Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021Imprinted polymer and Cu2O-graphene oxide nanocomposite for the detection of disease biomarkers6citations

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Chart of shared publication
Afzal, Adeel
1 / 4 shared
Mujahid, Adnan
1 / 7 shared
Lieberzeit, Peter
1 / 18 shared
Latif, Usman
1 / 1 shared
Mustafa, Ghulam
1 / 6 shared
Bajwa, Sadia Zafar
1 / 2 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Afzal, Adeel
  • Mujahid, Adnan
  • Lieberzeit, Peter
  • Latif, Usman
  • Mustafa, Ghulam
  • Bajwa, Sadia Zafar
OrganizationsLocationPeople

article

Imprinted polymer and Cu2O-graphene oxide nanocomposite for the detection of disease biomarkers

  • Afzal, Adeel
  • Nasrullah, Amara
  • Mujahid, Adnan
  • Lieberzeit, Peter
  • Latif, Usman
  • Mustafa, Ghulam
  • Bajwa, Sadia Zafar
Abstract

<p>α 1-Acid glycoprotein (α 1-AGp) is a critical plasma protein that acts as a biomarker for different diseases when produced in large amounts (&gt;1.2 mg ml-1). Therefore, selective, label-free, and fast detection of α 1-AGp in human serum is essential. This article presents the development of selective coatings based on molecularly imprinted polymer (MIP) matrix with boronate-affinity and Cu2O-decorated reduced graphene oxide (Cu2O-rGO) nanomaterials. The MIP-Cu2O-rGO hybrid coatings are fabricated on quartz crystal microbalance (QCM) to develop biomimetic α 1-AGp sensors. The MIP:Cu2O-rGO ratio is optimized to enhance sensing properties. Thus-designed MIP-Cu2O-rGO/QCM sensor performs sensitive and specific detection of α 1-AGp in complex mixtures. The initial assessment of the MIP-Cu2O-rGO/QCM sensor reveals an eight-fold increase in the response toward α 1-AGp compared to non-imprinted polymer. The MIP-Cu2O-rGO/QCM sensor exhibits high sensitivity (16.28 Hz ng-1 ml-1) and a low limit of detection (0.25 ng ml-1). When compared with multiple biorelevant analytes such as bovine serum albumin, lysozyme, glucose, fructose, and uric acid, the sensor shows high selectivity due to suitably oriented imprints or interaction sites that are tailored for α 1-AGp recognition. Furthermore, the MIP-Cu2O-rGO/QCM sensor can effectively detect 150-200 ng ml-1 of α 1-AGp in spiked human serum samples with a recovery rate of ∼92%. The results achieved in this study are compared with the relevant literature. The MIP-Cu2O-rGO/QCM sensor can be suitably used for the label-free, precise detection of α 1-AGp in complex mixtures.</p>

Topics
  • nanocomposite
  • impedance spectroscopy
  • polymer