Use of electronic nose and trained sensory panel in the evaluation of tomato quality

Sensors: From biosensors to the electronic nose

“…The electronic nose produces a tri-dimensional (n, k, t) output matrix, Shurmer and Gardner, 1992;Wilson et al 2000;Pearce et al 1993Guadarrama et al 2001Di Natale et al 2000Braggins et al 1999Vernat-Rossi 1996Luzuriaga and Balaban 1999Winquist et al 1990Bazemore et al 1997;Hines et al 1999;Sinesio et al 2000Aishima, 1991Singh et al 1996;Gardner et al 1992;Pardo et al 2000bLucas et al 1998Aparicio et al 2000Stella et al 2000;Pardo et al 2000aCarrapiso et al 2001Muhl et al 2000Magan et al 2001Zondervan et al 1999Philip et al 2000Schnürer et al 1999Werlein 2001 106 Grasas y Aceites where "n" is the number of samples, "k" is the number of sensors and "t" is the number of points supplied by each sensor. Such an amount of information requires a data pre-processing step to remove redundant and irrelevant information but retaining the original information as much as possible.…”

“…However, the main applications are found in food industry. The applications in foodstuff include quality assessment (Sinesio et al 2000), control of manufacturing process (Zondervan et al 1999), checking the aroma changes during the storage (Luzuriaga and Balaban 1999), and study of packaging materials (Werlein 2001). Table IV summarises applications of the electronic nose in Food Science.…”

“…In fact, principal components of a PCA can be used as inputs of the neural network model. On the other McGill et al 2000 Magan et al 2001;Haugen et al 1997;Romain et al 1997;Tao and Seals 1993;Dickert et al 1999;Zondervan et al 1999Paulsson et al 2000Reibel et al 2000;Qin and Wu 2001;Schweizer-Berberich et al 2000Ortega et al 2000Sinesio et al 2000 Vol. 53.…”

Ripe nectarines segregated through sensory quality evaluation and electronic nose assessment

“…Other authors obtained positive correlations among the parameters 'flavor', 'sweetness' and 'aroma' and especially between 'aroma' and 'flavor' [42], which could suggest that consumers would be willing to pay more for more aromatic peaches with a better flavor [43]. In tomatoes, the separation of different genotypes in terms of their sensory quality was also achieved with an e-nose and a trained panel [8].…”

“…The electronic nose (e-nose) is one of the most promising non-destructive devices used in fruit quality assessment, and it is based on new chemical sensors that utilize differences in the electrochemical properties of volatiles [2,8]. The sensors come into contact with volatiles, which are adsorbed in a thin layer reaction, generating a resistance that is transformed into an electrical signal.…”