On-Site NIR Spectroscopy to Control the Shelf Life of Pork Meat

被引:28
作者
Prado, Natalia [2 ]
Fernandez-Ibanez, Valle [1 ]
Gonzalez, Pelayo [2 ]
Soldado, Ana [1 ]
机构
[1] SERIDA, Dept Anim Nutr Grasslands & Forages, Reg Inst Res & Agrofood Dev, Villaviciosa 33300, Spain
[2] ASINCAR, Res Assoc Meat Ind, Norena 33180, Spain
关键词
Near infrared reflectance spectroscopy; Pork; Meat; Food preservation; INFRARED REFLECTANCE SPECTROSCOPY; DISCRIMINATION; PREDICTION; SPOILAGE; QUALITY; FILLETS;
D O I
10.1007/s12161-011-9208-2
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Control of meat shelf-life includes the time that it remains in the exhibitor of sale (such as the supermarket) until its rejection for the consumer, or withdrawal due to expiry date. Near infrared spectroscopy (NIRS) is one of the most promising techniques for large-scale meat quality control. This study investigated the potential of on-site NIRS portable instrumentation-based models to predict three microbiological parameters to establish if pork meat is acceptable or not for consumption (aerobic Mesophilous microorganisms, Enterobacteriaceae, and lactic acid bacteria) and pH to quality control food preservation and shelf-life extension on intact slices of pork meat packaged under two different modified atmospheres. NIR calibrations were developed by using an on-site Phazir instrument (Polychromix, Wilmington, MA, USA) in the range 1,600-2,400 nm. A total of 252 samples of pork meat slices were directly scanned twice in reflectance mode on trays, once before and another one after removing the film cover at 1, 3, 5, 7, 9, 12, and 15 days of storage. Results showed that spectra of meat acceptable or not for consumption have marked differences around 1,660 nm. NIRS quantitative prediction models showed r (2) values between 0.19 and 0.65 for the microbiological parameters assayed. The developed NIRS methodology makes possible on-site prediction of microbiological status of pork meat with a standard error of cross-validation around 1 log cfu/g. Results have shown that modified atmosphere packaging has no influence on calibration statistics.
引用
收藏
页码:582 / 589
页数:8
相关论文
共 22 条
[1]  
Al-Amoodi L., 2004, NEAR INFRARED SPECTR, P599
[2]   Rapid monitoring of the spoilage of minced beef stored under conventionally and active packaging conditions using Fourier transform infrared spectroscopy in tandem with chemometrics [J].
Ammor, Mohammed Salim ;
Argyri, Anthoula ;
Nychas, George-John E. .
MEAT SCIENCE, 2009, 81 (03) :507-514
[3]  
[Anonymous], 2007, Official Journal of European Union L, V332, P12
[4]   Rapid qualitative and quantitative detection of beef fillets spoilage based on Fourier transform infrared spectroscopy data and artificial neural networks [J].
Argyri, A. A. ;
Panagou, E. Z. ;
Tarantilis, P. A. ;
Polysiou, M. ;
Nychas, G. -J. E. .
SENSORS AND ACTUATORS B-CHEMICAL, 2010, 145 (01) :146-154
[5]  
Barnes R.J., 1993, J NEAR INFRARED SPEC, V1, P185, DOI DOI 10.1255/JNIRS.21
[6]   STANDARD NORMAL VARIATE TRANSFORMATION AND DE-TRENDING OF NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA [J].
BARNES, RJ ;
DHANOA, MS ;
LISTER, SJ .
APPLIED SPECTROSCOPY, 1989, 43 (05) :772-777
[7]   Near-infrared reflectance spectroscopy as a method to predict chemical composition of breast meat and discriminate between different n-3 feeding sources [J].
Berzaghi, P ;
Dalla Zotte, A ;
Jansson, LM ;
Andrighetto, I .
POULTRY SCIENCE, 2005, 84 (01) :128-136
[8]   Combined effect of irradiation and modified atmosphere packaging on shelf-life extension of chicken breast meat: microbiological, chemical and sensory changes [J].
Chouliara, Eirini ;
Badeka, Anastasia ;
Savvaidis, Ioannis ;
Kontominas, Michael G. .
EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2008, 226 (04) :877-888
[9]   Effect of sample presentation and animal muscle species on the analysis of meat by near infrared reflectance spectroscopy [J].
Cozzolino, D ;
Murray, I .
JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2002, 10 (01) :37-44
[10]   The effects of packaging method (vacuum pouch vs. plastic tray) on spoilage in a cook-chill pork-based dish kept under refrigeration [J].
Diaz, Pedro ;
Dolores Garrido, Maria ;
Banon, Sancho .
MEAT SCIENCE, 2010, 84 (03) :538-544