mixed solvents
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Author(s):  
Mehri Kouhkan ◽  
Parisa Abbasi ◽  
Peyvand Ghanbarpour ◽  
Elaheh Rahimpour ◽  
William E. Acree ◽  
...  

2022 ◽  
pp. 126514
Author(s):  
Quanxiu Wang ◽  
Can Li ◽  
Lanmeng Wei ◽  
Chenglian Lu ◽  
Mengyao Chen ◽  
...  

Author(s):  
Daniel Alvarez- Garcia ◽  
Peter Schmidtke ◽  
Elena Cubero ◽  
Xavier Barril

Background: Mixed solvents MD simulations have proved to be a useful and increasingly accepted technique with several applications in structure-based drug discovery Method: Mixed solvents MD simulations have proved to be a useful and increasingly accepted technique with several applications in structure-based drug discovery Result: As such, they are hardly transferable to different molecules. Conclusion: To achieve transferable energies, we present here a method for decomposing the molecular binding free energy into accurate atomic contributions and we demonstrate with two qualitative visual examples how the corrected energy maps better match known binding hotspots and how they can reveal hidden hotspots with actual drug design potential.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Guo-wei Zhou ◽  
Yong-mei Li ◽  
Chun-ni Liu ◽  
Hong-min Ren ◽  
Hai-ying Li

A simple, fast, and reliable method was established for simultaneous determination of 43 pesticides in Schizonepeta tenuifolia. The samples were prepared using solid-phase extraction (SPE) method. Pesticides were extracted from Schizonepeta tenuifolia using acetonitrile, cleaned with Pesticarb/NH2, and eluted by mixed solvents of acetonitrile and toluene (3 : 1, v/v). Selected pesticides were identified using DB-35MS capillary column and detected by gas chromatography mass spectrometry. Samples were quantified by external standard method. Recoveries for the majority of pesticides at spike levels of 0.2, 0.5, and 1 mg kg−1 ranged between 70 and 120% (except for Chlorothalonil, Thiamethoxam, and Dicofol), and the relative standard deviations (RSDs n = 6) were 1.32%–13.91%. Limits of detection (LODs) were 0.0011–0.0135 mg kg−1, whereas limits of quantification (LOQs) were 0.0038–0.0451 mg kg−1. The satisfactory accuracy and precision, in combination with a good separation and few interferences, have demonstrated the strong potential of this technique for its application in Schizonepeta tenuifolia analysis.


Author(s):  
Ruolong Gan ◽  
Junrong Li ◽  
Xiuhua Cao ◽  
Jun Huang ◽  
Liying Qian

The copper end paste used in multilayer ceramic capacitors sintered in nitrogen atmosphere will lead to carbon residue of organic vehicle, which will lead to the reduction of electrode conduc-tivity and high scrap rate. With an attempt to leave no residue in the sintering, the compatibility of solvents and thickeners should be improved because it has an important influence on the hi-erarchical volatilization and carbon residue of organic vehicles. In this work, the volatility of different solvents was compared and several solvents were mixed in a definite proportion to prepare an organic vehicle with polyacrylate resins. The hierarchical volatility and solubility parameters of mixed solvents were adjusted effectively by changing proportions of different components, the thermogravimetric curves of resins and organic vehicles were measured by thermogravimetric analyzer, the effect of solubility parameter on the dissolvability of resins in the solvent and the residual of organic vehicles were studied. Results showed that the hierar-chical volatilization of solvents can be obtained by mixing different solvents; the intrinsic vis-cosity of the organic vehicle is higher and the thermal decomposition residue of polyacrylate resins is lower when the solubility parameters of mixed solvents and polyacrylate resins are closer. The low residual sintering of organic vehicles can be achieved by using the mixed solvent with hierarchical volatility and approximate solubility parameters as resins.


2021 ◽  
pp. 118223
Author(s):  
Abolghasem Jouyban ◽  
Elaheh Rahimpour ◽  
Zahra Karimzadeh ◽  
Hongkun Zhao

2021 ◽  
pp. 118352
Author(s):  
Homa Rezaei ◽  
Elaheh Rahimpour ◽  
Hongkun Zhao ◽  
Fleming Martinez ◽  
Mohammad Barzegar-Jalali ◽  
...  

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