@phdthesis{Miesler2021,
  author    = {Miesler, Tobias Hans-Herbert},
  title     = {Development of diagnostic systems targeting the human tongue as a 24/7 available detector},
  doi       = {10.25972/OPUS-21449},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-214490},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {To diagnose diseases correctly requires not only trained and skilled personnel, but also cost-intensive and complex equipment. Rapid tests can help with the initial evaluation, but result generation can also take up to several hours, depending on the test system. At this point, novel bioresponsive diagnostic systems are used, responding to the disease related shift of biological processes. They monitor changes in the biological environment and can react to them e.g. with the release of substances. This can be used in drug delivery formulations but can also help to diagnose diseases occurring in the oral cavity and inform patients of their state of health. The tongue is herein used as a 24/7 available detector. In section I of this work, the foundation for the development of these diagnostic systems was laid. A suitable flavoring agent was found, which is stable, can be coupled to the N-terminus of peptides and has a strongly conceivable taste. For the optimization of the protease-sensitive linker (PSL), an analytical system was established (PICS assay), which determines protease-specific cleavable amino acid sequences. In order to replace the PMMA particles previously required, an acetyl protecting group was introduced N-terminally as it protects peptides and proteins in the human body from degradation by human aminopeptidase. The new synthesized flavor was examined with a NIH cell line for cytotoxicity and with an electronic tongue setup for its bitterness. Section II deals with the structure of a system which detects severe inflammations in the oral cavity, e.g. PA. The established PICS assay was used to confirm the previously used PSL sequence in its application. Using solid phase peptide synthesis, 3 linkers were synthesized which respond to the elevated MMP concentrations present in inflammation. The resulting peptides were acetylated and coupled with HATU/DIPEA to the modified denatonium. Cutting experiments with MMPs over different concentration and time ranges confirmed the response of the diagnostic sensor to these enzymes. The obtained construct was examined for cell toxicity by WST assay. The masked bitterness of the sensors was confirmed by an electronic tongue setup. To address non-human proteases (and thereby infections), section III focuses on the establishment of detection system of a cysteine protease SpeB expressed by Streptococcus pyogenes. The in-house expression of SpeB using E. coli cells was established for this purpose. An analysis of the SpeB cleavage sites was performed using a PICS assay setup. Four constructs with different PSL were synthesized analogous to section II. Cleavage experiments with the expressed and purified SpeB showed a response of two constructs to the protease. In addition, a system was established to quantify the concentration of SpeB in human saliva using western blot technique with subsequent quantification. In section IV a compound was synthesized which can now be coupled to a flavor. The final coupled construct is able to detect present NA activity specifically from influenza A and B. The market for existing influenza diagnostics was explored to determine the need for such a system. A neuraminic acid was modified in positions 4 and 7 and protected in such a way that subsequent coupling via the hydroxy-group in position 2 was selectively possible. In summary, this results in a diagnostic platform that can be used anywhere, by anyone and at any time. This represents a new dimension in the rapid diagnosis of inflammations and bacterial or viral infections.},
  subject      = {Diagnostik},
  language  = {en}
}
@phdthesis{SalinasSegura2016,
  author    = {Salinas Segura, Alexander},
  title     = {The Internet of Things: Business Applications, Technology Acceptance, and Future Prospects},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131605},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2016},
  abstract  = {This dissertation explores the Internet of Things from three different perspectives for which three individual studies were conducted. The first study presents a business application within supply chain management. The second study addresses user acceptance of pervasive information systems, while the third study covers future prospects of the Internet of Things. The first study is about wireless sensor technologies and their possibilities for optimizing product quality in the cold chain. The processing of sensor data such as temperature information allows for the construction of novel issuing policies in distribution centers. The objective of the study was to investigate the possible economic potential of sensor-based issuing policies in a cold chain. By means of simulation, we analyzed a three-echelon supply chain model, including a manufacturer, a distribution center, and a retail store. Our analysis shows that sensor-based issuing policies bear the potential to become an effective complement to conventional issuing policies. However, the results also indicate that important trade-offs must be taken into account in the selection of a specific issuing policy. The second study deals with the increasing emergence of pervasive information systems and user acceptance. Based on the integration of the extended "Unified Theory of Acceptance and Use of Technology" (UTAUT2) and three pervasiveness constructs, we derived a comprehensive research model to account for pervasive information systems. Data collected from 346 participants in an online survey was analyzed to test the developed research model using structural equation modeling and taking into account multi-group and mediation analysis. The results confirm the applicability of the integrated UTAUT2 model to measure pervasiveness. The third study addresses future prospects of the Internet of Things within the retail industry. We employed a research framework to explore the macro- as well as microeconomic perspective. First, we developed future projections for the retail industry containing IoT aspects. Second, a two-round Delphi study with an expert panel of 15 participants was conducted to evaluate the projections. Third, we used scenario development to create scenarios of the most relevant projections evaluated by the participants.},
  subject      = {Internet der Dinge},
  language  = {en}
}