process optimization selectivity
Mechanism analysis and process optimization of …
The selectivity and solubility of 96 ionic liquids were calculated based on the conductor-like screening model for real solvents, and the best extractant, 1-ethyl-3-methylimidazolium acetate ([EMIM][AC]), was obtained. ... S1 shows the optimization process based on a sequential iterative optimization algorithm. 4.2. Environmental …
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Resin Screening to Optimize Chromatographic Separations
Abstract. The author presents an approach to screen resins for chromatographic optimization in the purification process of a protein drug substance. The protocol uses three steps to facilitate a ...
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Method development & optimization
conditions. True optimization of a method is a balance between selectivity, speed and efficiency, in order to produce resolution that fits the purpose of the application. Ideally, the development should result in a robust method that gives the laboratory a low overall price-per-injection and ultimately a cost-efficient assay. 1
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Catalytic selectivity and process optimization of the …
Catalytic selectivity and process optimization of the trimerization of toluene diisocyanate. Jin Hu & Xinya Zhang. Journal of Materials Science 52, …
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Process schemes of ethanol coupling to C4 olefins based on a …
Scheme numbers 550 and 914 were included in the modest yield optimization group; and scheme numbers 320, 440, and 653 were included in the yield optimization group at low temperatures. ... By analyzing the effect of different catalyst formulations on the ethanol conversion and C4 olefin selectivity, a process with a …
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High selectivity (SiN/SiO2) etching using an organic solution
Achieving high etching selectivity for SiN films relative to SiO 2 films is a serious issue for next generation devices and beyond. A SiN film deposited by low-pressure chemical vapor deposition, the film known as an LP-SiN film is used as a CMP stopper for the high-density plasma (HDP) CVD SiO 2 layer during shallow trench isolation (STI) …
ادامه مطلبElectronics | Free Full-Text | Process Optimization of …
Amorphous carbon hard mask (ACHM) films are widely used as etching hard masks in 3D-NAND flash memory, which has put forward higher requirements in the film deposition rate, film transparency, …
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Selectivity index and separation efficiency prediction in
In this study, two goals of this separation process are (1) to separate sulfur from iron (selectivity index is a suitable index for the evaluation of this separation process) and (2) to measure the recovery of FeO in concentrate regarding the recovery of sulfur in tailing (separation efficiency is a suitable index for the evaluation of this ...
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Process Optimization
Process optimization plays a crucial role in process analysis and evaluation. Generally, lower dissolvability and selectivity resulted in a larger circulation of solution which …
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Data-science driven autonomous process optimization
Autonomous process optimization involves the human intervention-free exploration of a range process parameters to improve responses such as product yield and selectivity. Uti-
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Understanding Lead Optimization
Understanding Lead Optimization. The drug discovery process begins with recognizing a disease or clinical condition in which there is a lack of adequate medical treatment. Once a potential drug has been identified, pre-clinical research can begin. This process includes several stages; the first of which involves identifying and validating the ...
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Catalytic selectivity and process optimization of the trimerization …
Request PDF | Catalytic selectivity and process optimization of the trimerization of toluene diisocyanate | The expansion of the industrial needs of isocyanurate type polyisocyanates and the ...
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(PDF) Design and simulation of cumene plant
The benefit of model-based process simulation and optimization to enhance and improve process development depends on the reliability of the underlying model. ... selectivity can be improved by ...
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Computer-Aided Molecular Design of Optimal Sustainable
Based on the objective to identify solvent with optimized key performance criteria (capacity and selectivity), the optimization model is formulated from the objective functions with the identified property models, molecular, and structural constraints. The optimization model is solved simultaneously for both of the capacity and selectivity.
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Process Optimization
Environment & Safety / Process Control / Process Optimization / Construction / Engineering & Design / Equipment / Information Systems / Loss …
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Process optimization of green diesel selectivity and …
The process optimization of hydrodeoxygenation of rubber seed oil was investigated on diesel range hydrocarbons selectivity and conversion of reaction intermediates. The comprehensive investigation has been performed on effects of reaction parameters and optimization condition using Response Surface Methodology.The …
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Immunoassay Methods
Immunoassays are used to quantify molecules of biological interest based on the specificity and selectivity of antibody reagents generated. In HTS and lead optimization projects, assays are designed to detect molecules that are produced intracellularly or secreted in response to compounds screened. This chapter describes …
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A Brief Introduction to Chemical Reaction Optimization
After further experiments using this information at higher factor bounds, the selectivity of the process was improved to 90.5% with a conversion of 78.4%, where the unconverted catechol could be easily recovered and …
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A Brief Introduction to Chemical Reaction Optimization
After further experiments using this information at higher factor bounds, the selectivity of the process was improved to 90.5% with a conversion of 78.4%, where the unconverted catechol could be easily recovered and recycled. Figure 3. ... By more frequent adoption of novel process optimization methods that involve the use of microreactors, we ...
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Why 90% of clinical drug development fails and how to improve it
Current drug optimization overly emphasizes potency/specificity using structure‒activity-relationship (SAR) but overlooks tissue exposure/selectivity in disease/normal tissues using structure‒tissue exposure/selectivity-relationship (STR), which may mislead the drug candidate selection and impact the balance of clinical dose/efficacy/toxicity.
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Process simulation and optimization of propane
Process optimization, exergy efficiency, and life cycle energy consumption-GHG emissions of the propane-to-propylene with/without hydrogen production process. ... The main challenge is undoubtedly the selectivity of hydrogen combustion in the presence of small molecular hydrocarbon compounds because these compounds are also easily …
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Esterification of Glycerol With Oleic Acid Over Hydrophobic …
Process Optimization. The ZrO 2-SiO 2-Me&EtPhSO 3 H catalyst was used to study the effect of process operating parameters. The influences of reaction temperature, catalyst concentration, glycerol-to-OA molar ratio, and reaction time on the catalytic glycerol esterification with OA were investigated. ... The selectivity of GDO and GTO also ...
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Why 90% of clinical drug development fails and how to improve it?
We propose a structure‒tissue exposure/selectivity–activity relationship (STAR) system to improve drug optimization process. STAR system classifies drug candidates into four different classes (I‒IV) based on three aspects: drug potency/selectivity to inhibit the molecular target using SAR studies with IC 50 or K i …
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Process optimization of green diesel selectivity and …
The process optimization of hydrodeoxygenation of rubber seed oil was investigated on diesel range hydrocarbons selectivity and conversion of reaction intermediates. The comprehensive investigation has been performed on effects of reaction parameters and optimization condition using Response Surface Methodology.
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Material Evaluation and Process Optimization of CNT-Coated …
Multi-walled carbon nanotubes (CNTs) as nano-reinforcements were introduced to facilitate the laser sintering process and enhance the thermal and mechanical properties of polymeric composites. A dual experimental-theoretical method was proposed to evaluate the processability and predict the process parameters of newly developed …
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Process Optimization
Process optimization is the practice of adopting structured methods and strategies to perfect processes within a specified set of parameters of a project, to accomplish business goals. It involves making adjustments and removing or rewriting certain steps, to make processes more accurate and productive. …
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Prediction of higher-selectivity catalysts by computer-driven
Asymmetric catalysis is widely used in chemical research and manufacturing to access just one of two possible mirror-image products. Nonetheless, the process of tuning catalyst structure to optimize selectivity is still largely empirical. Zahrt et al. present a framework for more efficient, predictive optimization. As a proof of principle, they ...
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Data-science driven autonomous process optimization
Autonomous process optimization involves the human-intervention-free exploration of a range of predefined process parameters to improve responses such as …
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Reactor design and selection for effective continuous …
Introduction. Continuous manufacturing, or continuous processing, is defined as "the material(s) and product are continuously charged into and discharged from the system respectively, throughout the duration of the process" [].Industries such as food, petrochemicals and automotive, have long since adopted automated and continuous …
ادامه مطلبModification and optimization of benzene alkylation process for
Then, the effect of feed temperature and the recycled benzene on EB selectivity are presented. At the end, in order to recuperate the whole process and increase the EB selectivity, an optimized process is introduced. The simulated results of the optimized process depict a considerable decrease in the unit's energy consumption. …
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