Environmental Quality Management最新文献

{"title":"From Pollution Exposure to Health and Economic Loss: Micro-Level Evidence From Industrial Zones in Bangladesh","authors":"Shahanara Basher,&nbsp;Abdullahil Mamun,&nbsp;Harun Bal,&nbsp;Nazamul Hoque,&nbsp;Mahi Uddin,&nbsp;Berk Palandokenlier","doi":"10.1002/tqem.70469","DOIUrl":"https://doi.org/10.1002/tqem.70469","url":null,"abstract":"<div>\u0000 \u0000 <p>Rapid industrialization has significantly contributed to economic growth in developing countries, but it has also generated substantial environmental externalities, particularly air pollution. This study investigates the micro-level relationship between pollution exposure, health outcomes, and household economic burden among communities living near industrial zones in Bangladesh. Using primary survey data from 520 respondents located near the Chattogram Export Processing Zone (EPZ), the analysis constructs a pollution exposure index based on proximity to industrial activity, visible emissions, outdoor exposure, and household ventilation conditions. Health impacts are measured using a composite morbidity index capturing both self-reported symptoms and medically diagnosed conditions. The study employs Ordinary Least Squares (OLS) to estimate the relationship between pollution exposure and morbidity, and a Generalized Linear Model (GLM) with a Gamma distribution and log link to analyze healthcare expenditure. The results show that higher pollution exposure is significantly associated with higher morbidity levels, even after controlling for socioeconomic and demographic factors. Moreover, increased exposure is associated with higher household healthcare expenditure, with morbidity acting as a key transmission channel. A one-unit increase in pollution exposure is associated with an approximate 20–25 percent increase in expected medical spending. These findings highlight how industrial pollution imposes significant health and economic burdens on respondents residing near industrial zones and underscore the need for stronger environmental regulation, cleaner industrial technologies, and improved public health interventions to mitigate pollution-related risks.</p>\u0000 <p>JEL Classification: 15, Q53, Q56</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 4","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146627","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}

{"title":"Maximising Liquid Fuel Production From Waste Polystyrene Pyrolysis: Comparing Response Surface Methodology and Artificial Neural Network Modelling","authors":"Tesfaye Kassaw Bedru,&nbsp;Radwan Walid Hassan,&nbsp;Selvaganapathy T,&nbsp;Senthil Kumar Arumugasamy,&nbsp;Mani Jayakumar","doi":"10.1002/tqem.70472","DOIUrl":"https://doi.org/10.1002/tqem.70472","url":null,"abstract":"<div>\u0000 \u0000 <p>Waste polystyrene is a major environmental problem due to its high production rate and resistance to natural breakdown. This study examines converting waste polystyrene into liquid fuel through batch pyrolysis, focusing on process optimisation and predictive modelling. The feedstock was characterised using proximate, ultimate and thermogravimetric analyses, confirming high volatile content and favourable thermal degradation suitable for pyrolysis. Response Surface Methodology with a Central Composite Design was used to study the effects of feedstock weight, particle size, reaction temperature and residence time on liquid fuel yield. An Artificial Neural Network model was separately developed to predict fuel yield across varying operating conditions. The RSM model identified optimal conditions at 567.7 g feed weight, 490°C, 86.7 min residence time and 2.0 mm particle size, giving a maximum liquid fuel yield of 78.09% with strong statistical agreement. The ANN model, trained using multiple algorithms, showed high predictive accuracy, with the Scaled Conjugate Gradient algorithm performing best (overall R = 0.931; testing R² = 0.960, MSE = 4.87, RMSE = 2.21, MAE = 1.93). The RSM model achieved a higher R² of 0.9999 and a lower RMSE of 0.0746, confirming better fitting accuracy, while ANN predictions remained reliable. Fuel characterisation using FTIR and GC-MS confirmed aliphatic and aromatic hydrocarbons, with density and calorific value comparable to commercial liquid fuels. Overall, the results show RSM offers stronger optimisation capability while ANN provides dependable yield prediction, highlighting the combined value of statistical and machine learning methods for waste polystyrene valorisation.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 4","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146628","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}

{"title":"Pyrethroids in Sustainable Environment: A Natural Product for Crop Protection","authors":"Krishnendu Sen,&nbsp;Sk Saruk Islam,&nbsp;Kalyanbrata Pal,&nbsp;Subhas Patar,&nbsp;Sudip Bhattacharya,&nbsp;Subrata Dutta,&nbsp;Kuntal Ghosh,&nbsp;Suman Kumar Halder","doi":"10.1002/tqem.70466","DOIUrl":"https://doi.org/10.1002/tqem.70466","url":null,"abstract":"<div>\u0000 \u0000 <p>Plant pests result severe economic losses, food insecurity and decreases the quality of agricultural products. Predominantly, usage of chemical pesticides is still being a widely adopted approach and measures among all the management approaches. The widely used synthetic chemical pesticides viz., organophosphate, organochlorine and carbamate compounds have varying degrees of mammalian toxicity. Alternatively, pyrethroids are synthetic analogues of the natural bioactive compounds pyrethrins, which are phyto-secondary metabolites extracted from the dried flowers of <i>Chrysanthemum cinerariaefolium</i> and <i>Chrysanthemum coccineum</i>. These compounds are widely used as domestic and commercial insecticides and account for approximately 17% of the global agrochemical market. Depending on the structure and functional properties, pyrethroid compounds are categorized under two types: type I and II. In respect to mammalian toxicity, type I pyrethroids are less toxic than type II. Recently, United State Environmental Protection Agency (EPA) registered 18 different pyrethroid pesticides for use on human consumable domestic crops. These compounds are non-persistent sodium channel modulators and are not as much of toxic as carbamates and organophosphates. Pyrethroids contributed a major role in the increment of the 20^th century's agricultural crop productivity. This review vividly explains the development and biological intervention of pyrethroid compounds having insecticidal activity in plant protection. The chronological progress of research and evolution of new pyrethroid derivatives and their pros and cons are also summarized. Although synthetic pyrethroids (SPs) represent a promising and comparatively safer alternative in modern crop protection, comprehensive research on their resistance mechanisms, target specificity, and microbial biodegradation is essential to ensure their sustainable and environmentally responsible use. In future, added focus and endeavor are still required to obtain some more potential and safe natural insecticides to mitigate the demand for safe agricultural production and organic cultivation.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 4","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149029020","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}

{"title":"Engineering the “Forever Chemicals” Exit: Destructive Technologies for PFAS Mineralization Beyond Adsorption and Containment","authors":"Timoth Mkilima","doi":"10.1002/tqem.70456","DOIUrl":"https://doi.org/10.1002/tqem.70456","url":null,"abstract":"<div>\u0000 \u0000 <p>Per- and polyfluoroalkyl substances (PFAS) are exceptionally persistent environmental contaminants for which conventional adsorption and containment processes provide aqueous-phase removal without eliminating the underlying organofluorine hazard. This critical integrative review evaluates destructive PFAS treatment through evidence on reaction mechanism, parent-compound disappearance, partial degradation, defluorination, full mineralization, energy demand, byproduct formation, matrix effects, and deployment maturity. The technologies examined comprise electrochemical oxidation, advanced oxidation-reduction processes that generate hydrated electrons, non-thermal plasma, supercritical water oxidation, sonolysis, and thermal or hydrothermal routes. Adsorption is treated objectively as an essential concentration step in integrated concentrate-and-destroy treatment trains rather than as a terminal remediation process. To improve cross-technology comparison, the review introduces Organofluorine Conversion Efficiency, which quantifies conversion of organically bound fluorine to recovered inorganic fluoride without implying destruction of elemental fluorine, together with fluorine mass-balance closure, specific energy consumption, electric energy per order, and byproduct verification. A nine-level PFAS Destruction Readiness Level framework is also formalized using explicit criteria for analytical confirmation, matrix realism, continuous operation, energy and cost evidence, residual management, independent validation, and regulatory acceptance. The synthesis shows that advanced reduction and cooperative redox pathways can overcome limitations of hydroxyl-radical-dominated oxidation for selected PFAS, but performance remains strongly matrix- and scale-dependent. The proposed framework provides regulators, utilities, researchers, and technology developers with a consistent basis for distinguishing molecular disappearance from verified, deployable mineralization.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 3","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048292","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}

{"title":"In Vivo Studies for Removal and Biodegradation of Glyphosate and Tricyclazole Using Biobeds","authors":"Garima Sethi,&nbsp;Dhruba Marak,&nbsp;Renu Saini,&nbsp;Tirthankar Banerjee,&nbsp;Rajesh Kumar,&nbsp;Neera Singh","doi":"10.1002/tqem.70467","DOIUrl":"https://doi.org/10.1002/tqem.70467","url":null,"abstract":"<div>\u0000 \u0000 <p>Laboratory setup of biobeds was used to degrade sequentially applied glyphosate and tricyclazole. Biobeds prepared using glyphosate pre-exposed soil, without (BM) and with wheat straw biochar [WBCBM(1%) and WBCBM(5%)], inoculated with glyphosate degrading <i>Bacillus piscis</i>, were used in the study. Glyphosate (5000 µg) and tricyclazole (5000 µg) were applied in 100 mL water at a difference of 2 months. Periodic pesticide residues estimation in surface 2.5 cm biomixture suggested that 0 time residues of glyphosate of 44.21, 45.33, and 45.97 µg g⁻¹ in BM, WBCBM(1%), and WBCBM(5%) were degraded to 5.61, 0.65, and 7.06 µg g⁻¹ after 2 months, respectively. Similarly, initial surface residues of tricyclazole of 32.44, 33.30, and 31.77 µg g⁻¹ in respective biobeds decreased to 7.79, 2.22, and 1.13 µg g⁻¹, respectively after 2 months. After 5 months experiment was discontinued and pesticide residues in surface, middle, and bottom 5 cm sections of biobeds were estimated. No residues of glyphosate and metabolite aminomethylphosphonic acid (AMPA) were detected in BM and WBCBM(1%) biobeds, while 7.37% of initially applied glyphosate as glyphosate + AMPA remained undegraded in WBCBM(5%). Complete tricyclazole degradation was observed in WBCBM(5%) biobed, while 14.71% and 2.10% tricyclazole was undegraded in BM and WBCBM(1%) biobeds, respectively. Thus, wheat straw biochar's dose had varying effect on degradation of glyphosate and tricyclazole. The study suggested that bioaugmented biomixtures prepared using glyphosate pre-exposed soil and biochar can be exploited for detoxification of these pesticides in bio-purification systems.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 3","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048293","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}

{"title":"Strategizing Reclaimed Water Use in Metro Manila: A Hybrid Hierarchical DEMATEL–BWM Analysis of Adoption Barriers","authors":"Joshua Bon A. Roco,&nbsp;Michael Angelo B. Promentilla","doi":"10.1002/tqem.70470","DOIUrl":"https://doi.org/10.1002/tqem.70470","url":null,"abstract":"<div>\u0000 \u0000 <p>Amid growing water scarcity in Metro Manila, Philippines, the country is exploring the use of wastewater treatment plant effluents as an alternative potable water source through reclaimed water use (RWU). However, no prior study has systematically mapped the causal interrelationships among multidimensional RWU adoption barriers in the Philippine context. Classical DEMATEL applied directly to complex systems imposes a substantial cognitive burden on respondents. This study developed implementation strategies for RWU using a hybrid decision-making framework that integrates the Hierarchical Decision-Making Trial and Evaluation Laboratory (h-DEMATEL) and the Best–Worst Method (BWM). The hybridization process involved weighting the prominence and relation values from h-DEMATEL with the relative importance scores derived from BWM. Findings reveal that effective communication with stakeholders and the public is the most critical intervention, as it addresses key perceptual barriers, namely, lack of awareness and the disgust factor. Equally important is ensuring the integrity of RWU systems to mitigate public health concerns. In contrast, governance and behavioral barriers were identified as low-impact and weakly connected within the system, suggesting they should be addressed in later phases of implementation. The hybrid h-DEMATEL–BWM approach proves to be a valuable strategic tool for guiding RWU adoption in Metro Manila. Future research may validate these findings through broader population surveys and explore additional context-specific barriers to enhance decision-making and policy design.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 3","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149047985","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}

{"title":"On-Site Application of Artificial Intelligence to Sludge Dewatering for the Optimization of Flocculant Dosage","authors":"Pengzhe Sui,&nbsp;Junta Takahashi,&nbsp;Santisak Kitjanukit,&nbsp;Yasuko Shinjo,&nbsp;Kazuaki Shimamura","doi":"10.1002/tqem.70465","DOIUrl":"https://doi.org/10.1002/tqem.70465","url":null,"abstract":"<div>\u0000 \u0000 <p>Sludge dewatering is an essential process in sludge disposal to reduce its volume and improve the efficiency of final disposal. Artificial intelligence (AI) models for the dewatering of night-soil sludge and digested sludge were developed in this study using laboratory experimental data with belt filter presses, and all models showed excellent prediction accuracy on both test dataset and new dataset with a correlation coefficient more than 0.9. Model interpretation by Shapley additive explanations indicated that the dosage method of poly-ferric sulfate was the most important factor in all models, and fiber-like content and dosage of poly-ferric sulfate ranked second for night-soil sludge and digested sludge, respectively. On-site case study with screw presses demonstrated that the optimized polymer dosages determined by AI models were in good accordance with the observed ones, which highlight the potential applicability of developed AI models to different types of sludge dewatering machines for the optimization of flocculant dosage. It was supposed that the optimized polymer dosage could be primarily determined by sludge characteristics rather than the type of dewatering machines used. However, further investigation is needed to assess the applicability of these models to other types of sludge dewatering machines, such as centrifuges.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 3","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149047927","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}

{"title":"Machine Learning Aided Global Meta-Analysis of Microplastic Polymer Composition in Agriculture Soil, Urban Soil, and Wetland Sediments","authors":"Abhinab Borah,&nbsp;Madhuraj Palat Kannankai,&nbsp;Riya Kumbukattu Alex,&nbsp;Kesiya Kattukkaran,&nbsp;Suja Purushothaman Devipriya","doi":"10.1002/tqem.70463","DOIUrl":"https://doi.org/10.1002/tqem.70463","url":null,"abstract":"<div>\u0000 \u0000 <p>Microplastic (MP) pollution is a global environmental problem that harms aquatic and terrestrial ecosystems. The present study performs a critical meta-analysis of available literature on the polymer composition of MP polymers in soils in agricultural lands, urban soil, and wetland sediments globally. The study investigated the pattern of MP polymers in multiple environments using a systematic literature review and data mining methods, such as the Apriori algorithm and Random Forest analysis. Polypropylene (PP) and polyethylene (PE) are the most widespread polymers within all known compartments, with each region possessing a distinct polymer profile due to human activities. The study highlights the importance of wetlands in MP assemblages as sinks and transitional zones where polymer degradation and land-to-water transport evidence exists. The study also recommends policies to reduce MP pollution in terrestrial ecosystems. These results highlight the ecological threats the prevailing polymers pose and confirm the necessity of implementing monitoring protocols and policy measures to reduce environmental MP contamination.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 3","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149047928","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}

{"title":"Comparative Sustainability of Waste-Derived Palm Biodiesel: An Environment-Food-Energy-Water Nexus Review Integrating Life Cycle and Techno-Economic Analyses","authors":"Nasuha Abu Yazid,&nbsp;Mohamad Razlan Md Radzi,&nbsp;Nor Adilla Rashidi,&nbsp;Noridah Osman","doi":"10.1002/tqem.70459","DOIUrl":"https://doi.org/10.1002/tqem.70459","url":null,"abstract":"<div>\u0000 \u0000 <p>Due to rising demand for diesel as the preferred fuel for heavy-duty transportation and industrial machinery, the palm oil industry has been expanding substantially over the past few decades. Besides producing palm oil, the industry also generates a vast amount of waste (dry and wet), which can be processed into biodiesel. Numerous technologies have been discovered and are currently being explored to convert both oil-palm and palm-oil wastes into biodiesel, driven by the global demand for alternatives and sustainable fuel/energy supplies. To further develop these technologies, it is crucial to understand the current stage of the industry and corresponding technological advancements. The primary objectives of this paper are to provide an overview of the palm oil industry, examine the technologies available to generate oil palm and palm oil residues into biodiesel, as well as drawbacks that need to be addressed for future progression. This review adopts a systematic approach by analyzing published research articles and industrial reports related to biodiesel production from palm-derived wastes. Comparative evaluations are performed using techno-economic assessment (TEA), life cycle analysis (LCA), as well as research and development (R&amp;D) criteria to identify current performance gaps and future optimization needs. From environmental perspective, palm oil mill effluent (POME)-based system achieved low to very low greenhouse gas (GHG) emissions, 69% lower Global Warming Potential (GWP) than commercial B30 diesel. TEA indicates that waste cooking oil (WCO)-based is highly profitable in short term, yielding a 74.2% Return on Investment (ROI) and rapid payback period of 1.07 years, compared to POME-based systems that require a longer recovery period of 3.5 to 5.21 years. Overall, these findings offer further insights into the sustainability of using palm-based wastes for biodiesel production and support for the development of greener conversion technologies through targeted improvement strategies.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 3","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149047931","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}

{"title":"Sustainable Valorization of Citrus aurantiifolia Peel: Recent Advances in Functional Food, Nutraceutical, and Industrial Applications","authors":"Sony Kumari,&nbsp;Jishu Raj Chetia,&nbsp;Tasqeen Khan,&nbsp;Saeed Taj,&nbsp;Penna Suprasanna,&nbsp;Rahel Debbarma","doi":"10.1002/tqem.70461","DOIUrl":"https://doi.org/10.1002/tqem.70461","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Citrus aurantiifolia</i> (Christm.) Swingle, commonly known as lime, is one of the most widely cultivated citrus fruits owing to its economic significance, nutritional value, and diverse health-promoting properties. The rapid expansion of citrus processing industries has resulted in the generation of substantial quantities of by-products, accounting for nearly 50% of the total fruit mass, primarily comprising peels, seeds, pomace, and fibrous residues. Among these, lime peel represents the largest fraction and is a rich source of bioactive constituents, like flavonoids, phenolic compounds, essential oils, pectin, dietary fiber, carotenoids, vitamins, and trace minerals. The recovery and utilization of these bioactive compounds are achieved through conventional techniques like solvent extraction, hydro distillation, and steam distillation, as well as novel green extraction approaches including ultra sound assisted extraction, microwave assisted extraction, enzyme assisted extraction, and supercritical fluid extraction. This review comprehensively summarizes recent developments in the valorization of <i>Citrus aurantiifolia</i> peel and other co-products, emphasizing innovative extraction technologies and circular economy strategies aimed at maximizing resource utilization. Furthermore, the review discusses the biological activities and functional properties of lime-derived compounds that includes antioxidant, antimicrobial, anti-inflammatory, and nutraceutical attributes, and their emerging applications in food, pharmaceutical, cosmetic, packaging, and so forth. Current advancements, challenges, and prospects are also highlighted in this review that provides valuable insights into transforming lime processing residues into high-value products, thereby contributing to sustainable development, environmental protection, and the advancement of bio-based industries.</p>\u0000 </div>","PeriodicalId":35327,"journal":{"name":"Environmental Quality Management","volume":"36 3","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149047929","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}