Reinvestigation of the method used to map the electronic structure of blue copper proteins by NMR relaxation.

A previous method for mapping the electron spin distribution in blue copper proteins by paramagnetic nuclear magnetic resonance (NMR) relaxation (Hansen DF, Led JJ, 2004, J Am Chem Soc 126:1247-1253) suggested that the blue copper site of plastocyanin from Anabaena variabilis (A.v.) is less covalent than those found for other plastocyanins by other experimental methods, such as X-ray absorption spectroscopy. Here, a detailed spectroscopic study revealed that the electronic structure of A.v. plastocyanin is similar to those of other plastocyanins. Therefore, the NMR approach was reinvestigated using a more accurate geometric structure as the basis for the mapping, in contrast to the previous approach, as well as a more complete spin distribution model including Gaussian-type natural atomic orbitals instead of Slater-type hydrogen-like atomic orbitals. The refinement results in a good agreement between the electron spin density derived from paramagnetic NMR and the electronic structure description obtained by the other experimental methods. The refined approach was evaluated against density functional theory (DFT) calculations on a model complex of the metal site of plastocyanin in the crystal phase. In general, the agreement between the experimental paramagnetic relaxation rates and the corresponding rates obtained by the DFT calculations is good. Small deviations are attributed to minor differences between the solution structure and the crystal structure outside the first coordination sphere. Overall, the refined approach provides a complementary experimental method for determining the electronic structure of paramagnetic metalloproteins, provided that an accurate geometric structure is available.

Exploratory multivariate spectroscopic study on human skin.

BACKGROUND/AIMS: Spectroscopy on human skin is a field that is being adopted increasingly because of its rapidity and high reproducibility. Infrared reflectance (IR), near-infrared reflectance (NIR), and fluorescence spectroscopy have previously been applied to human skin in vivo to compare healthy and sick skin, including skin cancer, atopy, and leprosy. Exploratory data analysis/chemometrics is a tool for evaluating multivariate data such as spectroscopic measurements. The objective of this study was to explore the spectral variance spanned by people with normal integument, and to demonstrate the advantages of multivariate analysis to skin research. METHODS: IR, NIR and fluorescence spectroscopy have been carried out in vivo on 216 volunteers' forearms before and after four tape strippings. The subjects were asked to fill in a questionnaire regarding factors suspected to influence the measurement results. Principal Component Analysis (PCA) was used to investigate whether the population can be divided into groups on the basis of their skin chemistry. Unless otherwise stated, the results are from the measurements prior to stripping. RESULTS: In contrast to IR and fluorescence spectra, NIR spectra proved able to detect gender differences. By use of PCA, classifications on male and female subjects were observed from the IR and NIR measurements, and as an indication from the fluorescence measurements. The NIR and fluorescence measurements varied between elderly and young subjects. The largest variance in the fluorescence landscapes was seen between pigmented and non-pigmented skin. No connection was found between the spectroscopic measurements and smoking or drinking habits. CONCLUSIONS: Future spectroscopic skin investigations should be balanced as regards to gender and age, as these can possibly affect the measurement results. Chemometrics proved to be superior to traditional attempts of interpreting the spectra.