| 1. |
- Rouf, Polla, 1993-, et al.
(författare)
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Epitaxial GaN using Ga(NMe2)3 and NH3 plasma by Atomic Layer Deposition
- 2020
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Ingår i: Journal of Materials Chemistry C. - : Royal Society of Chemistry. - 2050-7526 .- 2050-7534. ; 8:25, s. 8457-8465
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Tidskriftsartikel (refereegranskat)abstract
- Low temperature deposition of high-quality epitaxial GaN is crucial for its integration in electronic applications. Chemical vapor deposition at approximately 800 °C using SiC with an AlN buffer layer or nitridized sapphire as substrate is used to facilitate the GaN growth. Here, we present a low temperature atomic layer deposition (ALD) process using tris(dimethylamido)gallium(III) with NH3 plasma. The ALD process shows self-limiting behaviour between 130–250 °C with a growth rate of 1.4 Å per cycle. The GaN films produced were crystalline on Si (100) at all deposition temperatures with a near stochiometric Ga/N ratio with low carbon and oxygen impurities. When GaN was deposited on 4H-SiC, the films grew epitaxially without the need for an AlN buffer layer, which has never been reported before. The bandgap of the GaN films was measured to be ∼3.42 eV and the Fermi level showed that the GaN was unintentionally n-type doped. This study shows the potential of ALD for GaN-based electronic devices.
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| 2. |
- Eskilson, Olof, 1992-
(författare)
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Multifunctional Nanocellulose Composite Materials
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Nanoparticles (NPs) are particles with more than one dimension between 1 and 100 nm. Because of their small size, they typically display different physical and chemical properties than the corresponding bulk materials. NPs have been used in many different applications, such as in electronics, optics, catalysis, and in biomedicine. Due to their colloidal nature, NPs are often immobilized on a solid substrate, such as glass or polymer-based materials, including biopolymers. Nanocellulose is a biopolymerbased nanomaterial that can be obtained from plants or bacterial biofilms. They can be processed into thin and highly hydrated films with high mechanical strength and can serve as a versatile substrate for NPs. Bacterial cellulose (BC) is also an interesting material for generating wound dressings. The combination of NPs and BC results in soft and flexible nanocomposites (BC-NPs) that can demonstrate novel properties and improve the functionality of wound dressings. BC-NP nanocomposites have previously been obtained by impregnating BC with the reactants needed for synthesis of the NPs and allowing the reaction to proceed in situ, inside and on the surface of the BC. This strategy limits the possibilities to control NP geometry and NP concentration and make synthesis of nanocomposites with more sophisticated compositions very challenging. In addition, the synthesis conditions used can potentially have negative effects on the properties of BC. The work presented in this thesis shows the possibility to produce well-defined, tunable BC-NP nanocomposites using self-assembly under very benign conditions that enable functionalization of BC with a wide range of different types of NPs. In addition to exploring the self-assembly process and the physical properties of these new BC-NP composites, several different applications were investigated. The functionalization of BC with gold nanoparticles (AuNPs) of different sizes and geometries was demonstrated. The resulting materials were used for development of a new sensor transduction technology, exploiting the optical response upon mechanical compression to detect biomolecules. BC-AuNP nanocomposites were also developed for monitoring of protease activity of wound pathogens, for catalysis, and for fabrication of ultra-black materials with unique absorption and scattering profiles of light in the visible and near infrared spectral range. In addition, the self-assembly process could be adopted for generating BC-mesoporous silica nanoparticles (MSNs) nanocomposite wound dressings. The resulting high surface area materials could be used as carriers for pH sensitive dyes. The pH-responsive BC-MSNs demonstrated adequate biocompatibility and allowed for monitoring of wound pH and for assessment of wound status. The strategies for functionalization of BC with inorganic NPs that was developed and explored in this thesis are highly versatile and allow for fabrication of a wide range of multifunctional nanocomposite materials.
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| 3. |
- Eskilson, Olof, 1992-, et al.
(författare)
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Self-Assembly of Mechanoplasmonic Bacterial Cellulose-Metal Nanoparticle Composites
- 2020
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Ingår i: Advanced Functional Materials. - : Wiley-VCH Verlagsgesellschaft. - 1616-301X .- 1616-3028. ; 30:40
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Tidskriftsartikel (refereegranskat)abstract
- Nanocomposites of metal nanoparticles (NPs) and bacterial nanocellulose (BC) enable fabrication of soft and biocompatible materials for optical, catalytic, electronic, and biomedical applications. Current BC-NP nanocomposites are typically prepared by in situ synthesis of the NPs or electrostatic adsorption of surface functionalized NPs, which limits possibilities to control and tune NP size, shape, concentration, and surface chemistry and influences the properties and performance of the materials. Here a self-assembly strategy is described for fabrication of complex and well-defined BC-NP composites using colloidal gold and silver NPs of different sizes, shapes, and concentrations. The self-assembly process results in nanocomposites with distinct biophysical and optical properties. In addition to antibacterial materials and materials with excellent senor performance, materials with unique mechanoplasmonic properties are developed. The homogenous incorporation of plasmonic gold NPs in the BC enables extensive modulation of the optical properties by mechanical stimuli. Compression gives rise to near-field coupling between adsorbed NPs, resulting in tunable spectral variations and enhanced broadband absorption that amplify both nonlinear optical and thermoplasmonic effects and enables novel biosensing strategies.
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| 4. |
- Martinsson, Erik, 1983-
(författare)
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Nanoplasmonic Sensing using Metal Nanoparticles
- 2014
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- In our modern society, we are surrounded by numerous sensors, constantly feeding us information about our physical environment. From small, wearable sensors that monitor our physiological status to large satellites orbiting around the earth, detecting global changes. Although, the performance of these sensors have been significantly improved during the last decades there is still a demand for faster and more reliable sensing systems with improved sensitivity and selectivity. The rapid progress in nanofabrication techniques has made a profound impact for the development of small, novel sensors that enables miniaturization and integration. A specific area where nanostructures are especially attractive is biochemical sensing, where the exceptional properties of nanomaterials can be utilized in order to detect and analyze biomolecular interactions. The focus of this thesis is to investigate plasmonic nanoparticles composed of gold or silver and optimize their performance as signal transducers in optical biosensors. Metal nanoparticles exhibit unique optical properties due to excitation of localized surface plasmons, which makes them highly sensitive probes for detecting small, local changes in their surrounding environment, for instance the binding of a biomolecule to the nanoparticle surface. This is the basic principle behind nanoplasmonic sensing based on refractometric detection, a sensing scheme that offers real-time and label-free detection of molecular interactions. This thesis shows that the sensitivity for detecting local refractive index changes is highly dependent on the geometry of the metal nanoparticles, their interaction with neighboring particles and their chemical composition and functionalization. An increased knowledge about how these parameters affects the sensitivity is essential when developing nanoplasmonic sensing devices with high performance based on metal nanoparticles.
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| 5. |
- Sultanian, Pedram, et al.
(författare)
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Prediction of survival in out-of-hospital cardiac arrest: the updated Swedish cardiac arrest risk score (SCARS) model
- 2024
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Ingår i: EUROPEAN HEART JOURNAL - DIGITAL HEALTH. - 2634-3916.
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Tidskriftsartikel (refereegranskat)abstract
- Aims Out-of-hospital cardiac arrest (OHCA) is a major health concern worldwide. Although one-third of all patients achieve a return of spontaneous circulation and may undergo a difficult period in the intensive care unit, only 1 in 10 survive. This study aims to improve our previously developed machine learning model for early prognostication of survival in OHCA.Methods and results We studied all cases registered in the Swedish Cardiopulmonary Resuscitation Registry during 2010 and 2020 (n = 55 615). We compared the predictive performance of extreme gradient boosting (XGB), light gradient boosting machine (LightGBM), logistic regression, CatBoost, random forest, and TabNet. For each framework, we developed models that optimized (i) a weighted F1 score to penalize models that yielded more false negatives and (ii) a precision-recall area under the curve (PR AUC). LightGBM assigned higher importance values to a larger set of variables, while XGB made predictions using fewer predictors. The area under the curve receiver operating characteristic (AUC ROC) scores for LightGBM were 0.958 (optimized for weighted F1) and 0.961 (optimized for a PR AUC), while for XGB, the scores were 0.958 and 0.960, respectively. The calibration plots showed a subtle underestimation of survival for LightGBM, contrasting with a mild overestimation for XGB models. In the crucial range of 0-10% likelihood of survival, the XGB model, optimized with the PR AUC, emerged as a clinically safe model.Conclusion We improved our previous prediction model by creating a parsimonious model with an AUC ROC at 0.96, with excellent calibration and no apparent risk of underestimating survival in the critical probability range (0-10%). The model is available at www.gocares.se.
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