Detection and Quantification of Species Authenticity and Adulteration in Crabmeat Using Visible and Near-infrared Spectroscopy.
From: Department of Biological and Agricultural Engineering, North Carolina State University, Box 7625, Raleigh, NC 27695-0001, USA.
Journal of agricultural and food chemistry
- Publish Date: Feb 2007
- ISSN: 0021-8561
- Volume: 55
- Issue: 3
- Pages: 585-92
- Medium: Print
- Language: English
- Citation (JAMA): Gayo Javier, Hale Scott A, et al. Detection and Quantification of Species Authenticity and Adulteration in Crabmeat Using Visible and Near-infrared Spectroscopy.. J. Agric. Food Chem. Feb 2007;55:585-92
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.
Mesh Headings (Keywords): Animals, Brachyura, Food Contamination, Seafood, Spectroscopy, Near-Infrared, Spectrum Analysis
Check for Full Text / PubMed Unique Identifier (PMID): 17263445
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