Visual quantification of acrylamide in ppm range using molecular fluorescent dyes

Overview

Acrylamide is a recognized carcinogen commonly formed in starchy foods during high-temperature cooking processes such as frying, baking, and roasting. Reliable, accessible detection of acrylamide remains a challenge for food safety laboratories and quality control operations. This research proposes a fluorometric sensing approach that leverages the interaction between acrylamide and xanthane-based fluorescent dyes. The method exploits the Michael addition reaction between the α,β-unsaturated carbonyl group of acrylamide and the nucleophilic sites of the dye, which alters the dye's fluorescence emission. The resulting change in fluorescence intensity provides a measurable signal for quantifying acrylamide concentration, offering a simpler and more cost-effective alternative to conventional chromatographic techniques.

Technical specifications

Core sensing principle:

• Acrylamide's double bond and amide functional group enable Michael addition with nucleophilic groups on xanthane dye molecules
• This interaction modifies the fluorescence emission behavior of the dye
• Fluorescence quenching intensity correlates with acrylamide concentration

Current detection range:

• Validated between 500 ppm and 10,000 ppm in preliminary testing
• Suitable for visual or fluorometric readout

Planned optimization studies:

• Excitation wavelength optimization
• Dye concentration tuning
• Excited-state lifetime analysis to define optimum working range
• Mechanistic characterization via NMR, IR, and LC-MS spectroscopy
• Interference studies against food matrix components to eliminate false signals
• Statistical validation of the optimized method

Technology readiness level

This technology is at an early stage of development (TRL 2–3). Preliminary experiments have demonstrated proof-of-concept, with fluorescence quenching observed when acrylamide interacts with xanthane dye. Further work is required to optimize sensing parameters, confirm the reaction mechanism through spectroscopic analysis, evaluate selectivity in complex food matrices, and statistically validate the method before it can be deployed for routine food safety testing.