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基于同步辐射技术研究金属锌蒸汽在飞灰小颗粒表面的凝结特性（英文）

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2015年第1期16卷 70-80页

作者： Xu CAI qun-xing huang Moussa-mallaye ALHADJ-MALLAH Yong CHI Jian-hua YAN State Key Laboratory of Clean Energy Utilization Institute for Thermal Power EngineeringZhejiang University

目的:寻找金属污染物在热转化过程中的生成和迁移规律,为可燃固体废弃物高效清洁能源化利用提供科学指导。方法:飞灰采自两台不同类型在运行固废焚烧炉;采样关位置位于烟气净化系统之前以规避干扰;利用同步辐射技术中的X射线近边吸收结... 详细信息

目的:寻找金属污染物在热转化过程中的生成和迁移规律,为可燃固体废弃物高效清洁能源化利用提供科学指导。方法:飞灰采自两台不同类型在运行固废焚烧炉;采样关位置位于烟气净化系统之前以规避干扰;利用同步辐射技术中的X射线近边吸收结构和吸收精细结构谱图结合热力学模拟对金属锌的形态进行分析和研究。结论:1.金属锌在炉排炉飞灰小颗粒上主要以氯化物形式存在,而在流化床飞灰小颗粒上是以铝硅酸盐为主;2.燃烧过程中的高硫氮比能够有效减少锌有毒形态的生成;3.硅、铝和钙基材料是锌蒸汽有效的吸附剂。

关键词：锌形态冷凝特性同步辐射固体废弃物

危险废物焚烧炉含氟废物焚烧过程中氟的演化及分布特征（英文）

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2019年第8期20卷 564-576页

作者： Wen-han LI Zeng-yi MA Jian-hua YAN qun-xing huang Xu-guang JIANG State Key Laboratory of Clean Energy Utilization Institute for Thermal Power EngineeringZhejiang University

目的:含氟废物焚烧过程排放的氟化物会危害人体健康,造成环境污染。本文旨在探究含氟废物焚烧过程中氟的析出特性、氟在焚烧系统中的分布特征以及氟在焚烧灰渣中的赋存形态。这对评估含氟废物在焚烧过程中造成的氟污染以及污染控制具有... 详细信息

目的:含氟废物焚烧过程排放的氟化物会危害人体健康,造成环境污染。本文旨在探究含氟废物焚烧过程中氟的析出特性、氟在焚烧系统中的分布特征以及氟在焚烧灰渣中的赋存形态。这对评估含氟废物在焚烧过程中造成的氟污染以及污染控制具有重要意义。创新点:1.系统研究了氟在焚烧过程中的释放特征以及氟在整个焚烧系统中的质量流,对评估焚烧过程中的氟污染及污染控制具有重要意义;2.系统研究了焚烧灰渣中氟的赋存形态,为后续灰渣中氟污染控制研究奠定基础。方法:1.采用热重红外联用方法,分析研究含氟废物热解过程中氟的析出特性(图4和6);2.采用高温燃烧水解-离子色谱的方法,测定焚烧灰渣中的氟含量,并结合灰渣量等数据,得到氟在焚烧系统的分布特征(图10和11);3.采用连续化学萃取法,得到焚烧灰渣中氟的赋存形态(图12和13)。结论:1.热解过程中,含氟废物中氟主要以氟化氢和氟化硅形式释放;氟化氢的释放可以分为3个温度区:123.5~757.5°C、757.5~959.6°C及959.6°C以上;氟化硅的释放主要集中在132.6~684.0°C。2.焚烧过程中,超过79.17%的氟被湿法脱酸系统吸收,不到20.73%的氟存在于焚烧灰渣中;排放到大气中的氟占比小于0.12%。3.底渣和燃尽室灰中的氟主要以残余态存在;余热锅炉灰和布袋飞灰中水溶态、交换态和酸溶态氟的比例之和均在80%以上。

关键词：氟污染危废焚烧含氟废物释放特性分布特性

Over-expression of the AtGA2ox8 gene decreases the biomass accumulation and lignification in rapeseed (Brassica napus L.)

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2010年第7期11卷 471-481页

作者： Xiao-ying ZHAO Deng-feng ZHU Bo ZHOU Wu-sheng PENG Jian-zhong LIN xing-qun huang Re-qing HE Yu-hong ZHUO Dan PENG Dong-ying TANG Ming-fang LI Xuan-ming LIU Bioenergy and Biomaterial Research Center Institute of Life Science and Technology State Key Laboratory of Chemo/Biosensing and Chemometrics Hunan University Changsha 410082 China Institute of Tropical Bioscience and Biotechnology Chinese Academy of Tropical Agricultural Sciences Haikou 5 71101 China Academy of Seed Industry of Hunan Yahua Changsha 410001 China

Gibberellin 2-oxidase (GA 2-oxidase) plays very important roles in plant growth and development. In this study, the AtGA2ox8 gene, derived from Arabidopsis (Arabidopsis thaliana), was transformed and over-expressed in rapeseed (Brassica napus L.) to assess the role of AtGA2ox8 in biomass accumulation and lignification in plants. The transgenic plants, identified by resistant selection, polymerase chain reaction (PCR) and reverse-transcription PCR (RT-PCR) analyses, and green fluorescence examination, showed growth retardation, flowering delay, and dwarf stature. The fresh weight and dry weight in transgenic lines were about 21% and 29% lower than those in wild type (WT), respectively, and the fresh to dry weight ratios were higher than that of WT. Quantitative measurements demonstrated that the lignin content in transgenic lines decreased by 10%-20%, and histochemical staining results also showed reduced lignification in transgenic lines. Quantitative real-time PCR analysis indicated that the transcript levels of lignin biosynthetic genes in transgenic lines were markedly decreased and were consistent with the reduced lignification. These results suggest that the reduced biomass accumulation and lignification in the AtGA2ox8 over-expression rapeseed might be due to altered lignin biosynthetic gene expression.

关键词： Rapeseed AtGA2ox8 Biomass Lignification Gibberellins

A novel time-span input neural network for accurate municipal solid waste incineration boiler steam temperature prediction

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2021年第10期22卷 777-791页

作者： Qin-xuan HU Ji-sheng LONG Shou-kang WANG Jun-jie HE Li BAI Hai-liang DU qun-xing huang State Key Laboratory of Clean Energy Utilization Institute of Thermal EngineeringZhejiang UniversityHangzhou 310027China Shanghai SUS Environment Co.Ltd. Shanghai 201703China

A novel time-span input neural network was developed to accurately predict the trend of the main steam temperature of a 750-t/d waste incineration *** historical operating data were used to retrieve sensitive parameters for the boiler output steam temperature by correlation ***,the 15 most sensitive parameters with specified time spans were selected as neural network *** external testing set was introduced to objectively evaluate the neural network prediction *** results show that,compared with the traditional prediction method,the time-span input framework model can achieve better prediction performance and has a greater capability for *** maximum average prediction error can be controlled below 0.2°C and 1.5°C in the next 60 s and 5 min,*** addition,setting a reasonable terminal training threshold can effectively avoid *** importance analysis of the parameters indicates that the main steam temperature and the average temperature around the high-temperature superheater are the two most important variables of the input parameters;the former affects the overall prediction and the latter affects the long-term prediction performance.

关键词： Waste incineration grate furnace Neural network Time-span input Main steam temperature Prediction

Method for determining effective flame emissivity in a rotary kiln incinerator burning solid waste

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2012年第12期13卷 969-978页

作者： Jin-cai DU1,2,qun-xing huang1,Jian-hua YAN1 (1State Key Laboratory of Clean Energy Utilization,Zhejiang University,Hangzhou 310027,China) (2School of Aeronautics and Astronautics,Zhejiang University,Hangzhou 310027,China) 1. State Key Laboratory of Clean Energy Utilization Zhejiang University Hangzhou 310027 China 2. School of Aeronautics and Astronautics Zhejiang University Hangzhou 310027 China

Temperature is the most important parameter for the improvement of combustion efficiency and the control of *** order to obtain accurate flame temperatures in a rotary kiln incinerator using non-intrusive thermographic method,the effective flame emissivity was studied.A combined narrow-and wide-band model and Mie scattering method were used to calculate the radiative properties for gases and fly-ash particles under different combustion *** effects of the air/waste ratio and fly-ash particles on the effective flame emissivity were *** results of numerical calculations showed that the effective emissivity decreased from 0.90 to 0.80 when the air/waste ratio increased from 1.0 to 1.8,and the effect of the fly-ash particles was ignorable under the conditions discussed in this *** measurement results indicated that the accuracy of the thermographic temperature measurements improved significantly if the setting of the flame emissivity was adjusted according to the air/waste ratio.

关键词： Thermographic temperature measurement Effective flame emissivity Rotary kiln incinerator Air/waste equivalenceratio

Identifying the dynamic behaviors in complete reconstruction of Co-based complex precatalysts during electrocatalytic oxygen evolution

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Journal of Energy Chemistry 2025年第1期100卷 226-233页

作者： Jingfang Zhang Danyang Wu Linke Cai Youluan Lu Fanpeng Cheng Lijuan Shi qun Yi Yao Liu Yi huang Key Laboratory of Green Chemical Engineering Process of Ministry of Education Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education Hubei Key Laboratory of Novel Reactor and Green Chemical Technology School of Chemical Engineering & Pharmacy Wuhan Institute of Technology Key Laboratory of Pesticide & Chemical Biology of Ministry of Education Engineering Research Center of Photoenergy Utilization for Pollution Control and Carbon Reduction of Ministry of Education College of Chemistry Central China Normal University College of Materials Science and Engineering Fuzhou University

Transition metal-based nanomaterials have emerged as promising electrocatalysts for oxygen evolution reaction（OER）. Considerable research efforts have shown that self-reconstruction occurs on these nanomaterials under operating conditions of OER process. However, most of them undergo incomplete reconstruction with limited thickness of reconstruction layer, leading to low component utilization and arduous exploration of real catalytic mechanism. Herein, we identify the dynamic behaviors in complete reconstruction of Co-based complexes during OER. The hollow phytic acid（PA） cross-linked CoFe-based complex nanoboxes with porous nanowalls are designed because of their good electrolyte penetration and mass transport ability, in favor of the fast and complete reconstruction. A series of experiment characterizations demonstrate that the reconstruction process includes the fast substitution of PA by OH-to form Co（Fe）(OH)xand subsequent potential-driven oxidation to Co（Fe）OOH. The obtained CoFeOOH delivers a low overpotential of 290 mV at a current density of 10 mA cm-2and a long-term *** experiment results together with theory calculations reveal that the Fe incorporation can result in the electron rearrangement of reconstructed CoFeOOH and optimization of their electronic structure,accounting for the enhanced OER activity. The work provides new insights into complete reconstruction of metal-based complexes during OER and offers guidelines for rational design of high-performance electrocatalysts.

关键词： Oxygen evolution reaction

Insights into spinal muscular atrophy from molecular biomarkers

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Neural Regeneration Research 2025年第7期20卷 1849-1863页

作者： Xiaodong xing Xinzhu Liu Xiandeng Li Mi Li Xian Wu Xiaohui huang Ajing Xu Yan Liu Jian Zhang Department of Clinical Pharmacy Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghaiChina College of Pharmacy Chongqing Medical UniversityChongqingChina

Spinal muscular atrophy is a devastating motor neuron disease characterized by severe cases of fatal muscle *** is one of the most common genetic causes of mortality among infants aged less than 2 *** research is currently receiving more attention,and new candidate biomarkers are constantly being *** review initially discusses the evaluation methods commonly used in clinical practice while briefly outlining their respective pros and *** also describe recent advancements in research and the clinical significance of molecular biomarkers for spinal muscular atrophy,which are classified as either specific or non-specific *** review provides new insights into the pathogenesis of spinal muscular atrophy,the mechanism of biomarkers in response to drug-modified therapies,the selection of biomarker candidates,and would promote the development of future ***,the successful utilization of biomarkers may facilitate the implementation of gene-targeting treatments for patients with spinal muscular atrophy.

关键词： biomarkers disease progression gene-targeting therapy neurofilaments Nusinersen spinal muscular atrophy(SMA) survival motor neuron therapeutic evaluation treatment outcomes

A low redox potential and long life organic anode material for sodium-ion batteries

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Journal of Energy Chemistry 2025年第1期100卷 557-564页

作者： Zhi Li Yang Wei Kang Zhou Xin huang xing Zhou Jie Xu Taoyi Kong Junwei Lucas Bao Xiaoli Dong Yonggang Wang Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials Institute of New Energy Collaborative Innovation Center of Chemistry for Energy Materials (iChEM) Fudan University Department of Chemistry Boston College School of Materials Science and Engineering Anhui University of Technology

Sodium-ion batteries （SIBs） with organic electrodes are an emerging research direction due to the sustainability of organic materials based on elements like C,H,O,and sodium ***,organic electrode materials for SIBs are mainly used as cathodes because of their relatively high redox potentials（>1 V）.Organic electrodes with low redox potential that can be used as anode are ***,a novel organic anode material （tetrasodium 1,4,5,8-naphthalenetetracarboxylate,Na4TDC） has been developed with low redox potential （<0.7 V） and excellent cyclic *** three-sodium storage mechanism was demonstrated with various in-situ/ex-situ spectroscopy and theoretical calculations,showing a high capacity of 208 mAh/g and an average decay rate of merely 0.022%per ***,the Na4TDC-hard carbon composite can further acquire improved capacity and cycling stability for 1200 cycles even with a high mass loading of up to 20 mg *** pairing with a thick Na3V2（PO4）3cathode (20.6 mg cm-2),the as-fabricated full cell exhibited high operating voltage （2.8 V）,excellent rate performance and cycling stability with a high capacity retention of 88.7% after 200 cycles,well highlighting the Na4TDC anode material for SIBs.

关键词： Organic anode material Low redox potential Composite anode Sodium-ion batteries

细胞形态计量学对胸腹水鉴别诊断的Logistic回归分析

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中国卫生检验杂志 2017年第9期27卷 1279-1280,1283页

作者：刘超群黄星起吴茅钱海根沈刚臧敏金华市中医医院检验科浙江金华321000 浙江金华广福肿瘤医院检验科浙江金华321000 浙江省人民医院检验中心浙江杭州310014 金华市中医医院呼吸科浙江金华321000

目的建立细胞形态计量学对胸腹水鉴别诊断的Logistic回归模型。方法回顾性分析60例患者胸腹水的细胞形态参数,包括胞体大小、胞质特征、胞核大小、核质比、核仁/核、细胞核分裂象、细胞分布特点,通过多因素回归分析建立二分类Logistic... 详细信息

目的建立细胞形态计量学对胸腹水鉴别诊断的Logistic回归模型。方法回顾性分析60例患者胸腹水的细胞形态参数,包括胞体大小、胞质特征、胞核大小、核质比、核仁/核、细胞核分裂象、细胞分布特点,通过多因素回归分析建立二分类Logistic回归模型,评价回归模型预报良性、恶性胸腹水的效能。结果进入Logistic回归模型的5个参数分别为胞体大小、胞核大小、核质比、核仁/核、细胞分布特点,回归模型预报良性、恶性胸腹水的准确度、敏感度、特异度分别为90.0%、86.7%、93.3%,ROC曲线下面积为0.977。结论胸腹水细胞形态计量学的Logistic回归模型有助于胸腹水的良性、恶性鉴别诊断。

关键词：胸腹水 Logistic回归鉴别诊断细胞形态计量学