Near infrared and fluorescence spectroscopic methods and electronic nose technology for monitoring foods

There is a clear need for application of proper methods for measuring food quality and safety in the globalized food-webs. Numerous instrumental methods have been established in the course of the 20th century and are developing further, together with data analysis techniques, for such purposes. Among them, near-infrared and fluorescence spectroscopic methods and chemical sensor arrays called electronic noses show particular promise for rapid, non-destructive, non-invasive and cost-effective ways for assessing changes and enhancing control during processing and storage of foods. Their key advantages as analytical tools are 1) their relatively high speed of analysis, 2) the lack of a need to carry out complex sample preparation or processing, 3) their relatively low cost, and 4) their suitability for on-line monitoring or quality control. The present survey attempts to demonstrate examples from the above areas, limiting itself mainly to monitoring some quality indices which contribute to the functionality o...

[1]  Ann Van Loey,et al.  Effect of high-pressure processing on colour, texture and flavour of fruit- and vegetable-based food products: a review , 2008 .

[2]  Ingemar Lundström,et al.  Monitoring sausage fermentation using an electronic nose , 1998 .

[3]  Jens Petter Wold,et al.  Rapid Assessment of Rancidity in Complex Meat Products by Front Face Fluorescence Spectroscopy , 2002 .

[4]  J Moan,et al.  Measurement of lipid oxidation and porphyrins in high oxygen modified atmosphere and vacuum-packed minced turkey and pork meat by fluorescence spectra and images. , 2006, Meat science.

[5]  M. Karel,et al.  Assessment of Autoxidation in Freeze-Dried Meats by a Fluorescence Assay , 1984 .

[6]  A. Peirs,et al.  Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .

[7]  J. W. Arnold,et al.  Electronic nose analysis of volatile compounds from poultry meat samples, fresh and after refrigerated storage , 2002 .

[8]  Barbara Siegmund,et al.  Changes of the volatile fraction of cooked chicken meat during chill storing: results obtained by the electronic nose in comparison to GC-MS and GC olfactometry , 1999 .

[9]  G. Downey,et al.  Discrimination between fresh and frozen-then-thawed beef m. longissimus dorsi by combined visible-near infrared reflectance spectroscopy: A feasibility study. , 1997, Meat science.

[10]  Harald Martens,et al.  Freshness Assessment of Thawed and Chilled Cod Fillets Packed in Modified Atmosphere Using Near-infrared Spectroscopy , 2002 .

[11]  J. Gardner,et al.  Electronic noses and their application in the food industry , 1997 .

[12]  Floyd E. Dowell,et al.  Predicting Scab, Vomitoxin, and Ergosterol in Single Wheat Kernels Using Near-Infrared Spectroscopy , 1999 .

[13]  B. P. Marks,et al.  Visible/near-infrared spectroscopy for physical characteristics of cooked chicken patties. , 2008 .

[14]  B. Nicolaï,et al.  Front face fluorescence spectroscopy as a tool for the assessment of egg freshness during storage at a temperature of 12.2 degrees C and 87% relative humidity. , 2007, Analytica chimica acta.

[15]  B. P. Marks,et al.  Evaluating Previous Thermal Treatment of Chicken Patties by Visible/Near‐Infrared Spectroscopy , 1997 .

[16]  J. Wold,et al.  Fluorescence in aldehyde model systems related to lipid oxidation , 2006 .

[17]  Eric Dufour,et al.  Development of a rapid method based on front-face fluorescence spectroscopy for the monitoring of fish freshness , 2003 .

[18]  J. Farkas,et al.  Effects of pressure- and thermal-pasteurization on volatiles of some berry fruits , 2007 .

[19]  Frank Westad,et al.  Prediction of Microbial and Sensory Quality of Cold Smoked Atlantic Salmon (Salmo salar) by Electronic Nose , 2006 .

[20]  R. Romvári,et al.  A near infrared spectroscopic (NIR) approach to estimate quality alterations during prolonged heating of lard , 2009 .

[21]  Y R Chen,et al.  Two-dimensional visible/near-infrared correlation spectroscopy study of thermal treatment of chicken meats. , 2000, Journal of agricultural and food chemistry.

[22]  I. Băianu,et al.  High-Resolution Near-Infrared and Nuclear Magnetic Resonance Analysis of Food and Grain Composition , 2008 .

[23]  Evaluation of the quality of frozen minced red hake: use of fourier transform near-infrared spectroscopy. , 1998 .

[24]  J. Baerdemaeker,et al.  Monitoring the Egg Freshness During Storage Under Modified Atmosphere by Fluorescence Spectroscopy , 2008 .

[25]  A. Riaublanc,et al.  Potentiality of spectroscopic methods for the characterisation of dairy products. I. Front-face fluorescence study of raw, heated and homogenised milks , 1997 .

[26]  R. Connelly,et al.  Innovative uses of near-infrared spectroscopy in food processing. , 2008, Journal of food science.

[27]  Lijuan Xie,et al.  Quantification of chlorophyll content and classification of nontransgenic and transgenic tomato leaves using visible/near-infrared diffuse reflectance spectroscopy. , 2007, Journal of agricultural and food chemistry.

[28]  Norio Miura,et al.  Application of semiconductor gas sensor to quality control of meat freshness in food industry , 1995 .

[29]  F. Winquist,et al.  Electronic nose for microbial quality classification of grains. , 1997, International journal of food microbiology.

[30]  Søren Balling Engelsen,et al.  Explorative spectrometric evaluations of frying oil deterioration , 1997 .

[31]  W. Du,et al.  Potential application of the electronic nose for quality assessment of salmon fillets under various storage conditions , 2002 .

[32]  F. Dowell,et al.  Assessment of Heat-Damaged Wheat Kernels Using Near-Infrared Spectroscopy , 2001 .

[33]  J. D. De Baerdemaeker,et al.  Development of a rapid method based on front face fluorescence spectroscopy for the monitoring of egg freshness: 1—evolution of thick and thin egg albumens , 2006 .

[34]  H. T. Nagle,et al.  Effectiveness of an Electronic Nose for Monitoring Bacterial and Fungal Growth , 2000 .

[35]  Tiina Rajamäki,et al.  Application of an electronic nose for quality assessment of modified atmosphere packaged poultry meat , 2006 .

[36]  István Dalmadi,et al.  Investigating the properties of egg white pasteurised by ultra-high hydrostatic pressure and gamma irradiation by evaluating their NIR spectra and chemosensor array sensor signal responses using different methods of qualitative analysis , 2006 .

[37]  Theodore P. Labuza,et al.  Evaluation of front-face fluorescence for assessing thermal processing of milk , 2006 .

[38]  D A Hutchins,et al.  A near-infrared (NIR) technique for imaging food materials. , 2009, Journal of food science.

[39]  A. Davies,et al.  Screening of tomato purée for excessive mould content by near infrared spectroscopy: A preliminary evaluation , 1987 .

[40]  Antonella Macagnano,et al.  Multisensor for fish quality determination , 2004 .

[41]  A. Cavinato,et al.  Rapid and quantitative detection of the microbial spoilage in chicken meat by diffuse reflectance spectroscopy (600–1100 nm) , 2004, Letters in applied microbiology.

[42]  Huirong Xu,et al.  Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: A review , 2008 .

[43]  C. Giardina,et al.  A Preliminary Study Using Fourier Transform near Infrared Spectroscopy to Monitor the Shelf-Life of Packed Industrial Ricotta Cheese , 2005 .

[44]  Ubonrat Siripatrawan,et al.  Self-organizing algorithm for classification of packaged fresh vegetable potentially contaminated with foodborne pathogens , 2008 .

[45]  A. Salgó,et al.  Correlation Between NIR Spectra and RVA Parameters During Germination of Maize , 2007 .

[46]  K. Kaffka How the NIR technology came to and spread in Europe for quality assessment and control in the food industry , 2008 .

[47]  A. Fekete,et al.  Instrumental analysis of strawberry puree processed by high hydrostatic pressure or thermal treatment , 2007 .

[48]  C. Mohácsi-Farkas,et al.  Comparative studies on gamma radiation and high pressure induced effects on minced beef , 2002 .

[49]  E. Borch,et al.  Using an electronic nose for determining the spoilage of vacuum-packaged beef. , 1999, International journal of food microbiology.

[50]  J. Farkas,et al.  Changes of hen eggs and their components caused by non-thermal pasteurizing treatments II. Some non-microbiological effects of gamma irradiation or hydrostatic pressure processing on liquid egg white and egg yolk , 2006 .

[51]  Karsten Heia,et al.  Visible/Near‐Infrared Spectroscopy: A New Tool for the Evaluation of Fish Freshness? , 2002 .

[52]  Kristof Mertens,et al.  Visible transmission spectroscopy for the assessment of egg freshness , 2006 .

[53]  N. Magan,et al.  Detection and differentiation between mycotoxigenic and non‐mycotoxigenic strains of two Fusarium spp. using volatile production profiles and hydrolytic enzymes , 2000, Journal of applied microbiology.

[54]  Ubonratana Siripatrawan,et al.  Rapid method for prediction of Escherichia coli numbers using an electronic sensor array and an artificial neural network. , 2004, Journal of food protection.

[55]  Jae Hyun Kim,et al.  Microbiological, sensory, and electronic nose evaluation of yellowfin tuna under various storage conditions. , 2001, Journal of food protection.

[56]  Jens Petter Wold,et al.  Nondestructive Assessment of Lipid Oxidation in Minced Poultry Meat by Autofluorescence Spectroscopy , 2000 .

[57]  J. Baerdemaeker,et al.  Development of a rapid method based on front-face fluorescence spectroscopy for the monitoring of egg freshness: 2—evolution of egg yolk , 2006 .

[58]  István Dalmadi,et al.  A preliminary study using near infrared spectroscopy to evaluate freshness and detect spoilage in sliced pork meat , 2008 .

[59]  J. Farkas,et al.  Estimation of bacteriological spoilage of pork cutlets by electronic nose. , 2007, Acta microbiologica et immunologica Hungarica.

[60]  Søren Balling Engelsen,et al.  Auto fluorescence Spectroscopy in Food Analysis , 2008 .

[61]  P. Butz,et al.  Recent Developments in Noninvasive Techniques for Fresh Fruit and Vegetable Internal Quality Analysis , 2006 .

[62]  Murat O. Balaban,et al.  Electronic Nose Technology in Food Analysis , 2008 .

[63]  Julian W. Gardner,et al.  Monitoring of Fish Freshness Using Tin Oxide Sensors , 1992 .

[64]  Yibin Ying,et al.  Measurement of internal quality in chicken eggs using visible transmittance spectroscopy technology , 2007 .

[65]  A. Salgó,et al.  Relationship Between NIR Spectra and RVA Parameters During Wheat Germination , 2005 .

[66]  Murat O. Balaban,et al.  Objective Quality Assessment of Raw Tilapia (Oreochromis niloticus) Fillets Using Electronic Nose and Machine Vision , 2001 .