Aqueous two-phase systems evolved double-layer film for enzymatic activity preservation: A universal protein storage strategy for paper based microdevice

Amplification-Free Digital Immunoassay down to the Attomolar Level by Synergistic Sedimentation of Brownian Motion Suppression and Dehydration Transfer

Amplification-free digital immunoassays (DIAs) typically utilize optical nanoparticles to enhance single immunocomplex molecule detection. The efficiency and uniformity of transferring the nanoparticles from a bulk solution to a solid surface determine the limit of detection (LOD) and the accuracy of DIAs. Previous methods suffer from issues like low efficiency, nonuniform distribution, and particle aggregation. Here, we present a novel technique named synergistic sedimentation of Brownian motion suppression and dehydration transfer (SynSed) for nanoparticles using water-soluble polymers. The efficiency of transferring quantum dots (QDs) was increased from 10.7 to 91.4%, and the variation in QD distribution was restricted to 8.8%. By incorporating SynSed into DIAs, we achieved a remarkable reduction in the LOD (down to 3.9 aM) for carcinoembryonic antigen and expanded the dynamic range to cover 3 orders of magnitude in concentration, ranging from 0.01 to 10 fM. DIAs enhanced with SynSed possess ultrahigh sensitivity, advanced accuracy, and specificity, offering a great premise in early disease diagnostics, risk stratification, and treatment response monitoring.

Leveraging liquid-liquid phase separation and volume modulation to regulate the enzymatic activity of formate dehydrogenase

Engineering of reaction media is an exciting alternative for modulating kinetic properties of biocatalytic reactions. We addressed the combined effect of an aqueous two-phase system (ATPS) and high hydrostatic pressure on the kinetics of the Candida boidinii formate dehydrogenase-catalyzed oxidation of formate to CO2. Pressurization was found to lead to an increase of the binding affinity (decrease of KM, respectively) and a decrease of the turnover number, kcat. The experimental approach was supported using thermodynamic modeling with the electrolyte Perturbed-Chain Statistical Associating Fluid Theory (ePC-SAFT) equation of state to predict the liquid-liquid phase separation and the molecular crowding effect of the ATPS on the kinetic properties. The ePC-SAFT was able to quantitatively predict the KM-values of the substrate in both phases at 1 bar as well as up to a pressure of 1000 bar. The framework presented enables significant advances in bioprocess engineering, including the design of processes with significantly fewer experiments and trial-and-error approaches.