Development of a MIP-Based QCM Sensor for Selective Detection of Penicillins in Aqueous Media

Pharmaceuticals wastes have been recognized as emerging pollutants to the environment. Among those, antibiotics in the aquatic environment are one of the major sources of concern, as chronic, low-dose exposure can lead to antibiotic resistance. Herein, we report on molecularly imprinted polymers (MI...

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Main Authors: Shahin Haghdoust, Usman Arshad, Adnan Mujahid, Leo Schranzhofer, Peter Alexander Lieberzeit
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Chemosensors
Subjects:
Online Access:https://www.mdpi.com/2227-9040/9/12/362
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author Shahin Haghdoust
Usman Arshad
Adnan Mujahid
Leo Schranzhofer
Peter Alexander Lieberzeit
author_facet Shahin Haghdoust
Usman Arshad
Adnan Mujahid
Leo Schranzhofer
Peter Alexander Lieberzeit
author_sort Shahin Haghdoust
collection DOAJ
description Pharmaceuticals wastes have been recognized as emerging pollutants to the environment. Among those, antibiotics in the aquatic environment are one of the major sources of concern, as chronic, low-dose exposure can lead to antibiotic resistance. Herein, we report on molecularly imprinted polymers (MIP) to recognize penicillin V potassium salt (PenV-K), penicillin G potassium salt (PenG-K), and amoxicillin sodium salt (Amo-Na), which belong to the most widespread group of antibiotics worldwide. Characterization and optimization led to two MIPs comprising methacrylic acid as the monomer and roughly 55% ethylene glycol dimethacrylate as the crosslinker. The obtained layers led to sensitive, selective, repeatable, and reusable sensor responses on quartz crystal microbalances (QCM). The LoD for PenV-K, PenG-K, and Amo-Na sensors are 0.25 mM, 0.30 mM, and 0.28 mM, respectively; imprinting factors reach at least around three. Furthermore, the sensors displayed relative selectivity factors of up to 50% among the three penicillins, which is appreciable given their structural similarity.
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spelling doaj.art-309b19e93b3144be8e33bd44c97872852023-11-23T07:41:38ZengMDPI AGChemosensors2227-90402021-12-0191236210.3390/chemosensors9120362Development of a MIP-Based QCM Sensor for Selective Detection of Penicillins in Aqueous MediaShahin Haghdoust0Usman Arshad1Adnan Mujahid2Leo Schranzhofer3Peter Alexander Lieberzeit4Department of Physical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 42, 1090 Vienna, AustriaInstitute of Chemistry, University of the Punjab, Lahore 54590, PakistanInstitute of Chemistry, University of the Punjab, Lahore 54590, PakistanFunctional Surfaces and Nanostructures, Profactor GmbH, 4407 Steyr-Gleink, AustriaDepartment of Physical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Strasse 42, 1090 Vienna, AustriaPharmaceuticals wastes have been recognized as emerging pollutants to the environment. Among those, antibiotics in the aquatic environment are one of the major sources of concern, as chronic, low-dose exposure can lead to antibiotic resistance. Herein, we report on molecularly imprinted polymers (MIP) to recognize penicillin V potassium salt (PenV-K), penicillin G potassium salt (PenG-K), and amoxicillin sodium salt (Amo-Na), which belong to the most widespread group of antibiotics worldwide. Characterization and optimization led to two MIPs comprising methacrylic acid as the monomer and roughly 55% ethylene glycol dimethacrylate as the crosslinker. The obtained layers led to sensitive, selective, repeatable, and reusable sensor responses on quartz crystal microbalances (QCM). The LoD for PenV-K, PenG-K, and Amo-Na sensors are 0.25 mM, 0.30 mM, and 0.28 mM, respectively; imprinting factors reach at least around three. Furthermore, the sensors displayed relative selectivity factors of up to 50% among the three penicillins, which is appreciable given their structural similarity.https://www.mdpi.com/2227-9040/9/12/362amoxicillin sodiumantibioticmolecularly imprinted polymerspenicillin V potassiumpenicillin G potassiumquartz crystal microbalance
spellingShingle Shahin Haghdoust
Usman Arshad
Adnan Mujahid
Leo Schranzhofer
Peter Alexander Lieberzeit
Development of a MIP-Based QCM Sensor for Selective Detection of Penicillins in Aqueous Media
Chemosensors
amoxicillin sodium
antibiotic
molecularly imprinted polymers
penicillin V potassium
penicillin G potassium
quartz crystal microbalance
title Development of a MIP-Based QCM Sensor for Selective Detection of Penicillins in Aqueous Media
title_full Development of a MIP-Based QCM Sensor for Selective Detection of Penicillins in Aqueous Media
title_fullStr Development of a MIP-Based QCM Sensor for Selective Detection of Penicillins in Aqueous Media
title_full_unstemmed Development of a MIP-Based QCM Sensor for Selective Detection of Penicillins in Aqueous Media
title_short Development of a MIP-Based QCM Sensor for Selective Detection of Penicillins in Aqueous Media
title_sort development of a mip based qcm sensor for selective detection of penicillins in aqueous media
topic amoxicillin sodium
antibiotic
molecularly imprinted polymers
penicillin V potassium
penicillin G potassium
quartz crystal microbalance
url https://www.mdpi.com/2227-9040/9/12/362
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