Usefulness of near-infrared reflectance (NIR) spectroscopy and chemometrics to discriminate fishmeal batches made with different fish species.

Near-infrared reflectance (NIR) spectroscopy combined with chemometrics was used to identify and authenticate fishmeal batches made with different fish species. Samples from a commercial fishmeal factory (n = 60) were scanned in the NIR region (1100-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), dummy partial least-squares regression (DPLS), and linear discriminant analysis (LDA) based on PCA scores were used to identify the origin of fishmeal produced using different fish species. Cross-validation was used as validation method when classification models were developed. DPLS correctly classified 80 and 82% of the fishmeal samples. LDA calibration models correctly classified >80% of fishmeal samples according to fish species The results demonstrated the usefulness of NIR spectra combined with chemometrics as an objective and rapid method for the authentication and identification of fish species used to manufacture the fishmeal.

[1]  Gerard Downey,et al.  Preliminary studies for the differentiation of apple juice samples by chemometric analysis of solid-phase microextraction-gas chromatographic data. , 2004, Journal of agricultural and food chemistry.

[2]  C von Holst,et al.  An overview of tests for animal tissues in feeds applied in response to public health concerns regarding bovine spongiform encephalopathy. , 2003, Revue scientifique et technique.

[3]  Gerard Downey,et al.  Tutorial review. Qualitative analysis in the near-infrared region , 1994 .

[4]  Christophe Cordella,et al.  Recent developments in food characterization and adulteration detection: technique-oriented perspectives. , 2002, Journal of agricultural and food chemistry.

[5]  Gerard Downey,et al.  Authentication of Food and Food Ingredients by near Infrared Spectroscopy , 1996 .

[6]  D. Higgs,et al.  Fish meal quality assessment for Atlantic salmon (Salmo salar L.) reared in sea water , 1997 .

[7]  Daniel Cozzolino,et al.  Visible and near Infrared Spectroscopy of Beef Longissimus Dorsi Muscle as a Means of Dicriminating between Pasture and Corn Silage Feeding Regimes , 2002 .

[8]  P. Williams,et al.  Chemical principles of near-infrared technology , 1987 .

[9]  Marcelo Blanco,et al.  NIR spectroscopy: a rapid-response analytical tool , 2002 .

[10]  Trevor K. Smith,et al.  Effect of fishmeal made from stale versus fresh herring and of added crystalline biogenic amines on growth and survival of blue shrimp Litopenaeus stylirostris fed practical diets , 2004 .

[11]  D. Givens,et al.  Near-infrared (NIR) spectroscopy: an alternative approach for the estimation of forage quality and voluntary intake. , 2000 .

[12]  Ian Murray,et al.  Use of Discriminant Analysis on Visible and near Infrared Reflectance Spectra to Detect Adulteration of Fishmeal with Meat and Bone Meal , 2001 .

[13]  Tormod Næs,et al.  A user-friendly guide to multivariate calibration and classification , 2002 .

[14]  B. Jørgensen,et al.  Rapid Assessment of Quality Parameters for Frozen Cod Using Near Infrared Spectroscopy , 1998 .

[15]  J. Fontaine,et al.  Near-infrared reflectance spectroscopy enables the fast and accurate prediction of the essential amino acid contents in soy, rapeseed meal, sunflower meal, peas, fishmeal, meat meal products, and poultry meal. , 2001, Journal of agricultural and food chemistry.

[16]  A. Garrido-Varo,et al.  Near-infrared reflectance spectroscopy (NIRS) for the mandatory labelling of compound feedingstuffs: chemical composition and open-declaration , 2004 .

[17]  J. Andrieu,et al.  Near infrared reflectance spectroscopy to predict energy value of compound feeds for swine and ruminants , 1996 .

[18]  T. Næs,et al.  Multivariate strategies for classification based on NIR-spectra—with application to mayonnaise , 1999 .

[19]  Daniel Cozzolino,et al.  The assessment of the chemical composition of fishmeal by near infrared reflectance spectroscopy , 2002 .

[20]  Haibiao Ding,et al.  Identification of broiler chicken meat using a visible/near-infrared spectroscopic technique , 1999 .

[21]  H. B. Ding,et al.  Differentiation of Beef and Kangaroo Meat by Visible/Near-Infrared Reflectance Spectroscopy , 1999 .