Rapid monitoring of the spoilage of minced beef stored under conventionally and active packaging conditions using Fourier transform infrared spectroscopy in tandem with chemometrics.

Fourier transform infrared (FTIR) spectroscopy was exploited to measure biochemical changes within fresh minced beef in an attempt to rapidly monitor beef spoilage. Minced beef packaged either aerobically, under modified atmosphere and using an active packaging were held from freshness to spoilage at 0, 5, 10, and 15°C. Frequent FTIR measurements were collected directly from the sample surface using attenuated total reflectance, in parallel the total viable counts of bacteria, the sensory quality and the pH were also determined. Principal components analysis allowed illuminating the wavenumbers potentially correlated with the spoilage process. Qualitative interpretation of spectral data was carried out using discriminant factorial analysis and used to corroborate sensory data and to accurately determine samples freshness and packaging. Partial least-squares regressions permitted estimates of bacterial loads and pH values from the spectral data with a fit of R(2)=0.80 for total viable counts and fit of R(2)=0.92 for the pH. Obtained results demonstrated that a FTIR spectrum may be considered as a metabolic fingerprint and that the method in tandem with chemometrics represents a powerful, rapid, economical and non-invasive method for monitoring minced beef freshness regardless the storage conditions (e.g. packaging and temperature).

[1]  C. O. Gill,et al.  The storage life of non-muscle offals packaged under vacuum or carbon dioxide*** , 1991 .

[2]  Philip G. Crandall,et al.  Meat, poultry and seafood. , 2007 .

[3]  Romain Briandet,et al.  Discrimination of Arabica and Robusta in Instant Coffee by Fourier Transform Infrared Spectroscopy and Chemometrics , 1996 .

[4]  B. Lendl,et al.  Rapid method for the discrimination of red wine cultivars based on mid-infrared spectroscopy of phenolic wine extracts. , 2001, Journal of agricultural and food chemistry.

[5]  D. Kell,et al.  Rapid and Quantitative Detection of the Microbial Spoilage of Meat by Fourier Transform Infrared Spectroscopy and Machine Learning , 2002, Applied and Environmental Microbiology.

[6]  E. K. Kemsley,et al.  Near- and Mid-Infrared Spectroscopies in Food Authentication: Coffee Varietal Identification , 1997 .

[7]  Y. Man,et al.  ANALYSIS OF ADULTERATION OF VIRGIN COCONUT OIL BY PALM KERNEL OLEIN USING FOURIER TRANSFORM INFRARED SPECTROSCOPY , 2007 .

[8]  D. Kell,et al.  Metabolomics by numbers: acquiring and understanding global metabolite data. , 2004, Trends in biotechnology.

[9]  C. O. Gill,et al.  The control of microbial spoilage in fresh meats , 1986 .

[10]  R H Dainty,et al.  Chemical/biochemical detection of spoilage. , 1996, International journal of food microbiology.

[11]  R. G. Board,et al.  The microbiology of meat and poultry , 1998 .

[12]  F. Villani,et al.  Effect of a bacteriocin‐activated polythene film on Listeria monocytogenes as evaluated by viable staining and epifluorescence microscopy , 2006, Journal of applied microbiology.

[13]  E. K. Kemsley,et al.  Mid-infrared spectroscopy and chemometrics for the authentication of meat products. , 1999, Journal of agricultural and food chemistry.

[14]  G. Nychas,et al.  Effect of oregano essential oil on microbiological and physico‐chemical attributes of minced meat stored in air and modified atmospheres , 2001, Journal of applied microbiology.

[15]  G. Nychas,et al.  Modeling and predicting spoilage of cooked, cured meat products by multivariate analysis. , 2007, Meat science.

[16]  Royston Goodacre,et al.  Rapid identification of closely related muscle foods by vibrational spectroscopy and machine learning. , 2005, The Analyst.

[17]  J Baranyi,et al.  A dynamic approach to predicting bacterial growth in food. , 1994, International journal of food microbiology.

[18]  Gerard Downey,et al.  Detection of sugar adulterants in apple juice using fourier transform infrared spectroscopy and chemometrics. , 2005, Journal of agricultural and food chemistry.

[19]  George-John E. Nychas,et al.  Chemical changes in stored meat , 1998 .

[20]  Gerard Downey,et al.  Application of Fourier transform midinfrared spectroscopy to the discrimination between Irish artisanal honey and such honey adulterated with various sugar syrups. , 2006, Journal of agricultural and food chemistry.

[21]  G. Socrates,et al.  Infrared and Raman characteristic group frequencies : tables and charts , 2001 .

[22]  M H Zwietering,et al.  Information systems in food safety management. , 2006, International journal of food microbiology.

[23]  E. K. Kemsley,et al.  Detection of adulteration in cooked meat products by mid-infrared spectroscopy. , 2002, Journal of agricultural and food chemistry.

[24]  Jay P. Gore,et al.  Authentication of Olive Oil Adulterated with Vegetable Oils Using Fourier Transform Infrared Spectroscopy , 2002 .

[25]  Jian He,et al.  Midinfrared spectroscopy for juice authentication-rapid differentiation of commercial juices. , 2007, Journal of agricultural and food chemistry.

[26]  George-John E. Nychas,et al.  Spoilage Processes and Proteolysis in Chicken as Detected by HPLC , 1997 .

[27]  Royston Goodacre,et al.  Rapid and quantitative detection of the microbial spoilage of muscle foods: current status and future trends. , 2001 .

[28]  Panagiotis N Skandamis,et al.  Preservation of fresh meat with active and modified atmosphere packaging conditions. , 2002, International journal of food microbiology.

[29]  G. Nychas,et al.  Fresh meat spoilage and modified atmosphere packaging (MAP). , 2005 .

[30]  R. Robinson Developments in Food Microbiology―3 , 1988 .

[31]  G. Nychas,et al.  Meat spoilage during distribution. , 2008, Meat science.

[32]  E. Tsigarida,et al.  Ecophysiological attributes of a Lactobacillus sp. and a Pseudomonas sp. on sterile beef fillets in relation to storage temperature and film permeability , 2001, Journal of applied microbiology.

[33]  F. Villani,et al.  Changes in the Spoilage-Related Microbiota of Beef during Refrigerated Storage under Different Packaging Conditions , 2006, Applied and Environmental Microbiology.