EventsThe 20th International Electronic Conference on Synthetic Organic Chemistry
Published
This submission belongs to the session e. Computational Chemistry of the event The 20th International Electronic Conference on Synthetic Organic Chemistry
Published date
01 Nov, 2016
Citation
Álvaro Antelo, Veronica Rey, Mercedes Álvarez, Ana M. Botana, Luis M. Botana, Computational model of adsorption for paralytic shellfish poisoning toxins (PSTs) on graphene surface., in Proceedings of The 20th International Electronic Conference on Synthetic Organic Chemistry, 1 November–30 November 2016, MDPI: Basel, Switzerland, doi: 10.3390/ecsoc-20-e006
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Computational model of adsorption for paralytic shellfish poisoning toxins (PSTs) on graphene surface.

Mercedes Álvarez 1
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1. CIFGA S.A., Plaza Santo Domingo 20-5ª, Lugo 27001, Spain
2. Department Analytical Chemistry, Faculty of Sciences, University of Santiago de Compostela, Lugo 27002, Spain
3. Department Pharmacology, Veterinary Faculty, University of Santiago de Compostela, Lugo 27002, Spain
Abstract

Paralytic Shellfish Toxins (PSTs) are polar analytes, most of them with positive charges resulting in a charge-induced dipole at the graphene surface when they approach to it. Graphene is a novel material with great potentials to be used as sorbent due to its ultrahigh surface area. Herein, we perform the simulation about the retention mechanism of PSTs on the graphene through Merck Molecular Force Field (MMFF94) minimizations. The overall retention on graphene is a combination of two mechanisms:

- Adsorption: The strength of analyte interactions with graphene is largely dependent on the molecular area in contact with the graphene surface, and also on the type and positioning of the functional groups in relation to the graphene surface at the points of contact.

- Charge induced interactions of a polar analyte with the polarizable surface of graphene: when the polar group with apermanent dipole approaches the surface, an induced dipole is formed, increasing the attraction between the analyte and graphene surface.

Computational results were compared with those obtained after elution using a HPLC-Hypercarb column: they showed a good correlation pattern where it was seen that the theoretical model exhibited the potential of graphene as an excellent sorbent material for saxitoxin and analogues.

Hypercarb model: elution order: (shorter retention time) dcSTX < NEO < STX < GTX5 < GTX3 < C2 < GTX2 < C1 (longer retention time).

Merck Molecular Force Field (MMFF94) model, interaction energy values order: (minor complex energy) dcSTX < STX < NEO < GTX5 < GTX3 < GTX2 < C2 < C1 (mayor complex energy)

Keywords
paralytic shellfish poisoning toxins
saxitoxin
graphene
hypercarb
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