Enantioanalysis of Aspartic Acid Using 3D Stochastic Sensors

Mihaela Iuliana Bogeaa Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, Bucharest, Romania; ;b Faculty of Applied Chemistry and Material Science, Politehnica University of Bucharest, Bucharest, Romania

Raluca-Ioana Stefan-van Stadena Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, Bucharest, Romania; ;b Faculty of Applied Chemistry and Material Science, Politehnica University of Bucharest, Bucharest, RomaniaCorrespondence[email protected]

https://orcid.org/0000-0001-8244-2483

Damaris-Cristina Gheorghea Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, Bucharest, Romania;

Ruxandra-Maria Ilie-Mihaia Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, Bucharest, Romania; Correspondence[email protected] [email protected]

Abstract

Enantioanalysis of aspartic acid is of high importance for the metabolomics involved in gastric cancer. Therefore, two 3D stochastic sensors based on sulfur-doped graphene modified with protoporphyrin IX are reported for the enantioanalysis of aspartic acid. The 3D stochastic sensors were enantioselective with high sensitivity (the highest 10¹¹ and 10⁸ s⁻¹/mol L⁻¹ for l‐ and d-aspartic acid) and limits of quantification of 1 fmol L⁻¹ and 1 pmol L⁻¹ for l‐ and d-aspartic acids. The whole blood screening method based on utilization of the 3D stochastic sensors was validated using blood collected from healthy people and from patients with confirmed gastric cancer. Recoveries higher than 98.00% were recorded for enantioanalysis of aspartic acid in whole blood.

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Enantioanalysis of Aspartic Acid Using 3D Stochastic Sensors

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Enantioanalysis of Aspartic Acid Using 3D Stochastic Sensors

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