Literature DB >> 28523863

Feasibility of near infrared transmittance spectroscopy to predict fatty acid composition of commercial processed meat.

Massimo De Marchi1, Carmen L Manuelian1, Sofia Ton1, Martino Cassandro1, Mauro Penasa1.   

Abstract

BACKGROUND: The new European Regulation 1169/2011 concerning nutrition declaration of food products compels the addition of saturated fatty acids, whereas the declaration of monounsaturated and polyunsaturated fatty acids remains voluntary. Therefore, the industry is interested in a more rapid, easy and less cost-effective analysis method for accomplishing this labelling regulation. The present study aimed to evaluate the ability of near infrared transmittance spectroscopy (wavelengths between 850 and 1050 nm) to predict the fatty acid (FA) composition of commercial processed meat samples (n = 310).
RESULTS: Good predictions were achieved for the absolute content of saturated, unsaturated, monounsaturated and polyunsaturated FA, as well as ω-6 groups, and also for a few individual FA (C16:0, C18:0, C18:1n9, C18:2n6 and 18:1n7), with the coefficient of determination in cross-validation being > 0.90 and the residual prediction deviation being > 3.15. Unsatisfactory models were obtained for the relative content of FA.
CONCLUSION: Near infrared transmittance spectroscopy can be considered as a reliable method for predicting the main groups of FA in processed meat products, whereas predictions of individual FA are less reliable.
© 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

Entities:  

Keywords:  chemometrics; fatty acid; infrared spectroscopy; processed meat

Mesh:

Substances:

Year:  2017        PMID: 28523863     DOI: 10.1002/jsfa.8438

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  2 in total

1.  At-line Prediction of Gelatinized Starch and Fiber Fractions in Extruded Dry Dog Food Using Different Near-Infrared Spectroscopy Technologies.

Authors:  Arianna Goi; Carmen L Manuelian; Federico Righi; Massimo De Marchi
Journal:  Animals (Basel)       Date:  2020-05-16       Impact factor: 2.752

2.  Prediction of Mineral Composition in Commercial Extruded Dry Dog Food by Near-Infrared Reflectance Spectroscopy.

Authors:  Arianna Goi; Carmen L Manuelian; Sarah Currò; Massimo De Marchi
Journal:  Animals (Basel)       Date:  2019-09-01       Impact factor: 2.752

  2 in total

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