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Articles

Study of golden pompano (Trachinotus ovatus) freshness forecasting method by utilising Vis/NIR spectroscopy combined with electronic nose

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Pages 1257-1269 | Received 07 Aug 2017, Accepted 09 Feb 2018, Published online: 04 Jul 2018

References

  • Wang, L.; Guo, H. Y.; Zhang, N.; Ma, Z. H.; Jiang, S. G.; Zhang, D. C. Molecular Characterization and Functional Analysis of a Peroxiredoxin 1 cDNA from Golden Pompano (Trachinotus ovatus). Developmental & Comparative Immunology 2015, 51(2), 261–270. DOI: 10.1016/j.dci.2015.03.011.
  • Gao, M. S.; Feng, L. F.; Jiang, T. J.; Zhu, J. L.; Fu, L. L.; Yuan, D. X.; Li, J. R. The Use of Rosemary Extract in Combination with Nisin to Extend the Shelf Life of Pompano (Trachinotus ovatus) fillet during Chilled Storage. Food Control 2014, 37, 1–8. DOI: 10.1016/j.foodcont.2013.09.010.
  • Zhou, C. P.; Ge, X. P.; Niu, J.; Lin, H. Z.; Huang, Z.; Tan, X. H. Effect of Dietary Carbohydrate Levels on Growth Performance, Body Composition, Intestinal and Hepatic Enzyme Activities, and Growth Hormone Gene Expression of Juvenile Golden Pompano, Trachinotus ovatus. Aquaculture 2015, 437, 390–397. DOI: 10.1016/j.aquaculture.2014.12.016.
  • ICMSF. Sampling Plans for Fish and Shellfish. In International Commission on Microbiological Specifications for Foods, Microorganisms in Foods. Sampling for Microbiological Analysis: Principles and Scientific Applications, 2nd ed; University of Toronto Press: Canada, 1986; Vol. 2, pp 181–196.
  • GB 2733-2005. Hygienic Standard for Fresh and Frozen Marine Products of Animal Origin; The National Hygiene Ministry: Beijing 2005.
  • El Barbri, N.; Amari, A.; Vinaixa, M.; Bouchikhi, B.; Correig, X.; Llobet, E. Building of a Metal Oxide Gas Sensor-Based Electronic Nose to Assess the Freshness of Sardines under Cold Storage. Sensors and Actuators B: Chemical 2007, 128, 235–244. DOI: 10.1016/j.snb.2007.06.007.
  • Hui, G. H.; Liu, W.; Feng, H. L.; Li, J.; Gao, Y. Y. Effects of Chitosan Combined with Nisin Treatment on Storage Quality of Large Yellow Croaker (Pseudosciaena crocea). Food Chemistry 2016, 203, 276–282. DOI: 10.1016/j.foodchem.2016.01.122.
  • Altieri, I.; Semeraro, A.; Scalise, F.; Calderari, I.; Stacchini, P. European Official Control of Food: Determination of Histamine in Fish Products by a HPLC–UV-DAD Method. Food Chemistry 2016, 211, 694–699. DOI: 10.1016/j.foodchem.2016.05.111.
  • Fu, L. L.; Chen, X. J.; Wang, Y. B. Quality Evaluation of Farmed Whiteleg Shrimp, Litopenaeus vannamei, Treated with Different Slaughter Processing by Infrared Spectroscopy. Food Chemistry 2014, 151, 306–310. DOI: 10.1016/j.foodchem.2013.11.012.
  • Li, X. L.; He, Y.; Fang, H. Non-Destructive Discrimination of Chinese Bayberry Varieties Using Vis/NIR Spectroscopy. Journal of Food Engineering 2007, 81(2), 357–363. DOI: 10.1016/j.jfoodeng.2006.10.033.
  • Wu, G. F.; Wang, C. G. Investigating the Effects of Simulated Transport Vibration on Tomato Tissue Damage Based on Vis/NIR Spectroscopy. Postharvest Biology and Technology 2014, 98, 41–47. DOI: 10.1016/j.postharvbio.2014.06.016.
  • Alamprese, C.; Casale, M.; Sinelli, N.; Lanteri, S.; Casiraghi, E. Detection of Minced Beef Adulteration with Turkey Meat by UV–Vis, NIR and MIR Spectroscopy. LWT –Food Science and Technology 2013, 53(1), 225–232. DOI: 10.1016/j.lwt.2013.01.027.
  • Sivertsen, A. H.; Kimiya, T.; Heia, K. Automatic Freshness Assessment of Cod (Gadus morhua) Fillets by Vis/NIR Spectroscopy. Journal of Food Engineering 2011, 103, 317–323. DOI: 10.1016/j.jfoodeng.2010.10.030.
  • Hammond, J.; Marquis, B.; Michaels, R.; Oickle, B.; Segee, B.; Vetelino, J.; Bushway, A.; Camire, M. E.; Dentici, K. D. A Semiconducting Metal-Oxide Array for Monitoring Fish Freshness. Sensors and Actuators B: Chemical 2002, 84, 113–122. DOI: 10.1016/S0925-4005(02)00011-4.
  • Peris, M.; Escuder-Gilabert, L. A 21st Century Technique for Food Control: Electronic Noses. Analytica Chimica Acta 2009, 638, 1–15. DOI: 10.1016/j.aca.2009.02.009.
  • Pan, L. Q.; Zhang, W.; Zhu, N.; Mao, S. B.; Tu, K. Early Detection and Classification of Pathogenic Fungal Disease in Post-Harvest Strawberry Fruit by Electronic Nose and Gas Chromatography–Mass Spectrometry. Food Research International 2014, 62, 162–168. DOI: 10.1016/j.foodres.2014.02.020.
  • Sanaeifar, A.; Mohtasebi, S. S.; Ghasemi-Varnamkhasti, M.; Ahmadi, H. Application of MOS Based Electronic Nose for the Prediction of Banana Quality Properties. Measurement 2016, 82, 105–114. DOI: 10.1016/j.measurement.2015.12.041.
  • Hai, Z.; Wang, J. Electronic Nose and Data Analysis for Detection of Maize Oil Adulteration in Sesame Oil. Sensors and Actuators B: Chemical 2006, 119, 449–455. DOI: 10.1016/j.snb.2006.01.001.
  • Xu, L. R.; Yu, X. Z.; Liu, L.; Zhang, R. A Novel Method for Qualitative Analysis of Edible Oil Oxidation Using an Electronic Nose. Food Chemistry 2016, 202, 229–235. DOI: 10.1016/j.foodchem.2016.01.144.
  • Paolesse, R.; Alimelli, A.; Martinelli, E.; Di Natale, C.; D’Amico, A.; D’Egidio, M. G.; Aureli, G.; Ricelli, A.; Fanelli, C. Detection of Fungal Contamination of Cereal Grain Samples by an Electronic Nose. Sensors and Actuators B: Chemical 2006, 119, 425–430. DOI: 10.1016/j.snb.2005.12.047.
  • Zhang, H. M.; Wang, J.; Tian, X. J.; Yu, H. C.; Yu, Y. Optimization of Sensor Array and Detection of Stored Duration of Wheat by Electronic Nose. Journal of Food Engineering 2007, 82, 403–408. DOI: 10.1016/j.jfoodeng.2007.02.005.
  • Vestergaard, J. S.; Martens, M.; Turkki, P. Application of an Electronic Nose System for Prediction of Sensory Quality Changes of a Meat Product (Pizza Topping) during Storage. LWT – Food Science and Technology 2007, 40(6), 1095–1101. DOI: 10.1016/j.lwt.2006.06.008.
  • Timsorn, K.; Thoopboochagorn, T.; Lertwattanasakul, N.; Wongchoosuk, C. Evaluation of Bacterial Population on Chicken Meats Using a Briefcase Electronic Nose. Biosystems Engineering 2016, 151, 116–125. DOI: 10.1016/j.biosystemseng.2016.09.005.
  • Verma, P.; Yadava, R. D. S. Polymer Selection for SAW Sensor Array Based Electronic Noses by Fuzzy C-Means Clustering of Partition Coefficients: Model Studies on Detection of Freshness and Spoilage of Milk and Fish. Sensors and Actuators B: Chemical 2015, 209, 751–769. DOI: 10.1016/j.snb.2014.11.149.
  • GB/T 5009.44-2003. Method for Analysis of Hygienic Standard of Meat and Meat Products; The National Hygiene Ministry: Beijing, 2003.
  • AOAC. Official Methods of Analysis; Association of Official Agricultural Chemists: Washington, DC, USA, 17th ed; 2002.
  • Singh, H.; Bhasker Raj, V.; Kumar, J.; Mittal, U.; Mishra, M.; Nimal, A. T.; Sharma, M. U.; Gupta, V. Metal Oxide SAW E-Nose Employing PCA and ANN for the Identification of Binary Mixture of DMMP and Methanol. Sensors and Actuators B: Chemical 2014, 200, 147–156. DOI: 10.1016/j.snb.2014.04.065.
  • Wei, Z. B.; Wang, J.; Zhang, W. L. Detecting Internal Quality of Peanuts during Storage Using Electronic Nose Responses Combined with Physicochemical Methods. Food Chemistry 2015, 177, 89–96. DOI: 10.1016/j.foodchem.2014.12.100.
  • Benzi, R.; Parisi, G.; Sutera, A.; Vulpiani, A. A Theory of Stochastic Resonance in Climatic Change. SIAM Journal on Applied Mathematics 1983, 43, 565–578. DOI: 10.1137/0143037.
  • Dutta, R.; Das, A.; Stocks, N. G.; Morgan, D. Stochastic Resonance-Based Electronic Nose: A Novel Way to Classify Bacteria. Sensors and Actuators B: Chemical 2006, 115, 17–27. DOI: 10.1016/j.snb.2005.08.033.
  • Li, T. T.; Li, J. R.; Hu, W. Z. Changes in Microbiological, Physicochemical and Muscle Proteins of Post Mortem Large Yellow Croaker (Pseudosciaena crocea). Food Control 2013, 34, 514–520. DOI: 10.1016/j.foodcont.2013.05.028.
  • Xu, G. C.; Tang, X.; Tang, S. H.; You, H. B.; Shi, H. W.; Gu, R. B. Combined Effect of Electrolyzed Oxidizing Water and Chitosan on the Microbiological, Physicochemical, and Sensory Attributes of American Shad (Alosa sapidissima) during Refrigerated Storage. Food Control 2014, 46, 397–402. DOI: 10.1016/j.foodcont.2014.06.010.
  • Reis, M. M.; Martínez, E.; Saitua, E.; Rodríguez, R.; Perez, I.; Olabarrieta, I. Non-Invasive Differentiation between Fresh and Frozen/Thawed Tuna Fillets Using Near Infrared Spectroscopy (Vis-NIRS). LWT – Food Science and Technology 2017, 78, 129–137. DOI: 10.1016/j.lwt.2016.12.014.
  • Olsen, S. H.; Elvevoll, E. O. pH-Induced Shift in Hemoglobin Spectra: A Spectrophotometeric Comparison of Atlantic Cod (Gadus morhua) and Mammalian Hemoglobin. Journal of Agricultural and Food Chemistry 2011, 59(4), 1415–1422. DOI: 10.1021/jf1036273.