Literature DB >> 10552633

Mid-infrared spectroscopy and chemometrics for the authentication of meat products.

O Al-Jowder1, M Defernez, E K Kemsley, R H Wilson.   

Abstract

Mid-infrared (MIR) spectroscopy is used to address certain issues connected with the authentication of beef and ox kidney and liver: is it possible to distinguish muscle from offal tissue; does the condition, cut of meat, or type of offal influence the distinction; can pure minced beef be distinguished from that adulterated with offal? Using partial least squares (PLS) and canonical variate analysis, predictive models are developed to identify MIR spectra of beef, kidney, and liver. Using modified SIMCA, the pure beef specimens are modeled as a single class; this model identifies spectra of unadulterated beef as such, with an acceptable error rate, while rejecting spectra of specimens containing 10-100% w/w kidney or liver. Finally, PLS regressions are performed to quantify the amount of added offal. The prediction errors obtained (+/-4.8 and +/-4.0% w/w, respectively, for the kidney and liver calibrations) are commensurate with the detection limits suggested by the SIMCA analysis.

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Year:  1999        PMID: 10552633     DOI: 10.1021/jf981196d

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  4 in total

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2.  Detection and quantification of offal content in ground beef meat using vibrational spectroscopic-based chemometric analysis.

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Review 3.  Spectroscopic techniques for authentication of animal origin foods.

Authors:  Vandana Chaudhary; Priyanka Kajla; Aastha Dewan; R Pandiselvam; Claudia Terezia Socol; Cristina Maria Maerescu
Journal:  Front Nutr       Date:  2022-09-20

4.  Evaluation of three field-based methods for quantifying soil carbon.

Authors:  Roberto C Izaurralde; Charles W Rice; Lucian Wielopolski; Michael H Ebinger; James B Reeves; Allison M Thomson; Ronny Harris; Barry Francis; Sudeep Mitra; Aaron G Rappaport; Jorge D Etchevers; Kenneth D Sayre; Bram Govaerts; Gregory W McCarty
Journal:  PLoS One       Date:  2013-01-31       Impact factor: 3.240

  4 in total

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