Organization profile

Organisation profile

IDUN is a center of excellence funded by the Danish National Research Foundation and the Villum Foundation. The center is devided into two parts: IDUN Drug and IDUN Sensor, focussing on the main research areas of drug delivery and nanomechanical sensors.

With the two main research areas in close contact at the center, IDUN will be exploring the great synergy between sensor development and search for new pharmaceutical tools and materials. IDUN Sensor will, through IDUN Drug, get access to unique polymers and biomolecules. Through IDUN Sensor, IDUN Drug will be able to characterize, among others, small volumes of materials and molecules, which are today not possible to analyze by any standard technologies. By maintaining and strengthening the coupling between sensor and material development, IDUN create a unique international environment with high creativity across scientific borders.

Center Leader: Professor Anja Boisen

Scientific Coordinator: Anna Julie Rasmussen

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Profiles

Zarmeena Abid

zarab@dtu.dk

Person: VIP

Kristoffer Almdal

kral@dtu.dk

Person: VIP

Tommy Sonne Alstrøm

tsal@dtu.dk

Person: VIP

Research Output 2015 2020

Development of an automated flow-based spectrophotometric immunoassay for continuous detection of zearalenone

Jantra, J., Zor, K., Sanders, M., De Saeger, S., Hedström, M. & Mattiasson, B., 2020, (Accepted/In press) In : Biotechnology and Applied Biochemistry. 9 p.

Research output: Contribution to journal › Journal article › Research › peer-review

21 Downloads (Pure)

Present and Future of Surface-Enhanced Raman Scattering

Langer, J., Jimenez De Aberasturi, D., Aizpurua, J., Alvarez-Puebla, R. A., Auguié, B., Baumberg, J. J., Bazan, G. C., Bell, S. E. J., Boisen, A., Brolo, A. G., Choo, J., Cialla-May, D., Deckert, V., Fabris, L., Faulds, K., García De Abajo, F. J., Goodacre, R., Graham, D., Haes, A. J., Haynes, C. L. & 39 others, Huck, C., Itoh, T., Käll, M., Kneipp, J., Kotov, N. A., Kuang, H., Le Ru, E. C., Lee, H. K., Li, J. F., Ling, X. Y., Maier, S. A., Mayerhöfer, T., Moskovits, M., Murakoshi, K., Nam, J. M., Nie, S., Ozaki, Y., Pastoriza-Santos, I., Perez-Juste, J., Popp, J., Pucci, A., Reich, S., Ren, B., Schatz, G. C., Shegai, T., Schlücker, S., Tay, L. L., Thomas, K. G., Tian, Z. Q., Van Duyne, R. P., Vo-Dinh, T., Wang, Y., Willets, K. A., Xu, C., Xu, H., Xu, Y., Yamamoto, Y. S., Zhao, B. & Liz-Marzán, L. M., 2020, (Accepted/In press) In : ACS Nano. 90 p.

Research output: Contribution to journal › Review › Research › peer-review

Open Access

File

13 Downloads (Pure)

A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators

Vording, M. F., Okeyo, P. O., Rubio Guillamón, J. J., Schmidt, M. N., Larsen, P. E. & Alstrøm, T. S., 2019, (Accepted/In press) Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Open Access

File