Machine Learning-Assisted Sensor Array Based on Poly(amidoamine) (PAMAM) Dendrimers for Diagnosing Alzheimer?sDisease

ACS SENSORS(2022)

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摘要
Alzheimer's disease (AD) is the most prevalentneurodegenerative disorder, and the early diagnosis of AD remainschallenging. Here we have developed afluorescent sensor arraycomposed of three modified polyamidoamine dendrimers. Proteins ofvarious properties were differentiated via this array with 100%accuracy, proving the rationality of the array's design. The mechanismof thefluorescence response was discussed. Furthermore, the robustthree-element array enables parallel detection of multiple A beta 40/A beta 42aggregates (0.5 mu M) in diverse interferents, serum media, andcerebrospinalfluid (CSF) with high accuracy, through machinelearning algorithms, demonstrating the tremendous potential of thesensor array in Alzheimer's disease diagnosis.
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关键词
Alzheimer?s disease, PAMAM dendrimers, sensor array, machine learning algorithm, linear discriminant analysis, amyloid-?protein
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