Molecularly imprinted polymers to detect profenofos and carbofuran selectively with QCM sensors

Autor: Peter A. Lieberzeit, Wongduan Sroysee, Maliwan Amatatongchai, Suticha Chunta
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Physics in Medicine, Vol 7, Iss, Pp-(2019)
DOI: 10.1016/j.phmed.2019.100016
Popis: Two different molecularly imprinted polymers (MIP) were designed to selectively bind the insecticides carbofuran (CBF) and profenofos (PFF). CBF-MIP are based on methacrylic acid (MAA) as a functional monomer, ethylene glycol dimethacrylate (EGDMA) as a crosslinker, and azobisisobutyronitrile (AIBN) as an initiator. The PFF-MIP comprised of polyurethane based on poly (4-vinylphenol) (PVP), and diphenyl methane-4,4′-di-isocyanate (DPDI) as functional monomers, phloroglucinol (PG) as the cross-linker, and diphenylmethane (DPM) as the porogen. For sensor measurement, MIPs were spin-coated onto one electrode pair of a dual-electrode QCM, while the second pair was spin-coated with NIPs. Fourier transform infrared (FT-IR) spectroscopy confirms successful template removal from the polymer matrix. The resulting CBF- and PFF-MIP coated onto quartz crystal microbalances (QCMs) lead to pesticide QCM sensors revealing the following analytical characteristics, respectively: dynamic detection range of 0.5–1000 μM for CBF-MIP and 10–1000 μM for PFF-MIP. In both cases, the MIP exhibit roughly ten times higher sensor signals, than the corresponding non-imprinted polymers (NIP). Keywords: Molecularly imprinted polymer (MIP), Quartz crystal microbalance (QCM), Carbofuran (CBF), Profenofos (PFF)
Databáze: OpenAIRE