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Descripción
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| The popularity of Peanut (Arachis hypogaea) as a food ingredient in commercial food materials has made it a threat to the people suffering from peanut allergy. In food industries the use of a common environment for grinding peanuts and other food materials like wheat, cocoa etc. has increased the possibility of finding peanut traces in other powder food products. Two analytical methods are generally used for the detection of peanut traces, Enzyme-Linked Immunosorbent Assay (ELISA) (Scaravelli et al., 2008; Platteau et al., 2011) and Real Time Polymerase Chain Reaction (RT PCR) (López-Calleja et al., 2013). These two techniques, ELISA and RT PCR, present high specificity and sensitivity with more time consumption and requirement of human involvement with high experimentation skills. Alternatively, hyperspectral imaging (HSI) offers an opportunity for quick and easy detection of peanut contamination. Recent studies illustrate the wide applicability of HSI on the detection of adulterants in powder food, some examples are its application for monitoring powder flows (Sheibelhofer et al., 2012), quantifying adulterants in ground black pepper (C.M. McGoverin et al., 2012) and detection of melamine and cyanuric acid in feed (J.A. Fernández Pierna et al., 2014). The objective of the present work is to study the feasibility to detect the peanut traces in the wheat flour with the combined use of hyperspectral imaging spectroscopy and chemometric analysis. | |
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Internacional
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Si |
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Nombre congreso
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Hyperspectral Imaging and Applications Conference |
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Tipo de participación
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960 |
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Lugar del congreso
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Coventry, UK |
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Revisores
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ISBN o ISSN
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DOI
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Fecha inicio congreso
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15/10/2014 |
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Fecha fin congreso
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16/10/2014 |
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Título de las actas
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