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Pharmaceuticals and personal care products in soil: Sources, impacts and myco-remediation strategies

IF 5.3 2区环境科学与生态学

Emerging Contaminants Pub Date : 2025-03-04 DOI: 10.1016/j.emcon.2025.100488

Moharana Choudhury , Manab Deb Adhikari , Sangita Agarwal , Palas Samanta , Anu Sharma , Debajyoti Kundu , Sunil Kumar

{"title":"Pharmaceuticals and personal care products in soil: Sources, impacts and myco-remediation strategies","authors":"Moharana Choudhury , Manab Deb Adhikari , Sangita Agarwal , Palas Samanta , Anu Sharma , Debajyoti Kundu , Sunil Kumar","doi":"10.1016/j.emcon.2025.100488","DOIUrl":"10.1016/j.emcon.2025.100488","url":null,"abstract":"<div><div>Bioremediation is an effective and sustainable method for removing xenobiotic pollutants from the environment, utilizing microorganisms and plants to metabolize harmful chemicals into harmless compounds like CO<sub>2</sub> and water. Among various bioremediation strategies, mycoremediation stands out due to the unique enzymatic capabilities and metabolic diversity of fungi, enabling them to degrade persistent and toxic pollutants under harsh environmental conditions. This review specifically addresses the application of mycoremediation to emerging contaminants pharmaceuticals and personal care products (PPCPs) which pose significant environmental challenges due to their persistence, bioaccumulation potential, and ecotoxicity.</div><div>This article provides a comprehensive overview of fungal-based strategies for PPCP remediation, documenting the fate, distribution, and impacts of these contaminants in soil. It highlights the enzymatic mechanisms and fungal species involved in PPCP degradation, with an emphasis on their ecological resilience and pollutant-specific adaptability. Additionally, the review explores under-discussed factors influencing fungal efficacy, such as pH, temperature, and contaminant concentration, alongside innovative advancements like myco-nanotechnology and enzyme engineering that enhance remediation efficiency.</div><div>By integrating these aspects with policy perspectives and sustainable development goals, this review contributes novel insights into the potential of mycoremediation as a cutting-edge approach for mitigating PPCP contamination. It underscores the role of fungi in advancing circular economy principles and offers a foundation for future research and practical applications in environmental management.</div></div>","PeriodicalId":11539,"journal":{"name":"Emerging Contaminants","volume":"11 2","pages":"Article 100488"},"PeriodicalIF":5.3,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610746","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

Sustainable Asteroid Mining: Results and methods of team BIT-CAS-DFH for GTOC12

IF 2.7 1区物理与天体物理

Astrodynamics Pub Date : 2025-03-04 DOI: 10.1007/s42064-024-0241-5

Bo Pang, Yangyuxi Sun, Guoxu Zhang, Yining Zhang, Tianhao Zhu, Yangxin Wang, Zihan Jin, Zhaohang Li, Lvzheng He, Meng Lu, Rui Zhou, Yongchen Yin, Yunong Shang, Shengmao He, Chao Peng, Zhengfan Zhu, Yang Zhang, Yang Gao, Changxuan Wen

{"title":"Sustainable Asteroid Mining: Results and methods of team BIT-CAS-DFH for GTOC12","authors":"Bo Pang, Yangyuxi Sun, Guoxu Zhang, Yining Zhang, Tianhao Zhu, Yangxin Wang, Zihan Jin, Zhaohang Li, Lvzheng He, Meng Lu, Rui Zhou, Yongchen Yin, Yunong Shang, Shengmao He, Chao Peng, Zhengfan Zhu, Yang Zhang, Yang Gao, Changxuan Wen","doi":"10.1007/s42064-024-0241-5","DOIUrl":"10.1007/s42064-024-0241-5","url":null,"abstract":"<div><p>The 12th Global Trajectory Optimization Competition challenged teams to design trajectories for mining asteroids and transporting extracted resources back to the Earth. This paper outlines the methods and results of the runner-up team, BIT-CAS-DFH, highlighting an overall analysis of the approach as well as detailed descriptions of the methods used. The approach begins with building databases to reduce computational costs in trajectory design. Then, asteroid sequences are determined. A segmentation-based approach was adopted to efficiently handle the large dataset. Each sequence was divided into four time-based segments. Segments 1 and 4 were generated forward and backward, respectively, using a breadth-first beam search. Candidates for these segments were refined using genetic and greedy algorithms. Segments 2 and 3 were then generated and selected forward and backward based on the results of Segments 1 and 4. Following this, a matching process paired candidates from Segments 2 and 3. With the asteroid sequences established, low-thrust trajectories were optimized using indirect methods. A local optimization strategy was employed to maximize the collected mass by fine-tuning rendezvous timings. The final solution is presented, with comparative analyses against other teams’ approaches.\u0000</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":52291,"journal":{"name":"Astrodynamics","volume":"9 1","pages":"107 - 128"},"PeriodicalIF":2.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143533229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of the application prospects of cloud-edge-end collaborative technology in freshwater aquaculture 云-端协同技术在淡水养殖中的应用前景综述

IF 8.2

Artificial Intelligence in Agriculture Pub Date : 2025-03-04 DOI: 10.1016/j.aiia.2025.02.008

Jihao Wang , Xiaochan Wang , Yinyan Shi , Haihui Yang , Bo Jia , Xiaolei Zhang , Lebin Lin

{"title":"A review of the application prospects of cloud-edge-end collaborative technology in freshwater aquaculture","authors":"Jihao Wang , Xiaochan Wang , Yinyan Shi , Haihui Yang , Bo Jia , Xiaolei Zhang , Lebin Lin","doi":"10.1016/j.aiia.2025.02.008","DOIUrl":"10.1016/j.aiia.2025.02.008","url":null,"abstract":"<div><div>This paper reviews the application and potential of cloud-edge-end collaborative (CEEC) technology in the field of freshwater aquaculture, a rapidly developing sector driven by the growing global demand for aquatic products. The sustainable development of freshwater aquaculture has become a critical challenge due to issues such as water pollution and inefficient resource utilization in traditional farming methods. In response to these challenges, the integration of smart technologies has emerged as a promising solution to improve both efficiency and sustainability. Cloud computing and edge computing, when combined, form the backbone of CEEC technology, offering an innovative approach that can significantly enhance aquaculture practices. By leveraging the strengths of both technologies, CEEC enables efficient data processing through cloud infrastructure and real-time responsiveness via edge computing, making it a compelling solution for modern aquaculture. This review explores the key applications of CEEC in areas such as environmental monitoring, intelligent feeding systems, health management, and product traceability. The ability of CEEC technology to optimize the aquaculture environment, enhance product quality, and boost overall farming efficiency highlights its potential to become a mainstream solution in the industry. Furthermore, the paper discusses the limitations and challenges that need to be addressed in order to fully realize the potential of CEEC in freshwater aquaculture. In conclusion, this paper provides researchers and practitioners with valuable insights into the current state of CEEC technology in aquaculture, offering suggestions for future development and optimization to further enhance its contributions to the sustainable growth of freshwater aquaculture.</div></div>","PeriodicalId":52814,"journal":{"name":"Artificial Intelligence in Agriculture","volume":"15 2","pages":"Pages 232-251"},"PeriodicalIF":8.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Editorial for the GTOC12 Special Issue

IF 2.7 1区物理与天体物理

Astrodynamics Pub Date : 2025-03-04 DOI: 10.1007/s42064-025-0267-3

Fanghua Jiang, Hexi Baoyin

引用次数: 0

Sustainable Asteroid Mining: On the design of GTOC12 problem and summary of results

IF 2.7 1区物理与天体物理

Astrodynamics Pub Date : 2025-03-04 DOI: 10.1007/s42064-024-0199-3

Zhong Zhang, Nan Zhang, Xiang Guo, Di Wu, Xuan Xie, Jia Yang, Fanghua Jiang, Hexi Baoyin

引用次数: 0

GTOC12: Results from Σ team

IF 2.7 1区物理与天体物理

Astrodynamics Pub Date : 2025-03-04 DOI: 10.1007/s42064-024-0232-6

Kaiduo Wang, Qi Ouyang, Yandong Liu, Bin Li, Yirui Wang, Haohao Li, Bowen Dong, Dawei Fan, Jiening Zhao, Shurui Huang, Shaofeng Li, Yong Liu, Mingtao Li, Gefei Li, Xizheng Yu, Youliang Wang

{"title":"GTOC12: Results from Σ team","authors":"Kaiduo Wang, Qi Ouyang, Yandong Liu, Bin Li, Yirui Wang, Haohao Li, Bowen Dong, Dawei Fan, Jiening Zhao, Shurui Huang, Shaofeng Li, Yong Liu, Mingtao Li, Gefei Li, Xizheng Yu, Youliang Wang","doi":"10.1007/s42064-024-0232-6","DOIUrl":"10.1007/s42064-024-0232-6","url":null,"abstract":"<div><p>Asteroid mining is a potentially lucrative method for extracting resources from space. Water resources found on asteroids can serve as fuel supplies for spacecrafts in deep space, and some asteroids are rich in precious metals, offering immense potential economic value. The 12th Global Trajectory Optimization Competition, held in 2023, introduced a challenge to trajectory design for sustainable asteroid mining. Participating teams were tasked with maximizing the mining quantity over a 15-yr period by utilizing as many mining ships as possible to depart from the Earth, deploy miners on multiple asteroids, recover minerals, and return to the Earth. Σ team devised a strategy in which one ship completes one sequence, enabling the collection of minerals from 203 asteroids using 26 mining ships. This paper outlines the design methodology and outcomes of this approach, encompassing a preliminary analysis of the problem, optimization for the Earth departure and return, flight sequence search, and low-thrust conversion and optimization. Through methods such as asteroid selection and clustering, database building for Earth–asteroid transfers, global search with an impulsive model, local optimization with a low-thrust model, and conversion of remaining fuel into mining time, the computational efficiency was significantly enhanced, fuel consumption per unit mineral collection was reduced, and mining quantity was improved. Finally, the design outcomes of this approach are presented. The proposed trajectory design method enables the completion of multiple asteroid rendezvouses in a short time, providing valuable insights for future missions involving a single spacecraft conducting multiple rendezvouses with multiple asteroids.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":52291,"journal":{"name":"Astrodynamics","volume":"9 1","pages":"89 - 106"},"PeriodicalIF":2.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143533021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GTOC12: Results from the OptimiCS team

IF 2.7 1区物理与天体物理

Astrodynamics Pub Date : 2025-03-04 DOI: 10.1007/s42064-024-0223-7

Sébastien Goulet, Vincent Debout, Patrice Mathieu, Vincent Cucchietti, Maxime Journot, Julien Asquier, Romain Garmier, Laurène Beauvalet, Thierry Ceolin, Laurent Chausson, Pascal Parraud

{"title":"GTOC12: Results from the OptimiCS team","authors":"Sébastien Goulet, Vincent Debout, Patrice Mathieu, Vincent Cucchietti, Maxime Journot, Julien Asquier, Romain Garmier, Laurène Beauvalet, Thierry Ceolin, Laurent Chausson, Pascal Parraud","doi":"10.1007/s42064-024-0223-7","DOIUrl":"10.1007/s42064-024-0223-7","url":null,"abstract":"<div><p>Establishing a sustainable mining expedition for the asteroids of the main belt over the 2035–2050 horizon is the visionary problem of the 12th Global Trajectory Optimisation Competition. A fleet of mining ships must rendezvous twice with asteroids to deploy miners and collect minerals. In this paper, we describe the approach of the CS Group team, OptimiCS, to solve this challenging problem. We present the symmetrical construction of upstream and downstream semi-sequences of asteroids, maximizing the mining time expectancy via a beam search with tabu iterations, and the composition of these semi-sequences into complete fleet routes, maximizing the total collected mass via simulated annealing. While representative Earth–asteroid legs are precomputed, the delta-<i>V</i> costs of the asteroid-to-asteroid hops composing the sequences are initially approximated during exploration via a method that refines the accuracy of the maximum initial mass. The resulting high-fidelity trajectories are adjusted and optimized via a direct method and nonlinear programming.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":52291,"journal":{"name":"Astrodynamics","volume":"9 1","pages":"77 - 88"},"PeriodicalIF":2.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143533020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GTOC12: Results from Nanjing University of Aeronautics and Astronautics

IF 2.7 1区物理与天体物理

Astrodynamics Pub Date : 2025-03-04 DOI: 10.1007/s42064-024-0209-5

Yu Zhang, Jincheng Hu, Guoliang Liang, Hongwei Yang, Pengxuan Liu, Xinxi Zeng, Shuang Li, Bin Yang

引用次数: 0

Investigation of Ni0.4Cu0.6/POM photocatalytic hydrogen generation efficiency using ammonia borane hydrolysis

燃料化学学报 Pub Date : 2025-03-01 DOI: 10.1016/S1872-5813(24)60478-0

Youhua ZUO , Rong LI , Licheng XU , Junfeng HUA , Siyu HAO , Jing XIE , Lixin XU , Mingfu YE , Chao WAN

引用次数: 0

Volatile flavor analysis of flesh oil and liver oil from Doederleinia berycoides based on HS-GC-IMS, HS-SPME-GC‐MS and lipidomics

Grain Oil Science and Technology Pub Date : 2025-03-01 DOI: 10.1016/j.gaost.2025.01.002

Feifan Wu , Kewei Lin , Jixiang Zhang , Xinyang Li , Xiaoguo Ying , Shanggui Deng , Alessandra Guidi , Gengsheng Xiao , Feng Wang , Lukai Ma

{"title":"Volatile flavor analysis of flesh oil and liver oil from Doederleinia berycoides based on HS-GC-IMS, HS-SPME-GC‐MS and lipidomics","authors":"Feifan Wu , Kewei Lin , Jixiang Zhang , Xinyang Li , Xiaoguo Ying , Shanggui Deng , Alessandra Guidi , Gengsheng Xiao , Feng Wang , Lukai Ma","doi":"10.1016/j.gaost.2025.01.002","DOIUrl":"10.1016/j.gaost.2025.01.002","url":null,"abstract":"<div><div>Edible oils derived from aquatic products are rich in lipids beneficial to human health. However, the volatile flavor characteristics of flesh oil and liver oil from <em>Doederleinia berycoides</em> remain unclear. In this study, flesh oil and liver oil were extracted from <em>Doederleinia berycoides</em>, revealing different fatty acid compositions and contents. Lipidomics analysis identified a total of 124 differential lipids between the flesh oil and liver oil, including 42 glycerophospholipids (GPs), 33 glycerolipids (GLs), 23 free fatty acids (FAs), 13 sphingolipids (SPs), 10 sterols (STs), and 3 prenol lipids (PRs). Analysis using HS-GC-IMS identified 12 key volatile compounds that significantly contributed to the distinct volatile flavors of the flesh and liver oils. The volatile flavors originated from these volatile compounds, which had different Relative Odor Activity Values (ROAVs). Further results from HS-SPME-GC‐MS showed that the volatile flavors of the flesh oil and liver oil were respectively attributed to 64 and 35 volatile compounds, each with unique key volatile compounds exhibiting different ROAVs. There were significant positive or negative correlations between 18 key differential lipids and 24 volatile compounds in both flesh oil and liver oil. Therefore, the complex lipid profiles are responsible for the unique volatile flavors of flesh oil and liver oil, and the differential lipids play a central role in their volatile flavor formation. These findings provide a foundation for understanding the volatile flavor differences in fish oils and hold promise for further exploration of the molecular mechanisms underlying oil volatile flavors.</div></div>","PeriodicalId":33614,"journal":{"name":"Grain Oil Science and Technology","volume":"8 1","pages":"Pages 1-12"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0