ACS Nano · 2023 · 39 citations · 33 references
EngineeringBioengineeringMaterials ScienceBiosensorsNanotechnologySensorsAlzheimer DiseaseBiomarkers Of NeurodegenerationBiomedical SensorsElectrochemical BiosensorsNanomaterial-based BiosensorsNanosensorsAmyloid Beta PeptidesEarly DiagnosisField-effect Transistor BiosensorsGrapheneGraphene OxideGraphene SensorsGraphene-based SensorsNanoparticles
The expression of β-amyloid peptides (Aβ), a pathological indicator of Alzheimer’s disease (AD), was reported to be inapparent in the early stage of AD. While peroxynitrite (ONOO – ) is produced excessively and emerges earlier than Aβ plaques in the progression of AD, it is thus significant to sensitively detect ONOO – for early diagnosis of AD and its pathological research. Herein, we unveiled an integrated sensor for monitoring ONOO –, which consisted of a commercially available field-effect transistor (FET) and a high-performance multi-engineered graphene extended-gate (EG) electrode. In the configuration of the presented EG electrode, laser-induced graphene (LIG) intercalated with MnO 2 nanoparticles (MnO 2 /LIG) can improve the electrical properties of LIG and the sensitivity of the sensor, and graphene oxide (GO)-MnO 2 /Hemin nanozyme with ONOO – isomerase activity can selectively trigger the isomerization of ONOO – to NO 3 – . With this synergistic effect, our EG-FET sensor can respond to the ONOO – with high sensitivity and selectivity. Moreover, taking advantage of our EG-FET sensor, we modularly assembled a portable sensing platform for wireless tracking ONOO – levels in the brain tissue of AD transgenic mice at earlier stages before massive Aβ plaques appeared, and we systematically explored the complex role of ONOO – in the occurrence and development of AD.
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The Lancet · 2021 · 4.9K citations · Full text
Life Sciences, Genetics, Neurology +17
Early-Stage Alzheimer's Disease Prediction Using Machine Learning Models
C. Kavitha, Vinodhini Mani, S. Srividhya et al. · Frontiers in Public Health · 2022 · 350 citations · Full text