Fabrication of polyacrylic acid-based composite binders with strong binding forces on copper foils for silicon anodes in lithium-ion batteries

Ting-Ting Su,Wen-Feng Ren,Jiang-Meng Yuan,Ke Wang,Bing-Yu Chi,Run-Cang Sun 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.109 No.-

The commercial application of silicon (Si) anodes with high theoretical capacity is hampered by the poorcyclic stability because the huge volume change of Si during discharge/charge processes results in thepulverization of electrode materials and the electric contact loss of electrode materials with copper(Cu) foils. Binders play an important role for adhering active materials and conductive additives togetheronto Cu foils. Herein, we design and develop a three-dimensional networked composite binder (PAA-co-SN) via an amidation reaction between polyacrylic acid (PAA) and thiourea (SN). The granular anchors(CuxS) are constructed at the interface between PAA-co-SN binders and Cu foils, resulting from the reactionof S and Cu during the drying processes of Si electrodes. When used as binders for Si nanoparticles,they exhibit stable cyclic performance (1580 mAh g1 after 500 cycles). The anchoring mechanismbetween composite binders and Cu foils provides a strategy for the improvement of electrochemicalproperties of Si-based anodes for lithium-ion batteries.

Image Retrieval Based on Deep Belief Networks

Sun Ting,Qi Yingchun 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.1

According to the local and global feature of image, matching the image from a lot image library, this is the image retrieval task; however, the image retrieval need to search the information in the database, we need to find a method for efficient information retrieval. Deep belief network according to the characteristic of the initiative, through the method of training a multilayer neural network to process large amounts of data, and it is very efficient, in this article, as to the characteristics of image local features and global features, it gives a deep belief network image retrieval algorithm, the experiment verify the effectiveness of the algorithm.

Rapid separation and identification of 31 major saponins in Shizhu ginseng by ultra-high performance liquid chromatography-electron spray ionization-MS/MS

Ting-Ting Sun,Xin-Lei Liang,He-Yun Zhu,Xu-Ling Peng,Xing-Jie Guo,Long-Shan Zhao 고려인삼학회 2016 Journal of Ginseng Research Vol.40 No.3

Background: Among the various ginseng strains, Shizhu ginseng is endemic to China, mainly distributed in Kuandian Manchu Autonomous County (Liaoning Province, China); however, not much is known about the compounds (especially saponins) in Shizhu ginseng. Methods: A rapid, sensitive, and reliable ultra-high performance liquid chromatography coupled with MS/MS (UHPLCeMS/MS) method was developed to separate and identify saponins in Shizhu ginseng. Results: The separation was carried out on a Waters ACQUITY UPLC BEH C18 column (100 mm × 2.1 mm, 1.7 ㎛) with acetonitrile and 0.1% formic acid aqueous solution as the mobile phase under a gradient elution at 40℃. The detection was performed on a Micromass Quattro Micro API mass spectrometer equipped with electrospray ionization source in both positive and negative modes. Under the optimized conditions, a total of 31 saponins were identified or tentatively characterized by comparing retention time and MS data with related literatures and reference substances. Conclusion: The developed UHPLCeMS/MS method was suitable for identifying and characterizing the chemical constituents in Shizhu ginseng, which provided a helpful chemical basis for further research on Shizhu ginseng.

Preparation of biomass-based yam solar absorber for enhanced solar evaporation application

Ting Li,Juan Jia,Yanqing Wang,Hanxue Sun,Jiyan Li,Zhaoqi Zhu,Weidong Liang 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.11

The solar evaporation system has become a research hotspot in the field of photothermal conversion technology in recent years because of its high photothermal conversion efficiency and practicality of promotion. Biomass solar absorbers have excellent solar absorption properties and high solar-water vapor conversion, but they have the limitations of long feedstock production cycle and high carbonization temperature. As a kind of biomass materials, yam is not only inexpensive, but also has a short production cycle and rich pore structures. Therefore, in this paper, a yam based solar absorber with rich pore structure was prepared, and the photothermal conversion efficiency of the absorber was further investigated. The yam was treated with freeze-dried method and carbonized at different temperatures to obtain yam solar absorbers. Then the thermal stability and porosity of solar absorber was found to gradually rise as the treatment temperature increased. The solar absorption rate of the carbonized yam was close to 90% in the near UV-visible region. Solar-water vapor control experiments with different treatments of the solar absorber of the yam were carried out in simulated solar-driven interface steam generation system (SISGS). An absorber treated at 200 °C in the sun was found to have the best performance with a solar-water vapor conversion of about 90% and a water evaporation rate of 1.3164 kg m−2 h−1.

A Curve-Skeleton Extraction Algorithm based on Vector Fields for 3D Model Retrieval

Sun Ting,Zhou Wen-Gang,Geng Guo-Huo 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.9

Feature extraction is a key issue for 3d model retrieval. A novel architecture to extract the curve-skeleton of 3d model is introduced. The algorithm firstly calculates the 3D vector fields of models represented by discrete unit, and then extracts the hierarchical curve-skeleton based on topological features of the critical curve and critical points of the vector fields. The similarity among 3D curve-skeletons is measured by using an improved Earth Mover's Distance (EMD) algorithm. The curve-skeleton extracted with this novel algorithm can be used to categorize models and implement global matching and partial matching.

Image Retrieval Method for Deep Neural Network

Sun Ting,Geng Guohua 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.7

Because of the large data in the image database, the key problem of the retrieval algorithm is to retrieve the required image in the short time. Aiming at this problem, this article given a self-learning deep belief neural network method, and through building layers, input, output, and self-learning algorithm in network architecture to get global algorithm for image retrieval. The accuracy and the convergence of the proposed retrieval method are verified by experiments.

Preparation and Mechanical Property Evaluations of Puncture-Resistant Insoles Composites Reinforced by High-Modulus Filament and Thermal Bonding

Ting-Ting Li,Fei Sun,Xing Liu,Hua-Ling Wu,Ching-Wen Lou,Jia-Horng Lin 한국섬유공학회 2018 Fibers and polymers Vol.19 No.6

High-modulus PET filaments and thermal bonding are used to reinforce the puncture resistance stability of the insole composite. This study aims to discuss the influences of the amount of low-melting-point polyester fibers (LMPET) and needle densities (ND) on tensile, bursting, and quasi-static puncture resistance properties. Besides, significance of LMPET amount and ND on puncture resistance against flat-head (A), spherical-head (B), and pointed-head (C) probes are in particular investigated to simulate the diversified application environments for insoles. Research result shows that, LMPET amount significantly affects the static puncture resistance against three probes; ND only significantly influences the puncture resistance against Probe A and C. Thermal bonding significantly improves the puncture strength against Probe B with various LMPET amounts of insoles, but evidently increases the puncture resistance against Probe A and C when being punched at various ND. The amount of LMPET fibers has a positive influence on the puncture strength of insoles, and 70 wt% of LMPET provide the average static puncture resistance up to 342.6 N. The high-modulus resultant insoles have advantages of flexibility, ease of process, and bendability with a higher and more stabilized puncture resistances.

Polyvinylidene Fluoride Electrospun Fibers Loaded TiO2 for Photocatalytic Degradation and Oil/Water Separation

Fei Sun,Hai-Tao Ren,Shih-Yu Huang,Ting-Ting Li,Hao-Kai Peng,Qi Lin,Ching-Wen Lou,Jia-Horng Lin 한국섬유공학회 2020 Fibers and polymers Vol.21 No.7

In this study, electrospun polyvinylidene fluoride (PVDF)-based nanofibrous membranes embedding TiO2 wereprepared and used for photocatalytic degradation and oil/water separation. The nanofibrous membranes were characterizedby scanning electron microscopy (SEM), transmission electronic microscope (TEM), X-ray diffraction (XRD), Fouriertransform infrared spectroscopy (FTIR) spectroscopy, thermal performance analysis, and oil/water separation analysis. Andthe degradation of rhodamine B dye was also investigated. Results showed that the fiber diameter and thermal stability of themembranes decreased with the increasing of TiO2. Meanwhile, the fiber surface roughness and specific surface areaincreased. The analysis of TEM, XRD and FTIR indicated that TiO2 existed in the PVDF membranes. When the TiO2 contentwas 12 %, the fiber diameter of the membranes was about 110 nm, and the photocatalytic degradation of rhodamine B dyeefficiency was up to 97 %. The reaction rate constant was 0.02057 min-1. At 0.01 MPa vacuum, oil separated from watereffectively, which proves that separation can be easily conducted with a low energy cost. Thus, the prepared membranes havea very high application prospect in the purification of reclaimed water and separation of oil and water.

An Investigation Into the Relationship Between Metabolic Responses and Energy Regulation in Antibody-Producing Cell

Ya Ting Sun,Liang Zhao,Zhao Yang Ye,Li Fan,Xu Ping Liu,Wen Song Tan 한국미생물생명공학회(구 한국산업미생물학회) 2013 Journal of microbiology and biotechnology Vol.23 No.11

Energy-efficient metabolic responses were often noted in high-productive cultures. To better understand these metabolic responses, an investigation into the relationship between metabolic responses and energy regulation was conducted via a comparative analysis among cultures with different energy source supplies. Both glycolysis and glutaminolysis were studied through the kinetic analyses of major extracellular metabolites concerning the fast and slow cell growth stages, respectively, as well as the time-course profiles of intracellular metabolites. In three cultures showing distinct antibody productivities, the amino acid metabolism and energy state were further examined. Both the transition of lactate from production to consumption and steady intracellular pools of pyruvate and lactate were observed to be correlated with efficient energy regulation. In addition, an efficient utilization of amino acids as the replenishment for the TCA cycle was also found in the cultures with upregulated energy metabolism. It was further revealed that the inefficient energy regulation would cause low cell productivity based on the comparative analysis of cell growth and productivity in cultures having distinct energy regulation.

Vascular Endothelial Growth Factor (VEGF) Gene Polymorphisms and Breast Cancer Risk in a Chinese Population

Luo, Ting,Chen, Long,He, Ping,Hu, Qian-Cheng,Zhong, Xiao-Rong,Sun, Yu,Yang, Yuan-Fu,Tian, Ting-Lun,Zheng, Hong Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.4

Vascular endothelial growth factor (VEGF) is a potent regulator of angiogenesis and thereby involved in the development and progression of solid tumours. Associations between three VEGF gene polymorphisms (-634 G/C, +936 C/T, and +1612 G/A) and breast cancer risk have been extensively studied, but the currently available results are inconclusive. Our aim was to investigate associations between three VEGF gene polymorphisms and breast cancer risk in Chinese Han patients. We performed a hospital-based case-control study including 680 female incident breast cancer patients and 680 female age-matched healthy control subjects. Polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) analysis was performed to detect the three VEGF gene polymorphisms. We observed that women carriers of +936 TT genotypes [odds ratio (OR) =0.46, 95% confidence interval (CI) = 0.28, 0.76; P=0.002] or 936 T-allele (OR=0.81, 95% CI= 0.68, 0.98; P=0.03) had a protective effect concerning the disease. Our study suggested that the +1612G/A polymorphism was unlikely to be associated with breast cancer risk. The -634CC genotype was significantly associated with high tumor aggressiveness [large tumor size (OR=2.63, 95% CI=1.15, 6.02; P=0.02) and high histologic grade (OR=1.47, 95% CI= 1.06, 2.03; P=0.02)]. The genotypes were not related with other tumor characteristics such as regional or distant metastasis, stage at diagnosis, or estrogen or progesterone receptor status. Our study revealed that the VEGF -634 G/C and +936 C/T gene polymorphisms may be associated with breast cancer in Chinese Han patients.