A Multichannel Fluorescent Tongue for Amyloid- β Aggregates Detection.
Fei LiLingjia ZhouXu GaoWeiwei NiJiabao HuMeicen WuShouwang ChenJinsong HanJin WuPublished in: International journal of molecular sciences (2022)
Attention has been paid to the early diagnosis of Alzheimer's disease, due to the maximum benefit acquired from the early-stage intervention and treatment. However, the sensing techniques primarily depended upon for neuroimaging and immunological assays for the detection of AD biomarkers are expensive, time-consuming and instrument dependent. Here, we developed a multichannel fluorescent tongue consisting of four fluorescent dyes and GO through electrostatic and π-π interaction. The array distinguished multiple aggregation states of 1 µM A β 40/A β 42 with 100% prediction accuracy via 10-channel signal outputs, illustrating the rationality of the array design. Screening vital sensor elements for the simplified sensor array and the optimization of sensing system was achieved by machine learning algorithms. Moreover, our sensing tongue was able to detect the aggregation states of A β 40/A β 42 in serum, demonstrating the great potential of multichannel array in diagnosing the Alzheimer's diseases.
Keyphrases
- label free
- machine learning
- high throughput
- early stage
- quantum dots
- high resolution
- living cells
- high density
- cognitive decline
- loop mediated isothermal amplification
- deep learning
- artificial intelligence
- real time pcr
- radiation therapy
- sentinel lymph node
- single cell
- lymph node
- squamous cell carcinoma
- risk assessment
- sensitive detection
- neoadjuvant chemotherapy
- smoking cessation