Ismaël Conejero

The paper evaluates matrix effects on cell-free biosensor performance in clinical samples and introduces a method to mitigate these effects using a modified RNase inhibitor.

This paper develops a method to detect gut metabolites in human fecal samples using bacterial biosensors, showing their sensitivity and the need for individual optimization.

This paper introduces a synthetic receptor platform for detecting liver dysfunction biomarkers using engineered bacteria, achieving sensitive and portable diagnostics.

This paper introduces hybrid cell-free biosensors that expand the range of detectable chemicals by combining synthetic metabolic cascades with transcription factor-based networks.