Literature DB >> 36157103

Engineered Electroactive Solutions for Electrochemical Detection of Tuberculosis-Associated Volatile Organic Biomarkers.

Christina N Willis1, Shaylee R Larson1, Alfred Andama2, Devan Jaganath3, Manoranjan Misra4, Adithya Cattamanchi5, Swomitra K Mohanty4.   

Abstract

Rapid screening of tuberculosis by evaluation of associated volatile organic biomarkers in breath is a promising technology that is significantly faster and more convenient than traditional sputum culture tests. Methyl nicotinate (MN) and methyl p-anisate (MPA) have been isolated as potential biomarkers for mycobacterium tuberculosis and have been found in the breath of patients with active pulmonary tuberculosis. A novel approach to detection of these biomarkers in liquid droplets (e.g. from breath condensate) using inexpensive screen-printed electrodes is presented. Previous modelling studies suggest that these biomarkers complex with certain transition metals of particular valence state. This interaction can be exploited by mixing the biomarker sample into an electroactive solution (EAS) containing the functional metal ion and observing the change electrochemically. The study focuses on low biomarker concentrations, determined to be clinically relevant based on preliminary GC-MS studies of the levels found in patient breath. It was found that both the cyclic voltammogram and square wave voltammogram of copper(II) change significantly when as little as 0.1 mM MN is added to the solution, with analysis times of less than 2 min. Copper(II) exhibits three separate peaks during square wave voltammetry. The location and area of each peak are affected differently as the concentration of MN increases, suggesting a reaction with specific oxidation states of the metal. In this way, a "fingerprint" method can be used to identify biomarkers once their known interaction is established.

Entities:  

Keywords:  Breath Biomarkers; Electrochemical Sensors; Point-of-care Diagnostics; Translational Medicine

Year:  2021        PMID: 36157103      PMCID: PMC9495895          DOI: 10.1109/jsen.2021.3126732

Source DB:  PubMed          Journal:  IEEE Sens J        ISSN: 1530-437X            Impact factor:   4.325


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Journal:  EBioMedicine       Date:  2019-08-08       Impact factor: 8.143

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Authors:  Kim D G van de Kant; Linda J T M van der Sande; Quirijn Jöbsis; Onno C P van Schayck; Edward Dompeling
Journal:  Respir Res       Date:  2012-12-21
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