Our group has previously developed immunoassays for noncompetitive detection of small molecules based on the use of phage borne anti-immunocomplex peptides. Recently, we substituted the phage particles by biotinylated synthetic anti-immunocomplex peptides complexed with streptavidin and named these constructs nanopeptamers. In this work, we report the results of combining AlphaLisa, a commercial luminescent oxygen channeling bead system, with nanopeptamers for the development of a noncompetitive homogeneous assay for the detection of small molecules. The signal generation of AlphaLisa assays relies on acceptor-donor bead proximity induced by the presence of the analyte (a macromolecule) simultaneously bound by antibodies immobilized on the surface of these beads. In the developed assay, termed as nanoAlphaLisa, bead proximity is sustained by the presence of a small model molecule (atrazine, MW = 215) using an antiatrazine antibody captured on the acceptor bead and an atrazine nanopeptamer on the donor bead. Atrazine is one of the most used pesticides worldwide, and its monitoring in water has relevant human health implications. NanoAlphaLisa allowed the homogeneous detection of atrazine down to 0.3 ng/mL in undiluted water samples in 1 h, which is 10-fold below the accepted limit in drinking water. NanoAlphaLisa has the intrinsic advantages for automation and high-throughput, simple, and fast homogeneous detection of target analytes that AlphaLisa assay provides.

Peptides isolated from phage display libraries are powerful reagents for small-molecule immunoassay; however, their application as phage-borne peptides is significantly limited by the biological nature of the phage. Here, we present the use of lysine scaffold to prepare a series of different valence peptides to serve as replacements for phage-borne peptides. Benzothiostrobin was selected as a model analyte, the cyclic benzothiostrobin-peptidomimetic in the form of monomer, dendrimer-like dimer, and tetramer were designed and synthesized. Compared with the monomer, the affinity of dendrimer-like dimer and tetramer increased 1.87 and 13.6 times, respectively, as determined by isothermal titration calorimetry (ITC). A novel inner filter effect immunoassay (IFE-IA) with positive readout was developed for benzothiostrobin detection utilizing the peptidomimetics attached to upconversion nanoparticles (UCNPs) as energy donor and monoclonal antibody (mAb)-labeled urchin-like gold nanoflowers (AuNFs) as energy absorber, respectively. The sensitivity of the assay based on dendrimer-like tetramer was approximately 6 and 3 times higher than monomer and dendrimer-like dimer, respectively. After optimization, 50% saturation of the signal (SC₅₀) and detection range (SC₁₀ to SC₉₀) of the IFE-IA based on dendrimer-like tetramer were 11.81 ng mL^-1 and 2.04-106.17 ng mL^-1, respectively. The IFE-IA also shows good accuracy for the detection of benzothiostrobin in authentic samples.

Single domain heavychain binders (nanobodies) obtained from camelid antibody libraries hold a great promise for immunoassay development. However, there is no simple method to select the most valuable nanobodies from the crowd of positive clones obtained after the initial screening. In this paper, we describe a novel nanobody-based platform that allows comparison of the reactivity of hundreds of clones with the labeled antigen, and identifies the best nanobody pairs for two-site immunoassay development. The output clones are biotinylated in vivo in 96-well culture blocks and then used to saturate the biotin binding capacity of avidin coated wells. This standardizes the amount of captured antibody allowing their sorting by ranking their reactivity with the labeled antigen. Using human soluble epoxide hydrolase (sEH) as a model antigen, we were able to classify 96 clones in four families and confirm this classification by sequencing. This provided a criterion to select a restricted panel of five capturing antibodies and to test each of them against the rest of the 96 clones. The method constitutes a powerful tool for epitope binning, and in our case allowed development of a sandwich ELISA for sEH with a detection limit of 63 pg/mL and four log dynamic range, which performed with excellent recovery in different tissue extracts. This strategy provides a systematic way to test nanobody pairwise combinations and would have a broad utility for the development of highly sensitive sandwich immunoassays.