Optimization of Fluorescence Labeling of Trace Analytes: Application to Amino Acid Biosignature Detection with...

Fluorescence labeling of biomolecules and fluorescence detection platforms provide a powerful approach to high-sensitivity bioanalysis. Reactive probes can be chosen to target specific functional groups to enable selective analysis of a chosen class of analytes. Particularly, when targeting trace levels of analytes, it is important to optimize the reaction chemistry to maximize the labeling efficiency and minimize the background. Here, we develop methods to optimize the labeling and detection of Pacific Blue (PB)-tagged amino acids. A model is developed to quantitate labeling kinetics and completeness in the circumstance where analyte labeling and reactive probe hydrolysis are in competition. The rates of PB hydrolysis and amino acid labeling are determined as a function of pH. Labeling kinetics and completeness as a function of PB concentration are found to depend on the ratio of the hydrolysis time to the initial labeling time, which depends on the initial PB concentration. Finally, the optimized labeling and detection conditions are used to perform capillary electrophoresis analysis demonstrating 100 pM sensitivities and high-efficiency separations of an 11 amino acid test set. This work provides a quantitative optimization model that is applicable to a variety of reactive probes and targets. Our approach is particularly useful for the analysis of trace amine and amino acid biosignatures in extraterrestrial samples. For illustration, our optimized conditions (reaction at 4 °C in a pH 8.5 buffer) are used to detect trace amino acid analytes at the 100 pM level in an Antarctic ice core sample.