Electrophilicity Modulation for Sub-ppm Visualization and Discrimination of EDA.
Hao ZhaoYuan LiuGaosheng LiDa LeiYuwan DuYudong LiHui TangXincun DouPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Precise and timely recognition of hazardous chemical substances is of great significance for safeguarding human health, ecological environment, public security, etc., especially crucial for adopting appropriate disposition measures. Up to now, there remains a practical challenge to sensitively detect and differentiate organic amines with similar chemical structures with intuitive analysis outcomes. Here, a unique optical probe with two electrophilic recognition sites for rapid and ultra-sensitive ratiometric fluorescence detection of ethylenediamine (EDA) is presented, while producing distinct fluorescence signals to its structural analog. The probe exhibits ppb/nmol level sensitivity to liquidous and gaseous EDA, specific recognition toward EDA without disturbance to up to 28 potential interferents, as well as rapid fluorescence response within 0.2 s. By further combining the portable sensing chip with the convolutional algorithm endowed with image processing, this work cracked the problem of precisely discriminating the target and non-targets at extremely low concentrations.
Keyphrases
- human health
- risk assessment
- energy transfer
- living cells
- single molecule
- loop mediated isothermal amplification
- quantum dots
- high resolution
- climate change
- sensitive detection
- deep learning
- fluorescent probe
- healthcare
- machine learning
- neural network
- emergency department
- drinking water
- mental health
- mass spectrometry
- global health
- high throughput
- high speed
- public health
- type diabetes
- electronic health record
- weight loss
- skeletal muscle
- low cost
- insulin resistance