Single-Probe-Based Sensor Array for Fingerprint Recognition of Trivalent Metal Ions and Application in Water Identification.
Zhen YanRongrong ZhangMin QiaoMiao MaTaihong LiuLiping DingYu FangPublished in: Analytical chemistry (2024)
Abnormal concentration levels of trivalent metal ions (M 3+ ) might hinder their natural biological activities in physiological processes and cause severe health hazards. Herein, a dual-chromophore probe (RhB-TPE) composed of rhodamine and tetraphenylethene (TPE) units was synthesized and explored for discriminating M 3+ ions. It exhibited special aggregation and AIE properties in aqueous media. Its ensemble with anionic surfactant SDBS assemblies (RhB-TPE/SDBS) could be utilized as fluorescent sensors for selective and sensitive detection of M 3+ ions such as Fe 3+ , Al 3+ , and Cr 3+ by illustrating quenched TPE emission and switched-on rhodamine emission. Moreover, the use of SDBS assemblies at two concentrations could provide a single-probe-based sensor array and realize four-signal pattern recognition of different concentrations of the three M 3+ ions and identify M 3+ mixtures or unknown samples. The cross-reactive fluorescence variation was attributed to the M 3+ influence on the FRET process from TPE to open-ring form rhodamine in the two ensemble sensors. With the coexistence of Al 3+ , the optimized RhB-TPE/SDBS ensemble sensor array was successfully applied to differentiate commercially available brand mineral water and purified water, as well as tap water. The present work provides a novel strategy to generate a single-probe-based sensor array and realizes fingerprint recognition of three trivalent metal ions and efficient discrimination of different types of water. The modulation FRET process of a dual chromophore in different surfactant ensembles inspires the future construction of novel and effective sensing platforms.
Keyphrases
- quantum dots
- living cells
- sensitive detection
- fluorescent probe
- energy transfer
- single molecule
- high throughput
- high resolution
- aqueous solution
- healthcare
- public health
- convolutional neural network
- water soluble
- high density
- mental health
- machine learning
- early onset
- health information
- low cost
- mass spectrometry
- human health
- social media