Metabonomics study on the hot syndrome of traditional Chinese medicine by rapid resolution liquid chromatography combined with quadrupole time-of-flight tandem mass spectrometry

Yang Wang,Li M,Yi Sun,Liman Yang,Hao Yue,Shuying Liu 대한약학회 2014 Archives of Pharmacal Research Vol.37 No.7

The hot syndrome refers to any feverish conditionsduring a pathological development, a sub-healthphenomenon, and is a potential risk for human health. Themetabonomics study on the hot syndrome may provideinsight into understanding of its pathology and play a rolein the prevention and treatment of its related diseases. Inthis paper, the rats were dosed with the hot syndromeprescription, ginseng and water. The corresponding urinesamples were identified by rapid resolution liquid chromatographycombined with quadrupole time-of-flight tandemmass spectrometry. More than 1,000 metaboliccompounds from different urine samples could be furtherdifferentiated by principal component analysis. As a result,the rat body temperature and weight were recognized as thehot syndrome related factors. Some specific metaboliteshave been discovered as a pattern of the potential biomarkers for the hot syndrome. The results showed thatginseng cannot cause the hot syndrome in a reasonabledose, but the hot syndrome prescription can. It is suggestedthat ginseng cannot be used only as a tradition Chinesemedicine but also as a nutrient. The work showed metabonomicsmethod is a valuable tool in studying mechanismof the hot syndrome.

Metabonomics study on the hot syndrome of traditional Chinese medicine by rapid resolution liquid chromatography combined with quadrupole time-of-flight tandem mass spectrometry

Wang, Yang,Ma, Li,Sun, Yi,Yang, Liman,Yue, Hao,Liu, Shuying 대한약학회 2014 Archives of Pharmacal Research Vol.37 No.7

The hot syndrome refers to any feverish conditions during a pathological development, a sub-health phenomenon, and is a potential risk for human health. The metabonomics study on the hot syndrome may provide insight into understanding of its pathology and play a role in the prevention and treatment of its related diseases. In this paper, the rats were dosed with the hot syndrome prescription, ginseng and water. The corresponding urine samples were identified by rapid resolution liquid chromatography combined with quadrupole time-of-flight tandem mass spectrometry. More than 1,000 metabolic compounds from different urine samples could be further differentiated by principal component analysis. As a result, the rat body temperature and weight were recognized as the hot syndrome related factors. Some specific metabolites have been discovered as a pattern of the potential biomarkers for the hot syndrome. The results showed that ginseng cannot cause the hot syndrome in a reasonable dose, but the hot syndrome prescription can. It is suggested that ginseng cannot be used only as a tradition Chinese medicine but also as a nutrient. The work showed metabonomics method is a valuable tool in studying mechanism of the hot syndrome.

Medical Image Fusion via an Effective Wavelet-Based Approach

Yang, Yong,Park, Dong Sun,Huang, Shuying,Rao, Nini Hindawi Publishing Corporation 2010 EURASIP journal on advances in signal processing Vol.2010 No.1

<P>A novel wavelet-based approach for medical image fusion is presented, which is developed by taking into not only account the characteristics of human visual system (HVS) but also the physical meaning of the wavelet coefficients. After the medical images to be fused are decomposed by the wavelet transform, different-fusion schemes for combining the coefficients are proposed: coefficients in low-frequency band are selected with a visibility-based scheme, and coefficients in high-frequency bands are selected with a variance based method. To overcome the presence of noise and guarantee the homogeneity of the fused image, all the coefficients are subsequently performed by a window-based consistency verification process. The fused image is finally constructed by the inverse wavelet transform with all composite coefficients. To quantitatively evaluate and prove the performance of the proposed method, series of experiments and comparisons with some existing fusion methods are carried out in the paper. Experimental results on simulated and real medical images indicate that the proposed method is effective and can get satisfactory fusion results.</P>

Facile and highly efficient fabrication of robust Ag nanowire-elastomer composite electrodes with tailored electrical properties

Yang, Ming,Kim, Sang Woo,Zhang, Shuye,Park, Dae Young,Lee, Chang-Woo,Ko, Yong-Ho,Yang, Haifeng,Xiao, Yong,Chen, Gang,Li, Mingyu The Royal Society of Chemistry 2018 Journal of Materials Chemistry C Vol.6 No.27

<P>The fabrication of Ag nanowire (AgNW) patterns on a working substrate is a critical step to prepare flexible/stretchable electronics. The conventional method of making AgNW patterns is based on a 2-D mask, which suffers some serious drawbacks, such as low material usage, difficulty in preparing complex patterns, and susceptibility to damaged pattern edges. To overcome these drawbacks, this study proposes the use of a 3-D mask, which when combined with a vacuum filtration system, allowed efficient fabrication of complex AgNW patterns with clear edges. In addition, we controlled the microstructure of the patterned AgNW/polydimethylsiloxane (PDMS) electrodes transferred from the membrane filter, obtaining stretchable electrodes with anisotropic electrical properties. Moreover, we greatly improved the stability and reliability of the patterned electrodes in long-term stretch/release tests by developing a PDMS/AgNW/PDMS sandwich structure. Based on these improvements, robust stretchable electrodes with a stretchability of over 80% uniaxial strain and tunable gauge factors ranging from 0.07 to 520 (a much wider range than previously reported) were fabricated by optimizing the AgNW deposition density and PDMS peel-off direction. Finally, we demonstrated the applicability of the proposed method by fabricating stretchable circuits which were able to either maintain a stable resistance or sensitively monitor various human motions, revealing its tremendous potential for applications in flexible/stretchable electronics.</P>

Simultaneous determination and difference evaluation of 14 ginsenosides in Panax ginseng roots cultivated in different areas and ages by high-performance liquid chromatography coupled with triple quadrupole mass spectrometer in the multiple reaction-monitoring mode combined with multivariate statistical analysis

Yang Xiu,Xue Li,Xiuli Sun,Dan Xiao,Rui Miao,Huanxi Zhao,Shuying Liu 고려인삼학회 2019 Journal of Ginseng Research Vol.43 No.4

Background: Ginsenosides are not only the principal bioactive components but also the important indexes to the quality assessment of Panax ginseng Meyer. Their contents in cultivated ginseng vary with the growth environment and age. The present study aimed at evaluating the significant difference between 36 cultivated ginseng of different cultivation areas and ages based on the simultaneously determined contents of 14 ginsenosides. Methods: A high-performance liquid chromatography (HPLC) coupled with triple quadrupole mass spectrometer (MS) method was developed and used in the multiple reaction-monitoring (MRM) mode (HPLC-MRM/MS) for the quantitative analysis of ginsenosides. Multivariate statistical analysis, such as principal component analysis and partial least squares-discriminant analysis, was applied to discriminate ginseng samples of various cultivation areas and ages and to discover the differentially accumulated ginsenoside markers. Results: The developed HPLC-MRM/MS method was validated to be precise, accurate, stable, sensitive, and repeatable for the simultaneous determination of 14 ginsenosides. It was found that the 3- and 5-yrold ginseng samples were differentiated distinctly by all means of multivariate statistical analysis, whereas the 4-yr-old samples exhibited similarity to either 3- or 5-yr-old samples in the contents of ginsenosides. Among the 14 detected ginsenosides, Rg1, Rb1, Rb2, Rc, 20(S)-Rf, 20(S)-Rh1, and Rb3 were identified as potential markers for the differentiation of cultivation ages. In addition, the 5-yr-old samples were able to be classified in cultivation area based on the contents of ginsenosides, whereas the 3- and 4-yr-old samples showed little differences in cultivation area. Conclusion: This study demonstrated that the HPLC-MRM/MS method combined with multivariate statistical analysis provides deep insight into the accumulation characteristics of ginsenosides and could be used to differentiate ginseng that are cultivated in different areas and ages.

Differentiation and identification of ginsenoside structural isomers by two-dimensional mass spectrometry combined with statistical analysis

Yang Xiu,Huanxi Zhao,Xiuli Sun,Xue Li,Shuying Liu 고려인삼학회 2019 Journal of Ginseng Research Vol.43 No.3

Background: In the current phytochemical research on ginseng, the differentiation and structural identificationof ginsenosides isomers remain challenging. In this paper, a two-dimensional mass spectrometry(2D-MS) method was developed and combined with statistical analysis for the directdifferentiation, identification, and relative quantification of protopanaxadiol (PPD)-type ginsenosideisomers. Methods: Collision-induced dissociation was performed at successive collision energy values to producedistinct profiles of the intensity fraction (IF) and ratio of intensity (RI) of the fragment ions. To amplifythe differences in tandem mass spectra between isomers, IF and RI were plotted against collision energy. The resulting data distributions were then used to obtain the parameters of the fitted curves, which wereused to evaluate the statistical significance of the differences between these distributions via the unpairedt test. Results: A triplet and two pairs of PPD-type ginsenoside isomers were differentiated and identified bytheir distinct IF and RI distributions. In addition, the fragmentation preference of PPD-type ginsenosideswas determined on the basis of the activation energy. The developed 2D-MS method was also extendedto quantitatively determine the molar composition of ginsenoside isomers in mixtures of biotransformationproducts. Conclusion: In comparison with conventional mass spectrometry methods, 2D-MS provides more directinsights into the subtle structural differences between isomers and can be used as an alternativeapproach for the differentiation of isomeric ginsenosides and natural products.

Multiple model-based detection and estimation scheme for gas turbine sensor and gas path fault simultaneous diagnosis

Qingcai Yang,Shuying Li,Yunpeng Cao 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.4

In this paper, a multiple model (MM)-based detection and estimation scheme for gas turbine sensor and gas path fault diagnosis is proposed, which overcomes the coupling effects between sensor faults and gas path faults, and simultaneously realizes an accurate diagnosis of sensor and gas path faults. First, an adaptive fault detection and isolation (FDI) framework based on the MM method was established to detect and isolate sensor faults and gas path faults. Then, a fault amplitude estimation method was proposed according to the FDI results, and a fault validation method based on the Chi-square test was proposed to confirm the actual fault. Finally, hardware in the loop (HIL) simulation platform was established to validate the effectiveness of the proposed method. Several simulation case studies were conducted based on a two-shaft marine gas turbine with common gas path faults and sensor faults. The simulation results show that the proposed method can accurately diagnose the fault and estimate the corresponding fault amplitude when both the sensor fault and the gas path fault coincide.

A Study on the Optimization of Anisotropic Conductive Films for Sn-3Ag-0.5Cu-Based Flex-on-Board Application at a 250 °C Bonding Temperature

Zhang, Shuye,Yang, Ming,Wu, Yang,Du, Jikun,Lin, Tiesong,He, Peng,Huang, Mingliang,Paik, Kyung-Wook IEEE 2018 IEEE transactions on components, packaging, and ma Vol.8 No.3

<P>Although cationic epoxy was optimized for low-melting SnBi58 solder ACF joints with the lowest coefficient of thermal expansion (CTE) in terms of reliability, cationic epoxy also showed a faster curing property than any other types of adhesives. In fact, solder joint shapes at 250 °C bonding are very different from those shapes at 200 °C bonding. In this paper, four adhesive film types were investigated in terms of Sn-3Ag-0.5Cu solder ACF joint shapes on the electrical performances and reliability in a pressure cooker test (PCT). Thermal stability of adhesive films was tested to be first. Resin curing speeds were measured in a 250 °C isothermal mode differential scanning calorimetry, resin viscosities were checked by a parallel-plate rheometer, and adhesive thermomechanical properties, such as modulus and CTE, were characterized. Then, four different types of ACF resins containing the same weight percentages of Sn-3Ag-0.5Cu solders were assembled by the same thermocompression bonding parameter (250 °C 10s 2MPa on bump) on a 500- <TEX>$\mu \text{m}$</TEX>-pitch flex-on-board (FOB) application, and different solder joint morphologies were verified. Various bonded solder ACFs joints were compared in terms of solder wetting areas, electrical performances by a four-point-probe method, and the reliability of PCT (121 °C 100% humidity 2atm) for 120 h. This paper aims at optimizing the best adhesive film candidate for SAC305 solder ACF joints of FOB application.</P>

A Novel Automatic Block-based Multi-focus Image Fusion via Genetic Algorithm

( Yong Yang ),( Wenjuan Zheng ),( Shuying Huang ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.7

The key issue of block-based multi-focus image fusion is to determine the size of the sub-block because different sizes of the sub-block will lead to different fusion effects. To solve this problem, this paper presents a novel genetic algorithm (GA) based multi-focus image fusion method, in which the block size can be automatically found. In our method, the Sum-modified-Laplacian (SML) is selected as an evaluation criterion to measure the clarity of the image sub-block, and the edge information retention is employed to calculate the fitness of each individual. Then, through the selection, crossover and mutation procedures of the GA, we can obtain the optimal solution for the sub-block, which is finally used to fuse the images. Experimental results show that the proposed method outperforms the traditional methods, including the average, gradient pyramid, discrete wavelet transform (DWT), shift invariant DWT (SIDWT) and two existing GA-based methods in terms of both the visual subjective evaluation and the objective evaluation.

A strong tracking filter based multiple model approach for gas turbine fault diagnosis

Qingcai Yang,Shuying Li,Yunpeng Cao 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.1

In this paper, a nonlinear Fault detection and isolation (FDI) based on an improved Multiple model (MM) approach was proposed for the gas turbine engine. A bank of Strong tracking extended Kalman filters (STEKFs) was designed that enables robustness to model uncertainty and overcomes the shortcoming of the MM approach. The Jacobian matrix used in the filters was deduced by using the nonequilibrium analytic linearization method to improve the traditional method. Hierarchical fault detection and isolation architecture based on evaluating the maximum probability criteria were developed for both single and multiple faults. In addition, a nonlinear mode set automatic generation method that enables automatic generation of the modes of each level in the hierarchical architecture was also presented. Fault detection and isolation of a two-shaft marine gas turbine was studied in a simulation environment using the proposed STEKF-based MM approach and compared with the results of the traditional Extended Kalman filter (EKF) based MM approach. The results showed that the proposed approach not only has the advantages of the EKF-based MM approach but also robustness to the model uncertainty and overcomes the shortcomings of the MM approach.