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pH-Regulated Optical Performances in Organic/Inorganic Hybrid: A Dual-Mode Sensor Array for Pattern-Recognition-Based
Qing Yan1, Xu-Yin Ding1, Zi-Han Chen1
1School of Chemistry and Molecular Engineering, Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration , East China Normal University , 500 Dongchuan Road , Shanghai 200241 , China.
Analytical Chemistry
|August 14, 2018
Summary
This study introduces a novel dual-mode optical sensor array using porphyrin/lanthanide-doped upconversion nanoparticles (Ln-UCNPs) for sensitive detection and differentiation of phosphate compounds (PCs) via pattern recognition.
Area of Science:
- Biochemical analysis
- Nanomaterials science
- Optical sensing technologies
Background:
- Dual-mode optical assays offer enhanced data for biochemical analysis.
- Developing selective and sensitive sensors for phosphate compounds (PCs) is crucial.
- Existing methods may lack the specificity or sensitivity required for complex biological samples.
Purpose of the Study:
- To develop a novel dual-mode optical sensing method for multifunctional detection of PCs.
- To create a sensor array using a single type of organic/inorganic hybrid material.
- To achieve sensitive detection and pattern recognition-based discrimination of various PCs.
Main Methods:
- Fabrication of porphyrin/lanthanide-doped upconversion nanoparticles (Ln-UCNPs) hybrids (TPPS/Ln-UCNPs).
- Utilizing a pH-regulated strategy to create distinct sensor arrays (TPPS/Ln-UCNPs4, TPPS/Ln-UCNPs4.5, TPPS/Ln-UCNPs5).
- Employing UV-vis absorption and fluorescence spectroscopy for dual-mode optical detection and pattern recognition.
Main Results:
- The TPPS/Ln-UCNPs hybrids exhibited pH-dependent dual-mode optical responses.
- The sensor array successfully detected 14 different PCs with high sensitivity.
- The method allowed for differentiation of PCs based on concentration and discrimination of mixtures via pattern recognition.
Conclusions:
- The pH-dependent TPPS/Ln-UCNPs sensor array provides a simple yet powerful platform for PC discrimination.
- Pattern recognition enables robust identification of various phosphate compounds.
- This approach holds promise for expanding the application of organic/inorganic hybrids in biosensing.
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