Literature DB >> 20092360

Dispersive liquid-liquid microextraction coupled with dispersive micro-solid-phase extraction for the fast determination of polycyclic aromatic hydrocarbons in environmental water samples.

Zhi-Guo Shi1, Hian Kee Lee.   

Abstract

A new two-step microextraction technique, combining dispersive liquid-liquid microextraction (DLLME) and dispersive microsolid-phase extraction (D-micro-SPE), was developed for the fast gas chromatographic-mass spectrometric determination of polycyclic aromatic hydrocarbons (PAHs) in environmental samples. A feature of the new procedure lies in that any organic solvent immiscible with water can be used as extractant in DLLME. A special apparatus, such as conical-bottom test tubes, and tedious procedures of centrifugation, refrigeration of the solvent, and then thawing it, associated with classical DLLME or similar techniques are not necessary in the new procedure, which potentially lends itself to possible automation. In the present D-micro-SPE approach, hydrophobic magnetic nanoparticles were used to retrieve the extractant of 1-octanol in the DLLME step. It is noteworthy that the target of D-micro-SPE was the 1-octanol rather than the PAHs. Because of the rapid mass transfer associated with the DLLME and the D-micro-SPE steps, fast extraction could be achieved. Parameters affecting the extraction efficiency were investigated in detail. The optimal conditions were as follows: vortex at 3200 rpm in the DLLME step for 2 min and in D-micro-SPE for 1 min and then desorption by sonication for 4 min with acetonitrile as the solvent. The results demonstrated that enrichment factors ranging from 110- to 186-fold were obtained for the analytes. The limits of detection and the limits of quantification were in the range of 11.7-61.4 pg/mL and 0.04-0.21 ng/mL, respectively. The linearities were 0.5-50, 1-50, or 2-50 ng/mL for different PAHs. Finally, the two-step extraction method was successfully used for the fast determination of PAHs in river water samples. This two-step method, combining two different and efficient miniaturized techniques, provides a fast means of sample pretreatment for environmental water samples.

Entities:  

Year:  2010        PMID: 20092360     DOI: 10.1021/ac9023632

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


  5 in total

1.  Simultaneous extraction of 32 polychlorinated biphenyls by using magnetic carbon nanocomposite based dispersive microextraction, subsequent dispersive liquid-liquid microextraction with two miscible stripping solvents, and quantitation by GC-μECD.

Authors:  Najmeh Yazdanfar; Mojtaba Shamsipur; Mahnaz Ghambarian
Journal:  Mikrochim Acta       Date:  2019-02-15       Impact factor: 5.833

2.  Ionic liquid-based dispersive liquid-liquid microextraction followed by magnetic solid-phase extraction for determination of quinolones.

Authors:  Jiawei Hong; Xiaomei Liu; Xiuying Yang; Yousheng Wang; Longshan Zhao
Journal:  Mikrochim Acta       Date:  2021-12-04       Impact factor: 5.833

3.  Magnetic nanoparticles assisted dispersive liquid-liquid microextraction of chloramphenicol in water samples.

Authors:  Salwani Md Saad; Nur Afiqah Aling; Mazidatulakmam Miskam; Mardiana Saaid; Nur Nadhirah Mohamad Zain; Sazlinda Kamaruzaman; Muggundha Raoov; Nor Suhaila Mohamad Hanapi; Wan Nazihah Wan Ibrahim; Noorfatimah Yahaya
Journal:  R Soc Open Sci       Date:  2020-04-08       Impact factor: 2.963

4.  Fully-automated magnetic stirring-assisted lab-in-syringe dispersive liquid-liquid microextraction for the determination of arsenic species in rice samples.

Authors:  Xiaojun Wang; Guoliang Xu; Peng Chen; Yueshu Sun; Xiaoting Yao; Yan Lv; Weiwei Guo; Guozhen Wang
Journal:  RSC Adv       Date:  2018-05-08       Impact factor: 3.361

5.  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

  5 in total

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