Anwenderhandbuch - PLA-Schalen mit verbesserten Barriereeigenschaften für den Einsatz in MAP-Verpackungskonzepten für sensible Lebensmittel

Dieses Anwenderhandbuch ist im Rahmen des Forschungsprojektes PLA4MAP (Förderkennzeichen: 2219NR448), gefördert durch: Bundesministerium für Ernährung und Landwirtschaft aufgrund eines Beschlusses des Deutschen Bundestages (Projektträger Fachagentur Nachwachsende Rohstoffe e.V.), entstanden. In diesem Anwenderhandbuch sind Ergebnisse aus dem Forschungsprojekt PLA4MAP enthalten und komprimiert aufbereitet. Zweck dieses Anwenderhandbuches ist es, die Herstellung, Materialien, Eigenschaften und Anwendungsmöglichkeiten der entwickelten biobasierten Mehrschichtverbundverpackung verständlich darzustellen. Das Anwenderhandbuch enthält Ergebnisse von Lagertests von zwei Haupt-Anwendungsszenarien. Zum einen frisches Fleisch (Putengeschnetzeltes) und zum anderen von getrockneter Rohwurst (Chorizo Salami). Mit diesem Anwenderhandbuch sollen Interessierte die Möglichkeit erhalten sich über die entwickelte biobasierte Mehrschichtverbundverpackung, welche für den Einsatz als Verpackung von sensiblen Lebensmitteln geeignet ist, informieren zu können. Anhand farblich markierter Hinweise werden Tipps & Tricks rund um die entwickelte Mehrschichtverbundverpackung gegeben

Optimization of packaging properties through nanoscale surface functionalization utilizing grafting of fatty acid chlorides

The study explored fatty acid chloride grafting to improve paper packaging. It enhanced water repellency and vapor barrier properties but didn’t significantly improve oil resistance. Upscaling faces challenges due to corrosive chemicals

Klimawende in der Pharmaindustrie - Innovativer Einsatz nachhaltiger Kältemittel

In Zeiten der Klimawende sind nachhaltige Technologien zur Erzeugung von Kälte essenziell zur Erreichung der gesteckten Klimaschutzziele. Sowohl in Bezug auf Treibhausgase und einen effizienten Energiebedarf steht die Industrie vor einem Wandel, um alte, etablierte Technologien abzulösen. Im Rahmen dieses Fachbeitrags werden verschiedene Kältetechnologien für Gefriertrocknungsanlagen im pharmazeutischen Umfeld gegenübergestellt. Betrachtet werden die Energieeffizienz, potenzielle Umweltbelastungen durch Kältemittel sowie Investitions- und Betriebskosten anhand zweier Fallstudien mit Feldwerten aus produktiven Anlagen mit unterschiedlichen Kältetechnologien

Voice User Interfaces and Introduction of Laboratory Automation in Research and Education

Although laboratory automation has been used successfully in some areas for decades, the general knowledge about laboratory automation and its user-friendliness still leaves a lot to be desired in some areas of application. In my presentation, I would like to introduce our open-source and easily adaptable voice-user-interface system “Rainbow“ for laboratory environments. “Rainbow“ achieves a speech recognition accuracy of at least 98.6%. On the other hand, I would like to present our decision-making aid on how interested laboratories can introduce laboratory automation systems and thereby are able to avoid common mistakes.Finally, I would like to talk about how we are training the next generations of laboratory automation specialists at our university

Change to regulate: Investigation of the curl effect in alginate-PE laminates under varying humidity conditions

The study tested alginate-PE laminates that curl with humidity changes, aiming for smart packaging that regulates moisture. Results showed promising humidity response, but better control and adhesion are needed

Towards a Proof-of-Principle of an LLM-Powered Low Resource Social Engineering Attack Coach

This article investigates the potential misuse of large language models (LLM) for low-resource, highly personalised social engineering attacks. The study explores how ChatGPT can infer personality traits during natural conversations by leveraging publicly available personal information, such as social media data, as an entry point. Utilising the social engineering personality framework (SEPF), the research endeavours to optimise attack vectors based on the Big Five personality traits, with the objective of enhancing the persuasiveness of social engineering strategies. The approach is divided into four phases: verifying conversational capabilities, conducting personality analyses, applying the SEPF for attack optimisation, and evaluating the persuasiveness of personalised attacks. The present paper offers a proof-of-principle for the initial phase, demonstrating ChatGPT’s capacity to engage in natural conversations while conducting personality analyses in a discreet manner. The findings indicate that while ChatGPT exhibits the capacity to simulate human-like interactions, limitations in conversational variance and the reliability of personality assessment were observed. The study identifies challenges such as generalisations, lack of score differentiation, and confirmation bias, and proposes refinements like increasing interaction depth, adjusting scoring scales, and using tailored personas. Subsequent research will investigate enhanced personality inference techniques, personalisation of attack vectors, and their impact on susceptibility to social engineering attacks

Human-Centric Approach to Cyber Threat Identification: The Role of Cognition, Experience, and Education in Decision-Making

This study explores the impact of human factors on cybersecurity, emphasizing how cognitive biases and the blend of knowledge, experience, and education affect cyber threat detection. It reveals that specialized education and experience enhance the ability to identify complex threats. The research, using a gamified questionnaire, assesses decision-making in simulated cyber attacks, highlighting the value of domain expertise in critical tasks like threat identification and response. It suggests further research into confidence and self-efficacy's roles in cybersecurity and underscores the need for focused training to improve detection skills and incident reporting, aiming to bolster cybersecurity defences

Proteomic insights into novel food insects: Homology-based proteome characterization and allergenicity considerations for EU-regulated insect species

Insects have emerged as a sustainable alternative protein source and recently gained regulatory approval in the European Union as novel foods and animal feed ingredients. However, the limited availability of species-specific proteomic databases presents a significant challenge for the accurate identification of proteins in insect-based food products, relevant for food authenticity, safety and allergenicity concerns. In this study, we developed a homology-based proteomic workflow to address the lack of comprehensive sequence data for edible insect species and to explore their allergenic potential. This nanoflow tandem mass spectrometry method (nano-HPLC HR-MS) aims to be generally applicable to underexplored species. We identified between 1079 and 1893 proteins for each of the six investigated insect species Acheta domesticus, Locusta migratoria, Tenebrio molitor, Alphitobius diaperinus, Gryllodes sigillatus and Hermetia illucens, increasing their numbers of known proteins up to 24-fold. Furthermore, we assessed the influence of error-tolerant peptide-spectra matching searches and database composition on protein identification and confirmed on average 90 % of selected peptides using targeted methods. We consistently detected known and putative allergens across all tested species, providing further evidence on their allergenic potential. Data from this study may provide the general basis for the development of targeted parallel reaction monitoring mass spectrometry-based assays for so far unsequenced species authentication and quantification of their proteins e.g. in novel foods. The data have been deposited to the ProteomeXchange with identifier PXD061237

Metallisierte, recycelbare Multilayer-Folien mit kreislauffähiger proteinbasierter Hochleistungs-Barriere

Thema: Demonstrationsverfahren zur Herstellung und enzymatischem Recycling von umweltfreundlichen, hochwertigen Verpackungen auf PHA-Basis (Polyhydroxyalkanoate) Ziel: Entwicklung nachhaltiger, biobasierter Verpackungslösungen mit: - hoher Funktionalität, - maßgeschneidertem End-of-Life-Konzept (z. B. biologischer Abbau, Upcycling), - Integration von Plasmatechnologie in die Wertschöpfungskette

Kunststofffreie Folien und Beschichtungen für die Flexpack-Industrie

•Neue Wege & Anwendungsmöglichkeiten durch BioShieldProcess: •Entwicklung und Pilotierung neuer Verfahren für nachhaltige Verpackungen. •Anwendung in flexiblen Verpackungen, Beuteln und Beschichtungen. •Fokus auf kreislauffähige Verpackungslösungen mit minimalem ökologischen Fußabdruck. •Nachhaltige Verpackungslösungen erfordern interdisziplinäre Ansätze, innovative Materialien und optimierte Herstellungsprozesse