Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder, and the early diagnosis of AD remains challenging. Here we have developed a fluorescent sensor array composed of three modified polyamidoamine dendrimers. Proteins of various properties were differentiated via this array with 100% accuracy, proving the rationality of the array’s design. The mechanism of the fluorescence response was discussed. Furthermore, the robust three-element array enables parallel detection of multiple Aβ40/Aβ42 aggregates (0.5 μM) in diverse interferents, serum media, and cerebrospinal fluid (CSF) with high accuracy, through machine learning algorithms, demonstrating the tremendous potential of the sensor array in Alzheimer’s disease diagnosis.

中文翻译：

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基于聚（酰胺胺）（PAMAM）树枝状大分子的机器学习辅助传感器阵列用于诊断阿尔茨海默病

阿尔茨海默病 (AD) 是最普遍的神经退行性疾病，AD 的早期诊断仍然具有挑战性。在这里，我们开发了一种由三个改性聚酰胺胺树枝状大分子组成的荧光传感器阵列。通过该阵列以100％的准确度区分各种性质的蛋白质，证明了阵列设计的合理性。讨论了荧光反应的机理。此外，强大的三元素阵列能够通过机器学习算法以高精度并行检测多种干扰物、血清培养基和脑脊液 (CSF) 中的多个 Aβ40/Aβ42 聚集体 (0.5 μM)，展示了传感器的巨大潜力阵列在阿尔茨海默病的诊断中。