Rapid Measurement of Lactate in the Exhaled Breath Condensate: Biosensor Optimization and In-Human Proof of Concept.



Zhang, Shulin ORCID: 0000-0003-4011-9164, Chen, Yu-Chih, Riezk, Alaa, Ming, Damien, Tsvik, Lidiia ORCID: 0000-0002-0339-3378, Sützl, Leander ORCID: 0000-0002-8889-2343, Holmes, Alison ORCID: 0000-0001-5554-5743 and O'Hare, Danny ORCID: 0000-0002-0820-2999
(2022) Rapid Measurement of Lactate in the Exhaled Breath Condensate: Biosensor Optimization and In-Human Proof of Concept. ACS sensors, 7 (12). pp. 3809-3816.

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Abstract

Lactate concentration is of increasing interest as a diagnostic for sepsis, septic shock, and trauma. Compared with the traditional blood sample media, the exhaled breath condensate (EBC) has the advantages of non-invasiveness and higher user acceptance. An amperometric biosensor was developed and its application in EBC lactate detection was investigated in this paper. The sensor was modified with PEDOT:PSS-PB, and two different lactate oxidases (LODs). A rotating disk electrode and Koutecky-Levich analysis were applied for the kinetics analysis and gel optimization. The optimized gel formulation was then tested on disposable screen-printed sensors. The disposable sensors exhibited good performance and presented a high stability for both LOD modifications. Finally, human EBC analysis was conducted from a healthy subject at rest and after 30 min of intense aerobic cycling exercise. The sensor coulometric measurements showed good agreement with fluorometric and triple quadrupole liquid chromatography mass spectrometry reference methods. The EBC lactate concentration increased from 22.5 μM (at rest) to 28.0 μM (after 30 min of cycling) and dropped back to 5.3 μM after 60 min of rest.

Item Type: Article
Uncontrolled Keywords: Humans, Lactic Acid, Breath Tests, Biosensing Techniques, Mass Spectrometry
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User: Symplectic Admin
Date Deposited: 28 Mar 2023 14:25
Last Modified: 28 Mar 2023 14:26
DOI: 10.1021/acssensors.2c01739
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3169320