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Early monitoring of food spoilage using UV-enhanced Cu3N-Ag nanostructured electrodes
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Early monitoring of food spoilage using UV-enhanced Cu3N-Ag nanostructured electrodes

Uddipan Dasgupta, Malabika Ghosh, Rupali Gangopadhyay, Darya D. Klyamer, Prashanth Venkatesan, Tamara Basova, Ruey-An DoongAnkan Dutta Chowdhury
Chemical Engineering Journal, 卷.521, 166394
10/2025

摘要

Ammonia Chemiresistive sensors Derivatives of Cu3N Gas sensors UV activated sensor, DFT calculations Chemistry (all) Environmental Chemistry Chemical Engineering (all) Industrial and Manufacturing Engineering
Food spoilage in perishable, protein-rich products is a significant challenge for the food storage industry. This work introduces a UV-enhanced chemiresistive sensor, based on a polyaniline (PANI) nanocomposite functionalised with copper nitride‑silver (Cu 3 N-Ag) nanoparticles, for the rapid and selective detection of ammonia (NH 3 ). Under 365 nm UV illumination, the sensor exhibits a 4.7-fold sensitivity enhancement, achieving a linear response (R 2 = 0.99) from 5 to 200 ppm NH 3 with a detection limit of 1.03 ppm. A key finding is the intrinsically fast kinetics of the sensor, with a response time of approximately 30s and a recovery time of 50s. This suggests the enhancement mechanism is primarily a sensitivity amplification driven by electron-hole separation. The sensor demonstrated high selectivity against common interferents. Its operational principles, particularly the favourable electronic properties of the Ag-doped nanostructure, were further elucidated by density functional theory (DFT) calculations. Real-world validation successfully monitored NH 3 emissions from spoiling mutton and fish within 3–5 h. By providing a unique combination of rapid response and UV-tuneable sensitivity, supported by theoretical modelling, this technology holds significant potential for monitoring food wastage and for detecting NH 3 overexpression related to conditions like kidney or liver disease.

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