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Damage of PE-HD induced by liquid media - Full Notch Creep Testing (FNCT) and Imaging analysis
(2017)
Due to the increasing demand for utilization and improvement of energy efficient materials, especially concerning requirements in lightweight construction and design, polyolefin materials are used extensively and in an increasingly broad range of applications.
Although loaded with stresses under yield stress, preformed voids, inhomogeneities or notches can possibly lead to damage and unexpected failure induced by liquid media in polyolefin materials. For PE-HD, slow crack growth (SCG) as well as environmental stress cracking (ESC) are relevant damage mechanisms. SCG appears without influence of a surrounding medium or in “inert” media whereas ESC occurs in “active” media, which have decisive influence on damage mechanism and time to failure.
To characterize the inherent resistance of the material against those damage mechanisms, the Full-Notch Creep Test (FNCT) is widely used. Therefore, the FNCT is of paramount importance particularly for the assessment of pipe and blow molding types of PE-HD – especially for automotive but also for most other high-performance applications.
In this study, the FNCT – usually applied as a standardized testing method (ISO 16770) using a few universal model liquid media – is extended by investigations of selected relevant PE-HD materials with a variety of properties also in real media. Mainly topical fuels, customary in the market such as diesel and biodiesel are examined. Especially the influence of temperature, and the ESC behavior of PE-HD in media that are sorbed to a significant extent, are addressed.
The investigations were performed using a novel FNCT-device with 12 individual sub-stations, each equipped with individual electronic stress and temperature control and continuous online monitoring of the specimen elongation.
Additional to acquired results concerning time to failure and elongation behavior, imaging techniques, such as light microscopy (LM), laser scanning microscopy (LSM) and X-ray computed tomography (CT scan) were utilized to obtain data concerning crack propagation and media migration. Correlations of elongation behavior and data derived from imaging analysis such as fracture plane roughness were obtained.
The traceability and availability of nanoparticles enables their use to enhance a variety of nano-biological and nano-medicinal applications. The particular size and shape of nanoparticles determine the uptake rate and pathway into the cell, and therefore impact specific cell components and processes. Selecting specific particle types allows researchers to target the process or structure of interest, with minimal additional impact. This can be used for drug or DNA delivery, and is being explored for use in oncology. Understanding the different uptake mechanisms and impacted processes requires sub-cellular Imaging resolution to determine, for example, whether or not the nanoparticles are reaching the nucleus.
Sub-cellular imaging has traditionally been challenging to achieve with laser ablation ICP-MS due to a lack of sensitivity at small spots. Bioimaging using LA-ICP-MS is a well-established technique, but usually applied on the tissue scale, which depends on larger spot areas where sensitivity is less problematic. The improved sensitivity and washout from the NWRimage has allowed faster imaging of smaller spots. The NWRimage also provides the possibility of true sub-micron spot sizes. This work compares the capabilities of standard laser Ablation (NWR213 system) with results from the NWRimage platform, which has been optimized for imaging applications.
Anemophilous plants produce pollen grains, which have to be monitored to provide a national information network for persons suffering from an allergy. The current conventional characterization and identification of pollen is performed by time-consuming microscopic examinations based on the genus-specific pollen shape and size. These examinations need proficient researchers, are not statistically validated, and additionally rely on relatively inaccurate observations of the pollination process.
A variety of spectroscopic and spectrometric approaches have been proposed to develop a fast and reliable pollen identification using specific molecular information. Amongst them, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was recently applied for the rapid investigation of such complex biological samples. The combination of obtained peak patterns from pollen mass spectra and multivariate statistic provide a powerful tool for identifying taxonomic relationships. A novel application based on the use of conductive carbon tape as MALDI target simplified the sample preparation and yielded enhanced the quality of the mass spectra. This led to a sufficient statistical analysis of the MS pattern, which is important when identify pollen grains in natural species mixtures.
Based on this approach, promising results could be obtained by MALDI-TOF MS imaging (MSI) of artificial pollen mixtures followed by multivariate analysis. Of special interest is here the determination of the detection limit (number of pollen grains). Therefore, different pollen grain compositions were investigated for quantitative profiling of each individual pollen species within these complex mixtures. Our results can be used to improve the taxonomic differentiation and identification of pollen species and might be useful for the development of a routine method to identify pollen based on imaging mass spectrometry.
Anemophilous plants produce pollen grains, which promote allergies. Therefore, pollen are monitored to provide a national information network. Their conventional identification and differentiation is performed by time-consuming microscopic examinations based on the genus-specific pollen morphology. A variety of spectroscopic and spectrometric approaches have been proposed to develop a fast and reliable pollen identification using specific molecular information. Amongst them, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) showed a high potential for the successful investigation of such complex biological samples. Specifically, it was illustrated that MALDI-MS imaging provides a powerful tool to identify pollen grains in pollen mixtures on the basis of ion intensity plots. More recently, the evaluation of the obtained peak patterns from pollen mass spectra with multivariate statistics enables a consistent and rapid identification of the taxonomic relationships. A novel application using conductive tape on the MALDI target simplifies sample preparation and enhanced the quality of the mass spectra. This led to a comprehensive analysis of the MS patterns, which is important when identifying pollen grains from different plant species in mixtures.
Here, we present further developments in MALDI-MS imaging of mixtures of pollen from different plant species. By combining conductive tape sample preparation with MALDI MSI and chemometric analysis, first promising results were obtained. In addition, we discuss the ability of partial least square regression (PLS-R) to identify pollen species based on independent reference spectra and present first results obtained with artificial pollen mixtures. These methods will be used in future online identification of pollen species in natural pollen mixtures.
About one in seven German citizens is suffering from respiratory allergies, which are mainly caused by anemophilous plant pollen. These pollen grains are monitored to provide a national information network. Their conventional identification is performed by time-consuming microscopic examinations based on the genus-specific pollen morphology. A variety of spectroscopic and spectrometric approaches have been proposed to develop a fast and reliable pollen identification using specific molecular information. Amongst them, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) showed a high potential for the successful investigation of such complex biological samples. The evaluation of the obtained peak patterns from pollen mass spectra with multivariate statistics enables a consistent and rapid identification of the taxonomic relationships.
Studying the interaction of nanoparticles (NPs) with cells has become a growing field of interest. Research topics are ranging from nanotoxicology to medical applications e.g. as theranostic agents. In order to evaluate nano-bio interactions, the number of NPs inside cells as well as their localisation within cellular substructures is of particular interest.
In recent years, elemental imaging of biological samples using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is gaining more and more importance. Latest instrumental developments regarding spatial resolution (down to 1 µm) and detection efficiency make LA ICP-MS particularly interesting for single cell analysis.
Here, we have applied LA-ICP-MS for sub-cellular scale imaging of individual cells to study the NP pathway from uptake, via intracellular processing up to cell division. Furthermore, the local distribution of naturally occurring elements in cells like P was measured to indicate the cell morphology.
Murine fibroblast cells were incubated with different metal-containing NPs under varying experimental conditions. For LA analysis, the cells were fixed and dried. Sub-cellular resolution was achieved by careful optimisation of the laser ablation parameters. By rastering with the laser beam across the sample, a two-dimensional image of the elemental distribution can be received. Our results show that LA-ICP-MS is able to localise NP aggregates within cellular substructures. The studied NPs accumulate in the perinuclear region in the course of intracellular processing, e.g. multivesicular fusion and endosomal maturation, but do not enter the nucleus. The uptake depends on the physico-chemical properties of the nanostructures and on the incubation conditions like concentration and incubation time. Additionally, the number of NPs internalized by individual cells was determined and variations within a cell population became visible.
The findings demonstrate the potential of LA-ICP-MS providing insight into NP uptake and intracellular distribution dependent on experimental parameters.
ICP-MS is a well-established analytical method which excels by high accuracy, high dynamic range and extremely low limits of detection for most metals. Furthermore ICP-MS offers a very high multi-element coverage so that many elements of the periodic table can be detected simultaneously. In this series of lectures, we want to focus on the historical developments, fundamentals, instrumentation and novel applications of ICP-MS in the life and material sciences.