Detection of aflatoxin and surface mould contaminated figs by using Fourier transform near‐infrared reflectance spectroscopy

BACKGROUND Aflatoxins are toxic metabolites that are mainly produced by members of the Aspergillus section Flavi on many agricultural products. Certain agricultural products such as figs are known to be high risk products for aflatoxin contamination. Aflatoxin contaminated figs may show a bright gre...

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Bibliographic Details
Published in:Journal of the science of food and agriculture 2017-01, Vol.97 (1), p.317-323
Main Authors: Durmuş, Efkan, Güneş, Ali, Kalkan, Habil
Format: Article
Language:English
Subjects:
aflatoxin
Aflatoxins - analysis
Aspergillus flavus - chemistry
Aspergillus flavus - isolation & purification
Ficus
Fluorescence
Food contamination & poisoning
Food Microbiology - methods
Fruit - chemistry
Fruit - classification
Fruit - microbiology
Mold
near‐infrared spectroscopy
non‐invasive inspection
Spectroscopy, Fourier Transform Infrared
Spectrum analysis
surface mould
Toxins
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Summary:BACKGROUND Aflatoxins are toxic metabolites that are mainly produced by members of the Aspergillus section Flavi on many agricultural products. Certain agricultural products such as figs are known to be high risk products for aflatoxin contamination. Aflatoxin contaminated figs may show a bright greenish yellow fluorescence (BGYF) under ultraviolet (UV) light at a wavelength of 365 nm. Traditionally, BGYF positive figs are manually selected by workers. However, manual selection depends on the expertise level of the workers and it may cause them skin‐related health problems due to UV radiation. RESULTS In this study, we propose a non‐invasive approach to detect aflatoxin and surface mould contaminated figs by using Fourier transform near‐infrared (FT‐NIR) reflectance spectroscopy. A classification accuracy of 100% is achieved for classifying the figs into aflatoxin contaminated/uncontaminated and surface mould contaminated/uncontaminated categories. In addition, a strong correlation has been found between aflatoxin and surface mould. CONCLUSION Combined with pattern classification methods, the NIR spectroscopy can be used to detect aflatoxin contaminated figs non‐invasively. Furthermore, a positive correlation between surface mould and aflatoxin contamination leads to a promising alternative indicator for the detection of aflatoxin‐contaminated figs. © 2016 Society of Chemical Industry
ISSN:0022-5142
1097-0010
DOI:10.1002/jsfa.7735