucial. Despite extensive global research, studies focusing on Household Food Waste (HFdW) in Tanzania remain limited. This study addresses that gap by analyzing the determinants of FdW generation across combinations of Food Groups (FGs) in Dodoma, Tanzania. A cross-sectional survey of 402 households was conducted to collect data on FdW-related behaviors and preferences. Principal Component Analysis (PCA) with varimax rotation was applied to reduce dimensionality, revealing that Cereals, Legumes & Pulses, and Roots & Tubers contributed most strongly to the retained components that capture the main variation in HFdW patterns. Each group was then dichotomized into high or low waste based on the median, and the resulting binary indicators were combined to create eight possible FdW patterns, representing all combinations of waste intensity across the three groups. These FdW patterns formed the dependent variable in a Multinomial Probit Regression Model (MPRM). The model revealed that demographic factors such as higher education, female-headed, and older households were associated with lower HFdW. Behavioural practices, including meal planning and leftover reuse, also reduced waste, while attitudinal factors such as greater awareness of FdW impacts further reinforced this effect. In contrast, weaker perceptions of money value were linked to higher FdW levels. The findings highlight the importance of behavioral and contextual factors in shaping HFdW. Policymakers should consider targeted strategies such as meal planning support, storage and handling education, and gender-responsive interventions to reduce FdW and enhance food security in Tanzania and other low-resource settings.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100276"},"PeriodicalIF":0.0,"publicationDate":"2025-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-21DOI: 10.1016/j.wmb.2025.100274
Ronilo P. Antonio
The growing crisis of microplastic pollution poses serious environmental and public health challenges, yet despite Asia’s central role in plastic leakage and research growth, its scholarly landscape over the past decade remains unmapped. This study addresses this gap by conducting a comprehensive bibliometric analysis of 3,797 Scopus-indexed articles published between 2015 and 2025, employing an integrated approach that combines performance analysis, co-citation analysis, and co-word analysis using VOSviewer software. The results reveal an exponential surge in research output since 2019, with China, India, and Indonesia emerging as key contributors. Citation analysis highlights seminal works on atmospheric transport, soil contamination, and human ingestion as influential drivers of the field. Co-citation mapping identifies four intellectual clusters, mainly foundational conceptual frameworks, environmental pathways, global plastics accounting, and ecological impacts. Meanwhile co-word analysis uncovers three thematic domains: pollution sources and detection, ecological and biological effects, and environmental fate and transport. Overlay visualization further demonstrates a temporal shift from early descriptive and methodological studies toward interdisciplinary, solution-oriented research integrating ecological risk assessment and human health concerns. By synthesizing a decade of scholarship, this study provides a critical evidence base for guiding future research priorities and informs risk assessment strategies, policy design, and global governance efforts aimed at mitigating the escalating microplastics crisis.
{"title":"Tracking the plastic footprint: a bibliometric mapping of microplastics research in Asia (2015–2025)","authors":"Ronilo P. Antonio","doi":"10.1016/j.wmb.2025.100274","DOIUrl":"10.1016/j.wmb.2025.100274","url":null,"abstract":"<div><div>The growing crisis of microplastic pollution poses serious environmental and public health challenges, yet despite Asia’s central role in plastic leakage and research growth, its scholarly landscape over the past decade remains unmapped. This study addresses this gap by conducting a comprehensive bibliometric analysis of 3,797 Scopus-indexed articles published between 2015 and 2025, employing an integrated approach that combines performance analysis, co-citation analysis, and co-word analysis using VOSviewer software. The results reveal an exponential surge in research output since 2019, with China, India, and Indonesia emerging as key contributors. Citation analysis highlights seminal works on atmospheric transport, soil contamination, and human ingestion as influential drivers of the field. Co-citation mapping identifies four intellectual clusters, mainly foundational conceptual frameworks, environmental pathways, global plastics accounting, and ecological impacts. Meanwhile co-word analysis uncovers three thematic domains: pollution sources and detection, ecological and biological effects, and environmental fate and transport. Overlay visualization further demonstrates a temporal shift from early descriptive and methodological studies toward interdisciplinary, solution-oriented research integrating ecological risk assessment and human health concerns. By synthesizing a decade of scholarship, this study provides a critical evidence base for guiding future research priorities and informs risk assessment strategies, policy design, and global governance efforts aimed at mitigating the escalating microplastics crisis.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"4 1","pages":"Article 100274"},"PeriodicalIF":0.0,"publicationDate":"2025-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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