Electroless deposition of silver nanofractals on copper wire by galvanic displacement as a simple technique for preparation of porous solid‐phase microextraction fibers

Abstract

A novel and porous solid‐phase microextraction fiber was prepared by quick and simple galvanic displacement reaction and applied to the determination of some polycyclic aromatic hydrocarbons in sunflower oil. The parameters affecting the porosity and thickness of the fiber, and parameters affecting the extraction efficiency, including the extraction time, temperature, and ionic strength, were investigated and optimized. The morphology of prepared fiber was characterized by optical and scanning electron microscopy and thermal and chemical stabilities of the fiber were studied. Under the optimum conditions, the limits of detection ranged between 0.1 ng/mL for pyrene to 1.2 ng/mL for anthracene, and LOQ ranged between 0.3 ng/mL for pyrene to 3.6 ng/mL for anthracene. The relative standard deviations, including repeatability (within fibers) and reproducibility (between fibers), varied between 3.2–8.9 and 5.6–9.8%, respectively.

Recent Advances in Sample Preparation and Chromatographic/Mass Spectrometric Techniques for Detecting Polycyclic Aromatic Hydrocarbons in Edible Oils: 2010 to Present

“…To overcome these drawbacks, researchers have been searching for novel fibers with high extraction efficiency, low cost, and thermal stability. Hasanli et al [ 54 ] prepared a novel porous nanostructured SPME fiber (SNF@Cu) using a fast and simple galvanic displacement reaction, which was applied in conjunction with GC-MS for the determination of PAHs in sunflower oil. The LODs of the method were 0.1–1.2 ng/mL, and the LOQs were 0.3–3.6 ng/mL.…”

A Surface-Enhanced Raman Spectroscopic Sensor Pen

“…However, the qualities of SERS substrates determines the signal enhancement of SERS. Many SERS substrate preparation methods have been reported and are available, including electron beam lithography, chemical vapor deposition, nanoparticle (NP) deposition, and self-assembly NPs [4][5][6][7]. These exhibit excellent detection performances, but large-scale preparation always leads to laborious and quite expensive processes.…”