Online IT-SPME-HPLC analysis based on durable carbon fibers for determining polycyclic aromatic hydrocarbons in seawater
Year: 2026
Type: article
Abstract: • Stable and inexpensive carbon fibers displayed great potential for in-tube SPME. • Carbon fibers enriched PAHs by hydrophobic and π-stacking effects. • An online IT-SPME-HPLC-DAD method sensitively detected PAHs in seawater. • Carbon fibers are also promising for the enrichment or adsorption of other targets. Due to the carcinogenic toxicity of polycyclic aromatic hydrocarbons (PAHs), it is necessary to sensitively detect PAHs in seawater. Given their trace levels in seawater, sample pretreatment was required before the detection. In this work, carbon fibers (CFs) of 57 mg were filled into 30.0 cm length of polyetheretherketone tube for in-tube solid-phase microextraction (IT-SPME). The morphology of CFs displayed the grooved surface and micrometer diameters (8–10 μm). The tube was adopted to enrich PAHs, then the optimum extraction and desorption factors (sample volume of 60 mL, flow rate of 2.0 mL min −1 , and desorption time of 2.0 min) were achieved by coupling with liquid chromatographic detection. Furthermore, online IT-SPME-HPLC-DAD method was established for PAHs in seawater, giving linear ranges (0.033–10.0 μg L −1 , 0.167–10.0 μg L −1 ), and low detection limits (0.01–0.05 μg L −1 ) resulting from high enriching effect (100–860) within 18.0 min. Then, the method was successfully applied in the detection of PAHs in seawater samples. Compared with other analytical methods, the method was online, simple and efficient. In the future, the CFs-based method is expected to determine other targets from environmental, food, biological and other fields.
Source: Journal of Chromatography A
Authors: Yaming Sun, Ziyi Xu, Ke Zhang, Yue Zhang, Bing Wang, Juanjuan Feng, Min Sun
Institutions: China Tobacco, University of Jinan
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,040
Award: G4612643658
OpenAlex ID: W7144314737
