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A green extraction material — natural cotton fiber for in‐tube solid‐phase microextraction
Author(s) -
Feng Juanjuan,
Han Sen,
Ji Xiangping,
Li Chunying,
Wang Xiuqin,
Tian Yu,
Sun Min
Publication year - 2019
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201801233
Subject(s) - extraction (chemistry) , solid phase microextraction , repeatability , chromatography , detection limit , fiber , materials science , scanning electron microscope , solid phase extraction , high performance liquid chromatography , desorption , analytical chemistry (journal) , chemistry , mass spectrometry , gas chromatography–mass spectrometry , composite material , adsorption , organic chemistry
Natural cotton fiber was applied as a green extraction material for in‐tube solid‐phase microextraction. Cotton fibers were characterized by scanning electron microscope. A bundle of cotton fibers (685 mg, 20 cm) was directly packed into a polyetheretherketone tube (i.d. 0.75 mm) to get the extraction device. It was connected into high performance liquid chromatography, building an online extraction and dectection system. Through the online analysis system, several polycyclic aromatic hydrocarbons were used as the targets to evaluate the extraction performace of the device. In order to get high extraction efficiency and sensitivity, the extraction and desorption conditions were optimized. Under the optimum conditions, the sensitive analysis method was established, and provided low limits of detection of 0.02 and 0.05 μg/L, good linearity ranges of 0.06–15 and 0.16–15 μg/L, as well as high enrichment factors of 176–1868. The method was applied to the online determination of trace polycyclic aromatic hydrocarbons in snow water and river water, and the relative recoveries corresponding to 2 and 5 μg/L were in the range of 80–116%. The repeatability of extraction and preparation of the device was investigated and the relative standard deviations ( n  = 3) were less than 3.6 and 5.2%.

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