2001
DOI: 10.1016/s0925-4005(01)00705-5
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Electronic nose based investigation of the sensorial properties of peaches and nectarines

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Cited by 75 publications
(32 citation statements)
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“…Furthermore, Infante et al (2008a) were able to discriminate between different cold storage periods of peach using the e-nose. Although positive correlations between e-nose and sensorial analysis have been previously reported (Di Natale et al 2001), in the present study only the e-nose was able to distinguish between different maturity levels, while the sensory analysis was unable to establish differences for 'aroma' among them. This result likely reflects the differences in sensitivity between the e-nose and the trained panel, expressed by a homogeneity of the score observed for the descriptor 'aroma' in almost all the tested cultivars, except between M1 and M2 of 'Antares'.…”
Section: Cultivarcontrasting
confidence: 85%
“…Furthermore, Infante et al (2008a) were able to discriminate between different cold storage periods of peach using the e-nose. Although positive correlations between e-nose and sensorial analysis have been previously reported (Di Natale et al 2001), in the present study only the e-nose was able to distinguish between different maturity levels, while the sensory analysis was unable to establish differences for 'aroma' among them. This result likely reflects the differences in sensitivity between the e-nose and the trained panel, expressed by a homogeneity of the score observed for the descriptor 'aroma' in almost all the tested cultivars, except between M1 and M2 of 'Antares'.…”
Section: Cultivarcontrasting
confidence: 85%
“…There have been several reports on electronic sensing in environmental control, medical diagnostics and the food industry (Keller et al 1995, Schaller et al 1998, Hai and Wang 2006. Some authors reported positive applications of EN technology for discriminating different fruits' quality and many experiments were performed including testing orange (Di Natale et al 2001a), melons (Benady et al 1995), blueberries (Simon et al 1996), pears (Oshita et al 2000, Correa et al 2001, peaches (Molto et al 1999, Brezmes et al 2000, Di-Natale et al 2001b, bananas , apples , Brezmes et al 2000, Saevels et al 2003 and nectarines (Di-Natale et al 2001b). These studies showed that EN has greater potential for nondestructive quality evaluation of mangoes, which emanate different strong aromatic compounds at different stages of maturity and ripening.…”
Section: Nuclear Magnetic Resonance (Nmr) Techniquementioning
confidence: 99%
“…Other applications to food analysis include the identification of peaches cultivars [26], the determination of the optimal picking time of apples [27] and the detection of off-flavors in packaged chocolate [28].…”
Section: Mass Transducers: Quartz Microbalancementioning
confidence: 99%