Publication
Saliva Biofluid Screening of Potential Stress Biomarkers for Health Diagnosis
| Summary: | Nowadays, biomarkers are widely used for diagnosis, allowing information about human health and well-being. In addition to blood, other fluids have been the subject of interest, such as sweat, tears and saliva, as they are less invasive and more practical methods. For biochemical evaluations, saliva represents an attractive medium, but still relatively little explored, and therefore time should be devoted to its study. The main objective of the project is to identify potential non-protein salivary biomarkers useful for the assessment of human health, more specifically with regard to stress monitoring. A set of 11 small molecules (acetylcholine, dopamine, epinephrine, norepinephrine, glutamic acid, serotonin, tyrosine, tryptophan, ascorbic acid, lactic acid, and cortisol) was selected for their po- tential as relevant biomarkers for identifying stress in humans. These molecules were analysed using analytical chromatographic tools, specifically the liquid chromatography coupled with TANDEM mass spectrometry. To determine which of these molecules could be identified in saliva, samples were col- lected from 24 healthy individuals, comprising 12 men and 12 women under the age of 30. The samples were analysed using LC-MS/MS, successfully identifying and quantifying acetylcholine, dopamine, epinephrine, norepinephrine, glutamic acid, tyrosine, tryptophan, ascorbic acid, and cortisol in saliva. Lactic acid could not be quantified due to sampling limitations. Electrochemical analysis of the saliva samples was also performed using screen-printed elec- trodes (SPEs) and the techniques of cyclic voltammetry (CV) and differential pulse voltammetry (DPV), allowing the identification of three regions where the biomarkers under study could be detected. The pH of the samples was also measured. |
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| Main Authors: | Vieira, Rute Alexandra Abrantes |
| Subject: | Biomarkers saliva stress LC-MS/MS electrochemical techniques biosensor |
| Year: | 2024 |
| Country: | Portugal |
| Document type: | master thesis |
| Access type: | open access |
| Associated institution: | Universidade Nova de Lisboa |
| Language: | English |
| Origin: | Repositório Institucional da UNL |
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