2002
DOI: 10.1016/s0168-1605(01)00685-7
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Detection and quantification of ochratoxin A and deoxynivalenol in barley grains by GC-MS and electronic nose

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Cited by 230 publications
(141 citation statements)
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“…Results obtained during the evaluation of the matrix effect clearly showed that the developed electrochemical immunosensor for DON detection is extremely robust and insensitive to sample matrix interference (wheat, breakfast cereal and baby-food). Although other techniques such as SPR (Tüdös et al, 2003;Schnerr et al, 2002), fluorescent array biosensor (Ngundi et al, 2006) and electronic olfactory system (Olsson et al, 2002) were proposed for the detection of DON in food samples, to our knowledge none of them was challenged with complex matrices such as baby-food and breakfast cereals. We demonstrated here that the detection of DON with the developed immunosensor was possible in all these matrices.…”
Section: Discussionmentioning
confidence: 99%
“…Results obtained during the evaluation of the matrix effect clearly showed that the developed electrochemical immunosensor for DON detection is extremely robust and insensitive to sample matrix interference (wheat, breakfast cereal and baby-food). Although other techniques such as SPR (Tüdös et al, 2003;Schnerr et al, 2002), fluorescent array biosensor (Ngundi et al, 2006) and electronic olfactory system (Olsson et al, 2002) were proposed for the detection of DON in food samples, to our knowledge none of them was challenged with complex matrices such as baby-food and breakfast cereals. We demonstrated here that the detection of DON with the developed immunosensor was possible in all these matrices.…”
Section: Discussionmentioning
confidence: 99%
“…Some are advanced enough for field studies and have already reached the stage of commercialization, some are at a transition phase between research and application to analysis of food/feed samples, other still have to face the challenge of validation by multiple laboratories. A list of the emerging rapid methods for mycotoxin analysis is reported in Table 2 Keshri & Magan, 2000;Olsson et al, 2002;Presicce et al, 2006;Cheli et al, 2009b;Campagnoli et al, 2011. (Maragos, 2004;Krska & Welzig, 2006;Zeng et al, 2006;Goryacheva et al, 2007;Maragos & Busnam, 2010). The most known rapid screening methods for mycotoxin detection, especially for the screening of raw materials, are antibody-based methods, ELISA test.…”
Section: Rapid Methods For Mycotoxin Analysismentioning
confidence: 99%
“…Tests were conducted on DON levels in barley and wheat. Positive correlation was found between electronic nose data and reference concentration of DON (Olsson et al, 2002). However the performance of the regression model on prediction was quite low (PRESS =0.65, R 2 =0.63, adjR 2 =0.63) (Tognon et al, 2005;Dell'Orto et al, 2007).…”
Section: The Analytical Approaches Miming Senses: the Example Of Elecmentioning
confidence: 95%
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“…In 2002, Olsson et al [52] compared the presence of mycotoxins with the presence of VOCs in grain samples. The samples were evaluated with regard to moisture content, fungal contamination, ergosterol content and levels of two mycotoxins: ochratoxin A and deoxynivalenol.…”
Section: Electronic Nose For Fungal Detectionmentioning
confidence: 99%