Prediction of the Biogenic Amines Index of Poultry Meat Using an Electronic Nose

• Main Authors: Wojciech Wojnowski, Kaja Kalinowska, Tomasz Majchrzak, Justyna Płotka-Wasylka, Jacek Namieśnik
• Format: Article
• Language: English
• Published: MDPI AG 2019-04-01
• Series: Sensors
• Subjects: electronic nose; meat; neural networks; DLLME-GC-MS; headspace analysis; electronic olfaction; biogenic amines
• Online Access: https://www.mdpi.com/1424-8220/19/7/1580

The biogenic amines index of fresh chicken meat samples during refrigerated storage was predicted based on the headspace analysis using an electronic nose equipped with an array of electrochemical sensors. The reference biogenic amines index values were obtained using dispersive liquid–liquid microextraction–gas chromatography–mass spectrometry. A prototype electronic nose with modular construction and a dedicated sample chamber was used to rapidly analyze the volatile fraction of chicken meat samples, with a single measurement time of five minutes. Back-propagation artificial neural network was used to estimate the biogenic amines index of the samples with a determination coefficient of 0.954 based on ten-fold stratified cross-validation. The results indicate that the determination of the biogenic amines index is a good reference method for studies in which the freshness of meat products is assessed based on headspace analysis and fingerprinting, and that the described electronic device can be used to assess poultry meat freshness based on this value with high accuracy.