Environmental Technology & Innovation最新文献_第7页

Nitrogen-loaded biochar for environmental management: Enhancing nitrogen utilization balance in farmland, mitigating ammonia volatilization, and improving fertilizer efficiency

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2024.104006

Hongyang Chen , Hanmi Zhou , Yang Sun , Xiaolong Liu , Qi Wu , Daocai Chi

Although biochar was widely applied to improve crop yield, it can also trigger increased ammonia volatilization, thereby deteriorating the environment of rice paddies. Therefore, to continuously supply available nitrogen (N) and mitigate ammonia volatilization in rice fields, a two-year field experiment was conducted with nitrogen-loaded biochar (NLB) combined with less N fertilizer. The treatments included 10 or 20 t·ha⁻¹ NLB+ 100 % urea (T1, T2); 10 or 20 t·ha⁻¹ NLB+ 75 % urea (T3, T4); and a control with 100 % urea without NLB (CK). Results indicated the ammonia volatilization accumulation of T3 and T4 treatments was significantly reduced by 13.30–20.96 % compared to CK treatment. T2 treatment significantly increased rice yield by 6.94–11.15 % and 1000-grain weight by 9.78–11.59 %, while the T4 treatment maintained rice yield, due to NLB effectively N compensating and promoting the formation of 1000-grain weight and panicle numbers. Under T4 N management, crop growth and yield were promoted primarily because stable N release better matched the N demands of rice plants in later growth stages. The slow-release N persisted over 30 days in the later stages, increasing soil NH₄⁺-N by 13.72 %. The N nutrition index (NNI) of T2, T3, and CK was far from 1, while T4’s NNI was close to 1, indicating that T4 provided an optimal N supply. In conclusion, the combination of NLB and 75 % N fertilizer effectively mitigated ammonia volatilization in rice paddies and maintains yield stability. This study provided a benefit guidance for agricultural environmental protection in Northeast China.

虽然生物炭被广泛应用于提高作物产量，但它也会导致氨挥发增加，从而恶化稻田环境。因此，为了持续供应可用氮（N）并减少稻田中的氨挥发，我们使用含氮生物炭（NLB）结合较少的氮肥进行了为期两年的田间试验。处理包括 10 或 20 吨/公顷-1 NLB+100% 尿素（T1、T2）；10 或 20 吨/公顷-1 NLB+75% 尿素（T3、T4）；以及不施 NLB 的 100% 尿素对照（CK）。结果表明，与 CK 处理相比，T3 和 T4 处理的氨挥发积累显著减少了 13.30-20.96%。T2 处理使水稻产量提高了 6.94-11.15 %，千粒重提高了 9.78-11.59 %，而 T4 处理则保持了水稻产量，这是由于 NLB 有效地补偿了氮，促进了千粒重和圆锥花序数的形成。在 T4 氮肥管理下，作物的生长和产量得到了提高，这主要是因为稳定的氮释放能更好地满足水稻植株在生长后期对氮的需求。缓释氮在后期持续 30 天，使土壤中的 NH4+-N 增加了 13.72%。T2、T3 和 CK 的氮营养指数（NNI）远低于 1，而 T4 的 NNI 接近 1，表明 T4 提供了最佳的氮供应。总之，NLB 和 75% 氮肥的组合能有效缓解稻田中的氨挥发，并保持稳定的产量。该研究为东北地区的农业环境保护提供了有益的指导。

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引用次数: 0

Eco-efficient cadmium(II) removal from water using alcohol distillate waste: A study of life cycle assessment

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2024.103916

Celia Sabando-Fraile, Marina Corral-Bobadilla, Rubén Lostado-Lorza, Fátima Somovilla-Gomez

This study investigates the use of exhausted grape pomace, a byproduct of alcohol distillation, as a biosorbent for use in removing cadmium(II) from wastewater, in line with principles of a circular economy. Cadmium in water presents substantial environmental and health risks. Conventional treatment methods are often costly and environmentally damaging. This research proposes the use of agro-industrial waste as a sustainable and economical alternative. The biosorption process was optimized with Box-Behnken Design and Response Surface Methodology an adjusting factor such as the cadmium concentration, biosorbent dosage, solution pH, and stirring time. The findings reveal that cadmium(II) removal improves with increased stirring time, reaching a 99 % removal rate at 134 min. Optimal conditions include a biosorbent dosage of 2.4 g, pH 4.7, and initial cadmium concentration of 55 mg/L. The biosorption process also increased the solution’s pH, ensuring compliance with wastewater discharge regulations. Two optimization scenarios were evaluated. One achieved a 99.99 % removal efficiency for maximum cadmium reduction, The second focused on cost-effectiveness and environmental impact, attaining 77.35 % removal. This scenario highlights reduced the environmental impact, thereby supporting the role of exhausted grape pomace as a viable and eco-friendly option for wastewater treatment. Life cycle analysis, using CML-IA mid-point and ReCiPe end-point indicators, further underscores the sustainability of this approach, affirming the potential of grape pomace to contribute to circular, resource-efficient wastewater management.

本研究根据循环经济的原则，探讨了如何利用酒精蒸馏的副产品--用完的葡萄渣作为生物吸附剂，去除废水中的镉（II）。水中的镉会对环境和健康造成严重危害。传统的处理方法往往成本高昂且破坏环境。这项研究提出利用农用工业废物作为一种可持续的经济替代方法。采用箱-贝肯设计和响应面方法对生物吸附过程进行了优化，调整了镉浓度、生物吸附剂用量、溶液 pH 值和搅拌时间等因素。研究结果表明，镉（II）的去除率随着搅拌时间的延长而提高，在 134 分钟时达到 99%。最佳条件包括生物吸附剂用量为 2.4 克，pH 值为 4.7，初始镉浓度为 55 毫克/升。生物吸附过程还提高了溶液的 pH 值，确保符合废水排放规定。对两种优化方案进行了评估。第一种方案实现了 99.99% 的去除率，最大程度地减少了镉的排放；第二种方案侧重于成本效益和环境影响，实现了 77.35% 的去除率。这种方案突出强调了减少对环境的影响，从而支持将用完的葡萄渣作为一种可行的、生态友好型的废水处理方案。利用 CML-IA 中点指标和 ReCiPe 终点指标进行的生命周期分析进一步强调了这种方法的可持续性，肯定了葡萄渣在促进循环、资源节约型废水管理方面的潜力。

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引用次数: 0

Sustainable cotton decolorization via reversible swelling of cellulosic fibers with N-methylmorpholine-N-oxide aqueous solutions

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2024.103940

Óscar Martínez-Rico, Lorena Villar, Olalla G. Sas, Ángeles Domínguez, Begoña González

The exponential growth of the global economy has propelled textile fiber production, creating a pressing issue of non-degradable waste textiles that has outpaced recycling technologies. This research focuses on addressing the challenges of dye removal from cotton garments to enable their reintegration into the production cycle. A quantitative separation of direct dyes from fibers without compromising their integrity and quality was achieved using aqueous N-methylmorpholine-N-oxide, which is capable of reducing the density of the fibers so that dyes can be extracted without damaging either, with efficiencies over 95 %. Characterization of the fabric by size-exclusion chromatography before and after extraction ensures structural integrity as the degrees of polymerization of the cotton fibers are not significantly reduced. The separated dye is completely isolated from the N-methylmorpholine-N-oxide aqueous solution and recovered with efficiencies that depend on the dye structure.

全球经济的指数式增长推动了纺织纤维的生产，造成了不可降解的废弃纺织品这一紧迫问题，其发展速度已经超过了回收技术的发展速度。这项研究的重点是解决从棉质服装中去除染料的难题，使其能够重新融入生产循环。使用 N-甲基吗啉-N-氧化物水溶液实现了直接染料与纤维的定量分离，同时不损害纤维的完整性和质量，这种方法能够降低纤维密度，从而在不损害纤维的情况下提取染料，效率超过 95%。由于棉纤维的聚合度不会显著降低，因此在萃取前后通过尺寸排阻色谱法对织物进行表征可确保结构的完整性。分离出的染料可从 N-甲基吗啉-N-氧化物水溶液中完全分离出来，其回收效率取决于染料结构。

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引用次数: 0

Development of lignin degradation method utilizing organic electrolytic reaction and its use as a plant growth inhibitor

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2025.104019

Yoshiyuki Uruma , Tsubasa Kojima , Hirofumi Maekawa

In this study, we developed an electrolytic reaction targeting the β-O-4 bond of lignin using inexpensive carbon electrodes and electrolytes. To verify the effectiveness of the electrolysis method for β-O-4 bonds, a simple lignin model with β-O-4 bonds similar to those of lignin was used to investigate the electrolysis conditions, analyze the degradation products, and clarify the degradation mechanism. The electrolysis experiments were then conducted using lignin samples derived from natural lignin in the same manner, and the obtained degradation products were analyzed to confirm the validity of the electrolysis method. We then conducted a plant growth test on kaiware daikon radish (radish radish radish) to investigate the effects of the degraded products on plant growth and confirm the functions and usefulness of the degraded products.

在这项研究中，我们利用廉价的碳电极和电解质开发了一种针对木质素β-O-4键的电解反应。为了验证该电解方法对 β-O-4 键的有效性，我们使用了一个简单的木质素模型，该模型的 β-O-4 键与木质素相似，我们利用该模型研究了电解条件，分析了降解产物，并阐明了降解机理。然后以同样的方法使用从天然木质素中提取的木质素样品进行了电解实验，并对得到的降解产物进行了分析，以确认电解方法的有效性。然后，我们在开化萝卜（萝卜）上进行了植物生长试验，以研究降解产物对植物生长的影响，并确认降解产物的功能和用途。

引用次数: 0

Targeted fortification of phenolic hydroxyl groups in humic acid to further enhance urea use efficiency in maize seedling

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2024.103953

Yingqiang Zhang , Shuiqin Zhang , Ji Xue , Bingqiang Zhao , Yanting Li , Meng Xu , Jiukai Xu , Jianyuan Jing , Liang Yuan

Phenolic hydroxyl group (ArOH) plays an important role in humic acid (HA) enhancing nitrogen (N) fertilizer efficiency. However, the content of ArOH in HA is usually low, while its traditional enriching modification are inefficient or even showed a potential toxicity risk. In this work, we developed a novel catalyst named CuO@Al₂O₃ enriched with mesopores and oxygen vacancies, and target-modified HA to increase its ArOH using a feasible mechanical catalytic method. The results showed that phenolic-rich HA (CuO@Al₂O₃-HA) were successfully prepared with 40 % higher ArOH content than HA, which was consistent with the 43.13 % increase in C-O/Ar-O content in XPS C1s spectra. Compared to RHA, CuO@Al₂O₃-HA had less tannin attributed to the Ar-C bond breakage catalyzed by CuO@Al₂O₃ to form ArOH. Subsequently, we prepared CuO@Al₂O₃-HA-enhanced urea (CuO@Al₂O₃-HAU), and found that CuO@Al₂O₃-HAU improved maize seedling growth by the elevation of leaf chlorophyll content (by 8.78 %) and lowering N loss by NH₃ volatilization inhibition (by 12.43 %), thus enhanced the biomass and N uptake of maize seedling by 11.29 % and 21.22 %, respectively, compared to RHA-enhanced urea (RHAU). Therefore, this study provided a method to enrich the ArOH content of HA, and a green approach for the upgrading of high-efficiency urea products.

酚羟基（ArOH）在腐植酸（HA）提高氮肥效率方面发挥着重要作用。然而，腐植酸中 ArOH 的含量通常较低，而传统的富集改性方法效率不高，甚至存在潜在的毒性风险。在这项工作中，我们开发了一种富含中孔和氧空位的新型催化剂 CuO@Al2O3，并采用可行的机械催化方法对 HA 进行靶向改性，以提高其 ArOH 含量。结果表明，成功制备出富含酚的 HA（CuO@Al2O3-HA），其 ArOH 含量比 HA 高 40%，这与 XPS C1s 光谱中 C-O/Ar-O 含量增加 43.13% 相一致。与 RHA 相比，CuO@Al2O3-HA 的单宁含量更低，这归因于 CuO@Al2O3 催化 Ar-C 键断裂形成 ArOH。随后，我们制备了 CuO@Al2O3-HA 增强尿素（CuO@Al2O3-HAU），发现 CuO@Al2O3-HAU 通过提高叶片叶绿素含量（8.78 %）和抑制 NH3 挥发降低氮素损失（12.43 %），因此与 RHA 增强尿素（RHAU）相比，玉米幼苗的生物量和氮素吸收量分别提高了 11.29 % 和 21.22 %。因此，本研究提供了一种富集 HA 中 ArOH 含量的方法，为高效尿素产品的升级提供了一种绿色途径。

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引用次数: 0

Metagenomic insights into the lignocellulose degradation mechanism during short-term composting of peach sawdust: Core microbial community and carbohydrate-active enzyme profile analysis

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2024.103959

Wei-Wei Zhang , Yu-Xin Guo , Qing-Jun Chen, Yi-Yang Wang, Qiu-Ying Wang, Ya-Ru Yang, Guo-Qing Zhang

Short-term composting, utilizing agricultural and forestry waste as raw materials, is a method for converting biomass waste into substrates for the production of high-value products. The microbial-driven degradation mechanism of lignocellulose in this process warrants further investigation. In the present study, an 11-day composting process was conducted using peach sawdust as the main raw material. To elucidate the degradation mechanism of lignocellulose, metagenomics analysis was performed on three samples selected according to the change of physicochemical properties. By the end of composting, cellulose, hemicellulose and lignin were degraded by 39.67 %, 38.67 % and 23.33 %, respectively. Microbial abundance analysis revealed that Pseudxanthomonas and Pseudomonas from Proteobacteria, along with Streptomyces and Saccharopolyspora from Actinobacteria dominated the composting process and were highly correlated with lignocellulosic degradation. Carbohydrate metabolism and amino acid metabolism were the most enriched pathways and genes belonging to CE1, CE4, AA3, AA7, CE3, AA4, GH3, GH1, GH2, AA1, etc. were the major carbohydrate- active enzymes (CAZymes) involved in lignocellulosic degradation. Streptomyces, Pseudoxanthomonas, Pseudomonas, Saccharopolyspora and Microbispora were identified as the main contributors to these pathways and CAZymes, suggesting their crucial roles in lignocellulose degradation. The identification of key CAZymes and microorganisms enhances our understanding of the mechanism of lignocellulosic degradation in short-term composting, which could be beneficial for improving efficiency.

{"title":"Metagenomic insights into the lignocellulose degradation mechanism during short-term composting of peach sawdust: Core microbial community and carbohydrate-active enzyme profile analysis","authors":"Wei-Wei Zhang , Yu-Xin Guo , Qing-Jun Chen, Yi-Yang Wang, Qiu-Ying Wang, Ya-Ru Yang, Guo-Qing Zhang","doi":"10.1016/j.eti.2024.103959","DOIUrl":"10.1016/j.eti.2024.103959","url":null,"abstract":"<div><div>Short-term composting, utilizing agricultural and forestry waste as raw materials, is a method for converting biomass waste into substrates for the production of high-value products. The microbial-driven degradation mechanism of lignocellulose in this process warrants further investigation. In the present study, an 11-day composting process was conducted using peach sawdust as the main raw material. To elucidate the degradation mechanism of lignocellulose, metagenomics analysis was performed on three samples selected according to the change of physicochemical properties. By the end of composting, cellulose, hemicellulose and lignin were degraded by 39.67 %, 38.67 % and 23.33 %, respectively. Microbial abundance analysis revealed that <em>Pseudxanthomonas</em> and <em>Pseudomonas</em> from Proteobacteria, along with <em>Streptomyces</em> and <em>Saccharopolyspora</em> from Actinobacteria dominated the composting process and were highly correlated with lignocellulosic degradation. Carbohydrate metabolism and amino acid metabolism were the most enriched pathways and genes belonging to CE1, CE4, AA3, AA7, CE3, AA4, GH3, GH1, GH2, AA1, etc. were the major carbohydrate- active enzymes (CAZymes) involved in lignocellulosic degradation. <em>Streptomyces, Pseudoxanthomonas, Pseudomonas, Saccharopolyspora</em> and <em>Microbispora</em> were identified as the main contributors to these pathways and CAZymes, suggesting their crucial roles in lignocellulose degradation. The identification of key CAZymes and microorganisms enhances our understanding of the mechanism of lignocellulosic degradation in short-term composting, which could be beneficial for improving efficiency.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103959"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning-based prediction of the C/N ratio in municipal organic waste

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2024.103977

Aliakbar Dehghan , Vahide Oskoei , Taherh Khajavi , Mansour Baziar , Mahmood Yousefi

Carbon-to-nitrogen (C/N) ratio plays a crucial role in managing organic waste in urban settings as it facilitates composting processes and nutrient reclamation. Encouraging composting and nutrient recovery aids in diminishing the waste disposal in landfills and mitigating the associated greenhouse gas emissions. This research uses machine learning techniques to predict carbon-to-nitrogen (C/N) ratio of organic waste present in municipal solid waste (MSW). The actual data, sourced from the Solid Waste Management Organization in Mashhad County, Iran consists of chemical analyses related to organic waste component in 17 cities. Factors such as percentage of organic waste, moisture content, ash content, pH level, and C/N ratio offer valuable information on the characteristics of organic waste. Cubic spline curve fitting is employed to interpolate the data, and subsequently, the dataset is partitioned into training and testing sets to aid in model development and evaluation. Five machine learning models (AdaBoost, Random Forest, Extra Trees, Decision Tree, and CatBoost) are utilized, and a systematic exploration of hyperparameters is conducted. The Extra Trees model exhibited outstanding accuracy, with R² values of 1.0 for the training phase and 0.97 for the testing phase, accompanied by minimal Mean Squared Error (MSE) values of 0 and 0.114, respectively. Furthermore, this investigation utilized SHAP analysis to examine the importance of features, uncovering that ash content (%) emerged as the most significant factor in forecasting the C/N ratio. Thus, the Extra Trees model emerges as a reliable instrument for forecasting the C/N ratio across 17 municipalities within Mashhad County.

{"title":"Machine learning-based prediction of the C/N ratio in municipal organic waste","authors":"Aliakbar Dehghan , Vahide Oskoei , Taherh Khajavi , Mansour Baziar , Mahmood Yousefi","doi":"10.1016/j.eti.2024.103977","DOIUrl":"10.1016/j.eti.2024.103977","url":null,"abstract":"<div><div>Carbon-to-nitrogen (C/N) ratio plays a crucial role in managing organic waste in urban settings as it facilitates composting processes and nutrient reclamation. Encouraging composting and nutrient recovery aids in diminishing the waste disposal in landfills and mitigating the associated greenhouse gas emissions. This research uses machine learning techniques to predict carbon-to-nitrogen (C/N) ratio of organic waste present in municipal solid waste (MSW). The actual data, sourced from the Solid Waste Management Organization in Mashhad County, Iran consists of chemical analyses related to organic waste component in 17 cities. Factors such as percentage of organic waste, moisture content, ash content, pH level, and C/N ratio offer valuable information on the characteristics of organic waste. Cubic spline curve fitting is employed to interpolate the data, and subsequently, the dataset is partitioned into training and testing sets to aid in model development and evaluation. Five machine learning models (AdaBoost, Random Forest, Extra Trees, Decision Tree, and CatBoost) are utilized, and a systematic exploration of hyperparameters is conducted. The Extra Trees model exhibited outstanding accuracy, with R² values of 1.0 for the training phase and 0.97 for the testing phase, accompanied by minimal Mean Squared Error (MSE) values of 0 and 0.114, respectively. Furthermore, this investigation utilized SHAP analysis to examine the importance of features, uncovering that ash content (%) emerged as the most significant factor in forecasting the C/N ratio. Thus, the Extra Trees model emerges as a reliable instrument for forecasting the C/N ratio across 17 municipalities within Mashhad County.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103977"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Slag from steel production as a versatile fertilizer: Evaluation of ladle furnace slag in sandy soils and hydroponics

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2024.103954

Maryam O. Qassem , Mohamed Hamid Salim , M.-Hidar A. Dali , Ludovic F. Dumée , Lourdes Vega , Sarath Haridas Kaniyamparambil , Houda Chelaifa , Nahla Al Amoodi , Blaise L. Tardy

Circular use of nutrients is a key endeavor towards a sustainable intensification of agriculture, which reduces emissions and prevents food scarcity. An under-applied source of key micronutrients is slag from steel production; although it has been explored for its potential use in agriculture, the multi-faceted benefits across crop types have not yet been realized at scale. Herein, ladle furnace slag is explored as an amendment for three plant types: cherry tomato, typically grown in acidic soils; Salicornia, typically grown in alkali and saline soils; and arugula, known for its hydroponic growth potential. Both sandy soils and hydroponics are considered. First, the controlled release of nutrients from slag and its fragmentation are shown to be highly associated with organic acids, linked to soil acidification from plant exudates. Low concentrations of slag are shown to increase plant root length and dry weight. For cherry tomatoes, when slag concentration increased from 0 % to 0.1 % slag (w/w), lateral root number, and tap root length increased by 88 % and 44 %, respectively. Similar effects were observed when arugula was hydroponically grown. The starkest contrast was observed for Salicornia, where slag addition increased the net weight by three-fold in the seedling stage. Overall, the study showed that emerging interactions between steel-making and agricultural industries could result in more efficient cropping, nutrient cycling, and carbon bio-fixation.

{"title":"Slag from steel production as a versatile fertilizer: Evaluation of ladle furnace slag in sandy soils and hydroponics","authors":"Maryam O. Qassem , Mohamed Hamid Salim , M.-Hidar A. Dali , Ludovic F. Dumée , Lourdes Vega , Sarath Haridas Kaniyamparambil , Houda Chelaifa , Nahla Al Amoodi , Blaise L. Tardy","doi":"10.1016/j.eti.2024.103954","DOIUrl":"10.1016/j.eti.2024.103954","url":null,"abstract":"<div><div>Circular use of nutrients is a key endeavor towards a sustainable intensification of agriculture, which reduces emissions and prevents food scarcity. An under-applied source of key micronutrients is slag from steel production; although it has been explored for its potential use in agriculture, the multi-faceted benefits across crop types have not yet been realized at scale. Herein, ladle furnace slag is explored as an amendment for three plant types: cherry tomato, typically grown in acidic soils; <em>Salicornia</em>, typically grown in alkali and saline soils; and arugula, known for its hydroponic growth potential. Both sandy soils and hydroponics are considered. First, the controlled release of nutrients from slag and its fragmentation are shown to be highly associated with organic acids, linked to soil acidification from plant exudates. Low concentrations of slag are shown to increase plant root length and dry weight. For cherry tomatoes, when slag concentration increased from 0 % to 0.1 % slag (<em>w/w</em>), lateral root number, and tap root length increased by 88 % and 44 %, respectively. Similar effects were observed when arugula was hydroponically grown. The starkest contrast was observed for <em>Salicornia</em>, where slag addition increased the net weight by three-fold in the seedling stage. Overall, the study showed that emerging interactions between steel-making and agricultural industries could result in more efficient cropping, nutrient cycling, and carbon bio-fixation.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103954"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Carbon emissions of animal-based food can be reduced by adjusting production and consumption of residents in China

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2024.103966

Yulong Chen , Le Qi

China is a major consumer of animal-based food and contributes greatly to livestock greenhouse gas emissions. Adapting to the growing demand for animal-based food and reducing its carbon emissions is a major challenge in achieving sustainable food production. The life cycle assessment (LCA) and Logarithmic Mean Divisia index (LMDI) were conducted to assess the carbon emissions and drivers of major animal-food production in China in 2020. The results showed that mutton had the highest carbon footprint (CF) in animal-based foods, followed by beef, pork, chicken, egg, and milk. Shandong province exhibited the highest carbon emissions from animal-based foods among provinces in China in 2020. Reducing food supply and improving the production environment were the important factors contributing to the reduction of animal-food carbon emissions. In contrast, consumption intensity and population were the main contributing factors to the increase in carbon emissions from animal-based foods. China has a surplus in animal-based foods in 2020, especially in pork, eggs and milk, with Shandong province having the most marked food surplus at provincial level. Based on the surplus or deficit of animal-based food in different provinces, we proposed a production scheme under the premise of meeting the consumption demand of Chinese residents and incorporating the target of reducing emission potential, and the scheme may achieve a emission reduction potential of 231.3 million tons of CO₂-eq in 2020, which accounts for 41.5 % of the carbon emissions before reducing production and cross-regional transport. This study provides a reference for achieving the goal of sustainable food production in China.

{"title":"Carbon emissions of animal-based food can be reduced by adjusting production and consumption of residents in China","authors":"Yulong Chen , Le Qi","doi":"10.1016/j.eti.2024.103966","DOIUrl":"10.1016/j.eti.2024.103966","url":null,"abstract":"<div><div>China is a major consumer of animal-based food and contributes greatly to livestock greenhouse gas emissions. Adapting to the growing demand for animal-based food and reducing its carbon emissions is a major challenge in achieving sustainable food production. The life cycle assessment (LCA) and Logarithmic Mean Divisia index (LMDI) were conducted to assess the carbon emissions and drivers of major animal-food production in China in 2020. The results showed that mutton had the highest carbon footprint (CF) in animal-based foods, followed by beef, pork, chicken, egg, and milk. Shandong province exhibited the highest carbon emissions from animal-based foods among provinces in China in 2020. Reducing food supply and improving the production environment were the important factors contributing to the reduction of animal-food carbon emissions. In contrast, consumption intensity and population were the main contributing factors to the increase in carbon emissions from animal-based foods. China has a surplus in animal-based foods in 2020, especially in pork, eggs and milk, with Shandong province having the most marked food surplus at provincial level. Based on the surplus or deficit of animal-based food in different provinces, we proposed a production scheme under the premise of meeting the consumption demand of Chinese residents and incorporating the target of reducing emission potential, and the scheme may achieve a emission reduction potential of 231.3 million tons of CO<sub>2</sub>-eq in 2020, which accounts for 41.5 % of the carbon emissions before reducing production and cross-regional transport. This study provides a reference for achieving the goal of sustainable food production in China.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103966"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simultaneous organic and nutrient removal in wastewater using a revolving algae biofilm reactor

IF 6.7 2区环境科学与生态学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Environmental Technology & Innovation

Pub Date : 2025-02-01 DOI: 10.1016/j.eti.2024.103949

Thi-Dieu-Hien Vo , Van-Truc Nguyen , Vu-Anh Le , Quoc-Hoang Do , Thi-Yen-Phuong Nguyen , Phuong-Thao Nguyen , Chitsan Lin , Sheng-Jie You , Chettiyappan Visvanathan , Xuan-Thanh Bui

This study focused on a revolving algae biofilm (RAB) reactor for the efficient removal of nutrients from synthetic wastewater. Chlorella vulgaris algae species were used in this study. The study examined the reactor performance across various hydraulic retention times (HRTs) ranging from 60 to 30 hours, revealing crucial insights into its operational efficiency. The results demonstrate that HRT significantly influences key performance indicators, including removal rates, removal efficiencies, biomass growth rate, and complete nitrification. Among the tested configurations, HRT-30h emerged as the optimal parameter, exhibiting impressive removal rates of 108 mg/L/day for COD, 35 mg/L/day for ammonia nitrogen, and 1.8 mg/L/day for phosphorus. Furthermore, it achieved the highest levels of suspended and harvested biofilm mass, measuring 1.07 g/L and 7 g, respectively. Notably, HRT-30h displayed exceptional biomass growth rate, reaching up to 3.77 g/m²/day. Therefore, it underscores the promising potential of the RAB reactor as an efficient and adaptable technology for nutrient removal in wastewater treatment. Further exploration and refinement of operational parameters hold the key to harnessing the full capabilities of this innovative wastewater treatment technology.

{"title":"Simultaneous organic and nutrient removal in wastewater using a revolving algae biofilm reactor","authors":"Thi-Dieu-Hien Vo , Van-Truc Nguyen , Vu-Anh Le , Quoc-Hoang Do , Thi-Yen-Phuong Nguyen , Phuong-Thao Nguyen , Chitsan Lin , Sheng-Jie You , Chettiyappan Visvanathan , Xuan-Thanh Bui","doi":"10.1016/j.eti.2024.103949","DOIUrl":"10.1016/j.eti.2024.103949","url":null,"abstract":"<div><div>This study focused on a revolving algae biofilm (RAB) reactor for the efficient removal of nutrients from synthetic wastewater. <em>Chlorella vulgaris</em> algae species were used in this study. The study examined the reactor performance across various hydraulic retention times (HRTs) ranging from 60 to 30 hours, revealing crucial insights into its operational efficiency. The results demonstrate that HRT significantly influences key performance indicators, including removal rates, removal efficiencies, biomass growth rate, and complete nitrification. Among the tested configurations, HRT-30h emerged as the optimal parameter, exhibiting impressive removal rates of 108 mg/L/day for COD, 35 mg/L/day for ammonia nitrogen, and 1.8 mg/L/day for phosphorus. Furthermore, it achieved the highest levels of suspended and harvested biofilm mass, measuring 1.07 g/L and 7 g, respectively. Notably, HRT-30h displayed exceptional biomass growth rate, reaching up to 3.77 g/m<sup>2</sup>/day. Therefore, it underscores the promising potential of the RAB reactor as an efficient and adaptable technology for nutrient removal in wastewater treatment. Further exploration and refinement of operational parameters hold the key to harnessing the full capabilities of this innovative wastewater treatment technology.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103949"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0