Abstract
An optical fiber localized surface plasmon resonance (LSPR) sensor was proposed and experimentally demonstrated to detect Hg2+ ions by functionalizing the optical fiber surface with gold nanoparticles (AuNPs) and chitosan (CS)/poly acrylic acid (PAA) bilayers. A flame-brushing technology was proposed to post-process the polydimethyl diallyl ammonium chloride(PDDA)-templated nanoparticles, avoiding the aggregation of AuNPs and achieving well-dispersed AuNPs arrays. LSPR stimulated by the AuNPs is sensitive to changes in the refractive index induced by Hg2+ ions absorption on the CS/PAA bilayers. Experimental results demonstrated that the LSPR peak wavelength linearly shifts with the concentrations of Hg2+ ions from 1 to 30 μM with a sensitivity of around 0.51 nm/ppm. The sensor also exhibits good specificity and longtime stability.
Highlights
Mercury ions (Hg2+ ) are one of the main sources of heavy metal pollution in water
We proposed and experimentally demonstrated a heavy metal Hg2+ sensor based on the optical fiber localized surface plasmon resonance (LSPR)
It appears that both the central the metal sensor, the proposed sensor was experimentally employed to test the spectral of the heavy metal sensor, the proposed LSPR sensor was experimentally employed to test the wavelength and of the2+
Summary
Mercury ions (Hg2+ ) are one of the main sources of heavy metal pollution in water. Contamination by Hg2+ , causes serious environmental problems, and central nervous system disorders, kidney or liver disorders due to the toxicity and carcinogenicity [1]. Spectroscopic-based techniques, such as atomic absorption spectroscopy [2] and inductively coupled plasma spectroscopy [3], are amongst the most commonly used methods and have accurate Hg2+ detection capability. These spectroscopic techniques have the same drawback of high cost due to the maintenance required for this sophisticated equipment. The sample preparation process makes these methods time consuming. All of these undoubtedly urge the generation of new sensing technologies with simplicity, rapidity, low cost, and high sensitivity
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