The real-time monitoring of aquatic product spoilage is vital for global food safety. This review explores intelligent detection systems that integrate advanced sensors with novel equipment to track key spoilage markers like trimethylamine and pH shifts. These integrated systems utilize colorimetric, electrical, or spectroscopic signals to achieve high sensitivity, with some demonstrating detection limits below 10 ppm for target volatiles. By incorporating artificial intelligence, the equipment can perform non-destructive freshness analysis in real-time, achieving accuracy rates over 90