2011
DOI: 10.1002/jsfa.4378
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Classification of impacted blueberries during storage using an electronic nose

Abstract: The EN could be a useful tool to estimate the effect of impacts incurred during blueberry handling on quality based on changes in volatile characteristics.

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Cited by 23 publications
(16 citation statements)
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“…The strongest trend appears to be the expanded utilization of e-nose devices as a monitoring tool in the food industry, assuring the safety and quality of consumable plant products, continuing with the development of new methods to detect chemical contaminants [350,391], adulterations with baser elements [190,259,260], food-borne microbes and pathogens [263,351,392395], and toxins [84,311,396] in crops and food products. Similarly, new food-analysis e-nose methods are being developed to detect changes in VOCs released from foods and beverages in storage to assess shelf-life [346,397,398] and quality [185,206,399–403], and for chemical analyses [404,405], classifications [227,232,346,406,407], and discriminations [162,218,228,408] of food types, varieties and brands. Electronic-nose applications to detect plant pests in preharvest and postharvest crops and tree species continue to expand to include new insect [54–61] and disease [111,112,339,409413] pests, primarily microbial plant pathogens, beyond those originally reported by Wilson et al [2,106,107].…”
Section: Discussionmentioning
confidence: 99%
“…The strongest trend appears to be the expanded utilization of e-nose devices as a monitoring tool in the food industry, assuring the safety and quality of consumable plant products, continuing with the development of new methods to detect chemical contaminants [350,391], adulterations with baser elements [190,259,260], food-borne microbes and pathogens [263,351,392395], and toxins [84,311,396] in crops and food products. Similarly, new food-analysis e-nose methods are being developed to detect changes in VOCs released from foods and beverages in storage to assess shelf-life [346,397,398] and quality [185,206,399–403], and for chemical analyses [404,405], classifications [227,232,346,406,407], and discriminations [162,218,228,408] of food types, varieties and brands. Electronic-nose applications to detect plant pests in preharvest and postharvest crops and tree species continue to expand to include new insect [54–61] and disease [111,112,339,409413] pests, primarily microbial plant pathogens, beyond those originally reported by Wilson et al [2,106,107].…”
Section: Discussionmentioning
confidence: 99%
“…26 There was increasing dissimilarity among fresh blueberry fruits following mechanical injury, which supports the contention that greater quantitative and qualitative changes occur in blueberry volatiles. 26 Eight sample materials used in car manufacture were studied for the discrimination of odors from trim plastic materials used in automobiles. 27 The tested samples included floor acoustic insulation, roof lining, rear trunk lining, heating pipe, window sealing, foam wire holder, and wiring.…”
Section: Electronic Nosementioning
confidence: 55%
“…26 Repeated impacts caused no skin rupture or leakage after treatment or during storage. 26 There was increasing dissimilarity among fresh blueberry fruits following mechanical injury, which supports the contention that greater quantitative and qualitative changes occur in blueberry volatiles. 26 Eight sample materials used in car manufacture were studied for the discrimination of odors from trim plastic materials used in automobiles.…”
Section: Electronic Nosementioning
confidence: 96%
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