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Alkali-silica Reactivity of Different Aggregates from Mineral and Textural Characteristics

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Journal of Wuhan university of Technology(Materials Science) 2008年第6期23卷 901-906页

作者：莫祥银 analysis and testing center & Jiangsu Key Laboratory of Biofunctional Materials Nanjing Normal University

To identify the aggregates causing the alkali-silica reaction, and the reactivity of rocks in different parts of China, the mineral and texture characteristics of some typical coarse ag gregates and the alkali reactivity of these aggregates were systematically investigated. On one hand, petrographic examination of aggregates, combined with X-ray diffraction analysis, chemical analysis, scanning electron microscopy, was conducted for analyzing their mineralogy and texture. It was found that not only mineral characteristics, but also their interior structure would affect their potential alkali-silica reactivity. Furthermore, the alkali-silica reactivity of aggregates is due to their mineral compositions, such as containing different alkali-reactive minerals, while, different stuctures of those aggregates with similar minerals affect their reactivity to some extent. There are some amount of micro-aperture and cracks across the quartz in the aggregate, which may become the natural accesses for Na^＋, K^＋, and OH^- ions to intrude in the mortar or concrete during the process of alkali-silica reaction. Alkali-silica reactivity of the aggregates was detected by the accelerated mortar bars test. It was revealed that all the aggregates tested were alkali-silica reactive and the results were also in accordance with their mineral and structure analysis.

关键词： petrographic examination of aggregates study of thin sections x-ray diffraction analysis chemical analysis scanning electron microscopy

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熊果酸的Raman光谱和红外光谱结构特征比较

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光谱学与光谱分析 2002年第6期22卷 970-972页

作者：顾柏平朱亮柯惟忠陈建伟南京中医药大学基础医学院江苏南京210029 南京中医药大学药学院江苏南京210029 南京师范大学分析测试中心江苏南京210024

本文采用HRD2型双光栅单色仪测定了熊果酸的Raman光谱 ,得到熊果酸的特征Raman光谱结构 ,采用Philips 10 0型双光栅单色仪测定了熊果酸的IR光谱 ,得到熊果酸的特征IR光谱结构 ;解析了熊果酸的Raman光谱和IR光谱与其结构特征的关系 ,确... 详细信息

本文采用HRD2型双光栅单色仪测定了熊果酸的Raman光谱 ,得到熊果酸的特征Raman光谱结构 ,采用Philips 10 0型双光栅单色仪测定了熊果酸的IR光谱 ,得到熊果酸的特征IR光谱结构 ;解析了熊果酸的Raman光谱和IR光谱与其结构特征的关系 ,确定了熊果酸的Raman光谱和IR光谱的结构特征和官能团的归属 ,给出了熊果酸的两个基本骨架特征区域 (A区 :1386 ,1370 ,136 3cm- 1 ,B区 :130 4 ,12 6 9,12 37cm- 1 ) ;对熊果酸的Raman光谱和IR光谱作了比较研究 ,指出Raman光谱具有比IR光谱更为丰富的结构信息的特征 ,并且 ,IR光谱的主要特征峰在Raman光谱中均有对应的谱峰 ;Raman光谱的谱峰形态清晰可变 ,使熊果酸的主要结构和官能团得到准确的分析和指认 ,与IR光谱一样 ,Raman光谱是天然药物解析的有效手段之一。

关键词：熊果酸激光Raman光谱红外光谱结构解析天然药物

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Application of Thermogravimetry on the thermal stability and the Store Period of Milrinone

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Application of Thermogravimetry on the thermal stability and...

中国化学会第十五届全国化学热力学和热分析学术会议

作者： Fang Wang~1,Shasha Chen~2,DingYong Zhao~1 1.testing & analysis center,nanjing normal university,nanjing 210097,China 2.Department of Chemistry,nanjing Xiaozhuang university,nanjing 210017,China

＜正＞Millirinone is a kind of cardiotonic drug,which is belongs to bipyridyl ramification,a kind of new nondigitalis and uninteraction-amine *** the thermal stability and the kinetics of thermal decomposition of Milrinone,discussing the store period of drug in this *** could provide a reference to production and appraisal of Milrinone drug.

关键词： Milrinone TGA Kinetics Store period

Quantitative discrimination of surface adsorbed NO_(x) species on CeO_(2) via spectrophotometry for SCR denitration investigation

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Journal of Rare Earths 2024年第6期42卷 1066-1072,I0003页

作者： Songil Sin Jiawei Ji Lijun Cheng Zhiwen gu Chong Tan Kwangchol Ri Changjin Tang School of Environment Nanjing Normal UniversityNanjing210023China Department of Mining Engineering Kim Chaek University of TechnologyPyongyang999093Democratic People's Republic of Korea Laboratory of Mesoscopic Chemistry of MOE School of Chemistry and Chemical EngineeringNanjing UniversityNanjing20023China Institute of Chemical Engineering Hamhung University of Chemical EngineeringHamhungDemocratic People's Republic of Korea Jiangsu Province Engineering Research center of Environmental Risk Prevention and Emergency Response Technology Nanjing210023China

CeO_(2)-based catalysts are widely investigated for selective catalytic reduction(SCR)of NO with *** of NO/O_(2) with CeO_(2) generally produces two surface species,i.e.,nitrates and ***,the explicit quantification of these two species is still ***,we reported that spectrophotometry characterization was effective in determining surface adsorbed NOx species on CeO_(2) by measuring the corresponding ions(NO_(2)-and NO_(3)^(-))dissolved in aqueous *** results show that both nitrate(-NO_(3))and nitrite(-NO_(2))species can be quantitatively evaluated and the accuracy is verified by calibrating with NOx-TPD *** transfer of adsorbed NOx from catalyst surface to aqueous solution is confirmed and the dissolution process can be accelerated by ultrasonic ***,useful information related to evolution of surface NOx species under various conditions(O_(2) treatment,different adsorption temperature and duration)and over different catalysts(Fe_(2)O_(3),MnO_(2) and MnOx—CeO_(2))are *** result of present study demonstrates the potential of spectrophotometry for quantitative discrimination of surface NOx species on CeO_(2) and other oxide-based materials,which is conducive to mechanism analysis of SCR reaction.

关键词： Quantitative evaluation Spectrophotometry analysis Nitrate species Nitrite species CeO_(2)catalyst NH_(3)-SCR

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Interaction of Alisols and Hemoglobin using spectroscopic and molecular modeling methods

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Interaction of Alisols and Hemoglobin using spectroscopic an...

中药与天然药高峰论坛暨第十二届全国中药和天然药物学术研讨会

作者： Fei Xu~a,Lin-qun Zhang~(b,c),Wei gu~a,Qi-nan Wu~(a,*) a nanjing university of Chinese Medicine,nanjing 210046,China b School of Chemistry and Chemical Engineering,Southeast university,nanjing 210000,China c center for analysis and testing,nanjing normal university,nanjing 210097,China

Alisols are the main pharmaceutical components of Alisma,a well known herb in Traditional Chinese Medicine(TCM).This paper investigated the molecular interaction mechanism of Alisols and Hemoglobin(Hb)by using Fluorescence and Circular Dichroism spectra in combination with molecular modeling under the simulated physiological *** modeling results that were in agreement with the experimental results revealed that the binding of Alisol B 23-acetate and Hb was much more than that with Alisol A 24-acetate,indicating that the difference was related to the structure of the side chain of which the opened one leads to the strong binding while the folded to the weak so that the former may be the steering group of *** conclusion should be of great assistant for studying the clinical use of Alisma.

关键词： Alisol B 23-acetate Alisol A 24-acetate Fluorescence spectra Circular Dichroism spectra molecular modeling

A High-Affinity Methyl-CpG-Binding Protein for Endonuclease-Free and Label-Free DNA Methyltransferase Activity Detection

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Journal of analysis and testing 2024年第3期8卷 327-334页

作者： Yang Bai Shulin Tan Yingsong Sheng Yueqing gu Haiping Wu Baicun Li Yunlong Liu Department of Biomedical Engineering School of Engineering China Pharmaceutical University Department of Clinical Pharmacy Jinling Hospital State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine Medical School of Nanjing University School of Pharmaceutical Sciences Southern Medical University National center for Respiratory Medicine Center of Respiratory Medicine China-Japan Friendship Hospital

DNA methyltransferase(MTase) activity detection has received increasing attention as a promising biomarker and therapeutic target. However, most of these detection methods rely on endonuclease digestion and signal groups ***, we present a novel platform for sensing DNA MTase activity that overcomes these limitations. Our approach is both endonuclease-free and label-free, utilizing a combination of a high-affinity streptavidin-methyl-CpG-binding domain(SA-MBD) protein and surface plasmon resonance(SPR) technology. The SA-MBD protein specifically recognizes a hairpin probe containing methylated CpG sites, which is treated with *** MTase. This recognition event generates a corresponding SPR response signal. The limit of detection is as low as 0.016 U/mL, owing to the high-a ffinity of the SA-MBD ***, we have demonstrated the feasibility of our method for *** MTase activity analysis in serum and inhibitor screening, which implies the potential prospects for biomedical research.

关键词： Biosensing DNA methyltransferase Inhibitor screening Methyl-CpG-binding protein Surface plasmon resonance

Two new C-15 enolic acyl phragmalin-type limonoids from Chukrasia tabularis ***

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Two new C-15 enolic acyl phragmalin-type limonoids from Chuk...

中药与天然药高峰论坛暨第十二届全国中药和天然药物学术研讨会

作者： Jun Luo~a Yi Li~b Jun-Song Wang~a and Ling-Yi Kong~(a*) a Department of Natural Medicinal Chemistry China Pharmaceutical university 24 Tong Jia Xiang nanjing 210009 China b testing & analysis center nanjing normal university nanjing 210046 China

Two new C-15 enolic acyl phragmalin-type limonoid orthoesters,chukvelutilide G(1)and chukrasine F(2),were isolated from the stem barks of Chukrasia tabularis *** structures were eluc

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Two new C-15 enolic acyl phragmalin-type limonoids from Chukrasia tabularis ***

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Two new C-15 enolic acyl phragmalin-type limonoids from Chuk...

中药与天然药高峰论坛暨第十二届全国中药和天然药物学术研讨会

作者： Jun Luo~a,Yi Li~b,Jun-Song Wang~a,and Ling-Yi Kong~(a*) a Department of Natural Medicinal Chemistry,China Pharmaceutical university, 24 Tong Jia Xiang,nanjing 210009,China b testing & analysis center,nanjing normal university,nanjing 210046,China

Two new C-15 enolic acyl phragmalin-type limonoid orthoesters,chukvelutilide G(1)and chukrasine F(2),were isolated from the stem barks of Chukrasia tabularis *** structures were elucidated by their extensive HR-ESI-MS... 详细信息

关键词： Chukrasia tabularis var.velutina C-15 enolic phragmalin-type limonoid orthoester

ThyroidNet:A Deep Learning Network for Localization and Classification of Thyroid Nodules

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 361-382页

作者： Lu Chen Huaqiang Chen Zhikai Pan Sheng Xu guangsheng Lai Shuwen Chen Shuihua Wang Xiaodong gu Yudong Zhang Ultrasonic Department Zhongda Hospital Affiliated to Southeast UniversityNanjing210009China School of Physics and Information Engineering Jiangsu Second Normal UniversityNanjing211200China School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia State Key Laboratory of MillimeterWaves Southeast UniversityNanjing210096China Jiangsu Province Engineering Research center of Basic Education Big Data Application Jiangsu Second Normal UniversityNanjing211200China School of Software Engineering Quanzhou Normal UniversityQuanzhou362000China Department of Biological Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou215123China

Aim:This study aims to establish an artificial intelligence model,ThyroidNet,to diagnose thyroid nodules using deep learning techniques ***:A novel method,ThyroidNet,is introduced and evaluated based on deep learning for the localization and classification of thyroid ***,we propose the multitask TransUnet,which combines the TransUnet encoder and decoder with multitask ***,we propose the DualLoss function,tailored to the thyroid nodule localization and classification *** balances the learning of the localization and classification tasks to help improve the model’s generalization ***,we introduce strategies for augmenting the ***,we submit a novel deep learning model,ThyroidNet,to accurately detect thyroid ***:ThyroidNet was evaluated on private datasets and was comparable to other existing methods,including U-Net and *** results show that ThyroidNet outperformed these methods in localizing and classifying thyroid *** achieved improved accuracy of 3.9%and 1.5%,***:ThyroidNet significantly improves the clinical diagnosis of thyroid nodules and supports medical image analysis *** research directions include optimization of the model structure,expansion of the dataset size,reduction of computational complexity and memory requirements,and exploration of additional applications of ThyroidNet in medical image analysis.

关键词： ThyroidNet deep learning TransUnet multitask learning medical image analysis