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过一硫酸盐体系中铜分布模式控制活性物种的产生和污染物降解路径

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Engineering 2024年第4期35卷 168-179页

作者： Ning Li Haoxi Dai Mengting He Jun Wang Zhanjun cheng Beibei Yan Wenchao Peng guanyi chen School of Environmental Science and Engineering&Tianjin Engineering Research Center of Bio Gas/Oil Technology Tianjin UniversityTianjin 300072China Department of Chemical Engineering Tianjin UniversityTianjin 300350China School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China School of Science Tibet UniversityLhasa 850012China

The distribution pattern of metals as active centers on a substrate can influence the peroxymonosulfate(PMS)activation and contaminants ***,atomic layer deposition is applied to prepare Cu single atom(SA-Cu),cluster(C-Cu),and film(F-Cu)decorated MXene catalysts by regulating the number of deposition *** comparison with SA-Cu-MXene(adsorption energy(E_(ads))=-4.236 eV)and F-Cu-MXene(E_(ads)=-3.548 eV),PMS is shown to adsorb preferably on the C-Cu-MXene surface for activation(E_(ads)=-5.435 eV),realizing higher utilization *** SO_(4)^(·-)are generated in C-Cu-MXene/PMS system with steady-state concentration and 1–3 orders of magnitude higher than those in the SA-Cu-MXene and F-Cu-MXene activated PMS ***,the contribution of SO_(4)^(·-)oxidation to sulfamethoxazole(SMX)degradation followed the order,C-Cu-MXene(97.3%)>SA-Cu-MXene(90.4%)>FCu-MXene(71.9%),realizing the larger SMX degradation rate in the C-Cu-MXene/PMS system with the degradation rate constants(k)at 0.0485 min^(-1).Additionally,SMX degradation routes in C-Cu-MXene/PMS system are found with fewer toxic *** this work,we highlighted the importance of guided design of heterogeneous catalysts in the PMS *** metal distribution patterns need to be selected according to the actual water treatment *** sites could be then fully utilized to produce specific active species to improve the utilization efficiency of the oxidants.

关键词： Cu cluster Distribution pattern Peroxymonosulfate Active species Degradation routes

可生物降解塑料取代传统塑料--对碳排放的影响

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Engineering 2024年第1期32卷 152-162页

作者： guanyi chen Jianyuan Li Yunan Sun Zhi Wang Gary ALeeke Christian Moretti Zhanjun cheng Yuan Wang Ning Li Lan Mu Jinyu Li Junyu Tao Beibei Yan Li'an Hou Interdisciplinary Innovation Lab for Environment and Energy School of Mechanical Engineering&School of Biotechnology and Food ScienceTianjin University of CommerceTianjin 300134China School of Environmental Science and Engineering Tianjin UniversityTianjin 300350China School of Ecology and Environment Tibet UniversityLhasa 850012China Tianjin Key Laboratory of Biomass Wastes UtilizationTianjin Engineering Research Center for Organic Wastes Safe Disposal and Energy UtilizationTianjin 300072China School of Chemical Engineering University of BirminghamBirmingham B152TTUK Department of Environmental Systems Science ETH ZürichZürich CH-8092Switzerland

In recent years,a great deal of attention has been focused on the environmental impact of plastics,includ-ing the carbon emissions related to plastics,which has promoted the application of biodegradable *** worldwide have shown high interest in replacing traditional plastics with biodegradable ***,no systematic comparison has been conducted on the carbon emissions of biodegrad-able versus traditional plastic *** study evaluates the carbon emissions of traditional and biodegradable plastic products(BPPs)over four stages and briefly discusses environmental and economic *** scenarios-namely,the traditional method,chemical recycling,industrial composting,and anaerobic digestion-are considered for the disposal of waste BPPs(WBPPs).The analysis takes China as a case *** results show that the carbon emissions of 1000traditional plastic products(plastic bags,lunch boxes,cups,etc.)were52.09-150.36 carbon emissions equivalent of per kilogram(kg CO_(2)eq),with the stage of plastic production contributing 50.71%-50.77%.In comparison,1000 similar BPPs topped out at 21.06-56.86 kg CO_(2)eq,approximately 13.53%-62.19%lower than traditional plastic *** difference was mainly at the stages of plastic production and waste disposal,and the BPPs showed significant carbon reduction potential at the raw material acquisition *** disposal plays an important role in environmental impact,and composting and anaerobic digestion are considered to be preferable disposal methods for ***,the high cost of biodegradable plastics is a challenge for their widespread *** study has important reference significance for the sustainable development of the biodegradableplastics industry.

关键词： Carbon emissions Biodegradable plastics Different disposal scenarios Daily life consumption Environmental and economic discussion

木质素模型化合物的电化学催化研究:转化特性与产物选择性

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燃料化学学报（中英文） 2024年第5期52卷 677-686页

作者：韦德宁汤宏彪杨改秀杨俊涛李宁陈冠益陈春香冯治杰中国科学院广州能源研究所广东广州510640 中国科学技术大学能源科学与技术学院安徽合肥230026 天津大学佐治亚理工深圳学院广东深圳518071 广西大学机械工程学院广西南宁530004

酚类衍生物是生物油的关键组分,对其电催化加氢(ECH)性质的深入理解对于高效利用生物油至关重要。基于此种考量,本工作研究了生物油中代表性物质愈创木酚的电催化加氢性能,探讨了其电催化加氢的反应机制、转化率和产品选择性在不同反应... 详细信息

酚类衍生物是生物油的关键组分,对其电催化加氢(ECH)性质的深入理解对于高效利用生物油至关重要。基于此种考量,本工作研究了生物油中代表性物质愈创木酚的电催化加氢性能,探讨了其电催化加氢的反应机制、转化率和产品选择性在不同反应条件下(温度:40−80℃,高氯酸浓度:0.2–1.0 mol/L,电流强度:(–10)–(–150)mA)的变化。同时,也探索了愈创木酚中间产物(2-甲氧基环己酮和环己酮)等对其电催化加氢的影响。结果表明,愈创木酚的ECH转化率随温度和电流强度的提高而增加,但高氯酸浓度的增加则对转化率具有相反的影响。同时发现,中间产物的存在增强了愈创木酚的电催化加氢转化率,尤其是2-甲氧基环己酮,其效果更为显著。在此基础上,对其他种酚类衍生物(包括苯酚、邻苯二酚、愈创木酚、丁香酚和香草醛)及其混合物的电催化加氢机制的进一步研究中发现,模型化合物的电催化转化率与苯环上官能团的复杂程度成反比。在其中结构最简单的苯酚具有最高的转化率(89.34%),而由于结构更复杂,香草醛的转化率最低,仅为46.79%。同时,在多组分混合物的电催化加氢研究中发现,模型化合物的协同和竞争机制将显著影响各自的转化率。

关键词：电催化加氢脱氧酚类衍生物混合模型化合物产物选择性

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新时代专业学位硕士研究生导师评价机制的反思与建构

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考试研究 2024年第4期20卷 67-74页

作者：赵立彬陈冠益陈相霓天津商业大学研究生处天津300134 天津商业大学天津300134 天津市教育招生考试院研究生招生管理处天津300387

研究生教育在培养创新人才和推进国家治理体系以及治理能力现代化方面具有重要作用。研究生指导教师作为研究生培养的第一责任人,对于研究生教育高质量发展起着关键作用。现有的导师评价机制,对专业学位研究生导师与学术学位研究生导师... 详细信息

研究生教育在培养创新人才和推进国家治理体系以及治理能力现代化方面具有重要作用。研究生指导教师作为研究生培养的第一责任人,对于研究生教育高质量发展起着关键作用。现有的导师评价机制,对专业学位研究生导师与学术学位研究生导师的评价还存在同质化、分类评价区分不突出等问题,导师评价机制与人才培养需求的契合度还不够高。遵循新时代研究生教育教学规律,反思专业学位研究生导师评价机制及执行过程中存在的问题,从评价主体、评价导向、评价要素和组织实施等方面入手,探索建立针对专业学位研究生导师的科学评价机制。

关键词：专业学位研究生导师评价机制

State-of-the-art applications of machine learning in the life cycle of solid waste management

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Frontiers of Environmental Science & Engineering 2023年第4期17卷 53-69页

作者： Rui Liang Chao chen Akash Kumar Junyu Tao Yan Kang Dong Han Xianjia Jiang Pei Tang Beibei Yan guanyi chen School of Environmental Science and Engineering Tianjin UniversityTianjin 300350China School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China Tianjin Key Laboratory of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology Tianjin 300072China School of Science Tibet UniversityLhasa 850012China

Due to the superiority of machine learning(ML)data processing,it is widely used in research of solid waste(SW).This study analyzed the research and developmental progress of the applications of ML in the life cycle of *** analyses were undertaken on the literature published between 1985 and 2021 in the Science Citation Index Expanded and Social Sciences Citation Index to provide an overview of the *** on the articles considered,a rapid upward trend from 1985 to 2021 was found and international cooperatives were found to have *** three topics of ML,namely,SW categories,ML algorithms,and specific applications,as applied to the life cycle of SW were *** has been applied during the entire SW process,thereby affecting its life *** was used to predict the generation and characteristics of SW,optimize its collection and transportation,and model the processing of its energy ***,the current challenges of applying ML to SW and future perspectives were *** goal is to achieve high economic and environmental benefits and carbon reduction during the life cycle of *** plays an important role in the modernization and intellectualization of SW *** is hoped that this work would be helpful to provide a constructive overview towards the state-of-the-art development of SW disposal.

关键词： Machine learning(ML) Solid waste(SW) Bibliometrics SW management Energy utilization Life cycle

New insight into the synergy of nitrogen-related sites on biochar surface for sulfamethoxazole adsorption from water

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中国化学快报:英文版 2023年第9期34卷 254-257页

作者： Chuanbin Wang Lingchao Kong Yanshan Wang Xiaoqiang Cui Ning Li Beibei Yan guanyi chen School of Environmental Science and Engineering/Tianjin Engineering Research Center of Bio Gas/Oil Technology Tianjin UniversityTianjin 300072China School of Environmental Science&Engineering Southern University of Science and TechnologyShenzhen 518055China Georgia Tech Shenzhen Institute Tianjin UniversityShenzhen 518071China School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China School of Science Tibet UniversityLhasa 850012China

In-depth exploration of the relationship among different adsorption sites is conducive to design of efficient adsorbents for target pollutants removal from *** this study,the experiments,multivariate non-linear regression and density functional theory calculations are applied to explore the possible synergistic effects of three nitrogen(N)-containing sites on cow dung biochar surface for sulfamethoxazole(SMX)***,a strong synergistic effect between pyridinic N and pyrrolic N sites was found for sulfamethoxazole *** adsorption energies of SMX on four pyrrolic N-coupled pyridinic N structures were-1.02,-0.41,-0.49 and-0.72 e V,much higher than the sum of adsorption energies(-0.31 e V)on pyrrolic N and pyridinic ***,the alteration of Mulliken charge revealed that the simultaneous presence of pyridinic N and pyrrolic N improved the electron transfer remarkably from-0.459 e and 0.094 e to-0.649 e and 0.186 e,benefiting for SMX *** work firstly explored the possible synergies of adsorption sites on biochar surface for organic contaminants removal from water,which shed new lights on the adsorption mechanism and provided valuable information to design efficient adsorbents in the field of water treatment.

关键词： Synergy Pyrrolic N Pyridinic N Biochar Adsorption

双向孟德尔随机化分析胃癌和肌肉减少症的遗传因果关系

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医学临床研究 2024年第6期41卷 838-841,845页

作者：徐宏陈鹳颐吴晓欣李辉毛新展中南大学湘雅医学院湖南长沙410000 中南大学湘雅二医院骨科湖南长沙410011

【目的】采用两样本双向孟德尔随机化(MR)分析遗传层面上肌肉减少症与胃癌之间的潜在因果关系。【方法】从公开发布的全基因组关联研究(GWAS)统计数据获取显著性的工具变量(IV)进行两样本MR分析,采用Cochran's Q检验等方法进行敏感性分... 详细信息

【目的】采用两样本双向孟德尔随机化(MR)分析遗传层面上肌肉减少症与胃癌之间的潜在因果关系。【方法】从公开发布的全基因组关联研究(GWAS)统计数据获取显著性的工具变量(IV)进行两样本MR分析,采用Cochran's Q检验等方法进行敏感性分析保证IV符合三大假设,采用逆方差加权(IVW)等方法评估胃癌和肌肉减少症之间的双向因果关系。【结果】正向MR分析结果显示:胃癌与四肢肌肉质量(ALM)(OR=-0.019,P=0.446)、左手握力(OR=-0.008,P=0.059)、右手握力(OR=-0.010,P=0.220)未发现因果关系(P>0.05);反向MR分析中也未发现上述指标的因果关系(P>0.05)。【结论】胃癌与肌肉减少症在遗传层面上无直接因果关系。

关键词：胃肿瘤肌减少症孟德尔随机化分析遗传

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机器学习在建筑垃圾处理领域的应用与现状

环境卫生工程 2024年第2期32卷 10-19页

作者：许亚如陶俊宇梁蕊程占军颜蓓蓓陈冠益天津商业大学机械工程学院天津300134 天津大学环境科学与工程学院天津300072 天津市生物质废弃物利用重点实验室天津市生物气/油技术工程研究中心天津300072

建筑垃圾产生量巨大,成分复杂,如果不能妥善处理,其中的沥青、石膏、重金属、油漆等物质会与周围空气、土壤、水体反应并产生有害物质,严重危害人类的生存环境。我国“无废城市”的建设要求明确提出要建设固体废物综合管理体系以提升废... 详细信息

建筑垃圾产生量巨大,成分复杂,如果不能妥善处理,其中的沥青、石膏、重金属、油漆等物质会与周围空气、土壤、水体反应并产生有害物质,严重危害人类的生存环境。我国“无废城市”的建设要求明确提出要建设固体废物综合管理体系以提升废弃物的资源利用率的策略。建筑垃圾作为我国体量最大的城市固体废物,已成为被重点关注的对象,实现建筑垃圾资源化利用迫在眉睫。传统的建筑垃圾资源化处置通过人工、机械将建筑垃圾分类后再对建筑垃圾进行资源化利用,过程中存在管理难度大、效率低、成本过高等问题。机器学习作为人工智能的核心,已经逐渐应用到建筑垃圾处理的各个环节中,能有效提高建筑垃圾的资源化利用率。对建筑垃圾和机器学习的基本情况进行描述,介绍了建筑垃圾处理的过程,对机器学习在建筑垃圾处理领域的研究进展进行综述。最后结合我国国情,针对建筑垃圾处理领域提出几点建议,以期为实现建筑垃圾处理领域的自动化、智能化提供参考。

关键词：机器学习建筑垃圾人工智能资源化利用

TLR_(4)信号通路预测多囊卵巢综合征合并不明原因复发性流产的价值

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实用妇科内分泌电子杂志 2024年第1期11卷 26-28页

作者：郭琳茹黄小燕郭基凤李丽转林容妃陈官易鹤山市人民医院妇科广东鹤山529700

目的分析预测多囊卵巢综合征(PCOS)合并不明原因复发性流产(URSA)中Toll样受体4(TLR_(4))信号通路的应用价值。方法选取56例PCOS合并URSA患者作为观察组;另选取同期本院进行产检的46例PCOS正常妊娠患者作为对照组。分析PCOS合并URSA多因... 详细信息

目的分析预测多囊卵巢综合征(PCOS)合并不明原因复发性流产(URSA)中Toll样受体4(TLR_(4))信号通路的应用价值。方法选取56例PCOS合并URSA患者作为观察组;另选取同期本院进行产检的46例PCOS正常妊娠患者作为对照组。分析PCOS合并URSA多因素;观察NF-kB上升、TLR_(4)上升、联合对PCOS合并URSA的预测。结果多因素Logistic回归分析显示:NF-kB上升、TLR_(4)上升、胰岛素抵抗、吸烟、饮酒、体质量指数(BMI)上升是PCOS合并URSA的影响因素(OR=3.445、2.956、2.514、1.786、1.685、2.135,P<0.05)。对PCOS合并URSA的预测,TLR_(4)及NF-kB有着预测价值,联合两项指标预测效能较单独使用效果更好。结论TLR_(4)信号通路在对PCOS合并URSA预测中具有一定的应用价值。

关键词：多囊卵巢综合征 TLR_(4)信号通路复发性流产