Literature DB >> 17263445

Detection and quantification of species authenticity and adulteration in crabmeat using visible and near-infrared spectroscopy.

Javier Gayo1, Scott A Hale.   

Abstract

Seafood processing often removes morphological properties of seafood species that enable the consumer to distinguish one type of organism from another. For this reason, species substitution is the most common form of economic adulteration in the seafood industry. Visible and near-infrared spectroscopy (Vis/NIR) has been used to detect and quantify species authenticity and adulteration in crabmeat samples. Atlantic blue crabmeat was adulterated with blue swimmer crabmeat in 10% increments. Water absorption bands dominated the main features in the crabmeat spectra, with a decrease in sample absorbance with increasing adulteration percentage. Several data pretreatments, i.e., moving average, combing, first and second derivatives, and multiplicative scatter correction, in addition to the raw data, were investigated for prediction and quantitative data analysis using partial least-squares. In addition, quantitative analysis was done using the full spectrum and a sequential approach in which 50 wavelengths were added sequentially to determine a new model and find an optimal solution. The results suggest that Vis/NIR spectroscopy is a suitable technology that can be applied to detect and quantify species authenticity and adulteration in crabmeat.

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Year:  2007        PMID: 17263445     DOI: 10.1021/jf061801+

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


  3 in total

1.  Application of principal component-radial basis function neural networks (PC-RBFNN) for the detection of water-adulterated bayberry juice by near-infrared spectroscopy.

Authors:  Li-juan Xie; Xing-qian Ye; Dong-hong Liu; Yi-bin Ying
Journal:  J Zhejiang Univ Sci B       Date:  2008-12       Impact factor: 3.066

2.  Field Detection of Rhizoctonia Root Rot in Sugar Beet by Near Infrared Spectrometry.

Authors:  Leilane C Barreto; Rosa Martínez-Arias; Axel Schechert
Journal:  Sensors (Basel)       Date:  2021-12-02       Impact factor: 3.576

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
  3 in total

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