scholarly journals An Ultra-Sensitive Molecularly Imprinted Poly(Aniline) Based Electrochemical Sensor for the Determination of Bisphenol A in Synthetic Human Serum Specimen and Plastic Bottled Water Samples

Author(s):  
Sibel A. A OZKAN ◽  
S. Irem KAYA ◽  
Goksu Ozcelikay ◽  
Canan Armutcu

Abstract We explain the development of an ultra-sensitive molecularly imprinted polymer-based electrochemical sensor for rapid and selective determination of bisphenol A (BPA) in human serum and water samples. Electropolymerization of functional monomer aniline was performed in the presence of BPA by cyclic voltammetry (CV) to prepare a molecularly imprinted poly(aniline) based GCE sensor (MIP(ANI)/GCE). The developed MIP surface was characterized using Fourier-transform infrared spectroscopy, Raman spectrometry, scanning electron microscopy, contact angle measurements, CV, and electrochemical impedance spectroscopy. The MIP(ANI)/GCE sensor showed a highly sensitive performance with a linear range of 1.0 and 8.0×10−15 M. The limit of detection (LOD) and limit of quantification (LOQ) values were 0.193 and 0.643 fM, respectively. The applicability of the MIP(ANI)/GCE was assessed by applying it to human serum and plastic bottled water samples. The LOD and LOQ values were calculated as 0.257 and 0.856 fM for the serum sample. Imprinting factor and interference studies were also carried out using similarly structured compounds and the most common interfering agents showing the selectivity of the MIP(ANI)/GCE sensor. Finally, the non-imprinted polymer (NIP)-based sensor was prepared to control the MIP(ANI)/GCE performance.

2021 ◽  
pp. 174751982198995
Author(s):  
Yi Wang ◽  
Jianshe Tang ◽  
Li Xiang

A simple and efficient electrochemical sensor based on a homemade reshaped micropipette tip carbon paste electrode is reported. Molecularly imprinted polymer membranes of graphene oxide and polypyrrole are synthesized and modified on the surface of micropipette tip carbon paste electrode. The merit of the method is evaluated under optimized conditions via differential pulse voltammetrics. The prepared sensor exhibits remarkable sensitivity toward dopamine with a linear range of 6.4 × 10−8–2 × 10−4 M, with a limit of detection as low as 1 × 10−8 M. The proposed method is applied for the determination of dopamine in urine samples by the standard addition route. A range of 1 × 10−7–1 × 10−4 M is obtained from these samples. The relative recoveries are in the range of 95.2%–104%. The proposed method has acceptable performance for the determination of dopamine in real samples with excellent sensitivity and selectivity.


2020 ◽  
Vol 16 (4) ◽  
pp. 413-420 ◽  
Author(s):  
Youyuan Peng ◽  
Qiaolan Ji

Background: As a broad-spectrum antibiotic of the sulfonamide family, Sulfadimethoxine (SDM) has been widely utilized for therapeutic and growth-promoting purposes in animals. However, the use of SDM can cause residual problems. Even a low concentration of SDM in the aquatic system can exert toxic effects on target organisms and green algae. Therefore, the quantitation of SDM residues has become an important task. Methods: The present work describes the development of a sensitive and selective electrochemical sensor for sulfadimethoxine based on molecularly imprinted poly(o-aminophenol) film. The molecular imprinted polymer film was fabricated by electropolymerizing o-aminophenol in the presence of SDM after depositing carboxylfunctionalized multi-walled carbon nanotubes onto a glassy carbon electrode surface. SDM can be quickly removed by electrochemical methods. The imprinted polymer film was characterized by cyclic voltammetry, differential pulse voltammetry and scanning electron microscopy. Results: Under the selected optimal conditions, the molecularly imprinted sensor shows a linear range from 1.0 × 10-7 to 2.0 × 10-5 mol L-1 for SDM, with a detection limit of 4.0 × 10-8 mol L-1. The sensor was applied to the determination of SDM in aquaculture water samples successfully, with the recoveries ranging from 95% to 106%. Conclusion: The proposed sensor exhibited a high degree of selectivity for SDM in comparison to other structurally similar molecules, along with long-term stability, good reproducibility and excellent regeneration capacity. The sensor may offer a feasible strategy for the analysis of SDM in aquaculture water samples.


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