Application of D-Limonene as a Bio-based Solvent in Low Density-Dispersive Liquid–Liquid Microextraction of Acidic Drugs from Aqueous Samples

This study deals with the application of different monoterpenes as relatively green bio-based solvents for low density-dispersive liquid–liquid microextraction (LD-DLLME) of different non-steroidal anti-inflammatory drugs (NSAIDs) from aqueous samples in comparison with conventional halogenated solv...

Full description

Saved in:
Bibliographic Details
Published in:Analytical Sciences 2019/12/10, Vol.35(12), pp.1385-1391
Main Authors: EL-DEEN, Asmaa Kamal, SHIMIZU, Kuniyoshi
Format: Article
Language:English
Subjects:
Anti-inflammatory agents
bio-based solvents
D-Limonene
Density
Dispersion
dispersive liquid–liquid microextraction
Eco-Scale
GAPI
Hydrogen-Ion Concentration
Hydrophobicity
Inflammation
Limit of Detection
Limonene
Limonene - chemistry
Linearity
Liquid Phase Microextraction - methods
Monoterpenes
Nonsteroidal anti-inflammatory drugs
Pharmaceutical Preparations - analysis
Pharmaceutical Preparations - chemistry
Pharmaceutical Preparations - isolation & purification
Response surface methodology
Solvents
Solvents - chemistry
uncertainty
Water - chemistry
Water Pollutants, Chemical - analysis
Water Pollutants, Chemical - chemistry
Water Pollutants, Chemical - isolation & purification
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study deals with the application of different monoterpenes as relatively green bio-based solvents for low density-dispersive liquid–liquid microextraction (LD-DLLME) of different non-steroidal anti-inflammatory drugs (NSAIDs) from aqueous samples in comparison with conventional halogenated solvents. Results indicated that D-limonene could extract the hydrophobic compounds with higher %recovery compared with other bio-based and halogenated solvents. The LD-DLLME procedure was optimized by applying one-factor-at-a-time (OFAT) followed by central composite face-centered design (CCF) of the response surface methodology (RSM). Under the optimal conditions, the method exhibited good linearity with r ≥ 0.9950 with low LOD as well as LOQ levels in the range of 0.11 to 0.81 and 0.36 to 2.69 ng/mL, respectively. The method was efficiently applied to a variety of real aqueous samples. Finally, the green aspect of our procedure was compared with some reported methods using two green metric tools.
ISSN:0910-6340
1348-2246
DOI:10.2116/analsci.19P360