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A Pyrazoline-Based Fluorescent Sensor for Picric Acid Detection in Aqueous Media: Experimental and DFT Insights
Lailema Ahmady1, Shehneela Nisa1, Mohamad Yusuf2
1Department of Chemistry, Punjabi University, Patiala, 147002, Punjab, India.
This study introduces a new pyrazoline-based fluorescence sensor, BTP, for detecting picric acid (PA) in water. The sensor shows high sensitivity and efficiency, making it suitable for environmental monitoring.
Area of Science:
- Analytical Chemistry
- Materials Science
Background:
- Picric acid (PA) is a hazardous explosive and pollutant.
- Accurate detection of PA in aqueous environments is crucial for safety and environmental protection.
- Existing detection methods may lack sensitivity or practicality for real-world samples.
Purpose of the Study:
- To develop a novel pyrazoline-based fluorescence sensor (BTP) for the reliable identification of picric acid (PA).
- To evaluate the sensor's performance in various aqueous matrices.
- To elucidate the interaction mechanism between the sensor and picric acid.
Main Methods:
- Synthesis and characterization of the pyrazoline-based fluorescence sensor BTP.
- Fluorescence spectroscopy was used to detect picric acid.
- Evaluation of sensor performance including linear range and detection limit.
- Density Functional Theory (DFT) studies were performed to understand the interaction mechanism.
Main Results:
- The developed sensor BTP demonstrated reliable picric acid identification in aqueous environments.
- BTP showed a linear detection range from 0 to 10 µM with a detection limit of 0.991 µM.
- The sensor exhibited high quenching efficiency (75.12%) for picric acid compared to other nitroaromatics.
- DFT studies confirmed an electron transfer mechanism in the BTP-PA interaction.
Conclusions:
- The pyrazoline-based fluorescence sensor BTP is a sensitive and efficient tool for detecting picric acid in water.
- BTP's performance across different water types highlights its potential for environmental monitoring.
- The electron transfer mechanism provides insight into the sensor's sensing capabilities.
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