Precision spectroscopy on 9Be overcomes limitations from nuclear structure.

Many powerful tests of the standard model of particle physics and searches for new physics with precision atomic spectroscopy are hindered by our lack of knowledge of nuclear properties. Ideally, these properties may be derived from precise measurements of the most sensitive and theoretically best-understood observables, often found in hydrogen-like systems. Although these measurements are abundant for the electric properties of nuclei, they are scarce for the magnetic properties, and precise experimental results are limited to the lightest of nuclei1-4. Here we focus on 9Be, which offers the unique possibility to use comparisons between different charge states available for high-precision spectroscopy in Penning traps to test theoretical calculations typically obscured by nuclear structure. In particular, we perform high-precision spectroscopy of the 1s hyperfine and Zeeman structure in hydrogen-like 9Be3+. We determine the effective Zemach radius with an uncertainty of 500 ppm, and the bare nuclear magnetic moment with an uncertainty of 0.6 parts per billion- uncertainties unmatched beyond hydrogen. Moreover, we compare our measurements with the measurements conducted on the three-electron charge state 9Be+ (ref. 5), which enables testing the calculation of multi-electron diamagnetic shielding effects of the nuclear magnetic moment at the parts per billion level. Furthermore, we test the quantum electrodynamics methods used for the calculation of the hyperfine splitting. Our results serve as a crucial benchmark for transferring high-precision results of nuclear magnetic properties across different electronic configurations.

Custom chemical microarray production and affinity fingerprinting for the S1 pocket of factor VIIa.

The goal of this study was to explore the applicability of surface plasmon resonance (SPR)-based fragment screening to identify compounds that bind to factor VIIa (FVIIa). Based on pharmacophore models virtual screening approaches, we selected fragments anticipated to have a reasonable chance of binding to the S1-binding pocket of FVIIa and immobilized these compounds on microarrays. In affinity fingerprinting experiments, a number of compounds were identified to be specifically interacting with FVIIa and shown to fall into four structural classes. The results demonstrate that the chemical microarray technology platform using SPR detection generates unique chemobiological information that is useful for de novo discovery and lead development and allows the detection of weak interactions with ligands of low molecular weight.