Analysis of furan in foods. Is headspace sampling a fit-for-purpose technique?
Identifieur interne : 000450 ( Ncbi/Merge ); précédent : 000449; suivant : 000451Analysis of furan in foods. Is headspace sampling a fit-for-purpose technique?
Auteurs : Hamide Z. Senyuva [Turquie] ; Vural GökmenSource :
- Food additives and contaminants [ 0265-203X ] ; 2005.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Flavoring Agents, Furans.
- chemical , chemistry : Coffee.
- chemistry : Citrus sinensis, Lycopersicon esculentum.
- methods : Food Analysis, Gas Chromatography-Mass Spectrometry.
- Calibration, Hydrogen-Ion Concentration, Temperature, Time Factors.
Abstract
Headspace GC-MS has been optimized for the determination of furan in foods. The conditions of sample preparation, headspace sampling and GC separation were optimized to enhance sensitivity during GC-MS analysis. Green coffee was used to prepare a matrix matched calibration curve for furan. However, it was unexpectedly found that a green coffee sample was not blank. GC-MS analysis performed after equilibration for 30 min at 40 degrees C showed the presence of 4.2 ng/g furan in green coffee. In order to understand whether furan was naturally present or formed during headspace sampling, green coffee was investigated in time-dependent manner at headspace equilibration temperatures of 40 and 70 degrees C. It was observed that furan response continued to increase in a way similar to first order formation kinetics. The same behavior was found for freshly squeezed tomato and orange juices leading to the suspicion of furan formation during headspace equilibration. It is concluded that a matrix matched calibration for each particular food matrix is necessary to compensate for furan formation during headspace sampling, and thus, to quantify furan more accurately.
DOI: 10.1080/02652030500337310
PubMed: 16356882
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pubmed:16356882Le document en format XML
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<author><name sortKey="Senyuva, Hamide Z" sort="Senyuva, Hamide Z" uniqKey="Senyuva H" first="Hamide Z" last="Senyuva">Hamide Z. Senyuva</name>
<affiliation wicri:level="1"><nlm:affiliation>Ankara Test and Analysis Laboratory, Scientific and Technical Research Council of Turkey, Ankara, Turkey.</nlm:affiliation>
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<term>Citrus sinensis (chemistry)</term>
<term>Coffee (chemistry)</term>
<term>Flavoring Agents (analysis)</term>
<term>Food Analysis (methods)</term>
<term>Furans (analysis)</term>
<term>Gas Chromatography-Mass Spectrometry (methods)</term>
<term>Hydrogen-Ion Concentration</term>
<term>Lycopersicon esculentum (chemistry)</term>
<term>Temperature</term>
<term>Time Factors</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Flavoring Agents</term>
<term>Furans</term>
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<keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Coffee</term>
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<keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Citrus sinensis</term>
<term>Lycopersicon esculentum</term>
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<term>Gas Chromatography-Mass Spectrometry</term>
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<front><div type="abstract" xml:lang="en">Headspace GC-MS has been optimized for the determination of furan in foods. The conditions of sample preparation, headspace sampling and GC separation were optimized to enhance sensitivity during GC-MS analysis. Green coffee was used to prepare a matrix matched calibration curve for furan. However, it was unexpectedly found that a green coffee sample was not blank. GC-MS analysis performed after equilibration for 30 min at 40 degrees C showed the presence of 4.2 ng/g furan in green coffee. In order to understand whether furan was naturally present or formed during headspace sampling, green coffee was investigated in time-dependent manner at headspace equilibration temperatures of 40 and 70 degrees C. It was observed that furan response continued to increase in a way similar to first order formation kinetics. The same behavior was found for freshly squeezed tomato and orange juices leading to the suspicion of furan formation during headspace equilibration. It is concluded that a matrix matched calibration for each particular food matrix is necessary to compensate for furan formation during headspace sampling, and thus, to quantify furan more accurately.</div>
</front>
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<Month>12</Month>
<Day>16</Day>
</DateCreated>
<DateCompleted><Year>2006</Year>
<Month>04</Month>
<Day>18</Day>
</DateCompleted>
<DateRevised><Year>2012</Year>
<Month>11</Month>
<Day>15</Day>
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<JournalIssue CitedMedium="Print"><Volume>22</Volume>
<Issue>12</Issue>
<PubDate><Year>2005</Year>
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<Title>Food additives and contaminants</Title>
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<Abstract><AbstractText>Headspace GC-MS has been optimized for the determination of furan in foods. The conditions of sample preparation, headspace sampling and GC separation were optimized to enhance sensitivity during GC-MS analysis. Green coffee was used to prepare a matrix matched calibration curve for furan. However, it was unexpectedly found that a green coffee sample was not blank. GC-MS analysis performed after equilibration for 30 min at 40 degrees C showed the presence of 4.2 ng/g furan in green coffee. In order to understand whether furan was naturally present or formed during headspace sampling, green coffee was investigated in time-dependent manner at headspace equilibration temperatures of 40 and 70 degrees C. It was observed that furan response continued to increase in a way similar to first order formation kinetics. The same behavior was found for freshly squeezed tomato and orange juices leading to the suspicion of furan formation during headspace equilibration. It is concluded that a matrix matched calibration for each particular food matrix is necessary to compensate for furan formation during headspace sampling, and thus, to quantify furan more accurately.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Senyuva</LastName>
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<MeshHeading><DescriptorName UI="D013696" MajorTopicYN="N">Temperature</DescriptorName>
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