Electrochemical biosensor platform for TNF-α cytokines detection in both artificial and human saliva: Heart failure

Bellagambi, Francesca G.; Baraket, Abdoullatif; Longo, Alessia; Vatteroni, M.; Zine, Nadia; Bausells, Joan; Fuoco, Roger; Francesco, Fabio Di; Salvo, Pietro; Karanasiou, Georgia S.; Fotiadis, Dimitrios I.; Menciassi, Arianna; Errachid, Abdelhamid

doi:10.1016/j.snb.2017.05.169

Cited by 86 publications

(58 citation statements)

References 26 publications

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“…socio-demographic, clinical examination, medical condition, lab tests, medication intake, phenotypic data, sensor data) along with machine learning techniques are presented in [24,[29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47]49]. Recent studies have identified certain biomarkers which strongly correlate with the HF severity, progression and mortality [64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79][80][81], while the progress in analytical chemistry and biosensor development allowed their detection in saliva and breath [82][83][84][85] with prominent merits due to the easy and non-invasive sample collection. The Event prediction module aims to inform the experts about the possible presence of adverse events (relapses and mortality): (i) by introducing saliva and breath biomarkers into the adverse event prediction process, (ii) based on a machine le...…”

Section: Event Prediction Modulementioning

confidence: 99%

HEARTEN KMS – A knowledge management system targeting the management of patients with heart failure

Tripoliti

Karanasiou

Kalatzis

et al. 2019

Journal of Biomedical Informatics

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The aim of this work is to present the HEARTEN Knowledge Management System, one of the core modules of the HEARTEN platform. The HEARTEN platform is an mHealth collaborative environment enabling the Heart Failure patients to self-manage the disease and remain adherent, while allowing the other ecosystem actors (healthcare professionals, caregivers, nutritionists, physical activity experts, psychologists) to monitor the patient's health progress and offer personalized, predictive and preventive disease management. The HEARTEN Knowledge Management System is a tool which provides multiple functionalities to the ecosystem actors for the assessment of the patient's condition, the estimation of the patient's adherence, the prediction of potential adverse events, the calculation of Heart Failure related scores, the extraction of statistics, the association of patient clinical and non-clinical data and the provision of alerts and suggestions. The innovation of this tool lays in the analysis of multiparametric personal data coming from different sources, including for the first time breath and saliva biomarkers, and the use of machine learning techniques. The HEARTEN Knowledge Management System consists of nine modules. The accuracy of the KMS modules ranges from 78-95% depending on the module/functionality.

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Section: Event Prediction Modulementioning

confidence: 99%

HEARTEN KMS – A knowledge management system targeting the management of patients with heart failure

Tripoliti

Karanasiou

Kalatzis

et al. 2019

Journal of Biomedical Informatics

Self Cite

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“…Artificial saliva (AS) has been prepared by dissolving 0.6 g/L Na2HPO4, 0.6 g/L anhydrous CaCl2, 0.4 g/L KCl, 0.4 g/L NaCl, 4 g/L mucin and 4 g/L urea in deionized water, adjusted to pH 7.2 by adding NaOH, sterilized by autoclaving and stored at −4 °C until use [5,6]. Antibodies and antigens were diluted in PBS buffer (pH 7.4), aliquoted at 5 mg/mL and 50 µg/mL respectively, then stored at −20 °C according to the protocol provided by the supplier.…”

Section: Artificial Saliva Preparationmentioning

confidence: 99%

“…Finally, the device has been cleaned for 30 min under UV-ozone to remove all organic contamination. Subsequently CMA molecules have been electrochemically deposited onto gold WEs by using cyclic voltammetry (CV) technique [5,6]. The biosensor platform was then rinsed and the terminal carboxylic acid (-COOH) groups of CMA were activated in a solution of NHS/EDC (0.1 M/0.4 M) for 1 h at room temperature.…”

Section: Bio-functionalization Of Gold Surfacementioning

confidence: 99%

Electrochemical Immunosensor for NT-proBNP Detection in Artificial Human Saliva: Heart Failure Biomedical Application

et al. 2018

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Monitoring of circulating N-terminal proBNP (NT-proBNP) biomarkers is crucial for the diagnosis of people suffering from heart failure (HF). In this work, we describe a novel ultrasensitive NT-proBNP immunosensor for NT-proBNP detection in artificial human saliva. The surface of the developed immunosensor based on gold working microelectrodes (WEs) was biofunctionalized through carboxyl diazonium to immobilize anti-NT-proBNP antibodies. The chemical surface modification of WEs was carried out by cyclic voltammetery CV whilst the quantification of NT-proBNP biomarkers was made by electrochemical impedance spectroscopy (EIS). The immunosensor has demonstrated a linear detection response within the range 1-20 pg/mL for NTproBNP detection in artificial human saliva with a good selectivity in the presence of other interferences.

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“…The real‐time physiological surveillance is widely used in health monitoring and disease diagnosis for critical patients and persons with disabilities. The traditional monitors usually require mounting of sensors on the body and restrict patients’ motility and daily activities . The low adaptability and convenience impose a limitation on the development of health monitoring.…”

Section: Introductionmentioning

confidence: 99%

Electrode‐Free Triboelectric Nanogenerator for Harvesting Human Biomechanical Energy and as a Versatile Inartificial Physiological Monitor

et al. 2019

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The emergence of portable health monitors and wearable versatile sensors brings a promising approach for real‐time physiological surveillance. However, the complicated wiring connections and unsustainable power supplies have largely hindered their combination. Herein, a human body‐based electrode‐free triboelectric nanogenerator (TENG) is demonstrated, which can not only effectively harvest biomechanical energy from human walking and running, but can also serve as a self‐powered versatile inartificial physiological monitor. Most importantly, no electrode material is required in the TENG. In virtue of triboelectrification between the sole and the floor, electricity is produced during human motions with the desirable open‐circuit voltage of more than 150 V under casual walking. The performance of the TENG is investigated under variable environmental conditions and different configurations to evaluate its adaptability. By extracting inartificial electric signals from any part of the human body, information of the footwork, lameness, body weight, and jumping height can be actively transmitted out without using any external power sources. This work provides a new self‐powered route of health surveillance and disease diagnosis.

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Electrochemical biosensor platform for TNF-α cytokines detection in both artificial and human saliva: Heart failure

Abstract: International audienc

Cited by 86 publications

References 26 publications

HEARTEN KMS – A knowledge management system targeting the management of patients with heart failure

HEARTEN KMS – A knowledge management system targeting the management of patients with heart failure

Electrochemical Immunosensor for NT-proBNP Detection in Artificial Human Saliva: Heart Failure Biomedical Application

Electrode‐Free Triboelectric Nanogenerator for Harvesting Human Biomechanical Energy and as a Versatile Inartificial Physiological Monitor

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