Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

Materials Map under construction

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Kruger, Marlena

  • Google
  • 4
  • 6
  • 56

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2018Molecularly imprinted polymer-based electrochemical biosensor for bone loss detection50citations
  • 2017A novel electrochemical biosensor for bone turnover detection based on molecular imprinting technologycitations
  • 2016Development of molecular imprinted polymer interdigital sensor for C-terminal telopeptide of type I collagen5citations
  • 2015Development of a sensing system to detect C-telopeptide of type-I collagen1citations

Places of action

Chart of shared publication
Alahi, Md. Eshrat E.
1 / 4 shared
Alahi, M. E. E.
1 / 1 shared
Yu, Pak Lam
1 / 4 shared
Zia, Asif I.
1 / 9 shared
Yu, P. L.
1 / 8 shared
Kosel, Jurgen
1 / 6 shared
Chart of publication period
2018
2017
2016
2015

Co-Authors (by relevance)

  • Alahi, Md. Eshrat E.
  • Alahi, M. E. E.
  • Yu, Pak Lam
  • Zia, Asif I.
  • Yu, P. L.
  • Kosel, Jurgen
OrganizationsLocationPeople

document

A novel electrochemical biosensor for bone turnover detection based on molecular imprinting technology

  • Alahi, Md. Eshrat E.
  • Kruger, Marlena
Abstract

<p>This research reports a novel label-free sensing method for the measurement of C-telopeptide of Type-I collagen (CTX-1) in order to monitor bone turnover at an early stage. An interdigital sensor jointly with Electrochemical Impedance Spectroscopy (EIS) was used to study the resistive and capacitive properties of samples. Molecular Imprinted Polymers (MIPs) containing recognition sites for CTX-1 molecules were synthesized. The sensor was coated with the prepared MIPs to increase the sensitivity of the sensor to CTX-1. Different known concentration samples were tested and the sensitivity curve was plotted. The Nyquist fitted Curve and its equivalent Randle's circuit was estimated using a complex non-linear least square method (CNLS). The initial results are promising for further development of an inexpensive and portable device for early detection of bone turnover, so therapy can be started earlier.</p>

Topics
  • polymer
  • electrochemical-induced impedance spectroscopy