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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.
Multivariate data analysis is a universal tool for the evaluation of process spectroscopic data. In process analytics, huge amounts of information are produced i) by the many variables contained in one spectrum often exceeding 1000 (wavenumbers, wavelength, shifts…), and ii) the high number of spectra that is generated within the measurement period. Multivariate data analysis, often also called Chemometrics, help to extract the relevant information which is needed to examine and even control processes. Therefore, calibration models must be precise and robust, and moreover, must cover a wide range of variation of factors posing an influence on the process.
In this pre-conference course an introduction to both, explorative data analysis by PCA (Principal Component Analysis), and regression analysis by the most frequently used method, i.e. PLSR (Partial Least Squares Regression) is given. In principal, all optical spectroscopic methods are suited for multivariate evaluation. It will be demonstrated that under certain preconditions, even process NMR spectra can be predicted by PLSR models.
At first, basic principles of multivariate data analysis will be provided. This includes a short introduction into the concept of model building and interpretation of results. Detailed aspects of data pretreatment and calibration & validation strategies for chemometric models will be provided with own data from NIR, Raman and NMR spectroscopy.
In a first example, the development of an online compatible method for the quantification of methanol in biodiesel by PLSR is presented. This also includes the classification of biodiesel feedstocks by PCA and statistical tools which allow for the estimation of a full uncertainty budget.
The Raman spectroscopic prediction of Hydroformylation reaction in a miniplant is used to discuss shortcomings and pitfalls which may occur with the transfer of off-line models to the real processes. Design of experiment and strategies for suitable lab-scale experiments are presented as a possible way to overcome problems.
In a third application the prediction of the reactants of an esterification reaction based on process NMR data is demonstrated.
Besides their plasticizing effect, superplasticizers (SPs) are known to retard the hydration of inorganic systems such as cement. Despite their frequent use, the understanding of these highly complex systems is still limited and the relevant parameters, which control the interaction between SPs, and cement components and reaction products are in the focus of ongoing research activities.[1] Optical methods have been successfully used for the analysis and monitoring of the interactions between a broad variety of nanoscale and molecular systems like nanoparticles of various chemical composition and different types of organic ligands or biomolecules. The potential of these methods to study processes at the interface between (hydrated) particles and the fluid phase at a very early stage of concrete formation could reveal possible mechanisms of interaction.
This investigation focuses on the study of organic/inorganic mixtures consisting of cement (CEM) and cement phases (C3S and C3A) in the presence of polycarboxylate ether and organic dyes in aqueous solution (particularly alkali resistant dyes) at a water to powder ratio of 1. Diffuse reflectance as well as steady state and time resolved fluorescence spectroscopy of the above mentioned mixtures were evaluated. Based upon changes of the intensity of the reflectance and fluorescence signal and spectral changes of the dye, acting as optical reporter, a model for the interactions of dye, PCE and cement (including different cement phases) was derived which describes the very first stage of cement hydration.