Electronic Nose for Detecting Strawberry Fruit Maturity

An electronic nose (e-nose) composed of 18 different metal oxide gas sensors was used to characterize the volatile patterns of ‘Strawberry Festival’ and ‘Florida Radiance’ strawberry fruit at five developmental stages: white, half red, three-quarter red, full ripe, and overripe. Strawberry samples were harvested at three harvest dates from early February to the end of March. Three-gram aliquots of strawberry puree were employed for headspace sampling in 10-mL vials, which were incubated at 40 °C for 2 min prior to analysis. Volatiles from each sample were sampled for 2 min with data acquisition every second. After analysis, there was an 18-min delay for sensor recovery. E-nose sensor data was reproducible with 90% of sensor responses having relative standard deviations of less than 10%. Sensors P30/1, T30/1, and P30/2 were the major differentiating sensors for strawberry maturity as indicated by their loadings on the first principal component (PC1). Immature and less mature fruit were well separated from full ripe and overripe fruit on PC1, regardless of cultivar. Harvest date was separated primarily by the second principal component. E-nose volatile patterns of ‘Strawberry Festival’ and ‘Florida Radiance’ strawberry cultivars were separated at identical stages of development. E-nose technology has the potential to monitor strawberry maturity and fruit quality.

[1]  M. Hirschfelder,et al.  Rapid discrimination of strawberry varieties using a gas sensor array , 1998 .

[2]  Elizabeth A. Baldwin,et al.  Discrimination of mango fruit maturity by volatiles using the electronic nose and gas chromatography , 2008 .

[3]  Craig K. Chandler,et al.  A Sensory and Chemical Analysis of Fresh Strawberries Over Harvest Dates and Seasons Reveals Factors That Affect Eating Quality , 2008 .

[4]  C. Aubert,et al.  Changes in physicochemical characteristics and volatile constituents of strawberry (Cv. Cigaline) during maturation. , 2004, Journal of agricultural and food chemistry.

[5]  M. Peris,et al.  A 21st century technique for food control: electronic noses. , 2009, Analytica chimica acta.

[6]  Gaines E. Miles,et al.  Electronic sensing of aromatic volatiles for quality sorting of blueberries , 1996 .

[7]  C. Forney Horticultural and other Factors Affecting Aroma Volatile Composition of Small Fruit , 2001 .

[8]  B. Nicolai,et al.  Relating sensory analysis with electronic nose and headspace fingerprint MS for tomato aroma profiling , 2005 .

[9]  C. Forney,et al.  Development of Aroma Volatiles and Color during Postharvest Ripening of `Kent' Strawberries , 1995 .

[10]  Michael A. Jordan,et al.  The Composition of Strawberry Aroma Is Influenced by Cultivar, Maturity, and Storage , 1997 .

[11]  A. Rizzolo,et al.  Electronic nose to detect strawberry aroma changes during osmotic dehydration , 2006 .

[12]  C. Sanz,et al.  Aroma components and free amino acids in strawberry variety Chandler during ripening , 1992 .

[13]  Simona Benedetti,et al.  Electronic nose as a non-destructive tool to characterise peach cultivars and to monitor their ripening stage during shelf-life , 2008 .