Liwen Mai , Dingmei Wang , Jiacong Lin , Yehao Yan , He Liu , Minmin Cai , Xia Yang , Qinfen Li
{"title":"Role of carbon bioavailability in enhancing carbon sequestration and humification in black soldier fly larvae body and frass during chicken manure composting","authors":"Liwen Mai , Dingmei Wang , Jiacong Lin , Yehao Yan , He Liu , Minmin Cai , Xia Yang , Qinfen Li","doi":"10.1016/j.eti.2025.104036","DOIUrl":"10.1016/j.eti.2025.104036","url":null,"abstract":"<div><div>The rising demand for poultry products has resulted in increased chicken manure output and environmental pollution. Cultivation of black soldier fly larvae (BSFL) in chicken manure offers an effective method for composting chicken manure. This study investigates the impact of diverse carbon resources on carbon sequestration in larval biomass and excrement, with a focus on bioavailability rather than carbon-to-nitrogen ratio. Five distinct carbon resources were combined with chicken manure, i.e., glucose (CG), sugar (CS), corn flour (CCF), straw (CST), and wood (CW), with pure chicken manure (CK) as a control. These mixtures were inoculated with BSFL for conversion, maintaining consistent initial C/N ratios across all treatments. Results indicated that the CS treatment yielded the highest biomass conversion rate and carbon sequestration within larval bodies, rating to 14.48 ± 0.21 % and 18.01 ± 1.43 %, respectively. Analysis of humus composition in frass revealed that CG and CST treatments produced the highest concentration of humic acid (7.86 ± 0.01 g/kg and 8.01 ± 0.22 g/kg). The both treatments also exhibited superior humification degrees, as evidenced by PARAFAC analysis. Redundancy analysis (RDA) indicated that the presence of Labile Carbon Pool I(LCP1) enhances carbon sequestration capacity within larvae bodies by fostering associations between the relative abundance of <em>Firmicutes</em> and larvae growth. Moreover, LCP1 induced anaerobic conditions increase <em>Euryarchaeota</em> abundance, amplifying anaerobic digestion processes conducive to humus generation during BSFL composting of chicken manure. Our discovery refines conventional approaches to raw materials mixing in BSFL composting and elucidates mechanisms through which varied carbon bioavailability alters microbial community composition, facilitating carbon sequestration in both larvae bodies and frass.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104036"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179951","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}
Zhong-Yuan Ying , Lu-Yan Zhang , Yan Li , Ze-Wen Wang , Liang Qiao , Fei-Hong Wang , Ye Yuan , Shan-Shan Yang , Jie Ding , Nan-Qi Ren , Tian-Ming Chen
{"title":"Effects of different types and pyrolysis temperature of straw biochar on promoting hydrogen production of sludge fermentation","authors":"Zhong-Yuan Ying , Lu-Yan Zhang , Yan Li , Ze-Wen Wang , Liang Qiao , Fei-Hong Wang , Ye Yuan , Shan-Shan Yang , Jie Ding , Nan-Qi Ren , Tian-Ming Chen","doi":"10.1016/j.eti.2025.104020","DOIUrl":"10.1016/j.eti.2025.104020","url":null,"abstract":"<div><div>Biohydrogen production is regarded as a prospective approach for hydrogen production, given its capacity to harness functional microorganisms for the conversion of diverse substrates into hydrogen gas. However, challenges such as low hydrogen production rates and poor stability hinder the large-scale application of dark fermentation. Recent research has shown that biochar is an effective additive in anaerobic fermentation processes. This study investigated the effects of biochar formed from three different kinds of straw at different temperatures on hydrogen production during activated sludge fermentation. The incorporation of rice straw biochar formed at 500 °C (RSBC500) to the fermentation process significantly increased hydrogen production by 27.27 % and improved microbial metabolic pathways. The results of the metabolite analysis indicated a notable increase in the content of both acetate and butyrate, from 16.78 and 15.35 mmol/L, respectively, to 18.50 and 18.26 mmol/L. The characterization of biochar formed at different temperatures and the analysis of the electron transfer capacity of fermentation residues and extracellular polymeric substances revealed that RSBC500 with more redox active functional groups and higher electron transfer capacity enhanced electron transfer between microorganisms. This study presents a strategy for optimizing biochar raw materials and pyrolysis temperatures to promote biohydrogen production, deepening the understanding of biochar promoting hydrogen production from sludge fermentation and providing valuable insights into the resource utilization of crop straw.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104020"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179958","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}
Yanxiang Zhang , Hongwei Sun , Xiaoyong Yang , Yucan Liu , Huiling Liu , Xiaohu Dai , Yu Zhang , Yi Cao
{"title":"Dynamics of soil resistome and bacterial composition following multi-year application of different antibiotic fermentation residues","authors":"Yanxiang Zhang , Hongwei Sun , Xiaoyong Yang , Yucan Liu , Huiling Liu , Xiaohu Dai , Yu Zhang , Yi Cao","doi":"10.1016/j.eti.2024.104010","DOIUrl":"10.1016/j.eti.2024.104010","url":null,"abstract":"<div><div>Antibiotic fermentation residue (AFR) is a byproduct of the antibiotic fermentation process, and its application could provide plentiful nutrients to the soil. However, the fate of antibiotic resistance genes (ARGs) in soil with consecutive repeated application of different AFRs is not fully understood. Hence, the succession of bacterial community and ARGs following the repeated application of three different AFRs (erythromycin fermentation residue (EFR), cephalosporin C fermentation residue (CFR) and penicillin fermentation residue (PFR)) was investigated. Herein, AFR after industrial-scale treatment was applied to the actual field for three consecutive years with the dosage of 7500 kg/hm<sup>2</sup>. Results implied that AFR application affected the bacterial community structure over time. And treated CFR and PFR induced substantial shifts in bacterial community compared to the treated EFR. Additionally, AFR influenced the ARGs abundance, where addition of treated EFR and PFR resulted in a more prominent increase of ARGs over time compared to the treated CFR, suggesting that the consecutive repeated AFR application might pose potential risks to the persistence and spread of ARGs. Finally, duration time contributed most to the soil ARGs profiles. These findings provided insights into the dynamics of soil ARGs following the consecutive repeated application of different AFRs.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104010"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179957","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}
{"title":"Spatio-temporal influencing effects and mechanisms of the digital economy on eco-urbanization in the Yangtze River Delta region","authors":"Meijuan Hu , Peng Chen , Gong Chen , Zaijun Li","doi":"10.1016/j.eti.2024.103979","DOIUrl":"10.1016/j.eti.2024.103979","url":null,"abstract":"<div><div>The digital economy (DIGE) plays a crucial role in advancing the sustainable development of the urban ecological environments. This study explored the co-evolutionary dynamics between DIGE and eco-urbanization (ECU), and investigates the impact mechanisms of DIGE on ECU in the Yangtze River Delta (YRD) region. The following findings include: (1) The coupling coordination between DIGE and ECU increased from 2011 to 2021, with higher coordination observed in the developed central delta region and lower levels in less developed areas of Anhui and northern Jiangsu. (2) A positive and intensifying relationship emerged between DIGE and ECU during this period, with most cities in the delta region showing positive correlations. Higher incidence intensity was found in developed cities in southern Anhui, and central and southern Jiangsu, while weaker incidence intensity was observed in the less developed northern Anhui, northern Jiangsu, as well as western Zhejiang. (3) A significantly positive spatial association was identified, characterized by stable local transfer inertia and lock-in effects. The L<sub>DIGE</sub>L<sub>ECU</sub> type cities were primarily located in the less developed northern delta and parts of relatively developed central Anhui and Jiangsu; notably, the H<sub>DIGE</sub>H<sub>ECU</sub> type cities were clustered in the developed southeastern delta region. (4) DIGE not only promoted ECU directly, but also indirectly advanced it through green technological innovation, industrial ecologization, industrial structural optimization, and environmental regulations. Furthermore, synergistic promotion, feedback effects, and mutual spatial spillover effects were identified between DIGE and ECU. Understanding these patterns and mechanisms is essential for guiding policy actions and fostering sustainable urban development.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103979"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179493","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}
Pei-Yi Wong , Yu-Ting Zeng , Huey-Jen Su , Shih-Chun Candice Lung , Yu-Cheng Chen , Pau-Chung Chen , Ta-Chih Hsiao , Gary Adamkiewicz , Chih-Da Wu
{"title":"Effects of feature selection methods in estimating SO2 concentration variations using machine learning and stacking ensemble approach","authors":"Pei-Yi Wong , Yu-Ting Zeng , Huey-Jen Su , Shih-Chun Candice Lung , Yu-Cheng Chen , Pau-Chung Chen , Ta-Chih Hsiao , Gary Adamkiewicz , Chih-Da Wu","doi":"10.1016/j.eti.2024.103996","DOIUrl":"10.1016/j.eti.2024.103996","url":null,"abstract":"<div><div>Statistical-based feature selection methods have been used for dimension reduction, but only a few studies have explored the impact of selected features on machine learning models. This study aims to investigate the effects of statistical and machine learning-based feature selection methods on spatial prediction models for estimating variations in SO<sub>2</sub> concentrations. We collected daily SO<sub>2</sub> observations from 1994 to 2018 along with predictor variables such as land-use/land cover allocations, roads, landmarks, meteorological factors, and satellite images, resulting in a total of 428 geographic predictors. Important features were identified using statistical-based feature selection methods including SelectKBest, stepwise feature selection, elastic net, and machine learning-based methods such as random forest. The selected features from the four feature selection methods were fitted to machine learning algorithms including gradient boosting, CatBoost, XGBoost, and stacking ensemble to establish prediction models for estimating SO<sub>2</sub> concentrations. SHapley Additive exPlanations (SHAP) was applied to explain the contribution of each selected feature to the model's prediction capability. The results showed that stacking ensemble model outperformed the three single machine learning algorithms. Among the four feature selection methods, the random forest method yielded the highest prediction accuracy (R<sup>2</sup>=0.80) in the training model, followed by stepwise selection (R<sup>2</sup>=0.75), SelectKBest (R<sup>2</sup>=0.75), and elastic net (R<sup>2</sup>=0.72) in the stacking ensemble model. These results were robust after several validation tests. Our findings suggested that the random forest feature selection method was more suitable for developing machine learning models for air pollution estimation. The identified features also provide important information for urban air pollution management.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103996"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179494","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}
Song Zhao , Yongqi Ma , Yang Li , Rui Li , Duo Miao , Hongqin Wang , Fang Yin , Hanzhong Jia
{"title":"Organic acids promote the generation of reactive oxygen species by Fe(III)-modified montmorillonite: Unraveling the Cr(VI) reduction mechanism","authors":"Song Zhao , Yongqi Ma , Yang Li , Rui Li , Duo Miao , Hongqin Wang , Fang Yin , Hanzhong Jia","doi":"10.1016/j.eti.2024.103975","DOIUrl":"10.1016/j.eti.2024.103975","url":null,"abstract":"<div><div>Widespread iron-bearing clay minerals exhibit excellent performance in remediating Cr(VI) contamination in aqueous and soil environments. However, the environmental factors and mechanisms underpinning Cr(VI) reduction via Fe(III)-exchanged clay surfaces remain insufficiently explored. In this study, we delve into the synergistic effects of Fe(III)-exchanged montmorillonite (MMT) and organic acids on Cr(VI) reduction. The results showed that Cr(VI) removal efficiency was significantly influenced by the type and concentration of organic acid, as well as the initial pH of the solution. Notably, the presence of ascorbic acid (H<sub>2</sub>A) significantly promoted Cr(VI) reduction by Fe(III)-exchanged MMT at pH 3.0, achieving rates 4–7 times higher than those observed with other organic acids. Spectral analyses identified Cr(OH)<sub>3</sub>, Fe(III)-Cr(III) complexes and Cr<sub>2</sub>O<sub>3</sub> as the primary reduction products of Cr(VI). Further investigations through chemical probe experiments and radical quenching tests demonstrated that exchangeable Fe(III) on the surface of MMT was reduced to Fe(II) by H<sub>2</sub>A. The resulting Fe(II) participates in Fenton reaction, generating superoxide radical (O<sub>2</sub><sup>•–</sup>) and hydroxyl radical (•OH), which act as potent electron donors to facilitate Cr(VI) reduction. Additionally, both H<sub>2</sub>A and Fe(II) directly contribute to the partial reduction of Cr(VI). These findings expand the potential applications of Fe(III)-exchanged MMT in treating Cr(VI)-contaminated wastewater, providing a promising strategy for environmental remediation and pollution control.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103975"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178335","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}
Quan Yuan , Xin-Ru Wen , Wei Liu , Zhang-Wen Ma , Jia-Wei Tang , Qing-Hua Liu , Muhammad Usman , Yu-Rong Tang , Xiang Wu , Liang Wang
{"title":"Simultaneous detection and quantification of ciprofloxacin, doxycycline, and levofloxacin in municipal lake water via deep learning analysis of complex Raman spectra","authors":"Quan Yuan , Xin-Ru Wen , Wei Liu , Zhang-Wen Ma , Jia-Wei Tang , Qing-Hua Liu , Muhammad Usman , Yu-Rong Tang , Xiang Wu , Liang Wang","doi":"10.1016/j.eti.2024.103987","DOIUrl":"10.1016/j.eti.2024.103987","url":null,"abstract":"<div><div>In recent years, the misuse of antibiotics has led to severe pollution in water environments, with excessive residues in lake water damaging ecosystems and promoting the emergence of antibiotic-resistant bacteria. Therefore, rapid detection of antibiotic residues in the environment is crucial. This study introduces a novel method for the simultaneous quantification of mixed antibiotics in lake water using Surface-Enhanced Raman Scattering (SERS) combined with deep learning methods. To demonstrate the accuracy of our experiments, we tested four lake water samples collected from four distinct sampling points of an artificial lake in a municipal city in China. We independently analyzed each sample mixed with commonly used antibiotics, including ciprofloxacin, doxycycline, and levofloxacin. A non-negative elastic network was then employed to predict concentration ratios of mixed antibiotics in the lake water samples. The results showed that the established method can accurately quantify the ratios of individual antibiotics in mixed solutions at all four lake water sampling points. This approach facilitates the identification and quantification of antibiotics in lake water with simplicity and rapidity, exhibiting potential application for real-world monitoring of fluctuations of antibiotic residues in natural water systems.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103987"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178505","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}
{"title":"Functionalized construction of highly aromatic condensed graphitized biochar for tetracycline adsorption","authors":"Xiaotong Zhang , Jinju Hou , Tong Cai , Shudong Zhang , Lichun Shen , Qiuzhuo Zhang","doi":"10.1016/j.eti.2024.104002","DOIUrl":"10.1016/j.eti.2024.104002","url":null,"abstract":"<div><div>Designing biochar for the efficient removal of specific pollutants remains a significant challenge. In this work, a graphitized biochar with large carbon clusters (HBC700) was synthesized specifically for the removal of tetracycline. HBC700 exhibited outstanding adsorption performance, with a maximum adsorption capacity of 257.04 mg·g⁻¹ , which is 4.72 times that of the pristine biochar. The superior performance is attributed to its low electrical resistance, which facilitates electron transfer at the interface, enabling rapid and efficient tetracycline removal. After tetracycline adsorption, the structure of HBC700 became more ordered, forming a stable honeycomb arrangement. HBC700 also demonstrated high regeneration stability, maintaining a 94.85 % removal rate after five cycles, and achieving 100 % removal after H₂O₂ purification. Furthermore, HBC700 achieved over 98 % tetracycline removal in both tap water and wastewater, highlighting its potential for real-world applications.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104002"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178918","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}
{"title":"Upcycling bivalve mollusk shell wastes into triple super-, mono-and di-calcium phosphates for fertilizers and mineral animal feed","authors":"Nongnuch Laohavisuti , Chaowared Seangarun , Banjong Boonchom , Pesak Rungrojchaipon , Wimonmat Boonmee , Somkiat Seesanong","doi":"10.1016/j.eti.2024.103988","DOIUrl":"10.1016/j.eti.2024.103988","url":null,"abstract":"<div><div>To reduce and utilize many mollusk shell wastes, they can be transferred to calcium carbonate (CaCO<sub>3</sub>) powders by mechanical grinding and then the obtained powders can be upcycled into various calcium phosphates. Triple super-, mono-and di-calcium phosphates were prepared by rapidly simple, cheap, and environmentally friendly processes using bivalve mollusk shell wastes. Triple superphosphate (TSP) powder was obtained by a reaction between phosphoric acid and mollusk shell-derived CaCO<sub>3</sub> powder and then was dissolved with water to classify non-soluble and soluble fractions by filtration. Non-soluble fraction was dried to obtain a gray-white powder of dicalcium phosphate dihydrate (CaHPO<sub>4</sub>·2 H<sub>2</sub>O). The self-evaporating process recrystallized the solution fraction to get a white powder of monocalcium phosphate monohydrate (Ca(H<sub>2</sub>PO<sub>4</sub>)<sub>2</sub>·H<sub>2</sub>O). All synthesized calcium phosphate samples were characterized and confirmed by X-ray fluorescence, X-ray diffraction, Fourier-transform infrared spectroscopy, scanning electron microscopy, and thermal analysis. Thermogravimetric analysis (TGA) and derivative thermogravimetric analysis (DTA) were conducted to evaluate phase stability and thermal behavior. The analyses revealed the crucial influence of temperature on phase transitions and stability, providing insights into decomposition patterns and confirming phase purity. All the calcium phosphates were found to be highly purified and phosphorus-rich, making them effective for use in fertilizers and mineral animal feed. Additionally, the green and low-cost preparation of three calcium phosphates proposed in this research will be valuable for reducing waste mollusk shells by reforming them into value-added chemical products that point out the viewpoint of a zero-waste operation for obtaining sustainable development of an effective waste management and recycling technique.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103988"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179489","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}
Chang Liu , Xiu-Tong Li , Yuqian Han , Wenxing Li , Yongqiang Gao , Chengying Jiang , Ying Liu , Yanning Zheng
{"title":"Enhanced pyrite bioleaching through the synergistic interactions between Sulfobacillus thermosulfidooxidans and Alicyclobacillus ferrooxydans","authors":"Chang Liu , Xiu-Tong Li , Yuqian Han , Wenxing Li , Yongqiang Gao , Chengying Jiang , Ying Liu , Yanning Zheng","doi":"10.1016/j.eti.2024.104005","DOIUrl":"10.1016/j.eti.2024.104005","url":null,"abstract":"<div><div>With the growing challenges of resource shortages and environmental pollution, bioleaching has attracted increasing attention for its high potential in processing refractory and low-grade ores. However, the slow growth rate and low biomass production of autotrophic bacteria commonly used in bioleaching limit their industrial application. Here, based on high-throughput sequencing analysis, which revealed a strong positive correlation between <em>Sulfobacillus</em> and <em>Alicyclobacillus</em> in mining environments, we developed a mixed-bacterial system composed of <em>Sulfobacillus thermosulfidooxidans</em> and <em>Alicyclobacillus ferrooxydans</em> to enhance the efficiency of bioleaching. The mixed-bacterial system achieved a pyrite leaching rate up to 91.14 %, compared to 67.54 % by <em>S. thermosulfidooxidans</em> and 17.63 % by <em>A. ferrooxydans</em>. The improved leaching performance was attributed to the increased production of total extracellular polymeric substances (EPS), higher cell density and stronger redox capacity in the bioleaching solution. This study contributes to the development of a greener and more sustainable metallurgical industry.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104005"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179491","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}