Literature DB >> 28060413

Molecularly Imprinted Polymer Chemosensor for Selective Determination of an N-Nitroso-l-proline Food Toxin.

Patrycja Lach1, Piyush Sindhu Sharma1, Karolina Golebiewska1, Maciej Cieplak1, Francis D'Souza2, Wlodzimierz Kutner1,3.   

Abstract

A molecularly imprinted polymer (MIP)-based chemosensor for the selective determination of a chosen toxin, N-nitroso-l-proline (Pro-NO), was devised and fabricated. By means of DFT, the structure of the pre-polymerization (functional monomer)-template complex was modeled. This complex was then potentiodynamically electropolymerized in the presence of cross-linking monomer to form a MIP-Pro-NO thin film. Next, the Pro-NO template was extracted from MIP-Pro-NO with 0.1 m NaOH. Piezoelectric microgravimetry (PM) on an electrochemical quartz crystal microbalance and electrochemical (differential pulse voltammetry (DPV) and electrochemical impedance spectroscopy (EIS)) techniques were used to transduce binding of Pro-NO to molecular cavities of the MIP-Pro-NO. With DPV and EIS chemosensing, the limits of detection (LODs) were about 80.9 and 36.9 nM Pro-NO, respectively; and the selectivity coefficients for urea, glucose, creatinine, and adrenalin interferences were 6.6, 13.2, 2.1, and 2.0, respectively, with DPV as well as 2.3, 2.0, 3.3, and 2.5, respectively, with EIS. With PM under flow injection analysis conditions, the LOD was 10 μm Pro-NO. The MIP-Pro-NO chemosensor detectability and selectivity with respect to interferences were sufficiently high to determine Pro-NO in protein-providing food products.
© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  analytical methods; chemical sensors; food toxins; imprinted; polymers

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Year:  2017        PMID: 28060413     DOI: 10.1002/chem.201604799

Source DB:  PubMed          Journal:  Chemistry        ISSN: 0947-6539            Impact factor:   5.236


  2 in total

1.  Reproducible Molecularly Imprinted Piezoelectric Sensor for Accurate and Sensitive Detection of Ractopamine in Swine and Feed Products.

Authors:  Mingfei Pan; Rui Li; Leling Xu; Jingying Yang; Xiaoyuan Cui; Shuo Wang
Journal:  Sensors (Basel)       Date:  2018-06-07       Impact factor: 3.576

Review 2.  Electrochemically Deposited Molecularly Imprinted Polymer-Based Sensors.

Authors:  Simonas Ramanavičius; Inga Morkvėnaitė-Vilkončienė; Urtė Samukaitė-Bubnienė; Vilma Ratautaitė; Ieva Plikusienė; Roman Viter; Arūnas Ramanavičius
Journal:  Sensors (Basel)       Date:  2022-02-08       Impact factor: 3.576

  2 in total

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