A novel colorimetric sensor array for monitoring fresh pork sausages spoilage

被引:105
作者
Salinas, Yolanda [1 ,2 ]
Ros-Lis, Jose V. [1 ]
Vivancos, Jose-Luis [1 ,2 ]
Martinez-Manez, Ramon [1 ,2 ]
Dolores Marcos, M. [1 ,2 ]
Aucejo, Susana [3 ]
Herranz, Nuria [3 ]
Lorente, Inmaculada [3 ]
Garcia, Emilio [4 ]
机构
[1] Univ Valencia, Univ Politecn Valencia, Unidad Mixta, Ctr Reconocimiento Mol & Desarrollo Tecnol, Valencia 46021, Spain
[2] CIBER Bioingn Biomat & Nanomed CIBER BBN, Madrid, Spain
[3] ITENE Packaging Transport & Logist Res Ctr, Valencia 46980, Spain
[4] Carn Serrano, Valencia 46988, Spain
关键词
Optoelectronic nose; Fresh pork sausage; Freshness monitoring; Chromogenic sensors; TRANSFORM INFRARED-SPECTROSCOPY; SHELF-LIFE; QUANTITATIVE DETECTION; MICROBIAL SPOILAGE; CARBON-DIOXIDE; PATTERN-RECOGNITION; HYBRID MATERIALS; ELECTRONIC NOSE; BIOGENIC-AMINES; MEAT SPOILAGE;
D O I
10.1016/j.foodcont.2013.06.043
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
We report herein the development of a new optoelectronic nose composed of seven sensing materials prepared by the incorporation of pH indicators and chromogenic reagents selective to metabolites into inorganic materials (UVM-7 and alumina). The nose has been applied to monitor fresh pork sausage ageing. Sausages were packaged together with the disposable array in a modified packaging atmosphere (30% CO2, 70% N-2) and colour changes were measured at seven day intervals. Simultaneously, microbiological and sensory analyses were performed. Colour modulations of the chromogenic array were processed with standard analytical tools, including principal component analysis (PCA) and partial least squares (PLS). According to the PCA, the array was able to monitor the sausage spoilage process and to distinguish between each sampled day. Moreover, the PLS statistical analysis of the chromogenic data displayed a linear correlation between the predicted and measured values of the storage days, mesophilic bacteria (cfu g(-1)) and the sensory score with regression coefficients of 0.9300, 0.9472 and 0.9381, respectively. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:166 / 176
页数:11
相关论文
共 93 条
[61]   Comparison of k-NN and neural network methods in the classification of spectral data from an optical fibre-based sensor system used for quality control in the food industry [J].
O'Farrell, M ;
Lewis, E ;
Flanagan, C ;
Lyons, W ;
Jackman, N .
SENSORS AND ACTUATORS B-CHEMICAL, 2005, 111 :354-362
[62]  
Olson DG, 1998, FOOD TECHNOL-CHICAGO, V52, P56
[63]   Determination of nitrate in mineral water and sausage samples by using a renewable in situ copper modified electrode [J].
Paixao, Thiago R. L. C. ;
Cardoso, Juliana L. ;
Bertotti, Mauro .
TALANTA, 2007, 71 (01) :186-191
[64]   Supramolecular chemistry approach to the design of a high-resolution sensor array for multianion detection in water [J].
Palacios, Manuel A. ;
Nishiyabu, Ryuhei ;
Marquez, Manuel ;
Anzenbacher, Pavel, Jr. .
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2007, 129 (24) :7538-7544
[65]   A comparison of artificial neural networks and partial least squares modelling for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectral fingerprints [J].
Panagou, Efstathios Z. ;
Mohareb, Fady R. ;
Argyri, Anthoula A. ;
Bessant, Conrad M. ;
Nychas, George-John E. .
FOOD MICROBIOLOGY, 2011, 28 (04) :782-790
[66]   Contribution of Fourier transform infrared (FTIR) spectroscopy data on the quantitative determination of minced pork meat spoilage [J].
Papadopoulou, O. ;
Panagou, E. Z. ;
Tassou, C. C. ;
Nychas, G-J E. .
FOOD RESEARCH INTERNATIONAL, 2011, 44 (10) :3264-3271
[67]  
Pearson A.M., 1996, PROCESSED MEATS, V3rd
[68]   Comparison of various chemometric approaches for large near infrared spectroscopic data of feed and feed products [J].
Pierna, J. A. Fernandez ;
Lecler, B. ;
Conzen, J. P. ;
Niemoeller, A. ;
Baeten, V. ;
Dardenne, P. .
ANALYTICA CHIMICA ACTA, 2011, 705 (1-2) :30-34
[69]   Sensory analysis [J].
Piggott, JR ;
Simpson, SJ ;
Williams, SAR .
INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY, 1998, 33 (01) :7-18
[70]   Application of an electronic nose for quality assessment of modified atmosphere packaged poultry meat [J].
Rajamäki, T ;
Alakomi, HL ;
Ritvanen, T ;
Skyttä, ES ;
Smolander, M ;
Ahvenainen, R .
FOOD CONTROL, 2006, 17 (01) :5-13