Guthrie, J. and Walsh, K.B. (1997) Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy. Australian Journal of Experimental Agriculture, 37 (2). pp. 253-263.
Article Link(s): http://dx.doi.org/10.1071/EA96026
Publisher URL: http://www.publish.csiro.au
The potential of near infra-red (NIR) spectroscopy for non-invasive measurement of fruit quality of pineapple (Ananas comosus var. Smooth Cayenne) and mango (Magnifera indica var. Kensington) fruit was assessed. A remote reflectance fibre optic probe, placed in contact with the fruit skin surface in a light-proof box, was used to deliver monochromatic light to the fruit, and to collect NIR reflectance spectra (760–2500 nm).
The probe illuminated and collected reflected radiation from an area of about 16 cm2. The NIR spectral attributes were correlated with pineapple juice Brix and with mango flesh dry matter (DM) measured from fruit flesh directly underlying the scanned area. The highest correlations for both fruit were found using the second derivative of the spectra (d2 log 1/R) and an additive calibration equation. Multiple linear regression (MLR) on pineapple fruit spectra (n = 85) gave a calibration equation using d2 log 1/R at wavelengths of 866, 760, 1232 and 832 nm with a multiple coefficient of determination (R2) of 0.75, and a standard error of calibration (SEC) of 1.21 °Brix. Modified partial least squares (MPLS) regression analysis yielded a calibration equation with R2 = 0.91, SEC = 0.69, and a standard error of cross validation (SECV) of 1.09 oBrix. For mango, MLR gave a calibration equation using d2 log 1/R at 904, 872, 1660 and 1516 nm with R2 = 0.90, and SEC = 0.85% DM and a bias of 0.39. Using MPLS analysis, a calibration equation with R2 = 0.98, SEC = 0.54 and SECV = 1.19 was obtained. We conclude that NIR technology offers the potential to assess fruit sweetness in intact whole pineapple and DM in mango fruit, respectively, to within 1° Brix and 1% DM, and could be used for the grading of fruit in fruit packing sheds.
|Additional Information:||Reproduced with permission from © CSIRO Publishing. Access to published version may be available via Publisher’s website.|
|Keywords:||Non-invasive assessment; near infra-red (NIR) spectroscopy; fruit quality assessment.|
|Subjects:||Technology > Technology (General) > Spectroscopy > NIR (Near Infrared)|
Plant culture > Fruit and fruit culture > Culture of individual fruits or types of fruit > Pineapple
Plant culture > Fruit and fruit culture > Culture of individual fruits or types of fruit > Stonefruit
|Deposited On:||09 Jul 2004|
|Last Modified:||28 Mar 2011 03:36|
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