Assessment of metal ion concentration in water with structured feature selection.

We propose a cost-effective system for the determination of metal ion concentration in water, addressing a central issue in water resources management. The system combines novel luminometric label array technology with a machine learning algorithm that selects a minimal number of array reagents (modulators) and liquid sample dilutions, such that enable accurate quantification. The algorithm is able to identify the optimal modulators and sample dilutions leading to cost reductions since less manual labour and resources are needed.

Luminometric Nanoparticle-Based Assay for High Sensitivity Detection of β-Amyloid Aggregation.

A nanoparticle-based assay utilizing time-resolved luminescence resonance energy transfer (TR-LRET) was developed for the detection of β-amyloid aggregation. The assay is based on the competitive adsorption of the sample and the acceptor-labeled protein to donor europium(III) polystyrene nanoparticles. The performance of the assay was demonstrated by following the fibrillization of β-amyloid peptide 1-42 (Aβ) as a function of time and by comparing to the reference methods atomic force microscopy (AFM) and thioflavin T (ThT) assay.

Luminometric Label Array for Counting and Differentiation of Bacteria.

Methods for simple and fast detection and differentiation of bacterial species are required, for instance, in medicine, water quality monitoring, and the food industry. Here, we have developed a novel label array method for the counting and differentiation of bacterial species. This method is based on the nonspecific interactions of multiple unstable lanthanide chelates and selected chemicals within the sample leading to a luminescence signal profile that is unique to the bacterial species.

Nonspecific luminometric assay for monitoring protein adsorption efficiency and coverage on nanoparticles.

Nonspecific assays utilizing time-resolved luminescence resonance energy transfer (TR-LRET) are developed for two applications: to monitor protein adsorption efficiency and to assess the degree of surface coverage on the solid phase. We successfully measure the adsorption efficiency of non-sedimenting nanoparticles since this has been notoriously difficult to determine. Monitoring of the protein adsorption on nanoparticles does not require the nanoparticles with the adsorbed protein to be washed and it is based on the competitive adsorption between the non-adsorbed analyte protein and the acceptor-labeled protein to donor europium(iii) polystyrene nanoparticles.

Luminometric Label Array for Quantification and Identification of Metal Ions.

Quantification and identification of metal ions has gained interest in drinking water and environmental analyses. We have developed a novel label array method for the quantification and identification of metal ions in drinking water. This simple ready-to-go method is based on the nonspecific interactions of multiple unstable lanthanide chelates and nonantenna ligands with sample leading to a luminescence signal profile, unique to the sample components.