Carbonized cotton fibers via a facile method for highly sensitive solid-phase microextraction of polycyclic aromatic hydrocarbons.
Chunying LiMin SunXiangping JiSen HanXiuqin WangYu TianJuanjuan FengPublished in: Journal of separation science (2019)
Cotton fiber is an environmentally friendly and natural material with a certain extraction capacity, while its enrichment ability is poor. In order to improve the extraction efficiency of cotton fibers, it was carbonized to form a layer of amorphous carbon as the sorbent by a simple carbonization method. Carbonized cotton fibers were filled into a polyetheretherketone tube for in-tube solid-phase microextraction. The carbonization time was investigated to obtain high extraction efficiency. Coupled to high-performance liquid chromatography, the extraction tube was evaluated with polycyclic aromatic hydrocarbons, estrogens and phthalates, and it exhibited best extraction efficiency for polycyclic aromatic hydrocarbons. Under the optimum conditions, an online analysis method for several polycyclic aromatic hydrocarbons was established with large linear ranges (0.016-0.20 μg/L), low limits of detection (0.005-0.020 μg/L), and high enrichment factors (948-2874). Analysis method was successfully applied to the detection of targets in the real samples and shown satisfactory durability and chemical stability. Moreover, the relative recoveries ranged from 82 to 119.2%, which demonstrated the applicability of carbonized cotton fibers in sample preparation. Compared with other reported methods, the proposed method provided shorter extraction time, higher enrichment factors, comparable limits of detection, and recoveries.
Keyphrases
- polycyclic aromatic hydrocarbons
- high performance liquid chromatography
- label free
- loop mediated isothermal amplification
- solid phase extraction
- mass spectrometry
- real time pcr
- simultaneous determination
- room temperature
- sewage sludge
- highly efficient
- gold nanoparticles
- ms ms
- heavy metals
- reduced graphene oxide
- metal organic framework
- anaerobic digestion
- sensitive detection