A novel method for rapid quantitative evaluating formaldehyde in squid based on electronic nose

• Published in: Food science & technology Vol. 101; pp. 382 - 388
• Main Authors: Gu, Dong-Chen, Liu, Wei, Yan, Yu, Wei, Wei, Gan, Jian-hong, Lu, Ying, Jiang, Zao-Li, Wang, Xi-Chang, Xu, Chang-Hua
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2019
• Subjects: Electronic nose; Formaldehyde; GC-MS; Quantitative model; GC-MS; Quantitative model; Formaldehyde; Electronic nose
• ISSN: 0023-6438; 1096-1127
• DOI: 10.1016/j.lwt.2018.11.012

The aim was to establish a rapid and quantitative detection method of formaldehyde in squid based on electronic nose for screening massive samples. Identification of volatile compounds in squid with different formaldehyde content by electronic nose were mainly depended on eight sensors. Besides, the diversities of volatile constituents in squid with increasing contents of aldehydes and aromatic compounds were validated by GC-MS results. Moreover, to build a qualitative discrimination model for estimating whether formaldehyde in squid over standard limit or not, DFA and SIMCA based on PCA were used to analyze electronic nose data for semi-quantitative determination of formaldehyde content in squid. Finally, a rapid quantitative prediction model based on electronic nose and PLS was established (R2 = 0.9266).To verify the accuracy of quantitative model, t-test was employed and no significant difference between predicted values and true values was found. This approach showed well potentiality to provide a rapid, nondestructive and quantitative method for detecting formaldehyde residue in food. •Electronic nose was developed for qualitative and quantitative evaluating formaldehyde.•The diversities of volatile constituents in squids were validated by HS-SPME-GC-MS.•SIMCA were used to establish a semi-quantitative determination of formaldehyde content in squid.•Electronic nose combined with PLS can accurately predict formaldehyde concentration in squids.