Biosensors: Resolving molecule information in dynamic lipid membrane with metasurfaces

In a study published in Nature Communications, researchers at Ecole Polytechnique Fédérale de Lausanne (Switzerland) and their colleagues from the USA introduce a mid-infrared biosensor based on a novel multi-resonant metasurface, which, for the first time, is able to distinguish multiple analytes in heterogeneous biological samples non-destructively, in real-time and with high sensitivity. The new sensor achieves this by accessing the distinct chemical fingerprint information of proteins, lipids, peptides, or other biochemical and allows simultaneous and independent monitoring of their interaction dynamics. In particular, the study shows that the sensor can spectroscopically resolve the interaction of biomimetic lipid membranes with different peptides as well as the dynamics of vesicular cargo release. These are biologically important mass-preserving processes that are inaccessible to standard label-free techniques, regardless of their sensitivity.

Strikingly, the sensor can resolve the interaction of lipid membranes with a toxic pore-forming peptide such as melittin, both in supported membranes and surface-tethered vesicles loaded with neurotransmitter molecules. The study shows monitoring of melittin-induced membrane disruption and neurotransmitter cargo release from such synaptic vesicle mimics in real time, with monolayer sensitivity, and without labeling. These important proof of concept experiments pave the way for applying these biosensors to investigate the molecular mechanisms underpinning important processes that have been linked to human diseases, such pore formation and membrane disruption induced by protein aggregation in neurodegenerative diseases such as Alzheimer's and Parkinson's disease.

The new biosensor represents a powerful tool for the differentiation, identification and simultaneous investigation of the interactions between different biological species in complex samples, which addresses the clear shortcomings of current label-free techniques. Furthermore, it can be implemented to analyze a multitude of multi-analyte biological systems, opening exciting avenues of applications in diverse fields ranging from fundamental biology to pharmaceutical drug development.