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Shockwaves are mechanical pressure pulses generated in liquids and gases. Based on the principles of acoustics, shockwavescan propagate through fluids such as water. At interfaces of materials with different acoustic impedances, mechanical energy is dissipated, and disintegration of biological tissue can be achieved. Physical properties as well as technical requirements for shockwave generation by electrohydraulic, electromagnetic or piezoelectric energy conversion have been reported in the literature. The use of electrohydraulic shockwaves for food treatment is an emerging food processing technology, where a lack of scientific and technical knowledge has limited further advancements in process and equipment design. In scientific literature, single aspects required for process description are available, e.g., in metallurgy, mining, air purification or particle accelerators, but their combination toward a combined model is required to characterize underlying mechanisms of action. In food, most of the studies have focused on shockwave technology for treatment of meat cuts with the purpose of reducing aging time, softening of tissue and improving its tenderness. Other applications of the shockwave technology could expand to biological inactivation, targeted texture modifications and improving extractive and refining processes in agriculture industries. Total processing costs are estimated in a range of a few Euros per ton of product. Despite being a promising alternative to existing processes used for these purposes, the application of shockwave in the food industry is limited to date to research on pilot-scale prototypes.
Ohmic heating (OH) is an alternative sustainable heating technology that has demonstrated its potential to modify protein structures and aggregates. Furthermore, certain protein aggregates, namely amyloid fibrils (AF), are associated with an enhanced protein functionality, such as gelation. This study evaluates how Ohmic heating (OH) influences the formation of AF structures from ovalbumin source under two electric field strength levels, 8.5 to 10.5 and 24.0–31.0 V/cm, respectively. Hence, AF aggregate formation was assessed over holding times ranging from 30 to 1200 sunder various environmental conditions (3.45 and 67.95 mM NaCl, 80, 85 and 90 °C, pH = 7). AF were formed under all conditions. SDS-PAGE revealed that OH had a higher tendency to preserve native ovalbumin molecules. Furthermore, Congo Red and Thioflavin T stainings indicated that OH reduces the amount of AF structures. This finding was supported by FTIR measurements, which showed OH samples to contain lower amounts of beta-sheets. Field flow fractioning revealed smaller-sized aggregates or aggregate clusters occurred after OH treatment. In contrast, prolonged holding time or higher treatment temperatures increased ThT fluorescence, beta-sheet structures and aggregate as well as cluster sizes. Ionic strength was found to dominate the effects of electric field strength under different environmental conditions.
This textbook provides a comprehensive foundation of food physics by addressing the physical properties of food, food ingredients, and their measurements. Physical properties of food play a key role in all fields where modern technological processes are applied for the generation of food raw materials and the production of food. The determination of the physical properties of food and related products is a pre-requisite for product and process development, production engineering and automation in today’s food, pharmaceutical and cosmetics industries, as well as related quality control activities.
Following the success of its first edition published in 2007, the book has been updated to reflect recent industrial applications of novel physical food processing technologies. Each chapter begins with basic principles and progresses to a comprehensive coverage of the topic. The authors enriched this second edition with several didactic elements, including definition boxes, examples, and chapter-end summaries.
This textbook helps readers to build up their knowledge of the important aspects surrounding the physical properties of foods and food ingredients. It is also an essential resource for students of food science and technology to complement textbooks in food chemistry and food microbiology, as well as for food and chemical engineers, technologists, and technicians in the food industry.
Duckweed is a promising resource for future feed and food production as well as wastewater treatment. However, diseases and pests can critically limit the performance of the production systems. Patches of discolored and bleached duckweed (Lemna minor L.) appeared in hydroponic systems and spread rapidly through the crop. Pythium myriotylum was confirmed as the causing pathogen by microbiological and molecular biological analysis. This is the first report of P. myriotylum on duckweed in Germany. The result and possible countermeasures are discussed.
Studies on nutrition have historically concentrated on food-shortages and over-nutrition. The physiological states of feeling hungry or being satiated and its dynamics in food choices, dietary patterns, and nutritional behavior, have not been the focus of many studies. Currently, visual analytic using easy-to-use tooling offers applicability in a wide-range of disciplines. In this interdisciplinary pilot-study we tested a novel visual analytic software to assess dietary patterns and food choices for greater understanding of nutritional behavior when hungry and when satiated. We developed software toolchain and tested the hypotheses that there is no difference between visual search patterns of dishes 1) when hungry and when satiated and 2) in being vegetarian and non-vegetarian. Results indicate that food choices can be deviant from dietary patterns but correlate slightly with dish-gazing. Further, scene perception probably could vary between being hungry and satiated. Understanding t he complicated relationship between scene perception and nutritional behavioral patterns and scaling up this pilot-study to a full-study using our introduced software approaches is indispensable.
Iodine biofortification of butterhead lettuce (Lactuca sativa)viafoliar sprays was investigated infield trials, focusing on assessing the influence of the time and application method. The iodine (I)concentrations in the edible plant parts increased when potassium iodide (KI) and potassiumiodate (KIO3) solutions were sprayed at doses up to 0.25 kg I ha–1on different dates close to har-vest. Crop yield and marketable quality were not significantly affected by I treatments. A greaterefficacy of KI was frequently observed and probably related to its lower point of deliquescenceand smaller anion size in comparison with KIO3. KI sprays on butterhead lettuce at different timesof the day resulted in a higher I enrichment when applied at 11:00 and 15:00 h. The diurnal varia-tion in I uptake may reflect the impact of fluctuating climatic conditions at the time of application.Iodine treatments at different application dates near harvest led to an increasing I concentrationin the vegetable produce that could be related to the rising shoot fresh mass and leaf area.When KI and KIO3were sprayed simultaneously with commercial calcium fertilizers, fungicidesor insecticides, I accumulation in butterhead lettuce was not negatively affected or in some caseseven significantly enhanced. The results show that foliar sprays of KI and KIO3are an effectivemethod to biofortify butterhead lettuce with I and this approach may easily be implemented as aroutine method in commercial cultivation.
Extensive green roofs (EGRs) offer several beneficial ecosystem services for sustainable urban development. However, most standard green roofs have been designed with species-poor plant mixtures containing non-native species. Aiming to increase the nature conservation values of EGRs, we developed and tested a vascular plant seed mixture including regionally occurring native sandy dry grassland species in experimental miniature roofs in Northwestern Germany (temperate oceanic climate) over 4 years. We tested the mixture at two seed densities (1 and 2 g/m2). Additionally, we tested seeding at 1 g/m2 and introducing raked plant material collected from an ancient dry grassland. The total establishment rates of sown species reached 92–96% in the first year, but dropped to 40–60% in the last 2 years, with the highest values for the plots with raked material. Twenty-four additional species (11 vascular, 7 lichen, and 6 moss species, including 7 red-list species) typical of sandy dry grasslands were introduced through the raked material. Vascular plants reached 60–70% cover in the second year. Severe drought periods in the third and the fourth year led to a strong decline of vascular plant cover then. As this cover was higher in the plots with raked material, we assume facilitative effects through the well-developed cryptogam layer containing a mix of pleurocarpous and acrocarpous mosses and lichens. Spontaneously establishing acrocarpous mosses in sown plots did not seem to provide this same function. We conclude that EGRs designed with regionally occurring sandy dry grassland plant species and especially the application of raked plant material from ancient grassland is a fruitful approach to increase the value of green roofs for native phytodiversity.
Easy and inexpensive methods for measuring ammonia emissions in multi-plot field trials allow the comparison of several treatments with liquid manure application. One approach that might be suitable under these conditions is the dynamic tube method (DTM). Applying the DTM, a mobile chamber system is placed on the soil surface, and the air volume within is exchanged at a constant rate for approx. 90 s. with an automated pump. This procedure is assumed to achieve an equilibrium ammonia concentration within the system. Subsequently, a measurement is performed using an ammonia-sensitive detector tube. Ammonia fluxes are calculated based on an empirical model that also takes into account the background ammonia concentration measured on unfertilized control plots. Between measurements on different plots, the chamber system is flushed with ambient air and cleaned with paper towels to minimize contamination with ammonia. The aim of this study was to determine important prerequisites and boundary conditions for the application of the DTM.
We conducted a laboratory experiment to test if the ammonia concentration remains stable while performing a measurement. Furthermore, we investigated the cleaning procedure and the effect of potential ammonia carryover on cumulated emissions under field conditions following liquid manure application. The laboratory experiment indicated that the premeasurement phase to ensure a constant ammonia concentration is not sufficient. The concentration only stabilized after performing more than 100 pump strokes, with 20 pump strokes (lasting approximately 90 s) being the recommendation.
However, the duration of performing a measurement can vary substantially, and linear conversion accounts for those differences, so a stable concentration is mandatory. Further experiments showed that the cleaning procedure is not sufficient under field conditions. Thirty minutes after performing measurements on high emitting plots, which resulted in an ammonia concentration of approx.
10 ppm in the chamber, we detected a residual concentration of 2 ppm. This contamination may affect measurements on plots with liquid manure application as well as on untreated control plots. In a field experiment with trailing hose application of liquid manure, we subsequently demonstrated that the calculation of cumulative ammonia emissions can vary by a factor of three, depending on the degree of chamber system contamination when measuring control plots. When the ammoni background values were determined by an uncontaminated chamber system that was used to measure only control plots, cumulative ammonia emissions were approximately 9 kg NH3-N ha1.
However, when ammonia background values were determined using the contaminated chamber system that was also used to measure on plots with liquid manure application, the calculation of cumulative ammonia losses indicated approximately 3 kg NH3-N ha1. Based on these results, it can be concluded that a new empirical DTM calibration is needed for multi-plot field experiments with high-emitting treatments.
In this paper, we evaluate the application of Bayesian Optimization (BO) to discrete event simulation (DES) models. In a first step, we create a simple model, for which we know the optimal set of parameter values in advance. We implement the model in SimPy, a framework for DES written in Python. We then interpret the simulation model as a black box function subject to optimization. We show that it is possible to find the optimal set of parameter values using the open source library GPyOpt. To enhance our evaluation, we create a second and more complex model. To better handle the complexity of the model, and to add a visual component, we build the second model in Simio, a commercial off-the-shelf simulation modeling tool. To apply BO to a model in Simio, we use the Simio API to write an extension for optimization plug-ins. This extension encapsulates the logic of the BO algorithm, which we deployed as a web service in the cloud.
The fact that simulation models are black box functions with regard to their behavior and the influence of their input parameters makes them an apparent candidate for Bayesian Optimization (BO). Simulation models are multivariable and stochastic, and their behavior is to a large extent unpredictable. In particular, we do not know for sure which input parameters to adjust to maximize (or minimize) the model’s outcome. In addition, the complex models can take a substantial amount of time to run.
Bayesian Optimization is a sequential and self-learning algorithm to optimize black box functions similar to as we find them in simulation models: they contain a set of parameters for which we want to identify the optimal set, they are expensive to evaluate, and they exhibit stochastic noise. BO has proven to efficiently optimize black box functions from varius disciplines. Among those, and most notably, it is successfully applied in machine learning algorithms to optimize hyperparameters.
1. Flower strips are a fundamental part of agri-environment schemes (AESs) introduced by the European Union to counteract the loss of biodiversity and related ecosystem services in agricultural landscapes. Although vegetation composition of the strips is essential for most fauna groups, comprehensive studies analysing vegetation development and influencing factors are rare.
2. From 2017 to 2019, we investigated the vegetation composition of 40 perennial wildflower strips (WFSs) implemented in 2015 or 2016, and 20 cereal fields without WFS across Saxony-Anhalt, Germany. We analysed environmental factors on plot (cover of grasses, shading, soil fertility) and four landscape-scale levels (habitat diversity, proportion of WFS and open habitats). The provision of nectar and pollen resources was estimated by the newly developed Pollinator Feeding Index (PFI). All strips had been implemented by farmers as AES with species- rich seed mixtures comprising 30 native forbs.
3. In all study years, forb species richness, cover and related nectar and pollen supply were much higher on WFSs than on controls, confirming the effectiveness of this AES. Although sown native forbs contributed the most to the high PFI values, spontaneously established forbs expanded the total range of species considerably, especially in winter and spring. While sown forb communities remained similar over time, spontaneous forbs showed a higher species turnover. Altogether, shading and grass cover had the greatest negative effect on the performance of the sown forbs. Landscape variables had only minor effects and were inconsistent in their importance across scale levels and years.
4. Synthesis and applications. Successfully established perennial wildflower strips (WFSs) sown with species-rich native seed mixtures provided a forb-rich and diverse vegetation throughout the AES funding period of 5 years. By supplying feeding resources for pollinators under various landscape situations, WFSs have significant potential to promote farmland biodiversity and related ecosyste services. We recommend the mandatory use of species-rich wildflower mixtures for perennial flower strips and to avoid their creation in heavily shaded field edges. Advisory services for farmers are necessary to prevent failures in WFS implementation and management and to improve their ecological effectiveness.
Background
In DNA methylation analyses like epigenome-wide association studies, effects in differentially methylated CpG sites are assessed. Two kinds of outcomes can be used for statistical analysis: Beta-values and M-values. M-values follow a normal distribution and help to detect differentially methylated CpG sites. As biological effect measures, differences of M-values are more or less meaningless. Beta-values are of more interest since they can be interpreted directly as differences in percentage of DNA methylation at a given CpG site, but they have poor statistical properties. Different frameworks are proposed for reporting estimands in DNA methylation analysis, relying on Beta-values, M-values, or both.
Results
We present and discuss four possible approaches of achieving estimands in DNA methylation analysis. In addition, we present the usage of M-values or Beta-values in the context of bioinformatical pipelines, which often demand a predefined outcome. We show the dependencies between the differences in M-values to differences in Beta-values in two data simulations: a analysis with and without confounder effect. Without present confounder effects, M-values can be used for the statistical analysis and Beta-values statistics for the reporting. If confounder effects exist, we demonstrate the deviations and correct the effects by the intercept method. Finally, we demonstrate the theoretical problem on two large human genome-wide DNA methylation datasets to verify the results.
Conclusions
The usage of M-values in the analysis of DNA methylation data will produce effect estimates, which cannot be biologically interpreted. The parallel usage of Beta-value statistics ignores possible confounder effects and can therefore not be recommended. Hence, if the differences in Beta-values are the focus of the study, the intercept method is recommendable. Hyper- or hypomethylated CpG sites must then be carefully evaluated. If an exploratory analysis of possible CpG sites is the aim of the study, M-values can be used for inference.
Background
In mucosal barrier interfaces, flexible responses of gene expression to long-term environmental changes allow adaptation and fine-tuning for the balance of host defense and uncontrolled not-resolving inflammation. Epigenetic modifications of the chromatin confer plasticity to the genetic information and give insight into how tissues use the genetic information to adapt to environmental factors. The oral mucosa is particularly exposed to environmental stressors such as a variable microbiota. Likewise, persistent oral inflammation is the most important intrinsic risk factor for the oral inflammatory disease periodontitis and has strong potential to alter DNA-methylation patterns. The aim of the current study was to identify epigenetic changes of the oral masticatory mucosa in response to long-term inflammation that resulted in periodontitis.
Methods and results
Genome-wide CpG methylation of both inflamed and clinically uninflamed solid gingival tissue biopsies of 60 periodontitis cases was analyzed using the Infinium MethylationEPIC BeadChip. We validated and performed cell-type deconvolution for infiltrated immune cells using the EpiDish algorithm. Effect sizes of DMPs in gingival epithelial and fibroblast cells were estimated and adjusted for confounding factors using our recently developed “intercept-method”. In the current EWAS, we identified various genes that showed significantly different methylation between periodontitis-inflamed and uninflamed oral mucosa in periodontitis patients. The strongest differences were observed for genes with roles in wound healing (ROBO2, PTP4A3), cell adhesion (LPXN) and innate immune response (CCL26, DNAJC1, BPI). Enrichment analyses implied a role of epigenetic changes for vesicle trafficking gene sets.
Conclusions
Our results imply specific adaptations of the oral mucosa to a persistent inflammatory environment that involve wound repair, barrier integrity, and innate immune defense.
Enhancing the nutritional value of pears through agronomic biofortification with iodine (Abstract)
(2024)
When the ECLAS Conference took place in 1972 western societies were undergoing profound change: They transformed from industrial to postindustrial societies – the so-called service societies. 50 years later, the knowledge society is emerging: Knowledge is considered the key resource of this era. Digitalization and widespread dissemination of ICT allow information to be obtained anywhere anytime. This has severe implications for individual lifestyles and everyday practices. Different aspects of living, learning and working are no longer bound to physical limitations but can be enhanced by or even transferred to the virtual space. So being on the move today means travelling in hybrid spaces. We call this the space and practice “en route”.
At the University of Applied Sciences Osnabrück we explore the following questions:
What does “en route” mean and look like in landscapes of higher education?
How is it perceived individually?
(How) can landscape architecture shape it?
Our transdisciplinary research project EN ROUTE aims to meet current challenges at universities (e.g. digitalisation, sustainable development) with a comprehensive understanding of space and practices “en route”. In a transdisciplinary process, researchers from various disciplines – landscape architecture, geography, urban planning, business administrations and marketing, energy technology and computer science – develop concepts and strategies for sustainable and digital mobility in the higher education sector. New “EN ROUTE” types provide insights into the individual production and utilization of spaces “en route”.
The campuses of the University of Applied Science Osnabrück as well as the virtual and physical space network of its members serve as research example. Initial findings will be presented at the conference. While the ECLAS conference in 1972 focused on physical scales, landscape architecture has to reflect them critically and ask: What could be an innovative understanding of spaces “en route”?