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

Baum, Andreas

  • Google
  • 4
  • 25
  • 103

Technical University of Denmark

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Sinter-Based Additive Manufacturing of Ni-Ti Shape Memory Alloycitations
  • 2022A new FTIR assay for quantitative measurement of endo-fucoidanase activity15citations
  • 2019Laccase activity measurement by FTIR spectral fingerprinting16citations
  • 2017Prediction of Pectin Yield and Quality by FTIR and Carbohydrate Microarray Analysis72citations

Places of action

Chart of shared publication
Burkhardt, Carlo
1 / 12 shared
Mitteramskogler, Gerald
1 / 2 shared
Rabkin, Eugen
1 / 28 shared
Faran, Eilon
1 / 1 shared
Glass, Boaz
1 / 1 shared
Vogel, Lucas
1 / 1 shared
Addess, Alon
1 / 1 shared
Cohen, Yeshurun
1 / 1 shared
Shilo, Doron
1 / 3 shared
Cao, Hang Thi Thuy
1 / 4 shared
Nguyen, Thuan Thi
1 / 4 shared
Mikkelsen, Maria Dalgaard
1 / 4 shared
Perna, Valentina
2 / 3 shared
Meyer, Anne S.
3 / 13 shared
Vo Thi Dieu, Trang
1 / 1 shared
Van, Tran Thi Thanh
1 / 4 shared
Tran, Vy
1 / 3 shared
Wittrup Agger, Jane
1 / 2 shared
Ernst, Heidi A.
1 / 1 shared
Willats, William G. T.
1 / 1 shared
Søndergaard, Karen M.
1 / 1 shared
Hansen, Per W.
1 / 1 shared
Dominiak, Malgorzata Maria
1 / 1 shared
Mikkelsen, Jørn Dalgaard
1 / 1 shared
Vidal-Melgosa, Silvia
1 / 1 shared
Chart of publication period
2024
2022
2019
2017

Co-Authors (by relevance)

  • Burkhardt, Carlo
  • Mitteramskogler, Gerald
  • Rabkin, Eugen
  • Faran, Eilon
  • Glass, Boaz
  • Vogel, Lucas
  • Addess, Alon
  • Cohen, Yeshurun
  • Shilo, Doron
  • Cao, Hang Thi Thuy
  • Nguyen, Thuan Thi
  • Mikkelsen, Maria Dalgaard
  • Perna, Valentina
  • Meyer, Anne S.
  • Vo Thi Dieu, Trang
  • Van, Tran Thi Thanh
  • Tran, Vy
  • Wittrup Agger, Jane
  • Ernst, Heidi A.
  • Willats, William G. T.
  • Søndergaard, Karen M.
  • Hansen, Per W.
  • Dominiak, Malgorzata Maria
  • Mikkelsen, Jørn Dalgaard
  • Vidal-Melgosa, Silvia
OrganizationsLocationPeople

article

Laccase activity measurement by FTIR spectral fingerprinting

  • Wittrup Agger, Jane
  • Perna, Valentina
  • Meyer, Anne S.
  • Ernst, Heidi A.
  • Baum, Andreas
Abstract

Laccases (EC 1.10.3.2) are enzymes known for their ability to catalyze the oxidation of phenolic compounds using molecular oxygen as the final electron acceptor. Laccase activity is commonly determined by monitoring spectrophotometric changes (absorbance) of the product or substrate during the enzymatic reaction. Fourier Transform Infrared Spectroscopy (FTIR) is a fast and versatile technique where spectral evolution profiling, i.e. assessment of the spectral changes of both substrate and products during enzymatic conversion in real time, can be used to assess enzymatic activity when combined with multivariate data analysis. We employed FTIR to monitor enzymatic oxidation of monolignols (sinapyl, coniferyl and p-coumaryl alcohol), sinapic acid, and sinapic aldehyde by four different laccases: three fungal laccases from Trametes versicolor, Trametes villosa and Ganoderma lucidum, respectively, and one bacterial laccase from Meiothermus ruber. By coupling the FTIR measurements with Parallel Factor Analysis (PARAFAC) we established a quantitative assay for assessing laccase activity. By combining PARAFAC modelling with Principal Component Analysis we show the usefulness of this technology as a multivariate tool able to compare and distinguish different laccase reaction patterns. We also demonstrate how the FTIR approach can be used to create a reference system for laccase activity comparison based on a relatively low number of measurements. Such a reference system has potential to function as a high-throughput method for comparing reaction pattern similarities and differences between laccases and hereby identify new and interesting enzyme candidates in large sampling pools.

Topics
  • impedance spectroscopy
  • compound
  • Oxygen
  • Fourier transform infrared spectroscopy
  • alcohol
  • aldehyde