Identification and optimization of regeneration conditions for affinity-based biosensor assays. A multivariate cocktail approach.

A general regeneration, identification, and optimization (RO) protocol for Biacore systems was developed. The RO protocol uses six multi-ingredient stock solutions that represent the six most common chemical properties employed as regeneration agents. The regeneration effect of different regeneration cocktails of these six stock solutions were tested iteratively until a satisfactory result was obtained. The RO protocol was designed with an ease-of-use and multivariate approach. The RO protocol was tested on 13 different antibody-antigen systems. For 10 of these, only the first screening session was tested. For 9 of the 13 systems, the RO-protocol screening session identified cocktails that removed more than 90% of the bound analyte in a 30 s pulse. For 5 systems, the RO protocol identified cocktails that regenerated the surface completely and that were more gentle than previously used regeneration conditions. Furthermore, the regeneration optimization results can be interpreted as a characterization of the interacting molecules. The relevance of testing cocktails was justified by the fact that at least one cocktail was significantly better than all diluted stock solutions for all tested model systems. By using the multivariate approach, the risk of missing relevant combinations of stock solutions was minimized. This resulted in an unexpected discovery of excellent properties of EDTA as an additive in regeneration cocktails containing chaotropic agents and ions in high concentration.