Chemie und Prozesstechnik
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This paper describes the development of a semi-automatic gas measurement device presenting potentially a broad range of applications, noteworthy in the agricultural sector. Non-reversible fluorescent molecular sensors were designed and syn-thesized. Upon, integration into a hydrogel matrix with an optimal ratio of co-solvents, the sensors reacting selectively to ammonia were illuminated by excitation light to produce a concentration-correlated fluorescence emission. An automated mechanical-elec-trical device initiates a given gas mixture and thus simulates con-centrations similar to a threshold value. The aim of this project is to develop a sensor or a low-cost method which can monitor low concentrations of harmful gases and aid in their elimination or regulation in livestock housing, barns or stables.
Bulk enstatite chondrites (EC) and their achondritic counterpart, the aubrites, have the lightest measured Si isotope composition of all rocks in the solar system. Some authors proposed that the enrichment of 28Si in EC metal by equilibrium or kinetic isotope fractionation processes in the solar nebula may have led to the negative δ30/28Si of bulk EC. Because EC are also depleted in refractory elements, loss of a heavy Si component with refractory elements might be an alternative explanation. To further constrain their genesis, we analysed for the first time in situ Si-isotope ratios simultaneously with major- and trace element abundances in silicate and metal phases of Sahara 97072 (EH3) and Indarch (EH4).
Monitoring chemical reactions is the key to chemical process control. Today, mainly optical online methods are applied, which require excessive calibration effort. NMR spectroscopy has a high potential for direct loop process control while exhibiting short set-up times. Compact NMR instruments make NMR spectroscopy accessible in industrial and harsh environ¬ments for advanced process monitoring and control, as demonstrated within the European Union’s Horizon 2020 project CONSENS.
We present a range of approaches for the automated spectra analysis moving from conventional multivariate statistical approach, (i.e., Partial Least Squares Regression) to physically motivated spectral models (i.e., Indirect Hard Modelling and Quantum Mechanical calculations). By using the benefits of traditional qNMR experiments data analysis models can meet the demands of the PAT community (Process Analytical Technology) regarding low calibration effort/calibration free methods, fast adaptions for new reactants or derivatives and robust automation schemes.