Spectroscopic interpretation of PAH-spectra in minerals and its possible application to soil monitoring.

In order to properly assess the feasibility of using Laser-Induced Fluorescence (LIF) spectroscopy for soil monitoring, the variation of fluorescence intensity due to the heterogeneity and complexity of soil media was investigated. Different soil minerals showed fluorescence spectral structures distinguishable from the contaminants, implying dissimilar interactions or the binding of contaminants on mineral surfaces. More interestingly, solvent and water addition showed different responses in the fluorescence spectral structure showing their effect on the interactions between contaminants and minerals.

Resonance spectrum and dissociation dynamics of ozone in the 3B2 electronically excited state: experiment and theory.

The rovibrational spectrum assigned to the low-lying (3)B(2) electronic state of ozone is measured with intracavity laser absorption spectroscopy. The experimental results are interpreted by means of quantum dynamical calculations on a global ab initio potential energy surface. The observed spectrum is shown to originate from the vibrational ground state in the local minimum of the (3)B(2) potential.

Remediation process monitoring of PAH-contaminated soils using laser-induced fluorescence.

In order to investigate the feasibility of Laser-Induced Fluorescence (LIF) for soil remediation process monitoring, the variation in the LIF intensity was studied, in relation to the moisture content and soil particle size distribution for different soil conditions. For each set of conditions, significant correlation was shown between the level of Polycyclic Aromatic Hydrocarbon (PAH) and the LIF intensity (R2 > 0.97).

[Comparative observations of internal and external quality controls in the districts of Neubrandenburg and Rostock].

A useful combination of results from internal quality control and external quality assessment is possible only if the statistical procedures of both systems involve the same limits to accept control data. These limits are shown. For 45 laboratories expected quality groups QG-T are calculated from results of internal quality control.