Liquid Contact-Selective Potentiometric Sensor Based on Imprinted Polymeric Beads Towards 17β-Estradiol Determination

Kamel, Ayman H.; Amr, Abd El‐Galil E.; Galal, Hoda R.; Elsayed, Elsayed Ahmed; Al-Sayady, A. I.

doi:10.3390/polym12071506

Cited by 7 publications

(1 citation statement)

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“…Prolonged exposure to E2 through drinking water is a significant cause of the increased incidence of reproductive diseases and cancer in humans 3 . Due to their widespread health effects, 4,5 strict monitoring of the E2 occurrence in water and foods using selective and sensitive methods is essential for consumers' safety.…”

Section: Introductionmentioning

confidence: 99%

Design and fabrication of electrochemical sensor based on molecularly imprinted polymer loaded onto silver nanoparticles for the detection of 17‐β‐estradiol

Regasa

Nyokong

2022

J of Molecular Recognition

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In this research report, we prepared an electrochemical sensor based on the molecularly imprinted poly(p‐aminophenol) supported by silver nanoparticles capped with 2‐mercaptobenzoxazole for the selective and sensitive detection of endocrine disrupting 17‐β‐estradiol (E2). The electropolymerization of the functional monomer prepared the proposed molecularly imprinted polymer (MIP) composite‐based sensor in the presence of E2 as a template. The recognition materials were characterized using Fourier transform infrared, cyclic voltammetry (CV), square wave voltammetry (SWV), scanning electron microscopy, energy‐dispersive X‐ray spectroscopy and X‐ray powder diffraction techniques. The electrochemical measurements were performed by employing both CV and SWV methods. We did the optimization of critical parameters affecting the sensor performances through the experimental design and verification. The developed sensor showed a linear range from 10 pM to 100 nM with the calculated quantification and detection limits of 1.86 and 6.19 pM, respectively. The incorporation of AgNP with high electrical conductivity into the MIP matrix enhanced the sensor's performance. Furthermore, the sensor was applied to determine E2 in real water samples without any sample preconcentration steps to achieve the percent recovery of 91.87% to 98.36% and acceptable reusability and storage stability performances.

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Section: Introductionmentioning

confidence: 99%