Search results for: Haishan Deng

Items from 1 to 15 out of 15 results

article

Design, Synthesis, Characterization and Computational Studies of Mannich Bases Oxadiazole Derivatives as New Class of Jack Bean Urease Inhibitors

Sadaf Mutahir, Muhammad Asim Khan, Abdulrahman Abdulaziz Almehizia, Amr Salah Abouzied, more

Chemistry & Biodiversity > 20 > 8 > n/a - n/a

Mannich bases consisting of 1,3,4‐oxadiazole‐2‐thione (3 a–3 l) bearing various substituents were synthesized and found potent jack bean urease inhibitors. The prepared compounds showed significantly good inhibitory activities with IC₅₀ values from 9.45±0.05 to 267.42±0.23 μM. The compound 3 k containing 4‐chlorophenyl (−R) and 4‐hydroxyphenyl (−R′) was most active with IC₅₀ 9.45±0.05 μM followed...

article

Simultaneous determination of sulfur compounds from the sulfur pathway in rat plasma by liquid chromatography tandem mass spectrometry: application to the study of the effect of Shao Fu Zhu Yu decoction

Yue Zhang, An Kang, Haishan Deng, Le Shi, more

Analytical and Bioanalytical Chemistry > 2018 > 410 > 16 > 3743-3755

A sensitive, accurate, and time-saving approach was developed for the simultaneous quantification of eight sulfur compounds in the sulfur pathway, which could reflect the status of an organism, including oxidative stress, signal transduction, enzyme reaction, and so on. In order to overcome the instability of highly reactive sulfhydryl compounds, N-ethylmaleimide derivatization was adopted to effectively...

article

The stochastic resonance algorithm with the direct current signal as external force and its application to the detection of weak chromatographic peaks

Rui Li, Bingren Xiang, Haishan Deng, Shaofei Xie

Journal of Separation Science > 40 > 20 > 4091 - 4096

As a potential tool for amplifying weak chromatographic peaks, the stochastic resonance algorithm was developed based upon a counterintuitive physical phenomenon. Therefore, the essential step, parameter optimization, was perplexing and difficult for analysts. In order to avoid optimizing the system parameters on a case‐by‐case basis, an improved algorithm was proposed by introducing a constant or...

article

Development and application of a comprehensive lipidomic analysis to investigate Tripterygium wilfordii-induced liver injury

Tong Xie, Xueping Zhou, Shouchuan Wang, Yan Lu, more

Analytical and Bioanalytical Chemistry > 2016 > 408 > 16 > 4341-4355

Lipid metabolic pathways play pivotal roles in liver function, and disturbances of these pathways are associated with various diseases. Thus, comprehensive characterization and measurement of lipid metabolites are essential to deciphering the contributions of lipid network metabolism to diseases or its responses to drug intervention. Here, we report an integrated lipidomic analysis for the comprehensive...

article

Application of the stochastic resonance algorithm to the simultaneous quantitative determination of multiple weak peaks of ultra‐performance liquid chromatography coupled to time‐of‐flight mass spectrometry

Haishan Deng, Erxin Shang, Bingren Xiang, Shaofei Xie, more

Rapid Communications in Mass Spectrometry > 25 > 5 > 563 - 571

The stochastic resonance algorithm (SRA) has been developed as a potential tool for amplifying and determining weak chromatographic peaks in recent years. However, the conventional SRA cannot be applied directly to ultra‐performance liquid chromatography/time‐of‐flight mass spectrometry (UPLC/TOFMS). The obstacle lies in the fact that the narrow peaks generated by UPLC contain high‐frequency components...

chapter

A Multi-Component Stochastic Resonance Algorithm That Can Be Used to Detect Multiple Weak Chromatographic Peaks Simultaneously

Haishan Deng, Erxin Shang, Yuping Tang, Jin-ao Duan, more

2010 4th International Conference on Bioinformatics and Biomedical Engineering > 1 - 4

2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2010)

A new stochastic resonance algorithm based on the method of energy gain was developed by introduce an external energy field upon the chromatographic signals in order to simultaneously amplify and detect weak peaks from multi-component. The experimental weak chromatographic peaks from Para Red and Sudan I ~ IV were analyzed using the new algorithm. It was suggested that the proposed algorithm might...

article

Determination of medroxyprogesterone in water samples using dispersive liquid-liquid microextraction with low solvent consumption

Shaofei Xie, Bingren Xiang, Ming Zhang, Haishan Deng

Microchimica Acta > 2010 > 168 > 3-4 > 253-258

A simple, rapid and efficient extraction procedure, dispersive liquid-liquid microextraction with low solvent consumption, has been developed in combination with high-performance liquid chromatography-ultraviolet detection for the extraction and determination of medroxyprogesterone from aqueous samples. For this technique, 120 μL of the mixture of extraction solvent and dispersive solvent at a ratio...

article

Coupled stochastic resonance to improve chromatography determinations

Shaofei Xie, Bingren Xiang, Haishan Deng, Jingfang Wu

Analytical and Bioanalytical Chemistry > 2010 > 396 > 5 > 1921-1927

Traditional bistable stochastic resonance has been demonstrated as an effective tool to detect the weak signal in a strong noise background. To achieve a better signal-to-noise ratio for the output signal, a coupled stochastic resonance was developed by nonlinearly coupling two double-well potential systems. The response characteristics of coupled stochastic resonance subjected to analytical signals...

article

Tailoring noise frequency spectrum to improve NIR determinations

Shaofei Xie, Bingren Xiang, Liyan Yu, Haishan Deng

Talanta > 2009 > 80 > 2 > 895-902

Near infrared spectroscopy (NIR) contains excessive background noise and weak analytical signals caused by near infrared overtones and combinations. That makes it difficult to achieve quantitative determinations of low concentration samples by NIR. A simple chemometric approach has been established to modify the noise frequency spectrum to improve NIR determinations. The proposed method is to multiply...

article

Detection of Trace Triclocarban in Water Sample Using Solid-Phase Extraction−Liquid Chromatography with Stochastic Resonance Algorithm

Shaofei Xie, Haishan Deng, Bingren Xiang, Suyun Xiang

Environmental Science & Technology > 2008 > 42 > 8 > 2988 - 2991

article

Application of two-dimensional near-infrared correlation spectroscopy to the discrimination of Chinese herbal medicine of different geographic regions

Jun Lu, Bingren Xiang, Hao Liu, Suyun Xiang, more

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy > 2008 > 69 > 2 > 580-586

Fructus Lycii is a traditional Chinese medicinal herb. The objective of this paper was to apply two-dimensional (2D) near-infrared (NIR) correlation spectroscopy to the discrimination of Fructus Lycii of four different geographic regions. Generalized 2D-NIR correlation spectroscopy was able to enhance spectral resolution, simplify the spectrum with overlapped bands, and provide information about temperature-induced...

article

Periodic modulation-based stochastic resonance algorithm applied to quantitative analysis for weak liquid chromatography–mass spectrometry signal of granisetron in plasma

Suyun Xiang, Wei Wang, Bingren Xiang, Haishan Deng, more

International Journal of Mass Spectrometry > 2007 > 262 > 3 > 174-179

The periodic modulation-based stochastic resonance algorithm (PSRA) was used to amplify and detect the weak liquid chromatography–mass spectrometry (LC–MS) signal of granisetron in plasma. In the algorithm, the stochastic resonance (SR) was achieved by introducing an external periodic force to the nonlinear system. The optimization of parameters was carried out in two steps to give attention to both...

article

Improved stochastic resonance algorithm for enhancement of signal-to-noise ratio of high-performance liquid chromatographic signal

Shaofei Xie, Bingren Xiang, Haishan Deng, Suyun Xiang, more

Analytica Chimica Acta > 2007 > 585 > 1 > 60-65

Based on the theory of stochastic resonance, an improved stochastic resonance algorithm with a new criterion for optimizing system parameters to enhance signal-to-noise ratio (SNR) of HPLC/UV chromatographic signal for trace analysis was presented in this study. Compared with the conventional criterion in stochastic resonance, the proposed one can ensure satisfactory SNR as well as good peak shape...

article

A linear modulation-based stochastic resonance algorithm applied to the detection of weak chromatographic peaks

Haishan Deng, Bingren Xiang, Xuewei Liao, Shaofei Xie

Analytical and Bioanalytical Chemistry > 2006 > 386 > 7-8 > 2199-2205

A simple stochastic resonance algorithm based on linear modulation was developed to amplify and detect weak chromatographic peaks. The output chromatographic peak is often distorted when using the traditional stochastic resonance algorithm due to the presence of high levels of noise. In the new algorithm, a linear modulated double-well potential is introduced to correct for the distortion of the output...

article

Molecular Dynamics Studies of the Kinetics of Phase Changes in Clusters: Crystal Nucleation of (RbCl)108 Clusters at 600, 550, and 500 K

Haishan Deng, Jinfan Huang

Journal of Solid State Chemistry > 2001 > 159 > 1 > 10-18

Molecular dynamics computer simulations based on the Born–Mayer–Huggins potential function have been employed to study the crystal nucleation of (RbCl) ₁₀₈ clusters. When a completely melted (RbCl) ₁₀₈ cluster was cooled down at a cooling rate of 2.5×10 ¹¹ K/s, nucleation and crystal growth into the NaCl-type structure crystal was observed at the temperature ∼600 K. When a...

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