caa a22 4500 606243577 CHVBK 20210128101325.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11694-015-9262-3 doi (NATIONALLICENCE)springer-10.1007/s11694-015-9262-3 Hairtail ( Trichiurus haumela ) freshness determination method based on electronic nose [Elektronische Daten] [Lin Han, Jiang Jinghao, Zheng Feixiang, Hui Guohua] In this paper, hairtail (Trichiurus haumela) freshness determination method using electronic nose (EN) technology is discussed. Hairtail samples under different storage time are measured by EN. At the same time, physical/chemical indexes of hairtail samples, such as total volatile based nitrogen, total aerobic counts, pH, and texture characteristics, are also examined. The relationship between EN responses and physical/chemical indexes of the samples is discussed. Results indicate that principal component analysis method discriminates hairtail samples successfully. Stochastic resonance signal-to-noise ratio (SNR) eigen values qualitatively and quantitatively discriminate hairtail samples of different freshness. Hairtail freshness predicting model is developed using SNR eigen value non-linear fitting regression. The developed model forecasts freshness of hairtail samples with an accuracy of 90.48%. Springer Science+Business Media New York, 2015 Electronic nose nationallicence Hairtail nationallicence Freshness nationallicence Stochastic resonance nationallicence Signal-to-noise ratio nationallicence Han Lin School of Information Engineering, Zhejiang A & F University, 311300, Linan, China aut Jinghao Jiang School of Information Engineering, Zhejiang A & F University, 311300, Linan, China aut Feixiang Zheng School of Information Engineering, Zhejiang A & F University, 311300, Linan, China aut Guohua Hui School of Information Engineering, Zhejiang A & F University, 311300, Linan, China aut Journal of Food Measurement and Characterization Springer US; http://www.springer-ny.com 9/4(2015-12-01), 541-549 2193-4126 9:4<541 2015 9 11694 https://doi.org/10.1007/s11694-015-9262-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11694-015-9262-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Han Lin School of Information Engineering, Zhejiang A & F University, 311300, Linan, China aut NATIONALLICENCE 700 1- Jinghao Jiang School of Information Engineering, Zhejiang A & F University, 311300, Linan, China aut NATIONALLICENCE 700 1- Feixiang Zheng School of Information Engineering, Zhejiang A & F University, 311300, Linan, China aut NATIONALLICENCE 700 1- Guohua Hui School of Information Engineering, Zhejiang A & F University, 311300, Linan, China aut NATIONALLICENCE 773 0- Journal of Food Measurement and Characterization Springer US; http://www.springer-ny.com 9/4(2015-12-01), 541-549 2193-4126 9:4<541 2015 9 11694