One of the most coveted objectives for healthcare research in recent years has been the ability to evaluate physiological states, track illness development and progression, and track post-treatment therapeutic outcomes using a non-invasive method. In this sense, saliva analysis can be viewed as a very intriguing biological matrix for general health and disease surveillance. Salivary levels of potentially significant indicators rise during both local and systemic inflammation. In this study, a very sensitive biosensor for TNF- \(\alpha \) detection in human saliva was created. In order to increase detection sensitivity, decrease analysis times, and concurrently detect various cytokine indicators, fully integrated electrochemical immuno-sensors platform was developed. Then, TNF- \(\alpha \) was identified using a sandwich-type detection method in a TMB solution employing the labeled antibody Ab-TNF-HRP activity. By analyzing solutions containing potential salivary interferences, such as interleukin-10 (IL-10) and the hormone cortisol, which are both released during the acute stage of inflammation, the immune-specificity sensor’s was examined in the ideal experimental conditions. With a limit of detection (LOD) of 1 pg ml \(^{-1}\) , the developed immuno-sensors shown good performance for Ag-TNF-cytokine chrono-amperometric detection in the range of 1 pg ml \(^{-1}\) to 30 pg ml \(^{-1}\) . In second step, using eight gold-working microelectrodes (WE). Through functionalization with carboxyl diazonium, the monoclonal antibodies (mAb) anti-human tumor necrosis factor-alpha (anti-TNF- \(\alpha \) ) were bound onto gold WE. TNF- \(\alpha \) cytokines were examined in PBS buffer, synthetic saliva, and actual human saliva in the \(1-100\) pg ml \(^{-1}\) range, which is the important range for heart failure patients. The initial preliminary findings from EIS studies of human saliva produced a result 3.1 pg ml \(^{-1}\) , which is quite encouraging for quick cytokine detection analysis.

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Detection of Tumor Necrosis Factor (TNF \(\alpha \) ) in Artificial and Human Saliva Using a Different Gold Substrates: Heart Failure

  • Lassaad Barhoumi

摘要

One of the most coveted objectives for healthcare research in recent years has been the ability to evaluate physiological states, track illness development and progression, and track post-treatment therapeutic outcomes using a non-invasive method. In this sense, saliva analysis can be viewed as a very intriguing biological matrix for general health and disease surveillance. Salivary levels of potentially significant indicators rise during both local and systemic inflammation. In this study, a very sensitive biosensor for TNF- \(\alpha \) detection in human saliva was created. In order to increase detection sensitivity, decrease analysis times, and concurrently detect various cytokine indicators, fully integrated electrochemical immuno-sensors platform was developed. Then, TNF- \(\alpha \) was identified using a sandwich-type detection method in a TMB solution employing the labeled antibody Ab-TNF-HRP activity. By analyzing solutions containing potential salivary interferences, such as interleukin-10 (IL-10) and the hormone cortisol, which are both released during the acute stage of inflammation, the immune-specificity sensor’s was examined in the ideal experimental conditions. With a limit of detection (LOD) of 1 pg ml \(^{-1}\) , the developed immuno-sensors shown good performance for Ag-TNF-cytokine chrono-amperometric detection in the range of 1 pg ml \(^{-1}\) to 30 pg ml \(^{-1}\) . In second step, using eight gold-working microelectrodes (WE). Through functionalization with carboxyl diazonium, the monoclonal antibodies (mAb) anti-human tumor necrosis factor-alpha (anti-TNF- \(\alpha \) ) were bound onto gold WE. TNF- \(\alpha \) cytokines were examined in PBS buffer, synthetic saliva, and actual human saliva in the \(1-100\) pg ml \(^{-1}\) range, which is the important range for heart failure patients. The initial preliminary findings from EIS studies of human saliva produced a result 3.1 pg ml \(^{-1}\) , which is quite encouraging for quick cytokine detection analysis.