An Efficient Detection of Formaldehyde in Aqueous Samples Using Perylene Molecular Probe

Area of Science:

• Analytical Chemistry
• Materials Science
• Environmental Science

Background:

• Formaldehyde contamination in aquatic foods is a significant concern due to improper storage or intentional adulteration.
• Accurate detection of formaldehyde in aqueous solutions is challenging due to limitations in sensitivity and selectivity of existing methods.
• Developing reliable methods for formaldehyde detection is essential for public health and regulatory compliance.

Purpose of the Study:

• To develop a novel fluorescent probe for sensitive and selective detection of formaldehyde in water-ethanol mixtures.
• To investigate the sensing mechanism of the probe based on intramolecular charge transfer (ICT) and fluorescence changes.
• To evaluate the probe's performance in real samples for practical application in formaldehyde detection.

Main Methods:

• Synthesis of a novel perylene-based probe, 9-hydrazino-N-(2,5-di-tert-butylphenyl)perylene-3,4-dicarboximide (HPDI).
• Spectroscopic analysis (UV-visible absorption and fluorescence) to study the interaction between HPDI and formaldehyde.
• Determination of the limit of detection (LOD) using both UV-visible and fluorescence techniques.
• Evaluation of probe selectivity in a water-ethanol medium.

Main Results:

• HPDI exhibits intramolecular charge transfer (ICT) absorption at 552 nm, which decreases upon interaction with formaldehyde.
• A significant increase in fluorescence intensity at 720 nm is observed when HPDI binds to formaldehyde.
• The limit of detection (LOD) for formaldehyde was determined to be 0.11 ppm (UV-visible) and 0.38 ppm (fluorescence).
• The synthesized probe demonstrated excellent selectivity for formaldehyde detection in real samples.

Conclusions:

• The novel HPDI probe offers a sensitive and selective method for detecting formaldehyde contamination in aqueous solutions.
• The probe's distinct spectral changes upon formaldehyde interaction provide a reliable basis for quantitative analysis.
• This method holds promise for practical applications in food safety monitoring and environmental analysis.