Real-time protein aggregation monitoring with a Bloch surface wave-based approach

Sara Santi; Elsie Barakat; Emiliano Descrovi; Reinhard Neier; Hans Peter Herzig

doi:10.1117/12.2052842

8 May 2014 Real-time protein aggregation monitoring with a Bloch surface wave-based approach

Sara Santi, Elsie Barakat, Emiliano Descrovi, Reinhard Neier, Hans Peter Herzig

Proceedings Volume 9129, Biophotonics: Photonic Solutions for Better Health Care IV; 912918 (2014) https://doi.org/10.1117/12.2052842
Event: SPIE Photonics Europe, 2014, Brussels, Belgium

Abstract

The misfolding and aggregation of amyloid proteins has been associated with incurable diseases such as Alzheimer's or Parkinson's disease. In the specific case of Alzheimer's disease, recent studies have shown that cell toxicity is caused by soluble oligomeric forms of aggregates appearing in the early stages of aggregation, rather than by insoluble fibrils. Research on new strategies of diagnosis is imperative to detect the disease prior to the onset of clinical symptoms. Here, we propose the use of an optical method for protein aggregation dynamic studies using a Bloch surface wave based approach. A one dimension photonic crystal made of a periodic stack of silicon oxide and silicon nitride layers is used to excite a Bloch surface wave, which is sensitive to variation of the refractive index of an aqueous solution. The aim is to detect the early dynamic events of protein aggregation and fibrillogenesis of the amyloid-beta peptide Aβ42, which plays a central role in the onset of the Alzheimer’s disease. The detection principle relies on the refractive index changes caused by the depletion of the Aβ42 monomer concentration during oligomerization and fibrillization. We demonstrate the efficacy of the Bloch surface wave approach by monitoring in real-time the first crucial steps of Aβ42 oligomerization.

Citation Download Citation

Sara Santi, Elsie Barakat, Emiliano Descrovi, Reinhard Neier, and Hans Peter Herzig "Real-time protein aggregation monitoring with a Bloch surface wave-based approach", Proc. SPIE 9129, Biophotonics: Photonic Solutions for Better Health Care IV, 912918 (8 May 2014); https://doi.org/10.1117/12.2052842

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