Solid Phase Microextraction 2016
DOI: 10.1007/978-3-662-53598-1_6
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Application of Solid-Phase Microextraction in Soil and Sediment Sampling

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Cited by 3 publications
(2 citation statements)
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“…According to the theory of SPME, increasing the extraction temperature can enhance the extraction efficiency. However, excessively high extraction temperatures can decrease the distribution coefficient of analytes between the fiber and the sample, potentially leading to matrix reactions [28]. Six different temperatures (70, 80, 90, 100, 110, and 120 • C) were investigated to determine the optimal extraction temperature, conducted using a 50/30 µm DVB/CAR on PDMS fiber, 4 g sample weight, 15 min equilibration time, 45 min extraction time, 280 • C desorption temperature, and 1.5 min desorption time.…”
Section: Single-factor Experimentsmentioning
confidence: 99%
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“…According to the theory of SPME, increasing the extraction temperature can enhance the extraction efficiency. However, excessively high extraction temperatures can decrease the distribution coefficient of analytes between the fiber and the sample, potentially leading to matrix reactions [28]. Six different temperatures (70, 80, 90, 100, 110, and 120 • C) were investigated to determine the optimal extraction temperature, conducted using a 50/30 µm DVB/CAR on PDMS fiber, 4 g sample weight, 15 min equilibration time, 45 min extraction time, 280 • C desorption temperature, and 1.5 min desorption time.…”
Section: Single-factor Experimentsmentioning
confidence: 99%
“…To address some of these issues, a method utilizing headspace-solid-phase microextraction coupled with gas chromatography/mass spectrometry (HS-SPME-GC/MS) has recently been developed to identify vanillin in fragrant vegetable oil [11]. However, in a previous study, this method employed a manual SPME holder without precise temperature control and orbital agitation during incubation, leading to potential fluctuation in the analytical results [26][27][28]. Moreover, the SPME optimization process in the recent study did not consider the matrix effect of the real sample, and the methodology validation was not comprehensive [11].…”
Section: Introductionmentioning
confidence: 99%