TY - JOUR
T1 - Detection of decay in fresh-cut lettuce using hyperspectral imaging and chlorophyll fluorescence imaging
AU - Simko, Ivan
AU - Jimenez-Berni, Jose A.
AU - Furbank, Robert T.
N1 - Publisher Copyright:
© 2015.
PY - 2015/8/1
Y1 - 2015/8/1
N2 - Fresh-cut lettuce sold in modified atmosphere packaging (MAP) is a desirable, but highly perishable product. Decay of tissue can start a few days after processing and may be difficult to detect by quick visual observation. A system for early detection of decay and gradual evaluation of its progress is important both for lettuce processing industry and for breeding companies and institutions assessing quality of new cultivars and breeding lines. We have developed two lettuce decay indices (LEDI) that can be used to detect decay of leaf tissue. One of the indices (LEDI4) is based on three wavelengths identified from hyperspectral imaging, while the second index (LEDICF) is based on chlorophyll fluorescence imaging. In addition to detecting lettuce decay, the indices identified tissue damaged by freezing temperatures. LEDI4and LEDICFshowed almost 97% accuracy in classifying tissue as being fresh or decayed when tested on red, dark green, green, light green, and yellow leaves. Specificity of the indices decreased when tested on fresh tissue with a very limited amount of chlorophyll that visually appeared to be almost white. Both indices detected lettuce decay without opening plastic MAP bags. The non-destructive nature of the methods thus allows rapid and repeated evaluation of samples over time and presents the opportunity for development of a commercial, high throughput scanner for evaluation of bagged, fresh-cut lettuce quality.
AB - Fresh-cut lettuce sold in modified atmosphere packaging (MAP) is a desirable, but highly perishable product. Decay of tissue can start a few days after processing and may be difficult to detect by quick visual observation. A system for early detection of decay and gradual evaluation of its progress is important both for lettuce processing industry and for breeding companies and institutions assessing quality of new cultivars and breeding lines. We have developed two lettuce decay indices (LEDI) that can be used to detect decay of leaf tissue. One of the indices (LEDI4) is based on three wavelengths identified from hyperspectral imaging, while the second index (LEDICF) is based on chlorophyll fluorescence imaging. In addition to detecting lettuce decay, the indices identified tissue damaged by freezing temperatures. LEDI4and LEDICFshowed almost 97% accuracy in classifying tissue as being fresh or decayed when tested on red, dark green, green, light green, and yellow leaves. Specificity of the indices decreased when tested on fresh tissue with a very limited amount of chlorophyll that visually appeared to be almost white. Both indices detected lettuce decay without opening plastic MAP bags. The non-destructive nature of the methods thus allows rapid and repeated evaluation of samples over time and presents the opportunity for development of a commercial, high throughput scanner for evaluation of bagged, fresh-cut lettuce quality.
KW - Chlorophyll fluorescence imaging
KW - Freezing damage
KW - Fresh-cut lettuce salad
KW - Hyperspectral imaging
KW - Modified atmosphere packaging
KW - Non-destructive phenotyping
UR - http://www.scopus.com/inward/record.url?scp=84928740659&partnerID=8YFLogxK
U2 - 10.1016/j.postharvbio.2015.04.007
DO - 10.1016/j.postharvbio.2015.04.007
M3 - Article
SN - 0925-5214
VL - 106
SP - 44
EP - 52
JO - Postharvest Biology and Technology
JF - Postharvest Biology and Technology
ER -