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

Correia, Alexandra Maria Rebelo

  • Google
  • 3
  • 24
  • 204

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2020Multifunctional 3D-printed patches for long-term drug release therapies after myocardial infarction81citations
  • 2020Intracellular co-delivery of melanin-like nanoparticle and budesonide by endosomolytic polymeric materials for anti-inflammatory therapycitations
  • 2017Development and Optimization of Methotrexate-Loaded Lipid-Polymer Hybrid Nanoparticles for Controlled Drug Delivery Applications123citations

Places of action

Chart of shared publication
Ajdary, Rubina
1 / 9 shared
Hirvonen, Jouni Tapio
1 / 7 shared
Kemell, Marianna Leena
1 / 47 shared
Ezazi, Nazanin Zanjanizadeh
1 / 5 shared
Ruskoaho, Heikki
1 / 2 shared
Santos, Hélder A.
3 / 31 shared
Huan, Siqi
1 / 3 shared
Rojas, Orlando J.
1 / 51 shared
Figueiredo, Patricia
1 / 3 shared
Liu, Dongfei
1 / 4 shared
Wang, Shiqi
1 / 5 shared
Li, Jiachen
1 / 3 shared
Hirvonen, Jouni
1 / 10 shared
Li, Wei
1 / 31 shared
Wiwattanapatapee, Ruedeekorn
1 / 2 shared
Xia, Bing
1 / 1 shared
Wannasarit, Saowanee
1 / 2 shared
Kashif, Prince Muhammad
1 / 1 shared
Salonen, Jarno
1 / 13 shared
Rehman, Mubashar
1 / 1 shared
Madni, Asadullah
1 / 2 shared
Tahir, Nayab
1 / 2 shared
Balasubramanian, Vimalkumar
1 / 4 shared
Mäkilä, Ermei
1 / 9 shared
Chart of publication period
2020
2017

Co-Authors (by relevance)

  • Ajdary, Rubina
  • Hirvonen, Jouni Tapio
  • Kemell, Marianna Leena
  • Ezazi, Nazanin Zanjanizadeh
  • Ruskoaho, Heikki
  • Santos, Hélder A.
  • Huan, Siqi
  • Rojas, Orlando J.
  • Figueiredo, Patricia
  • Liu, Dongfei
  • Wang, Shiqi
  • Li, Jiachen
  • Hirvonen, Jouni
  • Li, Wei
  • Wiwattanapatapee, Ruedeekorn
  • Xia, Bing
  • Wannasarit, Saowanee
  • Kashif, Prince Muhammad
  • Salonen, Jarno
  • Rehman, Mubashar
  • Madni, Asadullah
  • Tahir, Nayab
  • Balasubramanian, Vimalkumar
  • Mäkilä, Ermei
OrganizationsLocationPeople

article

Development and Optimization of Methotrexate-Loaded Lipid-Polymer Hybrid Nanoparticles for Controlled Drug Delivery Applications

  • Kashif, Prince Muhammad
  • Salonen, Jarno
  • Rehman, Mubashar
  • Correia, Alexandra Maria Rebelo
  • Madni, Asadullah
  • Tahir, Nayab
  • Balasubramanian, Vimalkumar
  • Santos, Hélder A.
  • Mäkilä, Ermei
Abstract

Lipid-polymer hybrid nanoparticles (LPHNPs) are emerging platforms for drug delivery applications. In the present study, methotrexate loaded LPHNPs consisted of PLGA and Lipoid S100 were fabricated by employing a single-step modified nanoprecipitation method combined with self-assembly. A three factor, three level Box Behnken design using Design-Expert® software was employed to access the influence of three independent variables on the particle size, drug entrapment and percent drug release. The optimized formulation was selected through numeric optimization approach. The results were supported with the ANOVA analysis, regression equations and response surface plots. Transmission electron microscope images indicated the nanosized and spherical shape of the LPHNPs with fair size distribution. The nanoparticles ranged from 176−308 nm, which increased with increased polymer concentration. The increase in polymer and lipid concentration also increased the drug entrapment efficiency. The in vitro drug release was in range 70.34-91.95% and the release mechanism follow the Higuchi model (R2=0.9888) and Fickian diffusion (n<0.5). The in vitro cytotoxicity assay and confocal microscopy of the optimized formulation demonstrate the good safety and betterinternalization of the LPHNPs. The cell antiproliferation showed the spatial and controlled action of the nanoformulation as compared to the plain drug solution. The results suggest that LPHNPs can be a promising delivery system envisioned to safe, stable and potentially controlled delivery of methotrexate to the cancer cells to achieve better therapeutic outcomes.

Topics
  • nanoparticle
  • surface
  • polymer
  • self-assembly
  • confocal microscopy