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| Authors: | L. Abbey, D.C. Joyce, J. Aked, B. Smith |
| Keywords: | Allium cepa, clay, flavour, headspace volatiles, sandy loam, soil water potential |
Abstract:
Quality
discrimination for spring onions using conventional methods of sensory
appraisal and analytical tests is difficult, expensive and time-consuming.
Discrimination of spring onion characteristics with electronic nose (E-nose)
technology was investigated.
Plants of cv.
White Lisbon were grown in a
glasshouse in pots containing clay (Alluvial gley) or sandy loam (Brown earth).
Irrigation regimes were regular watering to near field capacity (-0.01 MPa soil
water potential, SWP) or re-watering to near field capacity when available
moisture level was depleted to either ≤50% (-0.80 MPa SWP) or ≤25%
(-1.19 MPa SWP). The E-nose sensor response
(%dR/R) was significantly (P<0.01) influenced by irrigation, with %dR/R
decreasing in association with reducing soil water availability.
Effects of
soil type and irrigation regime x soil type interaction for %dR/R were not
significant (P>0.05). Two-dimension Principal Component Analysis (PCA) plots showed significant (D2>3.0)
differences among data set clusters.
Increases in water-deficit level reduced
separations between data set clusters for plants grown on both clay and on
sandy loam.
Regular irrigation increased pyruvic acid concentration by
43% on the clay as compared with 8% increase in mild water-deficit stressed plants
on clay versus severely stressed plants.
In contrast, pyruvic acid
concentration was reduced by 8% in regularly watered plants grown on the sandy
loam as compared with 8% increase in mild water-deficit stressed plants on
sandy loam versus severely stressed plants.
In conclusion, significant (D2>3.0)
separations of data set clusters in association with water-deficit stress but
not soil type were evident on the 2D PCA plots.
However, while the E-nose has demonstrated potential for
discrimination of spring onion quality, further detailed work is required to
characterise the interactions of spring onion volatile components with
conducting polymer sensors.
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