A total volatile basic nitrogen detection method for yellow croaker based on an electronic nose combined with an AIE ‐ LSTM regression model

Key Points

• Predicted fish freshness using a detection method that shows improved prediction accuracy for TVB-N content.
• The method combines an electronic nose with an AIE-LSTM regression model, achieving reliable results.
• Utilizing advanced modeling techniques, the system enables rapid and non-destructive assessments of fish freshness.
• This approach supports improved seafood quality control; wider implications for food safety are anticipated.