Surface modification of poly(vinylidene fluoride) membrane with hydrophilic and anti-fouling performance via a two-step polymerization

Gui-E Chen,Li Sun,Zhen-Liang Xu,Hu Yang,Hui-Hong Huang,Yan-Jun Liu 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.12

The surface modification of poly (vinylidene fluoride) (PVDF) membrane was performed via a two-step polymerization reactions. Poly (acrylic acid) (PAAc) was first grafted onto the membrane surface for the preparation of PVDF-g-PAAc membrane, and then poly (ethylene glycol) 200 (PEG 200) was immobilized on the membrane surface by the esterification reaction for the fabrication of PVDF-g-PEGA membrane. Attenuated total reflectance (ATR) FTIR, X-ray photoelectron spectroscopy (XPS), scanning electron microscope (SEM), and protein adsorption, water flux, water content and dynamic contact angle were conducted to characterize the structures and performance of the resultant PVDF membranes. The experimental results showed that the adsorption of bovine serum albumin (BSA) on the PVDF-g-PEGA membrane decreased about 80% when the grafting ratio reached to 15 wt%, compared with the pristine PVDF membrane. Moreover, the water contact angle of the membrane dropped to 60.5o, while the membrane pore sizes remained little changed.

Analysis on Electric Field Based on Three Dimensional Atmospheric Electric Field Apparatus

Hong-yan Xing,Gui-xian He,Xin-yuan Ji 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.4

As a key component of lighting location system (LLS) for lightning warning, the atmospheric electric field measuring is required to have high accuracy. The Conventional methods of the existent electric field measurement meter can only detect the vertical component of the atmospheric electric field, which cannot acquire the realistic electric field in the thunderstorm. This paper proposed a three dimensional (3D) electric field system for atmospheric electric field measurement, which is capable of three orthogonal directions in X, Y, Z, measuring. By analyzing the relationship between the electric field and the relative permittivity of ground surface, the permittivity is calculated, and an efficiency 3D measurement model is derived. On this basis, a three-dimensional electric field sensor and a permittivity sensor are adopted to detect the spatial electric field. Moreover, the elevation and azimuth of the detected target are calculated, which reveal the location information of the target. Experimental results show that the proposed 3D electric field meter has satisfactory sensitivity to the three components of electric field. Additionally, several observation results in the fair and thunderstorm weather have been presented.

Development of AFLP and SCAR Markers Linked to a Recessive Genic Male Sterile Gene (Bnms3) in Rapeseed for Marker-assisted Selection

Gui Chun Wang,Jun Ping He,Deng Feng Hong,Yan Zhou Xie,Zheng Hua Xu,Ping Wu Liu,Guang Sheng Yang 한국유전학회 2007 Genes & Genomics Vol.29 No.4

9012AB is a recessive genic male sterility (RGMS) line in rapeseed, of which the male sterility is controlled by two pairs of recessive duplicate male sterile genes (Bnms3 and Bnms4) interacting with a recessive epistatic suppressor gene (esp). The recessive homozygosity at the esp locus (espesp) can suppress the expression of the recessive male sterility trait in homozygous plants (Bnms3Bnms3Bnms4Bnms4) and result in fertility restoration. A F2 population of 188 plants, derived from self-pollinated progenies of a 9012 AB fertile plants (BnMs3Bnms3Bnms4Bnms4EspEsp), was conducted to identify molecular markers linked to the recessive male sterility gene (Bnms3). By amplified fragment length polymorphism (AFLP) assay combining with bulked segregant analysis (BSA), 13 markers linked to Bnms3 were identified. Linkage analysis indicated that 13 AFLP markers were tightly linked to the Bnms3 gene with a genetic distance varying from 1.3 cM to 7.1 cM. Among them, one marker was co-dominant marker, 6 markers were in coupling phase with Bnms3, and the others were in repulsion phase with Bnms3 gene, One AFLP marker with a genetic distance of 1.4cM was further converted into a SCAR marker successfully, which have been applied in marker-assisted selection of RGMS lines and their temporary maintainers effectively.

Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

Hong Pan,Guoqing Gui,Zhibin Lin,Changhui Yan 대한토목학회 2018 KSCE Journal of Civil Engineering Vol.22 No.3

Structural systems are often exposed to harsh environment, while these environmental factors in turn could degrade the system over time. Their health state and structural conditions are key for structural safety control and decision-making management. Although great efforts have been paid on this field, the high level of variability due to noise and other interferences, and the uncertainties associated with data collection, structural performance and in-service operational environments post great challenges in finding information to assist decision making. The machine learning techniques in recent years have been gaining increasing attentions due to their merits capturing information from statistical representation of events and thus enabling making decision. In this study, the deep Bayesian Belief Network Learning (DBBN) was used to extract structural information and probabilistically determine structural conditions. Different to conventional shallow learning that highly relies on the quality of the hand-crafted features, the deep learning is an end-to-end method to encode the information and interpret vast amount of data with minimizing or no features. A case study was conducted to address the methods for structure under viabilities and uncertainties due to operation, damage and noise interferences. Numerical results revealed that the deep learning exhibits considerably enhanced accuracy for structural diagnostics, as compared to the supervised shallow learning. With predetermined training set, the DBBN could accurately determine the structural health state in terms of damage level, which could dramatically help decision making for further structural retrofit or not. Note that the noise interference could contaminate the data representation and in turn increase the difficulty of the data mining, though the deep learning could reduce the impacts, as compared to conventional shallow learning techniques.

Analysis on Electric Field Based on Three Dimensional Atmospheric Electric Field Apparatus

Xing, Hong-yan,He, Gui-xian,Ji, Xin-yuan The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.4

As a key component of lighting location system (LLS) for lightning warning, the atmospheric electric field measuring is required to have high accuracy. The Conventional methods of the existent electric field measurement meter can only detect the vertical component of the atmospheric electric field, which cannot acquire the realistic electric field in the thunderstorm. This paper proposed a three dimensional (3D) electric field system for atmospheric electric field measurement, which is capable of three orthogonal directions in X, Y, Z, measuring. By analyzing the relationship between the electric field and the relative permittivity of ground surface, the permittivity is calculated, and an efficiency 3D measurement model is derived. On this basis, a three-dimensional electric field sensor and a permittivity sensor are adopted to detect the spatial electric field. Moreover, the elevation and azimuth of the detected target are calculated, which reveal the location information of the target. Experimental results show that the proposed 3D electric field meter has satisfactory sensitivity to the three components of electric field. Additionally, several observation results in the fair and thunderstorm weather have been presented.

Generation of Selenoprotein with Glutathione Peroxidase Activity by Chemical Modification of the Single-chain Variable Fragment Expressed in a Single-protein Production System and Its Antioxidant Ability

Cheng Wang,Gang-Lin Yan,Shao-Wu Lü,Chun-Hong Sui,Yang Zhao,Ya-Wei Xu,Gang Zhao,Jun-jie Xu,Ping-Sheng Gong,Gui-Min Luo,Ying Mu 한국생물공학회 2013 Biotechnology and Bioprocess Engineering Vol.18 No.1

Glutathione peroxidase (GPX) is one of the important members of the antioxidant enzyme family. It can catalyze the reduction of hydroperoxides with glutathione to protect cells against oxidative damage. Single-chain variable fragment (scFv) can be converted into seleniumcontaining single-chain variable fragment (Se-scFv) by chemical modification of the hydroxyl groups in scFv, thus Se-scFv possesses GPX activity and becomes a prodrug. To improve the expression of scFv and simplify its purification steps, Single-protein production (SPP) system was used to express scFv and chemical modification was used to synthesize Se-scFv. Therefore, we must construct a new scFv-WCD1-lessACA gene, which can express its mRNA not containing any ACA sequences and express its amino acid sequence of target protein (scFv) being same to scFv-WCD1. In this way, the scFv-WCD1-lessACA can be only expressed in SPP system and no other background proteins in the cells could be expressed. The expression results showed that high level of scFv-WCD1-lessACA synthesis was at least sustained for 96 h in the virtual absence of background protein synthesis. Then, selenocysteine (Sec) was incorporated into the scFv-WCD1-lessACA by chemical modification and resulted in Se-scFv-WCD1-lessACA. The enzymatic characteristics of Se-scFv-WCD1-lessACA were determined. GPX activity was 2,563 U/μmol,its binding constant for GSH was 0.687 ×105/mol. Moreover,Se-scFv-WCD1-lessACA was confirmed to have a strong antioxidant ability to protect mitochondria against oxidative damage induced by Vc/Fe2+ (mitochondrial damage model),suggesting that Se-scFv-WCD1-lessACA has potential application for protection of mitochondrial damage induced by reactive oxygen species (ROS).

A NEW CORE – SHELL HYBRID NANOSTRUCTURES OF GOLD NANOROD FOR ENHANCING FLUORESCENCE AND APPLICATION IN DUAL-COLOR IMAGING

LU ZHANG,Peihui Yang,YAN-JIE GUO,JIAN-JUN LUO,GUI-MIN SUN,ZHI-HONG LIANG,YAN-JUAN TANG 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2014 NANO Vol.9 No.3

A novel core – shell hybrid nanostructure was constructed by employing gold nanorod (AuNR)combined with rhodamine B (RB) as a core and silica as a shell. The poly(sodium 4-styr-enesulfonate) (PSS), a negatively charged polyelectrolyte, played the role of linker to electro-statically trap RB on AuNRs. Due to the °uorescence spectral overlap between RB and AuNRs at560 nm, the red °uorescence and enhanced green °uorescence of the hybrid nanostructures wereobserved obviously, which is capable for dual-color labeling. To reduce toxic side e®ects ofAuNRs, silica was coated on AuNRs as a shell to fabricate the novel core – shell hybrid nano-structure function as a dual-color labeling for cancer-cell imaging. The fabricated compositestructures were characterized by transmission electron microscopy (TEM), absorption spectrum,°uorescence spectrum, zeta potential measurements and laser scanning confocal microscope(LSCM). The experiment results con¯rmed that the obtained hybrid nanostructures providedexcellent photostability, biocompatibility and active surface for further biological functionali-zation. The novel composite structures may have great potential application in cell multicolorlabeling and imaging instead of traditional °uorescent dyes.

Nitric Oxide Synthase Expressions in ADR-induced Cardiomyopathy in Rats

( Bao Gang Liu ),( Hong Li Li ),( Hong Yan Qu ),( Bao Gui Sun ) 생화학분자생물학회 2006 BMB Reports Vol.39 No.6

A new compound operation method of the numerical solutions And analytic solution of partial differential equation

Yu-Jie Ren,Yan-Juan Li,Fu-Gui Song,Hong-Qing Zhang 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-

In the paper, a new compound operation method of the numerical solutions and analytic solution (if exist) is proposed to constructing explicit solutions for nonlinear partial differential equations based on computation system MATLAB. The validity and reliability of the method is tested by its application to the Toda-Lattice equations in (2+1) dimensions. More new explicit solutions are found. The compound operation method can be also applied to other nonlinear partial differential equations.

A mechanization method on the mixed operation of the numerical solutions, analytic solution, and showing their figures simultaneously for differential equation

Yu-Jie Ren,Fu-Gui Song,Yan-Juan Li,Hong-Qing Zhang 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-

In the paper, a new mechanization method on the mixed operation of the numerical solutions, analytic solution (if exist), and showing their figures simultaneously for differential equation and their MATLAB programs are presented. With the aid of computer software MATLAB, Euler's method is chosen to illustrate the validity and advantages of the method. As a result, we can not only see the analytic solution, numerical solutions, and their errors but also observe how step size affects the error of the numerical solutions by a figure. The mechanization method can be also applied to other numerical method.