A comparison of three liquid chromatography (LC) retention time prediction models
نویسندگان
چکیده
منابع مشابه
Novel consensus quantitative structure-retention relationship method in prediction of pesticides retention time in nano-LC
In this study, quantitative structure-retention relationship (QSRR) methodology employed for modeling of the retention times of 16 banned pesticides in nano-liquid chromatography (nano-LC) column. Genetic algorithm-multiple linear regression (GA-MLR) method employed for developing global and consensus QSRR models. The best global GA-MLR model was established by adjusting GA parameters. Three de...
متن کاملDevelopment of a Liquid Chromatography High Resolution Mass Spectrometry (LC-
31 Background: Ebola virus like particles; (EBOV VLPs, eVLPs), are produced by expressing the 32 viral transmembrane glycoprotein (GP) and the structural matrix protein VP40 in mammalian 33 cells. When expressed, these proteins self-assemble and bud from ‘host’ cells displaying 34 morphology similar to infectious virions. Several studies have shown that rodents and non35 human primates vaccinat...
متن کاملStudy on retention in liquid chromatography.
After joining the faculty at Toyohashi University of Technology (TUT) in 1978, the author has found two areas in separation sciences where microcolumn liquid chromatography (micro-LC) can be beneficial. One is the hyphenated techniques between many spectroscopic methods such as mass (MS), infrared (FT-IR) and atomic emission (ICP), and micro-LC. The other one is rather difficult, but basic and ...
متن کاملQSRR models of veterinary drugs in milk in ultra-performance liquid chromatography coupled to time of flight mass spectrometry
The veterinary drugs residues are also important pollutants found in milk, since veterinary drugs are commonly used in cattle management. Considering the role of milk in human nutrition and its wide consumption throughout the world, it is very important to ensure the milk quality. A quantitative structure–retention relationship (QSRR) was developed using the partial least square (PLS), Kernel P...
متن کاملPrediction of Vapor-Liquid Equilibria Using CEOS /GE Models
The present study investigates the use of different GE mixing rules in cubic equations of state for prediction of phase behavior of multicomponent hydrocarbon systems. To predict VLE data in multicomponent symmetric and asymmetric mixtures such as systems that contain light gases (nitrogen, carbon dioxide, etc.) and heavy hydrocarbons, the SRK equation of state has been combined with excess Gib...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Talanta
سال: 2018
ISSN: 0039-9140
DOI: 10.1016/j.talanta.2018.01.022