Helmholtz Institute Freiberg for Resource Technology
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Exploring Morphology of Thermoplasmonic Nanoparticles to Synergize Immunotherapeutic FAP-positive Cells Sensitization and Photothermal Therapy
No full textThe precision of photothermal therapy (PTT) is often hindered by the challenge of achieving selective delivery of thermoplasmonic nanostructures to tumors. Key enabler for the specific delivery is so-called active targeting, leveraging synthetic molecular complexes to address receptors overexpressed by malignant cells. The latter one enables combination of the PTT with other anticancer therapy. In this study, we developed thermoplasmonic nanoconjugates designed to selectively sensitize malignant cells to PTT. These nanoconjugates consist of (i) 20 nm spherical gold nanoparticles (AuNPs) or gold nanostars (AuNSs) as nanocarriers, and facilitate heat-generation upon optical irradiation, and (ii) surface-passivated antibody-based FAP targeting modules (anti-FAP TMs), used in adaptive CAR T-cells immunotherapy. The nanoconjugates demonstrated excellent stability and specific binding to FAP-expressing fibrosarcoma HT1080 (hFAP) cells, as confirmed by immunofluorescence and label-free surface plasmon resonance scattering imaging. Moreover, the nanocarriers showed significant photothermal conversion after visible and near-infrared (NIR) irradiation. Quantitative thermal lens spectroscopy (TLS) demonstrated the superior photothermal capability of AuNSs, achieving up to 1.5-fold greater thermal enhancement than AuNPs under identical conditions. This synergistic approach, combining targeted immunotherapy with the thermoplasmonic properties of the nanocarriers not only streamline nanoparticle delivery, increasing photothermal yield and therapeutic efficacy, but also offers a more comprehensive and potent strategy for cancer treatment with the potential for superior outcomes across multiple modalities
Röntgenbilddaten_KIT_FB_DN100_Teil1
No full textHDF5-Container enthalten die rekonstruierten Schnittbilder als Stack zu 2x10000 Bilder mit 256x256px.
Wechselseitig Bildebene 1 und 2 ("deinterleave"-Funktion verwenden)
Data publication: An ionic ultramicroporous polymer with engineered nanopores enables enhanced acetylene/carbon dioxide separation
No full textA nanopore engineering approach enhances acetylene (C2H2) over carbon dioxide (CO2) selectivity in ionic ultramicroporous polymers (IUPs), an understudied class of sorbents. Extending the cationic arm of a prototypical IUP nearly doubles its C2H2/CO2 selectivity from 4.9 to 8.5 (at 298 K, 1 bar), underpinned by further observations from dynamic separation experiments and bespoke computational insights
Flow field tomography of reactive transport: comparison of β⁺ tracers ¹⁸F, ⁷⁶Br & ¹²⁴I - data publication
No full textData on two tomographic studies on Berea sandstone as supplemental information of the publication "Flow field tomography of reactive transport: comparison of β⁺ tracers ¹⁸F, ⁷⁶Br & ¹²⁴I" by Jann Schöngart, Johannes Kulenkampff, and Cornelius Fischer.
Part of the data published here was used for prior works by Schabernack et al. (2025). Therefore, the the presented dataset has overlap withthe dataset published in Kulenkampff et al. (2024). This overlap is limited to the µCT data, and the PET data for analysis D_B and D_C.
The data in this publication consists of:
µCT data
Core_D_after_dissolution_2496x2496x1615.raw: µCT of the inlet section of berea sandstone core D before dissolution as normalized graylevel data, voxel size = 10.032 µm. Format: 3D-array of uInt16, x=1:2496, y=1:2496, z=1:1615.
Core_D_before_dissolution_2307x2329x1452_uint16.raw: µCT of the inlet section of berea sandstone core D after dissolution as normalized graylevel data, voxel size = 10.032 µm. Format: 3D-array of uInt16, x=1:2307, y=1:2329, z=1:1452.
Positron emission tomography data
All PET data is stored as three-dimensional binary arrays of floats, with a voxel size of 1.15 mm.
Stored in [subset]_PET_raw.zip:
Uncalibrated positron emission tomography time series (decay corrected). Each image consists of two files - a header file (.hv) and the binary image file (.v). The header file contains information on how to read the binary file, as well as additional information.
Please note that not all of the metadata given in the header file (like timestamps, etc.) are generated automatically and not neccessarily accurate.
Stored in [subset]_PET_err.zip:
Relative errors of the PET_raw data, calculated from count rates using poisson statistics. A value of 1 equals 100% error. The volumes are cut to the ROI. The data structure is identical to [samplename]_PET_raw.zip.
Stored in [subset]_PET_corrected.zip:
Positron emission tomography time series, corrected for tracer activity and detector sensitivity fluctuations. Values are in in Bq/voxel. Voxels with relative errors above 100% are discarded. The volumes are cut to the ROI. The data structure is identical to [samplename]_PET_raw.zip.
Flow field data
stored in [subset]_flowfield.zip:
Flow Direction_[X]x[Y]x[Z]x1_vec3_double.raw: Flow direction vectors as binary data of the shape [x,y,z,[3]], a three dimensional array of vectors which are stored as double (float64), voxel size = 1.15 mm.
Flow Rate_[X]x[Y]x[Z]x1_double.raw: Flow rates (uncalibrated) as binary data of the shape [x,y,z], a three dimensional array of doubles (float64), voxel size = 1.15 mm.
Porosity_[X]x[Y]x[Z]x1_double.raw: Porosities (uncalibrated) as binary data of the shape [x,y,z], a three dimensional array of doubles (float64), voxel size = 1.15 mm.
Transport Error_[X]x[Y]x[Z]x1_double.raw: A measure of error quantifying the ratio of computed in- and outflow to each voxel. Values close to 0 are better. Stored as binary data of the shape [x,y,z], a three dimensional array of doubles (float64), voxel size = 1.15 mm.
Velocity_[X]x[Y]x[Z]x1_double.raw: Velocities (uncalibrated) as binary data of the shape [x,y,z], a three dimensional array of doubles (float64), voxel size = 1.15 mm.The project received funding from the BMBF, grant numbers 03G0900A and 02NUK066A
Data publication: Electrical detection of magnons with nanoscale magnetic tunnel junctions
No full textThis data publication contains the data for our publication "Electrical detection of magnons with nanoscale magnetic tunnel junctions".
Each folder contains the data for the corresponding figure.
Figure 1: The simulated dipolar fields are provided, with the x and y axes stored in separate files. The 2D map contains the field values bz
in Tesla, and the axes are in meters. Additionally, this directory contains resistance data measured as a function of an out-of-plane magnetic field.
Figure 2: Each subdirectory contains the data shown in the respective panel. For details on the excitation schemes, see the main manuscript.
Figure 3: Contains the simulation data shown, with a description of each in the respective file header
Research Data publication: Neutron Transmission Measurements at nELBE, EPJ Web of Conf 239 (2020) 01006
No full textThese data sets contain the measured neutron transmission data from nat-He, nat-O, nat-Ne, nat-Xe, nat-Pt and 238-U (as depleted uranium) that were measured at the nELBE time-of-flight facility of HZDR. These data were published in the paper EPJ Web of Conferences 239, 01006 (2020) (Conference proceedings of the Int. Conf. on Nuclear Data for Science and Technology, 2019, Beijing). The transmission of nat-C, which was measured at the same time as nat-Ne is also included here. It was also reported in the master thesis (in german) of Erik Borris, 04.11.2019, Institut für Angewandte Physik, Goethe Universität Frankfurt am Main. The data are also available from EXFOR library with accession number 23755.We thank the ELBE accelerator crew for providing stable beam operation as well as Andreas Hartmann and
Maik Görler for excellent continuing technical support.
This work was supported by the German Federal Ministry for Education and Science (TRAKULA project, contract number 02NUK13A) and by the European Commission within the Seventh Framework Programme through
Fission-2013-CHANDA (project number 605203)
Data publication: Orientational Effects in the Low Pair Continuum of Aluminium
No full textSimulation data from publication Orientational Effects in the Low Pair Continuum of Aluminiu
Dataset for Machine Learning Time Propagators for Time-Dependent Density Functional Theory Simulations
No full textThis repository contains the dataset supporting the paper "Machine Learning Time Propagators for Time-Dependent Density Functional Theory Simulations" by Karan Shah and Attila Cangi. It comprises time-dependent density functional theory (TDDFT) simulations of one-dimensional diatomic molecules under laser excitation. The data is used to train and evaluate autoregressive Fourier Neural Operator (FNO) models that serve as ML time propagators for electron density evolution
Data publication: Non-equilibrium phase regime and magnetic properties of co-evaporated Fe-V thin-films
No full textRaw data of the publication: Non-equilibrium phase regime and magnetic properties of co-evaporated Fe-V thin-films, published in the Journal of alloys and compounds (DOI: 10.1016/j.jallcom.2025.183282 )
Data publication: Evaluation of biosurfactant-based ion flotation process for metal separation and recovery from battery recycling process waters
No full textThe process waters generated during the recycling of spent batteries are an important source of various metals such as Al, Li, Mn, Ni, and Co. Despite low metal concentrations, this stream is a promising secondary source of these critical metals. In this work, the recovery of metal ions from battery recycling process waters by the bioionflotation process was investigated with rhamnolipid as a flotation reagent. In this context, the metal binding affinity of rhamnolipid was investigated by means of surface tension analysis, isothermal titration calorimetry (ITC), and zeta potential analysis. The values obtained for the dynamic surface tension analysis and the binding constant from ITC are relatable and considered in relation to the metal binding affinity of rhamnolipids, demonstrating the affinity order is as Al(III) > Mn(II) > Ni(II) > Co(II) >Li(I). Our findings reveal a rhamnolipid metal interaction and support a surface tension-based approach to predict the metal affinity, thus providing important fundamental information. The bioionflotation results showed an effective recovery of 91% for Al(III) at pH 8 and 0.85 mM rhamnolipid concentration. Hence, the bioionflotation approach offers an eco-friendly way to selectively recover metals from battery process water, contributing to sustainable resource management and reducing environmental impact