Green multi-functional monomer based ion imprinted polymers for selective removal of copper ions from aqueous solution

Wang, Liyan,Li, Jinhua,Wang, Jianan,Guo, Xiaotong,Wang, Xiaoyan,Choo, Jaebum,Chen, Lingxin Academic Press 2019 Journal of colloid and interface science Vol.541 No.-

<P><B>Abstract</B></P> <P>Green ion imprinted polymers (IIPs) were prepared in aqueous phase via the synergy of three functional monomers of low-cost eco-friendly gelatin (G), 8-hydroxyquinoline (HQ) and chitosan (C), namely G-HQ-C IIPs, and were applied as an effective and recyclable adsorbent to remove Cu(II) from aqueous solution. The as-prepared G-HQ-C IIPs were systematically characterized, and several major factors affecting adsorption capacity including solution pH, temperature and contact time were investigated in detail. The adsorption of Cu(II) on G-HQ-C IIPs followed the pseudo-second-order kinetic and Langmuir isotherm models, and the adsorption capacity increased with temperature increase. Moreover, the maximum adsorption capacities of G-HQ-C IIPs toward Cu(II) reached up to 111.81 mg/g at room temperature, much higher than those of most of the reported adsorbents for Cu(II). The G-HQ-C IIPs displayed excellent selectivity against seven common divalent ions with selectivity coefficients above 18.71, as well as high anti-interference ability. Additionally, a good reusability was demonstrated without significant loss in adsorption capacity after at least ten cycles. The IIPs were applied to environmental water samples for selective removal of Cu(II) with satisfactory results. By replacing Cu(II) template by Cd(II), Hg(II) and Pb(II), respectively, the obtained three kinds of IIPs based on G-HQ-C presented convincing imprinting properties, and therefore the work could provide a simple and general imprinting strategy toward various concerned heavy metal ions through multi-point interactions from multiple functional monomers.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

유전체 봉과 격막 편파기를 이용한 이중 원편파 피드

왕가남(Jianan Wang),홍기표(Ki-Pyo Hong),전동하(Dong-Ha Jun),유상길(Sang-Gil Yu),안병철(Bierng-Chearl Ahn) 한국정보기술학회 2015 한국정보기술학회논문지 Vol.13 No.9

In this paper, a dual-circularly polarized feed is proposed, which operates at 54-64GHz and consists of a square waveguide, a dielectric rod radiator, a septum polarizer and waveguide bends. A stepped taper is applied to the dielectric rod for the required gain and reflection coefficient. Heights and lengths of five steps on a thin metal plate polarizer inserted in the square waveguide are optimized to obtain the desired reflection coefficient at each port, the isolation between ports, and the axial ratio. E-plane bends are connected to the output parts of the septum polarizer for connection with the WR-15 waveguide. Fabrication and measurement show that the proposed feed has a reflection coefficient of less than -10dB and a transmission coefficient of less than -9.5dB at 57-64GHz, and at 60GHz, a maximum gain of 16.8dBic, a 15-dB taper beamwidth of 60°, an axial ratio of less than 2dB within ±30° from the feed axis.

Does Differentiated Key Audit Matter in Unqualified Audit Reports Indicate Increased Financial Misstatement Risk? Evidence from China

Qi Wang,Qianqun Ma,Jianan Zhou,Kongwen Wang 한국증권학회 2023 Asia-Pacific Journal of Financial Studies Vol.52 No.4

This study examines whether differentiated disclosure of key audit matter (KAM) in China indicates a higher financial misstatement risk. Our empirical study demonstrates that financial statements with less boilerplate KAM are more likely to be subsequently restated than those with more boilerplate KAM. This association is only pronounced for smaller auditing firms in stronger legal environments. Additionally, auditors who report differentiated KAM are likely to disclose more risk‐related information. Moreover, clients are more likely to restate financial reports when the KAM relates to managers' subjective estimations.

Full-scale testing on the flexural behavior of an innovative dovetail UHPC joint of composite bridges

Jianan Qi,Zhao Cheng,Jingquan Wang,Yutong Zhu,Wenchao Li 국제구조공학회 2020 Structural Engineering and Mechanics, An Int'l Jou Vol.75 No.1

This paper presents a full-scale experimental test to investigate the flexural behavior of an innovative dovetail ultra-high performance concrete (UHPC) joint designed for the 5th Nanjing Yangtze River Bridge. The test specimen had a dimension of 3600 × 1600 × 170 mm, in accordance with the real bridge. The failure mode, crack pattern and structural response were presented. The ductility and stiffness degradation of the tested specimens were explicitly discussed. Test results indicated that different from conventional reinforced concrete slabs, well-distributed cracks with small spacing were observed for UHPC joint slabs at failure. The average nominal flexural cracking strength of the test specimens was 7.7 MPa, signifying good crack resistance of the proposed dovetail UHPC joint. It is recommended that high grade reinforcement be cooperatively used to take full advantage of the superior mechanical property of UHPC. A new ductility index, expressed by dividing the ultimate deflection by flexural cracking deflection, was introduced to evaluate the post-cracking ductility capacity. Finally, a strut-and-tie (STM) model was developed to predict the ultimate strength of the proposed UHPC joint.

Modeling and testing for continuously adjustable damping shock absorber equipped with proportional solenoid valve

Jianan Xu,Farong Kou,Xinqian Zhang,Guohong Wang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.8

A vehicle's solenoid valve-actuated shock (SVSA) absorber is of wide interest because of its adjustable damping characteristics. The proportional solenoid valve is a pivotal component for commanding damping force, but the research on its model principle still needs to be improved. Therefore, this research aimed to establish an accurate model of the proportional solenoid valve composed of the pilot valve and relief valve. In the pilot valve, we proposed a valve spool structure using a two-stage combined throttling groove to control flow accurately. Then, the dynamic equation of the spool was established, and it is also considered that the magnetic saturation of soft magnetic materials impacts electromagnetic force. The flow force in the dynamic equation was numerically solved by the CFD method. The flow rate in the relief valve was analyzed from the deformation of the lamination valves and main valve plate through the small deflections thin plate theory. Then, the SVSA bench test was carried out. The results show good agreement between the test and calculation, and the maximum error is within 9 %. It is indicated that the model of the SVSA equipped with the proportional solenoid valve has high accuracy.

Arginine-Rich Manganese Silicate Nanobubbles as a Ferroptosis-Inducing Agent for Tumor-Targeted Theranostics

Wang, Shuaifei,Li, Fangyuan,Qiao, Ruirui,Hu, Xi,Liao, Hongwei,Chen, Lumin,Wu, Jiahe,Wu, Haibin,Zhao, Meng,Liu, Jianan,Chen, Rui,Ma, Xibo,Kim, Dokyoon,Sun, Jihong,Davis, Thomas P.,Chen, Chunying,Tian, American Chemical Society 2018 ACS NANO Vol.12 No.12

<P>Ferroptosis, an iron-based cell-death pathway, has recently attracted great attention owing to its effectiveness in killing cancer cells. Previous investigations focused on the development of iron-based nanomaterials to induce ferroptosis in cancer cells by the up-regulation of reactive oxygen species (ROS) generated by the well-known Fenton reaction. Herein, we report a ferroptosis-inducing agent based on arginine-rich manganese silicate nanobubbles (AMSNs) that possess highly efficient glutathione (GSH) depletion ability and thereby induce ferroptosis by the inactivation of glutathione-dependent peroxidases 4 (GPX4). The AMSNs were synthesized <I>via</I> a one-pot reaction with arginine (Arg) as the surface ligand for tumor homing. Subsequently, a significant tumor suppression effect can be achieved by GSH depletion-induced ferroptosis. Moreover, the degradation of AMSNs during the GSH depletion contributed to <I>T</I><SUB>1</SUB>-weighted magnetic resonance imaging (MRI) enhancement as well as on-demand chemotherapeutic drug release for synergistic cancer therapy. We anticipate that the GSH-depletion-induced ferroptosis strategy by using manganese-based nanomaterials would provide insights in designing nanomedicines for tumor-targeted theranostics.</P> [FIG OMISSION]</BR>

Static behavior of stud shear connectors with initial damage in steel-UHPC composite bridges

Qi, Jianan,Tang, Yiqun,Cheng, Zhao,Xu, Rui,Wang, Jingquan Techno-Press 2020 Advances in concrete construction Vol.9 No.4

For steel-concrete girders made composite using shear studs, initial damage on studs induced by weld defect, unexpected overloading, fatigue and others might degrade the service performance and even threaten the structural safety. This paper conducted a numerical study to investigate the static behavior of damaged stud shear connectors that were embedded in ultra high performance concrete (UHPC). Parameters included damage degree and damage location. The material nonlinear behavior was characterized by multi-linear stress-strain relationship and damage plasticity model. The results indicated that the shear strength was not sensitive to the damage degree when the damage occurred at 2/3d (d is the stud diameter) from the stud root. An increased stud area would be engaged in resisting shear force as the distance of damage location from stud root increased and the failure section becomes inclined, resulting in a less reduction in the shear strength and shear stiffness. The reduction factor was proposed to consider the degradation of the shear strength of the damaged stud. The reduction factor can be calculated using two approaches: a linear relationship and a square relationship with the damage degree corresponding to the shear strength dominated by the section area and the nominal diameter of the damaged stud. It was found that the proposed method is preferred to predict the shear strength of a stud with initial damage.

Novel designs of polycarboxylate superplasticizers for improving resistance in clay-contaminated concrete

Xiao Liu,Jianan Guan,Guanghong Lai,Yunsheng Zheng,Ziming Wang,Suping Cui,Mingzhang Lan,Huiqun Li 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.55 No.-

Certain clays attached around the aggregates contaminate the concrete and also greatly affect the concrete workability, the mechanism of which was investigated through calculating the volume change of solid and liquid phases of concrete mixture containing clay. To minimize this detrimental effect, two novel designs based on the transfer of theory and techniques from polymer science, i.e., molecular design of polycarboxylate superplasticizer (PCE), were proposed. The one was “intercalator” synthesized via Hofmann rearrangement and cationization, and the other was “star-shaped polycarboxylate super- plasticizer (SPCE)” synthesized via a route of “core first and arm second”. The results of Infrared Spectroscopy (IR) and 1H Nuclear Magnetic Resonance (1H NMR) confirm the designed structures. The applications of these polymers in clay-contaminated cement paste and concrete were tested. The results showed that, the dispersing capacities of “Intercalator + Comb-shaped polycarboxylate superplasticizer (CPCE)” and SPCE were less affected by adding clay in both cement paste and concrete. Adsorption and Xray diffraction (XRD) experiments revealed less harmful intercalation for SPCE and preferential occupation in the interlayer space of clay for intercalator to protect other workable PCEs. It is interesting that optimizing charge characteristic and “disassembling-assembling” molecular arrangement can contribute to excellent resistance towards clay. The aim of this study is to offer two promising alternatives, which attractively provide the theoretical basis and technological application in researching advanced materials in clay-contaminated concrete.

Identification of a mimotope of an infectious bronchitis virus S1 protein

Jingming Zhou,Jianan Li,Yanghui Li,Hongliang Liu,Yanhua Qi,Aiping Wang 대한수의학회 2021 Journal of Veterinary Science Vol.22 No.4

The S1 protein of the infectious bronchitis virus (IBV) is a major structural protein that induces the production of the virus-neutralization antibodies. The monoclonal antibody against the IBV M41 S1 protein was used as a target for biopanning. After three rounds of biopanning, randomly selected phages bound to the monoclonal antibody. Sequence analysis showed that the dominant sequence was SFYDFEMQGFFI. Indirect competitive enzyme-linked immunosorbent assay showed that SFYDFEMQGFFI is a mimotope of the S1 protein that was predicted by PepSurf. The mimotope may provide information for further structural and functional analyses of the S1 protein.

Prediction Model for unfavorable Outcome in Spontaneous Intracerebral Hemorrhage Based on Machine Learning

Shengli Li,Jianan Zhang,Xiaoqun Hou,Yongyi Wang,Tong Li,Zhiming Xu,Feng Chen,Yong Zhou,Weimin Wang,Mingxing Liu 대한신경외과학회 2024 Journal of Korean neurosurgical society Vol.67 No.1

Objective : The spontaneous intracerebral hemorrhage (ICH) remains a significant cause of mortality and morbidity throughout the world. The purpose of this retrospective study is to develop multiple models for predicting ICH outcomes using machine learning (ML). Methods : Between January 2014 and October 2021, we included ICH patients identified by computed tomography or magnetic resonance imaging and treated with surgery. At the 6-month check-up, outcomes were assessed using the modified Rankin Scale. In this study, four ML models, including Support Vector Machine (SVM), Decision Tree C5.0, Artificial Neural Network, Logistic Regression were used to build ICH prediction models. In order to evaluate the reliability and the ML models, we calculated the area under the receiver operating characteristic curve (AUC), specificity, sensitivity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR). Results : We identified 71 patients who had favorable outcomes and 156 who had unfavorable outcomes. The results showed that the SVM model achieved the best comprehensive prediction efficiency. For the SVM model, the AUC, accuracy, specificity, sensitivity, PLR, NLR, and DOR were 0.91, 0.92, 0.92, 0.93, 11.63, 0.076, and 153.03, respectively. For the SVM model, we found the importance value of time to operating room (TOR) was higher significantly than other variables. Conclusion : The analysis of clinical reliability showed that the SVM model achieved the best comprehensive prediction efficiency and the importance value of TOR was higher significantly than other variables.