Behavior of solute adsorbed at the liquid-liquid interface during solvent extraction with porous-membrane phase separators

1987 ◽  
Vol 59 (1) ◽  
pp. 2-7 ◽  
Author(s):  
Gocool. Persaud ◽  
Xiu Min. Tian ◽  
Frederick F. Cantwell
Keyword(s):  
Solvent Extraction ◽  
Porous Membrane ◽  
Liquid Interface ◽  
Membrane Phase

scholarly journals Porous membrane phase separator in solvent extraction.

1987 ◽  
Vol 3 (6) ◽  
pp. 583-584 ◽  
Author(s):  
Kousaburo OHASHI ◽  
Syozo KOKUBO ◽  
Shohei TAMURA ◽  
Katsumi YAMAMOTO
Keyword(s):  
Solvent Extraction ◽  
Porous Membrane ◽  
Membrane Phase ◽  
Phase Separator

scholarly journals Ultrasound-Assisted Solvent Extraction of a Porous Membrane Packed Sample for the Determination of Tobacco-Specific Nitrosamines in the Replacement Liquids for E-Cigarettes

Molecules ◽  
2019 ◽  
Vol 24 (24) ◽  
pp. 4618 ◽  
Author(s):  
Paweł Kubica
Keyword(s):  
Solvent Extraction ◽  
Sample Preparation ◽  
Electronic Cigarettes ◽  
Multiple Reaction Monitoring ◽  
Porous Membrane ◽  
Liquid Chromatography Tandem Mass ◽  
Multiple Reaction Monitoring Mode ◽  
Ultrasound Assisted ◽  
Tobacco Specific Nitrosamines

The content of tobacco-specific nitrosamines (TSNAs) possessing carcinogenic properties has been an important area of research since replacement liquids were introduced for e-cigarettes. A method for determining N′-nitrosonornicotine (NNN), 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), N′-nitrosoanatabine (NAT), and N′-nitrosoanabasine (NAB) in replacement liquids for electronic cigarettes was developed using liquid chromatography–tandem mass spectrometry with electrospray ionisation (HPLC-ESI-MS/MS) in the multiple reaction monitoring mode. The sample preparation of replacement liquids was accomplished via the ultrasound-assisted solvent extraction of a porous membrane packed sample. The sample preparation proved to be successful in extracting the analytes, with recoveries from 87% to 105%, with coefficients of variation < 4.9%. Moreover, the linearity and limits of detection and quantitation (LOD, LOQ), together with repeatability and accuracy, were determined for the developed method. The proposed sample preparation and developed chromatographic method were successfully applied to the determination of TSNAs in 9 replacement liquid samples. The NNK and NNN were found to be most frequently detected (89 and 67%, respectively), with concentration ranges from 1.2–54.3 ng/mL and 4.1–30.2 ng/mL, respectively, while NAT was detected with frequency of 22% with range 1.7–2.5 ng/mL and NAB were found to be below the LOD in all samples.

Use of peak height for quantification in solvent extraction/flow injection analysis

1985 ◽  
Vol 63 (9) ◽  
pp. 2559-2563 ◽  
Author(s):  
Jamal A. Sweileh ◽  
Frederick F. Cantwell
Keyword(s):  
Solvent Extraction ◽  
Flow Rate ◽  
Flow Injection Analysis ◽  
Peak Height ◽  
Membrane Phase ◽  
Flow Rates ◽  
Organic Extract ◽  
Sample Concentration ◽  
Band Dispersion ◽  
Phase Separator

The following equation is derived which expresses peak height (P.H.) in terms of sample concentration injected (CSAMP), detector sensitivity (SF), dilution due to band dispersion (Rv), fraction extracted [Formula: see text], flow rates of carrier (FCarrier), organic phase (Fo), and compensating solvent (Fc), and flow rate of organic extract through the membrane phase separator (FM):[Formula: see text]Each term in the equation is evaluated experimentally to validate the equation.

Structure of a liquid/liquid interface during solvent extraction combining X-ray and neutron reflectivity measurements

2015 ◽  
Vol 17 (23) ◽  
pp. 15093-15097 ◽  
Author(s):  
E. Scoppola ◽  
E. Watkins ◽  
G. Li Destri ◽  
L. Porcar ◽  
R. A. Campbell ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Solvent Extraction ◽  
Structural Information ◽  
Liquid Interface ◽  
Neutron Reflectivity ◽  
Distribution Profile ◽  
X Ray ◽  
Molecular Ordering

Combining neutron and X-ray reflectivity structural information from a liquid/liquid interface containing extractant molecules and ions is obtained. A Monte-Carlo simulation permits us to build a molar distribution profile across the interface, even if no molecular ordering exists.

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