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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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| Published in: | Journal of the science of food and agriculture 2017-01, Vol.97 (1), p.317-323 |
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| cites | cdi_FETCH-LOGICAL-c3535-bbf8e973fb51c0bd3cf9e6355852e1eda77d9fe2ca3e4e6ac1bbfab2ea6727e13 |
| container_end_page | 323 |
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| container_title | Journal of the science of food and agriculture |
| container_volume | 97 |
| creator | Durmuş, Efkan Güneş, Ali Kalkan, Habil |
| description | 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 |
| doi_str_mv | 10.1002/jsfa.7735 |
| format | article |
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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</description><identifier>ISSN: 0022-5142</identifier><identifier>EISSN: 1097-0010</identifier><identifier>DOI: 10.1002/jsfa.7735</identifier><identifier>PMID: 27018345</identifier><identifier>CODEN: JSFAAE</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>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</subject><ispartof>Journal of the science of food and agriculture, 2017-01, Vol.97 (1), p.317-323</ispartof><rights>2016 Society of Chemical Industry</rights><rights>2016 Society of Chemical Industry.</rights><rights>Copyright © 2017 Society of Chemical Industry</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3535-bbf8e973fb51c0bd3cf9e6355852e1eda77d9fe2ca3e4e6ac1bbfab2ea6727e13</citedby><cites>FETCH-LOGICAL-c3535-bbf8e973fb51c0bd3cf9e6355852e1eda77d9fe2ca3e4e6ac1bbfab2ea6727e13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27018345$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Durmuş, Efkan</creatorcontrib><creatorcontrib>Güneş, Ali</creatorcontrib><creatorcontrib>Kalkan, Habil</creatorcontrib><title>Detection of aflatoxin and surface mould contaminated figs by using Fourier transform near‐infrared reflectance spectroscopy</title><title>Journal of the science of food and agriculture</title><addtitle>J Sci Food Agric</addtitle><description>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</description><subject>aflatoxin</subject><subject>Aflatoxins - analysis</subject><subject>Aspergillus flavus - chemistry</subject><subject>Aspergillus flavus - isolation & purification</subject><subject>Ficus</subject><subject>Fluorescence</subject><subject>Food contamination & poisoning</subject><subject>Food Microbiology - methods</subject><subject>Fruit - chemistry</subject><subject>Fruit - classification</subject><subject>Fruit - microbiology</subject><subject>Mold</subject><subject>near‐infrared spectroscopy</subject><subject>non‐invasive inspection</subject><subject>Spectroscopy, Fourier Transform Infrared</subject><subject>Spectrum analysis</subject><subject>surface mould</subject><subject>Toxins</subject><issn>0022-5142</issn><issn>1097-0010</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kLtOxDAQRS0EguVR8APIEhVFwI7X8aZEwPIQEgVQRxNnjLxK7MVOBNsgPoFv5EvwskBHNZbm-MzVJWSfs2POWH4yiwaOlRJyjYw4K1XGGGfrZJR2eSb5ON8i2zHOGGNlWRSbZCtXjE_EWI7I2zn2qHvrHfWGgmmh96_WUXANjUMwoJF2fmgbqr3robMOemyosU-R1gs6ROue6NQPwWKgfQAXjQ8ddQjh8_3DOhMgJD6gadMZcEkX5-kVfNR-vtglGwbaiHs_c4c8Ti8ezq6y27vL67PT20wLKWRW12aCpRKmllyzuhHalFgIKScyR44NKNWUBnMNAsdYgObpB9Q5QqFyhVzskMOVdx7884Cxr2Yps0snq1REIeVYTIpEHa0oneLFlLmaB9tBWFScVcumq2XT1bLpxB78GIe6w-aP_K02AScr4MW2uPjfVN3cT0-_lV8ml41_</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Durmuş, Efkan</creator><creator>Güneş, Ali</creator><creator>Kalkan, Habil</creator><general>John Wiley & Sons, Ltd</general><general>John Wiley and Sons, Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QL</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7ST</scope><scope>7T5</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>201701</creationdate><title>Detection of aflatoxin and surface mould contaminated figs by using Fourier transform near‐infrared reflectance spectroscopy</title><author>Durmuş, Efkan ; Güneş, Ali ; Kalkan, Habil</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3535-bbf8e973fb51c0bd3cf9e6355852e1eda77d9fe2ca3e4e6ac1bbfab2ea6727e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>aflatoxin</topic><topic>Aflatoxins - analysis</topic><topic>Aspergillus flavus - chemistry</topic><topic>Aspergillus flavus - isolation & purification</topic><topic>Ficus</topic><topic>Fluorescence</topic><topic>Food contamination & poisoning</topic><topic>Food Microbiology - methods</topic><topic>Fruit - chemistry</topic><topic>Fruit - classification</topic><topic>Fruit - microbiology</topic><topic>Mold</topic><topic>near‐infrared spectroscopy</topic><topic>non‐invasive inspection</topic><topic>Spectroscopy, Fourier Transform Infrared</topic><topic>Spectrum analysis</topic><topic>surface mould</topic><topic>Toxins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Durmuş, Efkan</creatorcontrib><creatorcontrib>Güneş, Ali</creatorcontrib><creatorcontrib>Kalkan, Habil</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Journal of the science of food and agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Durmuş, Efkan</au><au>Güneş, Ali</au><au>Kalkan, Habil</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of aflatoxin and surface mould contaminated figs by using Fourier transform near‐infrared reflectance spectroscopy</atitle><jtitle>Journal of the science of food and agriculture</jtitle><addtitle>J Sci Food Agric</addtitle><date>2017-01</date><risdate>2017</risdate><volume>97</volume><issue>1</issue><spage>317</spage><epage>323</epage><pages>317-323</pages><issn>0022-5142</issn><eissn>1097-0010</eissn><coden>JSFAAE</coden><abstract>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</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><pmid>27018345</pmid><doi>10.1002/jsfa.7735</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
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| ispartof | Journal of the science of food and agriculture, 2017-01, Vol.97 (1), p.317-323 |
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| source | Wiley |
| 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 |
| title | Detection of aflatoxin and surface mould contaminated figs by using Fourier transform near‐infrared reflectance spectroscopy |
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