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https://hdl.handle.net/11499/10049
Title: | A sensitive molecular imprinted surface plasmon resonance nanosensor for selective determination of trace triclosan in wastewater | Authors: | Atar, Necip Eren, Tanju Yola, Mehmet Lütfi Wang, Shaobin |
Keywords: | Molecular imprinting Nanosensor Surface plasmon resonance Triclosan Wastewater Antifungal agents Aquatic organisms Atomic force microscopy Chemical detection Fourier transform infrared spectroscopy Groundwater Groundwater resources Health risks Nanosensors Plasmons Resonance Sulfur compounds Water resources 2-hydroxyethyl methacrylate Ecological systems Personal care products Quantitative determinations Selective detection Selective determination |
Publisher: | Elsevier | Abstract: | Triclosan (TCS) has been widely used as an antibacterial and antifungal agent in household cleaning and personal care products. The widespread use of TCS in the cleaning products poses a potential risk to the ecological system and human health due to its release into sediments, wastewater and ground water resources causing chronicle toxicity to aquatic organisms. However, no simple method is available for its detection and quantitative determination in aqueous solution. A novel molecular imprinted surface plasmon resonance (SPR) chemical sensor was developed for sensitive and selective detection of triclosan (TCS) in wastewater, using allylmercaptane modified gold SPR chip and imprinted poly(2-hydroxyethyl methacrylate-methacryloylamidoglutamic acid) [p(HEMAGA)] nanofilm. The unmodified and imprinted surfaces of the SPR chip were characterized by Fourier transform infrared (FTIR) spectroscopy, atomic force microscopy (AFM) and contact angle measurements. The developed sensor was validated according to the ICH guideline (International Conference on Harmonisation). The linearity range and detection limit of TCS were obtained as 0.05-1.0 ng/mL and 0.017 ng/mL, respectively. The developed molecular imprinted nanosensor was successfully applied to wastewater samples for the determination of TCS and exhibited excellent performance. © 2015 Elsevier B.V. All rights reserved. | URI: | https://hdl.handle.net/11499/10049 https://doi.org/10.1016/j.snb.2015.04.076 |
ISSN: | 0925-4005 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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