Reliable chiral recognition with an optoelectronic nose

Pierre Maho (1) , Cyril Herrier (2) , Thierry Livache (2) , Guillaume Rolland (2) , Pierre Comon (1) , Simon Barthelme (1)

1 GIPSA-GAIA - GIPSA Pôle Géométrie, Apprentissage, Information et Algorithmes
2 Aryballe

Chiral discrimination is a key problem in analytical chemistry. It is generally performed using expensive instruments or highly-specific miniaturized sensors. An electronic nose is a bio-inspired instrument capable after training of discriminating a wide variety of analytes. However, generality is achieved at the cost of specificity which makes chiral recognition a challenging task for this kind of device. Recently, a peptide-based optoelectronic nose which can board up to hundreds of different sensing materials has shown promising results, especially in terms of specificity. In line with these results, we describe here its use for chiral recognition. This challenging task requires care, especially in terms of statistical and experimental bias. For these reasons , we set up an automatic gas sampling system and recorded data over two long sessions, taking care to exclude possible confounds. Two couples of chiral molecules, namely (R) and (S) limonene and (R) and (S) carvone, were tested and several statistical analyses indicate the almost perfect discrimination of their two enantiomers. A method to highlight discriminative sensing materials is also proposed and shows that successful discrimination is likely achieved using just a few peptides.

Mots clés: peptides; electronic noses; chirality; enantioselectivity; surface plasmon resonance imaging

Domaines: Traitement du signal et de l'image [eess.SP]; Sciences de l'ingénieur [physics]; Chimie

Pierre Maho, Cyril Herrier, Thierry Livache, Guillaume Rolland, Pierre Comon, et al.. Reliable chiral recognition with an optoelectronic nose. Biosensors and Bioelectronics, 2020, 159 (July), pp.112183. ⟨10.1016/j.bios.2020.112183⟩. ⟨hal-02534216v2⟩