Literature DB >> 27469003

Fully Automated Headspace Bubble-in-Drop Microextraction.

Liang Guo1,2, Nurliyana Binte Nawi1, Hian Kee Lee1,2.   

Abstract

A fully automated headspace bubble-in-drop microextraction (automated HS-BID) method, coupled to gas chromatography/mass spectrometric (GC/MS) analysis, was developed for the analysis of nitro musks in environmental water samples. The entire procedure, including the extraction of the analytes by HS-BID and GC/MS analysis of the analyte-enriched solvent, was completely automated. In BID, a certain volume of air is introduced into the extraction solvent droplet, enlarging the surface area of the extraction solvent droplet in relation to the water sample without increasing its volume, significantly enhancing extraction efficiency. Compared to conventional single drop microextraction, the developed method has higher extraction efficiency due to the enlarged surface area of the extraction solvent droplet. Under the optimized conditions (1.0 mL of sample solution, using 1.0 μL of 1-octanol containing of 0.5 μL of air bubble, at 40 °C for extraction for 20 min), the automated HS-BID gave low limits of detections (between 0.012 and 0.042 μg/L), good linearity (from 0.1 to 20 μg/L and from 0.2 to 50 μg/L, with r(2) between 0.9909 and 0.9958, depending on analytes), and good repeatability of the extractions (relative standard deviations, below 4.7%, n = 5). The developed procedure was applied to determine nitro musks in environmental water samples and was demonstrated to be efficient, labor-free, economical, and environmentally benign.

Entities:  

Year:  2016        PMID: 27469003     DOI: 10.1021/acs.analchem.6b01543

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  1 in total

1.  Magnetic extractant with an Fe3O4@SiO2 core and aqueous ammonia coating for microextraction of petroleum acids.

Authors:  Gang-Tian Zhu; Fei Liu; Sheng He; Xiao-Mei He; Shu-Kui Zhu; Yu-Qi Feng
Journal:  RSC Adv       Date:  2018-05-29       Impact factor: 3.361

  1 in total

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