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Molecularly imprinted polymers as a recognition element for pesticide detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F20%3A43919623" target="_blank" >RIV/62156489:43210/20:43919623 - isvavai.cz</a>

  • Result on the web

    <a href="https://mnet.mendelu.cz/mendelnet2020/mnet_2020_full.pdf" target="_blank" >https://mnet.mendelu.cz/mendelnet2020/mnet_2020_full.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Molecularly imprinted polymers as a recognition element for pesticide detection

  • Original language description

    The molecular imprinting technique is very popular due to the high selectivity, chemical stability, mechanical strength, and the formation of specific binding sites. In this work, we focus on the detection of cypermethrin using an innovative fluorescence method (UV-fingerprinting) after analyte elution from molecularly imprinted polymers (MIPs) in real pesticide sample with the trade name Bandit 40 WP. MIPs were prepared from dopamine. All steps (washing, binding kinetics, analyte elution, and fluorescence detection) necessary for isolation and quantification of cypermethrin were optimized. The results clearly showed that MIPs and UV-fingerprinting are a promising method for pesticides monitoring in real sample of Bandit 40 WP. The detection limit (LOD) of 780 ng/ml was calculated with the coefficient of determination R2 = 0.99.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    MendelNet 2020: Proceedings of International PhD Students Conference

  • ISBN

    978-80-7509-765-1

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    584-588

  • Publisher name

    Mendelova univerzita v Brně

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Nov 11, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article