4.7 Article

A hollow microporous organic network as a fiber coating for solid-phase microextraction of short-chain chlorinated hydrocarbons

期刊

MICROCHIMICA ACTA
卷 185, 期 9, 页码 -

出版社

SPRINGER WIEN
DOI: 10.1007/s00604-018-2955-7

关键词

Solid-phase microextraction; Short-chain chlorinated paraffins; Gas chromatography mass spectrometry; Hollow microporous organic network; Negative chemical ionization; Box-Behnken design; Atmospheric particulate matter; Sediments; Organisms; Water samples

资金

  1. National Natural Science Foundation of China [21777089]
  2. Natural Science Foundation of Shandong Province [ZR2018MB040]
  3. Key Research and Development Program of Shandong Province [2017GSF17107, 2017CXGC0223, 2018GSF117036]
  4. Fundamental Research Funds of Shandong Academy of Sciences
  5. Funds for Fostering Distinguished Young Scholar of Shandong Academy of Sciences

向作者/读者索取更多资源

A solid-phase microextraction (SPME) fiber coated with a hollow microporous organic network (H-MON) was fabricated for the analysis of short-chain chlorinated paraffins (SCCPs). The sorbent was prepared by reacting tetra(4-ethynylphenyl)methane and 1,4-diiodobenzene using bis-(triphenylphosphine) palladium(II) as the catalyst in the presence of silica sphere templates, which then were removed by hydrofluoric acid. The SCCPs were quantified by GC-MS working in the negative chemical ionization mode. The H-MON has a high specific surface (701 m(2)center dot g(-1)) and microporosity (pore size < 2 nm). Extraction temperature, extraction time, and ionic strength of the sample solutions were optimized by using the Box-Behnken design. The head-space SPME exhibits better extraction performance than the direct immersion mode. Under optimal working conditions, the detection limit (3 times of the standard deviation) is 0.03 ng center dot mL(-1) in the water samples. Response is linear in the 0.05-10 ng center dot mL(-1) concentration range. Repeatability and reproducibility, expressed as the relative standard deviations, ranged from 4.6 to 11.0%. The method was successfully applied in the analysis of SCCPs in water, sediments, organisms, and atmospheric particulate matter samples.

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