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An advanced anaerobic biofilter with effluent recirculation for phenol removal and methane production in treatment of coal gasification wastewater

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Journal of Environmental Sciences 2016年第9期28卷 23-33页

作者： yajie li Salma Tabassum Zhenjia Zhang School of Environmental Science and Engineering Shanghai Jiao Tong University LCM-Laboratory of Catalysis and Materials Associate Laboratory LSRE-LCMDepartamento de Engenharia QuímicaFaculdade de EngenhariaUniversidade do Porto

An advanced anaerobic biofilter（AF） was introduced for the treatment of coal gasification wastewater（CGW）,and effluent recirculation was adopted to enhance phenol removal and methane *** results indicated that AF was reliable in treating diluted CGW,while its efficiency and stability were seriously reduced when directly treating raw ***,its performance could be greatly enhanced by effluent *** optimal effluent recirculation of 0.5 to the influent,concentrations of chemical oxygen demand（COD） and total phenol in the effluent could reach as low as 234.0 and 14.2 mg/L,***,the rate of methane production reached 169.0 m L CH_4/L/*** CGW seemed to restrain the growth of anaerobic microorganisms,especially methanogens,the inhibition was temporary and reversible,and anaerobic bacteria presented strong *** activities of methanogens cultivated in CGW could quickly recover on feeding with glucose wastewater（GW）.However,the adaptability of anaerobic bacteria to the CGW was very poor and the activity of methanogens could not be improved by long-term *** analysis using the Haldane model,it was further confirmed that high effluent recirculation could result in high activity for hydrolytic bacteria and substrate affinity for toxic matters,but only suitable effluent recirculation could result in high methanogenic activity.

关键词： Coal gasification wastewater Effluent recirculation Methane production Anaerobic biofilters

Inhibitory effect of high phenol concentration in treating coal gasification wastewater in anaerobic biofilter

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Journal of Environmental Sciences 2018年第2期30卷 207-215页

作者： yajie li Salma Tabassum Chunfeng Chu Zhenjia Zhang School of Environmental Science and Engineering Suzhou University of Science and Technology School of Environmental Science and Engineering Shanghai Jiao Tong University

In this paper, the inhibition of methanogens by phenol in coal gasification wastewater（CGW）was investigated by both anaerobic toxicity tests and a lab-scale anaerobic biofilter reactor（AF）. The anaerobic toxicity tests indicated that keeping the phenol concentration in the influent under 280 mg/L could maintain the methanogenic activity. In the AF treating CGW,the result showed that adding glucose solution as co-substrate could be beneficial for the quick start-up of the reactor. The effluent chemical oxygen demand（COD） and total phenol reached1200 and 100 mg/L, respectively, and the methane production rate was 175 m L CH4/g COD/***, if the concentration of phenol was increased, the inhibition of anaerobic micro-organisms was irreversible. The threshold of total phenol for AF operation was 200–250 mg/L. The extracellular polymeric substances（EPS） and particle size distribution of anaerobic granular sludge in the different stages were also examined, and the results indicated that the influence of toxicity in the system was more serious than its effect on flocculation of EPS. Moreover, the proportion of small size anaerobic granular sludge gradually increased from10.2% to 34.6%. The results of high through-put sequencing indicated that the abundance of the Chloroflexi and Planctomycetes was inhibited by the toxicity of the CGW, and some shifts in the microbial community were observed at different stages.

关键词： Inhibition Phenol Co-digestion Anaerobic biofilters Coal gasification wastewater

Unified Picture on Temperature Dependence of lithium Dendrite Growth via Phase-Field Simulation

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Energy Material Advances 2023年第1期4卷 438-445页

作者： yajie li Wei Zhao Geng Zhang Siqi Shi School of Materials Science and Engineering Shanghai UniversityShanghai 200444China Clean Combustion Research Center(CCRC) Physical Sciences and Engineering Division(PSE)King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Materials Genome Institute Shanghai UniversityShanghai 200444China

lithium dendrite growth due to uneven electrodeposition may penetrate the separator and solid electrolyte,causing inner short circuit and potential thermal *** great electrochemical phase-field simulation efforts devoted to exploring the dendrite growth mechanism under the temperature field,no unified picture has *** example,it remains open how to understand the promotion,inhibition,and dual effects of increased temperature on dendrite growth when using different electrolyte ***,by comprehensively considering the temperature-dependent li_(+)diffusion coefficient,electrochemical reaction coefficient,and initial temperature distribution in phase-field model,we propose that the activation-energy ratio,defined as the ratio of electrochemical reaction activation energy to electrolyte li+diffusion activation energy,can be used to quantify the effect of temperature on dendrite ***,we establish a mechanism diagram correlating the activation-energy ratio,uniform initial temperature,and maximum dendrite height,which unifies the seemingly contradictory simulation ***,results based on nonuniform initial temperature distribution indicate that a positive temperature gradient along the discharging current facilitates uniform li+deposition and local hotspot should be *** findings provide valuable insights into the temperature-dependent li dendrite growth and contribute to the practical application of li metal batteries.

关键词： electrolyte lithium activation

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不同频率电刺激促进周围神经损伤的恢复

中国组织工程研究 2025年第14期29卷 3061-3069页

作者：刘敏琦高明威褚晓蕾邢政李世浩丁宁李亚杰李奇天津体育学院运动健康学院天津市301617 天津大学天津医院康复医学科天津市300211

背景:电刺激是治疗周围神经损伤有效的治疗方案,但不同频率电刺激促进周围神经恢复的机制和应用不同。目的:旨在系统梳理和总结不同频率电刺激在周围神经损伤治疗中的作用和应用,深入分析各种方法的优缺点,以期找到最有利于患者神经恢... 详细信息

背景:电刺激是治疗周围神经损伤有效的治疗方案,但不同频率电刺激促进周围神经恢复的机制和应用不同。目的:旨在系统梳理和总结不同频率电刺激在周围神经损伤治疗中的作用和应用,深入分析各种方法的优缺点,以期找到最有利于患者神经恢复的治疗策略。方法:应用计算机检索中国知网、PubMed数据库自建库至2024年5月期间的相关文献,英文检索词为“peripheral nerve injury,electrical stimulation,low frequency electrical stimulation,medium frequency electrical stimulation,high frequency electrical stimulation,TENS,interfering electricity,short wave,ultrashort wave,frequency”,中文检索词为“周围神经损伤,电刺激,低频电刺激,中频电刺激,高频电刺激,干扰电疗法,短波,超短波,频率,周围神经再生”,最终纳入74篇文献进行分析。结果与结论:周围神经损伤作为临床中常见的疾病,会引起患者感觉与运动功能障碍。低频电刺激能够促进电刺激后细胞增殖并加速细胞内神经生长因子表达,促进巨噬细胞募集和浸润,加速髓磷脂碎片的清除,促进受损轴突的髓鞘再生。中频电刺激能够作用于更深部位组织,对于缓解神经性疼痛方面更佳。高频电刺激能够促进施万细胞和巨噬细胞增殖并抑制炎性因子,更快募集到神经损伤部位,加快神经修复的速度。不同频率的电刺激在周围神经损伤恢复中各具优点,但是仍存在一些问题,例如电刺激的部位以及应对各种疾病类型的方案不同等。

关键词：周围神经损伤电刺激频率低频电刺激神经再生周围神经

Preparation of Y^(3+)-doped Bi-_(2)MoO_(6) nanosheets for improved visible-light photocatalytic activity: Increased specific surface area, oxygen vacancy formation and efficient carrier separation

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International Journal of Minerals,Metallurgy and Materials 2023年第9期30卷 1824-1834页

作者： Hong Qiu Shujing liu Xiaohui Ma yajie li Yueyan Fan Wenjun li Hualei Zhou Department of Chemistry and Chemical Engineering School of Chemistry and Biological EngineeringUniversity of Science and Technology BeijingBeijing 100083China College of Applied Science and Technology Beijing Union UniversityBeijing 100012China BGRIMM MTC Technology Co. Ltd.Beijing 102680China

Although Bi_(2)Mo O_(6)(BMO) has recently received extensive attention, its visible-light photocatalytic activity remains poor due to its limited photoresponse range and low charge separation efficiency. In this work, a series of visible-light-driven Y^(3+)-doped BMO(Y-BMO) photocatalysts were synthesized via a hydrothermal method. Degradation experiments on Rhodamine B and Congo red organic pollutants revealed that the optimal degradation rates of Y-BMO were 4.3 and 5.3 times those of pure BMO, respectively. The degradation efficiency of Y-BMO did not significantly decrease after four cycle experiments. As a result of Y^(3+)doping, the crystal structure of BMO changed from a thick layer structure to a thin flower-like structure with an increased specific surface area. X-ray photoelectron spectroscopy showed the presence of highintensity peaks for the O 1s orbital at 531.01 and 530.06 eV, confirming the formation of oxygen vacancies in Y-BMO. Photoluminescence(PL) and electrochemical impedance spectroscopy measurements revealed that the PL intensity and interface resistances of composites decreased significantly, indicating reduced electron–hole pair recombination. This work provides an effective way to prepare high-efficiency Bibased photocatalysts by doping rare earth metal ions for improved photocatalytic performance.

关键词： photocatalysts dye sensitization bismuth molybdate yttrium-doped

Blind Nonlinearity Equalization by Machine-Learning-Based Clustering for QAM-Based Quantum Noise Stream Cipher Transmission

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China Communications 2022年第8期19卷 127-137页

作者： yajie li Shoudong liu Yongli Zhao Chao Lei Jie Zhang State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and TelecommunicationsBeijing 100876China

In quantum noise stream cipher(QNSC)systems,it is difficult to compensate fiber nonlinearity by digital signal processing(DSP)due to interactions between chromatic dispersion(CD),amplified spontaneous emission(ASE)noise from erbiumdoped fiber amplifier(EDFA)and Kerr *** equalizer(NLE)based on machine learning(ML)algorithms have been extensively ***,most NLE based on supervised ML algorithms have high training overhead and computation *** addition,the performance of these algorithms have a lot of *** paper proposes two clustering algorithms based on Fuzzylogic C-Means Clustering(FLC)to compensate the fiber nonlinearity in quadrature amplitude modulation(QAM)-based QNSC system,including FLC based on subtractive clustering(SC)and annealing evolution(AE)*** performance of FLC-SC and FLC-AE are evaluated through simulation and *** proposed algorithms can promptly obtain suitable initial centroids and choose optimal initial centroids of the clusters to achieve the global optimal initial centroids especially for high order modulation *** the simulation,different parameter configurations are considered,including fiber length,optical signal-to-noise ratio(OSNR),clipping ratio and resolution of digital to analog converter(DAC).Further-more,we measure the Q-factor of transmission signal with different launched powers,DAC resolution and laser linewidth in the optical back-to-back(BTB)experiment with 80-km single mode *** simulation and experimental results show that the proposed techniques can greatly mitigate the signal impairments.

关键词： fiber nonlinear optics machine learning optical fiber communication unsupervised learning

Prediction Model of Refined Gasoline Blending Formula Based on PSO-DBN

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China Petroleum Processing & Petrochemical Technology 2022年第3期24卷 128-138页

作者： Wang Xiaoming li Wei li yajie Jiang Dongnian liang Chenglong School of Future Techrology South China University of TechnologyGuangzhou 510641 Pengcheng Laboratory Shenzhen 518000 College of Electrical and Information Engineering Lanzhou University of TechnologyLanzhou730050 Oil Storage and Transportation Plant PetroChina Lanzhou Petrochemical CompanyLanzhou730060

To address the problem of the low accuracy of refined gasoline blending formula in the petrochemical industry,the advantages of deep belief networks(DBNs)in feature extraction and nonlinear processing are considered,and they are applied to the prediction modeling of refined gasoline blending conservative ***,based on historical measured data of refined gasoline blending and according to the characteristics of the data set,we use bootstrapping to divide the training data set and the test data ***,considering that parameter selection for the network is difficult,particle swarm optimization is adopted to improve the related optimal parameters and replace the tedious process of manually selecting parameters,greatly improving optimization *** addition,the contrastive divergence algorithm is used for unsupervised forward feature learning and supervised reverse fine-tuning of the network,so as to construct a more accurate prediction model for conservative ***,in order to evaluate the effectiveness of this method,the simulation results are compared with those of traditional modeling methods,which show that the DBNs has better prediction performance than error back propagation and support vector machines,and can provide production guidance for refined gasoline blending formula.

关键词： formulation prediction deep belief network contrastive divergence particle swarm optimization

Mg-li Hybrid Batteries:The Combination of Fast Kinetics and Reduced Overpotential

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Energy Material Advances 2022年第1期2022卷 388-405页

作者： yajie li Yongjian Zheng Kai Guo Jingtai Zhao Chilin li State Key Laboratory of High-Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 201899China School of Materials Science and Engineering Shanghai UniversityShanghai 200444China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China CAS Key Laboratory of Materials for Energy Conversion Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 201899China School of Physics and Materials Science Guangzhou UniversityGuangzhou 510006China School of Materials Science and Engineering Guilin University of Electronic TechnologyGuilin 541004China

It is imperative for the development of cost-effective and high-performance ***,lithium-ion batteries still occupy most of the ***,limited lithium(li)resource and energy density retard their further *** magnesium(Mg)metal has several significant advantages;those make it a viable alternative to li as anode,including high volume specific capacity and dendrite-free plating during cycling and high *** Mg-li hybrid batteries can combine the advantages of li ion and Mg metal to achieve fast electrode kinetics and smooth anode deposition *** review summarizes recent progresses in cathode material design and anode interface modification for Mg-li hybrid *** aim to illustrate the contribution of li^(+)to the electrochemical performance improvement at both cathode and anode sides and to provide inspiration for the future research in this field.

关键词： cycling lithium Kinetics

Phosphorus induced activity-enhancement of Fe-N-C catalysts for high temperature polymer electrolyte membrane fuel cells

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Nano Research 2023年第5期16卷 6531-6536页

作者： Xiangrong Jin yajie li Hao Sun Xiangxiang Gao Jiazhan li Zhi Lü Wen liu Xiaoming Sun State Key Laboratory of Chemical Resource Engineering College of ChemistryBeijing University of Chemical TechnologyBeijing 100029China Engineering Research Center of Advanced Rare Earth Materials Department of ChemistryTsinghua UniversityBeijing 100084China

Fe-N-C materials with atomically dispersed Fe–N_(4) sites could tolerate the poisoning of phosphate,is regarded as the most promising alternative to costly Pt-based catalysts for the oxygen reduction in high temperature polymer electrolyte membrane fuel cells(HT-PEMFCs).However,they still face the critical issue of insufficient activity in phosphoric ***,we demonstrate a P-doping strategy to increase the activity of Fe-N-C catalyst via a feasible one-pot method.X-ray absorption spectroscopy and electron microscopy with atomic resolution indicated that the P atom is bonded with the N in Fe–N_(4) site through C *** as prepared Fe-NCP catalyst shows a half-wave potential of 0.75 V(*** hydrogen electrode(RHE),0.1 M H_(3)PO_(4)),which is 60 and 40 mV higher than that of Fe-NC and commercial Pt/C catalysts,*** importantly,the Fe-NCP catalyst could deliver a peak power density of 357 mW·cm^(−2)in a high temperature fuel cell(160℃),exceeding the non-noble-metal catalysts ever *** enhancement of activity is attributed to the increasing charge density and poisoning tolerance of Fe–N_(4) caused by neighboring *** work not only promotes the practical application of Fe-N-C materials in HT-PEMFCs,but also provides a feasible P-doping method for regulating the structure of single atom site.

关键词： iron nitrogen carbon heteroatomic doping phosphorous tolerance high temperature polymer electrolyte membrane fuel cells