Analytische Chemie
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- Nanoparticles (14)
- Online NMR spectroscopy (10)
- XPS (9)
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- Fluorescence (6)
- Online NMR Spectroscopy (6)
- Process analytical technology (6)
- SEM/EDX (6)
"The optical properties of semiconductor nanocrystals (SCNC) are controlled by constituent material, particle size, and surface chemistry, specifically the number of dangling bonds favoring nonradiative deactivation. This can lead to a distribution of photoluminescence Quantum yields (PL QY) amongst the SCNC particles, i.e., mixtures of “bright” and “grey” or “dark” SCNCs.
Particularly the number of absorbing, yet not emitting particles can have a significant effect on the PL quantum yield obtained in ensemble measurements, leading to ist underestimation. The “dark fraction” is not assessable in common ensemble measurements; it can be probed only on a single particle level using a confocal laser scanning microscope coupled with an AFM. Such a setup was used to study core‐shell CdSe SCNCs with different shells and surface chemistries. Special emphasis was dedicated to correlate brightness, blinking, dark fraction, and decay kinetics of the single SCNCs with the ensemble PL QY and the PL decay kinetics. The results of this study can help to identify new synthetic routes and surface modifications to colloidally and photochemically stable SCNCs with a PL QY of close to unity."
For mobile robots that operate in complex, uncontrolled environments, estimating air flow models can be of great importance. Aerial robots use air flow models to plan optimal navigation paths and to avoid turbulence-ridden areas. Search and rescue platforms use air flow models to infer the location of gas leaks. Environmental monitoring robots enrich pollution distribution maps by integrating the information conveyed by an air flow model. In this paper, we present an air flow modelling algorithm that uses wind data collected at a sparse number of locations to estimate joint probability distributions over wind speed and direction at given query locations. The algorithm uses a novel extrapolation approach that models the air flow as a linear combination of laminar and turbulent components. We evaluated the prediction capabilities of our algorithm with data collected with an aerial robot during several exploration runs. The results show that our algorithm has a high degree of stability with respect to parameter selection while outperforming conventional extrapolation approaches. In addition, we applied our proposed approach in an industrial application, where the characterization of a ventilation system is supported by a ground mobile robot. We compared multiple air flow maps recorded over several months by estimating stability maps using the Kullback-Leibler divergence between the distributions. The results show that, despite local differences, similar air flow patterns prevail over time. Moreover, we corroborated the validity of our results with knowledge from human experts.
Lanthanide doped photon upconverting nanophosphors (UCNPs) have the unique capability to produce narrow band, multi-color emission in the UV/vis/NIR upon multiphotonic absorption of infrared light, which makes them promising reporters for diagnostic, bioanalytical, and biological applications. This minimizes background signals, which normally occur due to autofluorescence from auxochromes, in biological matrices and enables deep penetration depths in biological applications. Moreover, UCNPs show long luminescence lifetimes in the μs range favorable for time gated emission in conjunction with a high photostability and chemical inertness and they do not blink. One of the most efficient upconversion (UC) phosphors for conversion of 976 nm to 655 nm and 545 nm light presents the hexagonal NaYF4-host crystal doped with 20 % Yb3+ used as sensitizer to absorb infrared light and 2 % Er3+ acting as activator mainly responsible for light emission. The high transparency in the relevant spectral windows of this host together with its low phonon frequencies ensure relatively high luminescence efficiencies.
Although UCNPs are ideal candidates for many chemical and biological sensing and imaging applications, compared to other well-known chromophores like organic dyes or QDs, they suffer from a comparatively low brightness due to the low absorption cross sections of the parity forbidden f-f-transitions and low photoluminescence quantum yields (QYUC) particularly in the case of small nanoparticles with sizes of < 50 nm. The rational design of more efficient UCNPs requires an improved understanding of the nonradiative decay pathways in these materials that are influenced by particle architecture including dopant ion concentration and homogeneity of dopant distribution within UCNPs, size/surface-to-volume ratio, surface chemistry, and microenvironment. A promising approach to overcome the low efficiency of UCNPs is to use plasmonic interactions between a noble metal (Ag or Au) structure in the proximity of UCNPs and the incident light. This interaction leads to a modification of the spectroscopic properties due
to local field enhancements and can involve an increase of the photoluminescence. In this respect, we study the interactions of UCNPs with metal structures (clusters and shells) by varying shape and size. Here, first results derived from integrating sphere spectroscopy and time-resolved fluorescence measurements are presented.
A method for the examination of the epitope of a monoclonal antibody against a peptide related to hepcidin-25, known as a biomarker in the ion metabolism, was developed. Characterizing the exact binding site helps to understand the properties of the antibody. A peptide consists of different amino acids, each contributing differently to the binding strength. To examine the influence of the amino acids, each amino acid was subsequently exchanged by glycine. If the respective amino acid is critical for binding to the antibody, a significant drop in the binding affinity should be observed.
The epitope screening of monoclonal antibodies is a complex and elaborate procedure. For this approach, variants of the peptides were synthesized by conventional Fmoc-based peptide synthesis. The solid support was chosen to be suitable for the synthesis and additional screening against the antibody. To determine the binding affinity, the bead-bound peptides were incubated with a fluorophore-labeled antibody. After the incubation, the beads were placed on a slide and the fluorescence was detected by a fluorescence scanner. A high fluorescence indicates a high binding affinity and vice versa.
Hexagonal NaYF4 doped with 20 % Yb3+ and 2 % Er3+ is an efficient upconversion (UC) phosphor for the conversion of 976 nm excitation light to emission at 845 nm, 800 nm, 655 nm, 540 nm and 410 nm light. The emission behavior of nanoparticles made from this material is strongly influenced by particle size, surface chemistry, and microenvironment. Furthermore their UC emission originates from multiphotonic absorption processes, rendering the resulting luminescence spectra and intensities excitation power density (P) dependent. Therefore the rational design of efficient nm-sized UC particles e.g., for applications in the material and life sciences requires reliable spectroscopic tools for the characterization of the optical properties of these materials like the excitation power density (P)-dependent UC quantum yield (QYUC) in dispersion, which presents a measure for the efficiency of the conversion of absorbed into emitted photons. Up to date the P-dependent absolute measurement of QYUC in aqueous media with an excitation wavelength of 976 nm presents a considerable challenge due to the low absorption coefficients of the UC materials and the absorption of water at this wavelength.
Mediaeval stained glass has been treated with Polymethylmetacrylate coatings by Kwiatkowski in Poland during the 1950th. Such treated panels were found in the Johannis Church of Toruń (without protective glazing), in the Cathedral of Włocławek (behind a protective glazing), and on glass kept in exhibition cases in the museum of Toruń. Surface coatings have been detected and analyzed. There was no extensive contamination by fungi or bacteria if the glass was either coated or not.
develops new process concepts, involving innovative tuneable solvent systems to enable rather difficult or inapplicable synthesis paths. One possible concept is the hydroformylation of long-chained alkenes in microemulsions. For this, a modular mixer-settler concept was proposed, combining high reaction rates and efficient catalyst recycling via the application of technical grade surfactants. The feasibility of such a concept is evaluated in a fully automated, modular mini-plant system within which the characteristics of such a multiphase system pose several obstacles in operating this mini-plant. Maintaining a stable phase separation for efficient product separation and catalyst recycling is complicated by small and highly dynamic operation windows as well as poor measurability of component concentrations in the liquid phases. In this contribution, a model-based strategy is presented to enable concentration tracking and phase state control within dynamic mini-plant experiments. Raman spectroscopy is used as an advanced process analytical tools, which allows for online in-situ tracking of concentrations. Combined with optical and conductivity analysis optimal plant trajectories can be calculated, solving a dynamic optimization problem under uncertainty. Applying these, a stable reaction yield of 40 % was achieved, combined with an oil phase purity of 99,8 % (total amount of oily components in the oil phase) and a catalyst leaching below 0.1 ppm.
Within the Collaborative Research Center InPROMPT a novel process concept for the hydroformylation of long-chained olefins is studied in a mini-plant, using a rhodium complex as catalyst in the presence of syngas. Recently, the hydroformylation in micro¬emulsions, which allows for the efficient recycling of the expensive rhodium catalyst, was found to be feasible. However, the high sensitivity of this multi-phase system with regard to changes in temperature and composition demands a continuous observation of the reaction to achieve a reliable and economic plant operation. For that purpose, we tested the potential of both online NMR and Raman spectroscopy for process control. The lab-scale experiments were supported by off-line GC-analysis as a reference method.
A fiber optic coupled probe of a process Raman spectrometer was directly integrated into the reactor. 25 mixtures with varying concentrations of olefin (1-dodecene), product (n-tridecanal), water, n-dodecane, and technical surfactant (Marlipal 24/70) were prepared according to a D-optimal design. Online NMR spectroscopy was implemented by using a flow probe equipped with 1/16” PFA tubing serving as a flow cell. This was hyphenated to the reactor within a thermostated bypass to maintain process conditions in the transfer lines.
Partial least squares regression (PLSR) models were established based on the initial spectra after activation of the reaction with syngas for the prediction of unknown concentrations of 1-dodecene and n-tridecanal over the course of the reaction in the lab-scale system. The obtained Raman spectra do not only contain information on the chemical composition but are further affected by the emulsion properties of the mixtures, which depend on the phase state and the type of micelles. Based on the spectral signature of both Raman and NMR spectra, it could be deduced that especially in reaction mixtures with high 1-dodecene content the formation of isomers as a competitive reaction was dominating. Similar trends were also observed during some of the process runs in the mini-plant. The multivariate calibration allowed for the estimation of reactants and products of the hydroformylation reaction in both laboratory setup and mini-plant.
Process analytical techniques are extremely useful tools for chemical production and manufacture and are of particular interest to the pharmaceutical, food and (petro-) chemical industries.
Today, mainly optical online methods are applied. NMR spectroscopy has a high potential for direct loop process control. Compact NMR instruments based on permanent magnets are robust and relatively inexpensive analysers, which feature advantages like low cost, low maintenance, ease of use, and cryogen-free operation. Instruments for online NMR measurements equipped with a flow-through cell, possessing a good signal-to-noise-ratio, sufficient robustness, and meeting the requirements for integration into industrial plants (i.e., explosion safety and fully automated data analysis) are currently not available off the rack.
A major advantage of NMR spectroscopy is that the method features a high linearity between absolute signal area and sample concentration, which makes it an absolute analytical comparison method which is independent of the matrix. This is an important prerequisite for robust data evaluation strategies within a control concept and reduces the need for extensive maintenance of the evaluation model over the time of operation. Additionally, NMR spectroscopy provides orthogonal, but complimentary physical information to conventional, e.g., optical spectroscopy. It increases the accessible information for technical processes, where aromatic-to-aliphatic conversions or isomerizations occur and conventional methods fail due to only minor changes in functional groups.
As a technically relevant example, the catalytic hydrogenation of 2-butyne-1,4-diol and further pharmaceutical reactions were studied using an online NMR sensor based on a commercially available low-field NMR spectrometer within the framework of the EU project CONSENS (Integrated Control and Sensing).
Process analytical techniques are extremely useful tools for chemical production and manufacture and are of particular interest to the pharmaceutical, food and (petro-) chemical industries.
Today, mainly optical online methods are applied. NMR spectroscopy has a high potential for direct loop process control. Compact NMR instruments based on permanent magnets are robust and relatively inexpensive analysers, which feature advantages like low cost, low maintenance, ease of use, and cryogen-free operation. Instruments for online NMR measurements equipped with a flow-through cell, possessing a good signal-to-noise-ratio, sufficient robustness, and meeting the requirements for integration into industrial plants (i.e., explosion safety and fully automated data analysis) are currently not available off the rack.
A major advantage of NMR spectroscopy is that the method features a high linearity between absolute signal area and sample concentration, which makes it an absolute analytical comparison method which is independent of the matrix. This is an important prerequisite for robust data evaluation strategies within a control concept and reduces the need for extensive maintenance of the evaluation model over the time of operation. Additionally, NMR spectroscopy provides orthogonal, but complimentary physical information to conventional, e.g., optical spectroscopy. It increases the accessible information for technical processes, where aromatic-to-aliphatic conversions or isomerisation’s occur and conventional methods fail due to only minor changes in functional groups.
As a technically relevant example, the catalytic hydrogenation of 2-butyne-1,4-diol and further pharmaceutical reactions were studied using an online NMR sensor based on a commercially available low-field NMR spectrometer within the framework of the EU project CONSENS (Integrated Control and Sensing).
Photothermal imaging is commonly used for the characterization of material properties, the determination of layer thicknesses or the detection of inhomogeneities such as voids or cracks. For this purpose, the solid specimen is externally heated, e.g. by using a light source. The resulting transient heat flows interact with the inner structures of the specimen, which in turn is measured as a transient temperature distribution at the surface.
Novel array-shaped, high-power laser light sources allow to control the heating of the surface arbitrarily, both temporally and spatially. This enables us to shape the heat flows within the material in a very specific way. In a first application, we demonstrate how to apply destructively interfering thermal wave fields in order to detect subsurface defects with a very high sensitivity. A similar technique, although originating from a very different physical domain, is already in use for medical 3D imaging showing the high potential of this approach.
Pollution through emission of toxic gases is of utmost environmental concern, raising the interest in developing reliable gas sensors. Exemplarily, ammonia and its conversion products can provoke considerable damage on human health and ecosystems. Hence, there is a need for reliable and reversible sensor materials to monitor traces of gaseous ammonia in ambient air, which at best can be used on-site for field measurements. Although various types of sensors such as potentiometric, amperometric, and biological sensors are available for detecting trace amounts of gases, fluorescent sensors have gained importance due to several advantages such as high sensitivity, possible miniaturization, as well as potential multiplexing. Herein, we present the development of a sensor material for gaseous ammonia in the lower ppm or even ppb range using optical fluorescence as transduction mechanism due to its intrinsically high sensitivity and high spatial resolution.[1] Therefore, a fluorescent dye, which shows reversible fluorescence enhancement in the presence of the analyte was incorporated into a polymer matrix, the latter to ensure the accumulation of ammonia. To calibrate the designed optical sensor system a gas standard generator was used, producing standard gas mixtures, which comply with the metrological traceability for ammonia gas standards in the desired environmentally relevant measurement range.[2] Beside the development of a highly sensitive, selective, and reversible sensor, the integration of such systems into mobile sensor devices is addressed. Therefore, a prototype of a miniaturized hand-held instrument was developed enabling a straightforward and long-term read-out of the measurement signal.
We present the first spectroscopic study on a reverse glass painting form the classic modern period (1905-1955). Marianne Uhlenhuth’s painting “Ohne Titel, 1954” shows characteristics like experimental use of colorants and abstract compositions, which are well-established in classic modern art. Compared to stained glass, reverse glass paintings are viewed in reflected light, hence they reveal strong and intense colors. New inorganic pigments, development of synthetic organic pigments and the simultaneous supersession of well-known ancient colorants result in experimental works and remarkable pigment mixtures in this period of time. An in-situ, non-invasive approach was used to study the pigments and binding media. In-situ measurements were carried out using Raman spectroscopy (i-Raman®Plus, Bwtek Inc., 785 nm, 20× objective, resolution 4 cm-1), X-ray fluorescence (Tracer III-SD, Bruker AXS Microanalysis GmbH, 40 kV, 15 μA), VIS spectroscopy (SPM 100, Gretag-Imaging AG) and DRIFTS: Diffuse Reflection-Infrared-Fourier-Transform Spectroscopy (ExoScan, Agilent GmbH, 4000-650 cm-1, 256 scans, resolution 4cm-1). The pigments consist of inorganic as well as organic materials. Phthalocyanin green (PG7, colour index No. 74260), viridian and emerald green were used for the green areas. The yellow parts consist of chrome yellow and cadmium yellow. Pigment Yellow 1 (C.I. 11680) was used for the dark yellow/orange part. Red areas were characterized by the presence of cadmium and selenium (cadmium red) in the XRF spectrum. Ultramarine was detected in the blue parts. Concerning the violet color PR81 (bluish red, C.I. 45160:1) in mixture with PG7 (bluish green) were identified as main components. We want to outline that PR81 was rarely found in paintings. It was only recorded in the palettes of Lucio Fontana and Mary Cassatt before. The dark violet areas consist of Prussian blue and an unknown red (organic) colorant. Brown iron oxide was identified as the brown pigment. Bone black in mixture with black iron oxide were used as black materials and zinc white and titanium white as white pigments. XRF analysis of the metal color yields intense copper, zinc and nickel peaks (intensity ratio 3:3:1), which corresponds to “new silver” alloy. Barite and chalk are the fillers in this painting. Results of DRIFTS spectra show gum sometimes mixed with protein or oil (metal soaps) as binding media. The results point out that reverse glass paintings from the classic modern period are excellent examples to study the evolution of new pigments and their acceptance in artist’s palettes.
A multilayer consisting of two different rotaxanes was investigated with different analytical methods. The rotaxanes can be switched with two different stimuli - chemical and photochemical. XPS indicates that our layer-by-layer approach worked and a layer growth with every deposition step is present. NEXAFS showed that both stimuli cause an increase of the multilayer's preferential orientation.
Luminescence techniques are amongst the most commonly used analytical methods in the life and the material sciences due to their sensitivity and nondestructive character. All photoluminescence signals are, however, affected by wavelength-, polarization- and time-dependent instrument-related effects. Furthermore, substantial challenges to measure absolute luminescence intensities complicate the comparison of data recorded with different instruments and on the same instrument at different times. These problems can be easily resolved with fluorescence standards used for instrument performance validation (IPV) and determination of instrument-to-instrument variations, which allow to measure, quantify, and monitor the wavelength-dependent spectral responsivity for typically used instrument settings. For example, a set of liquid fluorescence standards, the BAM Kit F001-F005, and a ready-to-use glass-based fluorescence standard BAM F-012 developed and certified by BAM enable the characterization of many fluorescence parameters in the UV/vis wavelength range. For the increasingly used near infrared (NIR) region, standards and calibration tools are still very rare. Reliable spectral fluorescence standards and intensity or quantum yield standards are currently not available for the NIR, even though in biology, molecular imaging, and clinical diagnostics fluorescence labels absorbing and emitting in the long wavelength region beyond 650 nm are being increasingly used.
This limitation hampers the reliability and comparability of fluorescence measurements in the NIR and calls for simple fluorescence standards for instrument characterization and for the quantification of fluorescence intensities and efficiencies to improve the comparability of the emission measurements in the NIR. This encouraged us to assess the potential of several NIR-emitting materials as spectral fluorescence standards, thereby extending the BAM Kit from the UV/vis into the NIR up to 950 nm. Moreover, we currently certify quantum yield standards for the UV/vis/NIR to improve the reliability of relative measurements of this spectroscopic key quantity particularly > 650 nm. These tools enable an instrument characterization, signal referencing, quality assurance, traceability, and method validation now also for wavelengths > 650 nm, thereby improving the reliability of fluorescence data in pharmaceutical research, medical and clinical diagnostics, material analysis, and environmental monitoring.
Capillary electrophoresis (CE) is an analytical technique that
separates analytes based on their electrophoretic mobility with
the use of an applied voltage.
Nanoparticles separation using CE exhibits good separation and
analysis efficiency, especially for nanoparticles smaller than 30
nm. The coupling of CE with inductively coupled plasma mass
spectrometry (ICP-MS) provides the possibility to detect
nanoparticles in the concentration range of nanograms per litre
and enables the simultaneous detection of nanoparticles and its
[1][2] ionic counter parts.
Our objective is to develop a fast and reliable separation method
for differently modified nanoparticles using capillary
electrophoresis.
Due to the demand of monitoring the water quality regarding emerging pollutants, such as drug residues, selective, high-throughput and multi-target analytical methods must be established. On the one hand, the influence of sewage on natural surface waters must be routinely monitored. On the other hand, estimation of removal efficiencies of pollutants, such as drug residues, is in the focus of industrial and public wastewater treatment. Immunoassays, such as ELISA, offer the possibility to be highly sensitive and selective due to the high target affine and specific recognition of antibodies to target molecules. Batch-wise processing in microtiter plates allow the necessary high-throughput, but only a single analyte can be determined within one measurement.
To overcome these disadvantages, we developed a four-plex micro-bead based flow cytometric assay, which is adaptable for the microtiter plate format. The modular and self-prepared bead support consists of polystyrene-core-silica-shell particles. While the polystyrene core is used for encoding, by introducing different amounts of fluorescent dyes, the silica-shell creates a solid-support for the immunoassay: The target analytes, three drugs, carbamazepine, diclofenac and caffeine and the f ecal marker isolithocholic acid are covalently coupled to amino-groups on the surface via NHS-chemistry. A competitive immunoassay is subsequently conducted in a simple mix-and-read procedure. Finally, we could use SAFIA to assess the influent of treated and untreated waste water on the Douro river estuary in Portugal. The results of the analysis are comparable to ELISA. However, measurements could be carried out in 25% the time of analysis.
Due to the demand of monitoring the water quality regarding emerging pollutants, such as drug residues, selective, high-throughput and multi-target analytical methods must be established. On the one hand, the influence of sewage on natural surface waters must be routinely monitored. On the other hand, estimation of removal efficiencies of pollutants, such as drug residues, is in the focus of industrial and public wastewater treatment. Immunoassays, such as ELISA, offer the possibility to be highly sensitive and selective due to the high target affine and specific recognition of antibodies to target molecules. Batch-wise processing in microtiter plates allow the necessary high-throughput, but only a single analyte can be determined within one measurement.
To overcome these disadvantages, we developed a four-plex micro-bead based flow cytometric assay, which is adaptable for the microtiter plate format. The modular and self-prepared bead support consists of polystyrene-core-silica-shell particles. While the polystyrene core is used for encoding, by introducing different amounts of fluorescent dyes, the silica-shell creates a solid-support for the immunoassay: The target analytes, three drugs, carbamazepine, diclofenac and caffeine and the f ecal marker isolithocholic acid are covalently coupled to amino-groups on the surface via NHS-chemistry. A competitive immunoassay is subsequently conducted in a simple mix-and-read procedure. Finally, we could use SAFIA to assess the influent of treated and untreated waste water on the Douro river estuary in Portugal. The results of the analysis are comparable to ELISA. However, measurements could be carried out in 25% the time of analysis.
Manufacturing of new perovskite layered solar cells with constant high light conversion efficiency over time may be hampered by the loss of efficiency caused by structural and/or chemical alterations of the complex layered system. SEM/EDX combined with XPS were chosen as an appropriate methodical approach to characterize perovskite laboratory cells in depth and at surface, before and after light exposure. The layered perovskite system investigated here is based on glass covered with fluorine doped tin oxide (FTO), followed by thin films of TiO2, ZrO2 and a thick monolithic carbon. TiO2 film is subdivided into a dense layer covered by porous one constituted of nanoparticles (NPs) of truncated bipyramidal shape. This layered system serves as the matrix for the perovskite. EDX spectral maps on cross-sections of specimen have shown that Pb and I are distributed homogeneously throughout the porous layers C, ZrO2 and TiO2. SEM/EDX data show that 20 weeks of ambient daylight did not change significantly the indepth distribution of the elemental composition of Pb and I throughout the entire solar cell system. It was confirmed with EDX that NPs identified in high-resolution SEM micrographs contain mainly Pb and I, indicating these to be the perovskite crystals. However, a compositional and chemical altering began in the near-surface region of the outermost ~10 nm after 2 months of illumination which was observed with XPS.