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Die vorliegende Arbeit untersucht die Politik der Zentralbankunabhängigkeit (ZBU) am Beispiel der Türkei. Im Mittelpunkt der Arbeit stehen theoretische und empirische Fragen und Probleme, die sich im Zusammenhang mit der ZBU stellen und anhand der türkischen Geldpolitik diskutiert werden. Ein zentrales Ziel der Arbeit besteht darin, zu untersuchen, ob und inwiefern die türkische Zentralbank nach Erlangung der de jure institutionellen Unabhängigkeit tatsächlich als unabhängig und entpolitisiert eingestuft werden kann. Um diese Forschungsfrage zu beantworten, werden die institutionellen Bedingungen, die Ziele und die Regeln, nach denen sich die türkische Geldpolitik richtet, geklärt. Anschließend wird empirisch überprüft, ob die geldpolitische Praxis der CBRT sich an dem offiziell vorgegebenen Regelwerk orientiert. Die Hauptthese dieser Arbeit lautet, dass die formelle Unabhängigkeit der CBRT und die regelorientierte Geldpolitik nicht mit einer Entpolitisierung der Geldpolitik in der Türkei gleichzusetzen ist. Als Alternative schlägt die vorliegende Studie vor, den institutionellen Status der CBRT als einen der relativen Autonomie zu untersuchen. Auch eine de jure unabhängige Zentralbank kann sich nicht von politischen Eingriffen abkoppeln, wie das Fallbeispiel Türkei zeigen wird.
Die vorliegende Untersuchung verfolgt das Ziel, kulturelle und religiöse Aspekte der Erneuerung jüdischen Lebens in Berlin seit 1989 zu erforschen. Die Entwicklungen der jüdischen Gemeinschaft in der Hauptstadt seit dem Fall der Mauer und dem Zusammenbruch der Sowjetunion führen zur Wiederannäherung eines Teils der jüdischen Bevölkerung in Deutschland an die eigene Kultur, Religion und Geschichte. Dabei kommt die Pluralität der kulturellen, literarischen und religiösen Ausdrucksformen der jüdischen Identitäten zum Vorschein. Die Arbeit verdeutlicht diese in Berlin nach 1989 einsetzende kulturelle und religiöse „Renaissance“. Vier wichtige Punkte kennzeichnen das jüdische Leben in Berlin nach 1989. Erstens gewinnt Deutschland seit der Wiedervereinigung eine neue Rolle als mögliches Einwanderungsland für Juden. Vor allem mit der massiven jüdischen Einwanderung aus den Staaten der ehemaligen Sowjetunion seit den 1990er Jahren wird Deutschland allmählich als wichtiges Zentrum in der europäischen Diaspora anerkannt. Zweitens bleibt zwar die Shoah tief verankert im Gedächtnis der jüdischen Gemeinschaft; die meisten Kinder oder Enkelkinder von Überlebenden der Shoah weigern sich jedoch, ihre jüdische Identität exklusiv durch die Shoah zu definieren. Sie gründen zur Wiederentdeckung und Forderung ihres kulturellen, religiösen und historischen Erbes jüdische Gruppen und Einrichtungen in Berlin, die in den meisten Fällen alternativ zur Jüdischen Gemeinde entstehen: Künstlergruppen, jüdische Kulturvereine, Konferenzen und Podiumsdiskussionen, religiöse Kongregationen und Lernhäuser. Damit – und dies ist der dritte Punkt – verliert zwar die offizielle Jüdische Gemeinde an Bedeutung als einzige Vertreterin der jüdischen Gemeinschaft Berlins; diese kulturelle und religiöse „Renaissance“ außerhalb der offiziellen Strukturen der Gemeinde bedeutet aber auch eine wachsende Pluralität und Diversifizierung der jüdischen Gemeinschaft in Berlin. Viertens spielt Berlin die Hauptrolle in diesem Prozess. Heute werden viele ehemalige jüdische Orte neu belebt: Synagogen werden wiederentdeckt und renoviert, Denk- und Mahnmale gebaut, Stadtführungen auf der Spur des „jüdischen Berlins“ organisiert, Rabbinerseminare neu gegründet. Die Topographie Berlins bildet auch eine Inspirationsquelle für jüdische (und nichtjüdische) Schriftsteller und Künstler. Die Analyse dieser nach 1989 entstandenen religiösen Initiativen, literarischen Werke und kulturellen Produktionen dient dazu, Aspekte der kulturellen und religiösen „Renaissance“ in Berlin näher zu verdeutlichen.
Recently, due to an increasing demand on functionality and flexibility, beforehand isolated systems have become interconnected to gain powerful adaptive Systems of Systems (SoS) solutions with an overall robust, flexible and emergent behavior. The adaptive SoS comprises a variety of different system types ranging from small embedded to adaptive cyber-physical systems. On the one hand, each system is independent, follows a local strategy and optimizes its behavior to reach its goals. On the other hand, systems must cooperate with each other to enrich the overall functionality to jointly perform on the SoS level reaching global goals, which cannot be satisfied by one system alone. Due to difficulties of local and global behavior optimizations conflicts may arise between systems that have to be solved by the adaptive SoS.
This thesis proposes a modeling language that facilitates the description of an adaptive SoS by considering the adaptation capabilities in form of feedback loops as first class entities. Moreover, this thesis adopts the Models@runtime approach to integrate the available knowledge in the systems as runtime models into the modeled adaptation logic. Furthermore, the modeling language focuses on the description of system interactions within the adaptive SoS to reason about individual system functionality and how it emerges via collaborations to an overall joint SoS behavior. Therefore, the modeling language approach enables the specification of local adaptive system behavior, the integration of knowledge in form of runtime models and the joint interactions via collaboration to place the available adaptive behavior in an overall layered, adaptive SoS architecture.
Beside the modeling language, this thesis proposes analysis rules to investigate the modeled adaptive SoS, which enables the detection of architectural patterns as well as design flaws and pinpoints to possible system threats. Moreover, a simulation framework is presented, which allows the direct execution of the modeled SoS architecture. Therefore, the analysis rules and the simulation framework can be used to verify the interplay between systems as well as the modeled adaptation effects within the SoS. This thesis realizes the proposed concepts of the modeling language by mapping them to a state of the art standard from the automotive domain and thus, showing their applicability to actual systems. Finally, the modeling language approach is evaluated by remodeling up to date research scenarios from different domains, which demonstrates that the modeling language concepts are powerful enough to cope with a broad range of existing research problems.
Proteins are amphiphilic and adsorb at liquid interfaces. Therefore, they can be efficient stabilizers of foams and emulsions. β-lactoglobulin (BLG) is one of the most widely studied proteins due to its major industrial applications, in particular in food technology.
In the present work, the influence of different bulk concentration, solution pH and ionic strength on the dynamic and equilibrium pressures of BLG adsorbed layers at the solution/tetradecane (W/TD) interface has been investigated. Dynamic interfacial pressure (Π) and interfacial dilational elastic modulus (E’) of BLG solutions for various concentrations at three different pH values of 3, 5 and 7 at a fixed ionic strength of 10 mM and for a selected fixed concentration at three different ionic strengths of 1 mM, 10 mM and 100 mM are measured by Profile Analysis Tensiometer PAT-1 (SINTERFACE Technologies, Germany). A quantitative data analysis requires additional consideration of depletion due to BLG adsorption at the interface at low protein bulk concentrations. This fact makes experiments more efficient when oil drops are studied in the aqueous protein solutions rather than solution drops formed in oil. On the basis of obtained experimental data, concentration dependencies and the effect of solution pH on the protein surface activity was qualitatively analysed. In the presence of 10 mM buffer, we observed that generally the adsorbed amount is increasing with increasing BLG bulk concentration for all three pH values. The adsorption kinetics at pH 5 result in the highest Π values at any time of adsorption while it exhibits a less active behaviour at pH 3.
Since the experimental data have not been in a good agreement with the classical diffusion controlled model due to the conformational changes which occur when the protein molecules get in contact with the hydrophobic oil phase in order to adapt to the interfacial environment, a new theoretical model is proposed here. The adsorption kinetics data were analysed with the newly proposed model, which is the classical diffusion model but modified by assuming an additional change in the surface activity of BLG molecules when adsorbing at the interface. This effect can be expressed through the adsorption activity constant in the corresponding equation of state. The dilational visco-elasticity of the BLG adsorbed interfacial layers is determined from measured dynamic interfacial tensions during sinusoidal drop area variations. The interfacial tension responses to these harmonic drop oscillations are interpreted with the same thermodynamic model which is used for the corresponding adsorption isotherm.
At a selected BLG concentration of 2×10-6 mol/l, the influence of the ionic strength using different buffer concentration of 1, 10 and 100 mM on the interfacial pressure was studied. It is affected weakly at pH 5, whereas it has a strong impact by increasing buffer concentration at pH 3 and 7. In conclusion, the structure formation of BLG adsorbed layer in the early stage of adsorption at the W/TD interface is similar to those of the solution/air (W/A) surface. However, the equation of state at the W/TD interface provides an adsorption activity constant which is almost two orders of magnitude higher than that for the solution/air surface.
At the end of this work, a new experimental tool called Drop and Bubble Micro Manipulator DBMM (SINTERFACE Technologies, Germany) has been introduced to study the stability of protein covered bubbles against coalescence. Among the available protocols the lifetime between the moment of contact and coalescence of two contacting bubble is determined for different BLG concentrations. The adsorbed amount of BLG is determined as a function of time and concentration and correlates with the observed coalescence behaviour of the contacting bubbles.
This dissertation uses a common grammatical phenomenon, light verb constructions (LVCs) in English and German, to investigate how syntax-semantics mapping defaults influence the relationships between language processing, representation and conceptualization. LVCs are analyzed as a phenomenon of mismatch in the argument structure. The processing implication of this mismatch are experimentally investigated, using ERPs and a dual task. Data from these experiments point to an increase in working memory. Representational questions are investigated using structural priming. Data from this study suggest that while the syntax of LVCs is not different from other structures’, the semantics and mapping are represented differently. This hypothesis is tested with a new categorization paradigm, which reveals that the conceptual structure that LVC evoke differ in interesting, and predictable, ways from non-mismatching structures’.
In many statistical applications, the aim is to model the relationship between covariates and some outcomes. A choice of the appropriate model depends on the outcome and the research objectives, such as linear models for continuous outcomes, logistic models for binary outcomes and the Cox model for time-to-event data. In epidemiological, medical, biological, societal and economic studies, the logistic regression is widely used to describe the relationship between a response variable as binary outcome and explanatory variables as a set of covariates. However, epidemiologic cohort studies are quite expensive regarding data management since following up a large number of individuals takes long time. Therefore, the case-cohort design is applied to reduce cost and time for data collection. The case-cohort sampling collects a small random sample from the entire cohort, which is called subcohort. The advantage of this design is that the covariate and follow-up data are recorded only on the subcohort and all cases (all members of the cohort who develop the event of interest during the follow-up process).
In this thesis, we investigate the estimation in the logistic model for case-cohort design. First, a model with a binary response and a binary covariate is considered. The maximum likelihood estimator (MLE) is described and its asymptotic properties are established. An estimator for the asymptotic variance of the estimator based on the maximum likelihood approach is proposed; this estimator differs slightly from the estimator introduced by Prentice (1986). Simulation results for several proportions of the subcohort show that the proposed estimator gives lower empirical bias and empirical variance than Prentice's estimator.
Then the MLE in the logistic regression with discrete covariate under case-cohort design is studied. Here the approach of the binary covariate model is extended. Proving asymptotic normality of estimators, standard errors for the estimators can be derived. The simulation study demonstrates the estimation procedure of the logistic regression model with a one-dimensional discrete covariate. Simulation results for several proportions of the subcohort and different choices of the underlying parameters indicate that the estimator developed here performs reasonably well. Moreover, the comparison between theoretical values and simulation results of the asymptotic variance of estimator is presented.
Clearly, the logistic regression is sufficient for the binary outcome refers to be available for all subjects and for a fixed time interval. Nevertheless, in practice, the observations in clinical trials are frequently collected for different time periods and subjects may drop out or relapse from other causes during follow-up. Hence, the logistic regression is not appropriate for incomplete follow-up data; for example, an individual drops out of the study before the end of data collection or an individual has not occurred the event of interest for the duration of the study. These observations are called censored observations. The survival analysis is necessary to solve these problems. Moreover, the time to the occurence of the event of interest is taken into account. The Cox model has been widely used in survival analysis, which can effectively handle the censored data. Cox (1972) proposed the model which is focused on the hazard function. The Cox model is assumed to be
λ(t|x) = λ0(t) exp(β^Tx)
where λ0(t) is an unspecified baseline hazard at time t and X is the vector of covariates, β is a p-dimensional vector of coefficient.
In this thesis, the Cox model is considered under the view point of experimental design. The estimability of the parameter β0 in the Cox model, where β0 denotes the true value of β, and the choice of optimal covariates are investigated. We give new representations of the observed information matrix In(β) and extend results for the Cox model of Andersen and Gill (1982). In this way conditions for the estimability of β0 are formulated. Under some regularity conditions, ∑ is the inverse of the asymptotic variance matrix of the MPLE of β0 in the Cox model and then some properties of the asymptotic variance matrix of the MPLE are highlighted. Based on the results of asymptotic estimability, the calculation of local optimal covariates is considered and shown in examples. In a sensitivity analysis, the efficiency of given covariates is calculated. For neighborhoods of the exponential models, the efficiencies have then been found. It is appeared that for fixed parameters β0, the efficiencies do not change very much for different baseline hazard functions. Some proposals for applicable optimal covariates and a calculation procedure for finding optimal covariates are discussed.
Furthermore, the extension of the Cox model where time-dependent coefficient are allowed, is investigated. In this situation, the maximum local partial likelihood estimator for estimating the coefficient function β(·) is described. Based on this estimator, we formulate a new test procedure for testing, whether a one-dimensional coefficient function β(·) has a prespecified parametric form, say β(·; ϑ). The score function derived from the local constant partial likelihood function at d distinct grid points is considered. It is shown that the distribution of the properly standardized quadratic form of this d-dimensional vector under the null hypothesis tends to a Chi-squared distribution. Moreover, the limit statement remains true when replacing the unknown ϑ0 by the MPLE in the hypothetical model and an asymptotic α-test is given by the quantiles or p-values of the limiting Chi-squared distribution. Finally, we propose a bootstrap version of this test. The bootstrap test is only defined for the special case of testing whether the coefficient function is constant. A simulation study illustrates the behavior of the bootstrap test under the null hypothesis and a special alternative. It gives quite good results for the chosen underlying model.
References
P. K. Andersen and R. D. Gill. Cox's regression model for counting processes: a large samplestudy. Ann. Statist., 10(4):1100{1120, 1982.
D. R. Cox. Regression models and life-tables. J. Roy. Statist. Soc. Ser. B, 34:187{220, 1972.
R. L. Prentice. A case-cohort design for epidemiologic cohort studies and disease prevention trials. Biometrika, 73(1):1{11, 1986.
Since 1998, elite athletes’ sport injuries have been monitored in single sport event, which leads to the development of first comprehensive injury surveillance system in multi-sport Olympic Games in 2008. However, injury and illness occurred in training phases have not been systematically studied due to its multi-facets, potentially interactive risk related factors. The present thesis aim to address issues of feasibility of establishing a validated measure for injury/illness, training environment and psychosocial risk factors by creating the evaluation tool namely risk of injury questionnaire (Risk-IQ) for elite athletes, which based on IOC consensus statement 2009 recommended content of preparticipation evaluation(PPE) and periodic health exam (PHE).
A total of 335 top level athletes and a total of 88 medical care providers from Germany and Taiwan participated in tow “cross-sectional plus longitudinal” Risk-IQ and MCPQ surveys respectively. Four categories of injury/illness related risk factors questions were asked in Risk-IQ for athletes while injury risk and psychological related questions were asked in MCPQ for MCP cohorts. Answers were quantified scales wise/subscales wise before analyzed with other factors/scales. In addition, adapted variables such as sport format were introduced for difference task of analysis.
Validated with 2-wyas translation and test-retest reliabilities, the Risk-IQ was proved to be in good standard which were further confirmed by analyzed results from official surveys in both Germany and Taiwan. The result of Risk-IQ revealed that elite athletes’ accumulated total injuries, in general, were multi-factor dependent; influencing factors including but not limited to background experiences, medical history, PHE and PPE medical resources as well as stress from life events. Injuries of different body parts were sport format and location specific. Additionally, medical support of PPE and PHE indicated significant difference between German and Taiwan.
The result of the present thesis confirmed that it is feasible to construct a comprehensive evalua-tion instrument for heterogeneous elite athletes cohorts’ risk factor analysis for injury/illness oc-curred during their non-competition periods. In average and with many moderators involved, Ger-man elite athletes have superior medical care support yet suffered more severe injuries than Tai-wanese counterparts. Opinions of injury related psychological issues reflected differently on vari-ous MCP groups irrespective of different nationalities. In general, influencing factors and interac-tions existed among relevant factors in both studies which implied further investigation with multiple regression analysis is needed for better understanding.
Die vorliegende Arbeit befasst sich mit Führungsverhalten im öffentlichen Sektor sowie mit Einflussfaktoren auf dieses Führungsverhalten. Hierzu wurde eine Taxonomie, bestehend aus sechs Metakategorien von Führungsverhalten, entwickelt. Die Metakategorien umfassen Aufgaben-, Beziehungs-, Veränderungs-, Außen-, Ethik- und Sachbearbeitungsorientierung. Eine Analyse von Umfragedaten, die für diese Arbeit bei Mitarbeitern und unteren Führungskräften dreier Behörden erhoben wurden, zeigt, dass diese Taxonomie sehr gut geeignet ist, die Führungsrealität in der öffentlichen Verwaltung abzubilden.
Eine deskriptive Auswertung der Daten zeigt außerdem, dass es eine relativ große Differenz zwischen der Selbsteinschätzung der Führungskräfte und der Fremdeinschätzung durch ihre Mitarbeiter gibt. Diese Differenz ist bei der Beziehungs- und Veränderungsorientierung besonders hoch.
Der deskriptiven Auswertung schließt sich eine Analyse von Einflussfaktoren auf das Führungsverhalten an. Die Einflussfaktoren können den vier Kategorien "Charakteristika und Eigenschaften der Führungskräfte", "Erwartungen und Interesse von Vorgesetzten", "Charakteristika und Einstellungen von Geführten" und "Managementinstrumente und -rahmenbedingungen" zugeordnet werden.
Eine Analyse mit Hilfe von hierarchischen linearen Modellen zeigt, dass vor allem die Führungsmotivation und die Managementorientierung der Führungskräfte, die Gemeinwohlorientierung und die Art der Aufgabe der Geführten sowie die strategische Führungskräfteauswahl und die Leistungsmessung durch die Führungskräfte anhand konkreter Ziele einen Einfluss auf das Führungsverhalten haben.
Die Ergebnisse dieser Arbeit ergänzen die Literatur zu Führungsverhalten im öffentlichen Sektor um die Perspektive der Einflussfaktoren auf das Führungsverhalten und leisten zusätzlich mit Hilfe der verwendeten Taxonomie einen Beitrag zur theoretischen Diskussion von Führungsverhalten in der Public-Management-Forschung. Darüber hinaus bieten die gewonnenen Erkenntnisse der Verwaltungspraxis Hinweise zu relevanten Einflussfaktoren auf das Führungsverhalten sowie auf beachtliche Differenzen zwischen Selbst- und Fremdwahrnehmung des Führungsverhaltens.
Proteins are natural polypeptides produced by cells; they can be found in both animals and plants, and possess a variety of functions. One of these functions is to provide structural support to the surrounding cells and tissues. For example, collagen (which is found in skin, cartilage, tendons and bones) and keratin (which is found in hair and nails) are structural proteins. When a tissue is damaged, however, the supporting matrix formed by structural proteins cannot always spontaneously regenerate. Tailor-made synthetic polypeptides can be used to help heal and restore tissue formation.
Synthetic polypeptides are typically synthesized by the so-called ring opening polymerization (ROP) of α-amino acid N-carboxyanhydrides (NCA). Such synthetic polypeptides are generally non-sequence-controlled and thus less complex than proteins. As such, synthetic polypeptides are rarely as efficient as proteins in their ability to self-assemble and form hierarchical or structural supramolecular assemblies in water, and thus, often require rational designing. In this doctoral work, two types of amino acids, γ-benzyl-L/D-glutamate (BLG / BDG) and allylglycine (AG), were selected to synthesize a series of (co)polypeptides of different compositions and molar masses.
A new and versatile synthetic route to prepare polypeptides was developed, and its mechanism and kinetics were investigated. The polypeptide properties were thoroughly studied and new materials were developed from them. In particular, these polypeptides were able to aggregate (or self-assemble) in solution into microscopic fibres, very similar to those formed by collagen. By doing so, they formed robust physical networks and organogels which could be processed into high water-content, pH-responsive hydrogels. Particles with highly regular and chiral spiral morphologies were also obtained by emulsifying these polypeptides. Such polypeptides and the materials derived from them are, therefore, promising candidates for biomedical applications.
Foam fractionation of surfactant and protein solutions is a process dedicated to separate surface active molecules from each other due to their differences in surface activities. The process is based on forming bubbles in a certain mixed solution followed by detachment and rising of bubbles through a certain volume of this solution, and consequently on the formation of a foam layer on top of the solution column. Therefore, systematic analysis of this whole process comprises of at first investigations dedicated to the formation and growth of single bubbles in solutions, which is equivalent to the main principles of the well-known bubble pressure tensiometry. The second stage of the fractionation process includes the detachment of a single bubble from a pore or capillary tip and its rising in a respective aqueous solution. The third and final stage of the process is the formation and stabilization of the foam created by these bubbles, which contains the adsorption layers formed at the growing bubble surface, carried up and gets modified during the bubble rising and finally ends up as part of the foam layer.
Bubble pressure tensiometry and bubble profile analysis tensiometry experiments were performed with protein solutions at different bulk concentrations, solution pH and ionic strength in order to describe the process of accumulation of protein and surfactant molecules at the bubble surface. The results obtained from the two complementary methods allow understanding the mechanism of adsorption, which is mainly governed by the diffusional transport of the adsorbing protein molecules to the bubble surface. This mechanism is the same as generally discussed for surfactant molecules. However, interesting peculiarities have been observed for protein adsorption kinetics at sufficiently short adsorption times. First of all, at short adsorption times the surface tension remains constant for a while before it decreases as expected due to the adsorption of proteins at the surface. This time interval is called induction time and it becomes shorter with increasing protein bulk concentration. Moreover, under special conditions, the surface tension does not stay constant but even increases over a certain period of time. This so-called negative surface pressure was observed for BCS and BLG and discussed for the first time in terms of changes in the surface conformation of the adsorbing protein molecules. Usually, a negative surface pressure would correspond to a negative adsorption, which is of course impossible for the studied protein solutions. The phenomenon, which amounts to some mN/m, was rather explained by simultaneous changes in the molar area required by the adsorbed proteins and the non-ideality of entropy of the interfacial layer. It is a transient phenomenon and exists only under dynamic conditions.
The experiments dedicated to the local velocity of rising air bubbles in solutions were performed in a broad range of BLG concentration, pH and ionic strength. Additionally, rising bubble experiments were done for surfactant solutions in order to validate the functionality of the instrument. It turns out that the velocity of a rising bubble is much more sensitive to adsorbing molecules than classical dynamic surface tension measurements. At very low BLG or surfactant concentrations, for example, the measured local velocity profile of an air bubble is changing dramatically in time scales of seconds while dynamic surface tensions still do not show any measurable changes at this time scale. The solution’s pH and ionic strength are important parameters that govern the measured rising velocity for protein solutions. A general theoretical description of rising bubbles in surfactant and protein solutions is not available at present due to the complex situation of the adsorption process at a bubble surface in a liquid flow field with simultaneous Marangoni effects. However, instead of modelling the complete velocity profile, new theoretical work has been started to evaluate the maximum values in the profile as characteristic parameter for dynamic adsorption layers at the bubble surface more quantitatively.
The studies with protein-surfactant mixtures demonstrate in an impressive way that the complexes formed by the two compounds change the surface activity as compared to the original native protein molecules and therefore lead to a completely different retardation behavior of rising bubbles. Changes in the velocity profile can be interpreted qualitatively in terms of increased or decreased surface activity of the formed protein-surfactant complexes. It was also observed that the pH and ionic strength of a protein solution have strong effects on the surface activity of the protein molecules, which however, could be different on the rising bubble velocity and the equilibrium adsorption isotherms. These differences are not fully understood yet but give rise to discussions about the structure of protein adsorption layer under dynamic conditions or in the equilibrium state.
The third main stage of the discussed process of fractionation is the formation and characterization of protein foams from BLG solutions at different pH and ionic strength. Of course a minimum BLG concentration is required to form foams. This minimum protein concentration is a function again of solution pH and ionic strength, i.e. of the surface activity of the protein molecules. Although at the isoelectric point, at about pH 5 for BLG, the hydrophobicity and hence the surface activity should be the highest, the concentration and ionic strength effects on the rising velocity profile as well as on the foamability and foam stability do not show a maximum. This is another remarkable argument for the fact that the interfacial structure and behavior of BLG layers under dynamic conditions and at equilibrium are rather different. These differences are probably caused by the time required for BLG molecules to adapt respective conformations once they are adsorbed at the surface.
All bubble studies described in this work refer to stages of the foam fractionation process. Experiments with different systems, mainly surfactant and protein solutions, were performed in order to form foams and finally recover a solution representing the foamed material. As foam consists to a large extent of foam lamella – two adsorption layers with a liquid core – the concentration in a foamate taken from foaming experiments should be enriched in the stabilizing molecules. For determining the concentration of the foamate, again the very sensitive bubble rising velocity profile method was applied, which works for any type of surface active materials. This also includes technical surfactants or protein isolates for which an accurate composition is unknown.